for the main title\\n- Use for each major section\\n- Generate unique kebab-case IDs for all headings\\n- Ensure proper heading hierarchy (h1 → h2 → h3, no skipping)\\n\\n**Output Specifications:**\\n- Return ONLY the article content (no DOCTYPE, html, head, body tags)\\n- No CSS styling or class attributes\\n- Valid HTML5 that can be directly inserted into a template\\n- Proper HTML entity encoding for special characters\\n\\nGenerate the complete HTML article content now.\\n\",\n \"options\": {\n \"systemMessage\": \"=You are a specialized JSON-to-HTML converter that transforms structured data into semantic HTML article content. Your output must be consistent, valid, and directly insertable into web templates.\\n\\n# PRIMARY FUNCTION\\nTransform JSON data into clean HTML wrapped in an tag with proper semantic structure, accessibility features, and consistent formatting.\\n\\n# STRICT OUTPUT REQUIREMENTS\\n- Output ONLY content between and tags\\n- NO DOCTYPE, html, head, body, or any wrapper tags\\n- NO CSS styles or class attributes\\n- NO JavaScript or script tags\\n- Must be valid HTML5 that passes validation\\n\\n# JSON INTERPRETATION RULES\\n1. **Object Keys** → Section headings (h2, h3, h4 based on nesting depth)\\n2. **String Values** → Paragraph content in tags\\n3. **Arrays** → Unordered lists (
- ) unless context suggests ordered lists\\n4. **Nested Objects** → Subsections with appropriate heading hierarchy\\n5. **URLs** → Convert to proper tags with href and descriptive text\\n6. **Empty/Null Values** → Skip entirely, do not create empty sections\\n\\n# HTML STRUCTURE HIERARCHY\\n```\\n
\\n \\n [Main Title]
\\n \\n \\n \\n [Section Title]
\\n \\n [Subsection Title]
\\n [Content]
\\n \\n - [List item]
\\n
\\n \\n \\n \\n```\\n\\n# MANDATORY FORMATTING RULES\\n1. **IDs**: Generate kebab-case IDs for all headings (h1-h6)\\n2. **ARIA**: Include aria-labelledby for all sections referencing heading IDs\\n3. **Text Processing**: \\n - Escape HTML entities (&, <, >, ")\\n - Convert line breaks to separate tags\\n - Wrap standalone text in
tags\\n4. **Links**: Auto-detect URLs and wrap in text\\n5. **Emphasis**: Use for important terms, for emphasis\\n\\n# ERROR HANDLING\\n- If JSON is malformed: Output error message in tag within article\\n- If empty JSON: Output No content available
\\n- Always include with for main title\\n- Use consistent ID naming: section-1, section-2, subsection-1-1, etc.\\n- Maintain proper heading hierarchy (don't skip levels)\\n- End with closing
tag\\n\\nProcess the JSON systematically and output only the HTML article content.\\n\"\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 2,\n \"position\": [\n -20,\n -80\n ],\n \"id\": \"4f39c987-d009-4f6f-9a2e-d93a6a23e0f2\",\n \"name\": \"Formatter\",\n \"executeOnce\": true\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"654e6696-7705-4021-87df-1edf19bbe439\",\n \"name\": \"html\",\n \"value\": \"={{ $json.html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 560,\n -80\n ],\n \"id\": \"d61c1ee0-6d2e-491f-86da-99901e029d0d\",\n \"name\": \"get_html_output\",\n \"notes\": \".replace('html', '').replaceAll(\\\"```\\\", '').replaceAll(\\\"\\\\n\\\", \\\"\\\") \"\n },\n {\n \"parameters\": {\n \"html\": \"\\n\\n
\\n \\n \\n {{ $('Start').item.json.title }} \\n \\n\\n\\n{{ $json.output }}\\n\\n\"\n },\n \"type\": \"n8n-nodes-base.html\",\n \"typeVersion\": 1.2,\n \"position\": [\n 340,\n -80\n ],\n \"id\": \"f21c55b8-273e-4cd8-a386-0e03126daac0\",\n \"name\": \"generate_html_report\"\n },\n {\n \"parameters\": {\n \"workflowInputs\": {\n \"values\": [\n {\n \"name\": \"filename\"\n },\n {\n \"name\": \"title\"\n },\n {\n \"name\": \"content\",\n \"type\": \"any\"\n }\n ]\n }\n },\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n -340,\n -80\n ],\n \"id\": \"8e77f839-6bc5-456f-87bc-580631ba08c5\",\n \"name\": \"Start\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need an OpenAI API Key.\\n\\n### Demo\\nYou can find a a tutorial [here](https://www.youtube.com/@Marvomatic).\\n\\n\\n### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 380,\n \"width\": 760\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 400,\n 100\n ],\n \"id\": \"56463b9f-9c6b-4137-8a49-e0c905238872\",\n \"name\": \"Sticky Note5\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"convert_to_html_file\": {\n \"main\": [\n []\n ]\n },\n \"convert_to_base64\": {\n \"main\": [\n [\n {\n \"node\": \"convert_to_html_file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Formatter\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Formatter\": {\n \"main\": [\n [\n {\n \"node\": \"generate_html_report\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_html_output\": {\n \"main\": [\n [\n {\n \"node\": \"convert_to_base64\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"generate_html_report\": {\n \"main\": [\n [\n {\n \"node\": \"get_html_output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Start\": {\n \"main\": [\n [\n {\n \"node\": \"Formatter\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"556b940d-a96f-40d9-b72d-d69b5482d56f\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"lr4FCy9jvt89twbt\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Tools - Report Generator", "node_count": 8, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 7\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.googleBigQueryTool, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"SEO Data Analyst\",\n \"nodes\": [\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n 80,\n 0\n ],\n \"id\": \"e68f379c-160b-40e1-99ca-26eb326961a8\",\n \"name\": \"When chat message received\",\n \"webhookId\": \"78186b53-b072-4a0f-aaed-a585fe9e1b45\"\n },\n {\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n 220\n ],\n \"id\": \"01365ff6-8b71-4e2b-8f41-1b4e11bdf3bc\",\n \"name\": \"Simple Memory\"\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"value\": \"gpt-4.1-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"gpt-4.1-mini\"\n },\n \"options\": {\n \"temperature\": 0\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 320,\n 220\n ],\n \"id\": \"f117fbdb-6cc7-40e8-a9cb-a15815449599\",\n \"name\": \"OpenAI Chat Model\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"projectId\": {\n \"__rl\": true,\n \"value\": \"automations-451008\",\n \"mode\": \"list\",\n \"cachedResultName\": \"automations\",\n \"cachedResultUrl\": \"\"\n },\n \"sqlQuery\": \"{{ $fromAI('sql_statement') }}\",\n \"options\": {\n \"returnAsNumbers\": true\n }\n },\n \"type\": \"n8n-nodes-base.googleBigQueryTool\",\n \"typeVersion\": 2.1,\n \"position\": [\n 660,\n 220\n ],\n \"id\": \"6d8fb936-0f44-4896-a00d-6beb80007152\",\n \"name\": \"Execute BigQuery Statements\",\n \"credentials\": {\n \"googleBigQueryOAuth2Api\": {\n \"id\": \"9x33JaSI9N1JQ0NB\",\n \"name\": \"Google BigQuery account\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"=Always execute the BigQuery SQL Query to get the correct data from the databases. Please anwswer then the following questions:\\n{{ $json.chatInput }}\",\n \"options\": {\n \"systemMessage\": \"=You are an **AI SEO Data Analyst** with access to two powerful tools:\\n\\n- **Website Agent:** Can scrape and analyze any web page, extracting the title, meta description, a summary, and performing n-gram analysis of the content.\\n- **Google BigQuery Tool:** Can query the table `add-your-table-name-here` containing Google Search Console data.\\n\\nYour **primary goal** is to help users identify **keywords that should be better integrated into their website content** to improve SEO performance.\\n\\n---\\n\\n#### **Your Workflow for Every User Question:**\\n\\n1. **Analyze** the user's question and determine if it relates to website content, search performance data, or both.\\n2. **If the question involves a specific URL or page:**\\n - Use the Website Agent to scrape and analyze the page.\\n - Extract and return:\\n - Title\\n - Meta description\\n - Summary of the content\\n - N-gram analysis (highlighting most frequent 1-3 word phrases)\\n3. **If the question involves search performance or keywords:**\\n - Generate the appropriate SQL query using the table and schema below.\\n - Execute the SQL query using the Google BigQuery tool.\\n - Format the results into a clear, user-friendly response.\\n4. **For keyword integration analysis:**\\n - Use BigQuery to identify high-impression or high-click keywords that are underrepresented in the website content (as revealed by the n-gram analysis).\\n - Suggest which keywords should be better integrated into the page or site.\\n5. **Return** a combined, actionable answer to the user, including:\\n - Website content analysis (title, meta, summary, n-grams)\\n - Search Console data (top queries, missing keywords, etc.)\\n - Clear recommendations for keyword integration\\n\\n---\\n\\n#### **Available Data:**\\n\\n**BigQuery Table:** `add-your-table-name-here`\\n\\n**Schema:**\\n- `data_date` (DATE): Date of the data entry\\n- `url` (STRING): URL of the page\\n- `query` (STRING): Search query (keyword)\\n- `is_anonymized_query` (BOOLEAN): True if the query is anonymized\\n- `is_anonymized_discover` (BOOLEAN): True if the discover data is anonymized\\n- `country` (STRING): Country code\\n- `search_type` (STRING): Type of search (web, image, video)\\n- `device` (STRING): Device type (desktop, mobile, tablet)\\n- `impressions` (INTEGER): Number of times the result was shown\\n- `clicks` (INTEGER): Number of times the result was clicked\\n- `sum_position` (INTEGER): Sum of positions for the result\\n\\n**Default filters:** \\nAlways set `is_anonymized_query` and `is_anonymized_discover` to false in your SQL queries.\\n\\n---\\n\\n#### **SQL Query Guidelines:**\\n\\n- Use the exact table name: `add-your-table-name-here`\\n- For time-based questions, use the `data_date` column with BigQuery date functions\\n- For \\\"top\\\" or \\\"best performing\\\" results, order by clicks (highest first)\\n- Use appropriate aggregations (SUM, COUNT, AVG) when grouping data\\n- Always include proper WHERE clauses for date ranges and filters\\n\\n---\\n\\n#### **Result Formatting Guidelines:**\\n\\n- **For lists/tables:** Present as clean tables with clear headers\\n- **For single values:** Provide a short narrative explanation\\n- **For comparisons:** Clearly explain the difference or trend\\n- **For keyword integration:** Clearly list keywords that are high-performing in Search Console but underused in the page content, and recommend integrating them\\n- **Always:** Use non-technical language that any business user can understand\\n- **Never:** Show raw SQL queries or technical database output to the user\\n\\n---\\n\\n#### **Examples:**\\n\\n**User:** \\\"Analyze https:domain.com/slug and tell me which keywords from Search Console should be added to the page.\\\"\\n\\n**→ Workflow:**\\n- Scrape and analyze `https:domain.com/slug` (title, meta, summary, n-grams)\\n- Query BigQuery for top queries for `https:domain.com/slug`\\n- Compare n-grams to top queries\\n- Return:\\n\\n> **Page Analysis:** \\n> - Title: \\\"10 SEO Tips for 2024\\\" \\n> - Meta Description: \\\"Boost your rankings with these actionable SEO tips.\\\" \\n> - Summary: \\\"This article covers the most effective SEO strategies for 2024...\\\" \\n> - Top n-grams: \\\"SEO tips\\\", \\\"search engine\\\", \\\"content optimization\\\"\\n>\\n> **Search Console Data:** \\n> | Keyword | Clicks | Impressions |\\n> |-----------------|--------|-------------|\\n> | \\\"SEO checklist\\\" | 120 | 2,000 |\\n> | \\\"SEO audit\\\" | 90 | 1,500 |\\n>\\n> **Recommendation:** \\n> The keywords \\\"SEO checklist\\\" and \\\"SEO audit\\\" are driving significant impressions but are not prominent in your page content. Consider integrating these keywords naturally into your article to improve relevance and rankings.\\n\\n---\\n\\n#### **Important:**\\n\\n- Always use the correct tool for each part of the workflow\\n- Never show SQL code to the user\\n- Always format results in a business-friendly way\\n- If a question is unclear, ask one clarifying question before proceeding\\n\\n\"\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 2,\n \"position\": [\n 420,\n 0\n ],\n \"id\": \"796b093c-edc8-49fc-b047-f8e0ca6db13e\",\n \"name\": \"SEO Data Analyst\"\n },\n {\n \"parameters\": {\n \"description\": \"Call this tool when a website needs to be optimized. The input should be the url.\",\n \"workflowId\": {\n \"__rl\": true,\n \"value\": \"4DiQ75K8cdqHbobH\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Tool - Website Agent\"\n },\n \"workflowInputs\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {},\n \"matchingColumns\": [],\n \"schema\": [],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"typeVersion\": 2.2,\n \"position\": [\n 840,\n 220\n ],\n \"id\": \"e9bb3469-7e15-451d-8e6c-31c00a794466\",\n \"name\": \"Crawl URL\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **BigQuery**\\n- **Serper**\\n- **OpenAI**\\n#### Getting Started\\n1. Set up the Bulk Data Export you can find a tutorial [here](https://youtu.be/DlhXvS2Hsj4?si=Pyxci25i-zBO4A5U).\\n2. Configure your API credentials for Serper Dev and OpenAI within n8n. You can find an example [here](https://youtu.be/SFI-cyoKnKs?si=RXrK-O_KSpKP-i4m).\\n3. Import the workflows into your n8n instance.\\n4. Update any required variables or nodes in the workflow to point to your credentials and API keys.\\n5. Update the System and User Prompt with the correct BigQuery table names. \\n\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 520,\n \"width\": 760\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 1000,\n -100\n ],\n \"id\": \"a08cb5c9-1521-4816-9ae6-8fa9c3914016\",\n \"name\": \"Sticky Note5\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Simple Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute BigQuery Statements\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Crawl URL\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"df36d629-37e6-4745-a930-49d08b1e8db3\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"N5qSw2wVcptJIeQe\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "SEO Data Analyst", "node_count": 7, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for tool serper crawl url", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 3\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Tool - Serper Crawl URL\",\n \"nodes\": [\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7320f474-4ba6-47b7-9ce7-82529cbb12ff\",\n \"name\": \"title\",\n \"value\": \"={{ $json.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"a047ca1d-04e0-493b-9d88-eddc4ec4478c\",\n \"name\": \"description\",\n \"value\": \"={{ $json.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"607f18e4-364c-4594-8821-3800b28d3c9b\",\n \"name\": \"markdown\",\n \"value\": \"={{ $json.markdown }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 280,\n 0\n ],\n \"id\": \"635191a6-85dc-439d-8616-ceabb5294a71\",\n \"name\": \"Get Metadata\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://scrape.serper.dev\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"={{ $json.query }}\"\n },\n {\n \"name\": \"includeMarkdown\",\n \"value\": \"true\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 60,\n 0\n ],\n \"id\": \"b53e65c6-0b22-4b89-b718-32143058205e\",\n \"name\": \"Serper\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n },\n {\n \"parameters\": {\n \"inputSource\": \"passthrough\"\n },\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n -160,\n 0\n ],\n \"id\": \"59fec696-d611-4a2d-b35b-ea3a7e7e7957\",\n \"name\": \"When Executed by Another Workflow\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Get Metadata\": {\n \"main\": [\n []\n ]\n },\n \"Serper\": {\n \"main\": [\n [\n {\n \"node\": \"Get Metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When Executed by Another Workflow\": {\n \"main\": [\n [\n {\n \"node\": \"Serper\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c8caef1a-c775-4584-832c-84dd6865aea5\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"RkFq0paD5YLLof2K\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Tool - Serper Crawl URL", "node_count": 3, "category": "General Automation"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.lmChatOpenAi to tool website agent", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 4\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Tool - Website Agent\",\n \"nodes\": [\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json.query }}\",\n \"options\": {\n \"systemMessage\": \"=### System Prompt for n8n AI Agent: Website Analyzer\\n\\nYou are an AI Agent designed to analyze web pages. \\nWhen the user says something similiar to, \\\"analyze the following page\\\" and provides a URL, follow these steps:\\n\\n1. **Scrape the web page at the provided URL using the available Tool.**\\n2. **Extract and return the following information:**\\n - **Title:** The main title of the page.\\n - **Description:** The meta description or a brief summary if no meta description is available.\\n - **Summary:** A concise summary of the main content of the page.\\n - **N-gram Analysis:** \\n - **Guidelines for N-gram Analysis:**\\n - Only analyze the main textual content of the page (ignore navigation, ads, and boilerplate).\\n - Remove all common stop words (such as \\\"the\\\", \\\"and\\\", \\\"is\\\", etc.) from the analysis.\\n - Normalize text by converting to lowercase and removing punctuation.\\n - For each n-gram type, list the top 10 most frequent items.\\n - Present results as lists, ordered by frequency (most frequent first).\\n - For bigrams and trigrams, do not include n-grams that contain only stop words.\\n - If the page has very little text, return as many n-grams as possible and note the limitation.\\n\\n - **Unigram:** List of the most frequent single words (excluding stop words).\\n - **Bigram:** List of the most frequent two-word combinations (excluding those with only stop words).\\n - **Trigram:** List of the most frequent three-word combinations (excluding those with only stop words).\\n\\n**Output your results in a clear, structured format.** \\nIf any information is missing or cannot be found, state this explicitly.\\n\\n---\\n\\n#### Example Output\\n\\n**Title:** [Page Title] \\n**Description:** [Meta Description or brief summary] \\n**Summary:** [Concise summary of main content] \\n**N-gram Analysis:** \\n- **Unigram:** [word1, word2, ...] \\n- **Bigram:** [word1 word2, word2 word3, ...] \\n- **Trigram:** [word1 word2 word3, word2 word3 word4, ...]\"\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 2,\n \"position\": [\n 220,\n 0\n ],\n \"id\": \"3c621351-ad1f-4652-a2c8-0fe0db3a094a\",\n \"name\": \"Scrape Agent\"\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4.1-mini\"\n },\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 200,\n 200\n ],\n \"id\": \"e01072a7-f096-4ea2-b238-da6362e9fd3d\",\n \"name\": \"GPT-4.1-mini\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"inputSource\": \"passthrough\"\n },\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n 0,\n 0\n ],\n \"id\": \"4d03f030-1eef-4c0c-8055-2f0f11096f0b\",\n \"name\": \"When Executed by Another Workflow\"\n },\n {\n \"parameters\": {\n \"description\": \"Call this tool to scrape websites by providing a URL and return the prepared data.\",\n \"workflowId\": {\n \"__rl\": true,\n \"value\": \"RkFq0paD5YLLof2K\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Tool - Serper Crawl URL\"\n },\n \"workflowInputs\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {},\n \"matchingColumns\": [],\n \"schema\": [],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"typeVersion\": 2.2,\n \"position\": [\n 420,\n 220\n ],\n \"id\": \"af549453-a56e-4ca6-bffe-a1b074234d07\",\n \"name\": \"Call Serper\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"GPT-4.1-mini\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Scrape Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When Executed by Another Workflow\": {\n \"main\": [\n [\n {\n \"node\": \"Scrape Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Call Serper\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Scrape Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"4d9d630a-3d6f-4a6b-83ea-8607cec1d98b\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"4DiQ75K8cdqHbobH\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Tool - Website Agent", "node_count": 4, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for product serp analysis (serpapi + crawl4ai)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product - SERP Analysis (SerpAPI + Crawl4AI)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -880,\n 940\n ],\n \"id\": \"ab9130ad-2ebe-457b-a442-277e406dfd0b\",\n \"name\": \"On form submission\",\n \"webhookId\": \"9180df6f-cf6d-4d11-941e-db5659923b24\"\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"DESKTOP\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 1040\n ],\n \"id\": \"d14ba2d7-7120-4ad5-9f2a-0e6b1b5f5998\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 820\n ],\n \"id\": \"996db5a2-32eb-4cba-b708-cc7057875030\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n }\n }\n },\n {\n \"parameters\": {\n \"content\": \"# Get SERPs by Keyword and Country\",\n \"height\": 1440,\n \"width\": 840\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -920,\n 360\n ],\n \"id\": \"612a8dc7-1b74-4960-972f-e22982e34e3c\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 20,\n 860\n ],\n \"id\": \"29a3e353-d867-4811-b451-e1dfb620c6c6\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 260,\n 860\n ],\n \"id\": \"8a78895b-95b1-402d-8398-93f8ac2ef62b\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 480,\n 860\n ],\n \"id\": \"5030363b-0373-48a8-b9ef-f1400240bc32\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 954676522,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\",\n \"snippet\": \"={{ $json.snippet}}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 700,\n 860\n ],\n \"id\": \"e454c712-dfe5-4188-9592-4fbd80c2c1bd\",\n \"name\": \"insert_faqs\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 640\n ],\n \"id\": \"0bf66d60-a0dc-41d8-92da-d28dc0994e56\",\n \"name\": \"get_faqs_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 820\n ],\n \"id\": \"599b9649-517f-4c97-a09c-f49bd6b4a2c8\",\n \"name\": \"get_serp_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1040\n ],\n \"id\": \"27a98c0c-9cc6-4baa-a449-6c092790cbe5\",\n \"name\": \"get_serp_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1260\n ],\n \"id\": \"bc8b3e76-66c3-414c-8acf-d7954957c107\",\n \"name\": \"get_faqs_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.related_searches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 400\n ],\n \"id\": \"f64a255d-2cd5-444d-a8a2-27150c04a728\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.related_searches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1500\n ],\n \"id\": \"c8fae186-62ae-4882-b9f2-c2a3a7a3c708\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 360\n ],\n \"id\": \"b37c6854-03b2-423b-ab79-ad86d6a32e08\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 760\n ],\n \"id\": \"66a7e0bd-6726-4189-bc44-b7e45659ea7e\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 0,\n 480\n ],\n \"id\": \"766c389d-3a1b-48dd-8f1f-2324278b9168\",\n \"name\": \"merge_faq1\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 1692925487,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.name }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 720,\n 480\n ],\n \"id\": \"ce1a7673-704d-4131-9435-8f494224c9f5\",\n \"name\": \"insert_related_searches\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"name\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 520,\n 480\n ],\n \"id\": \"df2c5afa-5d04-475f-9e93-d9fd70f5ab6c\",\n \"name\": \"remove_duplicates_in_questions1\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **SerpApi**\\n- **Crawl4AI**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for SerpApi, Crawl4AI, and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 940,\n 360\n ],\n \"id\": \"03f13c66-ead3-4718-91b6-30ac8a79444d\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 640,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 1160\n ],\n \"id\": \"01a82bfd-f020-4a05-b4b3-3a971283c558\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 0,\n 1280\n ],\n \"id\": \"84c45bc1-fe19-4618-b101-ab0e5c047269\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 0,\n 1480\n ],\n \"id\": \"10bbd663-ba8c-41f7-93eb-588d42167518\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 220,\n 1280\n ],\n \"id\": \"15d22f8f-7f73-4d50-9bd7-05ee5b113ba6\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 440,\n 1280\n ],\n \"id\": \"61b4ff33-c12f-4dcf-9208-01e82c42a0bf\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 660,\n 1280\n ],\n \"id\": \"172bfff0-b196-43bc-9f5b-0e9a664b4a83\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 860,\n 1280\n ],\n \"id\": \"11354eb9-a23c-4569-bf30-0796e3fdcd46\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position, title\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 1100,\n 1280\n ],\n \"id\": \"54ffe9d9-cd5a-4c2e-bb84-2f2459c9c1d1\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"url\": \"=http://crawl4ai:11235/task/{{ $json.task_id }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 780,\n 1500\n ],\n \"id\": \"5e699d2c-9d6f-437d-838f-6641cdd3348d\",\n \"name\": \"get_status\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"result.metadata.title\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"result.metadata.description\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"result.metadata['og:url']\",\n \"value\": \"={{ $('get_status').item.json.result.metadata['og:url'] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"result.cleaned_html\",\n \"value\": \"={{ $('get_status').item.json.result.cleaned_html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1200,\n 1500\n ],\n \"id\": \"767e4147-b212-4833-a9de-89acce01b1fa\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERPs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1860,\n 1500\n ],\n \"id\": \"0263981c-763c-4eba-ad3d-cd89f1c2d615\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"http://crawl4ai:11235/crawl\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"urls\",\n \"value\": \"={{ $json.link }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 360,\n 1500\n ],\n \"id\": \"ba772328-aa75-4f32-b170-10686a298b2e\",\n \"name\": \"get_page_content\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 580,\n 1500\n ],\n \"id\": \"a0847995-63bc-4d45-ad6e-a72d58b80ac6\",\n \"name\": \"sleep\",\n \"webhookId\": \"39bf1438-2316-4e3e-bb9d-0dd5d29b3509\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"100015ac-f73c-406d-acd5-49a41d60111a\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 980,\n 1500\n ],\n \"id\": \"cae29db7-2e8b-4497-90f7-d47ad206e069\",\n \"name\": \"check_status\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1520,\n 1280\n ],\n \"id\": \"e8fcf388-c73a-4409-8386-0412992825aa\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 180,\n 480\n ],\n \"id\": \"f61060db-010d-49b7-a5fd-4db1fecc86e6\",\n \"name\": \"get_related_searches\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"items\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 360,\n 480\n ],\n \"id\": \"820b964d-a28a-430f-a276-e41a2719083f\",\n \"name\": \"get_names\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1540,\n 1500\n ],\n \"id\": \"45770e8f-b9ff-4a5a-ab70-c22033e2225b\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n }\n ],\n \"pinData\": {\n \"On form submission\": [\n {\n \"json\": {\n \"Focus Keyword\": \"mit ki musik erstellen\",\n \"Country\": \"de\",\n \"submittedAt\": \"2025-04-29T15:56:44.169-04:00\",\n \"formMode\": \"test\"\n }\n }\n ],\n \"get_desktop_serp_results\": [\n {\n \"json\": {\n \"search_metadata\": {\n \"id\": \"68112b375f6d02daaeef0fa9\",\n \"status\": \"Success\",\n \"json_endpoint\": \"https://serpapi.com/searches/9a6f2cac55259302/68112b375f6d02daaeef0fa9.json\",\n \"created_at\": \"2025-04-29 19:40:39 UTC\",\n \"processed_at\": \"2025-04-29 19:40:39 UTC\",\n \"google_url\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&sourceid=chrome&ie=UTF-8\",\n \"raw_html_file\": \"https://serpapi.com/searches/9a6f2cac55259302/68112b375f6d02daaeef0fa9.html\",\n \"total_time_taken\": 0.96\n },\n \"search_parameters\": {\n \"engine\": \"google\",\n \"q\": \"mit ki musik erstellen\",\n \"google_domain\": \"google.com\",\n \"gl\": \"de\",\n \"device\": \"desktop\"\n },\n \"search_information\": {\n \"query_displayed\": \"mit ki musik erstellen\",\n \"total_results\": 19900000,\n \"time_taken_displayed\": 0.31,\n \"organic_results_state\": \"Results for exact spelling\"\n },\n \"knowledge_graph\": {\n \"entity_type\": \"related_questions\"\n },\n \"inline_videos\": [\n {\n \"position\": 1,\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444b045fecf9651c4be6432e6eefc277c84f.jpeg\",\n \"channel\": \"KI-Wissen für Einsteiger und Experten\",\n \"duration\": \"6:48\",\n \"platform\": \"YouTube\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Vorstellung der Plattform Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=0\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1a1d7e1ad6c5f7d60a5cd99a7e7e2265b.jpeg\"\n },\n {\n \"time\": \"01:13\",\n \"title\": \"Eigenen Song erstellen in Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=73\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1751330a80b04e723b39fc46b127044ec.jpeg\"\n },\n {\n \"time\": \"03:10\",\n \"title\": \"Eigener Jingle anhören Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=190\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1fc64c205503eae877fda03f8db30b1f3.jpeg\"\n },\n {\n \"time\": \"04:15\",\n \"title\": \"Einstellungen Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=255\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1f52a407c085baf694629a08a7f8ea87a.jpeg\"\n }\n ]\n },\n {\n \"position\": 2,\n \"title\": \"KI Musik erstellen - Wahnsinnig gute Musik mit Suno Ai erstellen\",\n \"link\": \"https://www.youtube.com/watch?v=B3NvostkdS0\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69f3b7a7e2f2121a40469059d8c6315ea34a5f3ed3738c3f6b.jpeg\",\n \"channel\": \"Alexandra Sackmann\",\n \"duration\": \"6:54\",\n \"platform\": \"YouTube\"\n },\n {\n \"position\": 3,\n \"title\": \"Gesang mit Künstlicher Intelligenz erstellen: Die besten KI ...\",\n \"link\": \"https://www.youtube.com/watch?v=e1y527O9ZhU\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a695657d57d8e62ea7e551068dc079eefbc7e7f9e4233c60d0b.jpeg\",\n \"channel\": \"Thomas Foster - Sound & Vision\",\n \"duration\": \"18:21\",\n \"platform\": \"YouTube\"\n },\n {\n \"position\": 4,\n \"title\": \"Was kann KI? Wir erstellen einen Song\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a6935cfd800d094f16c21b3b125400b6e0af552d353879dedc5.jpeg\",\n \"channel\": \"Medienzentrum Darmstadt-Dieburg\",\n \"duration\": \"25:10\",\n \"platform\": \"YouTube\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Intro/ Begrüßung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=0\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTzqrRANCuaTj59_XGz04KZfBJpx570RUxlo4s-vsp5XA&s\"\n },\n {\n \"time\": \"01:22\",\n \"title\": \"Vorstellung SUNO\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=82\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQrw8m9IKTE1xTVYBcUQ877VnTydkVRxKRP-Vxq-ixZow&s\"\n },\n {\n \"time\": \"02:40\",\n \"title\": \"Song Reaction\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=160\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRvP5RkzkrjOxuzs-R-EsCKka1O7j9nmKcdF2zW3U99Hg&s\"\n },\n {\n \"time\": \"06:14\",\n \"title\": \"Lied Analyse\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=374\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTJxv48nvPPeLSyZC34ACQdZ6KenIJssx3O_Q-ZfMj0pQ&s\"\n },\n {\n \"time\": \"10:20\",\n \"title\": \"Urheberrecht\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=620\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRAQW_HWjy-Pqu_SQlLrmry6yi8UsiagcVjYLeCrHKPkA&s\"\n },\n {\n \"time\": \"12:06\",\n \"title\": \"Aufnahme Teil 1\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=726\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRurE3tOMbnrspjd5GLom5CoHcbTs-tG2X72kw7slEwMw&s\"\n },\n {\n \"time\": \"14:02\",\n \"title\": \"KI und seine Folgen\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=842\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQzCZXDL1pjy4Q_cdA6h0MHZxCRI8xmOofFWo-5Jm7DnQ&s\"\n },\n {\n \"time\": \"15:10\",\n \"title\": \"GEMA Studie\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=910\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSqsrMiJMkGeVFMqkKn_Es1ULc3IrfmKMxmUEqo6rAFrQ&s\"\n },\n {\n \"time\": \"17:07\",\n \"title\": \"Aufnahme Teil 2\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1027\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR3HDEa2XI4Ljx7sv5-1_B8PwmW9IB0KvmFbAw4SrEKKA&s\"\n },\n {\n \"time\": \"18:21\",\n \"title\": \"Chancen mit KI\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1101\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQIhqbw1IPnI8-UjjQaJ82RBEirROEkhfpdlpMCQ-CFCw&s\"\n },\n {\n \"time\": \"21:04\",\n \"title\": \"Unser Fazit?\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1264\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR42si_OApAbbkuQCvZQl6xFZT7uqYSFvQ3-_251OnaLQ&s\"\n },\n {\n \"time\": \"21:59\",\n \"title\": \"Unterrichtsmethoden\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1319\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSZUYX7wFQJGlavrCL5htiwxS650EHU5HIGUC-9VN5Jng&s\"\n },\n {\n \"time\": \"22:57\",\n \"title\": \"Ergebnis der Aufnahme\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1377\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRE8J2c8v0VrCFXU9dxPpyW667eLjrrf-pmMRr1-L_-HQ&s\"\n },\n {\n \"time\": \"24:41\",\n \"title\": \"Verabschiedung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1481\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQbEON3hFJAyfYYEV25_azu4qj87SEHI5UMNmiIxyyLyA&s\"\n }\n ]\n }\n ],\n \"short_videos\": [\n {\n \"position\": 1,\n \"title\": \"Mit #KI Musik generieren? So geht's! #SunoAI #Musik ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI-Campus\",\n \"extensions\": [\n \"KI-Campus\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b7cb7f90fd8d908fa73db7f99e1ce279478449319e0a77560.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcQQqBZ51Orv3tnKnG78X7XlHOsfRHfWmfJjqg\",\n \"date\": \"15.01.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSqRvAo32urTPAGNdr8YYohMinGRRgen9mgXm4ZhUdz2lqscQ&s\",\n \"link\": \"https://www.youtube.com/watch?v=L8CoDolwfFs\"\n },\n {\n \"position\": 2,\n \"title\": \"Künstliche Intelligenz nutzen um KI Songs zu erstellen ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"eBakery\",\n \"extensions\": [\n \"eBakery\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b4ed7d10c71c81739a0fc978dc4784d4232b67271a07dca7c.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTmUXSFrM4keI1KW6fh4QmszhzXCLnW-05A2A\",\n \"date\": \"17.07.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRha1ARWmc8KMCi7iNFF0fHZXOHYrSgIS1z2B7JYQqcicMglg&s\",\n \"link\": \"https://www.youtube.com/watch?v=IRdRXZiPz8E\"\n },\n {\n \"position\": 3,\n \"title\": \"🚀 Workshop heute: KI in der Musikproduktion!\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster Musikproduktion\",\n \"extensions\": [\n \"Thomas Foster Musikproduktion\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b5549359e0e059108d26dd3f5be3fd17b4b901fffce2b8774.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRkQ6JEfjho-acq7FuSUysz4MW4SS_yh6OqKw\",\n \"date\": \"09.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSKteNPaVx9Pra4i9AD0OUnLDHl2vWwwPbHEha1yiuXpg_m1w&s\",\n \"link\": \"https://www.youtube.com/watch?v=nD2m6Z7OeOQ\"\n },\n {\n \"position\": 4,\n \"title\": \"Song mit KI erstellen: So funktioniert's! von jps_mp3 auf TikTok. Auf TikTok wiedergeben. . vor 2 Wochen\",\n \"source\": \"TikTok\",\n \"profile_name\": \"jps_mp3\",\n \"extensions\": [\n \"jps_mp3\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b94f89ef886d3721ed1fae739cfcbbeb98839c9bb3b39367f.png\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTTjM5WC3BYkuhGxXzg72rp04PNFADskLGMVw1CQ6V1utlfYQ&s\",\n \"link\": \"https://www.tiktok.com/@jps_mp3/video/7492871368460012822\"\n },\n {\n \"position\": 5,\n \"title\": \"So machst du ein Musikvideo mit KI – ohne Budget, ohne ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b0b59b46a83d39cb4d7a3304daa5b3e5da781f9e5630c0d3d.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRCbLhHJDfCefIG9AW2TUL6dUi3BXE49_bMtQ\",\n \"date\": \"16.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQKwru4cg-RzIcjSis3FVDbyhseZbA4D3AJV6X8X-hjSWdFjQ&s\",\n \"link\": \"https://www.youtube.com/watch?v=YTHdInCfaS8\"\n },\n {\n \"position\": 6,\n \"title\": \"KI-Tutorial: Eigene Songs erstellen #KI #ai ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI in 60 sec\",\n \"extensions\": [\n \"KI in 60 sec\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b675cf8d566802006756cb3be8393c855bc1da375d1a73426.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTGAMnOPgORP3RvK9BbKRTxIqek9bLh8sM4QQ\",\n \"date\": \"04.04.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSWFp5Z00z-UOmo3QHWqe3hEeCD0GcHWxoIqijlxPnJYPSAZw&s\",\n \"link\": \"https://www.youtube.com/shorts/pzfbwM8N1cc\"\n },\n {\n \"position\": 7,\n \"title\": \"✅KI Vocals erstellen für Gesang und Chöre #ki #vocals\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Meinkezz Majestik TV\",\n \"extensions\": [\n \"Meinkezz Majestik TV\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b6d2d3c44110f89acf915d8782e57fa35190f481eb06422a2.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRnMrrmY6Wv-2tXij2bK-ubq2qd6lQ1_zuRJg\",\n \"date\": \"04.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS0sNacwI21RPS3awx7ab0xuMPffLMJnL4EGH7Ji--2V46FUw&s\",\n \"link\": \"https://www.youtube.com/watch?v=AAlomD8Hk30\"\n },\n {\n \"position\": 8,\n \"title\": \"🔥 Logic Pro kann das jetzt mit KI! 🎶 Gesang, Drums & Bass ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73bddead8f67df38cca08ec4438672d02ebac7a6d99def1486f.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTdRnD3A_6K2_6peQHUNRtDZQhLYvVccXlUkg\",\n \"date\": \"24.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQnuHItrl9bUXacY6kHHibhjdspkA0r2NWqWUKmNyF9t_m-Lg&s\",\n \"link\": \"https://www.youtube.com/watch?v=cV72IBdSSNE\"\n },\n {\n \"position\": 9,\n \"title\": \"Die Zukunft der Musik: KI ersetzt Konservenmusik?\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Bernd Kiltz - Gitarrenvideos\",\n \"extensions\": [\n \"Bernd Kiltz - Gitarrenvideos\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b72e5ad34f5535ec6325baa8f1faa9bed9939bd890d6fe4ef.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcQ3GGsx3CjofurlPrCPNQfqMj-H7ad-1knriA\",\n \"date\": \"07.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS3GNslsSMrODoAMXRY5-VhdkdGT3fdq7DHx0dFqCmMXNuWKg&s\",\n \"link\": \"https://www.youtube.com/watch?v=SmT1YItEfVI\"\n }\n ],\n \"related_questions\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Es ist super einfach, KI-Musik mit AI-Music-Generator-Apps wie dem in Canva integrierten Soundraw zu erstellen. Wenn du KI-Songs produzierst, solltest du diese Tipps beachten: Wähle die richtige Stimmung, das richtige Genre, Thema und die richtige Länge für deinen Musik-Track.\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/#:~:text=Es%20ist%20super%20einfach%2C%20KI,L%C3%A4nge%20f%C3%BCr%20deinen%20Musik%2DTrack.\",\n \"displayed_link\": \"https://www.canva.com › Startseite › Video-Editor\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"date\": \"10.02.2025\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq#:~:text=Yes%2C%20AI%20can%20mix%20music,%2C%20EQ%2C%20and%20effects%20automatically.\",\n \"displayed_link\": \"https://www.aimusicpreneur.com › ai-tools-news › the-4-...\",\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97fbe81b8b1fb792a7f6e38b1d4cd18b0a4e818dcc5799a74a.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": null,\n \"title\": \"Die 9 besten kostenlosen Musikprogramme\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\",\n \"list\": [\n \"Tracktion Waveform Free. ... \",\n \"Garageband. ... \",\n \"Ohm Studio. ... \",\n \"Audacity. ... \",\n \"Pro Tools First. ... \",\n \"Cubase LE. ... \",\n \"Cakewalk by BandLab. ... \",\n \"PreSonus Studio One 5 Prime.\"\n ],\n \"displayed_link\": \"https://imusician.pro › ressourcen › blog › die-besten-ko...\",\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97fbe81b8b1fb792a71ebe2c0f889646b6dfd36a3e2fec4422.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"date\": \"15.01.2025\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/#:~:text=So%20kannst%20du%20mit%20KI%2DMusik%20Geld%20verdienen,-KI%2DMusik%20er%C3%B6ffnet&text=Erstelle%20professionell%20klingende%20Songs%20mit,oder%20Direktverk%C3%A4ufe%20Einnahmen%20zu%20erzielen.\",\n \"displayed_link\": \"https://www.gruender.de › kuenstliche-intelligenz › ki-m...\",\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97fbe81b8b1fb792a77647be1e0083b33b5c47b943ad569aea.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D\"\n }\n ],\n \"organic_results\": [\n {\n \"position\": 1,\n \"title\": \"Mit KI-Music erstellen\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.loudly.com/ki-musik-erstellen&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECAkQAQ\",\n \"displayed_link\": \"https://www.loudly.com › ki-musik-erstellen\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929e6404ec987ceeca7d468df2558b2d093.png\",\n \"date\": \"13.12.2023\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"snippet_highlighted_words\": [\n \"Nutze die KI von Loudly, für deine Musikerstellung\"\n ],\n \"source\": \"Loudly\"\n },\n {\n \"position\": 2,\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://mind-force.de/marketing/ki-song-generatoren/&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECBwQAQ\",\n \"displayed_link\": \"https://mind-force.de › Marketing\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929ef4443cc2de96a5459654a36db3cc66e.png\",\n \"date\": \"21.03.2025\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"snippet_highlighted_words\": [\n \"KI-Song-Generatoren können selbstständig Musik generieren\"\n ],\n \"source\": \"mind-force.de\"\n },\n {\n \"position\": 3,\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.canva.com/de_de/funktionen/ai-music-generator/&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECB8QAQ\",\n \"displayed_link\": \"https://www.canva.com › Startseite › Video-Editor\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b92991fad948e884bc4fe6074b761b59344d.png\",\n \"snippet\": \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva. Erstelle ganz einfach Songs, auch ohne komponieren zu können.\",\n \"snippet_highlighted_words\": [\n \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva\"\n ],\n \"source\": \"Canva\"\n },\n {\n \"position\": 4,\n \"title\": \"Suno – KI-Musik – Apps bei Google Play\",\n \"link\": \"https://play.google.com/store/apps/details?id=com.suno.android&hl=de\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://play.google.com/store/apps/details%3Fid%3Dcom.suno.android%26hl%3Dde&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDkQAQ\",\n \"displayed_link\": \"https://play.google.com › store › apps › details\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929ae9db98e274cc028eabba3c542cebe8d.png\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. ... Starte mit 10 kostenlosen Songs (50 Gratis- ...\",\n \"snippet_highlighted_words\": [\n \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren\"\n ],\n \"rich_snippet\": {\n \"top\": {\n \"detected_extensions\": {\n \"rating\": 4.8,\n \"reviews\": 308499\n },\n \"extensions\": [\n \"4,8(308.499)\",\n \"Kostenlos\",\n \"Android\",\n \"Unterhaltung Rezensionen werden von der Google Suche nicht überprüft\"\n ]\n }\n },\n \"source\": \"Google Play\"\n },\n {\n \"position\": 5,\n \"title\": \"KI Musik erstellen: Musik mit KI generieren\",\n \"link\": \"https://makebestmusic.com/de/app/create-music-new\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://makebestmusic.com/de/app/create-music-new&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDYQAQ\",\n \"displayed_link\": \"https://makebestmusic.com › app › create-music-new\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929ff82dc05659cc1daf0a8ae091d7ac181.png\",\n \"snippet\": \"Verwenden Sie den KI-Musikgenerator, um mit einem Klick hochwertige instrumentale Musik oder Popmusik zu erzeugen.\",\n \"snippet_highlighted_words\": [\n \"Verwenden Sie den KI-Musikgenerator\"\n ],\n \"source\": \"MakeBestMusic\"\n },\n {\n \"position\": 6,\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos ...\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://aisonggenerator.io/de&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECD0QAQ\",\n \"displayed_link\": \"https://aisonggenerator.io › ...\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b92900ab442288aa38610aaae4b08ad8ac43.png\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"snippet_highlighted_words\": [\n \"KI Musik - Song Generator\"\n ],\n \"source\": \"AI Song Generator\"\n },\n {\n \"position\": 7,\n \"title\": \"Suno- KI-Musik im App Store\",\n \"link\": \"https://apps.apple.com/de/app/suno-ki-musik/id6480136315\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://apps.apple.com/de/app/suno-ki-musik/id6480136315&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDgQAQ\",\n \"displayed_link\": \"https://apps.apple.com › app › suno-ki-musik\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b9291ff4e8bd0c8c3262c88d24d698513826.png\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. Entdecke folgende Funktionen: • Erstelle Songs ...\",\n \"snippet_highlighted_words\": [\n \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren\"\n ],\n \"rich_snippet\": {\n \"top\": {\n \"detected_extensions\": {\n \"rating\": 4.9,\n \"reviews\": 10118\n },\n \"extensions\": [\n \"4,9(10.118)\",\n \"Kostenlos\",\n \"iOS Rezensionen werden von der Google Suche nicht überprüft\"\n ]\n }\n },\n \"source\": \"Apple\"\n },\n {\n \"position\": 8,\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDcQAQ\",\n \"displayed_link\": \"https://www.zdf.de › Startseite › Wissen\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929f532ff36f174df6090e8e4ecd104707e.png\",\n \"date\": \"29.03.2024\",\n \"snippet\": \"Die KI kann heute einen kompletten Song erstellen, der sich anhört, als hätte jemand ihn geschrieben, der Musik studiert hat und seit 20 Jahren ...\",\n \"snippet_highlighted_words\": [\n \"Die KI kann heute einen kompletten Song erstellen\"\n ],\n \"source\": \"ZDF\"\n }\n ],\n \"top_stories_link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&udm=7&q=mit+ki+musik+erstellen&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8ccDKAJ6BAgaEAQ\",\n \"top_stories_serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen\",\n \"related_searches\": [\n {\n \"block_position\": 1,\n \"items\": [\n {\n \"name\": \"Suno AI\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a83e7399137caa44257626c75465a730e5.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREAk\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA\"\n },\n {\n \"name\": \"Udio\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a8a72ef82bca9f334c7220e9483e8c989c.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREA4\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA\"\n },\n {\n \"name\": \"ChatGPT\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a8200abd98b34297d88f2816e39110dfd5.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREBM\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA\"\n },\n {\n \"name\": \"AIVA\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a81ff6bfe06374623c24e2e1446e408b93.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREBg\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA\"\n },\n {\n \"name\": \"Riffusion\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a86cc20f3312d5a81ba352a942566488a7.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREB0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA\"\n },\n {\n \"name\": \"Claude\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a850ca45b896705ff2ac665074cf6bf331.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhRECI\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA\"\n }\n ]\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhaEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen kostenlos deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+deutsch&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhbEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+deutsch\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos App\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+App&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhXEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+App\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen mit text\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+mit+text&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhWEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+mit+text\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos Suno\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+Suno&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhYEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+Suno\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song generator mit text kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+generator+mit+text+kostenlos&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhUEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+generator+mit+text+kostenlos\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song Generator Deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+Generator+Deutsch&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhTEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+Generator+Deutsch\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen kostenlos ohne anmeldung\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+ohne+anmeldung&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhZEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+ohne+anmeldung\"\n }\n ],\n \"pagination\": {\n \"current\": 1,\n \"next\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=10&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8NMDegQIMxAW\",\n \"other_pages\": {\n \"2\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=10&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAE\",\n \"3\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=20&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAG\",\n \"4\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=30&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAI\",\n \"5\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=40&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAK\",\n \"6\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=50&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAM\",\n \"7\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=60&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAO\",\n \"8\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=70&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAQ\",\n \"9\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=80&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAS\",\n \"10\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=90&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAU\"\n }\n },\n \"serpapi_pagination\": {\n \"current\": 1,\n \"next_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"next\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"other_pages\": {\n \"2\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"3\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=20\",\n \"4\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=30\",\n \"5\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=40\",\n \"6\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=50\",\n \"7\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=60\",\n \"8\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=70\",\n \"9\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=80\",\n \"10\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=90\"\n }\n }\n }\n }\n ],\n \"get_mobile_serp_results\": [\n {\n \"json\": {\n \"search_metadata\": {\n \"id\": \"68112b3535d3b44e49b5dfb5\",\n \"status\": \"Success\",\n \"json_endpoint\": \"https://serpapi.com/searches/0a410b13821bc461/68112b3535d3b44e49b5dfb5.json\",\n \"created_at\": \"2025-04-29 19:40:37 UTC\",\n \"processed_at\": \"2025-04-29 19:40:37 UTC\",\n \"google_url\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&sourceid=chrome-mobile&ie=UTF-8\",\n \"raw_html_file\": \"https://serpapi.com/searches/0a410b13821bc461/68112b3535d3b44e49b5dfb5.html\",\n \"total_time_taken\": 1.58\n },\n \"search_parameters\": {\n \"engine\": \"google\",\n \"q\": \"mit ki musik erstellen\",\n \"google_domain\": \"google.com\",\n \"gl\": \"de\",\n \"device\": \"mobile\"\n },\n \"search_information\": {\n \"query_displayed\": \"mit ki musik erstellen\"\n },\n \"knowledge_graph\": {\n \"entity_type\": \"webanswers\"\n },\n \"inline_videos\": [\n {\n \"position\": 1,\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"thumbnail\": \"https://i.ytimg.com/vi/F5-NRSn1RAE/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3lPzIZBBijJEG62_301Ov-UxlVN4Q\",\n \"duration\": \"6:48\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Vorstellung der Plattform Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=0\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSOtt9h0kV3S13IH9XMCmrEuz-6Z35oTxij004QWQAU-Q&s\"\n },\n {\n \"time\": \"01:13\",\n \"title\": \"Eigenen Song erstellen in Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=73\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcShrlWOFXQKCAOs28IlRiF4okkG0Wj3Cek33dQ1U5CvsQ&s\"\n },\n {\n \"time\": \"03:10\",\n \"title\": \"Eigener Jingle anhören Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=190\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSslChcstGssqA3zaPmea51jW3sogdSEJfivE4bqc5h1g&s\"\n },\n {\n \"time\": \"04:15\",\n \"title\": \"Einstellungen Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=255\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ86E1bBQ4_Ezw_vgjksGF2R-ZOCg9v9gBbQ5YAfzbG3w&s\"\n }\n ]\n },\n {\n \"position\": 2,\n \"title\": \"KI Musik erstellen - Wahnsinnig gute Musik mit Suno Ai erstellen\",\n \"link\": \"https://www.youtube.com/watch?v=B3NvostkdS0\",\n \"thumbnail\": \"https://i.ytimg.com/vi/B3NvostkdS0/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3kwU_sPn1LGDLh-FepEix1k125HEw\",\n \"duration\": \"6:54\"\n },\n {\n \"position\": 3,\n \"title\": \"Was kann KI? Wir erstellen einen Song\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s\",\n \"thumbnail\": \"https://i.ytimg.com/vi/q8sUZdgOM4s/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3npmda-u2anO86wI4Ln9F2VxH3csw\",\n \"duration\": \"25:10\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Intro/ Begrüßung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=0\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQY37YF5aEgbghx9EyjbBR01nct-5B8bb-1Nehe0gjigw&s\"\n },\n {\n \"time\": \"01:22\",\n \"title\": \"Vorstellung SUNO\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=82\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTJmX1Kqpgs6F8vfY2e0xex5kgObVebpmiPqzoYd3sE1Q&s\"\n },\n {\n \"time\": \"02:40\",\n \"title\": \"Song Reaction\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=160\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSFwsw81w7JFr8S6_Oljbh18Zud5RQCstmz1ZpFmv7dng&s\"\n },\n {\n \"time\": \"06:14\",\n \"title\": \"Lied Analyse\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=374\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQnNw0lyvcOZq8q_2MXX3cdKfFA_FqJdf4dCr4bjHb_Qg&s\"\n },\n {\n \"time\": \"10:20\",\n \"title\": \"Urheberrecht\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=620\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTf7E0F9yd1dzo7dpkG-yTyeeHv-jp4s_auNl-3m5wFPA&s\"\n },\n {\n \"time\": \"12:06\",\n \"title\": \"Aufnahme Teil 1\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=726\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTbIvcmFQl2Y30NqbGrjl88NogMdny0z7Mr3WJc2WUn0g&s\"\n },\n {\n \"time\": \"14:02\",\n \"title\": \"KI und seine Folgen\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=842\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvDWAQ7IStFf9AV4wZPvKwpPnGI0CNoLg75FLNvSqmaw&s\"\n },\n {\n \"time\": \"15:10\",\n \"title\": \"GEMA Studie\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=910\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQHgSO2sK6N6BBFkMxAxdp8_FOw9ZKJbfznZphSDZyApw&s\"\n },\n {\n \"time\": \"17:07\",\n \"title\": \"Aufnahme Teil 2\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1027\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ9LUFFdBErrs1yqwAi2jTa8pMbA1I-1srxpKmr4JNiag&s\"\n },\n {\n \"time\": \"18:21\",\n \"title\": \"Chancen mit KI\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1101\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRiHzyZeYr3lpfPm1SVlaiwXHmBgVsEUxpmvOq_UkYhKQ&s\"\n },\n {\n \"time\": \"21:04\",\n \"title\": \"Unser Fazit?\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1264\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRNN74p6ZyvCjzNncT6cz6ot8L_ZgsnBCIE2Z7o93F0ew&s\"\n },\n {\n \"time\": \"21:59\",\n \"title\": \"Unterrichtsmethoden\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1319\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTAwXDPVMQxmmztK_5Z90vqz265nhMApJu3hJod0SY4TA&s\"\n },\n {\n \"time\": \"22:57\",\n \"title\": \"Ergebnis der Aufnahme\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1377\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAOPHpEoqqWgmozMhLTslT1n47aP74paXIknWLF9uHEg&s\"\n },\n {\n \"time\": \"24:41\",\n \"title\": \"Verabschiedung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1481\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ2vn5g-_6YX9cLXVhumDnG-gNv6JCg7KRSOzoKUnrigQ&s\"\n }\n ]\n },\n {\n \"position\": 4,\n \"title\": \"Gesang mit Künstlicher Intelligenz erstellen: Die besten KI Tools für AI ...\",\n \"link\": \"https://www.youtube.com/watch?v=e1y527O9ZhU\",\n \"thumbnail\": \"https://i.ytimg.com/vi/e1y527O9ZhU/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3mvN2vf9ppFtTJahgo1rNMSgc46Bw\",\n \"duration\": \"18:21\"\n }\n ],\n \"short_videos\": [\n {\n \"position\": 1,\n \"title\": \"Mit #KI Musik generieren? So geht's! #SunoAI #Musik #Papaplatte ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI-Campus\",\n \"extensions\": [\n \"KI-Campus\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c042d5c54b197ee76a0437ebdd9f308a75d6a3db2923347ead2f.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcQQqBZ51Orv3tnKnG78X7XlHOsfRHfWmfJjqg\",\n \"date\": \"15.01.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSYVCl6eJXzlqmhMu86snFaJ9_j3DkRJR3YpMFf9hErv7Rt8Q&s\",\n \"link\": \"https://www.youtube.com/watch?v=L8CoDolwfFs\"\n },\n {\n \"position\": 2,\n \"title\": \"Künstliche Intelligenz nutzen um KI Songs zu erstellen #aimusic #ai\",\n \"source\": \"YouTube\",\n \"profile_name\": \"eBakery\",\n \"extensions\": [\n \"eBakery\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c04232901e9b6a544e0ffd46c89017456db0b6a2d52dc86f8933.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTmUXSFrM4keI1KW6fh4QmszhzXCLnW-05A2A\",\n \"date\": \"17.07.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTIGfLTHnrD_XOG80YIZs3AVYsA69Grn8miZNn-LTQG5ExH0A&s\",\n \"link\": \"https://www.youtube.com/watch?v=IRdRXZiPz8E\"\n },\n {\n \"position\": 3,\n \"title\": \"🚀 Workshop heute: KI in der Musikproduktion!\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster Musikproduktion\",\n \"extensions\": [\n \"Thomas Foster Musikproduktion\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c0425adaa4226fbf81788017c1d7b76320728c2fb9e57c023850.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRkQ6JEfjho-acq7FuSUysz4MW4SS_yh6OqKw\",\n \"date\": \"09.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRL0YjrSm9meX4xXSdookCUVUQI7BNEPXZw3e-0VejSQc6DhA&s\",\n \"link\": \"https://www.youtube.com/watch?v=nD2m6Z7OeOQ\"\n },\n {\n \"position\": 4,\n \"title\": \"Song mit KI erstellen: So funktioniert's! von jps_mp3 auf TikTok. Auf TikTok wiedergeben.\",\n \"source\": \"TikTok\",\n \"profile_name\": \"jps_mp3\",\n \"extensions\": [\n \"jps_mp3\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c042a7e981c624216e2b284ade9b6430c8f9a5b45ede9835ae55.png\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR80H46uAQe2rh1Qzc_XiFrH47QaP2EgBhVLx1fKjfqsFyEGg&s\",\n \"link\": \"https://www.tiktok.com/@jps_mp3/video/7492871368460012822\"\n },\n {\n \"position\": 5,\n \"title\": \"So machst du ein Musikvideo mit KI – ohne Budget, ohne Team, in ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRCbLhHJDfCefIG9AW2TUL6dUi3BXE49_bMtQ\",\n \"date\": \"16.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR3P4mHSSDR9FE6bdq9dt2fxFrK0kA6TpIEKFJNhHPOUFoFgQ&s\",\n \"link\": \"https://www.youtube.com/watch?v=YTHdInCfaS8\"\n },\n {\n \"position\": 6,\n \"title\": \"KI-Tutorial: Eigene Songs erstellen #KI #ai #künstlicheintelligenz\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI in 60 sec\",\n \"extensions\": [\n \"KI in 60 sec\"\n ],\n \"source_logo\": \"https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn%3AANd9GcQg1LLtOd5Hwt02ACMO_UPBo3N49NsULfJVXRD05KSNMsKENyyollYshjaFcP9mJmlxu8eM_7jl4ngyFUIc9AZwbz1XGAnF\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTGAMnOPgORP3RvK9BbKRTxIqek9bLh8sM4QQ\",\n \"date\": \"04.04.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTTsh2Ytp9OKG5qxu5pHqQga7-Y-yJQfK6ve-smf-Qg3ZtYEQ&s\",\n \"link\": \"https://m.youtube.com/shorts/pzfbwM8N1cc\"\n },\n {\n \"position\": 7,\n \"title\": \"🔥AI Music Creation: Composing Tracks in 60 Seconds! #shorts #simplilearn\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Simplilearn\",\n \"extensions\": [\n \"Simplilearn\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcSGMMF5pphquiA_6D2nqGwWVZOmRp4NMASTqw\",\n \"date\": \"21.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQtsCXlaY5bQ1VaYYtV9tZTDCmCFsFtvt4sIhu6KhLwrMegng&s\",\n \"link\": \"https://www.youtube.com/watch?v=BoTirHe1g38\"\n },\n {\n \"position\": 8,\n \"title\": \"✅KI Vocals erstellen für Gesang und Chöre #ki #vocals\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Meinkezz Majestik TV\",\n \"extensions\": [\n \"Meinkezz Majestik TV\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRnMrrmY6Wv-2tXij2bK-ubq2qd6lQ1_zuRJg\",\n \"date\": \"04.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRjmOkd7ZQduLI4c6rvFx_6B2WNTL4GOGjRIs7G8FaKiPFt2Q&s\",\n \"link\": \"https://www.youtube.com/watch?v=AAlomD8Hk30\"\n },\n {\n \"position\": 9,\n \"title\": \"🔥 Logic Pro kann das jetzt mit KI! 🎶 Gesang, Drums & Bass automatisch ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTdRnD3A_6K2_6peQHUNRtDZQhLYvVccXlUkg\",\n \"date\": \"24.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRk1-X8Nt_xvpuXBcC1u8-cpJm_aqGTdCysiNz4PTKsK1Z-Mw&s\",\n \"link\": \"https://www.youtube.com/watch?v=cV72IBdSSNE\"\n }\n ],\n \"related_questions\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Die KI für Musik ist ideal für Künstler, die etwas außergewöhnliches suchen. Ob du Content Creator, Filmemacher, DJ, Musikproduzent oder einfach jemand bist, der einen beeindruckenden Song mit KI-Musik erstellen möchte, eine KI für Musik ist dein bester Verbündeter.\",\n \"title\": \"MIT KI-Musik erstellen - Loudly\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen#:~:text=Die%20KI%20f%C3%BCr%20Musik%20ist,Musik%20ist%20dein%20bester%20Verb%C3%BCndeter.\",\n \"displayed_link\": \"https://www.loudly.com\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaa0ca06fa3948f827d30baaa44fc28cb48.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"date\": \"10.02.2025\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq#:~:text=Yes%2C%20AI%20can%20mix%20music,%2C%20EQ%2C%20and%20effects%20automatically.\",\n \"displayed_link\": \"https://www.aimusicpreneur.com\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaaceab37e245ba40ec316d5be48aacf927.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": null,\n \"title\": \"Die 9 besten kostenlosen Musikprogramme\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\",\n \"list\": [\n \"Tracktion Waveform Free. ... \",\n \"Garageband. ... \",\n \"Ohm Studio. ... \",\n \"Audacity. ... \",\n \"Pro Tools First. ... \",\n \"Cubase LE. ... \",\n \"Cakewalk by BandLab. ... \",\n \"PreSonus Studio One 5 Prime.\"\n ],\n \"displayed_link\": \"https://imusician.pro\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaaee119d586cff9a1c3656d70151d97c29.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"date\": \"15.01.2025\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/#:~:text=So%20kannst%20du%20mit%20KI%2DMusik%20Geld%20verdienen,-KI%2DMusik%20er%C3%B6ffnet&text=Erstelle%20professionell%20klingende%20Songs%20mit,oder%20Direktverk%C3%A4ufe%20Einnahmen%20zu%20erzielen.\",\n \"displayed_link\": \"https://www.gruender.de\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaa6bf3ba6d90400e8f4c72961edacaf1da.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n }\n ],\n \"answer_box\": {\n \"type\": \"organic_result\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"displayed_link\": \"https://www.canva.com\",\n \"snippet\": \"So verwendest du den AI Music Generator von Canva\",\n \"snippet_highlighted_words\": [\n \"So verwendest du den AI Music Generator von Canva\",\n \"Music\"\n ],\n \"list\": [\n \"Starte Canva. Öffne Canva im Web-Browser oder in der App. ... \",\n \"Greife auf den AI Music Generator zu. ... \",\n \"Erstelle die KI-Song-Liste. ... \",\n \"Passe deinen KI-Song an. ... \",\n \"Lade deinen Soundtrack herunter oder teile ihn online.\"\n ],\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/638a394bd2ed039b005e884786b84f8fd8cabeb1db3397b3.png\"\n },\n \"organic_results\": [\n {\n \"position\": 1,\n \"title\": \"Mit KI-Music erstellen\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.loudly.com/ki-musik-erstellen&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECFAQAQ&usg=AOvVaw3DjUV-NhCFfXNG-U3Q29gO\",\n \"displayed_link\": \"https://www.loudly.com\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d059cd62add3d7109e3297e7f88c1189ddb.png\",\n \"date\": \"13.12.2023\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"source\": \"Loudly\"\n },\n {\n \"position\": 2,\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://mind-force.de/marketing/ki-song-generatoren/&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEQQAQ&usg=AOvVaw09SoxAUB-lRXMB8uZbQOhY\",\n \"displayed_link\": \"https://mind-force.de\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d05df34c2e7aff158bc0a9618d8f7379435.png\",\n \"date\": \"21.03.2025\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"source\": \"mind-force.de\"\n },\n {\n \"position\": 3,\n \"title\": \"KI Musik erstellen: Musik mit KI generieren\",\n \"link\": \"https://makebestmusic.com/de/app/create-music-new\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://makebestmusic.com/de/app/create-music-new&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEUQAQ&usg=AOvVaw1rNRCO1UOGdYLbnPk7Ldg1\",\n \"displayed_link\": \"https://makebestmusic.com\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d05b5e325ffbf73286af336eb50fec34ece.png\",\n \"snippet\": \"Verwenden Sie den KI-Musikgenerator, um mit einem Klick hochwertige instrumentale Musik oder Popmusik zu erzeugen.\",\n \"source\": \"MakeBestMusic\"\n },\n {\n \"position\": 4,\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos, Leistungsstark)\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://aisonggenerator.io/de&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEIQAQ&usg=AOvVaw1ZNOQOUoTNP7NCdRI2KKXq\",\n \"displayed_link\": \"https://aisonggenerator.io\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d0506f67e733fa6d9ef25b22635040e77f0.png\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"source\": \"AI Song Generator\"\n },\n {\n \"position\": 5,\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick - ZDFheute\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEMQAQ&usg=AOvVaw22l3LP-eVW1owswKoxuGi8\",\n \"displayed_link\": \"https://www.zdf.de\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d0539a3d1a562944c524fc0757e09304e49.png\",\n \"date\": \"29.03.2024\",\n \"snippet\": \"KI-Modelle wie Suno AI können laut Foster die Arbeit von Musikproduzenten nicht ersetzen, aber Inspiration liefern oder beim Komponieren helfen.\",\n \"source\": \"ZDF\"\n },\n {\n \"position\": 6,\n \"title\": \"Die 10 besten KI-Musikgeneratoren (April 2025)\",\n \"link\": \"https://www.unite.ai/de/best-ai-music-generators/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.unite.ai/de/best-ai-music-generators/&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEYQAQ&usg=AOvVaw1fR4fuCWcsbfFUnu4ID1SD\",\n \"displayed_link\": \"https://www.unite.ai\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d05db1355d778f785cde1bd73957f1f1b1c.png\",\n \"date\": \"13.04.2025\",\n \"snippet\": \"FlexClip AI Music Generator bietet eine nahtlose Möglichkeit, KI-generierte Songs zu erstellen, ohne dass musikalisches Fachwissen erforderlich ...\",\n \"source\": \"Unite.AI\"\n }\n ],\n \"filters\": [\n {\n \"name\": \"App\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RR9k1vcX8nQENlB_ST8PB-eemXJFQOc2B-8lxILBOt0CrsZKvmsqOqIIYW6nxS-R8Eq9QC-q36-z0Y5UVLVeitQGF4eJU3nvCKB17Z8E9yQJRQnWZuw3Ol79ZslGwKa5tBee2oTdjdUSnFQIzBz8VB4ghwPngk_l5BICqSlX25py_uEzf7-K_AuMB4jhFIGM824lAK6w\",\n \"q\": \"Ki app musik erstellen\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Ki+app+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR9k1vcX8nQENlB_ST8PB-eemXJFQOc2B-8lxILBOt0CrsZKvmsqOqIIYW6nxS-R8Eq9QC-q36-z0Y5UVLVeitQGF4eJU3nvCKB17Z8E9yQJRQnWZuw3Ol79ZslGwKa5tBee2oTdjdUSnFQIzBz8VB4ghwPngk_l5BICqSlX25py_uEzf7-K_AuMB4jhFIGM824lAK6w&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIDRAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Ki+app+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR9k1vcX8nQENlB_ST8PB-eemXJFQOc2B-8lxILBOt0CrsZKvmsqOqIIYW6nxS-R8Eq9QC-q36-z0Y5UVLVeitQGF4eJU3nvCKB17Z8E9yQJRQnWZuw3Ol79ZslGwKa5tBee2oTdjdUSnFQIzBz8VB4ghwPngk_l5BICqSlX25py_uEzf7-K_AuMB4jhFIGM824lAK6w\"\n },\n {\n \"name\": \"Gesang\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RR-U7ulYFJvOEfk2azzLH_P01AIxlAciLtCRlwB6YtbHg1IvCfWIRH6N22dX_VLPd05SAMrV2VXOH7kSIlRcmLhaI4mrZODiciVOcWWWUTw17w7HYmnVfrf-W8MjGxe6G0inZoclwyAa0Tha9JUFR93HMlZoX3RhhyuiwdRru65TrKZOYxLKAxGeSyn6VHhbS8gzVBJA\",\n \"q\": \"ki musik erstellen mit gesang\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki+musik+erstellen+mit+gesang&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR-U7ulYFJvOEfk2azzLH_P01AIxlAciLtCRlwB6YtbHg1IvCfWIRH6N22dX_VLPd05SAMrV2VXOH7kSIlRcmLhaI4mrZODiciVOcWWWUTw17w7HYmnVfrf-W8MjGxe6G0inZoclwyAa0Tha9JUFR93HMlZoX3RhhyuiwdRru65TrKZOYxLKAxGeSyn6VHhbS8gzVBJA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIEBAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki+musik+erstellen+mit+gesang&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR-U7ulYFJvOEfk2azzLH_P01AIxlAciLtCRlwB6YtbHg1IvCfWIRH6N22dX_VLPd05SAMrV2VXOH7kSIlRcmLhaI4mrZODiciVOcWWWUTw17w7HYmnVfrf-W8MjGxe6G0inZoclwyAa0Tha9JUFR93HMlZoX3RhhyuiwdRru65TrKZOYxLKAxGeSyn6VHhbS8gzVBJA\"\n },\n {\n \"name\": \"Suno\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RR0XZ2aQnFevpyaU-zqppoerHdLKPpUXCkdfjqILKIs1g2Vv8ZuOUdVNrMYZ98IJzWv5LhnQY-eiuCWn-xUFOca8HJYHS8Esode4G95ZtcA2DBHhgwxsjR29T8PMK3UfDHsco3MYZ9b-_YfGKwTy9jE800Irftq3WV0ZK7_2I3OwObwdEb3m0wul2wGQjsiAS_DU54BQ\",\n \"q\": \"Ki musik erstellen Suno\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Ki+musik+erstellen+Suno&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR0XZ2aQnFevpyaU-zqppoerHdLKPpUXCkdfjqILKIs1g2Vv8ZuOUdVNrMYZ98IJzWv5LhnQY-eiuCWn-xUFOca8HJYHS8Esode4G95ZtcA2DBHhgwxsjR29T8PMK3UfDHsco3MYZ9b-_YfGKwTy9jE800Irftq3WV0ZK7_2I3OwObwdEb3m0wul2wGQjsiAS_DU54BQ&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIDxAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Ki+musik+erstellen+Suno&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR0XZ2aQnFevpyaU-zqppoerHdLKPpUXCkdfjqILKIs1g2Vv8ZuOUdVNrMYZ98IJzWv5LhnQY-eiuCWn-xUFOca8HJYHS8Esode4G95ZtcA2DBHhgwxsjR29T8PMK3UfDHsco3MYZ9b-_YfGKwTy9jE800Irftq3WV0ZK7_2I3OwObwdEb3m0wul2wGQjsiAS_DU54BQ\"\n },\n {\n \"name\": \"Text\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RRE0hdwbQg6OOqzlkhQXnwA6s1NZpoJ1nwGbV4st_E26AvY4mK5--R_kimwtkn2F4d6Up-3atsDmDZcSyqE38dIonQHsYsWIQpTeSd20Xsu-EMplhrdO1NgDMK6G872A4njzXwzojtd792qHGxgcNAowjB96JaN6vIhX0ifVrigGANnlmykeN5zj8FZ9EC_ASF5T6_bpeiN3mfXSvN5Fa097L1uaE\",\n \"q\": \"KI-Musik erstellen mit Text\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI-Musik+erstellen+mit+Text&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRE0hdwbQg6OOqzlkhQXnwA6s1NZpoJ1nwGbV4st_E26AvY4mK5--R_kimwtkn2F4d6Up-3atsDmDZcSyqE38dIonQHsYsWIQpTeSd20Xsu-EMplhrdO1NgDMK6G872A4njzXwzojtd792qHGxgcNAowjB96JaN6vIhX0ifVrigGANnlmykeN5zj8FZ9EC_ASF5T6_bpeiN3mfXSvN5Fa097L1uaE&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIEhAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI-Musik+erstellen+mit+Text&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRE0hdwbQg6OOqzlkhQXnwA6s1NZpoJ1nwGbV4st_E26AvY4mK5--R_kimwtkn2F4d6Up-3atsDmDZcSyqE38dIonQHsYsWIQpTeSd20Xsu-EMplhrdO1NgDMK6G872A4njzXwzojtd792qHGxgcNAowjB96JaN6vIhX0ifVrigGANnlmykeN5zj8FZ9EC_ASF5T6_bpeiN3mfXSvN5Fa097L1uaE\"\n },\n {\n \"name\": \"Anmeldung\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RRA1uYqulNJXOLRk3AYweT-c0OuPWLg_1uqABgOJmwl3koR_VFsO77mSy6uJfkEoscBU4YgILBJaS0_Acd1sUtzrMTeEx1t5LgJ8gSbTtPV_O25gAnS1Wo8LdtNJdH-dBePRk0bnlAYmqy2UTxKVoqqEWrrluVGZgsdE1WPoUmfVNYaNeimVGOFQ-rxiofAxUShesa2kapsDINonxRS-Bvu22o9HU\",\n \"q\": \"ki musik erstellen ohne anmeldung\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki+musik+erstellen+ohne+anmeldung&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRA1uYqulNJXOLRk3AYweT-c0OuPWLg_1uqABgOJmwl3koR_VFsO77mSy6uJfkEoscBU4YgILBJaS0_Acd1sUtzrMTeEx1t5LgJ8gSbTtPV_O25gAnS1Wo8LdtNJdH-dBePRk0bnlAYmqy2UTxKVoqqEWrrluVGZgsdE1WPoUmfVNYaNeimVGOFQ-rxiofAxUShesa2kapsDINonxRS-Bvu22o9HU&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIERAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki+musik+erstellen+ohne+anmeldung&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRA1uYqulNJXOLRk3AYweT-c0OuPWLg_1uqABgOJmwl3koR_VFsO77mSy6uJfkEoscBU4YgILBJaS0_Acd1sUtzrMTeEx1t5LgJ8gSbTtPV_O25gAnS1Wo8LdtNJdH-dBePRk0bnlAYmqy2UTxKVoqqEWrrluVGZgsdE1WPoUmfVNYaNeimVGOFQ-rxiofAxUShesa2kapsDINonxRS-Bvu22o9HU\"\n },\n {\n \"name\": \"Canva\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RRQBNMTCiWiJVtIo1dBFbGz5nQtBLTLEqU9sRTFZVKZcUreuEbaisQboV2JIdC1H01ltUNXjePbTxrvaQQ7ROa9SauoePZ0ex9U2VS2CJQO8xBB4qwrNUK0CceSOaOp415O9eArh7OLGnnEhLHuxt5JsrgdxNoPO2_i6OcrmjYur52SOeVFPWru5SYIBKEeWRdMr2fRw\",\n \"q\": \"canva ki musik erstellen\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=canva+ki+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRQBNMTCiWiJVtIo1dBFbGz5nQtBLTLEqU9sRTFZVKZcUreuEbaisQboV2JIdC1H01ltUNXjePbTxrvaQQ7ROa9SauoePZ0ex9U2VS2CJQO8xBB4qwrNUK0CceSOaOp415O9eArh7OLGnnEhLHuxt5JsrgdxNoPO2_i6OcrmjYur52SOeVFPWru5SYIBKEeWRdMr2fRw&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIFBAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=canva+ki+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRQBNMTCiWiJVtIo1dBFbGz5nQtBLTLEqU9sRTFZVKZcUreuEbaisQboV2JIdC1H01ltUNXjePbTxrvaQQ7ROa9SauoePZ0ex9U2VS2CJQO8xBB4qwrNUK0CceSOaOp415O9eArh7OLGnnEhLHuxt5JsrgdxNoPO2_i6OcrmjYur52SOeVFPWru5SYIBKEeWRdMr2fRw\"\n }\n ],\n \"top_stories_link\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&udm=39&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q3egMegQIOxAO\",\n \"top_stories_serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen\",\n \"related_searches\": [\n {\n \"block_position\": 1,\n \"items\": [\n {\n \"name\": \"Suno AI\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a891470018884d03192a2b31e6ae658955663a.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAJ\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA\"\n },\n {\n \"name\": \"Udio\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a89147ff721c8fcdbad0b06cd983b6136020b7.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAO\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA\"\n },\n {\n \"name\": \"ChatGPT\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a89147c23d58f0708529de373e4f6c91fd908a.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAT\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA\"\n },\n {\n \"name\": \"AIVA\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a8914719bc8b4df3fa1462e52f02616d9485fe.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAY\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA\"\n },\n {\n \"name\": \"Riffusion\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a89147113691339320bfe6f1209fb6a129c2c2.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAd\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA\"\n },\n {\n \"name\": \"Claude\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a891474df0c5a03e2c10f9b7c9d6125398b9e4.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAi\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA\"\n },\n {\n \"name\": \"Google Gemini\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a8914703407a8aa67df2c1bbab136584ebb87f.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Google+Gemini&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwpNrEsMDBM_8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpAbqhlcsPFxc-rn6BhmWJpXGSFpKklMsytLzLBEiecm5eXkZyZWLWHnd8_PTc1IV3FNzM_Myb7FJMoT5hX9OnHGY7d2-qrTiBEUuzVnRjw7cs1q3iEPCMS8ltShVobg0OaMkNU8hEUgr5CUmZ6zgYAQAw0AdTRIBAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAn\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Google+Gemini&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwpNrEsMDBM_8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpAbqhlcsPFxc-rn6BhmWJpXGSFpKklMsytLzLBEiecm5eXkZyZWLWHnd8_PTc1IV3FNzM_Myb7FJMoT5hX9OnHGY7d2-qrTiBEUuzVnRjw7cs1q3iEPCMS8ltShVobg0OaMkNU8hEUgr5CUmZ6zgYAQAw0AdTRIBAAA\"\n },\n {\n \"name\": \"Mobile App\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a891474a7680a5ca5110e1d590d0bba9856941.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Mobile+App&stick=H4sIAAAAAAAAAOMwVOLSz9U3yLA0qTQ2-8XIsIGF4RULPxevfrq-oWFxWXqxRVpGCkKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4kJyEpSE6xKEvPs0SI5CXn5uVlJFcuYuXyzU_KzElVcCwouMUmyRDmF_45ccZhtnf7qtKKExS5NGdFPzpwz2rdIg4Jx7yU1KJUheLS5IyS1DyFRCCtkJeYnLGCgxEAhfR9CwwBAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAs\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Mobile+App&stick=H4sIAAAAAAAAAOMwVOLSz9U3yLA0qTQ2-8XIsIGF4RULPxevfrq-oWFxWXqxRVpGCkKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4kJyEpSE6xKEvPs0SI5CXn5uVlJFcuYuXyzU_KzElVcCwouMUmyRDmF_45ccZhtnf7qtKKExS5NGdFPzpwz2rdIg4Jx7yU1KJUheLS5IyS1DyFRCCtkJeYnLGCgxEAhfR9CwwBAAA\"\n }\n ]\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiJARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen kostenlos deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+deutsch&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiIARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+deutsch\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos App\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+App&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiHARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+App\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen mit text\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+mit+text&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiGARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+mit+text\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos Suno\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+Suno&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiKARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+Suno\"\n },\n {\n \"block_position\": 2,\n \"query\": \"ki-song generator mit text kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+generator+mit+text+kostenlos&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiAARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+generator+mit+text+kostenlos\"\n },\n {\n \"block_position\": 2,\n \"query\": \"KI Song Generator Deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+Generator+Deutsch&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiBARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+Generator+Deutsch\"\n },\n {\n \"block_position\": 2,\n \"query\": \"ki-song erstellen kostenlos ohne anmeldung\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+ohne+anmeldung&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh_EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+ohne+anmeldung\"\n },\n {\n \"block_position\": 2,\n \"query\": \"Musik KI kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Musik+KI+kostenlos&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh-EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Musik+KI+kostenlos\"\n },\n {\n \"block_position\": 2,\n \"query\": \"KI Lieder erstellen Suno\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Lieder+erstellen+Suno&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh8EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Lieder+erstellen+Suno\"\n },\n {\n \"block_position\": 2,\n \"query\": \"Suno Song erstellen\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Suno+Song+erstellen&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh6EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Suno+Song+erstellen\"\n }\n ],\n \"pagination\": {\n \"current\": 1,\n \"next\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=10&sourceid=chrome-mobile&ie=UTF-8\",\n \"other_pages\": {\n \"2\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=10&sourceid=chrome-mobile&ie=UTF-8\",\n \"3\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=20&sourceid=chrome-mobile&ie=UTF-8\",\n \"4\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=30&sourceid=chrome-mobile&ie=UTF-8\",\n \"5\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=40&sourceid=chrome-mobile&ie=UTF-8\"\n }\n },\n \"serpapi_pagination\": {\n \"current\": 1,\n \"next_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"next\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"other_pages\": {\n \"2\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"3\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=20\",\n \"4\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=30\",\n \"5\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=40\"\n }\n }\n }\n }\n ]\n },\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_serp_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faqs_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_serp_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faqs_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_faqs\": {\n \"main\": [\n []\n ]\n },\n \"get_faqs_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_serp_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_serp_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faqs_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"merge_faq1\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions1\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_status\": {\n \"main\": [\n [\n {\n \"node\": \"check_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"sleep\": {\n \"main\": [\n [\n {\n \"node\": \"get_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_status\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches\": {\n \"main\": [\n [\n {\n \"node\": \"get_names\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_names\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"4a18c727-9d7c-48bb-a6d0-dfec50c6d9e4\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"YnqGjhW0HTJq0eBY\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Product - SERP Analysis (SerpAPI + Crawl4AI)", "node_count": 38, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 39\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product - SERP Analysis (Serper & Crawl4AI)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -1340,\n 1080\n ],\n \"id\": \"d841d3e0-650d-49e7-abba-d5f4186d2312\",\n \"name\": \"On form submission\",\n \"webhookId\": \"d361eaea-6612-4e11-8f2b-45bdaf5326d6\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n },\n {\n \"name\": \"exclude\",\n \"value\": \"[\\\"video\\\", \\\"image\\\", \\\"news\\\", \\\"places\\\"]\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 980\n ],\n \"id\": \"dbc11a68-1aa6-4462-b5e9-aa1ceaf9be49\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -400,\n 900\n ],\n \"id\": \"2d1692b9-0dcf-4074-a4ec-fa7a77780972\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -180,\n 900\n ],\n \"id\": \"8d530a29-6caf-4641-9c25-bcd8e85f8a5d\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 40,\n 900\n ],\n \"id\": \"e4fd59d3-6bd5-45f4-9c86-45c9bb55d49b\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 954676522,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"snippet\": \"={{ $json.snippet }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 260,\n 900\n ],\n \"id\": \"225cc152-7a2d-4d44-b36c-345b7af2a301\",\n \"name\": \"insert_faqs\",\n \"alwaysOutputData\": false,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"desktop\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 1180\n ],\n \"id\": \"809d7e4c-af19-4b6a-932e-e4bb0984c957\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -420,\n 500\n ],\n \"id\": \"cdfd558a-1e56-445b-bdd7-ec0ff35404a4\",\n \"name\": \"merge_faq1\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -200,\n 500\n ],\n \"id\": \"ed5f875b-c8da-4f6d-adbe-d0fb2f65a967\",\n \"name\": \"get_queries\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 227535755,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"=227535755\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.query }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 240,\n 500\n ],\n \"id\": \"44fae620-9f03-4ded-a39e-f1ce2690303c\",\n \"name\": \"insert_related_searches\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 900\n ],\n \"id\": \"212145e4-0a93-4708-a1b6-334dc44ad2db\",\n \"name\": \"get_faq_mobile\",\n \"alwaysOutputData\": false\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1160\n ],\n \"id\": \"571d4620-6efb-4a48-9b13-2e80861270ff\",\n \"name\": \"get_organic_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1360\n ],\n \"id\": \"f9288caa-9cb0-4718-aced-30be2e52cd03\",\n \"name\": \"get_organic_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1560\n ],\n \"id\": \"2c2e754e-dee2-4ad5-bda4-dac77155e3cd\",\n \"name\": \"get_faq_desktop\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 400\n ],\n \"id\": \"487516d9-6f8d-45ca-85f8-fc1e0b233bb0\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 800\n ],\n \"id\": \"90104868-cd44-4c3f-8c6f-3cbaac7515e5\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get Data\",\n \"height\": 1560,\n \"width\": 900\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -1400,\n 400\n ],\n \"id\": \"58d1d60d-b220-4cf1-9dbd-9947365c1322\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 760,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 1200\n ],\n \"id\": \"06106d0c-d558-4429-bb6e-ebd1aeeea4a0\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **Serper Dev**\\n- **Crawl4AI**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for Serper Dev, Crawl4AI, and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 540,\n 400\n ],\n \"id\": \"a76581fa-63b9-4714-bb0f-d6e5b97a78d3\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 980\n ],\n \"id\": \"8e1d466a-e70e-48bf-bd4c-0ffb4df58ff9\",\n \"name\": \"clean_results_mobile\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 1180\n ],\n \"id\": \"03811174-be3a-4054-8d20-0d99772cd0b6\",\n \"name\": \"clean_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 500\n ],\n \"id\": \"f7f8f3b7-c1b7-452d-b772-594f78c406b2\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1760\n ],\n \"id\": \"cebaf5a7-d4ff-4d55-ad5e-1e04e4410094\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"query\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 20,\n 500\n ],\n \"id\": \"e5777b16-ec07-41f0-9d9e-bd11fe94d37f\",\n \"name\": \"remove_duplicates_in_questions1\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1360\n ],\n \"id\": \"5f44a0af-2db9-4683-ab5b-2d936a1c2775\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1560\n ],\n \"id\": \"5696379e-fc4c-40a2-a6d1-e64ae9f27827\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -180,\n 1360\n ],\n \"id\": \"da9d9a1e-1a18-4b2c-b949-5ba7e6245dff\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 40,\n 1360\n ],\n \"id\": \"72b8390f-4cca-435c-b620-bdaf492516a0\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 260,\n 1360\n ],\n \"id\": \"3739f1f7-498d-42b1-b8de-074eb853c2e9\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 500,\n 1360\n ],\n \"id\": \"83e25836-0066-4f4b-b685-bb29b117ce6a\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position, title\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 700,\n 1360\n ],\n \"id\": \"6b38f0ef-79df-4db9-9781-7e6824e8f0e1\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"url\": \"=http://crawl4ai:11235/task/{{ $json.task_id }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 380,\n 1580\n ],\n \"id\": \"2e2f9ba0-d6f6-4dfe-8d50-0b6c4050e5a6\",\n \"name\": \"get_status\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"result.metadata.title\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"result.metadata.description\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"result.metadata['og:url']\",\n \"value\": \"={{ $('get_status').item.json.result.metadata['og:url'] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"result.cleaned_html\",\n \"value\": \"={{ $('get_status').item.json.result.cleaned_html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 800,\n 1580\n ],\n \"id\": \"77a31dfd-94d9-4805-9600-de73e6995b36\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERPs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1460,\n 1580\n ],\n \"id\": \"8a1d7086-25ef-4aba-89cb-6b5a0c33d62e\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"http://crawl4ai:11235/crawl\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"urls\",\n \"value\": \"={{ $json.link }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -40,\n 1580\n ],\n \"id\": \"d80a9011-dda9-4629-ba68-d2d8ccb9dfd4\",\n \"name\": \"get_page_content\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 180,\n 1580\n ],\n \"id\": \"c1f79552-9de1-4668-8ce2-5d305c2da8e0\",\n \"name\": \"sleep\",\n \"webhookId\": \"39bf1438-2316-4e3e-bb9d-0dd5d29b3509\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"100015ac-f73c-406d-acd5-49a41d60111a\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 580,\n 1580\n ],\n \"id\": \"65201719-59c2-4c79-ab24-bf0dd6839588\",\n \"name\": \"check_status\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1120,\n 1360\n ],\n \"id\": \"54697f10-4eed-42dc-97ad-cd67edaccab1\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1140,\n 1580\n ],\n \"id\": \"f49c11dd-33ea-43a3-8462-fe0598482351\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n }\n ],\n \"pinData\": {\n \"On form submission\": [\n {\n \"json\": {\n \"Focus Keyword\": \"mit ki musik erstellen\",\n \"Country\": \"de\",\n \"submittedAt\": \"2025-04-29T16:49:04.255-04:00\",\n \"formMode\": \"test\"\n }\n }\n ],\n \"get_mobile_serp_results\": [\n {\n \"json\": {\n \"searchParameters\": {\n \"q\": \"mit ki musik erstellen\",\n \"gl\": \"de\",\n \"type\": \"search\",\n \"device\": \"mobile\",\n \"engine\": \"google\"\n },\n \"organic\": [\n {\n \"title\": \"MIT KI-Musik erstellen - Loudly\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"date\": \"13 Dec 2023\",\n \"position\": 1\n },\n {\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"date\": \"21 Mar 2025\",\n \"position\": 2\n },\n {\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"snippet\": \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva. Erstelle ganz einfach Songs, auch ohne komponieren zu können.\",\n \"position\": 3\n },\n {\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"snippet\": \"In diesem Video lernst du, wie einfach es ist, mithilfe von künstlicher Intelligenz hochwertige Musik zu erstellen.\",\n \"date\": \"18 Oct 2024\",\n \"position\": 4\n },\n {\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos, Leistungsstark)\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"position\": 5\n },\n {\n \"title\": \"Suno – KI-Musik – Apps bei Google Play\",\n \"link\": \"https://play.google.com/store/apps/details?id=com.suno.android&hl=de\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. ... Starte mit 10 kostenlosen Songs (50 Gratis- ...\",\n \"rating\": 4.8,\n \"ratingCount\": 308499,\n \"position\": 6\n },\n {\n \"title\": \"Die 10 besten KI-Musikgeneratoren (April 2025) - Unite.AI\",\n \"link\": \"https://www.unite.ai/de/Beste-KI-Musikgeneratoren/\",\n \"snippet\": \"FlexClip AI Music Generator bietet eine nahtlose Möglichkeit, KI-generierte Songs zu erstellen, ohne dass musikalisches Fachwissen erforderlich ...\",\n \"date\": \"13 Apr 2025\",\n \"position\": 7\n },\n {\n \"title\": \"Suno- KI-Musik im App Store\",\n \"link\": \"https://apps.apple.com/de/app/suno-ki-musik/id6480136315\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. Entdecke folgende Funktionen: • Erstelle Songs ...\",\n \"rating\": 4.9,\n \"ratingCount\": 10151,\n \"position\": 8\n },\n {\n \"title\": \"#1 KI Song Generator - KI Song erstellen kostenlos online - Vidnoz AI\",\n \"link\": \"https://de.vidnoz.com/ki-music-generator.html\",\n \"snippet\": \"Mit KI Song Generator erstellen Sie eigene KI Songs & Musik aus Text oder Songtext online kostenlos ohne Anmeldung.\",\n \"position\": 9\n },\n {\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"snippet\": \"Die KI kann heute einen kompletten Song erstellen, der sich anhört, als hätte jemand ihn geschrieben, der Musik studiert hat und seit 20 Jahren ...\",\n \"date\": \"29 Mar 2024\",\n \"position\": 10\n }\n ],\n \"peopleAlsoAsk\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Es ist super einfach, KI-Musik mit AI-Music-Generator-Apps wie dem in Canva integrierten Soundraw zu erstellen. Wenn du KI-Songs produzierst, solltest du diese Tipps beachten: Wähle die richtige Stimmung, das richtige Genre, Thema und die richtige Länge für deinen Musik-Track.\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": \"DIE 9 BESTEN KOSTENLOSEN MUSIKPROGRAMME\\n1\\nTracktion Waveform Free. ...\\n2\\nGarageband. ...\\n3\\nOhm Studio. ...\\n4\\nAudacity. ...\\n5\\nPro Tools First. ...\\n6\\nCubase LE. ...\\n7\\nCakewalk by BandLab. ...\\n8\\nPreSonus Studio One 5 Prime.\",\n \"title\": \"Die 9 besten kostenlosen Musikprogramme - iMusician\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/\"\n }\n ],\n \"relatedSearches\": [\n {\n \"query\": \"AIVA\"\n },\n {\n \"query\": \"Musik mit KI erstellen kostenlos\"\n },\n {\n \"query\": \"Mit ki musik erstellen free\"\n },\n {\n \"query\": \"ki-song erstellen mit text\"\n },\n {\n \"query\": \"Mit ki musik erstellen songs\"\n },\n {\n \"query\": \"Ki song erstellen kostenlos suno\"\n },\n {\n \"query\": \"KI-Song Generator Deutsch\"\n },\n {\n \"query\": \"Musik KI kostenlos\"\n },\n {\n \"query\": \"KI-Musik Suno\"\n }\n ],\n \"credits\": 1\n }\n }\n ],\n \"get_desktop_serp_results\": [\n {\n \"json\": {\n \"searchParameters\": {\n \"q\": \"mit ki musik erstellen\",\n \"gl\": \"de\",\n \"type\": \"search\",\n \"device\": \"desktop\",\n \"engine\": \"google\"\n },\n \"organic\": [\n {\n \"title\": \"MIT KI-Musik erstellen - Loudly\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"date\": \"13 Dec 2023\",\n \"position\": 1\n },\n {\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"date\": \"21 Mar 2025\",\n \"position\": 2\n },\n {\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"snippet\": \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva. Erstelle ganz einfach Songs, auch ohne komponieren zu können.\",\n \"position\": 3\n },\n {\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"snippet\": \"In diesem Video lernst du, wie einfach es ist, mithilfe von künstlicher Intelligenz hochwertige Musik zu erstellen.\",\n \"date\": \"18 Oct 2024\",\n \"position\": 4\n },\n {\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos, Leistungsstark)\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"position\": 5\n },\n {\n \"title\": \"Suno – KI-Musik – Apps bei Google Play\",\n \"link\": \"https://play.google.com/store/apps/details?id=com.suno.android&hl=de\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. ... Starte mit 10 kostenlosen Songs (50 Gratis- ...\",\n \"rating\": 4.8,\n \"ratingCount\": 308499,\n \"position\": 6\n },\n {\n \"title\": \"Die 10 besten KI-Musikgeneratoren (April 2025) - Unite.AI\",\n \"link\": \"https://www.unite.ai/de/Beste-KI-Musikgeneratoren/\",\n \"snippet\": \"FlexClip AI Music Generator bietet eine nahtlose Möglichkeit, KI-generierte Songs zu erstellen, ohne dass musikalisches Fachwissen erforderlich ...\",\n \"date\": \"13 Apr 2025\",\n \"position\": 7\n },\n {\n \"title\": \"Suno- KI-Musik im App Store\",\n \"link\": \"https://apps.apple.com/de/app/suno-ki-musik/id6480136315\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. Entdecke folgende Funktionen: • Erstelle Songs ...\",\n \"rating\": 4.9,\n \"ratingCount\": 10151,\n \"position\": 8\n },\n {\n \"title\": \"#1 KI Song Generator - KI Song erstellen kostenlos online - Vidnoz AI\",\n \"link\": \"https://de.vidnoz.com/ki-music-generator.html\",\n \"snippet\": \"Mit KI Song Generator erstellen Sie eigene KI Songs & Musik aus Text oder Songtext online kostenlos ohne Anmeldung.\",\n \"position\": 9\n },\n {\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"snippet\": \"Die KI kann heute einen kompletten Song erstellen, der sich anhört, als hätte jemand ihn geschrieben, der Musik studiert hat und seit 20 Jahren ...\",\n \"date\": \"29 Mar 2024\",\n \"position\": 10\n }\n ],\n \"peopleAlsoAsk\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Es ist super einfach, KI-Musik mit AI-Music-Generator-Apps wie dem in Canva integrierten Soundraw zu erstellen. Wenn du KI-Songs produzierst, solltest du diese Tipps beachten: Wähle die richtige Stimmung, das richtige Genre, Thema und die richtige Länge für deinen Musik-Track.\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": \"DIE 9 BESTEN KOSTENLOSEN MUSIKPROGRAMME\\n1\\nTracktion Waveform Free. ...\\n2\\nGarageband. ...\\n3\\nOhm Studio. ...\\n4\\nAudacity. ...\\n5\\nPro Tools First. ...\\n6\\nCubase LE. ...\\n7\\nCakewalk by BandLab. ...\\n8\\nPreSonus Studio One 5 Prime.\",\n \"title\": \"Die 9 besten kostenlosen Musikprogramme - iMusician\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/\"\n }\n ],\n \"relatedSearches\": [\n {\n \"query\": \"AIVA\"\n },\n {\n \"query\": \"Musik mit KI erstellen kostenlos\"\n },\n {\n \"query\": \"Mit ki musik erstellen free\"\n },\n {\n \"query\": \"ki-song erstellen mit text\"\n },\n {\n \"query\": \"Mit ki musik erstellen songs\"\n },\n {\n \"query\": \"Ki song erstellen kostenlos suno\"\n },\n {\n \"query\": \"KI-Song Generator Deutsch\"\n },\n {\n \"query\": \"Musik KI kostenlos\"\n },\n {\n \"query\": \"KI-Musik Suno\"\n }\n ],\n \"credits\": 1\n }\n }\n ]\n },\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq1\": {\n \"main\": [\n [\n {\n \"node\": \"get_queries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_queries\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"clean_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_organic_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions1\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_status\": {\n \"main\": [\n [\n {\n \"node\": \"check_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"sleep\": {\n \"main\": [\n [\n {\n \"node\": \"get_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_status\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"0359ea11-47b9-4805-a228-06c4a5489c3a\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"3lBbvTOrzMpMGgIH\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Product - SERP Analysis (Serper & Crawl4AI)", "node_count": 39, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 40\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product - SERP Analysis (Serper + Firecrawl)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -1180,\n 800\n ],\n \"id\": \"5ecb2019-83f7-44bd-9db9-31e23d8d14a1\",\n \"name\": \"On form submission\",\n \"webhookId\": \"d361eaea-6612-4e11-8f2b-45bdaf5326d6\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n },\n {\n \"name\": \"exclude\",\n \"value\": \"[\\\"video\\\", \\\"image\\\", \\\"news\\\", \\\"places\\\"]\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -960,\n 700\n ],\n \"id\": \"a2da6da5-0037-4970-ac6d-d96707b2bd45\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -240,\n 1020\n ],\n \"id\": \"387919ac-8828-499b-b23f-9e6ec32dc110\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -240,\n 1220\n ],\n \"id\": \"a34acf1e-8b88-4eae-85ec-fcdd30e3b9b7\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -20,\n 1120\n ],\n \"id\": \"c4dd0fa1-e5ea-41b3-bfe5-e385a357873a\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 200,\n 1120\n ],\n \"id\": \"e950c41d-b16d-48c9-b258-c4489296db3e\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 420,\n 1120\n ],\n \"id\": \"cfc4e26c-3be3-46ee-b1d3-0e70dd827d04\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 640,\n 1120\n ],\n \"id\": \"847ae746-5152-4612-8806-9dd9ba24269c\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -240,\n 620\n ],\n \"id\": \"e2f71cb9-3b71-42ce-a1d4-f42c5ceec3e0\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -20,\n 620\n ],\n \"id\": \"d029304e-6b6e-4a3d-892a-1516e246d2a5\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 200,\n 620\n ],\n \"id\": \"4958d4eb-ff5e-488d-968c-fcc24431b125\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Firecrawl)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 1017872754,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"snippet\": \"={{ $json.snippet }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 420,\n 620\n ],\n \"id\": \"f1827495-2e07-41d3-aea7-53cf1cca2b99\",\n \"name\": \"insert_faqs\",\n \"alwaysOutputData\": false,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"desktop\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -960,\n 900\n ],\n \"id\": \"0edffdce-61ba-4a10-8cdc-e05430330d0e\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -260,\n 220\n ],\n \"id\": \"82480a14-9f6d-47a5-8dec-a5432c59330a\",\n \"name\": \"merge_faq1\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"query\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 180,\n 220\n ],\n \"id\": \"6b784080-34e4-4fa0-8105-ad97013a7bd5\",\n \"name\": \"remove_duplicates_in_questions1\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -40,\n 220\n ],\n \"id\": \"c41e1b7d-20ac-4c63-b6fa-45869f2ea4f0\",\n \"name\": \"get_queries\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 860,\n 1120\n ],\n \"id\": \"fa8e86c5-017a-49e3-8472-f8dd45bdab8e\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"link\",\n \"renameField\": true,\n \"outputFieldName\": \"urls\"\n },\n {\n \"fieldToAggregate\": \"snippet\"\n },\n {\n \"fieldToAggregate\": \"position\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.aggregate\",\n \"typeVersion\": 1,\n \"position\": [\n 1060,\n 1120\n ],\n \"id\": \"3239749d-c7f6-49cb-8ac1-22c9199e1970\",\n \"name\": \"Aggregate\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"41551d5e-79f3-4085-8011-fa2d28e043ea\",\n \"leftValue\": \"={{ $json.success }}\",\n \"rightValue\": \"\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n }\n },\n {\n \"id\": \"01f4ad18-0015-48d9-aa3a-ace8bd3282c0\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 660,\n 1360\n ],\n \"id\": \"55d83728-dc2a-4c04-ab80-1e72bcc68ce5\",\n \"name\": \"check_status\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"title\",\n \"value\": \"={{ $json.data[0].metadata[\\\"og:title\\\"] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"description\",\n \"value\": \"={{ $json.data[0].metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"url\",\n \"value\": \"={{ $json.data[0].metadata.url }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"content\",\n \"value\": \"={{ $json.data[0].markdown }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1140,\n 1380\n ],\n \"id\": \"051753ab-851e-4961-9564-da931d447b9b\",\n \"name\": \"get_metadata1\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Firecrawl)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 227535755,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.query }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 400,\n 220\n ],\n \"id\": \"eeb3e598-369e-40a1-8dd2-7e23e591dd8c\",\n \"name\": \"insert_related_searches\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 620\n ],\n \"id\": \"336a3422-8e2d-4a58-ad08-628e1c366786\",\n \"name\": \"get_faq_mobile\",\n \"alwaysOutputData\": false\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 880\n ],\n \"id\": \"d216fd4b-3330-4a3a-842a-321ab426ac8c\",\n \"name\": \"get_organic_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 1080\n ],\n \"id\": \"67788b12-b737-42ad-906f-f06754fda0b5\",\n \"name\": \"get_organic_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 1280\n ],\n \"id\": \"1b08a4a8-58c9-410f-9a17-26b3af472609\",\n \"name\": \"get_faq_desktop\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 120\n ],\n \"id\": \"9c0828db-ca35-4c41-8b05-3f07c18ab4cc\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 520\n ],\n \"id\": \"89d2ea30-0aba-4823-a812-ea03e8d9c485\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get Data\",\n \"height\": 1560,\n \"width\": 900\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -1240,\n 120\n ],\n \"id\": \"ed437287-0c65-4fe3-92d3-7828443d2f2c\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 760,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 920\n ],\n \"id\": \"4aba3279-24a8-4c1d-a2d0-e02fb1f7a8b7\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **Serper Dev**\\n- **Firecrawl**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for Serper Dev, Firecrawl, and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 700,\n 120\n ],\n \"id\": \"3c5d68e6-aa54-4e76-bc9d-1ba574df273c\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1320,\n 1380\n ],\n \"id\": \"8e478df5-5e3f-489e-9da5-2057c863b6a2\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 880,\n 1360\n ],\n \"id\": \"f79896ca-9389-47cf-8a98-40deeada564c\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"url\": \"={{ $json.url || $json.next }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 440,\n 1360\n ],\n \"id\": \"1b1aed24-a952-4d30-ac92-f580300f2d9b\",\n \"name\": \"check_crawl_status\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"r3zPXXitwsV4wBHf\",\n \"name\": \"Firecrawl\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.firecrawl.dev/v1/batch/scrape\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"urls\\\": [{{ $json.urls.map(item => `\\\"${item}\\\"`) }}],\\n \\\"formats\\\": [\\n \\\"markdown\\\"\\n ]\\n}\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1260,\n 1120\n ],\n \"id\": \"540180c6-438d-4d81-880c-75d6181d39ca\",\n \"name\": \"get_page_content\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"r3zPXXitwsV4wBHf\",\n \"name\": \"Firecrawl\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -760,\n 700\n ],\n \"id\": \"9c35c0e1-41b6-433a-9472-e84d8f3273c1\",\n \"name\": \"clean_results_mobile\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -760,\n 900\n ],\n \"id\": \"911eacc4-817b-40dc-8dbd-3e6ccd670d5b\",\n \"name\": \"clean_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 220\n ],\n \"id\": \"d1881960-637c-4209-a088-9a04c1f2cdde\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 1480\n ],\n \"id\": \"29b1a371-99dc-4cd3-aa81-207e56ca6064\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Firecrawl)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('get_metadata1').item.json.title }}\",\n \"link\": \"={{ $('get_metadata1').item.json.url }}\",\n \"position\": \"={{ $('Aggregate').item.json.position[$runIndex + 1] }}\",\n \"snippet\": \"={{ $('Aggregate').item.json.snippet[$runIndex + 1] }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1660,\n 1400\n ],\n \"id\": \"04f854c2-edeb-4b51-8f15-f5ebb6fa767d\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"amount\": 15\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 220,\n 1360\n ],\n \"id\": \"5f4cebe9-a781-4747-8fdb-5a4df77294ac\",\n \"name\": \"sleep\",\n \"webhookId\": \"e7c2e1f8-6c7d-4c2a-8ecf-253efbd21085\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_faqs\": {\n \"main\": [\n []\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq1\": {\n \"main\": [\n [\n {\n \"node\": \"get_queries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions1\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_queries\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_status\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata1\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_related_searches\": {\n \"main\": [\n []\n ]\n },\n \"get_faq_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_metadata1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_crawl_status\": {\n \"main\": [\n [\n {\n \"node\": \"check_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_organic_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"sleep\": {\n \"main\": [\n [\n {\n \"node\": \"check_crawl_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c072d388-0164-4686-9c28-1eeff0fef0f6\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"BZwGHvuxb2RfuP3E\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Product - SERP Analysis (Serper + Firecrawl)", "node_count": 40, "category": "General Automation"}}
{"prompt": "Build a workflow for: Serp Analysis Template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 35\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"SERP Analysis Template\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -880,\n 940\n ],\n \"id\": \"b93168f8-109d-4014-9ec8-661086b9c4ad\",\n \"name\": \"On form submission\",\n \"webhookId\": \"92522c0f-d6a1-4d0d-aff7-eb5db34ee8e0\"\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"DESKTOP\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 1040\n ],\n \"id\": \"67331a54-782c-4e11-a3c8-5441d65ded74\",\n \"name\": \"get_desktop_serp_results\"\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 820\n ],\n \"id\": \"990a8da4-2021-4663-8416-09dbfafbe98c\",\n \"name\": \"get_mobile_serp_results\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 820\n ],\n \"id\": \"f9875911-5b24-4584-b161-a5d0a4978fb1\",\n \"name\": \"get_organic_results_by_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1040\n ],\n \"id\": \"97f9f45d-c6a7-47fd-9377-ab0261f673b5\",\n \"name\": \"get_organic_results_by_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 640\n ],\n \"id\": \"228b96fa-9d26-474c-8105-af5d565beb34\",\n \"name\": \"get_faq_by_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1260\n ],\n \"id\": \"40066e50-cfe3-4fff-8afb-8661d75a0592\",\n \"name\": \"get_faq_by_desktop\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -220,\n 820\n ],\n \"id\": \"ee22525b-fb1d-492e-8c6c-65665c705ca7\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -240,\n 1040\n ],\n \"id\": \"18964edb-4e1c-46f5-9a84-eefcc5ab2119\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 40,\n 780\n ],\n \"id\": \"f07e0e80-7ab1-4631-8d12-0eabb82dbc4d\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"options\": {\n \"reset\": false\n }\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 40,\n 1080\n ],\n \"id\": \"21ae683d-b280-4250-9fd9-53cf4fceaacd\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"http://crawl4ai:11235/crawl\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"urls\",\n \"value\": \"={{ $json.link }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 320,\n 1100\n ],\n \"id\": \"8f051515-5b35-49b7-bb09-7da492daf249\",\n \"name\": \"get_page_content\"\n },\n {\n \"parameters\": {\n \"url\": \"=http://crawl4ai:11235/task/{{ $json.task_id }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 740,\n 1100\n ],\n \"id\": \"07f77190-2241-41aa-b731-4049dd1274c4\",\n \"name\": \"get_status\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"100015ac-f73c-406d-acd5-49a41d60111a\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 940,\n 1100\n ],\n \"id\": \"c0e6afbf-12a1-4d25-b335-dc0111fe1480\",\n \"name\": \"If\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"result.metadata.title\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"result.metadata.description\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"result.metadata['og:url']\",\n \"value\": \"={{ $('get_status').item.json.result.metadata['og:url'] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"result.cleaned_html\",\n \"value\": \"={{ $('get_status').item.json.result.cleaned_html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1160,\n 1040\n ],\n \"id\": \"c097144a-cc69-4061-a720-a1f94d91ab3b\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"html\": \"={{ $json.result.cleaned_html }}\",\n \"destinationKey\": \"content\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.markdown\",\n \"typeVersion\": 1,\n \"position\": [\n 1400,\n 1200\n ],\n \"id\": \"52102ba3-90b5-4ff7-b368-469c0c79baff\",\n \"name\": \"get_content_as_markdown\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 540,\n 1100\n ],\n \"id\": \"0e696748-e2cb-4767-b532-83eb429f2906\",\n \"name\": \"wait_5_sec_0\",\n \"webhookId\": \"28064a82-1e4e-41f5-bdd9-7cf011034260\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 200,\n 780\n ],\n \"id\": \"5380bee4-e5ed-4022-9771-6858fe1af7ea\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 520,\n 780\n ],\n \"id\": \"ef611ef3-164c-4fed-81d2-e724af8438a2\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1620,\n 1200\n ],\n \"id\": \"97b7b8c9-855c-4d83-a06f-3ff07f6213b6\",\n \"name\": \"OpenAI\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 360,\n 780\n ],\n \"id\": \"f55ec09b-332d-416e-aad5-e824dea44efd\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get SERPs by Keyword and Country\",\n \"height\": 840,\n \"width\": 840\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -920,\n 580\n ],\n \"id\": \"2bf16ade-d73d-463b-9d72-8084e92b90ec\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Prepare SERPs for Crawling and Analysis\",\n \"height\": 400,\n \"width\": 820,\n \"color\": 6\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 580\n ],\n \"id\": \"5767bdeb-11b2-45aa-9edb-56aaf4665dd2\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Crawl Pages with Crawl4ai\",\n \"height\": 420,\n \"width\": 2240,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 1000\n ],\n \"id\": \"c5414411-56e7-4307-ab8c-a1f2abf852e9\",\n \"name\": \"Sticky Note2\"\n },\n {\n \"parameters\": {\n \"content\": \"# Save Results to Google Sheets\",\n \"height\": 920,\n \"width\": 1020\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 3060,\n -360\n ],\n \"id\": \"04fe31ac-9da9-4814-a493-a90473942ed9\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"### Google Sheets\\n\\nCreate a sheet called \\\"SERPs\\\" with the following columns:\\n- position\\n- title\\n- link\\n- snippet\\n- short_summary\\n- potential_focus_keyword\\n- relevant_long_tail_keywords\\n- unigrams\\n- bigrams\\n- trigrams\",\n \"width\": 400\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 1760,\n 1020\n ],\n \"id\": \"4d2a7420-a20e-4c62-a0cd-8563c72ef2cc\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"### Limit\\n\\nSet a limit when testing the workflow to save computing costs and token usage.\",\n \"height\": 120,\n \"width\": 220\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 360,\n 640\n ],\n \"id\": \"5b6f6a69-fe05-4a8a-82a0-73bb799e2276\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 920,\n 680\n ],\n \"id\": \"e73f5aac-00c8-4e5c-b6b1-d05cd18d452f\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 1140,\n 680\n ],\n \"id\": \"f024e1c0-1b30-457e-8a76-e216ddab21ac\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 1360,\n 680\n ],\n \"id\": \"ffa44fad-d363-40db-b94d-8fbd16edab19\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1580,\n 680\n ],\n \"id\": \"4a3183c1-a045-4d8a-aae6-9fde63d5500e\",\n \"name\": \"loop_over_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Keyword Research\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 738525081,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit#gid=738525081\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1900,\n 780\n ],\n \"id\": \"7527a6f0-1908-4a91-a1a2-704ba5602c36\",\n \"name\": \"insert_faqs\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Keyword Research\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERPs\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit#gid=0\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1960,\n 1200\n ],\n \"id\": \"77f6f438-83ad-4e99-aec0-52e006fd3f49\",\n \"name\": \"insert_serp_analysis\"\n },\n {\n \"parameters\": {\n \"content\": \"# GET FAQs\",\n \"height\": 400,\n \"width\": 1400,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 780,\n 580\n ],\n \"id\": \"7bdc4d1c-9987-401b-8a23-0e44a052c541\",\n \"name\": \"Sticky Note6\"\n },\n {\n \"parameters\": {\n \"content\": \"### Google Sheets\\n\\nCreate a sheet called \\\"FAQs\\\" with the following columns:\\n- question\\n- title\\n- link\",\n \"width\": 260\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 1880,\n 600\n ],\n \"id\": \"f0770b44-c147-4f04-9623-802beb9f7dcb\",\n \"name\": \"Sticky Note7\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"wait_5_sec_0\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_status\": {\n \"main\": [\n [\n {\n \"node\": \"If\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"wait_5_sec_0\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"get_content_as_markdown\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"wait_5_sec_0\": {\n \"main\": [\n [\n {\n \"node\": \"get_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_content_as_markdown\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"loop_over_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"loop_over_questions\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_faqs\": {\n \"main\": [\n [\n {\n \"node\": \"loop_over_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"b43516de-b4c7-4038-b4f6-83294815796d\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"9lW9vKY54sMpIvZC\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "SERP Analysis Template", "node_count": 35, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 36\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.removeDuplicates, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, n8n-nodes-base.code, n8n-nodes-base.formTrigger\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Template - SERP Analysis (Serper)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n }\n ]\n }\n },\n {\n \"fieldLabel\": \"hl\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"en\"\n }\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -1340,\n 1080\n ],\n \"id\": \"349ba094-8f87-4bcb-83f1-d286e7b96f76\",\n \"name\": \"On form submission\",\n \"webhookId\": \"688891c0-8e2b-49f6-beb1-ad881f0412cd\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n },\n {\n \"name\": \"exclude\",\n \"value\": \"[\\\"video\\\", \\\"image\\\", \\\"news\\\", \\\"places\\\"]\"\n },\n {\n \"name\": \"hl\",\n \"value\": \"={{ $json.hl }}\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 980\n ],\n \"id\": \"0262df51-ba80-46db-bf76-03417617fe44\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"faqs\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -180,\n 900\n ],\n \"id\": \"fd37ed1e-149b-49bb-a1fc-345d642997f2\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1Wdynwg7WmGldyWOd8r-mf9VjnCHJQtHosxJskNLfb2A\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 954676522,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"snippet\": \"={{ $json.snippet }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 260,\n 900\n ],\n \"id\": \"6b533b68-e380-4fc7-8286-d7741751847e\",\n \"name\": \"insert_faqs\",\n \"alwaysOutputData\": true,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"desktop\"\n },\n {\n \"name\": \"hl\",\n \"value\": \"={{ $json.hl }}\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 1180\n ],\n \"id\": \"df178d34-0af1-46dd-a542-ac49a619c543\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -200,\n 500\n ],\n \"id\": \"5140a96e-5086-40ef-b357-fcd535e8a4f0\",\n \"name\": \"get_queries\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1Wdynwg7WmGldyWOd8r-mf9VjnCHJQtHosxJskNLfb2A\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 857390152,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.query }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 240,\n 500\n ],\n \"id\": \"7811c41b-ed61-49ca-903c-b121ffea7f3b\",\n \"name\": \"insert_related_searches\",\n \"alwaysOutputData\": true,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"faqs\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 900\n ],\n \"id\": \"623722a5-a1f6-470d-b9c9-d48272641bb5\",\n \"name\": \"get_faq_mobile\",\n \"alwaysOutputData\": true,\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1160\n ],\n \"id\": \"d08f09c1-8f87-4a8e-9ed7-88b8ace602cd\",\n \"name\": \"get_organic_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1360\n ],\n \"id\": \"fd37ffb2-175d-43be-b3eb-a1a1bc0bec3e\",\n \"name\": \"get_organic_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"faqs\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1560\n ],\n \"id\": \"d3c39dcf-a921-434b-bbe9-2ba0e2af3f2b\",\n \"name\": \"get_faq_desktop\",\n \"alwaysOutputData\": true,\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 400\n ],\n \"id\": \"55b418ae-b85e-48ce-b5ab-7c6e8f6bd237\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 800\n ],\n \"id\": \"19e037a0-0e0d-4b1c-a0a2-5d4f169a5298\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get Data\",\n \"height\": 1560,\n \"width\": 900\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -1400,\n 400\n ],\n \"id\": \"17460b8b-cd05-4396-9c7b-280c1007ca3c\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 760,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 1200\n ],\n \"id\": \"b4ac485c-2dc6-40e2-b373-46d320ef3901\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **Serper Dev**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for Serper and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 540,\n 400\n ],\n \"id\": \"5ef92013-20dd-4f6a-bc7c-230065b9972e\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 980\n ],\n \"id\": \"6db2c1a6-0b73-447d-b5bc-caf2503a5e3d\",\n \"name\": \"clean_results_mobile\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 1180\n ],\n \"id\": \"a74656ba-5010-47fa-b0af-5d1362ec21c7\",\n \"name\": \"clean_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 500\n ],\n \"id\": \"80407282-3e1f-4299-acf5-46208a88dc3a\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1760\n ],\n \"id\": \"95d4baed-a22f-40d7-aaa8-07f2927cc83f\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1360\n ],\n \"id\": \"7731c85d-1eee-4358-9596-8ec3352dbc6a\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1560\n ],\n \"id\": \"46a784cc-9522-449e-8401-9b8624311cca\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -180,\n 1360\n ],\n \"id\": \"307fc94b-5d8f-489d-933d-68d219625ad2\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 40,\n 1360\n ],\n \"id\": \"0f11d76a-f581-4ca2-9e74-07f2ed377d63\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 260,\n 1360\n ],\n \"id\": \"7aa14696-7e34-4f83-a55f-50e3f6de2a7c\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 500,\n 1360\n ],\n \"id\": \"42822b6c-1853-4124-bd48-63926e8c961a\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position, title\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 700,\n 1360\n ],\n \"id\": \"c333051f-5237-43c6-a05d-672a600bd5e3\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"title\",\n \"value\": \"={{ $json.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"description\",\n \"value\": \"={{ $json.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"url\",\n \"value\": \"={{ $json.metadata['og:url']}}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"content\",\n \"value\": \"={{ $json.markdown }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 800,\n 1580\n ],\n \"id\": \"9c18cb01-e226-48d9-beb9-fa0cdc02ae29\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1Wdynwg7WmGldyWOd8r-mf9VjnCHJQtHosxJskNLfb2A\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1460,\n 1580\n ],\n \"id\": \"6c9c8793-2d05-4897-b7c5-3f2a8c31e2bf\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1120,\n 1360\n ],\n \"id\": \"ddab64b7-027e-4ed9-b5d2-3c5cd08aa7f7\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {\n \"temperature\": 0\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1140,\n 1580\n ],\n \"id\": \"09bf9148-59a2-4a15-ba1e-b93a04e366a6\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -420,\n 500\n ],\n \"id\": \"3770a01b-51c7-4799-a4dc-bccd53c36f76\",\n \"name\": \"merge_related_searches\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -400,\n 900\n ],\n \"id\": \"2833526f-c8e7-4962-9404-1c88d589d030\",\n \"name\": \"merge_faqs\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"query\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 20,\n 500\n ],\n \"id\": \"c0f3b915-532f-4c2d-8e50-33bc5b3cc44c\",\n \"name\": \"remove_duplicates_in_related_searches\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"faqs\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 40,\n 900\n ],\n \"id\": \"60b88dd3-d1af-451d-8eca-e244f6fdc38e\",\n \"name\": \"removed_duplicates_in_faqs\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://scrape.serper.dev\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"={{ $json.link }}\"\n },\n {\n \"name\": \"includeMarkdown\",\n \"value\": \"true\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 580,\n 1580\n ],\n \"id\": \"d3de725a-c32d-44e3-9925-b97aa291689e\",\n \"name\": \"scrape_url\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"removed_duplicates_in_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_queries\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faqs\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"clean_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_organic_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_related_searches\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"scrape_url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_related_searches\": {\n \"main\": [\n [\n {\n \"node\": \"get_queries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faqs\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_related_searches\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"removed_duplicates_in_faqs\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"scrape_url\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"906cd459-23f1-4cad-bd4e-0c2e68b0c01d\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"GC4Ynw42APmu86h8\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Template - SERP Analysis (Serper)", "node_count": 36, "category": "General Automation"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to auto tag blog posts", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-tag Blog Posts\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-tag Blog Posts\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"84e22aae-0a0b-4bc9-94d9-aec2d9a07826\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-tag-blog-posts\"\n },\n \"id\": \"e83f725c-c083-4c9d-9623-d9c092bbad2a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"95ca42a5-e984-4245-b770-ef64b6495ec9\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"e515e8bb-c532-4428-a593-29f5d71ba000\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"auto-tag_blog_posts\"\n },\n \"id\": \"1aa98ca1-c389-4a1a-8f0c-58fcc64e08b4\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"auto-tag_blog_posts\"\n },\n \"id\": \"53510366-3cdd-40ec-a22b-d344bbbe434f\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1693f5ae-6022-4fea-8e94-ebd59d4cbd31\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fff55186-78c9-4196-829c-0416c8c7d547\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ddbd622f-6ec7-499d-a48d-613db67e5f2b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-tag Blog Posts\"\n }\n },\n \"id\": \"b12856e2-bed9-41ff-bdbd-4b4a2fd98aa2\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-tag Blog Posts\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"a8f14a3c-3865-4097-b1ee-0265ac6ffa47\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-tag Blog Posts error: {$json.error.message}\"\n },\n \"id\": \"54b60e92-3672-4042-94c7-df1b6d28c221\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-tag Blog Posts", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to customer sentiment analysis", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Customer Sentiment Analysis\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Customer Sentiment Analysis\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9432cbf3-839c-415b-bbad-164cacd8f761\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"customer-sentiment-analysis\"\n },\n \"id\": \"deec2c7d-52f6-41d1-b6c9-f2f68cc2db9e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c999cc42-bc54-402b-8a6d-e8c924c27332\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"9c230e35-adf4-49a7-a98e-c13dfa1c4e3d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_sentiment_analysis\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_sentiment_analysis\"\n }\n },\n \"id\": \"4b1cbbe7-ae91-4cbc-9b7d-106e8def867f\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_sentiment_analysis\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_sentiment_analysis\"\n }\n },\n \"id\": \"2051fbc6-2275-4529-bcc4-7ef84d05beed\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"24603a00-5522-415e-b4c8-d80889678355\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e22fb094-3cc2-492f-95f7-608b93e89409\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"3116ece9-b801-47f1-82fb-192574cedea1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Customer Sentiment Analysis\"\n }\n },\n \"id\": \"f94f99f3-4f7b-49d4-8432-b156ca31d831\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Customer Sentiment Analysis\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"50ab5f32-d0a4-49e3-a3e3-a896b94ec7a0\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Customer Sentiment Analysis error: {$json.error.message}\"\n },\n \"id\": \"59c37726-aac9-49be-a899-ed4dc6563e33\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Customer Sentiment Analysis", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Daily Content Ideas?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Daily Content Ideas\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Daily Content Ideas\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"ca5f06fc-6dec-4477-bce5-e79c88a25e7d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"daily-content-ideas\"\n },\n \"id\": \"07884fea-1b21-4c07-9cc1-0f8c9546154d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"cddbaad6-33bf-4933-8a99-018c63325ad8\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ba875ce2-e150-47e1-8036-72573e1e142d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"daily_content_ideas\"\n },\n \"id\": \"5b7779c8-04ec-41ab-abf5-4f2a2d8405fd\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"daily_content_ideas\"\n },\n \"id\": \"9a6dab96-b119-484f-aa5f-6a50b470fecd\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"9c83b97b-8ffc-4739-b045-27c982cae0dd\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c38b7694-050b-4e8d-97cd-876b30fcccab\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1b3d208d-2707-4bda-a5da-de6b5b52e811\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Daily Content Ideas\"\n }\n },\n \"id\": \"f10af89a-34ee-416a-9e15-b4e44eb9a6ba\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Daily Content Ideas\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"05153aa5-3e62-4cde-a050-7bfba1ac9895\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Daily Content Ideas error: {$json.error.message}\"\n },\n \"id\": \"4838e13d-2475-4bb1-9c74-bde4b5d4123a\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Daily Content Ideas", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for image captioning", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Image Captioning\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Image Captioning\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9a206202-bc5e-4588-9adb-e4ca5d48e1a6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"image-captioning\"\n },\n \"id\": \"bff18d10-12e1-45f2-b39a-df5d164fd3d4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3076023c-1a26-420d-864b-e14f5091d527\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"6acf18f8-c2ba-4df5-a60d-75c172c5b08b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"image_captioning\"\n },\n \"id\": \"8ec51a4a-d020-4361-9060-bca80e88dd06\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"image_captioning\"\n },\n \"id\": \"1a627070-4508-484d-b764-17d209de934f\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4bcad010-f1e4-4ac2-a626-25977d81b7ab\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f74b32f7-9f59-47bd-b835-cfa567c04ec3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"fe00cb21-88c5-4c7a-b187-54db43d4de59\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Image Captioning\"\n }\n },\n \"id\": \"7b519ec6-fe9e-4b09-a9bf-57d09c9291b1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Image Captioning\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"cb192434-f133-499e-a037-bba25d80497b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Image Captioning error: {$json.error.message}\"\n },\n \"id\": \"d5093cf2-db1e-40c7-8d41-819f2b68d2fc\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Image Captioning", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to product description generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product Description Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Product Description Generator\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"aba83af6-dd68-4125-bd8b-55630f59b564\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"product-description-generator\"\n },\n \"id\": \"f851373d-dd54-4bce-972a-1398968ca069\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d1531f49-ac87-48e1-a688-f69bb10a73e6\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"0ad45ad5-8974-40f1-86f5-59421210ff3f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"product_description_generator\",\n \"mode\": \"list\",\n \"cachedResultName\": \"product_description_generator\"\n }\n },\n \"id\": \"31f8ea33-08ab-48bf-9ba8-128fcca18cd0\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"product_description_generator\",\n \"mode\": \"list\",\n \"cachedResultName\": \"product_description_generator\"\n }\n },\n \"id\": \"08367e69-f4a4-4356-8e68-177579d2c37f\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e9fb324e-9a9f-4bc2-a3d7-19750231e9ca\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6837df12-dca6-471e-854b-f5c0453740b7\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"70715d0b-bbab-4c95-9f02-a37039e9fdd9\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Product Description Generator\"\n }\n },\n \"id\": \"568f37df-7293-45bc-8f19-868573918e67\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Product Description Generator\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f40e613e-385f-4b63-b310-de69a545f867\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Product Description Generator error: {$json.error.message}\"\n },\n \"id\": \"7e503aa0-7396-4f92-bf33-04189d66dee2\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Product Description Generator", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to resume screening", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Resume Screening\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Resume Screening\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"455a0de7-e191-4f27-984b-0b1a975ac992\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"resume-screening\"\n },\n \"id\": \"fa622ed4-da7a-405b-9693-61cd99da403c\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8bdf1d37-3aad-47ee-a8be-2be289d836cd\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"641c4206-18f5-4e08-86f3-9c26a0402c7b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"resume_screening\"\n },\n \"id\": \"52b412d1-1506-4155-955c-8bd5953d6f09\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"resume_screening\"\n },\n \"id\": \"445aad1e-d096-48a7-87d7-b39db9996de7\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"cff6fd8b-a78f-42e0-a09e-74b977034192\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac885270-4c08-4a07-99f4-b86bac40185c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a6391bfe-14c5-4cc7-a761-7458a767a9bc\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Resume Screening\"\n }\n },\n \"id\": \"90eb9ea4-b1b8-4ed3-8096-7c9eb9bcb671\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Resume Screening\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"c0268a1a-0980-428a-8c1a-dc65e55e1431\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Resume Screening error: {$json.error.message}\"\n },\n \"id\": \"a8a14ee5-f2ab-4032-bd5b-51205733be67\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Resume Screening", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Summarize Customer Emails?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Summarize Customer Emails\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Summarize Customer Emails\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"94ad1eec-70e2-4db2-b80b-385e07a22f66\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"summarize-customer-emails\"\n },\n \"id\": \"be284d5c-5194-4e36-8b98-92f89a0b69e7\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e74ee421-b363-4e81-9878-d358db8b7f91\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"c6fa5ebc-8de0-422e-af77-32f485e41649\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"summarize_customer_emails\"\n },\n \"id\": \"316539a7-288b-492f-8f01-e326e9aa6ac5\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"summarize_customer_emails\"\n },\n \"id\": \"f9073360-07bb-4a7e-924e-6f4fcec030d7\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"45a669cd-6731-4c59-b3be-8e53b00d85a7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"643506d8-f0d8-4565-b90f-26fb9de64cfe\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"34a740ac-8797-43e1-952a-cf5548b7baf8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Summarize Customer Emails\"\n }\n },\n \"id\": \"383e0a40-ddb2-4cf0-9ecb-01fa21c82ae3\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Summarize Customer Emails\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"0c486ca7-802a-4769-9164-8206e2029d1d\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Summarize Customer Emails error: {$json.error.message}\"\n },\n \"id\": \"9dc4dcc0-580e-44b3-ac10-f97b173ae1c0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Summarize Customer Emails", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for ticket urgency classification", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Ticket Urgency Classification\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Ticket Urgency Classification\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"38027751-0f0a-4d20-a473-d97aff8830e6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ticket-urgency-classification\"\n },\n \"id\": \"a6a7d7a0-659c-4dc7-b9ce-2ff29fde896a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"895175a6-a438-49f8-be28-5a542c2d2c94\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"9f624f5d-8120-46bf-9767-38d532b83000\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ticket_urgency_classification\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ticket_urgency_classification\"\n }\n },\n \"id\": \"fa749b3b-94f3-4ee4-ad85-2318a43d59bd\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ticket_urgency_classification\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ticket_urgency_classification\"\n }\n },\n \"id\": \"3e18cd1c-1148-4e2a-ae6a-def03f79d9de\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"92e69e5d-1b9c-4af3-b433-457fe4faff0b\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f0a2f5b6-017a-4db6-b8d1-ba21801e0e33\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a5183aa7-be9c-4a86-9043-a7527ba88f1b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Ticket Urgency Classification\"\n }\n },\n \"id\": \"6efa4835-772a-4e03-b1c6-6e421be8204d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Ticket Urgency Classification\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"fb391e22-5723-4584-8c4d-be5f57c434dd\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Ticket Urgency Classification error: {$json.error.message}\"\n },\n \"id\": \"eed1960f-7cee-4a70-b3e5-726c1655352e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Ticket Urgency Classification", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for translate form submissions", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Translate Form Submissions\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Translate Form Submissions\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"98af88ae-c2f2-41c7-a99f-9cfbdad8844e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"translate-form-submissions\"\n },\n \"id\": \"2816edde-baf3-4f2b-bcd2-a557bbd2e10a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8dce3eb3-ad7c-4ec9-8708-3f7b1710c2f8\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"eb1916e6-5f10-4275-b733-70d61eec092c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"translate_form_submissions\"\n },\n \"id\": \"b0b4e4a9-0cbd-4c46-9ef0-e1045662f9a2\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"translate_form_submissions\"\n },\n \"id\": \"b69c0fb8-ee02-4b55-bbac-0c4ecfcf4eb1\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"9cca05b4-8a97-40aa-bc15-9b14af78573a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2094421c-c3dc-4ad6-a6b7-a9087968478a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9c862dea-b290-472f-9439-7aa16fc4b6fa\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Translate Form Submissions\"\n }\n },\n \"id\": \"ab57b64b-8b33-49cb-b928-f8cff0036a17\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Translate Form Submissions\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"c855c2fe-e653-440a-9b00-76a40e5ecb4e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Translate Form Submissions error: {$json.error.message}\"\n },\n \"id\": \"543f94c6-7265-4aa5-83e7-de11085aa10d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Translate Form Submissions", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to voice note transcription", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Voice Note Transcription\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Voice Note Transcription\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"69424bcd-c308-40f9-8d9a-9477dd3c0ecb\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"voice-note-transcription\"\n },\n \"id\": \"6752cb1f-3bcc-4bff-bbb5-2e825c981c5d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"5d2b0243-fe4d-47b8-877d-dee5d0ad6eed\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"eb8d139e-8e63-4102-b081-7b1aa4f2d579\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"voice_note_transcription\"\n },\n \"id\": \"a2f1a360-1043-483b-bded-c2ef7dcb1b8c\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"voice_note_transcription\"\n },\n \"id\": \"40d491f7-15e2-4b49-b2a0-2b1c7c696256\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"36b1328c-786c-4df4-bbe7-8f8fe51d92e4\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2f81164b-02d8-4b4e-98cf-bd5777e116c1\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"d7840e39-4fd8-4447-bbee-2534d892ed33\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Voice Note Transcription\"\n }\n },\n \"id\": \"3b22937f-1cc4-4352-b413-489fa5cbdcb3\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Voice Note Transcription\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"e6564402-60d5-4c7b-8490-adf593207f08\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Voice Note Transcription error: {$json.error.message}\"\n },\n \"id\": \"4072a697-14c3-48c0-81ef-c9553af1d4d8\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Voice Note Transcription", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Commodity Price Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Commodity Price Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"240bb73f-5a0c-4672-a36d-98daf070734b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"commodity_price_tracker\"\n },\n \"id\": \"c23087f3-5dcd-45fe-a5f7-51cc99d3e7e1\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"013d0864-5f21-4cb8-8867-0c0e4445483a\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"db0e2610-9e2f-4435-b166-81d3532dd10e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"commodity_price_tracker\"\n },\n \"id\": \"2b3496e2-4feb-4dbc-8a5f-b1ececb2f844\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"commodity_price_tracker\"\n },\n \"id\": \"edbac296-9e6e-4152-92d8-a1f92364a08a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"1a0a6979-6af4-4e37-be9e-4716e7f172b5\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2847718a-be62-48a3-b9da-3893bba372f0\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"782053c8-0213-4494-aa1b-2a9effa10f1c\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"cc4cac32-3d40-4e4a-84ef-fe3a19777d08\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c5d7ca13-2e69-47c4-9fbd-590e15be38b8\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Commodity Price Tracker", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for crop yield predictor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Crop Yield Predictor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Crop Yield Predictor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f3362646-7c46-4e50-a664-66be86a30320\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"crop_yield_predictor\"\n },\n \"id\": \"189bb6ad-a417-41f6-bf7a-0e3ddda212f0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"30e55839-628c-4aa3-80d2-3c5a7ca26f46\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"43e8ef2b-0af0-43f4-84f1-e72771c32adb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"crop_yield_predictor\"\n },\n \"id\": \"fa3aa105-97d5-48f0-9596-2c79447b9eea\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"crop_yield_predictor\"\n },\n \"id\": \"aee3d47b-9cfb-4cc1-ac48-a3bc989f3e6a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"71c5bb9a-669c-47b3-aa70-84729641c4e9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d40e44ca-dcfe-4642-9369-a1cf44361afa\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3fe292ff-58f2-4611-b977-50c75389eb24\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d358d3c2-c50d-4959-a0f5-37a9dffb6d18\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"cbdd5fea-54eb-40eb-90e8-dfedeead8f13\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Crop Yield Predictor", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to drone image crop health", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Drone Image Crop Health\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Drone Image Crop Health\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"5021afba-679d-4168-84d0-ddf4a0bc7335\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"drone_image_crop_health\"\n },\n \"id\": \"990495aa-c27d-4380-9ea8-c2c379723be0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"10dd6e0f-6225-4179-a7cf-bc2d08425295\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"bf3dc7ec-7f5e-4f2c-a477-d7c6dc41100d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"drone_image_crop_health\"\n },\n \"id\": \"2f5b44a3-5535-4472-900f-3c779acf0c88\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"drone_image_crop_health\"\n },\n \"id\": \"34ff1a82-d55f-4c75-9682-46f6a9e10651\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"b602a790-75b9-4bd5-9a7f-31d80f1d39b8\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2a8f124a-9fbe-4415-afc7-6e97fbfd99e9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f94052a9-1f91-4329-808f-3be322180ba4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"941c34d6-684f-4aa3-b291-d076b88fe47d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0fce026d-27e0-4ff4-8eae-87f5ab08dbd3\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Drone Image Crop Health", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Build a workflow for: Farm Equipment Maintenance Reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Farm Equipment Maintenance Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Farm Equipment Maintenance Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"043695df-1656-4961-bbca-d12a2c3545c3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"farm_equipment_maintenance_reminder\"\n },\n \"id\": \"6f478769-d464-4f1e-9045-a60a13ff6b8c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b15188a4-238f-432d-99d6-1b364a65d5d1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b674f49d-427c-4da6-8cd8-66f82b3ea0a2\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"farm_equipment_maintenance_reminder\"\n },\n \"id\": \"2b52a165-3367-474e-9212-4642f59e989c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"farm_equipment_maintenance_reminder\"\n },\n \"id\": \"5bcedcb9-4581-4fa4-8f3a-06a32399263a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"3615a089-00f6-4fd9-ba52-18b759f02918\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bed3fa2c-71bf-41b7-8768-cd29776da836\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a9c8d344-3420-422f-865b-0aedac4d6274\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ec48816b-79fc-46b3-ac36-f63c66844e2d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"02967524-bc1e-414f-a9af-5a252dc5342e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Farm Equipment Maintenance Reminder", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Greenhouse Climate Controller", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Greenhouse Climate Controller\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Greenhouse Climate Controller\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f6ca7701-10db-40e0-8d19-15ca44eb181b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"greenhouse_climate_controller\"\n },\n \"id\": \"9d22707c-cdbb-4c29-acee-a55b6b22edaa\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1d527680-2885-42f3-95d0-5e2f80a6459c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f59009f4-499a-48f1-a921-5437a150897e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"greenhouse_climate_controller\"\n },\n \"id\": \"8be33fea-e4d6-4dad-b2b5-3bb5b7272e20\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"greenhouse_climate_controller\"\n },\n \"id\": \"87a1c7f9-a275-41ec-b2eb-fb638d368da7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"7217e09b-63b9-429b-b86b-51387137e044\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e964f661-3390-45b1-a1b4-14864fd9a6c4\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a97efbbd-c89b-4001-bd40-65240d4e524a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"c6ae3048-d177-40b7-ac5f-94bc7e6929e8\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a9395ee4-4b23-4c5e-92a3-c29b9a84f373\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Greenhouse Climate Controller", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Harvest Logbook", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Harvest Logbook\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Harvest Logbook\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"436f9ee5-71c5-42d5-b7fc-dbcff2db8134\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"harvest_logbook\"\n },\n \"id\": \"c2c61283-94fd-4552-8f32-1312df1c40e6\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b038312f-6c74-4c50-9f90-e5cedfb704bb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c4589904-fde4-4e34-b7ad-2f7df057a39c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"harvest_logbook\"\n },\n \"id\": \"e45e34b1-8494-4788-97f1-6d0beb8dd889\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"harvest_logbook\"\n },\n \"id\": \"b4c4018d-17a4-4a6d-98f5-14977e9b74ea\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"eb7a1db2-da18-4109-87e8-45752e834a32\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"cd043ae1-2230-421a-8995-e47d567974e9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6cd7fa28-19bd-411f-9a3f-d5126109a7ed\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"412b242e-fe10-4481-9abb-30932d959be1\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"073f0e95-20a0-4583-8dab-d53ffaa1ee6e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Harvest Logbook", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Irrigation Schedule Optimizer?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Irrigation Schedule Optimizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Irrigation Schedule Optimizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f61a51a0-1b5e-4f7d-ae28-7a1d87585c3b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"irrigation_schedule_optimizer\"\n },\n \"id\": \"330670e3-af28-42a0-9fbd-cb93e2b7dd56\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"311d8f6e-c5f9-424b-b475-51b26395127e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6bcaa39d-c038-4d22-b2f6-b064ec027d5e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"irrigation_schedule_optimizer\"\n },\n \"id\": \"023182c5-967c-44e4-99c6-84e3ffb287d3\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"irrigation_schedule_optimizer\"\n },\n \"id\": \"44c21134-953d-406a-9b29-25a308d10e8a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"6a1aa32c-814c-4551-99eb-1a07bc8c4ae8\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"920e99d5-4ace-4b92-94b9-4b7025b9f0c5\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6a401fd5-247b-4414-8d9b-43e25c1e71a1\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"f6e17324-514b-4001-8123-899440a2de47\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8feeeba0-2a81-4271-9277-e7567ad5d952\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Irrigation Schedule Optimizer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Pest Outbreak Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Pest Outbreak Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Pest Outbreak Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c31581de-ca68-49e9-b317-f3739537da27\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"pest_outbreak_alert\"\n },\n \"id\": \"63496e27-d0de-4da6-8c37-4e92b46b62fd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"887889f4-c9aa-4759-85fc-3263cc7d4ca0\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e02bdccc-12f6-4101-abca-c1aaac144466\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"pest_outbreak_alert\"\n },\n \"id\": \"6dcce654-7ee3-453c-b54a-bb6151ef25d3\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"pest_outbreak_alert\"\n },\n \"id\": \"5db24659-3cf4-4917-b295-84e7b331fcab\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"0d28b2c7-5b50-48a8-ac88-7e5e10a4ff57\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2159d931-0a89-4329-9b99-e38a49a0dc3b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"efc6cb81-5171-4b99-84dc-736d13eed3f9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d316a1db-8ec9-4aba-abff-480b8b8666e2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2300884f-6c14-467f-86ae-971687fd42db\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Pest Outbreak Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for soil nutrient analysis", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Soil Nutrient Analysis\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Soil Nutrient Analysis\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"238b2e3b-86db-47f4-a94c-deb533b0df67\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"soil_nutrient_analysis\"\n },\n \"id\": \"dbc9164d-e065-472b-b194-d749c92cb1b6\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b1e50af6-66c9-4357-b518-ca1eccb1eb61\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"eabc7a23-b1c1-49d2-910f-ded6288e3a35\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"soil_nutrient_analysis\"\n },\n \"id\": \"9856bc50-88d2-4c09-a56d-dea2e17e04d9\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"soil_nutrient_analysis\"\n },\n \"id\": \"6fe461aa-020e-46fe-8f01-09419d9cb389\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"0efa7417-f995-4363-9854-b10e19685d81\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d1e84586-1ce4-4fb2-8fe9-936f69325b35\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"17fb76c5-29db-4d96-bb2b-d5e9a424e249\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ec9091e0-c299-41e3-a3ae-0449c19c5009\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"291bccce-04b0-482e-b8aa-887b34f8d347\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Soil Nutrient Analysis", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weather Impact Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Weather Impact Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e3fa53ec-9cd7-4480-8c4d-7dd608cef030\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weather_impact_report\"\n },\n \"id\": \"bf9d8b40-4657-431e-bce3-d75c9fa88f3b\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a244c3f0-7d3a-4068-a8c3-4b76994b785b\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"99b21724-e094-4243-9a3b-f21687a15ae3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"weather_impact_report\"\n },\n \"id\": \"2747d45f-2b07-4769-9b22-87a8acf5a350\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"weather_impact_report\"\n },\n \"id\": \"d78405a7-df63-49eb-8279-1a13fb9a8a8d\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c09f609d-822d-4535-ad5e-9ea4f49511c0\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"efcabced-1d59-42e0-885e-fc2e6bb2d207\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"42274067-bd6e-4659-9644-529e4e7f7c03\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2f140a83-a29b-4f43-871b-363f52ba7064\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a29854b3-52cc-479a-813c-0379b778a0ac\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weather Impact Report", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to adas event annotator", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"ADAS Event Annotator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## ADAS Event Annotator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"d8b2d5dd-eec5-4be6-a731-db7610f15cda\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"adas_event_annotator\"\n },\n \"id\": \"b7650538-2b5e-4c0a-b76b-cafbe17c7379\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"acf9f8f1-18a7-4252-9bbe-d790944659b7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"d8155b88-15fa-4d24-8456-f17814229f46\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"adas_event_annotator\"\n },\n \"id\": \"3b95c190-406c-4bab-ac90-b44c606862fd\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"adas_event_annotator\"\n },\n \"id\": \"6ec5ac90-10ad-437b-b0b6-38185d6e1f53\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"5e7dffcb-ddb0-4336-8c7d-644c80bc91ac\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b128a48a-6322-4e10-afd3-6cb388fb2ca6\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"77813cb8-5069-4cba-b329-8f24b3e680ef\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2e95e6c3-34d2-4144-807e-6afca51a3e13\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0e18d385-0727-47f8-8cc8-d4729e36782d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "ADAS Event Annotator", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "How would you build: Autonomous Vehicle Log Summarizer?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Autonomous Vehicle Log Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Autonomous Vehicle Log Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f9708b29-a07a-487d-b49a-bac5f4a8e782\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"autonomous_vehicle_log_summarizer\"\n },\n \"id\": \"306645e3-f44e-496b-82e3-89528a3cb018\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"6ba3dfa0-ab28-4c67-963b-125237338956\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b0d6400a-7163-41aa-a4da-49b73743afae\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"autonomous_vehicle_log_summarizer\"\n },\n \"id\": \"fab62e3d-60f5-4030-b24f-79048c151155\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"autonomous_vehicle_log_summarizer\"\n },\n \"id\": \"21ae647f-f8c0-4836-a929-6288d7d3ea07\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"76f513e1-1d3d-4305-b49f-219caeff0bf1\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8fa64e3e-f5b5-449b-8ff3-8340e32125e7\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"cf5c1179-cbb9-486c-b189-b3e224cda317\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"9c387136-e363-4810-8870-7389b629e889\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"7f29dacd-3994-48f9-923b-f1cdaef9b3c2\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Autonomous Vehicle Log Summarizer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Car Insurance Quote Generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Car Insurance Quote Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Car Insurance Quote Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"89ff71d5-b2e7-4a66-8acc-821b7f4ce91e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"car_insurance_quote_generator\"\n },\n \"id\": \"168d9283-faee-4f7e-a134-f3bfc1294cf0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"155ee3a1-a300-46a2-bc8b-0218a56b0498\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a8bf8d60-8ef2-4cc7-8b05-33f248e49e1f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"car_insurance_quote_generator\"\n },\n \"id\": \"cd9554af-fc27-42e3-9df0-e6fce15d4f14\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"car_insurance_quote_generator\"\n },\n \"id\": \"d87552ca-cc95-45b7-9e8e-4695b9a94dad\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"0ca4315b-ba75-4781-9fe4-9f84217a1031\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5577f119-6005-4dd8-85f9-42ff72058e0c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1b8b3b4d-faa8-4150-9d4f-0413299c391d\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"86abc2bc-4caa-44f0-a502-b0ae8524911d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"25d690be-7683-419e-b615-b4f10fc46518\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Car Insurance Quote Generator", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Connected Car Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Connected Car Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Connected Car Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e508bf37-1d29-46fb-9d2b-09fc09903dec\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"connected_car_alert\"\n },\n \"id\": \"5b5062a3-d8a9-41da-a687-2b830fbde108\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1e33aee3-41f1-4292-8498-658fea4f49f2\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"54f0918a-2f89-464b-9471-b54f1ef9a6c1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"connected_car_alert\"\n },\n \"id\": \"2aa86725-8272-4298-bd3c-33baaee4dd2e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"connected_car_alert\"\n },\n \"id\": \"1952da2b-e537-4846-bfda-c78a5a9481c9\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"52207087-2724-4839-8455-1c7ad2f9664d\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"65b228b1-b9f6-4c9a-a2de-8122bf06a511\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"64c10477-4721-4bf3-bbfd-d9ba4d459302\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"50bb6eb4-0753-40b9-9969-8c54311a32a6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a7973fd2-bd62-414a-99fd-76f54b95a67b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Connected Car Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Dealer Lead Qualifier", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Dealer Lead Qualifier\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Dealer Lead Qualifier\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"10cea33a-c000-4e24-9f0d-2171b4677fc1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"dealer_lead_qualifier\"\n },\n \"id\": \"6efd10a1-1894-49b8-86db-299fc884d2b0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c3617701-6658-4f40-8050-b84d2f4b92a6\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"294923f9-1194-4e09-929f-0f65cfc40184\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"dealer_lead_qualifier\"\n },\n \"id\": \"0e73daad-2242-453e-af1c-bd6d96acacd5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"dealer_lead_qualifier\"\n },\n \"id\": \"0c18eeed-c8c9-4771-8495-1ad3c1724145\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"513fa07f-a331-473a-82d1-a5be5d7deedb\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"caa6f351-58ce-405d-98d8-24a036970942\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fca8e004-a059-4362-bad5-1497d584cd69\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"47f4542b-b789-4c81-99b2-3b44d5e19ba5\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"6879e7bb-3330-4068-b9a3-a568447e9a22\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Dealer Lead Qualifier", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for ev battery degradation report", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"EV Battery Degradation Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## EV Battery Degradation Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"92c42e02-8510-40a7-812a-1e1977b1a0ee\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ev_battery_degradation_report\"\n },\n \"id\": \"3673f4d3-f755-4da3-a989-f73a24d9458c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"237228ff-e1ce-4dd2-810d-26b6a27ebfcb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"97d79812-1e9e-443b-9f5c-8532436082cc\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ev_battery_degradation_report\"\n },\n \"id\": \"d59c7a2d-af7e-4752-a673-388d42eaaea1\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ev_battery_degradation_report\"\n },\n \"id\": \"c3337778-91bb-421b-881e-e5c90c6fa26e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"a3b3a77f-8cf8-4d08-b18d-685b140576a9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac626ece-e1db-4620-8899-6f0558f4598f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a5f1e8ab-5994-436a-a2b6-0ccbf8153786\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"439a0f84-096a-4d10-a8c4-b919f7cedfed\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c36303da-2313-4660-a78b-1db36ae3ea7e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "EV Battery Degradation Report", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Fleet Fuel Efficiency Report?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Fleet Fuel Efficiency Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Fleet Fuel Efficiency Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"80c93476-5b63-4243-94f3-de3e9edffc44\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"fleet_fuel_efficiency_report\"\n },\n \"id\": \"22ccad0a-ae97-4c60-a0c4-514047993d2d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b9fab98c-4465-45eb-889e-c5b7d9c1f014\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a777db21-1e21-4aa3-b7a8-3b975eda2f97\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"fleet_fuel_efficiency_report\"\n },\n \"id\": \"870dab94-5dc3-4c03-9552-619966cf2443\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"fleet_fuel_efficiency_report\"\n },\n \"id\": \"e45aef9d-9c90-4887-a1c4-b28e5395b1ec\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"388e876a-5629-47b9-946e-91dfd93c9ba6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"be428e1d-04e9-4356-a763-793b4b5c45fb\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a9dc5065-784a-4f54-bc09-c68b9e2907b4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"7729e1d0-81f6-462b-a34c-7636a61f650b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c20e8f05-4f9a-4f02-a0e2-76ca2d48e821\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Fleet Fuel Efficiency Report", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Recall Notice Tracker?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Recall Notice Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Recall Notice Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"cabaeeae-138e-4bba-ad66-dc60b7bdcc67\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"recall_notice_tracker\"\n },\n \"id\": \"62d1a9b6-18e5-4359-aee8-16265d3e175c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"97ac992c-ece4-47bc-81d4-4e20c51eb129\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"07e8318a-41fc-4bd5-8b9a-42a189dcddff\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"recall_notice_tracker\"\n },\n \"id\": \"38445783-55bd-4f33-aeb5-7d1a0764f213\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"recall_notice_tracker\"\n },\n \"id\": \"a71adc9a-d907-4df5-b013-891ba7a48b3c\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"a5f1c62f-0571-4c5d-b6f1-6737fb1ced90\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ad0a4111-4d64-40b5-9c6c-011d3227cfab\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f620de67-8533-417f-8d5b-875ac5447956\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4890950f-b7ec-4ff3-85c9-5315e6a21713\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"24428616-20e0-4e79-a4b2-9d0c0e357b88\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Recall Notice Tracker", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Ride‑Share Surge Predictor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Ride‑Share Surge Predictor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"7222b61f-b1d0-40fb-860e-aeaf26ea912b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ride‑share_surge_predictor\"\n },\n \"id\": \"4ec2ed88-4a2c-40fa-bc2c-dda08c017360\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"abb13c14-b10a-4342-9c04-8056507a00bf\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"02afbd9e-d321-4d50-bb43-d0fa1f1f0703\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ride‑share_surge_predictor\"\n },\n \"id\": \"50e25b84-39de-4834-90bf-c53a7a6cff18\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ride‑share_surge_predictor\"\n },\n \"id\": \"4e092827-7e60-48ba-bd4f-53d1e7156691\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"a33b8427-b94a-493e-92ce-0a80c90d71ab\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"120d49c6-3bb8-470c-a774-b70b8a967334\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"958f0356-b4b0-4423-ae38-74eadea35b4d\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"babe4dc2-d3bd-4101-9dca-fa1525130630\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"eb65c8b5-3bf2-4467-ac01-0238dd992025\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Ride‑Share Surge Predictor", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter to vin decoder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"VIN Decoder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## VIN Decoder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"793bdb20-2ef2-43ac-bcb3-065bc1678e6f\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"vin_decoder\"\n },\n \"id\": \"d4dd3e5e-8acb-4442-b5e2-4c4007671b19\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"054255a7-df65-4031-b72a-102ea45a911e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6c43b82a-ec86-4ff3-ad0e-6f4af66c4b48\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"vin_decoder\"\n },\n \"id\": \"562ee6e4-31b9-4f5a-b607-1e980533be6f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"vin_decoder\"\n },\n \"id\": \"650713b5-7617-4809-9a9f-f08b29398e68\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"b51f852e-23ba-4e6a-8276-d17170435cff\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b7b36300-8fa6-4766-a9a3-f7a3c8edb38e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0ad2d850-02d1-4adc-a968-b2eaff930334\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3f3fe1b1-c730-466f-82b0-90244506d79f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"ed2e5eae-1ece-40ed-9f2a-005dbccd651d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "VIN Decoder", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to youtube transcript to blog", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"YouTube Transcript to Blog\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: YouTube Transcript to Blog\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"bd0e0586-b4e8-4da9-8d93-57602a5219de\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"youtube-transcript-to-blog\"\n },\n \"id\": \"fe1b58d8-2bdc-4ce8-bcf8-95c9b0b6477d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ceba2716-6fe1-48de-9bad-512e27bac9c1\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"20c8a22e-bf48-44b4-ac45-74b80231e773\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_transcript_to_blog\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_transcript_to_blog\"\n }\n },\n \"id\": \"d5bd2477-053c-4954-b46a-607df0a23935\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_transcript_to_blog\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_transcript_to_blog\"\n }\n },\n \"id\": \"d5b8f51f-8904-4039-ab7f-d4cffd717b14\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"42485b1f-2381-4e86-91af-ddbb3b687689\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5fccb006-c66d-407a-b010-a9f7ca49c0d7\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1454b8d0-0703-45e1-b51c-2f9396b4e4d1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'YouTube Transcript to Blog':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for YouTube Transcript to Blog\"\n }\n },\n \"id\": \"a8c23beb-eeb0-45bb-bee8-7d841bf39330\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"YouTube Transcript to Blog\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"333c30d3-f292-497e-af3d-fffa5575fd75\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"YouTube Transcript to Blog error: {$json.error.message}\"\n },\n \"id\": \"f84bd864-69d2-4c78-a3df-e0d4bdaf36c0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "YouTube Transcript to Blog", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to competitor price scraper", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Competitor Price Scraper\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Competitor Price Scraper\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"3658f18f-6ed3-4c14-b12d-9ec7fadc03f9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"competitor-price-scraper\"\n },\n \"id\": \"9b5a4057-4b5f-44f7-aea9-847d23a8f821\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3b015342-843e-40e8-8164-734611f2c7aa\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"3b77afdb-828a-48bf-ab39-5600c4ac8512\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"competitor_price_scraper\"\n },\n \"id\": \"217480ed-2ad6-407d-80fa-0d5284905815\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"competitor_price_scraper\"\n },\n \"id\": \"90ed9d12-3239-48b0-b5a5-23fb2a0172ea\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"68bc4d4a-293e-4252-8a88-486aa3e3cb5f\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3d31e91e-ad51-4967-903f-7ae2c598a870\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"af6568a4-96a6-4b41-8be0-730fb7c0b328\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Competitor Price Scraper':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Competitor Price Scraper\"\n }\n },\n \"id\": \"c0a57592-08d8-4b83-80bf-73b63a29966f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Competitor Price Scraper\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"ff81c3bb-35e8-428d-9ad9-491707d7ee15\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Competitor Price Scraper error: {$json.error.message}\"\n },\n \"id\": \"9f49421e-8263-4127-ad94-e063318685fb\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Competitor Price Scraper", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"GitHub Commit Jenkins\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: GitHub Commit Jenkins\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"5e656fa4-c9ef-419c-b8e5-93b4dd837c81\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"github-commit-jenkins\"\n },\n \"id\": \"faa3187e-7313-474f-b54a-a25790101607\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c5119e77-1c04-4245-9cd2-2f9538fbb8d0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"fa72e972-a6f0-4352-a738-37f9167c5294\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"github_commit_jenkins\"\n },\n \"id\": \"8cdecff9-3760-4347-b0db-d24928bae5b4\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"github_commit_jenkins\"\n },\n \"id\": \"fe3e81f7-097a-4322-84a0-e7d24f7db8e8\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6f4c86c2-e1bd-4ecf-83cb-b2ceb4b73e6a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dace1819-1ddc-4e66-bebe-08fe643516bf\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"91e7ee4a-61ff-479a-acc6-57c7a51a9a70\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'GitHub Commit Jenkins':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for GitHub Commit Jenkins\"\n }\n },\n \"id\": \"3e35e0ca-1355-462b-8f1e-840b1736fce5\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GitHub Commit Jenkins\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"3624b160-adce-4657-853a-bbf8d6948a1b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"GitHub Commit Jenkins error: {$json.error.message}\"\n },\n \"id\": \"9a67ce5b-4abd-4f9f-a5da-5113300ef9ff\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "GitHub Commit Jenkins", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "How would you build: Abandoned Cart Email?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Abandoned Cart Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Abandoned Cart Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"1f91297f-f9dc-49bc-8f96-92814dff32be\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"abandoned-cart-email\"\n },\n \"id\": \"b0c4f170-934e-4434-abbe-6342cd9edc36\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f706155b-01d6-49fb-940f-bc1d7f858569\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"593f3c9c-58fa-4f29-8a3a-8745c7ff7fbf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"abandoned_cart_email\"\n },\n \"id\": \"a7f02c99-3494-4acd-b70e-cd3cca069599\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"abandoned_cart_email\"\n },\n \"id\": \"fb8320a7-7433-4329-b54c-f696059b14b7\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"558a9d97-652b-4e88-bd35-5ed2085625d3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8dce5c28-4831-448c-a578-9e970cf68744\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"fba89352-184f-4f77-8b83-958a9c0715f3\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Abandoned Cart Email':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Abandoned Cart Email\"\n }\n },\n \"id\": \"6ade5738-8ced-40e6-8a24-501cca90ab49\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Abandoned Cart Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"f7cf072c-e32b-4c38-89f0-79584144fd5b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Abandoned Cart Email error: {$json.error.message}\"\n },\n \"id\": \"76275d42-14ed-4e55-aaf8-bd1557c263c9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Abandoned Cart Email", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for inventory slack alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Inventory Slack Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Inventory Slack Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"fd1368bd-bfe5-41c8-956a-7157c20474a6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"inventory-slack-alert\"\n },\n \"id\": \"d44d9365-6e28-403e-9ead-123bfa06de69\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"075a1773-e19a-4f6d-8898-76b4c9b0db8d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f7806342-0e9e-4004-a06d-4f02929951ec\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"inventory_slack_alert\",\n \"mode\": \"list\",\n \"cachedResultName\": \"inventory_slack_alert\"\n }\n },\n \"id\": \"18b389fd-f2bf-45f4-9042-089f27ecac65\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"inventory_slack_alert\",\n \"mode\": \"list\",\n \"cachedResultName\": \"inventory_slack_alert\"\n }\n },\n \"id\": \"da362152-0424-43bf-a373-a683f53e4a75\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"23c62312-3faa-4526-9e41-d4a9a9384d3c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f1af3590-a114-4b63-897a-8961b4c9f97a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"03e57d37-e504-4a9b-8a33-6a82c93485cb\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Inventory Slack Alert':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Inventory Slack Alert\"\n }\n },\n \"id\": \"5966c068-4e76-4c29-9a7a-7594639ef53a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Inventory Slack Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"247d117f-7c88-4f0f-8dd3-53aa6b0a84e0\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Inventory Slack Alert error: {$json.error.message}\"\n },\n \"id\": \"c8395d01-4d77-47bb-a940-f6b4ec9e598f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Inventory Slack Alert", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Shopify Order SMS\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Shopify Order SMS\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"43d4baf6-302b-4141-a67e-df7df86b03e0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"shopify-order-sms\"\n },\n \"id\": \"65c17543-498e-443e-993c-02af712d566e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d091bc86-264b-441f-aca1-21f14aa3022d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ae0788c7-71b3-4c14-9260-eb37e7f0a9ff\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"shopify_order_sms\",\n \"mode\": \"list\",\n \"cachedResultName\": \"shopify_order_sms\"\n }\n },\n \"id\": \"a9decd23-8efc-4c95-b1b0-839196ed3520\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"shopify_order_sms\",\n \"mode\": \"list\",\n \"cachedResultName\": \"shopify_order_sms\"\n }\n },\n \"id\": \"54495b0b-370e-46a9-b5b5-2d9d0162b40d\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6a98c770-fb1e-4c32-a97a-725116bafec5\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"cf97460a-684b-4fb9-a722-05a7ff26bb97\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1d87e1f1-30c0-43e9-9d50-bbf5aa676ae7\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Shopify Order SMS':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Shopify Order SMS\"\n }\n },\n \"id\": \"16053bc3-704a-4649-8088-8af634649f2b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Shopify Order SMS\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"80e6c213-6f3e-4d15-9539-c4999aee3d0e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Shopify Order SMS error: {$json.error.message}\"\n },\n \"id\": \"bdcb167e-b59d-4b53-b151-dfe70f2f28ab\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Shopify Order SMS", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Daily Student Motivation", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Daily Student Motivation\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Daily Student Motivation\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"26995548-761c-41fa-9727-9c1538208723\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"daily-student-motivation\"\n },\n \"id\": \"b4ee6923-9695-4d25-879e-d51682b416d6\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"950769fc-8534-4ffa-9fad-8c9cee196dea\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"ce4e7e23-937e-4177-8f1e-14263defeac1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"daily_student_motivation\"\n },\n \"id\": \"1a53eb05-9c9d-482a-8333-71b326df96cf\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"daily_student_motivation\"\n },\n \"id\": \"6f0f012d-1cd7-42e8-902f-7f8cf0072089\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"5d7acfa3-f322-4676-a6d4-5ac645b1e2ee\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ec33fdb2-eb3a-4e01-8489-6a592afc834f\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"020dfb0b-5272-4ff5-8ea0-10363909cd28\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Daily Student Motivation':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Daily Student Motivation\"\n }\n },\n \"id\": \"32e3b5c4-c532-420c-b350-51def592d5a4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Daily Student Motivation\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"d25ae892-f0e7-4d93-b488-b7c62c9da5b9\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Daily Student Motivation error: {$json.error.message}\"\n },\n \"id\": \"18b62a7a-11c2-48b3-a7cf-cd2d11a95496\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Daily Student Motivation", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Quiz Auto Grader?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Quiz Auto Grader\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Quiz Auto Grader\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"52dc6fbe-f7af-43a8-9226-241e163e6bbf\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"quiz-auto-grader\"\n },\n \"id\": \"f25da8be-15a9-4fe8-b28c-5343b8a88f29\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"62c88abc-3c7d-4fac-9166-2b6d785992f7\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ccd8538c-3116-41de-97bb-77e5ef4e6c70\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"quiz_auto_grader\",\n \"mode\": \"list\",\n \"cachedResultName\": \"quiz_auto_grader\"\n }\n },\n \"id\": \"b28de69a-1f40-4fa8-bc16-62541d526207\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"quiz_auto_grader\",\n \"mode\": \"list\",\n \"cachedResultName\": \"quiz_auto_grader\"\n }\n },\n \"id\": \"ab2f14e2-be2d-4512-88ee-3ebdacc3d599\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"73dd9881-3272-4e9a-a422-edf99d78f40a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3e44774a-5dcd-4e4f-9b4b-94f4fe9ba8cd\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"fdb6fb02-28f6-4bac-8502-699dc8723223\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Quiz Auto Grader':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Quiz Auto Grader\"\n }\n },\n \"id\": \"1940fa89-ede4-4c27-82fb-7678cff0df54\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Quiz Auto Grader\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"a3db64cb-9ea7-4a36-8463-219917f66358\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Quiz Auto Grader error: {$json.error.message}\"\n },\n \"id\": \"94d962e2-f5e4-40a1-a075-96e8e9858b32\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Quiz Auto Grader", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Auto Archive Promotions?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto Archive Promotions\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto Archive Promotions\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"c8c1846b-13b0-4c02-9fe5-4d00953318c3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-archive-promotions\"\n },\n \"id\": \"88b8b314-a8a8-4764-a7b2-ae433e56d008\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8ec45fc1-8df0-49e9-afd6-7feddd280948\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"4980a2e9-1bb5-4754-ad54-427044caa38d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_archive_promotions\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_archive_promotions\"\n }\n },\n \"id\": \"e7ea191b-5779-4f89-8254-1dc72d0d990a\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_archive_promotions\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_archive_promotions\"\n }\n },\n \"id\": \"2692ac89-af93-466e-bffa-81ccc09da686\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"64154d66-1337-4f3a-87b8-f6548cb9b47f\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"eeaa1f48-794b-44d4-98db-18f3b289aa6f\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"6740f1df-ab97-416e-855f-6d521ad89b9e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto Archive Promotions\"\n }\n },\n \"id\": \"8d11beaa-7934-4927-9519-d14d2ea885ef\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto Archive Promotions\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"fcad99f4-60fd-4c33-b12c-78aa0284651e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto Archive Promotions error: {$json.error.message}\"\n },\n \"id\": \"dc986a7b-8dbe-45f0-a73b-6584e5be6821\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto Archive Promotions", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto Reply to FAQs\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto Reply to FAQs\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9346afca-4798-4807-8f7a-b1298919df74\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-reply-to-faqs\"\n },\n \"id\": \"692d46f2-9045-416a-b0cd-8e42fd3230c5\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"83193912-ef89-477a-b6b9-c293b5498153\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"1fb02ad8-15e0-49c7-8271-a9af5c511da2\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_reply_to_faqs\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_reply_to_faqs\"\n }\n },\n \"id\": \"45600a7a-615a-4733-ae13-a394bd19bfea\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_reply_to_faqs\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_reply_to_faqs\"\n }\n },\n \"id\": \"8620fcf8-2067-4776-8f6a-fb896d765342\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4f9229e7-bf9d-4de4-b51e-49aa8553dfef\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d42590ab-e482-416d-9418-9dc595ac9b04\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9b993db0-8564-4ff1-839f-ce059f1d8545\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto Reply to FAQs\"\n }\n },\n \"id\": \"2395d437-ac56-4637-b4a6-4c626f217ae7\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto Reply to FAQs\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"2bc49ad8-7cc0-4cbc-b72e-3ccaa19fb8e2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto Reply to FAQs error: {$json.error.message}\"\n },\n \"id\": \"44f0bf88-3961-4ec3-b965-011224fba8a1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto Reply to FAQs", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to daily email digest", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Daily Email Digest\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Daily Email Digest\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"47d7b2cb-5d44-4625-aeab-33e0b7ce529f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"daily-email-digest\"\n },\n \"id\": \"a079decc-ca6c-4248-b4c9-34deb17c8d26\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8d196219-7de5-428e-8e88-420abfcc9237\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"8c20a8a3-3002-4d4f-b46f-cf859d229655\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"daily_email_digest\"\n },\n \"id\": \"ae6e7c84-9dbb-4ec7-a621-1a1e438941b6\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"daily_email_digest\"\n },\n \"id\": \"f3ba587a-bd11-418d-9998-395164701bd3\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"eed3ad49-c219-4c4a-b420-eff8b6401981\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6622f4cb-bdbe-4c76-9ea0-25cf1e2ce2a4\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"edd62db3-4bfd-4ab4-b4e5-0e038b0beec1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Daily Email Digest\"\n }\n },\n \"id\": \"0e624e84-3f49-49d4-b0eb-a3268f6984d0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Daily Email Digest\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"dbec21d4-50e8-47a6-a920-6da576ebc01d\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Daily Email Digest error: {$json.error.message}\"\n },\n \"id\": \"487c7190-b1d5-4770-b503-ec7ce44ad9ba\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Daily Email Digest", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Follow-up Emails\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Follow-up Emails\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9f233e35-f7da-4e01-9423-5b375143b2b8\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"follow-up-emails\"\n },\n \"id\": \"cb84f658-4d92-43b6-ba38-6511ad71ac6d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fd9c8817-cd20-4521-a501-ddf62864c092\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"86dbd6f8-2249-41bf-8efc-6b93892ff5b1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"follow-up_emails\"\n },\n \"id\": \"f61052dc-bfaa-4aae-aad7-40fdee0bec99\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"follow-up_emails\"\n },\n \"id\": \"6c4053cf-94a1-4a38-9f15-5d6b3cddfc0c\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"b571563d-fc66-45e6-99f0-d5de332b07ec\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bce39b85-50bc-4202-9ec4-6e23a06345b3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1a8964b2-92c9-4aa2-b56d-3e4c4f5fa4c8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Follow-up Emails\"\n }\n },\n \"id\": \"de0333cc-9bb6-440a-9f09-591436941922\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Follow-up Emails\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"bf20f642-7227-4478-aa9b-4c507ca51c57\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Follow-up Emails error: {$json.error.message}\"\n },\n \"id\": \"d7266d35-f67b-48b9-ac50-86b7298d5939\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Follow-up Emails", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for forward attachments", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Forward Attachments\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Forward Attachments\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"15ea4b74-7127-48af-9f59-629bb14a2bd4\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"forward-attachments\"\n },\n \"id\": \"8a67f7cf-b9f0-4c6c-9560-e9d746f29c98\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9bad17f7-55c2-41d5-99dd-ba0fd211777b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"e135820c-3de0-4731-b76b-1ca54b2f6ed3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"forward_attachments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"forward_attachments\"\n }\n },\n \"id\": \"dd4b9606-bfb4-44bd-a9f8-fbdce7127924\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"forward_attachments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"forward_attachments\"\n }\n },\n \"id\": \"fb46a67f-195f-44a8-ae68-383e70e3ca41\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"3ef19169-0bbf-4f8c-a01e-e66d7c8e9c92\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8a4d7ddf-836b-49b9-8a57-d6bf92b44cdd\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"e208345d-1ccb-43fa-ae90-5f90e8d40d9a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Forward Attachments\"\n }\n },\n \"id\": \"06cce445-64df-4a85-a1d0-e5d3960583b1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Forward Attachments\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"df7aa3a4-ff0d-4289-bbc1-c06bcd3596b7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Forward Attachments error: {$json.error.message}\"\n },\n \"id\": \"d59d6048-34a9-481e-b729-51bed8088528\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Forward Attachments", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for lead to hubspot", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Lead to HubSpot\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Lead to HubSpot\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"056c084c-5b6a-48a6-ba89-9fb86bfb9ece\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"lead-to-hubspot\"\n },\n \"id\": \"d53202f1-2095-44db-b12d-450cde7d1dd3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1714cebd-2e6e-461c-97ee-adb767be43ea\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"831ece73-5cea-4505-abc2-138247802af1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"lead_to_hubspot\"\n },\n \"id\": \"dfc452c0-7fbd-4fdb-8f5c-84efc4681695\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"lead_to_hubspot\"\n },\n \"id\": \"ce705b14-0b85-4bdb-bcb4-ada69abcd91e\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"2d2a1930-7e4d-4a08-9917-82c2fe049aee\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"20c8dd61-5a12-4ccc-8706-b29e67284644\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"0c222da2-dec8-4ca5-bb96-164cce3678ca\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Lead to HubSpot\"\n }\n },\n \"id\": \"e627df3a-42af-4589-8597-bc365d08d2db\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Lead to HubSpot\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"17f41ec2-068e-480e-b897-33528e49ac3f\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Lead to HubSpot error: {$json.error.message}\"\n },\n \"id\": \"256bec9e-fb7f-48cb-8811-2a1645af34ef\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Lead to HubSpot", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for mailchimp campaign tracking", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Mailchimp Campaign Tracking\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Mailchimp Campaign Tracking\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"eebc24a2-4ca9-4c7c-8053-42b97cc10da5\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mailchimp-campaign-tracking\"\n },\n \"id\": \"7c08e3ae-6992-45a6-b5a6-574ff186b449\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ac546136-8d14-4a7d-a2d1-193fe6b7cf1a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"5c980081-b726-4ac4-9260-8661cf42f865\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"mailchimp_campaign_tracking\"\n },\n \"id\": \"61e492b9-447c-409c-b7a2-d2a04d8092f5\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mailchimp_campaign_tracking\"\n },\n \"id\": \"177c6403-48a9-46a4-87be-fa747d45a07d\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"a6a5e296-7190-4c5b-8912-231acd71dcb3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"65fd57be-648d-4bfe-90f6-99ba29a87625\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"20f9ac92-c53e-4391-8115-01e68528cef1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Mailchimp Campaign Tracking\"\n }\n },\n \"id\": \"1eb0cccd-e8f5-4891-a400-e4e3e8f7a6bc\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Mailchimp Campaign Tracking\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f714ccc1-8d56-469e-ab46-f15c0d2a1a98\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Mailchimp Campaign Tracking error: {$json.error.message}\"\n },\n \"id\": \"8d5bc20a-0398-4fb0-b40e-bbf6694f7192\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Mailchimp Campaign Tracking", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Build a workflow for: Parse Invoice Emails", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Parse Invoice Emails\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Parse Invoice Emails\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"a9239a2a-4213-4217-acfb-cbc104aad31a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"parse-invoice-emails\"\n },\n \"id\": \"dda8050a-0edc-4b73-92bd-686e48e63e1b\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"50b68a75-9985-47db-8686-9477706474b3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"2f2358b0-a8e3-460f-b5b0-72a194019586\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"parse_invoice_emails\"\n },\n \"id\": \"134a8b92-3314-4397-8b77-1a6bca52a7d4\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"parse_invoice_emails\"\n },\n \"id\": \"ceb03c85-f352-423c-911b-4d30abee397e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"adfd835e-81cd-4afe-ad69-d8e6f78c27af\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7cdd9592-0400-4ad9-9a11-a26367d7cb4b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"c0acfc97-9afd-4f56-88de-7c0e2b1cfd1d\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Parse Invoice Emails\"\n }\n },\n \"id\": \"d2e31148-f0c1-4164-97f9-670bf929a2ce\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Parse Invoice Emails\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"12711eea-68c0-49f7-809e-26f516e2a96a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Parse Invoice Emails error: {$json.error.message}\"\n },\n \"id\": \"91904d0c-429d-4890-b73b-0e0bb77b8ac7\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Parse Invoice Emails", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product Launch Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Product Launch Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"61b01104-d0ec-4196-8d4f-a4d07cd749cd\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"product-launch-email\"\n },\n \"id\": \"7ad673f2-6e28-4d06-b9c6-663a6fde1726\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ae25e008-ce10-4ee7-9fb1-11caf5e12e81\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"45c0d7d3-f8aa-44cb-9424-e08f4e39fbbd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"product_launch_email\"\n },\n \"id\": \"f5bce02a-2fe7-44f9-8958-a83cc9cc11e3\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"product_launch_email\"\n },\n \"id\": \"98bbf1d4-b9de-465c-bd80-daf1a95d31e2\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"7a04f90c-b92f-463c-b680-aababbec2f83\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"92265498-841d-4ba3-a444-250abc4665e7\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"7e5a965d-74d7-4c17-b587-8882ad721511\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Product Launch Email\"\n }\n },\n \"id\": \"ba3f12f2-3db3-46ed-bd42-cabe92f48831\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Product Launch Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"0271fc8f-6af0-4a00-8fe2-4ff50ebedc45\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Product Launch Email error: {$json.error.message}\"\n },\n \"id\": \"c4784deb-12bd-4273-be2c-a7b6e76e28e5\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Product Launch Email", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"SendGrid Bounce Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for SendGrid Bounce Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"33c24c3f-fbf8-4461-b748-983270488128\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"sendgrid-bounce-alert\"\n },\n \"id\": \"a3b0ea8e-7b9b-40d8-b942-857e800281b2\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0e37fa2c-1524-46f4-8809-c469faef23bc\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"bd0a5c1f-6add-4133-9d92-73491a90e45d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"sendgrid_bounce_alert\"\n },\n \"id\": \"f73cb3be-a874-4a02-a997-3953032b3de5\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"sendgrid_bounce_alert\"\n },\n \"id\": \"b21ab497-8f7d-4420-8584-c1ccf7243d63\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"16a0a9d0-3851-46b9-8830-83c3c75a28ac\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ede2aa4c-94e5-4890-ac9e-41d6c24e1779\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"79910783-a249-4d46-9fe8-f8d763e030d9\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for SendGrid Bounce Alert\"\n }\n },\n \"id\": \"8c19f7ba-df58-44c6-8a70-70d747b0e2b9\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SendGrid Bounce Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"adc64b6e-f045-4d6c-a38b-41c33af872f2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"SendGrid Bounce Alert error: {$json.error.message}\"\n },\n \"id\": \"dce8248e-a281-492c-bac7-fca5243ec8e5\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "SendGrid Bounce Alert", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Battery Health Monitor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Battery Health Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Battery Health Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"8e490880-8ec5-4833-87b2-675e5774a36e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"battery_health_monitor\"\n },\n \"id\": \"eae8288b-f1c3-4b83-acf0-733e84ee8f1c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9839c629-fadc-4560-9db3-f3d4f3434b98\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a3f4a4c9-f7f1-41e0-9647-c1f3a98f2aab\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"battery_health_monitor\"\n },\n \"id\": \"f712aa1b-a9c2-4cff-a74c-c60a3839c172\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"battery_health_monitor\"\n },\n \"id\": \"0211e7eb-acd7-4d06-bf54-d86f8f9d2384\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"f0bb0826-cf8d-4585-ad2f-0fd09e9d7bc7\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"30239060-9fc8-49ba-a0f4-a1b7b06d0bee\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"286ce6ac-cc15-4c15-a5d9-c29d36b79eca\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"983b0f02-ff0a-497b-b0da-9152f7e4d142\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b549d047-5e96-4c29-8884-1dfad8414857\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Battery Health Monitor", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Carbon Footprint Estimator?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Carbon Footprint Estimator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Carbon Footprint Estimator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"359249c4-cae3-4ea7-8be6-1ca93d1025ce\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"carbon_footprint_estimator\"\n },\n \"id\": \"d82d5ffc-e2ce-429a-a497-ef3efc2dbc65\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"98755918-b327-4da0-b94c-2748cd224b00\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"af35c17c-cef7-4552-9982-9dd4eb6588af\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"carbon_footprint_estimator\"\n },\n \"id\": \"793b06f3-d60d-4ac8-bf41-43a6ec9afc9d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"carbon_footprint_estimator\"\n },\n \"id\": \"88900446-1262-4aca-aee2-74a92a01382d\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"46dcb071-d2c2-4ba5-b8ab-22ab7c75eb90\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dd965359-b1af-45c3-b3d8-c016b381756d\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d6794330-4dda-4b04-9b11-21ea1af000db\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"1058e490-9641-48a3-9b4b-a9ee9b0b6c79\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"61ac47fc-20af-427c-9db9-ba70c87e527a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Carbon Footprint Estimator", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Energy Consumption Anomaly Detector?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Energy Consumption Anomaly Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Energy Consumption Anomaly Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c18e4640-3b84-4bab-98bc-b70a65723764\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"energy_consumption_anomaly_detector\"\n },\n \"id\": \"a84f44ec-e5cc-4b7b-9dc4-c2bebc16b9f2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"196995f4-370f-4e85-863b-56e9ef67e1e8\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f345618c-ec83-448a-90e5-7166941a3f47\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"energy_consumption_anomaly_detector\"\n },\n \"id\": \"5236bb9d-9a5f-4f96-8512-860b5019bf90\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"energy_consumption_anomaly_detector\"\n },\n \"id\": \"5b4e4dd7-4d72-4134-86ee-ed3309aca576\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c84c0fd1-c002-48ef-b6ab-24aec0a29b06\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b9bf45c2-d96c-48ce-b18d-8abfd8cc0c86\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b1bd3b76-00d8-418c-8d7c-e13bad3e0963\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"9616d716-66ef-4bc2-9274-8312cd5210bd\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2ac39712-36a7-451e-98ed-682294bada65\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Energy Consumption Anomaly Detector", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for ev charging station locator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"EV Charging Station Locator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## EV Charging Station Locator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"b3d4e2ca-a0ca-48a4-a2a6-54ba5cb6d5f1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ev_charging_station_locator\"\n },\n \"id\": \"331111b2-83e7-49e1-ae03-21851b592936\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9441a6d8-459c-456c-b62f-52bf6595a720\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f9c8224f-a498-407d-ac3d-cee3816a0f4c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ev_charging_station_locator\"\n },\n \"id\": \"1b6ee4f1-cf7b-492f-a8ea-fe1b9e084b74\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ev_charging_station_locator\"\n },\n \"id\": \"e0429913-bd7f-44af-ba35-ee3d32a49129\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"6b629abb-0f22-448a-b656-80edf826de4b\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2f4424ae-ed8a-4346-900c-6f1f690a9652\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0e420653-fd49-4fd1-9005-911ece7931b8\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"25da7439-d468-436e-806d-2ab825ea64db\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b88fad4c-d1ca-40e7-93c9-647cf7530eba\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "EV Charging Station Locator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Build a workflow for: Fuel Price Monitor", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Fuel Price Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Fuel Price Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"212807c8-eb78-4896-abde-d45490bc8162\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"fuel_price_monitor\"\n },\n \"id\": \"f007a66b-9a09-4015-bd12-c4372f2a09b7\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f6d6d176-6a82-4a81-ad07-3d8a6f966bd6\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a659d2db-9e31-4109-870d-18aa02ff430b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"fuel_price_monitor\"\n },\n \"id\": \"8f5a00ab-f203-44a7-a0e7-cda4c826ff4d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"fuel_price_monitor\"\n },\n \"id\": \"302ed335-a570-49eb-a5ce-018d5d278b30\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"c7d97d40-d00b-4728-8d15-09e1b67f8798\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6e671170-08ee-4230-a79f-180b8127e72c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a84861c3-3108-4fcd-91e5-f5299311896e\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"00ca9897-6615-42bc-b95e-eff519ad11bc\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3ccbfc3c-1b58-4f3d-bf24-5798c423f9d1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Fuel Price Monitor", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Grid Load Alert", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Grid Load Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Grid Load Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e7633ef7-2eb6-47c4-a3e3-366da7a646d1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"grid_load_alert\"\n },\n \"id\": \"b37be8c1-831f-44f5-8b55-28a9702cc37a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"571fcb73-1c33-4ee5-aeab-2204465da37e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"227d83d6-1a6b-4db0-a46b-ced721ae7904\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"grid_load_alert\"\n },\n \"id\": \"4ddc60fe-82e9-4b8d-ac82-de244497fba8\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"grid_load_alert\"\n },\n \"id\": \"cbef5dd2-7feb-44d4-b205-69146c7d47e7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"61819858-5fd7-4406-914c-351e3352f360\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6bd0a1fe-d0c2-4cff-acba-9bed55adc915\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3a6f67e2-b81c-4aa7-b51e-8c25061dac3a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2fcc10dd-5bc4-4c74-bc5f-f00a6435a321\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8a65e4e9-e2d4-410f-bd42-ac50a8e54c8c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Grid Load Alert", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for power outage sms", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Power Outage SMS\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Power Outage SMS\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"05625788-4196-4761-8f3f-1d225d696bfd\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"power_outage_sms\"\n },\n \"id\": \"9d7f9871-1a5f-49ff-97a3-56e523b40934\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2e3dd33d-75fe-4c3b-8a3d-685e8ae2dafc\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"d11df096-a57a-4369-bbcc-a3131f204a4f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"power_outage_sms\"\n },\n \"id\": \"64a28761-d24c-4d6d-8e62-d89d283f4c5c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"power_outage_sms\"\n },\n \"id\": \"16248ce3-1009-41f2-a192-54f336f8c5e1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"4866877c-7200-4d47-93d2-3a63e22a5781\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e233dea2-2f3c-4f1c-af92-c66076fbcfdf\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"421534dc-7b0a-4f34-97ec-86def7643e00\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"426a8449-96f9-402a-96b1-0737ca4f6673\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d4be02b3-2423-4009-8d78-982e5821ba13\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Power Outage SMS", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Renewable Incentive Tracker", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Renewable Incentive Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Renewable Incentive Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f1933d66-47b0-47ae-97bd-9758c0fc67da\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"renewable_incentive_tracker\"\n },\n \"id\": \"d9b07644-9ed1-4ef6-a1a8-bef841c713df\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2e3b51db-80b1-423f-a678-77b92f51744d\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f3262437-ea70-44d2-91d2-82bb3f1317e9\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"renewable_incentive_tracker\"\n },\n \"id\": \"6be2eab5-54fb-4e38-941f-e62239677943\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"renewable_incentive_tracker\"\n },\n \"id\": \"43557f2e-e085-48ba-9bde-2af079657529\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"6f1095a2-b123-41af-b597-349dee988a2b\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"696d20f9-bb8f-4efe-830b-0d1eec4b47d6\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c16f6c5a-4cb2-4fdb-a5e8-539b517974af\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ddea133c-b2ff-4a7b-8483-b1b9c002bedf\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0085ea5e-4ea5-4f90-b541-3deaa4c2bb2e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Renewable Incentive Tracker", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Solar Output Forecaster", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Solar Output Forecaster\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Solar Output Forecaster\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"0cc41add-c576-4eb2-a577-ba341538b4aa\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"solar_output_forecaster\"\n },\n \"id\": \"7a6895ad-c973-4829-abb3-52764e18563e\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"4ab8e749-2da3-4702-aa03-92781f013c88\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2861dfd6-4500-4e90-b346-e67aefc38723\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"solar_output_forecaster\"\n },\n \"id\": \"bf0938ce-55ad-4563-b3ec-dbf0a747004f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"solar_output_forecaster\"\n },\n \"id\": \"b3bb38c2-2d38-4938-be90-9a9adfe1918a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"184775d4-7184-4c41-b8de-cc8c402c57c8\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac64a220-22bf-4f5e-a59b-20b19efb0869\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"287861be-36e0-4424-9971-44020897bd2e\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ea57fd07-1636-4dc0-835e-904f6952caad\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3d0a2489-f2f0-4787-8548-4f040a5836c6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Solar Output Forecaster", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Wind Farm Maintenance Scheduler\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Wind Farm Maintenance Scheduler\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"9c8f8a11-cc71-43f1-a71b-db88184ff09c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"wind_farm_maintenance_scheduler\"\n },\n \"id\": \"e2a690b3-9bf8-4e9c-82aa-ee390f53f58d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9c9b29ed-2898-4035-b7e1-51e6772de2a3\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"1820f73b-76d4-4597-9ee9-7188a2c45ce7\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"wind_farm_maintenance_scheduler\"\n },\n \"id\": \"579a5cc0-4687-4d99-b379-9fd6085db105\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"wind_farm_maintenance_scheduler\"\n },\n \"id\": \"1100222d-8cb0-402a-a726-b6a77b6bdbd8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"d256077f-23e0-4b0a-a15d-c37b724380e4\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"59b38520-1e17-48a4-8a07-d829d76594ef\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"78e9d735-34a8-4562-9173-75df6f9d105d\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"db27c3e8-2164-4105-8900-03356d4bada3\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d8018a30-fafb-4134-9c5f-fa3dcbe84fab\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Wind Farm Maintenance Scheduler", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Currency Rate Monitor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Currency Rate Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Currency Rate Monitor\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e6175cfd-e193-423d-9bbd-fc7119684f7a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"currency-rate-monitor\"\n },\n \"id\": \"80b80c82-20c3-4174-ad9c-611f3261b0e5\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7fd033de-1f84-44c7-b067-c3d3e9b08b72\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"1fa4d8fe-1214-4fa9-8534-7c0f0d5d8531\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"currency_rate_monitor\"\n },\n \"id\": \"42ee78dd-c790-4e3c-8732-4e2395b1a9b6\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"currency_rate_monitor\"\n },\n \"id\": \"0d13f988-4d82-440d-ac56-bb8e225d9be1\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"7c645977-36de-4c85-9615-b76a72dd9882\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"521025ae-08c9-48f9-b3ea-8eed7859c340\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"bf695dd1-f69c-4be6-a2d7-27951a948b1c\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Currency Rate Monitor\"\n }\n },\n \"id\": \"c83a7b48-e374-4d2f-832e-3929bab00308\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Currency Rate Monitor\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"931647ba-372d-46b7-810f-76ba4087c0b5\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Currency Rate Monitor error: {$json.error.message}\"\n },\n \"id\": \"59e59fd4-268f-4c56-a034-b1a32e5f4115\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Currency Rate Monitor", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Monthly Expense Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Monthly Expense Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8728dad1-36d7-4ed0-8162-7622f31b4bc1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"monthly-expense-report\"\n },\n \"id\": \"7f107229-acbb-4195-a5cd-b0f97bedc954\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a7b02852-85a2-4048-bf05-64106a5aa1b3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f8683870-d2ea-4541-a98e-994f04327170\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"monthly_expense_report\"\n },\n \"id\": \"1eec63a3-ddfd-45d0-be4d-6533cf8e3dea\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"monthly_expense_report\"\n },\n \"id\": \"8073feb4-b770-45b8-84e1-76c37e332e1f\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d68e93b2-d64e-42d5-9782-364c5e43e148\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"925a8cad-26c0-435f-9e94-6a037380f9f2\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ad4dfd87-e12a-43d0-959f-31df79dbc0f0\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Monthly Expense Report\"\n }\n },\n \"id\": \"a9f139f6-be27-4aec-9ca3-51ff754c9036\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Monthly Expense Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"12ca3491-606a-4229-b392-705431a87aff\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Monthly Expense Report error: {$json.error.message}\"\n },\n \"id\": \"3af6e41f-e4c2-4bd3-92ae-4c8a7b27e495\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Monthly Expense Report", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Ocr Receipts To Notion?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"OCR Receipts to Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for OCR Receipts to Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"c04dfa5c-bb11-4b59-afff-6186fc96a740\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ocr-receipts-to-notion\"\n },\n \"id\": \"59a9fd15-53ab-4c11-ac79-d2a41441cf2f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"17092410-c43e-411d-9c9f-26e049276ae0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"60598051-e62a-4be1-8868-f5c19ea8978e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"ocr_receipts_to_notion\"\n },\n \"id\": \"4645c3ee-90cb-4320-86f3-d7c3f712a036\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ocr_receipts_to_notion\"\n },\n \"id\": \"6387ad1d-32fb-4575-9dfc-dfc90d2cb25c\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fef3c58b-321a-44d2-a9ba-86a7bc58acf7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7bdab29d-ad62-4e40-87e7-fd13cd2cec3e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"30f1d449-b35d-45a9-80c2-ba136b48a93e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for OCR Receipts to Notion\"\n }\n },\n \"id\": \"d5adb725-61aa-4ecd-83ed-ada1ab0f9669\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"OCR Receipts to Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"696adffa-2c85-461d-876a-dd880b9b38e3\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"OCR Receipts to Notion error: {$json.error.message}\"\n },\n \"id\": \"efc8ed2e-3e85-4bf4-b1e8-cab2a3e2135f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "OCR Receipts to Notion", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for paypal to airtable", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"PayPal to Airtable\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for PayPal to Airtable\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"4dc16bed-a5fc-41a8-879d-887e7cd668f2\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"paypal-to-airtable\"\n },\n \"id\": \"e98d9b01-45dc-42d5-96bb-f33ad31c2a4c\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9e156c78-d969-43b0-8c47-29be47d9e374\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"67173cd7-c563-4e20-894f-4a3bb2a3154d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"paypal_to_airtable\"\n },\n \"id\": \"3273daeb-1fef-4975-bf30-11fe790b7a93\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"paypal_to_airtable\"\n },\n \"id\": \"8319e3d9-ee3c-40d5-9afa-4718d3c475e3\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"16b3f51c-6036-4e62-a49b-d83ce62bc770\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f3e97b45-2c73-47a2-b969-37fe5cbce0e2\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"141626f4-bf31-4c63-ab83-bde6d05dc0eb\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for PayPal to Airtable\"\n }\n },\n \"id\": \"ae1ef58d-8ed5-4ffe-bfe4-804a2fd16095\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"PayPal to Airtable\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"c68be0fc-19fe-4e45-8c3d-3ce101e1634f\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"PayPal to Airtable error: {$json.error.message}\"\n },\n \"id\": \"3e058106-dd19-44a8-91a3-3aef71622480\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "PayPal to Airtable", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Stripe To Quickbooks", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Stripe to QuickBooks\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Stripe to QuickBooks\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"516d2d75-bad5-47a2-9aae-441c2e47505a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"stripe-to-quickbooks\"\n },\n \"id\": \"b336b0e9-75c9-476e-b708-eee49a79782a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"aff09b5e-ab9c-4906-876c-be1cbd49bad3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"28798bcc-42c3-405f-becd-dd9e2628fbec\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"stripe_to_quickbooks\"\n },\n \"id\": \"ebb44e83-73d5-48b0-9458-cbb4dd5db829\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"stripe_to_quickbooks\"\n },\n \"id\": \"dda295d6-3267-468b-b6c9-4e0dae2d3953\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fad24949-758c-4879-8fe1-2965b81c835c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"36927cf2-4dc9-42c0-b427-2893e5982a85\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"87360d8c-11b2-4293-9213-83525a4ffc48\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Stripe to QuickBooks\"\n }\n },\n \"id\": \"6a6e8043-e4ba-4b17-8815-5d14adc8f33b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Stripe to QuickBooks\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"b6300c02-0a43-4cc4-8079-7739e8b51a37\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Stripe to QuickBooks error: {$json.error.message}\"\n },\n \"id\": \"4f848ea4-b5cd-4594-b598-cfff98863583\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Stripe to QuickBooks", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Transaction Logs Backup", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Transaction Logs Backup\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Transaction Logs Backup\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9bc96e9b-a90d-4467-8844-c0d49825c7bb\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"transaction-logs-backup\"\n },\n \"id\": \"654ee7d9-bd77-47eb-af47-5afb9b1f3023\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fbb3ef99-38e6-4ee3-a317-71af8cb06801\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"cfb733fc-6bb8-427b-ad37-926693691ed8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"transaction_logs_backup\"\n },\n \"id\": \"86365712-95aa-407f-b156-877d6ee5b412\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"transaction_logs_backup\"\n },\n \"id\": \"a1085404-bc57-46c0-9ffb-375a66ebfb92\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1442d4f0-eefb-4beb-862a-6569b22b7ef3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4d59d819-e2d1-4cfb-997a-04e6cc18b15c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"bc9f2e77-61d1-4fd1-9069-fc07906f004f\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Transaction Logs Backup\"\n }\n },\n \"id\": \"94397527-356c-43da-9827-265d1e38c4d4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Transaction Logs Backup\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"015110f6-d107-4061-9de1-4f7e77248256\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Transaction Logs Backup error: {$json.error.message}\"\n },\n \"id\": \"22011e33-1522-40c5-b752-6e1a6b8f5372\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Transaction Logs Backup", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Unpaid Invoice Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Unpaid Invoice Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"38637b48-7d7d-4c0d-ae2d-7cb9049435f0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"unpaid-invoice-reminder\"\n },\n \"id\": \"c105161c-2c3f-4167-859c-63a03f8e2dfc\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2089eb99-b5f6-4c05-aff4-d9542c42657f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"c5937246-c89c-4972-965d-4e8896b02679\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"unpaid_invoice_reminder\"\n },\n \"id\": \"d64450ce-5760-4160-9074-580eb285342c\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"unpaid_invoice_reminder\"\n },\n \"id\": \"0c5c8d79-8348-41d6-bf34-45ea812fa19e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6c05df42-540f-410e-a3ac-938d6babf6b6\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"238d800d-1c62-4d7b-bf8e-a58985c7365a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5461d55e-4235-45fd-b392-7abdfa189fac\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Unpaid Invoice Reminder\"\n }\n },\n \"id\": \"86a7198b-5a78-4801-9e4e-70d8a69856fe\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Unpaid Invoice Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"dc0da3ae-a80c-4d70-afbc-d48094d6a80c\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Unpaid Invoice Reminder error: {$json.error.message}\"\n },\n \"id\": \"00c44887-0061-4fc1-afe3-21a150cb4c04\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Unpaid Invoice Reminder", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to weekly shopify sales summary", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weekly Shopify Sales Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Weekly Shopify Sales Summary\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"48cbb971-b7f5-439b-9ff7-51e48fe8cd99\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weekly-shopify-sales-summary\"\n },\n \"id\": \"986a4dbf-6fd1-468e-9404-891be5d7e982\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fe85f7f9-ec98-496c-9623-73934248c4dd\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"91db179a-59d3-4335-a3f8-5a1767283536\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"weekly_shopify_sales_summary\",\n \"mode\": \"list\",\n \"cachedResultName\": \"weekly_shopify_sales_summary\"\n }\n },\n \"id\": \"12e2e6d8-9882-4e5e-958d-1a5263f3d498\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"weekly_shopify_sales_summary\",\n \"mode\": \"list\",\n \"cachedResultName\": \"weekly_shopify_sales_summary\"\n }\n },\n \"id\": \"86e1304a-cb0e-42ae-a608-576468de3977\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1b99ec18-874c-4238-947b-4208a7187782\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f57ed2d1-31f6-48e0-9d49-a34d828a2b21\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"8bd35d96-4b86-4db9-8df1-3e1234a598b6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Weekly Shopify Sales Summary\"\n }\n },\n \"id\": \"339b9829-f9ab-4521-a6f7-d57972f5960d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Weekly Shopify Sales Summary\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"913c3b44-b464-492a-9214-d9dc1952c96b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Weekly Shopify Sales Summary error: {$json.error.message}\"\n },\n \"id\": \"7e04b6aa-2c81-4491-8383-48f48f5e47d5\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weekly Shopify Sales Summary", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Achievement Suggestion Engine\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Achievement Suggestion Engine\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c96103d4-51c2-42f4-82d5-d0bd2af062d8\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"achievement_suggestion_engine\"\n },\n \"id\": \"1175ffe4-4776-423f-8eb2-5dce08a0445c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"95aeda47-eb80-4bfd-99c0-6cd0d83a715c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"d9d3258d-5d35-4923-b611-d8086ab232cc\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"achievement_suggestion_engine\"\n },\n \"id\": \"55111748-5efb-46db-908a-fd7914cbf036\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"achievement_suggestion_engine\"\n },\n \"id\": \"d9ff7e38-2a25-4e64-871a-a94d58371171\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"7a6f5172-4f12-4b00-8baf-9820c9ad87d6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"17ab029f-1a33-4086-86c0-c6ff909b8252\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4c89e15d-45a4-4b94-8a63-051d26949d9a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"5e68d55b-ba2f-4f99-985c-7684dad69661\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"448f14b3-ed84-46a3-b79e-c7ffea9d6e5a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Achievement Suggestion Engine", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Discord Guild Welcome Bot\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Discord Guild Welcome Bot\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ec3eca3b-c927-44af-b076-ae454a5f9dba\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"discord_guild_welcome_bot\"\n },\n \"id\": \"75348d7e-59f5-42ae-aec5-5a993247cce9\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8f3d6c06-6b07-4e1f-b6c1-881c2201c307\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"9b97ff7a-ad0c-4783-a805-5306ac065a18\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"discord_guild_welcome_bot\"\n },\n \"id\": \"90aebcf2-d80e-4dda-8ff1-c9cb21daef88\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"discord_guild_welcome_bot\"\n },\n \"id\": \"98d03e4f-c7a7-4fbc-a740-f0f96511ad26\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"98d3ad26-70f6-4ba9-bbd6-ec4c429fdbac\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"07ee96a3-d9fc-4a9a-84b5-967dd9dce86b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"63bd3f99-bedd-4c2a-a372-e3a3dfdf13f7\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2182a66a-8f6b-4ab5-a204-b1d2a193b540\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"bdc65bf0-04e8-454f-af89-365318979a0b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Discord Guild Welcome Bot", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Esports Match Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Esports Match Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6310f924-d4ae-4b99-9961-f746e39e8504\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"esports_match_alert\"\n },\n \"id\": \"a36399b2-06a4-4892-96e7-54897ce51bf7\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2ee4b993-b61c-42f3-8c07-f065c7f30e47\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"31e6d7bc-5a8f-4407-93e6-acd9fe557142\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"esports_match_alert\"\n },\n \"id\": \"1cfe2b7f-5a8d-40b3-adf0-07f5ee9fed7f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"esports_match_alert\"\n },\n \"id\": \"165da07b-3bdc-4729-ba0c-6ff306dcb546\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"4472053c-dea5-4f7c-94b4-3dc37a225ece\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"311218df-9cc4-4a9d-97f0-4ac4ea56911b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c1c80c23-a023-486a-b8d2-ba5b40d44531\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"90e08579-d2df-41d9-a31b-8090a1faa28d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0c24574c-9152-451d-860e-341111854174\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Esports Match Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for game bug triage", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Game Bug Triage\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Game Bug Triage\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"612f743e-c25d-4e98-8ff9-d47509fa3160\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"game_bug_triage\"\n },\n \"id\": \"6b59ea05-a9eb-4f44-86ac-fad9a5d06c03\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3d9bb844-8044-487e-aa18-b0906bdd60da\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b5e08fe3-3fed-461a-a1ae-790b5102ec4a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"game_bug_triage\"\n },\n \"id\": \"68f45664-544b-442f-90fb-019764004836\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"game_bug_triage\"\n },\n \"id\": \"423e4cc0-9a68-4c54-9843-2b766ae74d7f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"ac7b2168-9854-4a03-a22d-79373953fa91\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b4c2838f-d6bb-482a-a1ce-c56f9a245616\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b074d534-0ec7-4de0-b893-cee3b0d2d107\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6bccf3c4-b931-40b5-bcd5-123cde3f75a8\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"fdbe4ecc-f6c7-4231-b322-540dd189927c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Game Bug Triage", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"In‑Game Event Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## In‑Game Event Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"05e37943-784c-4ddc-8262-b11b4468bc02\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"in‑game_event_reminder\"\n },\n \"id\": \"cf9be310-57eb-46d2-907b-4cae771a3615\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3f688c0b-aef9-4ba0-ba98-91440c225d7a\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"7fe4aa59-daf3-4ef5-87b8-3ecf0567eb3f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"in‑game_event_reminder\"\n },\n \"id\": \"ea24c452-2bc9-473d-a463-11bf4132d687\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"in‑game_event_reminder\"\n },\n \"id\": \"63554c27-4c70-4de1-b59d-4521cc425dd3\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"9677d2a5-4086-4bb5-b36e-97679a403867\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9fc4da5a-e1ef-4ca3-af95-0d0e8abb55a9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0c8df9a6-0646-40c1-9e18-1987dd78dcd6\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"bec14d78-ad61-4970-9843-27481b10540f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"274ee856-100b-46e4-bd83-2fff3cb5f31b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "In‑Game Event Reminder", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Loot‑box Probability Calculator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Loot‑box Probability Calculator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"10177083-abfd-4dfb-af1b-2106fb3721ef\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"loot‑box_probability_calculator\"\n },\n \"id\": \"d1ecc7b8-8cfd-4f23-9a74-a1f5d1775909\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"23945b52-8d5d-43ff-9183-6512a3936b76\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"08cf7a60-f6a0-4714-93dc-be3a16055184\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"loot‑box_probability_calculator\"\n },\n \"id\": \"4e39cad5-f719-4bdb-9a99-8263eedbc50b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"loot‑box_probability_calculator\"\n },\n \"id\": \"251b65f4-aca9-4211-86b6-0095359a9b62\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"fed3a403-e464-4464-ac3a-d49443483a32\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"08d85102-f42e-4b58-8735-d380d3d2892b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"664762ed-3246-452e-ab65-7e02266e8015\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"e2e2ae6a-e151-4eae-8539-8c3692cdd6e2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f5088167-5c6c-4c3b-9797-8eedcae0b487\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Loot‑box Probability Calculator", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Patch Note Summarizer?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Patch Note Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Patch Note Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c27cc49e-4006-42ec-a921-ab82af3e62c3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"patch_note_summarizer\"\n },\n \"id\": \"cf75146f-eea9-4d9a-b35e-cfb8c9174f7a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"87336512-bbfe-45e5-a621-ce1abf7d8dec\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"308d899c-0dfa-4536-8521-71a5e9e0f41e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"patch_note_summarizer\"\n },\n \"id\": \"2d180980-fb6c-4f7a-b8a8-8c7119778073\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"patch_note_summarizer\"\n },\n \"id\": \"13a5f3e5-f066-4e4e-a80f-f76980d6c31e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"9d435a7e-1141-48ff-ad18-ce9003c95523\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"23f27a06-bfff-4638-860e-9de0f7fef563\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8de2d6aa-9202-4396-b07c-66eadaf57214\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2b88cbe9-c0ce-4a18-b3fc-4732ae63317b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"4297adae-ff27-4e7f-8acb-1db68dd6dd3d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Patch Note Summarizer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Player Sentiment Dashboard?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Player Sentiment Dashboard\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Player Sentiment Dashboard\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"08d2f64f-2d62-4cc5-8e58-1a3df6e0bec5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"player_sentiment_dashboard\"\n },\n \"id\": \"7660675d-b017-4664-8e77-8f484ebb79d3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"259f1438-ba36-415d-aecd-2c29e5bcc7f9\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"387e2d11-4a5c-4746-ab16-1f02f259dc50\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"player_sentiment_dashboard\"\n },\n \"id\": \"77c8793c-3bb1-4b1a-a97c-78b09dd40404\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"player_sentiment_dashboard\"\n },\n \"id\": \"f30b5682-283f-4965-a015-9c59b2c57244\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"bbf150df-d5c6-4718-87f3-d3cef4de523d\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"77313ee4-2a1a-4753-aec1-c695b26d8cba\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5cfc5070-7792-443c-b379-f9340b52ca82\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"092416ca-4b94-4e1a-aba1-1207ad738cc0\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"e2c744d7-2804-4ccb-9da4-a18363c03ea2\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Player Sentiment Dashboard", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere to twitch clip highlights script", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Twitch Clip Highlights Script\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Twitch Clip Highlights Script\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6a478cad-2f39-49c5-9830-d6715c75294c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"twitch_clip_highlights_script\"\n },\n \"id\": \"0e483bae-054d-47ac-aa7f-65323632eee0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ecfc0bb9-ea39-4bba-9042-a81b03de6e4c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"81b98f96-46ba-4ba9-81ff-105ab8ecef5a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"twitch_clip_highlights_script\"\n },\n \"id\": \"b3eb249c-5439-4c43-ae38-5ffe74d2d516\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"twitch_clip_highlights_script\"\n },\n \"id\": \"24aec2d4-deec-4c2e-a5c6-b6710093d81f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"b2ab6e7c-fe8c-4aa6-b0ed-8f97a868ee5a\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1203c718-aadc-409f-aa2c-157fd8e87786\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0f4e595a-d49a-4b27-afd7-c7e66a4fd6cb\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"36fd7800-f2f5-4ccc-8883-6ed4314b4ea2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d154a778-2ebe-4958-aa3b-15fd0e7be287\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Twitch Clip Highlights Script", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Virtual Economy Price Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Virtual Economy Price Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"03c385a9-f85e-46f2-99c5-edfc3ebe5f64\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"virtual_economy_price_tracker\"\n },\n \"id\": \"b9d11a12-4c0d-471a-91d4-a857fe118639\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8b967de5-7ccc-4e8e-aae8-84fa426bf639\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"7591fec5-1472-408c-b2e0-6d285c1f3a9b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"virtual_economy_price_tracker\"\n },\n \"id\": \"a0114631-6544-450d-8ca6-acaa2d57885e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"virtual_economy_price_tracker\"\n },\n \"id\": \"48427b20-35b3-446b-9907-eda2b6c54e43\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"8b4c4bf6-bce5-431f-869d-bf630b48e781\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ce17efe7-6ef0-4070-a0d8-ded8fb62c3ef\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"38f20990-6c11-40ab-b9a1-c7d2910220c9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"fee37507-5a90-4d39-aa6a-fdb3aef13837\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"399e3dcd-6632-4763-b023-3847ce6239a9\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Virtual Economy Price Tracker", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Public Form Auto Triage\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Public Form Auto Triage\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e0def9b7-b982-4f66-a122-b34b179250f3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"public-form-auto-triage\"\n },\n \"id\": \"a0436c8f-07eb-4c7c-91cf-f9888c44193e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"17992f44-ab0a-49d6-9af3-6a7902095bcc\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"8cf651f3-f660-41e0-9ae9-abe5e283e1be\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"public_form_auto_triage\"\n },\n \"id\": \"c1637ef3-6857-4a30-9e39-ca400c2519a8\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"public_form_auto_triage\"\n },\n \"id\": \"495ee105-e54c-4540-b696-04c163d09829\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"247453d7-9638-4db4-987d-0d1ce438494c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac140caa-fa42-4aaf-aa9e-2115ad365eef\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"eba04ff8-c343-4e2c-b1c9-2223884dbd38\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Public Form Auto Triage':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Public Form Auto Triage\"\n }\n },\n \"id\": \"95e729d9-2c88-4bee-bc5c-cbdb6fac41b8\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Public Form Auto Triage\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5d3ce3ed-4222-464c-a3f3-d6681a5db5c2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Public Form Auto Triage error: {$json.error.message}\"\n },\n \"id\": \"41fcce2f-8ed2-48b1-92bd-ff2f9d38e337\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Public Form Auto Triage", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Public Record Email Update\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Public Record Email Update\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"65bf7968-6074-4fd8-997a-c656568960c0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"public-record-email-update\"\n },\n \"id\": \"904357c4-6656-445d-88a8-1d6080ea17eb\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"cac96f44-3e7d-4066-9faa-edce57b3005d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"13cb39cf-a65a-44b7-baff-bb6b0635e185\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"public_record_email_update\",\n \"mode\": \"list\",\n \"cachedResultName\": \"public_record_email_update\"\n }\n },\n \"id\": \"85f4bc98-c83e-4769-ab45-60b673f4dbc1\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"public_record_email_update\",\n \"mode\": \"list\",\n \"cachedResultName\": \"public_record_email_update\"\n }\n },\n \"id\": \"4ed05d0a-ef6e-420e-8389-891f87042bff\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1e527452-6ed5-4cec-a774-da238fba63c2\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"36a9bb22-5c37-4ca3-8297-02eef5bcc9f0\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"7cef2b87-47e1-4431-84a8-a79139267bc5\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Public Record Email Update':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Public Record Email Update\"\n }\n },\n \"id\": \"65e68b55-903c-4988-a9b5-27e41ca2ca0a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Public Record Email Update\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"a1d9802e-caaa-4b0d-b41e-d0139ad7b5aa\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Public Record Email Update error: {$json.error.message}\"\n },\n \"id\": \"7e69d511-d41d-4553-b2bc-8aaa4a3d1754\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Public Record Email Update", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"New Job Application Parser\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: New Job Application Parser\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"355dc5d9-e675-4948-ac07-e2372746beac\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"new-job-application-parser\"\n },\n \"id\": \"5a292fdb-55a6-4b6c-95cb-918e2f5592a1\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"53900c40-00b0-4e87-98cf-de274ce1fddc\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a3b1c492-f0ec-4275-a656-765170f336db\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"new_job_application_parser\",\n \"mode\": \"list\",\n \"cachedResultName\": \"new_job_application_parser\"\n }\n },\n \"id\": \"cfcd7174-0670-4521-a3d0-f166637355b9\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"new_job_application_parser\",\n \"mode\": \"list\",\n \"cachedResultName\": \"new_job_application_parser\"\n }\n },\n \"id\": \"2a452b2b-edca-4ab6-87a5-a9cb33ca4473\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"3f39c7db-4b74-452f-85c5-1221de07d7c8\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c3cf7b90-7202-47b1-a2e3-e1f2c74eaa33\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"3cd3b436-538e-470c-89e5-e8776258c498\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'New Job Application Parser':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for New Job Application Parser\"\n }\n },\n \"id\": \"a741b715-3e97-445a-8c1a-f5c8ce5cf2dd\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"New Job Application Parser\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"8d1a3c8a-520f-4e56-8120-7b54029bd828\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"New Job Application Parser error: {$json.error.message}\"\n },\n \"id\": \"1b63bca3-2e7f-450e-80ef-f5cf18df53f1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "New Job Application Parser", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Notion Job Board Poster", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Notion Job Board Poster\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Notion Job Board Poster\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9935d8e0-c8e8-47df-8d22-f18fed6cc35f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"notion-job-board-poster\"\n },\n \"id\": \"c7202964-f164-4e73-952f-e6cfb216df5a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"698758c3-6ec0-4a98-ab25-77ad28d1a86b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"00faf696-bcee-45d6-925c-5789d6f33d04\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"notion_job_board_poster\"\n },\n \"id\": \"c7d38489-d3fd-4f35-95e9-8fa1de802baf\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"notion_job_board_poster\"\n },\n \"id\": \"b3b46858-b322-4702-86f6-c6bfc0116a39\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c664c632-f102-413b-92da-8ad22e070251\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"88bf4c86-8a9d-4b78-8965-3aabe394cac3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"90778f34-c1c9-4506-b105-6463d7e170cd\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Notion Job Board Poster':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Notion Job Board Poster\"\n }\n },\n \"id\": \"d0df09be-eb92-4de4-a038-8c488ee4d1fa\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Notion Job Board Poster\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5eb58bc2-9cd5-4e71-a456-4a64541d3179\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Notion Job Board Poster error: {$json.error.message}\"\n },\n \"id\": \"f495a132-6e2f-4d8b-b978-1cb312b7934f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Notion Job Board Poster", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Appointment Whatsapp Notify", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Appointment WhatsApp Notify\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Appointment WhatsApp Notify\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7d42a8e4-d9e6-46c6-b4b2-c489c79c3bf3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"appointment-whatsapp-notify\"\n },\n \"id\": \"9f460db0-3b15-45a4-a04f-24ec690273d3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ea6552ef-ebcc-4c99-9348-78a9b4f2ad2b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"d919f86b-a52c-43ca-ac8c-b6dbf1ccbbcf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"appointment_whatsapp_notify\"\n },\n \"id\": \"74081a07-d962-455e-b685-11d29c9e67ad\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"appointment_whatsapp_notify\"\n },\n \"id\": \"7fda199c-926c-43ec-a604-972e82c7c0ef\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"069d2f87-d2ab-422e-ad9a-cb9d28562d17\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0920c840-2c14-436a-8fbd-d4a53300cc05\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"de83e37d-fe22-485d-8e38-8795be4284d9\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Appointment WhatsApp Notify':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Appointment WhatsApp Notify\"\n }\n },\n \"id\": \"1b33a7d5-ea1d-4e8d-9a8c-d70165f468cf\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Appointment WhatsApp Notify\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5cc56f79-87d1-4926-8548-9ee1e8a60ffb\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Appointment WhatsApp Notify error: {$json.error.message}\"\n },\n \"id\": \"25d22e2e-dc95-424a-b6e6-f5e9b5a889f9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Appointment WhatsApp Notify", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Ble Beacon Mapper", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"BLE Beacon Mapper\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## BLE Beacon Mapper\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3c047bdb-1988-40c3-9387-7f3cf850ecbf\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ble_beacon_mapper\"\n },\n \"id\": \"9521a2f4-988b-4356-a645-f74e96199d91\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c93b923e-630f-4794-86bc-c6a46dd75448\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"427efd54-920f-4c11-bcb6-e8fc8b2b06e8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ble_beacon_mapper\"\n },\n \"id\": \"72d8f04d-916a-4968-83ef-c59d3285235a\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ble_beacon_mapper\"\n },\n \"id\": \"ade1889a-c995-4adc-9729-80d02173f265\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"30a123d4-b21d-4078-8a9e-42cb0755f62f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"690e6a80-9e31-43ee-b9df-a64412709646\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8defd2b1-fc7d-4c45-a7ac-21535c4c9698\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3202946a-2f52-4bae-bc6a-c0039a966396\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b02fb6fe-bf01-46f4-a771-068e91eed04f\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "BLE Beacon Mapper", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Edge Device Log Compressor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Edge Device Log Compressor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"21a7ee40-e9a9-4f5d-a642-a4ca0bcd2173\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"edge_device_log_compressor\"\n },\n \"id\": \"71b01e81-30c5-41a2-ade1-17d6f5d801ac\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fb59524e-9794-4ce5-9344-48f41f93791f\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6bc51683-3627-43ba-b92d-80f431f18471\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"edge_device_log_compressor\"\n },\n \"id\": \"8c1ef0c2-1c1a-4dfb-a108-191146a74718\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"edge_device_log_compressor\"\n },\n \"id\": \"0ebd5f21-b97f-4f2e-aefc-8b5bbe80f2b9\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"1fd3ed50-a888-40db-a2f7-1e7f3969ed11\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dca087fe-c0c8-49d6-a6ba-cac29c1a705b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7b812666-e822-4f6e-9096-fe03376736a7\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"160f7edf-c21b-4e16-9ece-288aed8f04f1\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"77e495a4-073e-4594-b624-cedd0cf335e4\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Edge Device Log Compressor", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Environmental Data Dashboard", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Environmental Data Dashboard\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Environmental Data Dashboard\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3205b068-2be2-41b8-8c68-dd13763c1ae5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"environmental_data_dashboard\"\n },\n \"id\": \"bc0a6e3d-4271-4dae-90ea-dca965836eea\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"38e51c92-e2e2-44c6-a049-4ac92e5a66e7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"0077ebd2-9261-4d49-b438-55074c052c7e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"environmental_data_dashboard\"\n },\n \"id\": \"baa7b6a8-8fb1-414a-85a0-e3b37f4f6e61\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"environmental_data_dashboard\"\n },\n \"id\": \"5e3a8e25-d4ba-41d3-9395-274cba83266b\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"934c019d-96b9-49f0-b82d-40732f8c2929\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"57841262-7445-43ec-8250-b14bb6ff4f85\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6984dd15-9475-4307-a4dd-b105226a21c6\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b33b5784-70d6-4be6-beba-907780cc638a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8da77c27-26fb-41af-bf1d-fd90703ebe0c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Environmental Data Dashboard", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Industrial Iot Kpi Email?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Industrial IoT KPI Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Industrial IoT KPI Email\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"943b1bcf-e3db-4693-b7d6-fcd06a9b1ddc\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"industrial_iot_kpi_email\"\n },\n \"id\": \"ed65e9c1-189a-451a-a353-86ae9e6fa985\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3bb8b68e-b814-43fc-9236-f2e0615f43a1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"65454d4a-94d6-4cd5-8b7d-52424158e0e4\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"industrial_iot_kpi_email\"\n },\n \"id\": \"8a1213d2-7cce-42c4-9106-3e4838896c7b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"industrial_iot_kpi_email\"\n },\n \"id\": \"67f16894-cde9-4e15-96b2-4305dacb5184\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"96f6af1b-3417-44ee-a761-9b8ea00bed43\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"67cb649b-99d6-45f6-9278-7874202dbb04\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2d8679dc-3e72-4b30-a3e4-33a991dad6fa\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d1330858-7779-4352-b088-a8571b2556a4\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"dd69a3fa-4c57-4425-b609-1598a7583db9\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Industrial IoT KPI Email", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Iot Device Firmware Update Planner?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"IoT Device Firmware Update Planner\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## IoT Device Firmware Update Planner\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f55f7659-b41d-4789-9858-cd6d8d9651d5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"iot_device_firmware_update_planner\"\n },\n \"id\": \"c39e47c8-e198-41e9-a7f6-108e475c70a9\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1ecb126a-db25-4f0d-a8f6-fdf1004a6cc4\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"3b65e37b-20e8-4197-aa20-480c8e9fbef9\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"iot_device_firmware_update_planner\"\n },\n \"id\": \"a1b9893a-4cc1-42b4-b042-2695d3aeb538\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"iot_device_firmware_update_planner\"\n },\n \"id\": \"dfd60aa1-5c21-474d-89e0-79918ce5e7c8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"4378f4fb-739d-4a63-a6f5-6f7c14d38e56\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1585288e-aedd-48c1-bca4-5f34ae5b26d6\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2a969ef6-359e-428c-a6bc-3484cf659355\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4e224ecc-d3fc-4e5e-a233-a17f2ebd49e6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"e78fdda8-9964-47cf-a22d-a20cb2731cb6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "IoT Device Firmware Update Planner", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Mqtt Topic Monitor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"MQTT Topic Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## MQTT Topic Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"5491692b-63b3-463e-982f-ac8b2af8888a\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mqtt_topic_monitor\"\n },\n \"id\": \"67b89ca6-7381-4b63-be6a-a609764f40a8\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"642cab7e-89fd-484b-ba14-5a4955f68bad\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"20d6b7c2-8757-4487-88a2-9192c863320c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"mqtt_topic_monitor\"\n },\n \"id\": \"99a15bd4-8347-4415-9146-763365d9e53d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mqtt_topic_monitor\"\n },\n \"id\": \"dd310d8e-19b5-46af-8fa4-80e08ba16414\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"ba010ae7-0e63-4b06-970a-838d7dc3b833\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"99da297c-57c7-469e-8c1a-2ef1c8e77464\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e07b1578-30c7-41ca-9786-302b53b1da34\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d6ba7bb2-c36d-4087-a1a7-8557ce2cbd57\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a3b5ecb2-5cdd-495c-bd3f-f8fa00d5c15a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "MQTT Topic Monitor", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for predictive maintenance alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Predictive Maintenance Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Predictive Maintenance Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"2e0e493a-869a-4247-969b-201fc42e19cf\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"predictive_maintenance_alert\"\n },\n \"id\": \"f3fb69e8-a018-443e-9fc9-ab5f54df0198\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"975ab9e6-e924-4225-ad2f-ab71e063b744\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2f19b9f0-eea2-41d7-af0c-7d40898f7369\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"predictive_maintenance_alert\"\n },\n \"id\": \"d64985d8-e50e-4010-9511-534318b2fcb5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"predictive_maintenance_alert\"\n },\n \"id\": \"4bb2206e-2811-4ffd-a7d9-066dcab52bd0\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"fb950c91-9101-40dc-a975-e674cbd6d2f0\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b7435da7-5ef7-4c2a-a024-6e97d698da8b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"295cf4fb-3340-410b-879e-2bd1ef0a2233\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"0a77e315-a75c-460e-a902-33367c2983a7\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f6f6a1fe-b857-45e7-a9f7-b0d9e5edac61\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Predictive Maintenance Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Sensor Fault Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Sensor Fault Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"933fb344-a3db-465a-9180-9f742f470c01\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"sensor_fault_detector\"\n },\n \"id\": \"62b1f78f-c8ce-4766-9164-3895a7d31588\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ea4be8e1-da41-4042-b288-f27936963d59\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e733728d-8780-43d1-a2d3-fa2a6362617e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"sensor_fault_detector\"\n },\n \"id\": \"299528ab-7894-4d2b-9f1f-cb820e0f98eb\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"sensor_fault_detector\"\n },\n \"id\": \"cb7e2015-bcc4-4da4-80f2-f46b9b1b1775\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"b4a7d93d-22c8-4541-8af2-4ebc7b13c21d\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d48bc886-eab1-434f-9e2a-6f1355c5624e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b6b37d40-7254-4a81-aa96-379f5dcbe314\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d9dd3f66-e25b-49c4-b8e6-08bccdd8252a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"1270cb5c-4b3d-4c8c-b55e-dab01d2c13bf\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Sensor Fault Detector", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Smart Home Energy Saver\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Smart Home Energy Saver\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"45bd46ac-74e0-4bbb-8325-f773e0dfea25\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"smart_home_energy_saver\"\n },\n \"id\": \"87f961b3-05e1-4ee4-88a6-a144b2557efc\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"42425853-cd36-46a4-a210-d7e28e0e6eef\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2c71e763-3236-4d24-9c31-e2fc6e5a5418\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"smart_home_energy_saver\"\n },\n \"id\": \"1c3ee001-f218-4c0c-a5a5-ff2fae933778\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"smart_home_energy_saver\"\n },\n \"id\": \"b7d0bc10-6b09-4a7a-8d16-f092a116f2a1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"ef6500b2-66aa-4393-ad1a-fe20b5f34f00\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ce595de2-4059-4bd4-9b3f-1a225cbd453f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5cd95ffd-f322-4c3b-b799-e6a9a8012ef1\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b2e6ba7e-a99e-41d5-9471-b70f36c8080e\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b7acd595-f3a0-46d7-ab7c-a9d18072e2cf\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Smart Home Energy Saver", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for vehicle telematics analyzer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Vehicle Telematics Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Vehicle Telematics Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3a428bea-5b5d-418d-aea3-6702e195eaff\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"vehicle_telematics_analyzer\"\n },\n \"id\": \"cc171ef1-366e-450c-b8c0-1f4be0cc100c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"236b9d8a-fd92-4525-b6e3-89eceaee9826\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"49a5217e-b9dd-4c9d-a05e-e117cbc2f4a3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"vehicle_telematics_analyzer\"\n },\n \"id\": \"af19e123-7ee5-4628-88da-affa9ea417c9\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"vehicle_telematics_analyzer\"\n },\n \"id\": \"d8b469f0-7927-4406-a3d7-c2695db16244\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"22c4c0d5-c147-4c3d-82db-7d48d8238bb1\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5cd9b107-b5dc-4429-8fed-ef0dbeecd22d\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"17e82f20-81ce-4a16-826f-3021958e3c5b\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b2493e79-03b0-446b-a21d-f6e80acfe401\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b0e6955f-7d88-44f3-adae-41b5920328f0\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Vehicle Telematics Analyzer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for case law summarizer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Case Law Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Case Law Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"006b4ac8-2240-4377-8187-c75ea40decd4\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"case_law_summarizer\"\n },\n \"id\": \"227c2cd5-dac0-4605-ad24-ece826a73ecd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0a8ac20a-08b4-42d4-b262-d5ff3c038f00\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"63a3c905-3d2c-4abe-bf0f-495545792f87\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"case_law_summarizer\"\n },\n \"id\": \"892173fb-f931-44d9-9e1e-134c71ec790e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"case_law_summarizer\"\n },\n \"id\": \"4f1f0bf3-db65-4714-9f4a-da40a9e379dc\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"d5912b1d-60d5-4b91-851a-915fb49b1ae9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b7fd299a-99b0-4ae0-bda0-fc77583f869e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"16c7cd0f-ad11-4869-940e-13d321d445b5\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"e5198aee-0eeb-40dc-9b5b-113a423049dc\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"fc62655e-9611-4eba-a44e-63f56903c218\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Case Law Summarizer", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Compliance Checklist Builder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Compliance Checklist Builder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ab247f10-1d2f-4ac7-9f3c-f35aa6a45322\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"compliance_checklist_builder\"\n },\n \"id\": \"7ef9aaea-8153-4413-a674-f681a326ffb1\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"4ff381cb-094c-42ce-82a3-8f611f2968d5\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"61a3b700-34fc-48d7-a048-98a0c35a4a62\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"compliance_checklist_builder\"\n },\n \"id\": \"2b5fa4fa-460b-4adf-8f51-43d891442d08\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"compliance_checklist_builder\"\n },\n \"id\": \"37fe1e14-70a0-48a0-ba7c-eb3187ecd42a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"e5e90acd-e873-4d68-b864-8854563e2d25\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"43595b29-5265-416c-9c15-c2e3d411dbea\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"89461d4a-bd10-4f14-97f4-182053640dee\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"a14a872e-78ef-43f2-afd1-cad697bf4b53\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"4719e718-aaba-4e5a-9592-e6e3d702af12\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Compliance Checklist Builder", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Contract Clause Extractor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Contract Clause Extractor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Contract Clause Extractor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"1bda7454-93fe-405b-a456-4586cfb756ed\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"contract_clause_extractor\"\n },\n \"id\": \"566f27e4-26bb-466c-9503-4fadf291f227\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f1c5db12-a8f8-4d23-b50e-8e4b31142ece\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"78647328-096a-40e6-875d-764a277977a8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"contract_clause_extractor\"\n },\n \"id\": \"3fb26948-57ed-496b-91e3-c65592ea2fd6\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"contract_clause_extractor\"\n },\n \"id\": \"828831c5-57b6-4c94-8eb0-4086a2c07f90\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"34820e0b-bb70-4098-9ed0-36ae1a8ac092\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4032a3d8-27c9-44a4-a0c2-a4be30e15375\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8533ad0d-28c1-4549-8347-243f4dc1f4e2\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"8326aa20-f9e9-4ac2-8a4e-618d54a8d415\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"96b4b7cd-7fb8-459b-acd4-55f0ebf6a431\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Contract Clause Extractor", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Court Date Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Court Date Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"75f8bba3-cdac-49f4-958c-091e3f00eff1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"court_date_reminder\"\n },\n \"id\": \"800a0793-5176-474b-9409-46e9ed2335fd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d523e39f-0587-4194-bcbe-73d7fb8c4710\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e223a14f-cfa8-4596-a461-643f82d535a0\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"court_date_reminder\"\n },\n \"id\": \"0eb906db-e355-47b9-a187-23abd759ec4f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"court_date_reminder\"\n },\n \"id\": \"5790086f-eb04-4057-a244-673d5c82b0b1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"59f47e52-aa3b-4fb2-aeeb-fad955199e01\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a447e312-fdfb-4dba-ad30-1c769b7bb5f9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0a4d9093-4b14-4d71-b2ef-4c77ede6ba67\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"36483213-c958-44c1-bbe8-c6ff0190cdea\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3ca8afea-ed24-4c79-ab93-2a66559c5c73\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Court Date Reminder", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Gdpr Violation Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"GDPR Violation Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## GDPR Violation Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"13db2523-d8a9-418a-8fb6-39eb8f9a938c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"gdpr_violation_alert\"\n },\n \"id\": \"700b2651-7de4-44d3-8edd-1ba1715d75d0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"162820ba-9f6b-44fd-b643-702de3b24640\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"01048ba2-ede5-441f-8a1a-5ab9b671c55f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"gdpr_violation_alert\"\n },\n \"id\": \"f2328451-15d8-4966-8e9f-e24b3c94281f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"gdpr_violation_alert\"\n },\n \"id\": \"09b39daa-8057-4fc5-8b76-217e606d2821\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"6cf4aad3-8e0c-4198-8770-94ac862b4a63\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c27394be-9f34-4a0d-84c0-e1b1b3391dfe\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"53ea4a74-a3ad-422a-9e1b-8318187645b4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3e48de94-a0c7-46e0-834c-d4b1db1bbb10\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2b80ceef-994a-48fc-af35-9cf75d38d5d1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "GDPR Violation Alert", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Legal Billing Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Legal Billing Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"164bdbf2-41c3-45eb-bfd1-e9883575056e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"legal_billing_analyzer\"\n },\n \"id\": \"b38e9cdd-f84d-4437-a795-a121d7068aa4\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"db367606-6d33-40f8-b444-abae8a3ca3b7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"20005f64-43e7-418c-b554-217fdc33f783\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"legal_billing_analyzer\"\n },\n \"id\": \"83ab1232-057a-4364-8701-61de2cadcfb8\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"legal_billing_analyzer\"\n },\n \"id\": \"c0ee51c0-13ff-44e1-91de-c8135ba8adf5\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"cdd3e489-ceff-4005-b0d4-0fae7cd7cd9c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d8954456-98d8-4689-9f12-d0f106406d93\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d60d4651-1d00-44cd-ac40-70097cb4dcf9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"243ea0c7-fbab-4686-8610-7c20d1be90d9\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b52301e6-4650-4333-a9fd-d73d845f494c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Legal Billing Analyzer", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"NDA Risk Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## NDA Risk Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"623f0f39-6ae9-4fbe-8d0d-b3436dc257e3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"nda_risk_detector\"\n },\n \"id\": \"e49461a4-0769-4188-9b92-fe21b42df652\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"75634d4b-5829-40eb-b94f-39a3cec62398\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"505940aa-8b4b-4480-9cb8-827413127240\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"nda_risk_detector\"\n },\n \"id\": \"f587ee36-1078-43d2-bcc4-8b5cf712ec14\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"nda_risk_detector\"\n },\n \"id\": \"bcd0263d-70e7-4448-a03b-5dbf2219334e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"1e08d4d4-07eb-49c4-ac96-9a218e63e8ea\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5d54e2b7-2cac-4be6-8f88-0eef2bc8981e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"61ac3b74-d520-4777-a88c-0e5bea059266\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d0996ab0-d491-47b1-87b5-9746bd8177e6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"e32daeb2-39e5-4b1b-bf51-f8995831e076\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "NDA Risk Detector", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Patent Abstract Summarizer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Patent Abstract Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Patent Abstract Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c46b424b-d86e-4c42-a5a7-3655c7402881\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"patent_abstract_summarizer\"\n },\n \"id\": \"c3f0c87c-f25d-48ba-97b0-c8f8d23d4a31\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"eb7d7959-2c75-4bca-aab6-744235f38650\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"978d6786-ee2b-453f-8da7-49ead3bc09b5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"patent_abstract_summarizer\"\n },\n \"id\": \"b81e39e9-dacc-42d8-81ee-aa51b860be8f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"patent_abstract_summarizer\"\n },\n \"id\": \"63f9c0ae-b4d2-4d73-a80a-7585608eec23\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"a2dd0f08-fa8f-4188-96fb-531000f5e12f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3815af2a-00a6-4f4a-9736-933be6e8da1c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5a852eb7-f25a-454c-8599-8bd711420cc2\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"dcfd6e97-44c3-41af-ada9-effc257a4547\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"607bbfe5-07e3-4ba7-a726-c8115e464868\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Patent Abstract Summarizer", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for privacy policy generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Privacy Policy Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Privacy Policy Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"31e645b0-8ee3-40e8-a573-1040118a5143\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"privacy_policy_generator\"\n },\n \"id\": \"3e941cdf-4a90-4efa-af28-ec642a8f8a87\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"81a454cd-5ab3-401e-a2b7-cead2a15a4bb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b71432b3-21ba-4306-8001-a31e0af001c7\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"privacy_policy_generator\"\n },\n \"id\": \"777057ee-9417-482e-99a0-2a776c2f7d8c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"privacy_policy_generator\"\n },\n \"id\": \"8a41fc40-5104-4dc9-8135-e5df98abc240\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"6a80f6a1-9344-4f08-8f21-b3840154a068\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9c06dcd4-2ae2-4a35-8d5c-c97bcd5fee44\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"40b92744-a890-48d4-bc8d-812a3307b0b9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"5057fff9-4817-4b2c-81ce-6fa38eb239e5\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"fc4d57c7-5ed2-45ac-85c6-a3ef52307eb6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Privacy Policy Generator", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Trademark Status Monitor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Trademark Status Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Trademark Status Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"998e7582-8d6b-490b-bc4e-d54e4a9c41f5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"trademark_status_monitor\"\n },\n \"id\": \"864d897b-1356-48d5-88d5-5b92c9665383\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"27b13a4c-dcfc-4994-a7bd-7855d79122df\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b7b766a7-90f0-4bd7-8d72-8b9e1c16cefd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"trademark_status_monitor\"\n },\n \"id\": \"83fd04e1-05d8-4af0-a3e7-37c317475f44\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"trademark_status_monitor\"\n },\n \"id\": \"3a5c2851-baa5-4f08-a9c6-8c2a4f991fb0\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"1695a6cf-a47c-40cb-ab04-3900b9178759\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"98484ada-e60c-4ce9-806f-18033f24a073\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4a6adf35-41a8-4aa1-b2cc-9e4bec883092\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"355afdb1-5e4f-4a38-a554-ae2196d3336e\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"833c5c4d-7e71-4721-b9a3-2e9cef344d79\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Trademark Status Monitor", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Inventory Restock Forecast", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Inventory Restock Forecast\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Inventory Restock Forecast\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ac566dcd-c0d2-4372-8051-781b370f674c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"inventory_restock_forecast\"\n },\n \"id\": \"2d43525f-7454-4ce8-859e-e7bed92c5fc0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"cef71770-0f4a-4828-ab22-2aaa40c05ea1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"3889670e-02f8-4036-b112-8823a85ca32e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"inventory_restock_forecast\"\n },\n \"id\": \"3020d48f-fc21-4a54-aeeb-d6eb2b085e3c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"inventory_restock_forecast\"\n },\n \"id\": \"8a167018-3252-4f18-bf8a-5aa804b5130e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"787db856-58e5-45ff-ac8c-cebcf7dc3956\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"835aac59-6306-41bd-a4bc-dd876821753f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"671822b0-56cf-4372-8fc9-90358b8828c4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"e838e95b-8049-49a9-8e2a-1ebcb049e620\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c4790e4b-9655-4763-8b3d-8de11e39d567\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Inventory Restock Forecast", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to machine downtime predictor", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Machine Downtime Predictor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Machine Downtime Predictor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"7f896bbc-9cf1-42d1-ba8f-61405b20a4a4\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"machine_downtime_predictor\"\n },\n \"id\": \"ffc4bbb9-85fe-4960-8fa3-53a88cafde52\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ad450e26-791c-4d9a-89c5-ad5661c3a9b5\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c4062ad2-7672-47c9-948a-25f89de261c1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"machine_downtime_predictor\"\n },\n \"id\": \"dec7b9a5-bd2b-43e7-8a18-1f2ec7d1d3e0\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"machine_downtime_predictor\"\n },\n \"id\": \"fdeb45dc-c7f0-44f2-bfb5-52718a9abf83\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"1ff47a2a-8135-4328-9142-d2693f9a5a87\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"43b53e28-45ff-488c-9b44-dd8abdb2e76f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"24047441-486e-4d22-b380-70e80a8f6e0b\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"67fd1430-77da-4792-88ef-91f28201c0f0\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"924da3ec-fbe7-49a9-8494-154c2cd0dd67\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Machine Downtime Predictor", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for maintenance ticket router", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Maintenance Ticket Router\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Maintenance Ticket Router\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"a8e9ae12-6e04-419e-afa6-116c1a10d76f\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"maintenance_ticket_router\"\n },\n \"id\": \"7ea5312f-5044-49e0-b612-b6ed0112460c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"71c6f636-5ba2-4544-b453-d9640912a9bd\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"709a1603-39fa-48f3-a08f-73c1a9bf1526\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"maintenance_ticket_router\"\n },\n \"id\": \"04f0955a-0e59-4ea7-92cf-b90a615336df\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"maintenance_ticket_router\"\n },\n \"id\": \"b7f91301-61e2-4fe8-8f77-dc2277a454ef\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"ce697dc0-acb9-4021-b7fc-d6139474aec9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c3963d5c-5d2a-406c-aec6-4945ee68e5ac\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7be46161-3cc9-46ac-b8d8-569822cdf806\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"9f436112-17d8-4b32-9386-ff8c05ca90fb\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2650eccc-cfb2-45a3-b6b7-947eea05ab73\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Maintenance Ticket Router", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Mes Log Analyzer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"MES Log Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## MES Log Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6a578e19-1308-4a5c-b6f6-6ebd3710b6e3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mes_log_analyzer\"\n },\n \"id\": \"39d4b641-9f59-4642-832e-79022bf495c7\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e3946bf7-7e37-46ad-8866-b336d591139c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"257bb0cf-c4c3-4ec5-a8fc-cc7af8cc82d8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"mes_log_analyzer\"\n },\n \"id\": \"191047e8-a373-4f4d-89f5-d4befa1e1488\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mes_log_analyzer\"\n },\n \"id\": \"e5aceb69-fdc8-4ecb-bb40-9595579f44d1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"69bf896b-cc84-4c27-ac84-53c42df7675c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2dfcbeaa-32cc-411f-9804-33dbdc2cc1ff\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"22d5fa52-e851-4158-8b68-0bc099c7b712\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4b278a48-c97b-4720-8248-7e16a59e8a97\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"59f09444-e08f-4545-b83a-6e3113298e1c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "MES Log Analyzer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for packaging waste calculator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Packaging Waste Calculator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Packaging Waste Calculator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"88e3435d-f3fb-4c59-8d58-9b77e3be201a\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"packaging_waste_calculator\"\n },\n \"id\": \"0ad8c1ff-f8c3-4f5f-b478-520d16b80a52\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7b704aa1-fae7-47f3-a349-69816e88955b\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"4ea8a51d-11e1-468d-873b-49c1388dc62a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"packaging_waste_calculator\"\n },\n \"id\": \"c6262742-2db3-4867-a7b2-2da95e864ab6\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"packaging_waste_calculator\"\n },\n \"id\": \"4abcef2c-3080-43d4-b263-b851c675f519\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"6a8f2151-9319-4e77-b763-2c305e569d62\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0e86b5c8-3448-444e-997e-3daa84164744\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4b4b54de-3c2d-494d-a5bd-0f3a6f776526\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"deee5056-77f7-4e3a-919c-82f3ac955f90\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d474b14f-19f5-476c-b6a7-d3991067091f\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Packaging Waste Calculator", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for production kpi dashboard", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Production KPI Dashboard\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Production KPI Dashboard\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"4d9a4134-cfe0-4c29-98ea-3c7eac4e8f4a\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"production_kpi_dashboard\"\n },\n \"id\": \"7a5aee0a-9d7c-467f-a01a-da27537e21a2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"37a3414f-2139-49df-ba08-3a7044c793f7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"816bca35-5ac1-4d76-80c1-0f16c7b66bb6\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"production_kpi_dashboard\"\n },\n \"id\": \"a07fff59-42d4-46b7-9ad6-57816f0837ec\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"production_kpi_dashboard\"\n },\n \"id\": \"3e51ab47-497a-4ea4-8b87-a65904181599\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"0cec7a66-e61b-4c9e-baec-d38b1817c10f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3dc5cc76-b483-44b3-95e9-4eab8f02d843\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6dc6d399-7dbe-4131-9d46-052da979cc5c\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6d698856-e255-487c-b64d-ed9bfd21fe2b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"84a285d5-4bd6-46d2-9853-ce07ad7bdf07\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Production KPI Dashboard", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Quality Defect Classifier?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Quality Defect Classifier\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Quality Defect Classifier\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"4a9d63c7-08b0-4bd7-86c7-118becc5c9b2\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"quality_defect_classifier\"\n },\n \"id\": \"53bb395f-3072-435f-b051-f691b4954435\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"91f92b79-07e8-41cf-9d1a-92115031674d\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"44867b78-b164-4010-8732-f6dc7d391d87\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"quality_defect_classifier\"\n },\n \"id\": \"5b3fc67b-c039-4bc6-b2f0-4bd0c58602dc\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"quality_defect_classifier\"\n },\n \"id\": \"e607b51e-a06b-4614-8714-0ba803cd2031\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"67f74799-bb90-492f-b04b-defa516e02cd\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"39f3db21-6d42-4cce-b2a4-203fbecbe5d8\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"18899540-a96f-4e03-a08e-ecd68c4215d4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"f36eea46-81b9-402a-8936-e80d6638c7a2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8ca4e3aa-29a6-4a1e-89d4-d627007a3a85\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Quality Defect Classifier", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Safety Incident Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Safety Incident Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"acd052ce-d3a1-4e61-baa3-45cd6f793aee\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"safety_incident_alert\"\n },\n \"id\": \"1deea699-1774-435a-90f6-69f08d5a6931\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"422f3b21-a6a6-4f42-99a4-639edfeb9b5e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"20df8766-9812-46f6-a460-6dc78be50f81\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"safety_incident_alert\"\n },\n \"id\": \"45b8c485-9062-44d5-8580-2f7873405375\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"safety_incident_alert\"\n },\n \"id\": \"52766966-69f4-4e89-ac3a-2eb770a04adf\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"4edf8626-ea38-48b1-ab95-ecabf977ce86\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c04e95e7-b775-4be6-817f-c3c54bb7c0fd\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8d56875b-ebe1-4d6e-bc84-d34ce77f5e06\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"39891a6f-af82-47f1-b8de-809e45a2e91c\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"41ecc052-0431-49a5-8508-826db972109c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Safety Incident Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Shift Handover Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Shift Handover Summary\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e21b4c7b-8945-458d-84f5-edea8d605c63\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"shift_handover_summary\"\n },\n \"id\": \"2032944d-a397-42e8-a145-3ce85fd48e71\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"024c6eb0-bce1-40a9-8fff-2027c229258e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"61a509e3-ccec-4223-831f-3244d7ab5cd3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"shift_handover_summary\"\n },\n \"id\": \"b47689d7-8679-48da-b9a3-ca2afcc4f597\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"shift_handover_summary\"\n },\n \"id\": \"ed7830fb-184a-474f-8bdd-2fae0383012c\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"b06cfa77-8233-42b3-86ef-f53a19fbd2e9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e2b1b8d0-d4fa-45b2-9b3a-e08dd662e595\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7ddd3795-472f-4f4e-a81f-b562179ef0b0\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4603bb8e-7edf-4dea-a8c3-eb7ed7f38233\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f05a9bdc-cd55-4e0f-9e02-a1b9af498cb1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Shift Handover Summary", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Supply Chain Delay Monitor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Supply Chain Delay Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Supply Chain Delay Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"9df77f37-dd97-4dea-8ab1-0ab3a5e29489\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"supply_chain_delay_monitor\"\n },\n \"id\": \"d179203c-413b-425f-be6d-82a645642ba2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9b94fc8b-644c-4569-8449-35157c58aaa1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f232e6de-527b-47e4-b961-dd360903cd61\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"supply_chain_delay_monitor\"\n },\n \"id\": \"169f701d-3475-4451-b727-1f485145307a\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"supply_chain_delay_monitor\"\n },\n \"id\": \"3a1c0d2b-3115-4c2b-9243-c4c4a89c0ab7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"813e73ba-ca9f-45e7-92c0-761a78a8f2d9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6126e963-632b-412e-b06f-09dc807001e8\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b6b6f472-4a00-4b7b-9e35-a8b79ae004a3\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"adcef2d0-b2f7-4c3a-93d3-22eb92c84f81\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b1552509-063f-4144-8f96-9de975b85c06\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Supply Chain Delay Monitor", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "How would you build: Ad Campaign Performance Alert?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Ad Campaign Performance Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Ad Campaign Performance Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"b9d822c3-5472-4e62-ae22-da1dcc48da68\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ad_campaign_performance_alert\"\n },\n \"id\": \"6915be1a-2020-44fd-a1a9-03729618e0f4\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8fa9fd45-56ed-4335-9cd6-da422c296469\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"61f0b264-c6da-4340-adb2-4b2dfbf79c25\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ad_campaign_performance_alert\"\n },\n \"id\": \"8d44d896-ea7a-4c50-b6fe-752f40708d99\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ad_campaign_performance_alert\"\n },\n \"id\": \"a448c986-5c7d-419e-961b-a7a798325d9f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"9f02801d-d8e4-4a70-a219-ee8b2bc80dde\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"924d810a-70de-4310-8abe-4d7f7eed8e23\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"68c84590-c0d5-4b5d-8976-56afb248ece4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3ffa4018-e220-44b4-b7da-725aed7bcfae\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"92e93140-2890-47b1-8736-1be9a2322275\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Ad Campaign Performance Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Breaking News Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Breaking News Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"1c60dfda-ff6c-431b-8200-9b6c34adc1d9\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"breaking_news_summarizer\"\n },\n \"id\": \"ae2530ec-60d3-41b3-a0a2-7a18071f6330\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"89dee8a0-3133-4c1b-a4b9-aa2fc194949b\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"29f16a9a-1f38-4713-ba9c-215f8259cd88\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"breaking_news_summarizer\"\n },\n \"id\": \"45eefa2e-cd65-44a2-8597-1090e59b131e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"breaking_news_summarizer\"\n },\n \"id\": \"6e5733ea-2827-4e32-a683-c61ef69fea40\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"34c6f9f4-68a8-4d58-a5f3-bd8fc98456f2\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a2f1be61-44ce-4729-bcae-1e436fec6495\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1be3574f-87ea-43ad-8a1a-742bbabbf2fc\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ab963c4f-2d8b-4f66-a7e3-3f9d4ec07612\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"728c2329-b3fc-4864-a4d5-e46a04502dcd\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Breaking News Summarizer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Content Idea Brainstormer", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Content Idea Brainstormer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Content Idea Brainstormer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"bb42db96-13a5-44e7-af1b-e6e11b76cf74\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"content_idea_brainstormer\"\n },\n \"id\": \"e6c6bc62-818c-46b8-877f-ae4c812daa94\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0b4c4b2a-b95e-4080-b908-5851357ed0e2\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"14ad7f23-10af-41f6-ab29-37f382175fc3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"content_idea_brainstormer\"\n },\n \"id\": \"4b787c22-2dca-4c15-9572-0ff8991d2220\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"content_idea_brainstormer\"\n },\n \"id\": \"10f96194-129a-4ce5-9657-23301c80bfe8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"8ef28b27-506c-4ac2-b816-65ac3d702ddc\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"68b965ee-3149-4632-9f2e-0d918944d13e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9504e336-55bd-42b9-afd6-78b0fc0be206\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"5b9c91e5-ccd0-447c-b14e-1409738a3a2c\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"43f9428f-3874-436f-94c5-45e5a692d696\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Content Idea Brainstormer", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to live stream chat moderator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Live Stream Chat Moderator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Live Stream Chat Moderator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"0477641f-1ff4-4ac3-aac2-244c57a4b6bd\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"live_stream_chat_moderator\"\n },\n \"id\": \"8c9bf83f-1b91-4b43-8ea6-c023f73625e9\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fd0a3c84-6227-4b9d-b465-36e21b1251cb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"4caeff08-3ead-42c1-b9ac-6aa5f8e0eb78\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"live_stream_chat_moderator\"\n },\n \"id\": \"bd57b1a0-b6b9-4c9e-b2e6-a02a352d2cc2\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"live_stream_chat_moderator\"\n },\n \"id\": \"29975a1f-52a0-43f9-bf8f-3024d8d204a7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c2be4d8f-bf26-4f91-8086-d91b053fd030\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"730c0f23-e800-453d-9443-e0cf6aa11324\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"822318fd-aae5-4013-bf4b-1dbd3427f23f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3b0f82a6-f252-4493-b48a-c936ad1163b2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"7cd9388a-03bf-4b50-91a8-be337e97bee8\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Live Stream Chat Moderator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Music Playlist Mood Tagger?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Music Playlist Mood Tagger\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Music Playlist Mood Tagger\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"35c5ee28-e623-49f7-91d7-0ae7530044d3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"music_playlist_mood_tagger\"\n },\n \"id\": \"1c071a41-d513-4b60-9c81-e54213c9337e\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f8f1f9b7-57ea-4ae5-8a19-c498acbc9e05\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a879123d-930a-4259-98b2-7e994b3bb7b0\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"music_playlist_mood_tagger\"\n },\n \"id\": \"fb0c0220-4fcd-48ff-b217-b7a90763ea93\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"music_playlist_mood_tagger\"\n },\n \"id\": \"8874d67d-b3d7-4f97-ac3f-3039c275203d\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"8bda0fad-cf73-48ee-86fa-49c7126589e6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"50efd5f2-0b34-427a-98c6-8eecd851877f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bca987be-2cb1-4f84-8185-d0cf02dac038\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"abde755c-7ac6-4269-91fa-bbbbce0370ba\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"866c78a4-8df7-487b-81a2-f0e50dc22c2a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Music Playlist Mood Tagger", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for podcast show notes generator", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Podcast Show Notes Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Podcast Show Notes Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"db0d0a37-0a6f-4e1f-9348-3a251bd7aca6\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"podcast_show_notes_generator\"\n },\n \"id\": \"8eb22c68-2e1a-4bb5-94db-363df07692b3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"da5e4956-b820-4091-b83f-ab2468c08f8e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"660508cd-d632-4e93-973e-5e7242cb123a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"podcast_show_notes_generator\"\n },\n \"id\": \"6a99b507-ba03-4696-b932-ec53815cc338\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"podcast_show_notes_generator\"\n },\n \"id\": \"1054a795-1000-4d02-8726-23bc4a624c01\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"a9aad1e2-da5f-4845-ac93-c6970b4403e7\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e151b7c2-9167-4f7d-8747-cde886f42c92\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6716f412-12b8-45e7-b388-bde3977ffd6a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6fb42ba0-e674-492a-8657-342f68d44665\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d4f71f10-2c90-46a0-a10a-b3b60fc18cac\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Podcast Show Notes Generator", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"PR Crisis Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## PR Crisis Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"51e4daa8-b45b-4ae4-96fe-2105f1999677\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"pr_crisis_detector\"\n },\n \"id\": \"01d0bfb2-001d-451e-ba33-1da3c3294f0f\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f654bb12-4c8c-452d-981f-b6effb15296f\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"696b4bad-e80b-4942-bd49-e151946f3d2c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"pr_crisis_detector\"\n },\n \"id\": \"5c7f4d37-57c1-48db-9892-5919bdd40f34\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"pr_crisis_detector\"\n },\n \"id\": \"8a661be2-e7e6-4e37-8414-5487209e95c2\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"31c589e0-6733-40bf-ae02-61562fdecd14\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d45746f9-7752-4c7f-be93-ff50ab2cfd3c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"54a2dcbd-8d45-4d51-8674-3f13dcb766be\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"80fd174e-e101-408f-9464-0c4f39719567\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2aa18194-afda-418b-b37c-d608cb5e9bf6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "PR Crisis Detector", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Script Dialogue Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Script Dialogue Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6bda99e0-afce-4f25-a0d6-37fc3030fc7d\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"script_dialogue_analyzer\"\n },\n \"id\": \"6e893763-6466-4f44-b1ee-b7ad243895f3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fa02ba25-5d8c-422d-b89e-5e38d53a7268\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"3e2c2d49-c7a2-48b0-bf8f-57c6badfc67c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"script_dialogue_analyzer\"\n },\n \"id\": \"0ee473ca-5f98-4afe-a79b-05247ef02cb8\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"script_dialogue_analyzer\"\n },\n \"id\": \"4baa06dc-4f02-4875-9b36-bf43cbcf28c6\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"dfcc35bd-4c02-4979-953f-21bad7251b32\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d695ca63-96c3-4cc5-9d8c-294952b1ea7b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"97a4dcb7-cb9f-4eca-b723-4d364049899f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"88d39f02-5c26-4ebd-a113-f793dd30092f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3c3347f0-df24-43f7-add3-15dda70a794a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Script Dialogue Analyzer", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for social buzz heatmap", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Social Buzz Heatmap\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Social Buzz Heatmap\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"138215f7-468b-48cb-b376-c40a817528f2\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"social_buzz_heatmap\"\n },\n \"id\": \"82f30b68-e3f1-40f7-88e3-ab1c3233e230\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c324892d-dfbb-46eb-a20b-3194d5af8027\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"1a536591-e56d-4882-97fa-750ea30a04fe\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"social_buzz_heatmap\"\n },\n \"id\": \"b9fca89c-c694-4953-bee6-703bdea51693\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"social_buzz_heatmap\"\n },\n \"id\": \"4a9a5d30-032a-457d-a671-ead31f559495\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"45b04afb-4591-4c07-9b6c-e3bc20b32812\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"543b0e24-d804-443c-9c6f-bd1edaa4ac2b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8a835b4e-cf65-49ac-9349-f8b64dda14d9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4bfaf367-92e9-40a0-8396-e190a5eb204b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"6b69c4ac-4d92-4e53-90db-0ff92a2e0304\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Social Buzz Heatmap", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for tv rating trend report", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"TV Rating Trend Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## TV Rating Trend Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"65c293e1-1bb3-47b1-a7e3-1a437f9e1b82\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"tv_rating_trend_report\"\n },\n \"id\": \"5ebc0a6b-0f4a-4830-86ff-ee32ab4bdf00\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"54c599be-45db-4a02-a36f-4dfb1e742586\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e24b26c6-bc13-4744-8ec3-8edb1d499fbf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"tv_rating_trend_report\"\n },\n \"id\": \"0e886b29-468c-426d-ae42-ec988395d9c5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"tv_rating_trend_report\"\n },\n \"id\": \"db48a725-0c6c-41da-a903-0b84de6841eb\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"b38807e5-de3d-4b5e-90d9-5f8512e32fc4\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ae8a7a3b-91a5-48c3-a0f1-f6c57a25dfb1\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8765fbd0-3a13-4190-978d-ca9afe9bb02a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"7d837a97-93be-4f6a-89d6-7f35d82f74a6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f8725419-cad6-4316-b509-2a9733bd92bf\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "TV Rating Trend Report", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for api monitor auto restart", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"API Monitor Auto Restart\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: API Monitor Auto Restart\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"5a361eec-4cf1-4626-8301-f1d61886385b\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"api-monitor-auto-restart\"\n },\n \"id\": \"4a4d8e8e-ef65-4993-be9b-e5a9667a9ec3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a7c202eb-a14d-4c3a-9901-847fb858c828\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"2dc406f3-4a67-4021-80a2-3926b5b55087\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"api_monitor_auto_restart\"\n },\n \"id\": \"8781c9ef-fcc4-41cb-9fda-3ece7aaab8c1\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"api_monitor_auto_restart\"\n },\n \"id\": \"368141fb-c508-4ef1-a99b-2848db6feb09\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"31889dd8-f57a-4cc2-8ef8-e8666ca9f67e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8c45174b-5b62-4222-a33f-ef9085097ffc\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ad6b30cb-5adf-4c0f-96fa-89a830472d1d\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'API Monitor Auto Restart':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for API Monitor Auto Restart\"\n }\n },\n \"id\": \"c3bb6442-4dd3-4d62-bbe9-a47a0ff7baff\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"API Monitor Auto Restart\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e9a91afa-9d08-42a7-a362-2f5eed4db722\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"API Monitor Auto Restart error: {$json.error.message}\"\n },\n \"id\": \"480913f8-b511-4f82-b413-b19bf75ed0d2\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "API Monitor Auto Restart", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Api Stats Chart", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"API Stats Chart\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: API Stats Chart\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d6936124-41be-4586-a3b6-003216c47610\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"api-stats-chart\"\n },\n \"id\": \"03fca675-6256-4e85-928b-785d0b0ae848\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"47ef8ce5-0a2e-4eb9-a127-ce55a886cf1f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"2f994a01-b92a-45be-8d60-38c6f82e8ffd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"api_stats_chart\",\n \"mode\": \"list\",\n \"cachedResultName\": \"api_stats_chart\"\n }\n },\n \"id\": \"1c46d9b8-8847-460f-8bc5-fb4e4072a2f1\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"api_stats_chart\",\n \"mode\": \"list\",\n \"cachedResultName\": \"api_stats_chart\"\n }\n },\n \"id\": \"4eeb7d21-d2aa-4e25-973c-5ae7e3ae8860\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d3f2b2e4-729e-44df-ad1c-d7481e4a23af\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"433f4d6b-23a5-44e6-8c5d-1d7f1ed6b8d3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"b531b066-c595-4ccd-9ba7-a228082bf9cc\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'API Stats Chart':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for API Stats Chart\"\n }\n },\n \"id\": \"9ed764eb-612c-4802-9932-741f73c2b86c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"API Stats Chart\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"70b3720c-76bb-42d4-a28e-016be84c295e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"API Stats Chart error: {$json.error.message}\"\n },\n \"id\": \"e7e520aa-6969-416e-a6f4-8f9a593bac72\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "API Stats Chart", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to applicant feedback folder", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Applicant Feedback Folder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Applicant Feedback Folder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7ce644a8-5c25-474d-ae3a-53c8f74476f1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"applicant-feedback-folder\"\n },\n \"id\": \"d3b2ddcc-92fb-4696-9bb6-5eb65fedb10f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c2d64b36-7adc-4c63-8722-d11bc05edda0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a01f57f4-f0aa-41e3-9486-8996eb0fc0a4\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"applicant_feedback_folder\",\n \"mode\": \"list\",\n \"cachedResultName\": \"applicant_feedback_folder\"\n }\n },\n \"id\": \"98c5ac59-4156-4fbc-8646-49e28b37e12f\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"applicant_feedback_folder\",\n \"mode\": \"list\",\n \"cachedResultName\": \"applicant_feedback_folder\"\n }\n },\n \"id\": \"31611f38-a320-43f1-9077-9823cac1b27c\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"64c1fda2-5757-4cf6-be12-f9fdfb5d032a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fe29c4d9-1fad-4a5e-9eaf-0c2d673c00f5\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a96f8d68-4a2a-4e91-8131-db38c9f156c8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Applicant Feedback Folder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Applicant Feedback Folder\"\n }\n },\n \"id\": \"6704c3d5-cdec-4530-9cf3-c936b18621f8\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Applicant Feedback Folder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"4c1b7df3-a692-4285-918c-eeb7ea56e954\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Applicant Feedback Folder error: {$json.error.message}\"\n },\n \"id\": \"8310c244-ab16-4926-a82f-e0043a795a68\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Applicant Feedback Folder", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Assignment Sms Reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Assignment SMS Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Assignment SMS Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"a7910b7c-92e9-415c-8754-fbed9c8c594f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"assignment-sms-reminder\"\n },\n \"id\": \"cf018e3d-4c4e-4977-abc3-8b30defc78ef\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a701aa19-bd4f-4380-9271-2054007eade2\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"209bfd2d-d15c-4906-aaa3-9c47c36ab605\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"assignment_sms_reminder\"\n },\n \"id\": \"510ebe4d-a02e-40d9-808e-ac83d2299936\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"assignment_sms_reminder\"\n },\n \"id\": \"8fa4a854-9cdf-43f0-97c6-06e491066a27\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c5db775c-afc6-4b76-bacc-d592aed4008e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b42a0cf0-8115-4af7-8de8-68168e7399ae\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"abab42b5-179b-4929-a876-4664c2fb3869\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Assignment SMS Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Assignment SMS Reminder\"\n }\n },\n \"id\": \"4773cc72-a7f7-49b5-907b-40c5f726dec9\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Assignment SMS Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"b3084b31-648f-4736-8d1b-7ee0de4ebf10\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Assignment SMS Reminder error: {$json.error.message}\"\n },\n \"id\": \"c1059c41-d2d0-47fa-a146-95481e40850f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Assignment SMS Reminder", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for bank sms alert to telegram", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Bank SMS Alert to Telegram\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Bank SMS Alert to Telegram\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8bba6263-435f-4314-b024-e0ce26abaa4a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"bank-sms-alert-to-telegram\"\n },\n \"id\": \"4c8fd8cf-fc0d-49ec-a24f-e989e6c5cd15\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e72f2bc8-8a8e-4028-aabe-8945523aff0a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a250943a-b044-465b-9a2d-b79171451ad8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"bank_sms_alert_to_telegram\"\n },\n \"id\": \"369546da-d5ad-41b1-9f16-81e217b88ad5\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"bank_sms_alert_to_telegram\"\n },\n \"id\": \"eb743252-44c7-4c6f-bf75-a36f514af2c8\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e964446c-e500-49b4-b030-237d21bb2715\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7336deaa-1df6-4202-bd35-547cf9fc026e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"cf4ef355-50dc-4e41-89b7-a1f7a530dd86\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Bank SMS Alert to Telegram\"\n }\n },\n \"id\": \"be3ba056-c26e-4cee-9c9b-c15a67669ff0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Bank SMS Alert to Telegram\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"9f7c5610-8b55-4d46-b0bf-01cad3358ed2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Bank SMS Alert to Telegram error: {$json.error.message}\"\n },\n \"id\": \"1fba4c24-9724-4200-8f05-3f279aae8bea\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Bank SMS Alert to Telegram", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Build a workflow for: Birthday Telegram Reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Birthday Telegram Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Birthday Telegram Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"499bef31-9bfd-4a30-8b81-6c8664e79a0f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"birthday-telegram-reminder\"\n },\n \"id\": \"c1901bee-2c1b-4cc7-9df1-30a2b8559b50\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1b0b0e7e-b1d1-47c7-82d2-55cda35941c5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a3b9a0de-019d-4540-aaaa-07a250454313\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"birthday_telegram_reminder\"\n },\n \"id\": \"579ee9ec-23d2-472a-b157-2258e1b9030e\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"birthday_telegram_reminder\"\n },\n \"id\": \"0dc6501b-c6c8-4f87-b0a3-05a772cf7f10\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"031e141d-4e62-484a-8f96-6ee7510ae6e7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7cc0a197-a75b-4efe-8a33-386d31a7a4a3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"03fb1c35-3ea8-42fc-8c16-ed7067118c9e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Birthday Telegram Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Birthday Telegram Reminder\"\n }\n },\n \"id\": \"0f00acfb-1111-4f06-b757-76e390bbbb77\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Birthday Telegram Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"ca627631-889a-4297-be03-a9ebf2bdd0c8\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Birthday Telegram Reminder error: {$json.error.message}\"\n },\n \"id\": \"d6ec7828-a91c-44d6-9138-5da89be3f90e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Birthday Telegram Reminder", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to blog comment discord", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Blog Comment Discord\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Blog Comment Discord\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"82b812ed-5376-4fcb-8aa1-d0aafdacf394\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"blog-comment-discord\"\n },\n \"id\": \"7cd78bc9-6f9c-49ff-b301-20351c194a01\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"931184bd-d737-4ee0-83d3-790fcdffb71c\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"948b5a40-c675-4b22-8d94-06372555e0f8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"blog_comment_discord\"\n },\n \"id\": \"f40be7b1-bbf1-46db-bbc9-37a0b93aecea\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"blog_comment_discord\"\n },\n \"id\": \"04c8f2e1-32e5-452e-bf69-a4ff4581978a\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"92293484-e699-431c-9d31-d92d278aee0d\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3e391481-eb82-4151-a205-98a7c72a250d\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"b2e5956e-1b19-4df8-9753-1fb5f376b150\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Blog Comment Discord':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Blog Comment Discord\"\n }\n },\n \"id\": \"c8499c4b-4774-41ea-ad92-6b24a75c8cd1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Blog Comment Discord\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"b7800da2-d330-404c-8c1e-0071414ef68a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Blog Comment Discord error: {$json.error.message}\"\n },\n \"id\": \"b9f4c51a-59b7-42b7-89d7-6749f1d9503a\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Blog Comment Discord", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Blood Test Email Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Blood Test Email Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"66fd712a-d30b-4837-9781-1e7f40470a18\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"blood-test-email-alert\"\n },\n \"id\": \"7a588b32-00a1-41a3-a02f-f87eed240446\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ce617935-770b-4c86-b082-19fecad2e663\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"54f567f9-7d21-432b-8506-61d357a6c11f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"blood_test_email_alert\"\n },\n \"id\": \"d0dea4ec-1cfa-4d38-81e6-dd097248f8c5\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"blood_test_email_alert\"\n },\n \"id\": \"2aad603d-1af9-4cce-b541-91ddbd9e3849\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"232c9af2-7f53-4c59-9da7-8199210ad660\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7813ab2c-625d-4941-924e-61bd1c644510\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"75f668f2-3e48-4b34-9cc7-abe95f61b157\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Blood Test Email Alert':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Blood Test Email Alert\"\n }\n },\n \"id\": \"57a825b5-95b8-4f20-bfcf-48a9da28ef9e\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Blood Test Email Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"243a70eb-4c62-4ca4-a6fc-81c9171caaf7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Blood Test Email Alert error: {$json.error.message}\"\n },\n \"id\": \"52782e9d-b356-438b-a575-c4d9c6647a41\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Blood Test Email Alert", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Calendar Event Auto Tag?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Calendar Event Auto-tag\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Calendar Event Auto-tag\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d41f0bca-60f2-42f6-8283-6b90cd9da0fb\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"calendar-event-auto-tag\"\n },\n \"id\": \"b9699e56-abbc-4dbd-a302-34778ca57807\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"45e22857-69e5-4910-a8a4-eba26439c991\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"0c75dd00-f3d3-4dbe-9485-4d5b3a584e3f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"calendar_event_auto-tag\"\n },\n \"id\": \"651f51f2-51a6-4507-b3f4-86e2be5be9fc\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"calendar_event_auto-tag\"\n },\n \"id\": \"2097dece-c795-48c4-ab4a-e61e2dae9e2d\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"a2f32ba3-0b89-4300-af68-c2676fceec51\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0e0165a0-b5cf-4c04-b28f-45e646dd6eb8\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5b28014a-edff-4b54-a156-50ea240a0f3d\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Calendar Event Auto-tag':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Calendar Event Auto-tag\"\n }\n },\n \"id\": \"d875843e-628a-4acf-b837-887a1e9b5513\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Calendar Event Auto-tag\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"9b3cbd85-6d08-4155-841f-b25dc2a8fb20\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Calendar Event Auto-tag error: {$json.error.message}\"\n },\n \"id\": \"ad91cf83-861e-4574-8c7e-54735fcfe7f3\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Calendar Event Auto-tag", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Calendar To Clickup", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Calendar to ClickUp\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Calendar to ClickUp\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7c2f6c31-cef6-4faa-85d2-1b612ca47738\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"calendar-to-clickup\"\n },\n \"id\": \"616b196a-7236-4a77-85d2-8ce0bea08e1a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3069949e-0f7e-4e4c-bb8b-0c47fc2e46c5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"ea8f8a1f-5338-47b5-afc1-293b76318357\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"calendar_to_clickup\",\n \"mode\": \"list\",\n \"cachedResultName\": \"calendar_to_clickup\"\n }\n },\n \"id\": \"b341bded-d136-4a8d-9f00-861b8437e4aa\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"calendar_to_clickup\",\n \"mode\": \"list\",\n \"cachedResultName\": \"calendar_to_clickup\"\n }\n },\n \"id\": \"b7ebe434-8f63-4f1f-b422-b14cea1ea63e\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4528b267-fcda-42d7-a0e3-de6cda9f5a1a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ea1959d2-be0c-4b6f-93f4-962b33e835ed\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"4e2527c8-2303-4265-b3d3-dd3bcdbdfb61\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Calendar to ClickUp':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Calendar to ClickUp\"\n }\n },\n \"id\": \"4167d420-b67d-4d8f-9b2a-259d650e3a3f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Calendar to ClickUp\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"107584cc-3d6b-4c62-957a-9ef5a3fe4f2a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Calendar to ClickUp error: {$json.error.message}\"\n },\n \"id\": \"ba428de4-7fdf-42f7-9214-0f66a7ef77f1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Calendar to ClickUp", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Course Completion Certificate\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Course Completion Certificate\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"00188eee-a2bc-4d65-bea7-22693ab8d22e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"course-completion-certificate\"\n },\n \"id\": \"7853e915-bbc6-44ea-9756-b2a0d25ba361\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c4963bac-745d-4822-bc0d-5b47d4d4eb48\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"eac7a044-6d99-4607-b9b6-ec9e3d2fbb97\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"course_completion_certificate\"\n },\n \"id\": \"a11419fc-733e-4ce2-9755-eba3fb7164c1\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"course_completion_certificate\"\n },\n \"id\": \"9276d92b-ce2d-4fa3-a028-0d27d17d5d2c\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6ccce1d0-d448-4e7e-a094-cc720756e668\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f1db10d2-bf1a-4569-bac3-f44825040634\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a2f054a8-22d1-4dbb-ab4e-06ba254d97a6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Course Completion Certificate':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Course Completion Certificate\"\n }\n },\n \"id\": \"457880d0-86d1-42e8-b91e-658967a70c21\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Course Completion Certificate\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"c60c62d0-9301-41c4-8cf6-5dcb6d065950\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Course Completion Certificate error: {$json.error.message}\"\n },\n \"id\": \"4987eb2b-a7ce-4689-b0b3-b87f9ab983e3\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Course Completion Certificate", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Crm Patient Intake", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"CRM Patient Intake\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: CRM Patient Intake\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"86b9f13f-62f9-458f-ad1f-551c22acc97c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"crm-patient-intake\"\n },\n \"id\": \"4b09900a-e4e7-4144-a460-cb44ceca072f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c5dacca0-17d6-4413-8ec8-ad721be328d2\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"68a58074-378e-469d-9022-b3c83bf8ee6c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"crm_patient_intake\"\n },\n \"id\": \"9720a931-4c26-45b9-a8c9-31d352d534d8\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"crm_patient_intake\"\n },\n \"id\": \"023dbcb5-e494-4c25-a83d-6c4e8f78888b\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c988cbab-d0da-4d21-a19f-9d499df5376b\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"eeec0d68-4233-4083-aedf-f9f81ead580f\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9ee23255-eb1c-457b-849b-b5e8b38d447b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'CRM Patient Intake':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for CRM Patient Intake\"\n }\n },\n \"id\": \"7852e84c-7f0b-44dd-8843-4c3d74d4b8ce\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"CRM Patient Intake\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"fdb770b5-451d-4b86-b968-6b3101545a94\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"CRM Patient Intake error: {$json.error.message}\"\n },\n \"id\": \"c9724e0b-7606-43a4-9765-2a4dd1d01646\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "CRM Patient Intake", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Cron Success Slack", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Cron Success Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Cron Success Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"b03d8e1e-d7b2-442c-9fae-ccf65c4125a7\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"cron-success-slack\"\n },\n \"id\": \"3f1813a6-4c11-437c-a487-fd91b2c0988f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"51415661-613f-4c39-9abf-6eb052df2251\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"5b064711-d117-44cd-83f4-789be1762c3a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"cron_success_slack\"\n },\n \"id\": \"0d3f05c1-1023-4aa1-897f-87de0ca47a39\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"cron_success_slack\"\n },\n \"id\": \"b8778660-dd26-4673-91b7-822e543607ef\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6855ebd4-1b15-485f-90ab-a9755d50ba60\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f57b718e-8d0c-4bd4-810d-fbc53fb37133\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"f0e56d0c-773e-4a79-8299-082b5f6ab424\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Cron Success Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Cron Success Slack\"\n }\n },\n \"id\": \"20ac9f41-be41-4862-82ce-afbfe3abda1d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Cron Success Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"10e0dee3-1d1e-4ad0-b1cf-89699aefb1fd\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Cron Success Slack error: {$json.error.message}\"\n },\n \"id\": \"b7bfc454-6aaf-46c9-b35c-e88974babc1b\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Cron Success Slack", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Csv Attachment To Airtable?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"CSV Attachment to Airtable\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: CSV Attachment to Airtable\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8301780b-c5bd-48b4-9288-f69b1c8ba012\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"csv-attachment-to-airtable\"\n },\n \"id\": \"f2045b0e-4bf6-4788-afac-442f93a9974d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"14d8c6a2-cd6e-4a57-af38-3f2a56aec148\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"5ece73c9-1c2c-40b7-a5c3-faebc32150a5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"csv_attachment_to_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"csv_attachment_to_airtable\"\n }\n },\n \"id\": \"84e50d79-ac2c-45a3-84d6-4996378952bc\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"csv_attachment_to_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"csv_attachment_to_airtable\"\n }\n },\n \"id\": \"af1a60d0-bf2b-4cd8-bd36-77eb41d439e4\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"ac062bd5-d5ea-45c8-81e3-f2c25a84691c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"717a5d25-6283-498d-a866-d827a1b31e5b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5f81d9fb-3d8c-4824-9ad8-a7a48a251232\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'CSV Attachment to Airtable':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for CSV Attachment to Airtable\"\n }\n },\n \"id\": \"9597ffe2-20a8-49df-98bf-bc722d5af74f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"CSV Attachment to Airtable\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"77736a14-1aff-4736-8345-270bfbc5d262\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"CSV Attachment to Airtable error: {$json.error.message}\"\n },\n \"id\": \"c80995ec-dba6-4418-b275-8b8ccf01112d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "CSV Attachment to Airtable", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Customer Auto Tagging?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Customer Auto-tagging\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Customer Auto-tagging\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9f1c238b-8782-4c9d-8f31-70ea9793ffa1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"customer-auto-tagging\"\n },\n \"id\": \"85f21561-f8cf-4292-96c6-5b73484e95bd\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2c222980-aa73-4e0b-9a39-b9b15835cfcb\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"040314a3-fbfa-453d-9162-c149ea7ebd25\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_auto-tagging\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_auto-tagging\"\n }\n },\n \"id\": \"cc35e2b3-4495-4dcc-ae87-35e39a99fbdf\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_auto-tagging\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_auto-tagging\"\n }\n },\n \"id\": \"95966bc7-b3d8-4f9c-9af2-baf9ccfd4254\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fbff62ae-f2ff-441d-927f-5b35a26b4e3f\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1ccb9845-18a2-43a9-be19-520384e40b13\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"c4667e9a-c357-4d63-94a5-aee983169921\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Customer Auto-tagging':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Customer Auto-tagging\"\n }\n },\n \"id\": \"9d38d1cc-9ae6-459d-ab4a-63e57afac794\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Customer Auto-tagging\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"86e15f12-c9a3-4177-bb69-9dfb9d81c651\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Customer Auto-tagging error: {$json.error.message}\"\n },\n \"id\": \"95afe2a2-f3f2-4879-b4f1-533c35e6ac0d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Customer Auto-tagging", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Disaster API SMS\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Disaster API SMS\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"69257a08-9220-4154-99e2-37bb863ffbf1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"disaster-api-sms\"\n },\n \"id\": \"2d2f47ff-0270-49e9-8eae-b2953001fea5\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d9372145-e221-48ad-8307-074fb66158c9\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"8af454d1-43d4-4d9b-87b6-8b27ae50fbbe\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"disaster_api_sms\"\n },\n \"id\": \"e6468b01-b39b-415b-af3c-739622e715c8\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"disaster_api_sms\"\n },\n \"id\": \"d25b5499-42aa-4b97-9051-e11762523d98\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"8c4ffec5-8b34-4d3d-a598-9244e3ef5aaf\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e0077d9b-ebae-4102-b038-beadcdf71f0b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1cde59f5-0cfe-40d6-8652-360c1e2606ca\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Disaster API SMS':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Disaster API SMS\"\n }\n },\n \"id\": \"de908410-ed39-485d-b33b-c98ebc6edbd6\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Disaster API SMS\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"01254f9e-0418-488f-ae6c-8d159c76f4f9\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Disaster API SMS error: {$json.error.message}\"\n },\n \"id\": \"d2328665-5b92-4bfd-b840-7bddb01c99f3\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Disaster API SMS", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to drink water reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Drink Water Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Drink Water Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"ed0b6b94-6a94-459d-80d6-b0518159e0ba\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"drink-water-reminder\"\n },\n \"id\": \"201ce50f-f77e-4158-8906-4644e6149164\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e8c52f63-a4ec-4be6-bdd5-2bc2a9be7f2b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a262a182-2e66-403a-adf1-8abac8978048\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"drink_water_reminder\"\n },\n \"id\": \"7762e59b-4eee-4678-97b8-8c738d1bbd41\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"drink_water_reminder\"\n },\n \"id\": \"51ae1340-fc63-469b-914f-0808a9f06982\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e969e9b4-2c70-4439-a568-04d7a65dcba7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5e929e1e-2299-47c0-88b2-07186e7e36d6\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"bfdde168-99df-4b0a-bf81-c1bb8e1cc03a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Drink Water Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Drink Water Reminder\"\n }\n },\n \"id\": \"58d6b2d9-dd3b-4875-bb4c-d3be55cd5cd8\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Drink Water Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"3b941dbb-1b0d-465b-b2d8-631caeb45aeb\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Drink Water Reminder error: {$json.error.message}\"\n },\n \"id\": \"a42e5614-ba09-4115-a7a5-bc5c07706df8\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Drink Water Reminder", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Etsy Review to Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Etsy Review to Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9ada3f67-3926-4995-8f82-0f8265c7da57\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"etsy-review-to-slack\"\n },\n \"id\": \"51db7f77-5b42-4259-bb85-216d79fcbc01\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9e891d18-bca7-4422-807c-141de650b33d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"fbb181b3-49c1-4ace-a94e-a76e5ad7edcf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"etsy_review_to_slack\"\n },\n \"id\": \"0ebef6a8-753a-470e-a984-5a10932fe1b8\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"etsy_review_to_slack\"\n },\n \"id\": \"e79e1d34-4dd4-42d0-b35d-bd520abd2103\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"41b356e4-b29e-4b80-950d-53fbb1035a35\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3e5896c8-c0ae-435a-93ee-048a3cd5f8ef\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"da4d79ca-74f7-4d86-96f4-14f4ecd88a16\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Etsy Review to Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Etsy Review to Slack\"\n }\n },\n \"id\": \"218c49e7-8815-4df7-8544-36f413a1eb98\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Etsy Review to Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2c838709-3373-44d0-bf31-87d60a1c351b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Etsy Review to Slack error: {$json.error.message}\"\n },\n \"id\": \"68cee1a3-f365-4358-a9b3-e374260270be\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Etsy Review to Slack", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for fitness api weekly report", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Fitness API Weekly Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Fitness API Weekly Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"fb5b6cc9-a3ca-4c2c-bd10-1545178cd1ed\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"fitness-api-weekly-report\"\n },\n \"id\": \"344206c2-8c8c-4fbb-858a-c0e8eedc2ce0\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2e12fc58-d1e8-4878-82bc-e22fee023178\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"35886feb-ae64-4aa0-a2e8-547e50be4aa6\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"fitness_api_weekly_report\"\n },\n \"id\": \"92ee7d9d-e7c4-4e59-b838-31c9c9a8bd14\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"fitness_api_weekly_report\"\n },\n \"id\": \"5b028e05-8481-4805-b63e-725f96511836\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"83a18d4e-1ca4-4d27-b86e-74e2cbfdb959\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"164d5925-32e6-4c0d-82c2-aa41700bef8d\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"da0b3613-27f6-475a-a68b-c2af2c462ac3\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Fitness API Weekly Report':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Fitness API Weekly Report\"\n }\n },\n \"id\": \"e037ce6e-8a01-4a60-8560-83151db3c6f0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Fitness API Weekly Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"7f166559-0c74-4fa3-9958-bc492bb87d08\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Fitness API Weekly Report error: {$json.error.message}\"\n },\n \"id\": \"bfd4a5fa-28b7-4f39-923a-064ca8d964cf\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Fitness API Weekly Report", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for ga report email", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"GA Report Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: GA Report Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"4f1aab57-9308-4e86-9152-61fbfa3365a9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ga-report-email\"\n },\n \"id\": \"65695649-dfc5-4677-af78-567051da6234\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"22d39ff9-e8dd-4313-acb9-acdcd9f182b5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"72155732-71f4-430d-bac5-57a8842ddf00\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ga_report_email\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ga_report_email\"\n }\n },\n \"id\": \"e8c7d48f-3e97-43fd-84bb-4dcb616db2a2\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ga_report_email\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ga_report_email\"\n }\n },\n \"id\": \"7970719b-0019-46eb-a2db-84a2b521bd2c\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"f9dc8e53-1929-4110-af74-421e6cdafd5e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a1d434ec-e2cc-4e88-b7c0-e4d697bb6833\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"47f73715-e5ee-4f85-a7ae-99b049c4ad90\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'GA Report Email':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for GA Report Email\"\n }\n },\n \"id\": \"d90712e6-0d32-4474-9bd5-665e46dab37f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GA Report Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"97fb2a42-c618-4a3e-b35b-18123b46da9a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"GA Report Email error: {$json.error.message}\"\n },\n \"id\": \"84e064b7-1ad4-4cbc-97aa-a65eb5a8d6e9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "GA Report Email", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Grant Application Routing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Grant Application Routing\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Grant Application Routing\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"617b027d-f07d-4f02-991e-e0849d539894\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"grant-application-routing\"\n },\n \"id\": \"dde8f45d-7cd6-4fd7-9f9d-251cd9c77c83\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b245846a-bd59-42e8-8e2b-dc0a52250848\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"85d8d786-d82d-44aa-baf7-44b2012aedcb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"grant_application_routing\"\n },\n \"id\": \"d8b6b087-21de-4f50-9bfc-e838d9065861\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"grant_application_routing\"\n },\n \"id\": \"c5d0fbe8-a21a-4565-a08c-e138c83e498d\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"8e30a670-ca06-4755-9de3-5a7ce685e436\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"429f791a-5173-4481-8962-4ece4084d641\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"3eafa51a-284f-40cd-af6b-267a1901b9d6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Grant Application Routing':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Grant Application Routing\"\n }\n },\n \"id\": \"492a65b2-b17e-41f4-9cb3-a33434ec9b22\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Grant Application Routing\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"92aa830c-345d-4c2f-9995-def7960bcb61\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Grant Application Routing error: {$json.error.message}\"\n },\n \"id\": \"bbb4a1df-650b-459b-8306-35a8d6daeb50\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Grant Application Routing", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Habit Form Weekly Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Habit Form Weekly Summary\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7b944cd3-60b2-41b7-b889-5b024ced0c89\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"habit-form-weekly-summary\"\n },\n \"id\": \"ac0c36ba-43c3-489a-9a4c-c86a7d639a1f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"4fbb3ced-45ca-421b-b317-48d64e758d12\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"42114436-997f-4fb9-beeb-de2ca3488fdb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"habit_form_weekly_summary\"\n },\n \"id\": \"0722c641-3b7a-40ad-8983-5b8ecfa389b2\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"habit_form_weekly_summary\"\n },\n \"id\": \"07be59f8-c6ef-4bc2-a526-7b6e9b36c5ec\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"f84a5cf4-06ed-461f-a1ef-d793e742590a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"032e9fb8-fe54-4280-b0d1-d52f6c90e9e2\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"94ce5622-db58-490e-8f7a-add3e0864617\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Habit Form Weekly Summary':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Habit Form Weekly Summary\"\n }\n },\n \"id\": \"4ebafa38-6715-4530-a9d0-346a1cbb2603\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Habit Form Weekly Summary\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"366ff844-9210-4681-be50-f3022b5dfe48\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Habit Form Weekly Summary error: {$json.error.message}\"\n },\n \"id\": \"c3009b9c-07ab-48ec-a6fc-f9ced5717941\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Habit Form Weekly Summary", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Hourly Weather Log\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Hourly Weather Log\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"51aa653a-88c3-4c63-a30e-23e01031d76c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"hourly-weather-log\"\n },\n \"id\": \"955ca4d7-8066-4712-ad7f-eeab2a629b08\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f318ebee-206e-4347-9ef6-141b8d3d4e38\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"a911e7f9-4f45-4147-8587-c30df655785d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"hourly_weather_log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"hourly_weather_log\"\n }\n },\n \"id\": \"75934585-942c-4b4f-92c1-bda09dc8328e\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"hourly_weather_log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"hourly_weather_log\"\n }\n },\n \"id\": \"81757525-16d6-4d55-885a-268ba7664b51\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"844830f7-13a2-43af-91ea-5aa08a5f9eaf\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"febe0952-37a0-4da6-a0fb-ddfe003ce96a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"81d81450-043b-48c2-a451-1dfe378bd650\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Hourly Weather Log':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Hourly Weather Log\"\n }\n },\n \"id\": \"913a12fc-d88b-4041-bb4a-25d6f4f7504b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Hourly Weather Log\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"7928b2a8-a1c7-480e-8e73-9e5ffd5d2680\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Hourly Weather Log error: {$json.error.message}\"\n },\n \"id\": \"76b5c2b4-ba2f-4468-b089-71108eb88420\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Hourly Weather Log", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Idea To Ig Carousel?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Idea to IG Carousel\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Idea to IG Carousel\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"54134b2f-ee07-4ee3-8934-091e0cc39c6d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"idea-to-ig-carousel\"\n },\n \"id\": \"0557fff1-0a8e-4013-b7ec-ac586a69ab59\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"dd6a352a-89f3-4456-b938-f407c2702e16\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"b20d9054-64c5-4e92-9e49-5c7f5808590a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"idea_to_ig_carousel\"\n },\n \"id\": \"1a52a5a3-2ce3-406f-9ad1-98b30266be23\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"idea_to_ig_carousel\"\n },\n \"id\": \"72a71b2d-bb5d-4545-9482-a524dda1e1b0\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"64a8d0c4-6d19-4726-a74c-7220105d0ce9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fb391d71-831a-4785-a6f8-fcb394893cd3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a37dc046-d17e-44b1-b0af-3d40f8a7cd3a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Idea to IG Carousel':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Idea to IG Carousel\"\n }\n },\n \"id\": \"20b5f76e-141a-412b-9b8d-9d2e2ec88641\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Idea to IG Carousel\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"f4779a50-0a27-4916-889c-b4164139db72\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Idea to IG Carousel error: {$json.error.message}\"\n },\n \"id\": \"5d1c9252-8f74-40d5-aae1-b1ad869d16d1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Idea to IG Carousel", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to interview scheduler", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Interview Scheduler\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Interview Scheduler\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"29ebd35b-f428-4229-ae22-5601a2462b42\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"interview-scheduler\"\n },\n \"id\": \"3c628416-38b1-47e0-99f5-96f5bd7ccd4c\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"186c76a5-0685-4d2f-a393-e4ef88ce1aae\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"e79dbc8f-eb89-4738-a95b-778cf9107690\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"interview_scheduler\"\n },\n \"id\": \"f76b463b-138b-4e56-9c1c-3f6547ff4131\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"interview_scheduler\"\n },\n \"id\": \"f50cecc1-26bf-4069-b176-503943b30cb8\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"8f7b7e77-a500-4e5e-b6be-2055430c83b4\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d66d9836-2f7b-4637-a0f9-4df46ebd65b8\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"8a4a94a8-d20f-4e25-a391-6b38f9184f0b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Interview Scheduler':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Interview Scheduler\"\n }\n },\n \"id\": \"8eb1e7ec-409f-4aee-a411-c611adb5a09e\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Interview Scheduler\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5bd51947-ad76-40ca-b49f-614102d20d75\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Interview Scheduler error: {$json.error.message}\"\n },\n \"id\": \"7ef1a95a-12b8-4b48-867b-d1ad62f4ceec\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Interview Scheduler", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Issue Trello Card", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Issue Trello Card\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Issue Trello Card\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"ffde606d-21f9-46d6-b42a-7a7b85966a40\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"issue-trello-card\"\n },\n \"id\": \"2c7406e0-da42-4bfb-8c62-4a249a6f2f77\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"068f1d79-d90c-4f1a-9625-98ccb22a77f0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f0266964-6acb-4e74-92d6-41bcce892631\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"issue_trello_card\"\n },\n \"id\": \"81d47557-d8b7-4f1e-af5d-132f387df011\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"issue_trello_card\"\n },\n \"id\": \"7929908d-f850-4062-8d76-a7ff9dd0f8e3\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c3245d8a-627e-425b-afc8-f8a024ef95af\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e1e8ad99-075a-435f-84b8-f6972f232af5\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"7f4e69ff-d8aa-48dd-8383-dbef10749fcf\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Issue Trello Card':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Issue Trello Card\"\n }\n },\n \"id\": \"488d5b09-7889-4783-8204-5716d88f86e1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Issue Trello Card\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"374e3b87-35e3-4ebf-a097-8b2ddf56e667\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Issue Trello Card error: {$json.error.message}\"\n },\n \"id\": \"51574494-a67b-4ff6-96ad-a414525a9ea6\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Issue Trello Card", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for json to sheet", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"JSON to Sheet\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: JSON to Sheet\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"22ae73af-1660-49c3-97b3-3e896eaab598\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"json-to-sheet\"\n },\n \"id\": \"2b9c6e14-8640-4c28-a593-07c2c7b34dcc\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a3ffd546-08d9-48cb-9cf1-814f585c244e\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"26b8037e-5205-4e2e-9f84-f45759cdc143\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"json_to_sheet\",\n \"mode\": \"list\",\n \"cachedResultName\": \"json_to_sheet\"\n }\n },\n \"id\": \"8e87db29-aed5-4470-974b-2d9a7f80c050\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"json_to_sheet\",\n \"mode\": \"list\",\n \"cachedResultName\": \"json_to_sheet\"\n }\n },\n \"id\": \"1a4f3b0a-2109-4277-82d5-d2f8bad3e1b8\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d9de9e88-d22b-400e-a6c9-6c33c6a6bf62\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"39699355-6f61-45d7-ac91-739b8ae368ad\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"69b5c1aa-f248-4db2-b35a-f5ac7470b2ce\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'JSON to Sheet':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for JSON to Sheet\"\n }\n },\n \"id\": \"6fbd4ea9-4762-4904-a2a6-eea9f6d7f629\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"JSON to Sheet\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"3b91edac-b782-4e3b-8b42-a6b45da192c7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"JSON to Sheet error: {$json.error.message}\"\n },\n \"id\": \"40ba60ac-f1dd-4440-9339-3ec56db3532e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "JSON to Sheet", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Keyword Rank Checker?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Keyword Rank Checker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Keyword Rank Checker\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d00aa5cd-2981-4071-84fc-e3de476eb2b2\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"keyword-rank-checker\"\n },\n \"id\": \"972f3da6-471e-44eb-a9f5-0466549f6b15\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f791b601-16df-43af-9143-de71bb580fc3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f86574e7-b2df-4d40-8584-22358a65ac1b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"keyword_rank_checker\",\n \"mode\": \"list\",\n \"cachedResultName\": \"keyword_rank_checker\"\n }\n },\n \"id\": \"4b633ac2-3e70-4ff3-abc1-98be488a7947\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"keyword_rank_checker\",\n \"mode\": \"list\",\n \"cachedResultName\": \"keyword_rank_checker\"\n }\n },\n \"id\": \"870105c9-1129-4898-a4bb-3324bd44925e\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"01144960-9194-4d3b-838a-7e173be01ab1\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7dfa5c62-a11b-45fc-8bce-65501cd3e82e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"97a934f6-419d-4215-b387-177c5bccfd38\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Keyword Rank Checker':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Keyword Rank Checker\"\n }\n },\n \"id\": \"1795a245-6b80-4c82-95b3-06c0401489e1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Keyword Rank Checker\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"c8c6865f-915d-4009-8d0a-0905cc78cb55\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Keyword Rank Checker error: {$json.error.message}\"\n },\n \"id\": \"01d3638c-42b4-4973-aef8-73590c69fa0e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Keyword Rank Checker", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for low stock discord", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Low Stock Discord\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Low Stock Discord\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"b8ef13db-322d-4720-aaf3-7721bd8e6e80\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"low-stock-discord\"\n },\n \"id\": \"f991c8e6-2992-48db-81d5-a42231e624c4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9cd9834a-143e-41da-b019-cc49c5989d93\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"0966b81f-85e9-4607-859d-62634d769406\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"low_stock_discord\",\n \"mode\": \"list\",\n \"cachedResultName\": \"low_stock_discord\"\n }\n },\n \"id\": \"8614a99c-b543-4390-ba45-2a96ca1e63c3\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"low_stock_discord\",\n \"mode\": \"list\",\n \"cachedResultName\": \"low_stock_discord\"\n }\n },\n \"id\": \"53da28ef-3686-439d-938e-39d996c9ba6c\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"56126f8f-464f-4a1c-aed0-6b1e8769d079\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b74a3d7a-f381-4097-8f4e-f5c8747191f1\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9cb002e3-f7e7-4a40-a949-6e0c3ce85038\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Low Stock Discord':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Low Stock Discord\"\n }\n },\n \"id\": \"b4a5efd2-c5c3-4bc2-a91c-45398ee7fc6c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Low Stock Discord\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2fb9d0e8-6181-40b5-a98b-d4089226c5c7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Low Stock Discord error: {$json.error.message}\"\n },\n \"id\": \"9430d717-9c59-41ef-81d1-d148720f9fd0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Low Stock Discord", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Medication SMS Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Medication SMS Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e375f277-fe00-4b84-9ea1-e857a74bbae2\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"medication-sms-reminder\"\n },\n \"id\": \"4c5aa5e0-752e-48f0-ae94-be8888892e7d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7cd06a1f-b407-4b53-8061-a53487bbfffa\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"738d34ba-e6b6-4e3a-9248-ef1f4818c3ba\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"medication_sms_reminder\"\n },\n \"id\": \"a3f0b3e4-fc10-483f-ba86-f538f8519828\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"medication_sms_reminder\"\n },\n \"id\": \"3e00b69e-4134-4228-a940-4007fe485227\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fcba2e14-0747-4adb-903d-a2965f7279ba\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c85c12f3-bb6b-4783-bc85-f7b25e195654\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ae92f4c9-30d7-40c8-858b-3ac32a9e84cb\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Medication SMS Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Medication SMS Reminder\"\n }\n },\n \"id\": \"8d120bef-6619-4313-8b3b-2739626f4d4b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Medication SMS Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"55d8515a-e6d8-4338-82a8-6bc053f4b81a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Medication SMS Reminder error: {$json.error.message}\"\n },\n \"id\": \"0c856440-0210-4401-8a19-4e3033cda466\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Medication SMS Reminder", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to notion api update", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Notion API Update\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Notion API Update\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"f6eedc53-53fe-45e3-be02-ee32b2bc2548\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"notion-api-update\"\n },\n \"id\": \"97e8e13c-6fe1-4756-83fe-f3106f99b4bd\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b4faac7a-fac8-49c6-b6e9-105dc0097ef0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"8bfcea9f-6dee-4038-a2d1-7f2c8b8368b6\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"notion_api_update\"\n },\n \"id\": \"4fb1d720-e915-4a9f-8697-3349b879a922\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"notion_api_update\"\n },\n \"id\": \"316f1a80-040b-480e-bfbe-c54cfd217db5\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"839a9f23-7777-47ca-acc7-2aab8bec04a5\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6280048e-4689-4f3b-a73d-2ab89e73f02a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"46ef3d02-55d4-4733-8b2e-8494a20c30d7\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Notion API Update':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Notion API Update\"\n }\n },\n \"id\": \"f2b616b4-b278-49c6-93ed-9cd28ed91d31\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Notion API Update\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"0d8f0c1f-a667-4b44-befd-36b2b2fd162d\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Notion API Update error: {$json.error.message}\"\n },\n \"id\": \"ce94609f-2f12-4f5c-8900-6cdca74e0284\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Notion API Update", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Onboarding Checklist Slack?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Onboarding Checklist Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Onboarding Checklist Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"47baf67d-8d9c-4ff2-a315-52b5044d77de\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"onboarding-checklist-slack\"\n },\n \"id\": \"a5a701dc-07df-4876-9e7f-2686ed66a383\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"713d5ed4-d517-4823-a61c-9700a342b20a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"eaa8c182-8035-46fe-a91d-49ffee0a2f0c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"onboarding_checklist_slack\"\n },\n \"id\": \"96bc3a2d-ef03-417a-b967-7c174604b874\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"onboarding_checklist_slack\"\n },\n \"id\": \"736e3e0d-6670-4a38-977e-73983e7915e0\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"0b422760-05ca-45e8-9335-3349187c8041\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e493bfbf-0966-41f4-a49f-19e2496047e0\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"97e21be6-5b77-49da-beda-189f5cd592d4\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Onboarding Checklist Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Onboarding Checklist Slack\"\n }\n },\n \"id\": \"b40c8009-ff84-477c-a34d-700d13ffbfe2\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Onboarding Checklist Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2d5166e2-784a-4b23-86a9-7b8b61a4ca32\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Onboarding Checklist Slack error: {$json.error.message}\"\n },\n \"id\": \"e6265a5d-a893-4177-9e00-28566cd1f6ee\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Onboarding Checklist Slack", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Order Shipped Notification\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Order Shipped Notification\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"102b6df3-b365-4011-bc03-6098a0d8540e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"order-shipped-notification\"\n },\n \"id\": \"896137be-72ad-4c60-a0cc-b359c2d44c32\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7d4a82a1-7d85-4fe7-82fd-6e9e4543892f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f54b009b-fdd7-4011-9c0f-4fb96cc06f89\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"order_shipped_notification\"\n },\n \"id\": \"640b4f5d-ec09-401f-a4f7-35876eaad13a\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"order_shipped_notification\"\n },\n \"id\": \"a712e417-fe97-4925-9efd-45b6a1b519e6\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"26933929-0a50-4cd5-8562-17facb37189e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7e5737f4-be56-4d49-9633-9a2769557480\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"337be036-25ad-4a52-9fc5-4b903fc20204\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Order Shipped Notification':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Order Shipped Notification\"\n }\n },\n \"id\": \"1be7b3f2-baf8-4425-af25-3b678718acfb\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Order Shipped Notification\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"fed26820-aefe-4c14-8d7d-2e16a103390e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Order Shipped Notification error: {$json.error.message}\"\n },\n \"id\": \"f665c2f3-d7ea-4c12-b594-33f39318e5f0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Order Shipped Notification", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Podcast Transcribe Publish\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Podcast Transcribe Publish\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"3250caac-c551-4414-b771-045d05335b65\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"podcast-transcribe-publish\"\n },\n \"id\": \"4dc05fc9-9cb6-4a65-ad69-9a0af7f01e02\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e6f71afd-8a8e-44c7-857d-03ce2f44e66d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"7d411532-cd9d-4d91-880f-b160c5ef09b2\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"podcast_transcribe_publish\",\n \"mode\": \"list\",\n \"cachedResultName\": \"podcast_transcribe_publish\"\n }\n },\n \"id\": \"954c0ec8-e81a-4a99-b3f6-f80615cbdc67\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"podcast_transcribe_publish\",\n \"mode\": \"list\",\n \"cachedResultName\": \"podcast_transcribe_publish\"\n }\n },\n \"id\": \"fa7eda42-a53e-4422-869f-72004b06f591\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"9b9630dc-0c39-4113-95dd-f9a14297a3d4\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f55acb08-a56c-4bf1-9652-8e71c1b1de6b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ce0a13aa-2923-41c8-bf08-ab52781f18af\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Podcast Transcribe Publish':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Podcast Transcribe Publish\"\n }\n },\n \"id\": \"d98e5674-0c59-4c03-a132-cec3b31e4021\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Podcast Transcribe Publish\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"a1695c17-da29-4ab4-bcbf-3fb089bc71b4\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Podcast Transcribe Publish error: {$json.error.message}\"\n },\n \"id\": \"719f63b1-9c41-4fb5-a0f6-7ad43ed6e3d9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Podcast Transcribe Publish", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"PR Merged QA Notify\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: PR Merged QA Notify\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"61da6a3d-ed28-4145-ad22-3a458684706e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"pr-merged-qa-notify\"\n },\n \"id\": \"a5e13a39-aede-46c1-983d-b1308aa2af8e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"528f58ea-f2fb-4535-9276-4a3fc9b22234\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"865827a0-826d-42c2-aa29-d671856ac7a5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"pr_merged_qa_notify\",\n \"mode\": \"list\",\n \"cachedResultName\": \"pr_merged_qa_notify\"\n }\n },\n \"id\": \"85947f4a-c12f-4762-adcf-14803b295ec7\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"pr_merged_qa_notify\",\n \"mode\": \"list\",\n \"cachedResultName\": \"pr_merged_qa_notify\"\n }\n },\n \"id\": \"1cc89e6b-684e-400f-af90-21a03d5e655a\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"941e79fa-7702-4da0-9751-87c1f084939e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dade008a-5f65-455b-bfea-a753f7660c1c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"d19a0335-d41f-496d-b2be-def94eba688e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'PR Merged QA Notify':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for PR Merged QA Notify\"\n }\n },\n \"id\": \"0d91b02f-3e72-4411-9a78-8edebafc6e89\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"PR Merged QA Notify\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e890dbeb-aecd-498f-95cf-4a3e50e52986\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"PR Merged QA Notify error: {$json.error.message}\"\n },\n \"id\": \"605ca1e7-fdcb-4af7-88bb-fbab52f29ef9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "PR Merged QA Notify", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Price Update Google Sheet", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Price Update Google Sheet\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Price Update Google Sheet\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"f3d6c335-fb6d-4c4a-8ac0-ccb129e29942\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"price-update-google-sheet\"\n },\n \"id\": \"f94f069c-11c3-4281-8363-6143ab7d8337\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"be6adfed-ae72-4bf6-ab77-932134c3c357\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"34dd45c7-5971-4417-922e-861b45772f9e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"price_update_google_sheet\"\n },\n \"id\": \"d9a146d9-c5ff-42b3-a92f-65385c6cb8c4\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"price_update_google_sheet\"\n },\n \"id\": \"7e074789-1e7e-4285-9a25-ec3915715115\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4c5a9833-b4da-47db-825e-27ec760c2ef3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3abb71e4-2a79-4072-8bef-64eea7d0718b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"67055632-9263-459a-acf9-a578009611d6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Price Update Google Sheet':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Price Update Google Sheet\"\n }\n },\n \"id\": \"196fb37e-f887-4265-a5ee-a688df670ce0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Price Update Google Sheet\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2bf8dbc5-1f61-4be9-b422-b422509cf571\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Price Update Google Sheet error: {$json.error.message}\"\n },\n \"id\": \"bd2a2057-11a1-4297-b119-8926dd9e3716\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Price Update Google Sheet", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to record crypto prices", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Record Crypto Prices\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Record Crypto Prices\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"33fd92b4-df59-448f-995b-42c96db9ab1d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"record-crypto-prices\"\n },\n \"id\": \"979c1efe-0dfc-4ed9-9490-d7fb951553bd\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8ed3bce0-7f2c-4675-9f9f-8e15834d4b09\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"8cecb33f-8415-449f-ad0e-0ffbf5c89806\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"record_crypto_prices\"\n },\n \"id\": \"0df6f3cb-994a-40cf-bb8e-0f656791676b\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"record_crypto_prices\"\n },\n \"id\": \"b77ba910-a3b2-41fb-809a-f8e7019d7386\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"39b77868-e3e7-4e3b-a267-7e7a0cf4861c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7563f32a-87c1-496e-9599-c3f1e87c9314\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"852da90d-bfe7-4ce1-aaf8-eb7f7c287906\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Record Crypto Prices\"\n }\n },\n \"id\": \"362d8fb2-07fb-4ad0-8e85-3a88eab2df6b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Record Crypto Prices\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"35819836-2d6e-4e92-9d02-df466443b2ed\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Record Crypto Prices error: {$json.error.message}\"\n },\n \"id\": \"51450e2f-fc86-497d-a66a-636b5d24fee1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Record Crypto Prices", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Return Ticket Assignment?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Return Ticket Assignment\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Return Ticket Assignment\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"cbf21ee8-16ca-407f-a884-b0526e4a2eb1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"return-ticket-assignment\"\n },\n \"id\": \"7c5bb0f6-8671-4667-836c-1500b9ce84fc\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0de0f19b-17ba-486a-a671-12112ba4de71\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ab8bfdd4-5f61-41a9-bed3-ffdf8f5d5db1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"return_ticket_assignment\"\n },\n \"id\": \"368b46e7-74fe-416b-9777-16cf44229b82\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"return_ticket_assignment\"\n },\n \"id\": \"a8bd3df3-542b-45cd-b8f0-ec90890e6fec\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"aaacc9b7-0890-45a6-8fed-5536818481e1\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ec45d993-1d63-4f02-87b6-69463dad4993\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"0a9ff85c-45c7-444d-a5a3-746727f1ca74\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Return Ticket Assignment':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Return Ticket Assignment\"\n }\n },\n \"id\": \"f00a1845-2a8f-4e61-859b-dfd99c63fa83\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Return Ticket Assignment\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e9883d8f-0e72-4eeb-b27b-e337525028e4\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Return Ticket Assignment error: {$json.error.message}\"\n },\n \"id\": \"26cf514c-271c-48ca-aa4d-07b5ce29bbdf\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Return Ticket Assignment", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to rss headlines slack", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"RSS Headlines Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: RSS Headlines Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"eef04ed8-9911-437e-a4de-a97bb4008584\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"rss-headlines-slack\"\n },\n \"id\": \"9a8d1358-96d4-4234-a729-4e0e4ced17f3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b65c9914-f17c-40e3-b297-4829b6ca48c0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"794ba230-95a3-4309-ab88-e048833c8f32\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"rss_headlines_slack\",\n \"mode\": \"list\",\n \"cachedResultName\": \"rss_headlines_slack\"\n }\n },\n \"id\": \"121535eb-291a-43da-beef-22fb7b8e61e2\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"rss_headlines_slack\",\n \"mode\": \"list\",\n \"cachedResultName\": \"rss_headlines_slack\"\n }\n },\n \"id\": \"1007022a-f3f8-45e0-a172-3a722ef55013\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"45bba375-133f-4e21-b3f5-44129052232c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4260b8fd-8881-4c50-8d0c-ec3ff10dd94e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5dc099ae-249d-409d-acf2-1f6a50ecc270\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'RSS Headlines Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for RSS Headlines Slack\"\n }\n },\n \"id\": \"f799ca8c-9622-4a74-b21a-6c84c8ec458a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"RSS Headlines Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"24e74dce-aaf5-48d8-abd9-4a052dbb378c\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"RSS Headlines Slack error: {$json.error.message}\"\n },\n \"id\": \"b225130c-f97e-4652-baac-a2afd1049a9d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "RSS Headlines Slack", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Server Health Grafana\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Server Health Grafana\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d2ba1e2d-bcbc-45e4-bd37-73668fce5802\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"server-health-grafana\"\n },\n \"id\": \"eb7fca76-66e2-4fa1-ab00-09b4c0817961\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7db01be8-61d6-4c89-9800-db7b62eb7fcf\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"66a0f30e-32ee-4ef3-823c-82b4a1af354c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"server_health_grafana\"\n },\n \"id\": \"6ea57ca4-3426-4820-a293-78565186c35e\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"server_health_grafana\"\n },\n \"id\": \"443a366d-7547-4bda-b066-91fb43d60aed\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fdbc5d42-f717-414e-a775-235a0de386e9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"48c210ef-2004-4ef4-b2f9-d2dab2f5d391\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"86681bd5-9377-4348-a411-caf2a0b9887b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Server Health Grafana':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Server Health Grafana\"\n }\n },\n \"id\": \"78773e49-4558-4ec1-a740-adfd2f177a9f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Server Health Grafana\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"77eccce3-bf9e-4d3a-9262-820db8faaeec\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Server Health Grafana error: {$json.error.message}\"\n },\n \"id\": \"2f5f6b7a-45d8-4f54-8b06-af95c6032926\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Server Health Grafana", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Starred Slack To Notion?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Starred Slack to Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Starred Slack to Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"3394fb98-3259-414f-bc1e-a478f9bb48ce\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"starred-slack-to-notion\"\n },\n \"id\": \"634c2549-c8a7-4ed6-9f8f-286ac52e728e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"496b5b4a-59fb-48d9-834c-8e43123d4f40\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"86d40b9f-1b53-4751-a02f-6fc7cda4543c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"starred_slack_to_notion\"\n },\n \"id\": \"d83c9acd-dd15-4965-b024-51acdea5d1be\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"starred_slack_to_notion\"\n },\n \"id\": \"41eed679-dece-4a2c-96ea-8a97076c3429\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"efc47245-60b6-4692-84aa-1a2a0c0c1324\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1c9592de-238c-492a-9a0c-87390d366956\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"eab396da-9252-4a29-964c-0aa3abac4044\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Starred Slack to Notion':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Starred Slack to Notion\"\n }\n },\n \"id\": \"103d9ff8-a291-46fc-aa5b-fbdef7f6c61d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Starred Slack to Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"0af20245-042c-4192-beb1-915218f01f11\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Starred Slack to Notion error: {$json.error.message}\"\n },\n \"id\": \"a765761c-52d0-4e72-a26f-9fd514a9a2b1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Starred Slack to Notion", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to survey auto analyze", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Survey Auto Analyze\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Survey Auto Analyze\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e57a6111-23c7-46fc-8321-8cb81c12e0ff\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"survey-auto-analyze\"\n },\n \"id\": \"69582a00-cb89-4618-9181-ed5c900b5d37\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"38c659ff-d227-436b-ace0-e8f19d04be21\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"7e5e5bb2-b8ac-410a-8daa-41d994652f61\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"survey_auto_analyze\",\n \"mode\": \"list\",\n \"cachedResultName\": \"survey_auto_analyze\"\n }\n },\n \"id\": \"01a6fea8-0a4f-4a2b-941c-95f1fd7c7f87\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"survey_auto_analyze\",\n \"mode\": \"list\",\n \"cachedResultName\": \"survey_auto_analyze\"\n }\n },\n \"id\": \"c81e7845-06d4-4653-aa6f-c8f86c47ed5b\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d7ee429c-5e5a-4fc1-aaa5-5487bade9563\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c420b709-36dd-41f0-877e-776b99b5bb7c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"b184a9f5-b15c-4870-9484-4d7645bb0fb5\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Survey Auto Analyze':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Survey Auto Analyze\"\n }\n },\n \"id\": \"9b3a3954-60fa-4819-8dd1-9f7dfb9753f1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Survey Auto Analyze\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"349b2a7a-e0c7-4629-83d5-42656bb34486\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Survey Auto Analyze error: {$json.error.message}\"\n },\n \"id\": \"304fd227-5d2b-4dd6-9ddc-1f79adc5aade\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Survey Auto Analyze", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Toggl Daily Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Toggl Daily Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"90116b46-a456-448a-9dda-333b3688f86c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"toggl-daily-report\"\n },\n \"id\": \"3fbc7512-72c5-46c4-bd02-573c27d029f1\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e5106852-2d61-4bdd-bbfb-53ca2517555d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"1118d7ea-3e7d-411f-85e8-ad0de51c3e88\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"toggl_daily_report\",\n \"mode\": \"list\",\n \"cachedResultName\": \"toggl_daily_report\"\n }\n },\n \"id\": \"7b34c0e1-07d7-4488-b794-7d394b5fab7b\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"toggl_daily_report\",\n \"mode\": \"list\",\n \"cachedResultName\": \"toggl_daily_report\"\n }\n },\n \"id\": \"506ba0dd-a095-4a85-8d63-36b7fbae2fbf\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1683b741-68d8-45fd-a976-4cc8ef37a47a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e8d33ed2-1eba-427d-a874-e9b3b32d2b49\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"e3f9ca1d-92c7-41f5-8da1-0855273f5dd3\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Toggl Daily Report':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Toggl Daily Report\"\n }\n },\n \"id\": \"4b343b9b-415f-4f66-b7dd-c7efb87ac836\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Toggl Daily Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2d657857-6a0c-48ff-9f2f-edcaffa10f0e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Toggl Daily Report error: {$json.error.message}\"\n },\n \"id\": \"9747b5e6-d32e-4038-aa7f-620f9e5ff58f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Toggl Daily Report", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for unsplash to pinterest", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Unsplash to Pinterest\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Unsplash to Pinterest\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8da48de7-ef4d-4d78-8c0e-3c6b57ef3b9a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"unsplash-to-pinterest\"\n },\n \"id\": \"672c0eab-878f-484d-a072-9482935437c4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"87553792-b816-44e2-ac2f-64d0f9a5adf5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"d8a5b9d0-b59f-49d2-9b1c-99149dd6d71b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"unsplash_to_pinterest\"\n },\n \"id\": \"6f194f04-7764-4a60-a36a-027d5c1410f7\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"unsplash_to_pinterest\"\n },\n \"id\": \"9f1eabc4-1dfe-4271-94e3-e1ec9b402828\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"20fe470d-efef-462c-8641-13589cf31512\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e9979d17-c88a-4964-81d8-c5508f03d709\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"e3ac4cbe-35ee-48d3-bb1d-f840f6ee1b77\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Unsplash to Pinterest':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Unsplash to Pinterest\"\n }\n },\n \"id\": \"8b13c89e-4f09-4e5a-9ef9-bcea4bc692de\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Unsplash to Pinterest\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"d273d2ef-dd98-4e0d-a03f-77e5d22e772e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Unsplash to Pinterest error: {$json.error.message}\"\n },\n \"id\": \"8cddb37e-ed6a-4ad5-a88e-e2b393f07114\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Unsplash to Pinterest", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "Build a workflow for: Voice Task To Notion", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Voice Task to Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Voice Task to Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"788c7113-8566-49c8-b7af-3313f57a479c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"voice-task-to-notion\"\n },\n \"id\": \"aaf99a8a-1412-455a-97ed-f853121f366f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"917142f0-7738-4fde-b862-b763463248a6\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"b17227b4-2631-41f6-bc3b-45ca977de46a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"voice_task_to_notion\"\n },\n \"id\": \"7f0fa79f-e276-4a66-8120-66e94ba4c045\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"voice_task_to_notion\"\n },\n \"id\": \"a9a11174-df20-483b-85fd-d9126b715aca\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"b337a057-1ccd-46d1-9d44-ee1512a8c5cd\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ca6d53a5-1b46-43c4-8dfa-86e38c115898\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"69538d38-2f88-41bb-ad85-3370afbbc873\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Voice Task to Notion':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Voice Task to Notion\"\n }\n },\n \"id\": \"f1388a0a-3d58-4291-8538-f82000579f4c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Voice Task to Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"b92d452b-d59b-4177-a4fa-4985b33bdb44\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Voice Task to Notion error: {$json.error.message}\"\n },\n \"id\": \"ea200b2e-d1ad-45e5-9d39-4b502e4f6f86\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Voice Task to Notion", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for weekly notes backup", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weekly Notes Backup\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Weekly Notes Backup\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"09f96970-f5ea-401a-bf0b-0035b1ae502a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weekly-notes-backup\"\n },\n \"id\": \"0cf773d3-bb5a-467b-8059-746735a95815\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"34029e24-83b2-4e0d-afe4-52510a3c20e4\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"0318220f-be7c-43ff-8b23-01bc841d6160\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"weekly_notes_backup\"\n },\n \"id\": \"b6c46a40-013a-45fc-b942-614ea6a9077b\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"weekly_notes_backup\"\n },\n \"id\": \"d154672e-8623-47e1-bd2f-eb50df358f3e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"5e598772-1a0b-4afb-8fcd-4339843923c0\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0d9605c9-b48d-4509-b542-5b671f4c5609\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"94e7ea25-d825-4729-ad5a-b9a545f7fc43\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Weekly Notes Backup':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Weekly Notes Backup\"\n }\n },\n \"id\": \"4497ea3b-8f08-4db2-a18a-c0d2e2d4c1f4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Weekly Notes Backup\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e91c44c2-ae2f-4c8b-a49c-86b529efb775\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Weekly Notes Backup error: {$json.error.message}\"\n },\n \"id\": \"49273683-737d-48b5-bf48-48d3233437f8\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weekly Notes Backup", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Woo Order Mailchimp?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Woo Order Mailchimp\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Woo Order Mailchimp\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"0dd507e4-f32b-4c4c-85d9-26316c63c0e0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"woo-order-mailchimp\"\n },\n \"id\": \"42aa0b71-1c9f-48d7-b339-94919de26da1\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"38bd53d5-c599-45cb-bd28-f52fe513a687\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"fbb0666b-b845-4490-ad86-25713c97a122\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"woo_order_mailchimp\"\n },\n \"id\": \"d85253d5-b3b8-452b-8153-996f7b6c9bca\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"woo_order_mailchimp\"\n },\n \"id\": \"6cefb367-4cde-4c48-bdb8-c90ecc5215fc\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"356012ed-5c87-4b07-8ddb-e0afe3c3faec\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"12fd721e-e3f6-4f61-a709-2b4c9821e373\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a16d1695-9c1a-40f7-86a9-99b081045a20\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Woo Order Mailchimp':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Woo Order Mailchimp\"\n }\n },\n \"id\": \"10ea4d67-7ee6-466f-b8c9-5847177d478a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Woo Order Mailchimp\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"fb5c5c60-aa5d-40fb-aeed-e6a47f4bc030\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Woo Order Mailchimp error: {$json.error.message}\"\n },\n \"id\": \"d54c4d1f-2ce2-431d-8a37-2f2e6d23f6da\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Woo Order Mailchimp", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for zoom attendance log", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Zoom Attendance Log\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Zoom Attendance Log\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"30425599-20bc-4cab-84fb-a97a7d936dd8\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"zoom-attendance-log\"\n },\n \"id\": \"40e28ff7-25fe-4260-9dff-fc7b0fb83b9e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0ebd915f-62ad-4a37-ae47-94a492b82d74\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"97982daf-72b3-4c42-aea3-e33642422cfd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"zoom_attendance_log\"\n },\n \"id\": \"092e9417-d39a-407f-8c39-2bc28184c6ea\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"zoom_attendance_log\"\n },\n \"id\": \"93de8859-cdbb-4783-9706-5696e8ba6876\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"a729203a-897a-4851-a525-8291cf9589dd\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"38493122-32dc-4b8e-b56f-53f6837c0d7a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"68814235-d4fc-4c02-b9ba-776e84284e5a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Zoom Attendance Log':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Zoom Attendance Log\"\n }\n },\n \"id\": \"ea407af4-b883-4fc3-84df-3c04e885c01c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Zoom Attendance Log\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"ccf323a1-9823-458d-ac99-44cbe2ec704c\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Zoom Attendance Log error: {$json.error.message}\"\n },\n \"id\": \"f15f021b-938c-4521-86ff-648a8169309f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Zoom Attendance Log", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Build a workflow for: Morning Briefing Email", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Morning Briefing Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Morning Briefing Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"290fb569-25f2-4464-8d96-bab3c4cb3276\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"morning-briefing-email\"\n },\n \"id\": \"13727821-7b64-46b6-96bd-7b97dd43d06e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b0725ca4-2727-4201-a9bd-cb219ff1508f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"af97f001-e5ea-49fb-ac6b-b2d30730c3e8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"morning_briefing_email\"\n },\n \"id\": \"63c51bdb-fbd9-43a9-bacf-f5c6d39aedb3\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"morning_briefing_email\"\n },\n \"id\": \"8304ff6a-c852-4c49-895c-00ac13314028\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e330bfdb-576e-44d1-b8cf-73a829b898e3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ab1dd014-0dc8-4635-9dad-f728310f2b86\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"6320a7d3-7bc0-47cf-9052-43a60ad9ae28\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Morning Briefing Email':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Morning Briefing Email\"\n }\n },\n \"id\": \"f0c605d8-4612-4402-80ee-ae9e9d05044d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Morning Briefing Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"101334a4-b2d6-4095-b095-f0934b2f17af\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Morning Briefing Email error: {$json.error.message}\"\n },\n \"id\": \"7e567cd3-ecc8-4b95-80e4-a9a8a12de770\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Morning Briefing Email", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Airbnb Guest Assistant?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 26\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolSerpApi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.memoryZep, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Airbnb Guest Assistant\",\n \"nodes\": [\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5c8d2013-4bb8-476b-84a3-4b2ddea3e569\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 640,\n 360\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"042a2eee-5990-4018-88eb-de3b2955897d\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 1660,\n 360\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"root\",\n \"cachedResultName\": \"/ (Root folder)\"\n },\n \"options\": {}\n },\n \"id\": \"a96ced6d-426f-48aa-b174-eb3a64332671\",\n \"name\": \"Google Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n -160,\n 780\n ],\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"vBDzrDMXMNFgtVf9\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"download\",\n \"fileId\": {\n \"__rl\": true,\n \"value\": \"https://drive.google.com/file/d/1Ce2evOt4kIxYgCIIWOTKjDYw_TEwwhtq/view?usp=drive_link\",\n \"mode\": \"url\"\n },\n \"options\": {\n \"binaryPropertyName\": \"data\",\n \"googleFileConversion\": {\n \"conversion\": {\n \"docsToFormat\": \"text/plain\"\n }\n }\n }\n },\n \"id\": \"071ab689-351e-45d7-96e0-828ac0b92f3b\",\n \"name\": \"Get File Content\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 60,\n 780\n ],\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"vBDzrDMXMNFgtVf9\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"dc21a412-1967-4ad7-8484-ccf379632da8\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"typeVersion\": 1,\n \"position\": [\n 600,\n 1000\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 500,\n \"chunkOverlap\": 50\n },\n \"id\": \"3e3b38e8-89a1-4292-b254-9aa347bf6c02\",\n \"name\": \"Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n 600,\n 1180\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"text\",\n \"options\": {}\n },\n \"id\": \"24aff186-ef93-4a34-9adc-30a194a15abb\",\n \"name\": \"Extract from File\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"typeVersion\": 1,\n \"position\": [\n 280,\n 780\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"cb079d86-a333-4073-aede-d4cf4fcd02fb\",\n \"name\": \"Embeddings OpenAI1\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 440,\n 1000\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"content\": \"## Tool to Add a Google Drive File to Vector DB\",\n \"height\": 661.3783861449286,\n \"width\": 1290.2441524753906,\n \"color\": 5\n },\n \"id\": \"a759b89e-8bd7-4a95-80bd-2f77e033de13\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -340,\n 680\n ]\n },\n {\n \"parameters\": {\n \"content\": \"## RAG AI Agent with Chat Interface\",\n \"height\": 711.4232611135845,\n \"width\": 1905.0323056629377\n },\n \"id\": \"be50a82b-531d-4d4b-94f0-93bb6002032a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -40,\n -40\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"639a52f5-5ed6-4d89-8cb4-58c26be2e1e9\",\n \"name\": \"Embeddings OpenAI2\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 1160,\n 500\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"this is the vector database that contains the property info faq and answers. use this first to look for answers.\"\n },\n \"id\": \"0613d2e7-09d6-41be-8e31-87183e20a153\",\n \"name\": \"Vector Store Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 1340,\n 200\n ]\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"air12\",\n \"mode\": \"list\",\n \"cachedResultName\": \"air12\"\n },\n \"options\": {}\n },\n \"id\": \"665c3869-9ce5-4941-a1cd-d03987821328\",\n \"name\": \"Pinecone Vector Store1\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 1300,\n 380\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"ooxyNJwHOsFoFU7W\",\n \"name\": \"PineconeApi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"air12\",\n \"mode\": \"list\",\n \"cachedResultName\": \"air12\"\n },\n \"options\": {}\n },\n \"id\": \"63c508e7-c75d-4412-a8c5-71ae1b3ba685\",\n \"name\": \"Pinecone Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 540,\n 780\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"ooxyNJwHOsFoFU7W\",\n \"name\": \"PineconeApi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"public\": true,\n \"initialMessages\": \"Hi there! 👋\\nMy name is FiFi. How can I assist you today?\",\n \"options\": {}\n },\n \"id\": \"f13700d2-ec9e-4b26-8d56-7b010f07d676\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n 80,\n 300\n ],\n \"webhookId\": \"057f6fe7-e865-42b6-9020-8cc759271eb9\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"d4b513c8-c4a4-4441-ae0d-35cc29240ce0\",\n \"name\": \"sessionId\",\n \"value\": \"={{ $json.sessionId }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"id\": \"5a74cb47-fbe2-4bae-843c-1b3c19142f05\",\n \"name\": \"Captures session id\",\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 380,\n 220\n ]\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $('When chat message received').item.json.chatInput }}\",\n \"options\": {\n \"systemMessage\": \"CURRENT_TIME: {{$json[\\\"timestamp\\\"]}}\\nCURRENT_DATE: {{$json[\\\"formattedDate\\\"]}}\\n\\nYou are a happy and friendly AI assistant for an Airbnb property located at 3009 Grant St., Concord, CA. You are aware of the current date and time shown above.\\n\\nDATA SOURCES:\\n1. ALWAYS check Pinecone database first for answering questions.\\n2. Use SerpAPI only for location/nearby place queries\\n3. NEVER reference the Zep chat memory for answers. \\n\\nTONE:\\nMaintain a warm, friendly, and conversational tone. Use positive and encouraging language, and show empathy when users are frustrated. Keep explanations simple.\\n\\nTERM MATCHING:\\nBefore searching the database, match these variations to the same term:\\n- check in, check-in, checkin → \\\"check-in\\\"\\n- check out, check-out, checkout → \\\"check-out\\\"\\n- wifi, wi-fi, wi fi → \\\"WiFi\\\"\\n- hot tub, hottub, hot-tub → \\\"hot tub\\\"\\n- tv, t.v., television → \\\"TV\\\"\\n\\nSPECIAL RESPONSES:\\n1. For check-in queries: ALWAYS include both time (2 pm) and access code (5555)\\n2. For check-out queries: ALWAYS include both time (12 pm) and closing instructions\\n3. For WiFi queries: ALWAYS include the password\\n4. For amenity queries: ALWAYS include both instructions and link\\n\\nAMENITY LINKS:\\nWhen these items are mentioned, include their link:\\n- TV Remote: [Click here for TV Remote instructions](https://bit.ly/420GR7T)\\n- Hot Tub: [Click here for Hot Tub instructions](https://www.youtube.com/watch?v=vzcO-MvpPks)\\n- Ceiling Fan: [Click here for Ceiling Fan instructions](https://drive.google.com/file/d/1rCvGnm7wJT1dCd60RlEnW6DhcwvWVpOu/view?usp=sharing)\\n- Thermostat: [Click here for Thermostat instructions](https://www.youtube.com/watch?v=cD4ZVG3C7As)\\n- Oven: [Click here for Oven instructions](https://drive.google.com/file/d/1bgUF8Dffo5_E7hv_MFl1TQ1q84fpMJz8/view?usp=drive_link)\\n\\nRESPONSE FORMAT:\\n\\n1. Provide the information from Pinecone's details field\\n2. If it's an amenity with a link, add:\\n \\\"For more information: [LINK]\\\"\\n3. For lists (like games), show each item on a new line with bullet points\\n\\nIF NO INFORMATION FOUND:\\n\\\"I don't have that information in our property database. Please contact the host, Gustavo Uribe, at 925-555-1234 for assistance.\\\"\\n\\nEXAMPLE RESPONSES:\\n\\nCheck-out query:\\n\\\"Based on our property database: Check-out time is 12 pm (noon). Please close all doors and windows, turn off the hot tub, and don't forget your chargers!\\\"\\n\\nHot tub query:\\n\\\"Based on our property database: To turn the hot tub on or off, lift the lever in the grey metal box next to the door. Adjust the jets and water temperature using the panel controls.\\n\\nFor more information: [Click here for Hot Tub instructions](https://www.youtube.com/watch?v=VJVpf6B8l84)\\\"\\n\\nBoard games query:\\n\\\"Based on our property database: A variety of board games and playing cards are located in the main living room closet. The available games are:\\n- Sorry\\n- Codenames\\n- Monopoly\\n- Scrabble\\\"\\n\\nSAFETY GUARDRAILS:\\n\\nAPPROPRIATE TOPICS:\\n\\n\\nOnly provide information directly related to the property, local attractions, and guest services\\nDefer personal or private questions about the host or other guests to the host contact number\\nDo not provide personal information about the host beyond the provided contact details\\nDo not provide information about security systems, cameras, or property vulnerabilities\\n\\n\\nLOCAL RECOMMENDATIONS:\\n\\n\\nOnly use SerpAPI to provide factual information about:\\n\\nRestaurants and dining\\nTourist attractions\\nShopping areas\\nParks and recreation\\nPublic transportation\\nEmergency services\\n\\n\\nDo not provide recommendations for:\\n\\nAdult entertainment\\nIllegal activities or substances\\nPrivate residences\\nNon-public locations\\n\\nEMERGENCY SITUATIONS:\\n\\n\\nFor medical emergencies: Direct guests to call 911\\nFor non-emergency maintenance issues: Provide host contact information\\nFor safety concerns: Direct to appropriate emergency services\\nNever attempt to provide medical, legal, or safety advice\\n\\n\\nINAPPROPRIATE REQUESTS:\\n\\nDecline requests for:\\n\\nAdditional guests beyond capacity\\nLate check-out without host approval\\nAccess to restricted areas\\nProperty modifications\\nHost's personal information\\nOther guests' information\\nSecurity system information\\n\\n\\nResponse for inappropriate requests:\\n\\\"I apologize, but I cannot assist with that request. Please contact the host, Gustavo Uribe, at 925-555-1234 for any special arrangements or concerns.\\\"\\n\\n\\nDISPUTE HANDLING:\\n\\nDo not engage in:\\n\\nPayment disputes\\nDamage claims\\nReservation modifications\\nGuest conflicts\\n\\n\\nDirect all such matters to the host or Airbnb support\"\n }\n },\n \"id\": \"ff860b0a-6d87-4f51-9352-a51853bd9599\",\n \"name\": \"RAG AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1.6,\n \"position\": [\n 900,\n 80\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.toolSerpApi\",\n \"typeVersion\": 1,\n \"position\": [\n 1060,\n 300\n ],\n \"id\": \"df63946f-426f-4484-aa4e-b4dae4ff6a26\",\n \"name\": \"SerpAPI\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"lsbBUPJ5EVjCl45d\",\n \"name\": \"SerpAPI account\"\n }\n }\n },\n {\n \"parameters\": {\n \"sessionIdType\": \"customKey\",\n \"sessionKey\": \"{{ $json.session_id || Math.random().toString(36).substring(2, 10) }}\"\n },\n \"type\": \"@n8n/n8n-nodes-langchain.memoryZep\",\n \"typeVersion\": 1.3,\n \"position\": [\n 840,\n 520\n ],\n \"id\": \"6fbfe3c1-bea5-459f-b2b6-586a59cae105\",\n \"name\": \"Zep\",\n \"credentials\": {\n \"zepApi\": {\n \"id\": \"TRvT6eCcKfl5vpOz\",\n \"name\": \"Zep Api account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://api.getzep.com/api/v2/sessions-ordered\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"zepApi\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"=Authorization\",\n \"value\": \"API-Key z_1dWlkIjoiZmRmMzI0ZDMtMWUyNy00OTI0LTgzZDQtYTQ4Yzc5MWVjYjc4In0.WSX3jgySGOVMlDdWa8P7dcqQ0t1nP3Pw-HIWY0rY7Z3k98hTotTitSDg2oV3-bbv1HSSDXKT5gj-HOcWyfuR8g\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2160,\n 880\n ],\n \"id\": \"c7953720-fd35-4b52-8a51-fdb5ec88ef20\",\n \"name\": \"HTTP Request\",\n \"credentials\": {\n \"zepApi\": {\n \"id\": \"TRvT6eCcKfl5vpOz\",\n \"name\": \"Zep Api account\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Parse the input data\\nconst data = JSON.parse($json.data);\\n\\n// Extract the sessions array\\nconst sessions = data.sessions || [];\\n\\n// Map the sessions array to extract only session_id\\nreturn sessions.map(session => {\\n return {\\n json: {\\n session_id: session.session_id\\n }\\n };\\n});\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n 2380,\n 880\n ],\n \"id\": \"dce5991a-f972-4f85-aa38-a350a651efb6\",\n \"name\": \"Code\"\n },\n {\n \"parameters\": {\n \"url\": \"={{$json[\\\"url\\\"]}}\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"zepApi\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"=Authorization\",\n \"value\": \"API-Key z_1dWlkIjoiZmRmMzI0ZDMtMWUyNy00OTI0LTgzZDQtYTQ4Yzc5MWVjYjc4In0.WSX3jgySGOVMlDdWa8P7dcqQ0t1nP3Pw-HIWY0rY7Z3k98hTotTitSDg2oV3-bbv1HSSDXKT5gj-HOcWyfuR8g\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2920,\n 880\n ],\n \"id\": \"ae84b765-9967-4ea1-922f-6866d0b3a1f9\",\n \"name\": \"HTTP Request1\",\n \"credentials\": {\n \"zepApi\": {\n \"id\": \"TRvT6eCcKfl5vpOz\",\n \"name\": \"Zep Api account\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create dynamic URLs for each session ID\\nreturn items.map(item => {\\n return {\\n json: {\\n session_id: item.json.session_id,\\n url: `https://api.getzep.com/api/v2/sessions/${item.json.session_id}/memory`\\n }\\n };\\n});\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n 2640,\n 880\n ],\n \"id\": \"74f4922f-72a6-4dac-823a-9d2105b37186\",\n \"name\": \"Code1\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Input is expected to contain multiple sessions, each with \\\"messages\\\" and \\\"facts\\\"\\n// Split sessions and structure the output\\n\\n// Simulate two sessions based on input data\\nconst sessions = [\\n {\\n session_id: \\\"Session 1\\\",\\n messages: [\\n {\\n uuid: \\\"937b7674-231a-4c4e-baa1-44dcf4727201\\\",\\n created_at: \\\"2024-12-18T22:52:30.849671Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"Human\\\",\\n role_type: \\\"user\\\",\\n content: \\\"where can i park?\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"cf67088c-925b-4fe8-a52c-d3b0a7782db0\\\",\\n created_at: \\\"2024-12-18T22:52:30.849671Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"AI\\\",\\n role_type: \\\"assistant\\\",\\n content: \\\"You’ve got parking options! 🚗 You can park in the driveway or find a spot on the street. Just remember, no parallel parking in your dreams! Happy parking!\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"718f25e3-0d0a-4c05-bc41-f4ea30780d77\\\",\\n created_at: \\\"2024-12-19T00:42:53.057886Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"Human\\\",\\n role_type: \\\"user\\\",\\n content: \\\"what are some good italian restaurants nearby\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"5e98aed7-d11a-47ff-ad7b-609fb26c0916\\\",\\n created_at: \\\"2024-12-19T00:42:53.057886Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"AI\\\",\\n role_type: \\\"assistant\\\",\\n content: \\\"Here are some delicious Italian restaurants nearby...\\\",\\n token_count: 0\\n }\\n ],\\n facts: [\\n \\\"The closet contains a variety of board games.\\\",\\n \\\"Board games are located in the closet.\\\",\\n \\\"Board games are perfect for a fun game night.\\\"\\n ]\\n },\\n {\\n session_id: \\\"Session 2\\\",\\n messages: [\\n {\\n uuid: \\\"8984547c-bc9d-4d75-81e7-bc6008a9e59b\\\",\\n created_at: \\\"2024-12-18T20:09:12.296453Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"Human\\\",\\n role_type: \\\"user\\\",\\n content: \\\"what pre-rolls do you have?\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"5c3a19bb-b944-4156-a50b-827e97e93c14\\\",\\n created_at: \\\"2024-12-18T20:09:12.296453Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"AI\\\",\\n role_type: \\\"assistant\\\",\\n content: \\\"I'm sorry, but it seems I don't have the current information on available pre-rolls at the moment...\\\",\\n token_count: 0\\n }\\n ],\\n facts: [\\n \\\"AI suggests exploring other product types.\\\",\\n \\\"AI (assistant) currently has 'Edible - Cookies' available.\\\"\\n ]\\n }\\n];\\n\\n// Transform each session into an output item\\nreturn sessions.map(session => {\\n return {\\n json: {\\n session_id: session.session_id,\\n messages: session.messages, // Include all messages for the session\\n facts: session.facts // Include all associated facts\\n }\\n };\\n});\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n 3140,\n 880\n ],\n \"id\": \"61bea00e-9296-40a4-a03b-3625017fe27e\",\n \"name\": \"Code2\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1cGQydmnStiSgDVFWfzh3Z38lNt67Eurn7J-kIjUBuFU\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Zepmemory\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1cGQydmnStiSgDVFWfzh3Z38lNt67Eurn7J-kIjUBuFU/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Sheet1\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1cGQydmnStiSgDVFWfzh3Z38lNt67Eurn7J-kIjUBuFU/edit#gid=0\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"session_id\": \"={{ $json.session_id }}\",\n \"created_at\": \"={{ $json.messages[0].created_at }}\",\n \"updated_at\": \"={{ $json.messages[0].updated_at }}\",\n \"role\": \"={{ $json.messages[0].role }}\",\n \"content\": \"={{ $json.messages[0].content }}\",\n \"token_count\": \"={{ $json.messages[0].token_count }}\",\n \"user_id\": \"={{ $json.messages[0].uuid }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"session_id\",\n \"displayName\": \"session_id\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"created_at\",\n \"displayName\": \"created_at\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"updated_at\",\n \"displayName\": \"updated_at\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"user_id\",\n \"displayName\": \"user_id\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"role\",\n \"displayName\": \"role\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"content\",\n \"displayName\": \"content\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"facts\",\n \"displayName\": \"facts\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"entity_name\",\n \"displayName\": \"entity_name\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"entity_summary\",\n \"displayName\": \"entity_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"context\",\n \"displayName\": \"context\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"token_count\",\n \"displayName\": \"token_count\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"messages\",\n \"displayName\": \"messages\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 3360,\n 880\n ],\n \"id\": \"c39e31ac-3381-4642-a2b4-98000ce8f5bf\",\n \"name\": \"Google Sheets\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"IKl9sX1aVQI8pvAf\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 900,\n 320\n ],\n \"id\": \"ba75fef4-c65d-42e4-948c-d53104d34bb6\",\n \"name\": \"Window Buffer Memory\"\n }\n ],\n \"connections\": {\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get File Content\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract from File\": {\n \"main\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI1\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI2\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store1\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Vector Store1\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"Captures session id\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Captures session id\": {\n \"main\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SerpAPI\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Zep\": {\n \"ai_memory\": [\n []\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code\": {\n \"main\": [\n [\n {\n \"node\": \"Code1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code1\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Code2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code2\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"staticData\": null,\n \"pinData\": {},\n \"triggerCount\": 2,\n \"meta\": null\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Airbnb Guest Assistant", "node_count": 26, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"HOA Fee Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## HOA Fee Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"4afac323-5876-45a8-bccd-7dcbeb0d05ae\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"hoa_fee_analyzer\"\n },\n \"id\": \"170dc7af-c8e4-4420-9a4e-80c0a62ff3df\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"bbf26500-857a-47ce-9dab-5a1bbc3a0029\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"dc4d3b33-40b8-4414-81e6-ca74e48ad493\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"hoa_fee_analyzer\"\n },\n \"id\": \"e96269e1-5bf2-4422-afc4-b33472a46cf2\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"hoa_fee_analyzer\"\n },\n \"id\": \"02a2e7c7-2457-467f-adec-04c8b3f7da82\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"0de505bb-2592-406d-92dc-f56bc9bb6f3f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"132e0e2b-e8e4-43c8-841e-d89830fa7a7f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a5bd7242-10d9-4386-8d3d-dfa03c4e369a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d991fa78-4870-4dc8-ae72-c1f25a91a61e\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f898e01a-ebd6-40aa-b6c3-1c513f398ef8\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "HOA Fee Analyzer", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for lead scoring with mls data", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Lead Scoring with MLS Data\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Lead Scoring with MLS Data\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"b3e798e0-f54d-43bf-9115-803ed5440da0\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"lead_scoring_with_mls_data\"\n },\n \"id\": \"91731293-a22d-4e7f-a326-e4370193b2ec\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c66ae7bb-3ce4-49f9-aa05-74097ff017d1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"dd94a3be-6fef-4337-a815-2ea920012b1e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"lead_scoring_with_mls_data\"\n },\n \"id\": \"11d992bd-c645-440a-b946-c8603d2e52a5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"lead_scoring_with_mls_data\"\n },\n \"id\": \"d6d1a18d-3612-438e-8509-1dd7c6e2f6a4\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"6d3594e7-3e47-41cd-810e-4d415bea9e31\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7ad970e6-4176-4eac-b242-904e6cd0011b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d6c9338c-bc66-4036-9a16-ca9e9e302e90\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"8ee19830-3676-4825-bad4-e7768bd6be95\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a6a6cccb-aa45-42da-bbf1-198fba885857\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Lead Scoring with MLS Data", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Mortgage Rate Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Mortgage Rate Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Mortgage Rate Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e7f69fa7-a800-43bc-b113-061d37523f4d\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mortgage_rate_alert\"\n },\n \"id\": \"3b8e8fe5-3986-44f2-9306-790e2ae3119f\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"dc561d99-0499-4c81-a7e5-e59ced66a2d5\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e867ce4b-bebb-484e-a69c-4e287cc7c6bd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"mortgage_rate_alert\"\n },\n \"id\": \"2e5ebbc6-b41e-403b-a20f-32335c185615\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mortgage_rate_alert\"\n },\n \"id\": \"1bba824c-3bf0-478e-9a44-80dcf4354cec\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"94bd1fe4-881f-4ce5-8bed-5d3af96b97a2\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b637c592-cb50-44c1-adb9-011e8777c26d\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"39f9a420-6a85-4abe-abb4-b467878e582f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6a52cdd2-c9b3-450f-8131-0f1acaa404ce\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b7bb9fa0-cdd0-4ea7-b2ee-b0279939be98\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Mortgage Rate Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for neighborhood safety insights", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Neighborhood Safety Insights\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Neighborhood Safety Insights\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6d429e9f-4cf4-413c-992a-934cb55c8e16\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"neighborhood_safety_insights\"\n },\n \"id\": \"8ef7fb3d-575d-4892-8afc-54c302c80b3d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"5b0b3f59-3490-48b0-bfe2-8327f49e9916\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"bc814284-3660-429f-afc4-32ce5c43cb7d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"neighborhood_safety_insights\"\n },\n \"id\": \"fa876356-58fc-4c4d-9eaf-d375d986a76d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"neighborhood_safety_insights\"\n },\n \"id\": \"1fe7c854-514d-4365-9f40-5d5e443a9fec\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"2a2a28cf-9d1b-40b6-ab5f-24a1ff1b27b6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0c114c70-0c3d-4f76-b177-948a72857f4a\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2ed19d0b-5981-4187-ae4a-db60bba6b82a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"fd4845a4-e13e-4ca4-af76-ec8b63b63502\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"9dbfe97d-d0d7-4bb0-a9bc-8cc20d6becb2\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Neighborhood Safety Insights", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Open House Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Open House Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f924cb54-ba11-4cb7-8f29-71b0baca8062\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"open_house_reminder\"\n },\n \"id\": \"4f2c3ae0-9c02-4921-9127-b8be22f97c79\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f8085896-3869-4b45-81a1-fb35887c6582\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c3060c67-0183-4888-bb93-afdc90167a4b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"open_house_reminder\"\n },\n \"id\": \"33aa151a-e859-41bb-beaf-9ba3d6b372f7\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"open_house_reminder\"\n },\n \"id\": \"4831a728-1c61-4914-95ea-3d50700018e2\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"df6c51f6-7b94-444a-9501-32086e7e463c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"392846c4-b5f2-42f8-96f7-9db4226f700e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fcd7abdb-6cb0-4ea6-a9ff-26ad5460c10f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6b05f764-5f33-462f-be12-e3d119822653\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b87baeaf-550a-4ae0-88ae-4ac16afb6ba1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Open House Reminder", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase to property description generator", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Property Description Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Property Description Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"de9e99d7-55a7-4ab5-be65-a76562417c9e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"property_description_generator\"\n },\n \"id\": \"95eaae13-d097-4ee7-850c-dde459bb204a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7fc75187-cc83-48d5-a7e9-dae38978b806\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"9290b626-0263-42be-b96f-5a577b128620\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"property_description_generator\"\n },\n \"id\": \"1e94decf-e2a7-4e6f-b319-6ff1a44eef83\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"property_description_generator\"\n },\n \"id\": \"312a60d1-dcba-4181-b287-a5ecb3469e2e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"8ab3c450-26e0-4b87-a68e-663ab7cfad16\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c87803e6-a97d-4ef9-8c10-e5758445cbc7\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"31cfc461-50a1-422a-9ef3-6cdfa690b52b\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"beb92ab9-ec72-4327-9b30-fdddfd9216e7\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"cee3fcdc-0dc6-4dee-9863-767b4fd805a6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Property Description Generator", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for real estate market trend report", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Real Estate Market Trend Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Real Estate Market Trend Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e5cd3533-af52-45ca-8e52-6086b7d244ea\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"real_estate_market_trend_report\"\n },\n \"id\": \"0501dc92-8312-4244-a68e-0d6c798f9278\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1570ba94-787d-4f3b-b5b5-e614db90bc8d\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f4bd6310-ca6e-46c6-bc83-7e15c0588619\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"real_estate_market_trend_report\"\n },\n \"id\": \"d69bb710-b962-4b60-98cf-efefae8ed524\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"real_estate_market_trend_report\"\n },\n \"id\": \"5aed1ad1-1c3d-4f04-bf89-a3aa11cf4557\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"10f720a6-db13-4540-a66c-e62e9d8c9aaf\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9d5f774a-3ac5-4bef-9e43-7184c59b3f7f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4b64717e-3152-429e-822a-8714766070e3\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"a381694b-832c-4be6-b93a-e3077a8a8efe\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"cc085301-7d71-4b78-a0f2-6b35f03cfe00\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Real Estate Market Trend Report", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Build a workflow for: Rental Price Estimator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Rental Price Estimator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Rental Price Estimator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"522a1c32-482c-4ac3-83bf-a8ae38f035e9\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"rental_price_estimator\"\n },\n \"id\": \"8b1409f9-abae-4c17-8049-ef854d2875b4\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"75e1adde-fad5-43b1-aff6-61a6f37dd10c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"cfaa3081-4cb7-412b-83c0-8dcc28a25224\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"rental_price_estimator\"\n },\n \"id\": \"50813f68-ed6d-46b4-81bd-c44b22b4b378\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"rental_price_estimator\"\n },\n \"id\": \"654d535f-97a6-42b2-8f62-fc5ee805807e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"dfeb7f91-ab52-42b5-b776-1fd67d9fbd79\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3614aecd-22e9-449b-8368-8e238c50faa9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bc73d731-23d4-4294-ad6c-c8a6efe5e7e4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"18a6cf50-4848-4e94-bf5a-c7638f772ab7\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3ba0b33e-9b94-4e0f-82a1-a51408b9ad0d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Rental Price Estimator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Tenant Screening Summary?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Tenant Screening Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Tenant Screening Summary\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3b33eebf-9222-4bd3-b76f-184d65d84dab\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"tenant_screening_summary\"\n },\n \"id\": \"18fe7bca-e67c-47c4-b3ff-1026e4ea6dd2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"49839ad9-502f-469b-a079-ef2ca8f2f0dd\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"647d7561-8466-4208-8895-e9fcb704ac2a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"tenant_screening_summary\"\n },\n \"id\": \"e490ed00-02f9-425c-b529-3b5a3083255e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"tenant_screening_summary\"\n },\n \"id\": \"18a368e6-b6ba-459d-96ea-0155c46b2685\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"a83bba45-b696-4930-a9a0-926690456afa\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ee95789c-9e70-4905-883d-7cc66e61490b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e6431ed2-a268-483d-b15c-a3ab0a795fd1\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"8c55a527-e45c-4813-997b-ec051d3b9529\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"51d31d49-cc35-42ed-b760-e79e47b451e7\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Tenant Screening Summary", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Zoning Regulation Checker", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Zoning Regulation Checker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Zoning Regulation Checker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"07d635fb-5ea6-40db-8eb3-477a78c63232\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"zoning_regulation_checker\"\n },\n \"id\": \"3f13da25-c4d9-47c5-b521-2c2e25635ec3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e4a8e3ef-15b9-4e2a-876b-1d29f56cd0fa\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b40a547d-4b1c-43b3-9820-732c263ce7fd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"zoning_regulation_checker\"\n },\n \"id\": \"d29b865b-9909-4fc4-8785-9a04eb7eee35\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"zoning_regulation_checker\"\n },\n \"id\": \"5ffa1b33-c404-4135-b7fc-097a7af026ed\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"b2752bb3-20d7-43dd-83b5-3a9103d7cd46\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c6319312-5f09-4f7e-8590-0f2c17a5b88c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6da6b757-2fdf-4f85-8e2a-a1d4e15ec9fc\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b5fda3af-1de8-41ba-a7f1-3f0ac4625110\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a01be5c7-9426-4835-b2b9-3d03d1b6622b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Zoning Regulation Checker", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to video automation (images only)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 28\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.wait, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.outputParserStructured\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Video Automation (images only)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"promptType\": \"=define\",\n \"text\": \"=You are a master at creating short-form viral videos. I want your help in generating historical POV videos, in which the user sees POV-style images of an individual throughout a major breakthrough in science in technology. The channel's name is \\\"Before it Changed Everything.\\\"\\n\\nEach video is 25 seconds long, and contains 5 scenes, 5 seconds each.\\n\\nEach scene requires one image and one audio voiceover, so the whole story will consist of 5 images and 5 audios. !important\\n\\nThe entire 25 second video would narrate a short story from that historical era.\\n\\nThe image prompts have to be such that they help the AI model maintain as much consistency from one image to the next. Since it's a POV video, there are very few details of the person itself that must be maintained aside from arms and feet, and torso and legs if visible.\\n\\nevery scene should have the POV individual interacting with a new character or setting, so this would also reduce the need for consistency aside from the same historical time period. However, remember to describe each scene with enough references so that each prompt can work individually.\\n\\nAny visible details of the character (hands feet accessories) must also be referenced in each prompt and described in way that maintains consistency.\\n\\nFor example, if you're describing the battle of Marathon and your first prompt is about an athenian hoplite surrounded by soldiers\\n\\nthe next image prompt must also specify that the soldiers are athenian from the battle of marathon\\n\\nFinally, the script should be such as to give enough details about the event, but not give the actual topic away. The script should always end as - can you guess the discovery - this would be part of the 5th segment, not an addional one\\n\\nHere are three ideal outputs\\n\\nScene 1 – Setting the Type\\n\\nPOV of a young male apprentice working in Johannes Gutenberg’s printing workshop during the creation of the Gutenberg Bible (circa 1454).\\nLocation: Mainz, Germany. Time Period: Mid-15th century. Setting: A medieval print shop at dawn, with timber beams, stone walls, and floors stained with ink. The space is lit dimly by hanging tallow candles and an early morning glow through a small window.\\nVisible Body Parts: Your light-skinned hands are ink-stained and youthful, gripping a wooden composing stick filled with reversed cast-metal movable type. You’re wearing a cream-colored linen shirt with the sleeves rolled to the elbow and a leather apron over the front. Black ink is smudged along your knuckles and fingers.\\nObjects in Scene: Brass typesetting tools, loose metal letter blocks, parchment scraps, candle stubs, wooden tables and shelving lined with ink pots, scrolls, and stacked paper.\\nPeople in Scene: Johannes Gutenberg, a bearded middle-aged man in a dark wool robe, stands beside two young apprentices in plain tunics, one with a leather cap. They are discussing a typeset frame.\\nAtmosphere: The air smells of wax, metal, and damp parchment. The environment is quiet but intense — the only sounds are soft footsteps, the creak of wood, and the delicate click of metal type.\\n\\n🎙️ “Master Gutenberg said today would change the world. I still don’t know how, but I believe him.”\\n\\n⸻\\n\\nScene 2 – Assembling the Page\\n\\nPOV of a young male apprentice working in Johannes Gutenberg’s printing workshop during the creation of the Gutenberg Bible (circa 1454).\\nLocation: Mainz, Germany. Time Period: Mid-15th century. Setting: The composing room of a medieval print shop during mid-morning. Wooden beams stretch across the ceiling. Light streams in from a narrow window, illuminating workbenches and shelves filled with parchment and metal type.\\nVisible Body Parts: Your fair-skinned fingers, stained with black ink and gray lead dust, are delicately arranging tiny reversed metal letters into a composing tray. You wear a loose-fitting white linen shirt with the sleeves pushed up to the elbows. A brown leather apron is partially visible.\\nObjects in Scene: A composing stick and tray, several piles of lead type, an open parchment sample of Latin text, ink cloth, wooden drawers filled with type blocks, and brass tweezers.\\nPeople in Scene: A young boy in a brown woolen cap leans nearby, watching your work. Another apprentice with curly hair sorts letters into compartments in the background.\\nAtmosphere: The room is quiet and focused. Dust floats in the sunlight. The air smells of wax, metal, and ink.\\nImage to video: your hands are gently moving across the composing tray\\n\\n🎙️ “Each letter must be perfect. Backwards, precise, eternal. One mistake, and the whole page is flawed.”\\n\\n⸻\\n\\nScene 3 – Engaging the Press\\n\\nPOV of a young male apprentice operating a wooden printing press in Johannes Gutenberg’s workshop during the creation of the Gutenberg Bible (circa 1454).\\nLocation: Mainz, Germany. Time Period: Mid-15th century. Setting: A candlelit central chamber within a medieval print shop, dominated by a large oak screw press. Afternoon light spills through a small window, mixing with flickering candlelight.\\nVisible Body Parts: Your hands grip a large wooden press lever, forearms straining under effort. Your rolled-up linen sleeves reveal ink-smudged skin. The tops of your worn leather shoes are barely visible below.\\nObjects in Scene: A heavy wooden screw press, a parchment page secured under the press plate, a nearby ink roller covered in thick black ink, rags for cleaning, an oil pot, and drying parchment stacked neatly nearby.\\nPeople in Scene: Johannes Gutenberg stands behind the press with folded arms, observing closely. Another apprentice loads a new forme with type in the background.\\nAtmosphere: The press groans under pressure. The room smells of ink, oil, and scorched parchment. The moment is tense, mechanical, and filled with focus.\\nimage to video: you pull down on the lever\\n\\n🎙️ “We press it down — firm, not forceful. It creaks like an old tree”\\n\\n!Important: make sure every script segment is a little shy of 4 seconds, otherwise the video will become black for that much time.\\n\\nThe theme of this video is {{ $('Google Sheets').item.json.Theme }} and the event I want you to generate a video for is the {{ $('Google Sheets').item.json.Topic }}\",\n \"hasOutputParser\": true\n },\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"typeVersion\": 1.5,\n \"position\": [\n 80,\n -360\n ],\n \"id\": \"ad6cf735-ccc1-46ec-9f6b-71dacc534682\",\n \"name\": \"Basic LLM Chain\"\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\"\n },\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 0,\n -200\n ],\n \"id\": \"e6906ba3-7c93-4771-a0a3-e523a0864541\",\n \"name\": \"OpenAI Chat Model\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ulLOziYE3uIZc6he\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsonSchemaExample\": \"[\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"X\\\",\\n \\\"image-to-video-prompt\\\": \\\"X\\\",\\n \\\"voiceover-script\\\": \\\"The Master says brush before blade. Every stroke must honor the classics. So I copy each character with care.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice carving Chinese characters into a wooden block in a Song Dynasty woodblock printing workshop (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: Mid-morning in a sunlit workshop filled with the scent of sandalwood and ink. Visible Body Parts: Your hands hold a small carving knife, steadying the woodblock with your left hand. Fingernails are stained with ink and sawdust. You're wearing the same indigo scholar robe with a tan hemp sash. Objects in Scene: A rectangular block of pearwood, carving knife set, character sketch, wood shavings, and discarded test blocks. People in Scene: A senior carver leans in, adjusting your grip. Another apprentice carefully sharpens tools beside a table. Atmosphere: Quiet but concentrated, with the soft scraping of blades on wood.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV carving reversed Chinese characters into a woodblock using a fine knife. Your ink-stained hands hold the blade with precision. You're wearing wide blue robes and a hemp sash. A master carver leans in to assist. Around you are test blocks, carving tools, and wood shavings. Light streams through a window. The setting is peaceful and disciplined.\\\",\\n \\\"voiceover-script\\\": \\\"Each cut must be clean. One slip, and the whole block is ruined. My hands shake, but the blade must not.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice inking a carved woodblock in a Song Dynasty printing workshop preparing to print a Confucian text (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: A low wooden table set beside an open window with bamboo blinds. Visible Body Parts: Your hands, darkened slightly with dried ink, gently roll a thin cloth pad across the carved woodblock. Sleeves of your wide indigo robe are tied back with a cord to avoid contact. Objects in Scene: Carved woodblock, ink pad, ceramic ink dish, sheets of xuan paper stacked neatly. People in Scene: An assistant waits nearby, holding parchment. The calligrapher watches silently from across the room. Atmosphere: Meditative and rhythmic, with the scent of ink and aged wood.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV inking a carved woodblock using a cloth pad. Your hands apply ink in smooth strokes. Sleeves are tied back with a cord. Sunlight glows through bamboo blinds. An assistant stands ready with paper. The carved Chinese characters are clearly visible. Traditional setting, calm mood.\\\",\\n \\\"voiceover-script\\\": \\\"The ink must reach every groove, but never flood the wood. I press gently, as I was taught.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice printing a Confucian text by pressing paper onto an inked woodblock in a Song Dynasty workshop (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: A spacious studio with scrolls drying on racks and large tables covered in paper. Visible Body Parts: Your hands smooth a sheet of xuan paper over the inked woodblock, using a bamboo rubbing tool. The same indigo robe and hemp sash are visible as you lean forward. Objects in Scene: The carved woodblock, fresh paper, bamboo baren (rubbing pad), and drying scrolls clipped above. People in Scene: A younger student observes curiously. A supervisor quietly inspects finished prints behind you. Atmosphere: Serious, focused, with the sound of rubbing and distant birdsong through the open shutters.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV printing by pressing paper onto an inked woodblock with a bamboo rubbing pad. Your hands move in circular motions. Robes shift slightly as you lean in. Around you are scroll racks, carved blocks, and parchment. Another student watches your technique. Warm, quiet atmosphere.\\\",\\n \\\"voiceover-script\\\": \\\"My heart races with each rub. When I lift the paper, it will show if I am worthy of the Master’s trust.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice hanging a freshly printed Confucian scroll to dry in a Song Dynasty workshop (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: The drying room of a print shop, with bamboo rods suspended from the ceiling, scrolls clipped neatly in rows. Visible Body Parts: Your hands hold the top of a damp scroll, aligning it with a bamboo line. Fingertips slightly stained. A glimpse of your indigo sleeve and tan sash appear at the edge of the frame. Objects in Scene: Scrolls with bold black characters, wooden pegs, thin cords, incense burner. People in Scene: An elderly scholar passes through behind you, examining the finished work with folded hands. Atmosphere: The room is airy, quiet, and smells of ink, wood, and incense.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV hanging a wet printed scroll onto a drying rack made of bamboo. Your hands gently clip the scroll in place. Ink glistens faintly on the parchment. Scholar robes and sash visible at edge of frame. Elder scholar walks past behind you. Warm, ceremonial feeling.\\\",\\n \\\"voiceover-script\\\": \\\"The ink is still fresh. The words still wet. But soon, this scroll will speak to minds I’ll never meet.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice presenting the completed printed scroll to a noble scholar in a Song Dynasty library (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: A private study with polished wooden floors, lattice windows, shelves of bamboo-bound books, and bronze incense holders. Visible Body Parts: Your hands hold the scroll wrapped in silk, extended forward in offering. The blue sleeves of your scholar’s robe drape down, your feet barely visible on a woven mat. Objects in Scene: A lacquered writing table, a brush holder, open scrolls, jade paperweights. People in Scene: An elderly Confucian scholar in dark green robes receives the scroll with a gentle bow. A servant pours tea in the background. Atmosphere: Silent reverence, with the soft aroma of tea and cedar.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV offering a silk-wrapped printed scroll to a seated scholar in a Song Dynasty study. Your hands extend the scroll respectfully. Robes and mat beneath you visible. The scholar bows slightly. Teacups, incense, and bamboo books line the room. Serene, scholarly tone.\\\",\\n \\\"voiceover-script\\\": \\\"He bows to receive it, but I bow deeper. This scroll carries more than ink — it carries my beginning.\\\"\\n }\\n }\\n]\"\n },\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"typeVersion\": 1.2,\n \"position\": [\n 340,\n -200\n ],\n \"id\": \"ccca4759-b87d-40f2-bba8-27c907dfa9f5\",\n \"name\": \"Structured Output Parser\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"output\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -360\n ],\n \"id\": \"6cb4b514-bd18-4aa3-aacb-983515b308f6\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.replicate.com/v1/models/black-forest-labs/flux-schnell/predictions\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"input\\\": {\\n \\\"prompt\\\": \\\"{{ $json.scene['image-prompt'] }}\\\",\\n \\\"go_fast\\\": true,\\n \\\"megapixels\\\": \\\"1\\\",\\n \\\"num_outputs\\\": 1,\\n \\\"aspect_ratio\\\": \\\"9:16\\\",\\n \\\"output_format\\\": \\\"jpg\\\",\\n \\\"output_quality\\\": 80,\\n \\\"num_inference_steps\\\": 4\\n }\\n } \",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 800,\n -320\n ],\n \"id\": \"864713ce-5191-47cb-a2bf-dffc240a3a7a\",\n \"name\": \"HTTP Request\"\n },\n {\n \"parameters\": {\n \"content\": \"## Generate Images\",\n \"height\": 320,\n \"width\": 1260\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n -440\n ],\n \"typeVersion\": 1,\n \"id\": \"8f93435f-ef35-467c-b64d-56c6f348e410\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"amount\": 7\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 1160,\n -320\n ],\n \"id\": \"24c3f9f8-5eed-434a-a7bc-0ed1891ead75\",\n \"name\": \"Wait\",\n \"webhookId\": \"39ba6c0a-5107-44ad-b812-1616712b4a5b\"\n },\n {\n \"parameters\": {\n \"url\": \"={{ $json.urls.get }}\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1500,\n -320\n ],\n \"id\": \"34215c07-8fed-4762-ad8a-9467acedd680\",\n \"name\": \"HTTP Request1\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.elevenlabs.io/v1/text-to-speech/CwhRBWXzGAHq8TQ4Fs17\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"xi-api-key\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"text\\\": \\\"{{ $('Split Out').item.json.scene['voiceover-script'] }}\\\",\\n \\\"model_id\\\": \\\"eleven_multilingual_v2\\\"\\n}\\n\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1200,\n 120\n ],\n \"id\": \"0e3a74cb-0675-4457-a9dd-f4f5dde87c39\",\n \"name\": \"HTTP Request2\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 900,\n 60\n ],\n \"id\": \"14004132-5149-4e43-bca6-ea706ae71ea0\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"content\": \"## Generate Audio\",\n \"height\": 340,\n \"width\": 1260\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n -40\n ],\n \"typeVersion\": 1,\n \"id\": \"0bbaf443-4638-4616-90bc-a8737a839f87\",\n \"name\": \"Sticky Note2\"\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"name\": \"POV Videos Audio\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"root\",\n \"cachedResultName\": \"/ (Root folder)\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1140,\n -660\n ],\n \"id\": \"989d34b0-b765-477c-b2cc-68d16236dcef\",\n \"name\": \"Google Drive\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"=audio-{{ $runIndex }}.mp3\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"={{ $('Google Drive').item.json.id }}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1540,\n 100\n ],\n \"id\": \"26ec1a16-3470-4e10-bed0-5c7fba9098d5\",\n \"name\": \"Google Drive1\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.creatomate.com/v1/renders\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"template_id\\\": \\\"2dffc678-70b0-47fb-9449-24d7e0cfd625\\\",\\n \\\"modifications\\\": {\\n \\\"Image-1.source\\\": \\\"{{ $json.output[0][0] }}\\\",\\n \\\"Voiceover-1.source\\\": \\\"{{ $json.webContentLink[0] }}\\\",\\n \\\"Image-2.source\\\": \\\"{{ $json.output[0][1] }}\\\",\\n \\\"Voiceover-2.source\\\": \\\"{{ $json.webContentLink[1] }}\\\",\\n \\\"Image-3.source\\\": \\\"{{ $json.output[0][2] }}\\\",\\n \\\"Voiceover-3.source\\\": \\\"{{ $json.webContentLink[2] }}\\\",\\n \\\"Image-4.source\\\": \\\"{{ $json.output[0][3] }}\\\",\\n \\\"Voiceover-4.source\\\": \\\"{{ $json.webContentLink[3] }}\\\",\\n \\\"Image-5.source\\\": \\\"{{ $json.output[0][4] }}\\\",\\n \\\"Voiceover-5.source\\\": \\\"{{ $json.webContentLink[4] }}\\\"\\n }\\n}\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2000,\n 360\n ],\n \"id\": \"8065787a-2ea1-4048-9ab4-d542c1c56769\",\n \"name\": \"Generate Videos\"\n },\n {\n \"parameters\": {\n \"mode\": \"combine\",\n \"combineBy\": \"combineByPosition\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 2000,\n -180\n ],\n \"id\": \"365a00d7-a68e-43fe-934d-4d2252ff6643\",\n \"name\": \"Merge\"\n },\n {\n \"parameters\": {\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"output[0]\"\n },\n {\n \"fieldToAggregate\": \"webContentLink\"\n },\n {\n \"fieldToAggregate\": \"Topic\"\n },\n {\n \"fieldToAggregate\": \"output[4].title\"\n },\n {\n \"fieldToAggregate\": \"output[4].description\"\n },\n {\n \"fieldToAggregate\": \"=drive_folder_id\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.aggregate\",\n \"typeVersion\": 1,\n \"position\": [\n 1980,\n 100\n ],\n \"id\": \"e5db6e05-618a-4771-95e3-e0cdf9380cfd\",\n \"name\": \"Aggregate\"\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"operation\": \"share\",\n \"folderNoRootId\": {\n \"__rl\": true,\n \"value\": \"={{ $json.drive_folder_id }}\",\n \"mode\": \"id\"\n },\n \"permissionsUi\": {\n \"permissionsValues\": {\n \"role\": \"writer\",\n \"type\": \"anyone\"\n }\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1740,\n -660\n ],\n \"id\": \"e2826f54-ff23-4345-a9f5-211f4830e48d\",\n \"name\": \"Google Drive2\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"hours\",\n \"hoursInterval\": 12\n }\n ]\n }\n },\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"typeVersion\": 1.2,\n \"position\": [\n 580,\n -660\n ],\n \"id\": \"6aa01c7f-7d92-4482-ad15-9fbbd22fceac\",\n \"name\": \"Schedule Trigger\"\n },\n {\n \"parameters\": {\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before it changed everything tracker\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Master\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit#gid=0\"\n },\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupColumn\": \"Status\",\n \"lookupValue\": \"Pending\"\n }\n ]\n },\n \"options\": {\n \"returnFirstMatch\": true\n }\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 840,\n -660\n ],\n \"id\": \"53ab19fc-085a-4c2a-8b8b-d6e84ab190f0\",\n \"name\": \"Google Sheets\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"1tkwsToZLlEshQfI\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before it changed everything tracker\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Master\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit#gid=0\"\n },\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupColumn\": \"Status\",\n \"lookupValue\": \"Pending\"\n }\n ]\n },\n \"options\": {\n \"returnFirstMatch\": true\n }\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 740,\n 320\n ],\n \"id\": \"efb08c46-4abb-4630-a6f6-41808a9b6028\",\n \"name\": \"Google Sheets1\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"1tkwsToZLlEshQfI\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"={{ $('Generate Videos').item.json.url }}\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1680,\n 320\n ],\n \"id\": \"e4b52f10-fd72-44bc-a58d-318b2daff27c\",\n \"name\": \"HTTP Request3\"\n },\n {\n \"parameters\": {\n \"name\": \"={{ $('Google Sheets1').item.json.Topic }}\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"1Cay44vDNFZ_zELmV9RsdHTv6UFTAszMc\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before It Changed Everything Videos\",\n \"cachedResultUrl\": \"https://drive.google.com/drive/folders/1Cay44vDNFZ_zELmV9RsdHTv6UFTAszMc\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 760,\n 620\n ],\n \"id\": \"80239a8c-0f12-403e-98ca-c2c9f43e23bc\",\n \"name\": \"Google Drive3\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"unit\": \"minutes\"\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 2300,\n 360\n ],\n \"id\": \"8dae378a-b2cc-4a78-a78f-f5eb08897139\",\n \"name\": \"Wait1\",\n \"webhookId\": \"576048df-e86b-4196-a1c2-54e5775e24d3\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"f151b3ff-0fa1-406a-974d-8c27fbca1a54\",\n \"name\": \"drive_folder_id\",\n \"value\": \"={{ $json.id }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1420,\n -660\n ],\n \"id\": \"36aafa69-2b90-4f9d-b4fb-d41af50e31eb\",\n \"name\": \"Edit Fields\"\n },\n {\n \"parameters\": {\n \"resource\": \"fileFolder\",\n \"queryString\": \"POV Videos Audio\",\n \"limit\": 1,\n \"filter\": {\n \"whatToSearch\": \"folders\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1040,\n 620\n ],\n \"id\": \"1739edb4-89e1-4330-987a-e9ca92ec89ba\",\n \"name\": \"Google Drive4\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"operation\": \"deleteFolder\",\n \"folderNoRootId\": {\n \"__rl\": true,\n \"value\": \"={{ $json.id }}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1280,\n 620\n ],\n \"id\": \"5af28a5c-a855-4c7c-877d-db89127f1069\",\n \"name\": \"Google Drive5\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=You are an expert at creating viral YouTube shorts. I am creating a science video series about {{ $json.Theme }}, and the topic of this video is {{ $json.Topic }}. Please generate a viral title and description for this video. Add the hashtag #shorts at the end of the title, and output as JSON in the following format:\\n\\ntitle:\\ndescription:\\n\\nThe title and description should not give the topic away, because the purpose of the video is to provide clues and context around the topic and encourage people to take a guess as to what it is.\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1080,\n 320\n ],\n \"id\": \"7542aa26-df1d-4bc9-8d2f-2986c12c4911\",\n \"name\": \"OpenAI\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ulLOziYE3uIZc6he\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"update\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before it changed everything tracker\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Master\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit#gid=0\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Topic\": \"={{ $('Google Sheets1').item.json.Topic }}\",\n \"Title\": \"={{ $json.message.content.title }}\",\n \"Description\": \"={{ $json.message.content.description }}\",\n \"Status\": \"Generated\"\n },\n \"matchingColumns\": [\n \"Topic\"\n ],\n \"schema\": [\n {\n \"id\": \"Topic\",\n \"displayName\": \"Topic\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"Theme\",\n \"displayName\": \"Theme\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Status\",\n \"displayName\": \"Status\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Title\",\n \"displayName\": \"Title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Description\",\n \"displayName\": \"Description\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Date Posted\",\n \"displayName\": \"Date Posted\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"row_number\",\n \"displayName\": \"row_number\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"readOnly\": true,\n \"removed\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1440,\n 320\n ],\n \"id\": \"3ef2a4ed-9a80-4938-bd76-6232434ab0ad\",\n \"name\": \"Google Sheets2\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"1tkwsToZLlEshQfI\",\n \"name\": \"Google Sheets account\"\n }\n }\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Basic LLM Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ],\n [\n {\n \"node\": \"HTTP Request2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request2\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive1\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Videos\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Videos\": {\n \"main\": [\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive2\": {\n \"main\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Sheets\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Sheets1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request3\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive3\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Edit Fields\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive4\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive5\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive5\": {\n \"main\": [\n []\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Sheets2\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"d23bee08-a917-49f8-b264-5b873a1fa001\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"fb357db16d4f03c7d7597f4abaa6a5e06176011d3bee518d28bed06754cb1f31\"\n },\n \"id\": \"uzIeHxEXq5Q4DDPA\",\n \"tags\": []\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Video Automation (images only)", "node_count": 28, "category": "General Automation"}}
{"prompt": "Build a workflow for: Alert On Instagram Competitor Story", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Alert on Instagram Competitor Story\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Alert on Instagram Competitor Story\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"21eb9c4e-1dd8-4912-94c8-ae35a24ccf6a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"alert-on-instagram-competitor-story\"\n },\n \"id\": \"3e99ee3b-2943-4242-9d10-4ae5f7c050c4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2ba926bb-eba1-4cf4-b819-263b3727853a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f71bb5cd-2ff0-4822-8464-9b15aaefa469\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"alert_on_instagram_competitor_story\"\n },\n \"id\": \"a39340e4-46ef-4539-a281-1c12638eae78\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"alert_on_instagram_competitor_story\"\n },\n \"id\": \"8fd13893-fe01-4756-ba4b-82297df9c5ec\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1a960c00-32d4-4933-987c-d71e5e38a0e9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2de7c499-82d8-4a23-b6da-d050c3728ea4\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1881ee9b-2e5c-474a-9aa5-4800b1bb655b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Alert on Instagram Competitor Story\"\n }\n },\n \"id\": \"71ac72c2-63dd-4656-a2e1-6e525e685591\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Alert on Instagram Competitor Story\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"350be277-eb68-4a51-b1af-a5280d188c1b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Alert on Instagram Competitor Story error: {$json.error.message}\"\n },\n \"id\": \"a14c656e-41e1-472c-b191-4bec794ad003\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Alert on Instagram Competitor Story", "node_count": 12, "category": "Data Processing + Database"}}
{"prompt": "How would you build: Auto Dm New Twitter Followers?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-DM New Twitter Followers\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-DM New Twitter Followers\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"6c8445ba-33d0-4091-bc77-9206a3e8b3be\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-dm-new-twitter-followers\"\n },\n \"id\": \"f3af4318-25fb-48b3-afcd-b6626ffa4fc3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"5d8f131d-4f2e-4689-941a-71971000788e\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"c16f0e7d-d77e-4bf0-a9b8-aff545ebac3e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-dm_new_twitter_followers\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-dm_new_twitter_followers\"\n }\n },\n \"id\": \"66aa91bd-6e08-4905-92b6-ab70a0a0fb57\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-dm_new_twitter_followers\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-dm_new_twitter_followers\"\n }\n },\n \"id\": \"9e705430-71d8-4f8c-badf-693b26ca753a\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"ca01a22f-5dd8-403c-95ea-f56ba2d0e096\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bab9ab82-93b6-47dd-b15f-8a84bcb46950\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"752644de-7653-4ebb-afe7-9f0afb6d092b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-DM New Twitter Followers\"\n }\n },\n \"id\": \"b22befc8-d57c-4fb2-a104-4fd9e9fbf878\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-DM New Twitter Followers\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"5d5d5e45-7359-4cf9-a630-6592d59cda74\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-DM New Twitter Followers error: {$json.error.message}\"\n },\n \"id\": \"b9362533-2cf6-4f58-980f-829f3483092c\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-DM New Twitter Followers", "node_count": 12, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Auto Post Blogs To Linkedin And Twitter", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-post Blogs to LinkedIn and Twitter\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-post Blogs to LinkedIn and Twitter\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"f6b52b5b-3751-4c22-a6c1-3e5936fb322a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-post-blogs-to-linkedin-and-twitter\"\n },\n \"id\": \"f5a15148-9af1-409b-a4ef-ad2b0e2e2f06\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"121f362d-ae3a-45c8-894d-12e606dab808\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"6a35e11a-dd03-4d95-bcc3-f4f8c85088d5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"auto-post_blogs_to_linkedin_and_twitter\"\n },\n \"id\": \"401ef38d-6acd-41cd-8ce5-3a50b8545789\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"auto-post_blogs_to_linkedin_and_twitter\"\n },\n \"id\": \"04497ee3-b9d0-4296-8d11-c26ea24c5a19\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"cd76d86e-4c30-43bb-a0e2-baaf728f7871\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9f39a9d1-b9d1-42d9-b199-8256c98ba424\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"8262b5be-0943-4a57-81d3-438502e72dca\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-post Blogs to LinkedIn and Twitter\"\n }\n },\n \"id\": \"ef4551cd-6b4e-41ae-8688-f3119f289c8f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-post Blogs to LinkedIn and Twitter\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"4ab2b12c-2228-4309-b688-e64bd895ffce\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-post Blogs to LinkedIn and Twitter error: {$json.error.message}\"\n },\n \"id\": \"915205bd-7106-4a5d-9962-82a3d5292349\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-post Blogs to LinkedIn and Twitter", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to auto reply to tiktok comments", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-reply to TikTok Comments\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-reply to TikTok Comments\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"62a5ff73-812f-4bd3-b69e-19ccb837438b\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-reply-to-tiktok-comments\"\n },\n \"id\": \"e2d9a151-59e3-42d2-8108-bfb2b4f530f4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"57baa51e-87e0-4b4f-90b3-44b5282b3d95\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"4c1d12a0-1780-4d26-b17f-59215022b555\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-reply_to_tiktok_comments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-reply_to_tiktok_comments\"\n }\n },\n \"id\": \"be23eb72-bca1-4e6f-8b8f-00b3c76fef40\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-reply_to_tiktok_comments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-reply_to_tiktok_comments\"\n }\n },\n \"id\": \"62d1d625-cf70-410e-84d2-eaad7477a7ba\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"197c6860-6a3f-4498-a4ce-e67f77133f0c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"585b2926-3905-4872-ba01-89e6f5a62fee\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"be683af2-ee65-436a-8233-5553ccc362c4\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-reply to TikTok Comments\"\n }\n },\n \"id\": \"b2359ea4-9d21-42f9-854b-42bdf4fcc565\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-reply to TikTok Comments\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"416996cb-2ac9-4074-b6ca-3b259a8a04d7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-reply to TikTok Comments error: {$json.error.message}\"\n },\n \"id\": \"553f06df-c97e-4775-b96a-52ad4c16a41b\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-reply to TikTok Comments", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Cross-post YouTube Uploads to Facebook\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Cross-post YouTube Uploads to Facebook\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e227f505-d90e-4cac-b88e-143d55a41313\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"cross-post-youtube-uploads-to-facebook\"\n },\n \"id\": \"f2e1b834-b79c-400a-9016-e001ae3a1f37\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c2ee666f-2b15-4919-ae35-639428a47410\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f7b42d81-8b2e-40ba-a7ce-bcdcee98fb28\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"cross-post_youtube_uploads_to_facebook\",\n \"mode\": \"list\",\n \"cachedResultName\": \"cross-post_youtube_uploads_to_facebook\"\n }\n },\n \"id\": \"e48c8606-0249-495e-b652-bf2973cbf903\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"cross-post_youtube_uploads_to_facebook\",\n \"mode\": \"list\",\n \"cachedResultName\": \"cross-post_youtube_uploads_to_facebook\"\n }\n },\n \"id\": \"3f87822c-d588-4d43-b96f-9d0a1a0652b5\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4009c47f-e495-4e55-8b42-271fc7f5c2c0\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"65041fcc-1556-4d14-81f1-4f8983867de8\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"46a928e6-754e-4a16-a699-551cd7c8aca7\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Cross-post YouTube Uploads to Facebook\"\n }\n },\n \"id\": \"9dc4acf6-b097-4b50-808a-0182edd55309\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Cross-post YouTube Uploads to Facebook\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"7bdeabaf-dd8c-4615-b9ca-f257ec0b7eb8\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Cross-post YouTube Uploads to Facebook error: {$json.error.message}\"\n },\n \"id\": \"bb677f3c-bb83-41f1-98f5-90db4c4f765d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Cross-post YouTube Uploads to Facebook", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Log Twitter Mentions In Notion?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Log Twitter Mentions in Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Log Twitter Mentions in Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9ada02d4-1b9a-4475-ab74-3fec017290b0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"log-twitter-mentions-in-notion\"\n },\n \"id\": \"2a319bca-b315-479c-8cc5-00c3e017a652\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"599dd595-9fa8-40de-982f-1897a35e9ec6\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f9f91a1d-a3fa-41ba-96e8-1a0842ec54ad\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"log_twitter_mentions_in_notion\"\n },\n \"id\": \"95a626fd-1907-475a-8297-a088c40f7322\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"log_twitter_mentions_in_notion\"\n },\n \"id\": \"4921e12c-f828-40d6-bbe8-4749ef18341e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"f600c918-24ae-4659-ad01-77c48c2ff50a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7eec9928-bb45-49a9-af88-a2f8e0357759\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5baad51a-c76c-4ba3-b961-31a8f1607b61\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Log Twitter Mentions in Notion\"\n }\n },\n \"id\": \"bf34ac84-3904-4010-b2f3-e9f6328195df\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log Twitter Mentions in Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"460a8b6a-6ed3-44f0-a5df-37b52a34ab74\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Log Twitter Mentions in Notion error: {$json.error.message}\"\n },\n \"id\": \"04cbe4da-7774-4177-a753-6a01f23a7687\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Log Twitter Mentions in Notion", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for monthly social media report", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Monthly Social Media Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Monthly Social Media Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"5d2f980a-4f7d-4e5f-acd9-29f532634bf3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"monthly-social-media-report\"\n },\n \"id\": \"2f7e00f6-721f-4f11-8d8e-f6036cb4c4e3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f504b256-54f2-4862-8031-60c272844eca\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"16eaa7d4-b566-451d-abaf-f1c74ca7db33\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"monthly_social_media_report\"\n },\n \"id\": \"ac30243b-1100-4cf1-a0dd-baf77e2a953e\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"monthly_social_media_report\"\n },\n \"id\": \"22db8cd2-d13f-47b4-97f2-ae43ef68f72c\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"12d9cea3-b799-47e7-99cb-b8d6d5cf8b87\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"067fc8cb-6899-4357-a9ed-3c81573af176\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a54762ba-a09c-477a-abde-1653ce014bf6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Monthly Social Media Report\"\n }\n },\n \"id\": \"53259669-6609-4dd1-8de0-50b8bc91b9d5\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Monthly Social Media Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f3491401-f9e4-4792-bf6d-8225a7fbe226\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Monthly Social Media Report error: {$json.error.message}\"\n },\n \"id\": \"f6ffdcfe-cc88-4eb3-a8e9-2bc36b0213ba\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Monthly Social Media Report", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "How would you build: Reddit Upvote Alert?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Reddit Upvote Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Reddit Upvote Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"65196870-2079-4376-92b9-a2f6d782a0d9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"reddit-upvote-alert\"\n },\n \"id\": \"78135efe-8906-4437-9908-1e335442f6a2\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d4d868f6-46e2-42d4-a294-fbd6ac733823\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"88ea99f8-1469-4c03-8fd1-ed1fab8a5516\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"reddit_upvote_alert\"\n },\n \"id\": \"466c3a8b-e140-4b17-b4b7-f33415832ef9\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"reddit_upvote_alert\"\n },\n \"id\": \"6648eb75-d080-48fd-8fd1-a5d9edf7c6a5\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"36705e61-87ec-4858-87e3-2eb4d1f3219c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4fd2d787-235f-4efc-a57f-3d91956b0975\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"669c352a-d72e-4a48-b11d-377736696308\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Reddit Upvote Alert\"\n }\n },\n \"id\": \"af93f117-fe2b-4e90-b9e7-a0a1d8cecb1b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Reddit Upvote Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"8735a4a8-4a50-44b7-b303-597642c7bca0\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Reddit Upvote Alert error: {$json.error.message}\"\n },\n \"id\": \"b337597e-1efd-43e6-8a88-7822de398548\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Reddit Upvote Alert", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to schedule instagram content from airtable", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Schedule Instagram Content from Airtable\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Schedule Instagram Content from Airtable\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7abba269-7e58-480c-8343-0f7dabcb52b8\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"schedule-instagram-content-from-airtable\"\n },\n \"id\": \"baa2150e-b0db-49a7-9ef7-2015ee41cb17\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b3ccfb17-8668-4b7d-8b87-00806d6fd722\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"d3c7a01c-465a-4d68-a1c3-753fa9d33dfb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"schedule_instagram_content_from_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"schedule_instagram_content_from_airtable\"\n }\n },\n \"id\": \"327e4fcd-d941-4c80-90ab-e367aa6bc83b\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"schedule_instagram_content_from_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"schedule_instagram_content_from_airtable\"\n }\n },\n \"id\": \"fe2adecc-d905-4161-9558-1fb91514db6d\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e9dd7f92-2cb1-4f98-b033-a5fb89651c6e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"89345e2d-849e-45eb-849b-0b68b00fb45d\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"6428cdb0-972d-4db8-85e2-ca5e4049ede8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Schedule Instagram Content from Airtable\"\n }\n },\n \"id\": \"e2a48f35-4c86-4d8d-bf83-f1f9e8ef98df\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Schedule Instagram Content from Airtable\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f026138c-b0be-4734-b87d-71c7d7947cb4\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Schedule Instagram Content from Airtable error: {$json.error.message}\"\n },\n \"id\": \"5c4e16ac-68ff-4c7d-aa5a-be47b01d5fac\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Schedule Instagram Content from Airtable", "node_count": 12, "category": "AI & LLM + Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"YouTube Comment Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for YouTube Comment Summarizer\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"2a67ad9a-dcc2-4ef0-abca-f3255d63c2d0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"youtube-comment-summarizer\"\n },\n \"id\": \"2fde1554-d2d7-49c3-b337-405b6c3136c9\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"82191399-1a68-400c-9bea-0c3a9aa2ac37\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"8a7643de-d014-4377-9055-79ee738b6231\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_comment_summarizer\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_comment_summarizer\"\n }\n },\n \"id\": \"841e4571-f1c6-49e0-8520-5d4a244b057f\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_comment_summarizer\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_comment_summarizer\"\n }\n },\n \"id\": \"d85e823f-715b-489b-9628-61ce63cb33fe\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"0737745f-be5b-4e98-b85b-45a3412f09e9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b8a28d57-b2d0-4ccd-8748-d484099c2bd5\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"93fe9b1d-0b94-4f3a-a864-fda08cd201ce\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for YouTube Comment Summarizer\"\n }\n },\n \"id\": \"a3218023-dcc5-4302-9506-a498a28823b4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"YouTube Comment Summarizer\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"1d624247-2c74-46c5-89e4-624b0c62bb87\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"YouTube Comment Summarizer error: {$json.error.message}\"\n },\n \"id\": \"361ae790-4e53-4a0c-8684-5a448b2ae5e9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "YouTube Comment Summarizer", "node_count": 12, "category": "Data Processing"}}
{"prompt": "How would you build: Airport Lounge Finder?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Airport Lounge Finder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Airport Lounge Finder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"530a91dd-c148-4078-8c75-34bea7ab4100\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"airport_lounge_finder\"\n },\n \"id\": \"618297ee-f2c3-4771-b4b8-ca10085efb5c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"53279a3e-2797-4b54-a15e-60123a6ae091\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"ce7a56bb-d36d-496e-baa3-fb242531cc96\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"airport_lounge_finder\"\n },\n \"id\": \"6a809676-30e2-4507-a7dc-41bed507b479\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"airport_lounge_finder\"\n },\n \"id\": \"31dc5181-6f83-424d-a9fd-8706df3d524f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"da30c8c9-9ea8-4c74-9660-5bdc9dffd9fd\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a7d6fb97-4c3c-4b53-8161-210830f3ecf9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e2c411a2-0f5b-4964-979a-7cb6311c7756\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"340516f7-e12d-4dcc-9852-fdffce2302d4\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3e999c21-3608-4f0e-b250-2d9f1229c08a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Airport Lounge Finder", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Currency Exchange Estimator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Currency Exchange Estimator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"d5b91663-402e-4601-98df-3f8f1399993f\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"currency_exchange_estimator\"\n },\n \"id\": \"d081818b-2d6c-466a-9914-6740afcbd7af\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ca2119ff-edea-4305-b2c5-7198b24e6538\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6bf1f530-dcfe-463a-acb0-5cc4116ad4b4\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"currency_exchange_estimator\"\n },\n \"id\": \"c5b61329-227e-42fe-b183-ce0891aa9017\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"currency_exchange_estimator\"\n },\n \"id\": \"15a1b2e0-2cb5-4bc9-935b-24a493c404ea\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"7f18286e-ba90-47ea-a603-432cceabc5c0\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f69b9d78-6f83-4b70-99a8-17c380063a49\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1048f1ff-7f01-4304-94e6-09388ff5d1d3\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d7b31857-87ed-46e5-8d87-6f8466188c6a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d8f0a755-3496-4e14-b016-f98eedb8b69c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Currency Exchange Estimator", "node_count": 11, "category": "Data Processing"}}
{"prompt": "How would you build: Flight Price Drop Alert?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Flight Price Drop Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Flight Price Drop Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"2e971a9b-a6ba-4497-8110-fe07b7a47b42\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"flight_price_drop_alert\"\n },\n \"id\": \"9acabf76-8493-4272-9738-3b188b02d72a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c0844651-967a-4a74-8ec7-21b8ad69c57e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"9e584208-6ee6-4d88-928d-ebea7670029f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"flight_price_drop_alert\"\n },\n \"id\": \"68ba07d4-4a88-488f-b516-3af28bf2e448\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"flight_price_drop_alert\"\n },\n \"id\": \"e8555ffa-cd0a-43b9-9877-0224cec55b1c\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"8adc9dca-87b4-4d3b-a491-ae2bfa48fa92\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"20c201df-db6e-4532-92eb-423d9ed792f0\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"729d441d-a5fa-44c7-9fca-ed1e9a3b7eb7\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"960b4ad9-0550-4dc9-932b-ee0cc272c739\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c1386b51-3a1c-4d40-aa44-90ea2d247c4e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Flight Price Drop Alert", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter to hotel review sentiment", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Hotel Review Sentiment\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Hotel Review Sentiment\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3f6dc161-7d19-4399-8fad-b801e4406848\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"hotel_review_sentiment\"\n },\n \"id\": \"5f8dd254-d4f6-4fa2-a17a-743eae80b24d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"98b19fc7-ec4f-460e-948a-5a7855399235\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2133104f-a360-4cc1-8dee-92a6da93ea3e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"hotel_review_sentiment\"\n },\n \"id\": \"ab99b854-32da-4fed-9fdc-6285c1e5beff\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"hotel_review_sentiment\"\n },\n \"id\": \"b45e5508-bafd-46cd-9e8e-1bc562b2fba8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"e31d2844-19a3-4d92-bffd-3903a368a086\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f84bc4ec-8df1-4790-a46f-21c89b10b382\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"935f73e6-9ada-4be3-9f50-cc82f20090b6\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"dfbefb06-2a27-425f-89fe-cad782edc25f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2459f5be-eece-42ce-b0f5-b9d678bdad6b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Hotel Review Sentiment", "node_count": 11, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for local attraction recommender", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Local Attraction Recommender\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Local Attraction Recommender\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c8875b2e-3004-4671-b42e-93cd99950bfb\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"local_attraction_recommender\"\n },\n \"id\": \"577956ce-6f51-4178-971a-8ebbf92c54a5\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"58455fc5-a384-4884-ba46-3564b1264b98\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e6a4e734-16d1-4a67-a91a-d061074c9808\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"local_attraction_recommender\"\n },\n \"id\": \"027b33ed-0e77-4488-a955-90c3a570a90a\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"local_attraction_recommender\"\n },\n \"id\": \"ba1871c8-c436-4258-ad97-4e8e12be2820\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"374eaeaf-2a6b-45da-a417-87415dbc5c9c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d7d8fd55-e069-482a-819b-0ebc788afab7\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c6f0f5ef-7b34-4e48-8652-69ce1ba5e142\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ebc4c348-264d-4f61-99ae-796d195ff3a4\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"9cf94044-8435-4556-85b5-c71462976a0b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Local Attraction Recommender", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Show me an n8n workflow for road trip stop planner", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Road Trip Stop Planner\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Road Trip Stop Planner\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"7d536184-157c-4ea5-82ab-16a36039a093\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"road_trip_stop_planner\"\n },\n \"id\": \"310516e2-6cf6-4f33-9b7d-64846b30b844\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ea4b0330-8d19-43d9-8217-aecc0fb695f7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6053017d-4ff3-4dc3-b761-594b66511f4f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"road_trip_stop_planner\"\n },\n \"id\": \"a57a88e7-f41b-4fe4-8fe2-7ffa700e6e0f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"road_trip_stop_planner\"\n },\n \"id\": \"c1d0e07a-78d8-4991-a232-0e0a7a1b65dc\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c8ed4718-d847-4f29-a565-5324b8b0d1f2\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"37a5f80f-6429-44a5-ac60-59b2c283b30a\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"237ca8b6-c42d-4ff0-b449-b3a3f20be581\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ec1a9e0a-e0b2-4828-a653-922679428060\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"ffb2326d-0718-4a1b-a3de-6eb3d1bc4cec\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Road Trip Stop Planner", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "Show me an n8n workflow for travel advisory monitor", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Travel Advisory Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Travel Advisory Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ab9739ac-4194-4e32-9620-3923fc24f2f9\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"travel_advisory_monitor\"\n },\n \"id\": \"4af6e847-4430-45f0-9e76-a94d9e9a28ab\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c463d22d-a263-4490-8884-8fd4856e0d60\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"5b0691eb-bc7d-4ffa-b631-3716aa36828b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"travel_advisory_monitor\"\n },\n \"id\": \"8ca39aa9-31f3-4bde-ae95-5e227e459d47\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"travel_advisory_monitor\"\n },\n \"id\": \"9bcc8bb2-006a-4721-9120-96c8263a099b\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"47c1e1d1-5771-4cd6-a9b6-b6cac851ff55\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a7f34fd8-dd43-4232-b0f8-833ce967451b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0097de3e-b28f-4a5a-a943-97f6e1a0f19c\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"47b6fa5a-7a44-4cbc-9f53-7d1acaf88246\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0c99e1db-e004-4ea3-92cb-8c2234654b47\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Travel Advisory Monitor", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to travel itinerary builder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Travel Itinerary Builder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Travel Itinerary Builder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"10740118-8e03-4ff7-bb9f-6045e8b852a6\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"travel_itinerary_builder\"\n },\n \"id\": \"41299a24-30dd-4e7c-ab6e-54839ecc7ec8\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"498deabf-f6a6-4538-a7c1-8484fbc355d0\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"81de715b-99e2-4fed-a9b7-bf59fdc0c6e0\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"travel_itinerary_builder\"\n },\n \"id\": \"aab7e17f-881f-4f94-810b-eae10cde713b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"travel_itinerary_builder\"\n },\n \"id\": \"54b1625f-cd03-489c-80bf-e55862388124\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"5c920c0a-df2a-47df-b696-acb093a4f421\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"de0168af-87f9-48f8-b4cf-c1529e73bdcf\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ee01524b-3535-4671-8a46-a2abc55e4dfe\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ebaef4fb-bc83-43d1-8efd-58c78c2f5012\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"6aaf624c-940d-41ab-b013-04cc3dc63814\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Travel Itinerary Builder", "node_count": 11, "category": "Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to visa requirement checker", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Visa Requirement Checker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Visa Requirement Checker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"2ac95194-ff1f-4720-8e5c-f21c7e344a47\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"visa_requirement_checker\"\n },\n \"id\": \"765b16c9-1458-4756-a31b-ac4eb5c3ab90\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d3c71f7f-27f8-48ad-ac30-293647138afe\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c8fb7955-8c09-42d5-940f-ba84912d1b2f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"visa_requirement_checker\"\n },\n \"id\": \"ad8b5ada-6bd5-49c6-a51b-fe251cfbb9fd\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"visa_requirement_checker\"\n },\n \"id\": \"6e9db8d0-a986-416b-9e6a-4557c6b9a4e4\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"c40282f2-0587-43b4-b1b5-f361b74dcb53\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a7d1d0c6-18b8-4d76-9fdd-f5949b11d35b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"720cbc6b-fce7-4461-abed-1bea45c2a24a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"92f7c0e4-71e1-4028-bd25-c5571eb70d6a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"16cd57fd-8a35-48a7-b386-86fbbcb20b54\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Visa Requirement Checker", "node_count": 11, "category": "AI & LLM + Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to weather packing list generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weather Packing List Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Weather Packing List Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"663459c9-092e-4569-8301-369ad97e4060\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weather_packing_list_generator\"\n },\n \"id\": \"371ab737-f613-46a3-b7f4-58080792365f\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"75ba6799-d1bd-437c-9829-f65ddc07f512\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"fd275eeb-648c-417c-9f08-1ff3a5826648\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"weather_packing_list_generator\"\n },\n \"id\": \"bfd1a7dc-cc74-4c34-978c-bdae5d7e165b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"weather_packing_list_generator\"\n },\n \"id\": \"99d12d16-0fae-46bc-a8bf-7693d8ee51c8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"bf50c18d-790c-4171-a57c-ac337ee89305\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0cd25191-08e2-4a63-9e17-24b7e743f162\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5abf0fe1-3c72-4f5a-96aa-76c67d179415\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"c77c5765-fb87-4732-bc89-cc1b3799c12d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d16d263c-b1f5-4700-ba74-cadbb92cb506\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weather Packing List Generator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}}
{"prompt": "How would you build: Ai Product Images?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.wait, n8n-nodes-base.splitInBatches, n8n-nodes-base.convertToFile, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.manualTrigger, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"AI product Images\",\n \"nodes\": [\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"typeVersion\": 1,\n \"position\": [\n 0,\n 0\n ],\n \"id\": \"1ddfbdfd-f3c0-4ef5-8b48-a3ae77a92955\",\n \"name\": \"When clicking ‘Test workflow’\"\n },\n {\n \"parameters\": {\n \"resource\": \"fileFolder\",\n \"filter\": {\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"1NQ_9HXkMrjm_DPZENAmwRo0JJkvQm8BU\",\n \"mode\": \"id\"\n }\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 220,\n 0\n ],\n \"id\": \"6feb317d-1d43-4174-a5a3-b9e4a2bf46e6\",\n \"name\": \"Google Drive\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"download\",\n \"fileId\": {\n \"__rl\": true,\n \"value\": \"={{$json[\\\"id\\\"]}}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 460,\n 0\n ],\n \"id\": \"b5232274-25a6-43b7-a424-dcfff47057ba\",\n \"name\": \"Google Drive1\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"image\",\n \"operation\": \"analyze\",\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"text\": \"Describe the visual style of this image, what stands out. if you had to have a holistic overview, as a professional facebook ads designer. How would you explain this image / or images to be able to reproduce the elements that make it work for other ads.\\n\\nThe core goal of the output here should be to create a template of the style for inspirations. As later we will take ideas from these to generate our own high converting facebook ads.\\n\\nensure you do not make this product specific, rather focusing on creating outlines for static ad styles. so keep ti vague in terms of what exactly is in the ad, but rather the principles of the ad\",\n \"inputType\": \"base64\",\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 720,\n -20\n ],\n \"id\": \"ff9ab47d-5980-4d2d-ab5e-1e76d0df87ab\",\n \"name\": \"OpenAI\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"hLlMCh2BqN9e4ile\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"fileFolder\",\n \"searchMethod\": \"query\",\n \"filter\": {\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"11t72SNGpHJvGk-UurfuLwGpdMz37-cwW\",\n \"mode\": \"id\"\n }\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 220,\n 240\n ],\n \"id\": \"b5e0b994-cde8-4069-bdac-3173ecf8ccfb\",\n \"name\": \"Google Drive2\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"download\",\n \"fileId\": {\n \"__rl\": true,\n \"value\": \"={{$json[\\\"id\\\"]}}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 460,\n 240\n ],\n \"id\": \"41b44442-46d1-40b7-9a26-57f410d0426b\",\n \"name\": \"Google Drive3\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"image\",\n \"operation\": \"analyze\",\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"text\": \"Analyse our product image. Identify the core emotions behind it and the main product. we will use this later to connect the product image with some ad styles and generate our own ads\",\n \"inputType\": \"base64\",\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 700,\n 240\n ],\n \"id\": \"1eea9b08-38d1-48dc-b578-88d0818de342\",\n \"name\": \"OpenAI1\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"hLlMCh2BqN9e4ile\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"value\": \"gpt-4\",\n \"mode\": \"list\",\n \"cachedResultName\": \"gpt-4\"\n },\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 1040,\n 420\n ],\n \"id\": \"6a97f2fe-fc62-4591-bb03-37d4ae24343c\",\n \"name\": \"OpenAI Chat Model\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"hLlMCh2BqN9e4ile\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"=You’ve been given an outline that includes: \\n\\n(use all the data from here when creating the prompts {{ $json.choices[0].message.content }} - it is also critical our product image is displayed in here: {{ $('OpenAI1').item.json.content }} )\\n\\nWhat the product is and who it’s for\\n\\nWhat’s visible in the product image (e.g. background, angle, lighting)\\n\\nPatterns and emotional triggers from top-performing ad examples\\n\\nYour task:\\nUsing this outline, generate 10 image ad prompts that follow this format exactly:\\n\\nprompt: [Detailed visual description of the ad concept]\\n\\nEach prompt should include:\\n\\nA bold, testimonial-style headline (in quotation marks at the top)\\n\\nA clear description of the emotional transformation the image should convey\\n\\nWhat is shown in the image (body parts, facial expressions, environment, etc.)\\n\\nWhere and how the product is placed\\n\\nThe color palette and visual tone (e.g., icy blue for calm, red for pain)\\n\\nWhere the headline should appear on the image\\n\\nRendering style (e.g., cinematic, hyperrealistic, dramatic shadows)\\n\\nFinal format for Facebook or Instagram (1:1 format always)\\n\\nRepeat this 10 times. Each one must be unique, emotionally powerful, and visually clear.\",\n \"hasOutputParser\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1.9,\n \"position\": [\n 1120,\n 240\n ],\n \"id\": \"16138c72-2b3d-4c4b-9d11-ad91d15c2e4c\",\n \"name\": \"AI prompt agent\"\n },\n {\n \"parameters\": {\n \"jsonSchemaExample\": \"[\\n {\\n \\\"Prompt\\\": \\\"Sun-drenched poolside shot of the product on a marble ledge at golden hour, with soft shadows and warm tones. Aspect ratio 1:1.\\\"\\n },\\n {\\n \\\"Prompt\\\": \\\"Cool lavender-tinted sunset beach backdrop behind the product, highlighting reflective metallic accents. Aspect ratio 4:5.\\\"\\n },\\n {\\n \\\"Prompt\\\": \\\"...\\\"\\n }\\n]\\n\"\n },\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"typeVersion\": 1.2,\n \"position\": [\n 1380,\n 420\n ],\n \"id\": \"8fbfad99-d724-45a9-9b3e-e45e486dcfc5\",\n \"name\": \"Structured Output Parser\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"output\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 1560,\n 160\n ],\n \"id\": \"508946cd-0aed-4858-bf5a-c25e64371ea4\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.openai.com/v1/images/generations\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer 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\"\n },\n {\n \"name\": \"Content-type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"model\",\n \"value\": \"gpt-image-1\"\n },\n {\n \"name\": \"prompt\",\n \"value\": \"={{ $json.Prompt }}\"\n },\n {\n \"name\": \"size\",\n \"value\": \"1024x1024\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2320,\n 160\n ],\n \"id\": \"ab08c200-9ff9-4dd9-86be-09b8f1e219a9\",\n \"name\": \"HTTP Request1\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1840,\n 160\n ],\n \"id\": \"dc69258e-7c57-4158-92af-7257ba85102e\",\n \"name\": \"Loop Over Items1\"\n },\n {\n \"parameters\": {\n \"amount\": 15\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 2100,\n 160\n ],\n \"id\": \"1af8885e-00a3-49f1-b159-1a02eba84a84\",\n \"name\": \"Wait\",\n \"webhookId\": \"9f2950cd-2ab2-405f-83d7-4f44e15e16f2\"\n },\n {\n \"parameters\": {\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"data[0].b64_json\",\n \"options\": {\n \"fileName\": \"image.png\",\n \"mimeType\": \"image/png\"\n }\n },\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"typeVersion\": 1.1,\n \"position\": [\n 2540,\n 160\n ],\n \"id\": \"535a5a20-11ab-476a-be3b-07e23073d5f5\",\n \"name\": \"Convert to File\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Analyse this prompt which is a template of a high converting facebook ad we have built {{ $json.content }}\\n\\nNow we will take this template, and add our product in as the hero for our ads{{ $json.content}}\\n\\nensure the template is applied to make our product the hereo, with all copy, colours and vibe being focused on making the product stand out, in a facebook ad, deisgn to convert.\\n\\nMake a relevant prompt & outline as our next step in the flow is to break down this prompt (combining the facebook ad visual style, with our product image) and spit it into 10 prompts, all to create individual statics.\\n\\nDo what you think is best to pass this information forward.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"Put both pieces of data together and only generate 1 output prompt\\n\"\n }\n ]\n },\n \"simplify\": false,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1020,\n -20\n ],\n \"id\": \"a01ff233-7e6f-456e-b691-f54a5c73aee0\",\n \"name\": \"OpenAI2\",\n \"executeOnce\": false,\n \"alwaysOutputData\": false,\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"CiqduZPbaJF5yveA\",\n \"name\": \"OpenAi account 2\"\n }\n }\n },\n {\n \"parameters\": {\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"1V_USzVT-v-6LIjk3HPd0nlr2vnv4nJAr\",\n \"mode\": \"list\",\n \"cachedResultName\": \"n8n testing\",\n \"cachedResultUrl\": \"https://drive.google.com/drive/folders/1V_USzVT-v-6LIjk3HPd0nlr2vnv4nJAr\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 2780,\n 160\n ],\n \"id\": \"3deb2f20-abc3-439e-b181-24c1956a4657\",\n \"name\": \"Google Drive4\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive2\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive3\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI prompt agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"AI prompt agent\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"AI prompt agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items1\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to File\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI2\": {\n \"main\": [\n [\n {\n \"node\": \"AI prompt agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive4\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"85462564-6f39-41df-b09c-9507c177c96a\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"aa305389a9f146cc99db373653903c47ecf7fe4bb66df261da9bedf94add0f72\"\n },\n \"id\": \"XZrlhnSYaHKcAdp4\",\n \"tags\": []\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "AI product Images", "node_count": 17, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles webhooks", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 5\n- Node Types: n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.respondToWebhook\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"Q8On8rR6BkmPzDUd\",\n \"meta\": {\n \"instanceId\": \"f57770b08f6a574802832e927ed1b0063c627ffc5b95965abf0d4a7396150138\"\n },\n \"name\": \"chrome extension backend with AI\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"0f38fe62-36d9-43da-a992-a3981377e89e\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -220,\n -20\n ],\n \"webhookId\": \"e9a97dd5-f1e7-4d5b-a6f1-be5f0c9eb96c\",\n \"parameters\": {\n \"path\": \"e9a97dd5-f1e7-4d5b-a6f1-be5f0c9eb96c\",\n \"options\": {},\n \"httpMethod\": \"POST\",\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"83959562-edf5-4d37-bd11-47186c6a31c7\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n -40,\n -20\n ],\n \"parameters\": {\n \"text\": \"You are an expert financial analyst tasked with providing an advanced technical analyses of a stock or crypto currency chart provided. Your analysis will be based on various technical indicators and will provide simple insights for novice traders. Just explain to traders were you expect the market is moving. Also warn them this is not a binding advice. Make sure to explain everything in infant language.\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"resource\": \"image\",\n \"inputType\": \"base64\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8MS1muoK4z86fxUs\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"c6f1f833-7ba3-49c5-86df-f586e6bb5975\",\n \"name\": \"Respond to Webhook\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 140,\n -20\n ],\n \"parameters\": {\n \"options\": {},\n \"respondWith\": \"text\",\n \"responseBody\": \"={{ $json.content }}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"e3a38a76-283b-4567-a8da-315ef1e2bc4f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -260,\n -140\n ],\n \"parameters\": {\n \"width\": 620,\n \"height\": 300,\n \"content\": \"## N8N en OpenAI image analyser\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8e7e26db-8767-4727-ab0c-900b50a73411\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -80,\n 180\n ],\n \"parameters\": {\n \"color\": 5,\n \"height\": 340,\n \"content\": \"## AI prompt\\nYou are an expert financial analyst tasked with providing an advanced technical analyses of a stock or crypto currency chart provided. Your analysis will be based on various technical indicators and will provide simple insights for novice traders. Just explain to traders were you expect the market is moving. Also warn them this is not a binding advice. Make sure to explain everything in infant language.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"caf32442-e9c5-466a-8888-9abd2c1b3449\",\n \"connections\": {\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "chrome extension backend with AI", "node_count": 5, "category": "Webhooks"}}
{"prompt": "Design a workflow using n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote to [3/3] anomaly detection tool (crops dataset)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"G8jRDBvwsMkkMiLN\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[3/3] Anomaly detection tool (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"spMntyrlE9ydvWFA\",\n \"name\": \"anomaly-detection\",\n \"createdAt\": \"2024-12-08T22:05:15.945Z\",\n \"updatedAt\": \"2024-12-09T12:50:19.287Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"e01bafec-eb24-44c7-b3c4-a60f91666350\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 400,\n \"height\": 740,\n \"content\": \"We are working here with crops dataset: \\nExisting (so not anomalies) crops images in dataset are:\\n- 'pearl_millet(bajra)',\\n- 'tobacco-plant',\\n- 'cherry',\\n- 'cotton',\\n- 'banana',\\n- 'cucumber',\\n- 'maize',\\n- 'wheat',\\n- 'clove',\\n- 'jowar',\\n- 'olive-tree',\\n- 'soyabean',\\n- 'coffee-plant',\\n- 'rice',\\n- 'lemon',\\n- 'mustard-oil',\\n- 'vigna-radiati(mung)',\\n- 'coconut',\\n- 'gram',\\n- 'pineapple',\\n- 'sugarcane',\\n- 'sunflower',\\n- 'chilli',\\n- 'fox_nut(makhana)',\\n- 'jute',\\n- 'papaya',\\n- 'tea',\\n- 'cardamom',\\n- 'almond'\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b9943781-de1f-4129-9b81-ed836e9ebb11\",\n \"name\": \"Embed image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 680,\n 60\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"image_url\\\",\\n \\\"image_url\\\": $('Image URL hardcode').first().json.imageURL\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"47b72bc2-4817-48c6-b517-c1328e402468\",\n \"name\": \"Get similarity of medoids\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 940,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.data[0].embedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"limit\\\": $('Info About Crop Labeled Clusters').first().json.cropsNumber,\\n \\\"with_payload\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n { \\n \\\"key\\\": $('Variables for medoids').first().json.clusterCenterType,\\n \\\"match\\\": {\\n \\\"value\\\": true\\n }\\n }\\n ]\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"42d7eb27-ec38-4406-b5c4-27eb45358e93\",\n \"name\": \"Compare scores\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1140,\n 60\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"points = _input.first()['json']['result']['points']\\nthreshold_type = _('Variables for medoids').first()['json']['clusterThresholdCenterType']\\n\\nmax_score = -1\\ncrop_with_max_score = None\\nundefined = True\\n\\nfor center in points:\\n if center['score'] >= center['payload'][threshold_type]:\\n undefined = False\\n if center['score'] > max_score:\\n max_score = center['score']\\n crop_with_max_score = center['payload']['crop_name']\\n\\nif undefined:\\n result_message = \\\"ALERT, we might have a new undefined crop!\\\"\\nelse:\\n result_message = f\\\"Looks similar to {crop_with_max_score}\\\"\\n\\nreturn [{\\n \\\"json\\\": {\\n \\\"result\\\": result_message\\n }\\n}]\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"23aa604a-ff0b-4948-bcd5-af39300198c0\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n -220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 380,\n \"content\": \"## Crop Anomaly Detection Tool\\n### This is the tool that can be used directly for anomalous crops detection. \\nIt takes as input (any) **image URL** and returns a **text message** telling if whatever this image depicts is anomalous to the crop dataset stored in Qdrant. \\n\\n* An Image URL is received via the Execute Workflow Trigger which is used to generate embedding vectors via the Voyage.ai Embeddings API.\\n* The returned vectors are used to query the Qdrant collection to determine if the given crop is known by comparing it to **threshold scores** of each image class (crop type).\\n* If the image scores lower than all thresholds, then the image is considered an anomaly for the dataset.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a79eca2-44f9-4aee-8a0d-9c7ca2f9149d\",\n \"name\": \"Variables for medoids\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -200,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dbbc1e7b-c63e-4ff1-9524-8ef3e9f6cd48\",\n \"name\": \"clusterCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid\"\n },\n {\n \"id\": \"a994ce37-2530-4030-acfb-ec777a7ddb05\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"12f0a9e6-686d-416e-a61b-72d034ec21ba\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n },\n {\n \"id\": \"4c88a617-d44f-4776-b457-8a1dffb1d03c\",\n \"name\": \"clusterThresholdCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid_cluster_threshold\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"13b25434-bd66-4293-93f1-26c67b9ec7dd\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -340,\n 260\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 360,\n \"height\": 200,\n \"content\": \"**clusterCenterType** - either\\n* \\\"is_text_anchor_medoid\\\" or\\n* \\\"is_medoid\\\"\\n\\n\\n**clusterThresholdCenterType** - either\\n* \\\"is_text_anchor_medoid_cluster_threshold\\\" or\\n* \\\"is_medoid_cluster_threshold\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"869b0962-6cae-487d-8230-539a0cc4c14c\",\n \"name\": \"Info About Crop Labeled Clusters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 440,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5327b254-b703-4a34-a398-f82edb1d6d6b\",\n \"name\": \"=cropsNumber\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.hits.length }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"5d3956f8-f43b-439e-b176-a594a21d8011\",\n \"name\": \"Total Points in Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 40,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/count\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"exact\\\": true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"14ba3db9-3965-4b20-b333-145616d45c3a\",\n \"name\": \"Each Crop Counts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 240,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/facet\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"limit\\\": $json.result.count,\\n \\\"exact\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e37c6758-0556-4a56-ab14-d4df663cb53a\",\n \"name\": \"Image URL hardcode\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -480,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"46ceba40-fb25-450c-8550-d43d8b8aa94c\",\n \"name\": \"imageURL\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query.imageURL }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"b24ad1a7-0cf8-4acc-9c18-6fe9d58b10f2\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n -720,\n 60\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"50424f2b-6831-41bf-8de4-81f69d901ce1\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -240,\n -80\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 120,\n \"content\": \"Variables to access Qdrant's collection we uploaded & prepared for anomaly detection in 2 previous pipelines\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e8ed3ca-1bba-4214-b34b-376a237842ff\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 40,\n -120\n ],\n \"parameters\": {\n \"width\": 560,\n \"height\": 140,\n \"content\": \"These three nodes are needed just to figure out how many different classes (crops) we have in our Qdrant collection: **cropsNumber** (needed in *\\\"Get similarity of medoids\\\"* node. \\n[Note] *\\\"Total Points in Collection\\\"* -> *\\\"Each Crop Counts\\\"* were used&explained already in *\\\"[2/4] Set up medoids (2 types) for anomaly detection (crops dataset)\\\"* pipeline.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e2fa5763-6e97-4ff5-8919-1cb85a3c6968\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 240\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"Here, we're embedding the image passed to this workflow tool with the Voyage embedding model to compare the image to all crop images in the database.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cdb6b8d3-f7f4-4d66-850f-ce16c8ed98b9\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n 220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 180,\n \"content\": \"Checking how similar the image is to all the centres of clusters (crops).\\nIf it's more similar to the thresholds we set up and stored in centres in the previous workflow, the image probably belongs to this crop class; otherwise, it's anomalous to the class. \\nIf image is anomalous to all the classes, it's an anomaly.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"03b4699f-ba43-4f5f-ad69-6f81deea2641\",\n \"name\": \"Sticky Note22\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -620,\n 580\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 300,\n \"content\": \"### For anomaly detection\\n1. The first pipeline is uploading (crops) dataset to Qdrant's collection.\\n2. The second pipeline sets up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.\\n3. **This is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.**\\n\\n### To recreate it\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"imageURL\": \"https://storage.googleapis.com/n8n-qdrant-demo/agricultural-crops%2Fcotton%2Fimage%20(36).jpg\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"f67b764b-9e1a-4db0-b9f2-490077a62f74\",\n \"connections\": {\n \"Embed image\": {\n \"main\": [\n [\n {\n \"node\": \"Get similarity of medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Each Crop Counts\": {\n \"main\": [\n [\n {\n \"node\": \"Info About Crop Labeled Clusters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image URL hardcode\": {\n \"main\": [\n [\n {\n \"node\": \"Variables for medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Variables for medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Total Points in Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Image URL hardcode\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get similarity of medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Compare scores\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Total Points in Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Each Crop Counts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Info About Crop Labeled Clusters\": {\n \"main\": [\n [\n {\n \"node\": \"Embed image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[3/3] Anomaly detection tool (crops dataset)", "node_count": 17, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to autonomous ai crawler", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.supabase, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.html, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"6cdc45e5-1fa4-47fe-b80a-0e1560996936\",\n \"name\": \"Text\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1460,\n 980\n ],\n \"parameters\": {\n \"name\": \"text_retrieval_tool\",\n \"source\": \"parameter\",\n \"description\": \"Call this tool to return all text from the given website. Query should be full website URL.\",\n \"workflowJson\": \"{\\n \\\"nodes\\\": [\\n {\\n \\\"parameters\\\": {},\\n \\\"id\\\": \\\"05107436-c9cb-419b-ae8a-b74d309a130d\\\",\\n \\\"name\\\": \\\"Execute workflow\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.manualTrigger\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 2220,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.query }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"bb8be616-3227-4705-8520-1827069faacd\\\",\\n \\\"name\\\": \\\"Set domain\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2440,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"ed0f1505-82b6-4393-a0d8-088055137ec9\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.domain.startsWith(\\\\\\\"http\\\\\\\") ? $json.domain : \\\\\\\"http://\\\\\\\" + $json.domain }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"bdf29340-f135-489f-848e-1c7fa43a01df\\\",\\n \\\"name\\\": \\\"Add protocool to domain\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2640,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"2b1c7ff8-06a7-448b-99b7-5ede4b2e0bf0\\\",\\n \\\"name\\\": \\\"response\\\",\\n \\\"value\\\": \\\"={{ $json.data }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"9f0aa264-08c1-459a-bb99-e28599fe8f76\\\",\\n \\\"name\\\": \\\"Set response\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 3300,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"url\\\": \\\"={{ $json.domain }}\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"cec7c8e8-bf5e-43d5-aa41-876293dbec78\\\",\\n \\\"name\\\": \\\"Get website\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.httpRequest\\\",\\n \\\"typeVersion\\\": 4.2,\\n \\\"position\\\": [\\n 2860,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"html\\\": \\\"={{ $json.data }}\\\",\\n \\\"options\\\": {\\n \\\"ignore\\\": \\\"a,img\\\"\\n }\\n },\\n \\\"id\\\": \\\"1af94fcb-bca3-45c4-9277-18878c75d417\\\",\\n \\\"name\\\": \\\"Convert HTML to Markdown\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.markdown\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 3080,\\n 620\\n ]\\n }\\n ],\\n \\\"connections\\\": {\\n \\\"Execute workflow\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set domain\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Set domain\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Add protocool to domain\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Add protocool to domain\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Get website\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Get website\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Convert HTML to Markdown\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Convert HTML to Markdown\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set response\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n }\\n },\\n \\\"pinData\\\": {}\\n}\",\n \"requestOptions\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"af8efccb-ba3c-44de-85f7-b932d7a2e3ca\",\n \"name\": \"URLs\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1640,\n 980\n ],\n \"parameters\": {\n \"name\": \"url_retrieval_tool\",\n \"source\": \"parameter\",\n \"description\": \"Call this tool to return all URLs from the given website. Query should be full website URL.\",\n \"workflowJson\": \"{\\n \\\"nodes\\\": [\\n {\\n \\\"parameters\\\": {},\\n \\\"id\\\": \\\"05107436-c9cb-419b-ae8a-b74d309a130d\\\",\\n \\\"name\\\": \\\"Execute workflow\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.manualTrigger\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 2200,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"operation\\\": \\\"extractHtmlContent\\\",\\n \\\"extractionValues\\\": {\\n \\\"values\\\": [\\n {\\n \\\"key\\\": \\\"output\\\",\\n \\\"cssSelector\\\": \\\"a\\\",\\n \\\"returnValue\\\": \\\"attribute\\\",\\n \\\"returnArray\\\": true\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"1972e13e-d923-45e8-9752-e4bf45faaccf\\\",\\n \\\"name\\\": \\\"Retrieve URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.html\\\",\\n \\\"typeVersion\\\": 1.2,\\n \\\"position\\\": [\\n 3060,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"fieldToSplitOut\\\": \\\"output\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"19703fbc-05ff-4d80-ab53-85ba6d39fc3f\\\",\\n \\\"name\\\": \\\"Split out URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.splitOut\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 3280,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"compare\\\": \\\"selectedFields\\\",\\n \\\"fieldsToCompare\\\": \\\"href\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"5cc988e7-de9b-4177-b5e7-edb3842202c8\\\",\\n \\\"name\\\": \\\"Remove duplicated\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.removeDuplicates\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 3720,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"04ced063-09f0-496c-9b28-b8095f9e2297\\\",\\n \\\"name\\\": \\\"href\\\",\\n \\\"value\\\": \\\"={{ $json.href.startsWith(\\\\\\\"/\\\\\\\") ? $('Add protocool to domain (URL)').item.json[\\\\\\\"domain\\\\\\\"] + $json.href : $json.href }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"includeOtherFields\\\": true,\\n \\\"include\\\": \\\"selected\\\",\\n \\\"includeFields\\\": \\\"title\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"4715a25d-93a7-4056-8768-e3f886a1a0c9\\\",\\n \\\"name\\\": \\\"Set domain to path\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 3940,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"conditions\\\": {\\n \\\"options\\\": {\\n \\\"caseSensitive\\\": true,\\n \\\"leftValue\\\": \\\"\\\",\\n \\\"typeValidation\\\": \\\"strict\\\"\\n },\\n \\\"conditions\\\": [\\n {\\n \\\"id\\\": \\\"d01ea6a8-7e75-40d4-98f2-25d42b245f36\\\",\\n \\\"leftValue\\\": \\\"={{ $json.href.isUrl() }}\\\",\\n \\\"rightValue\\\": \\\"\\\",\\n \\\"operator\\\": {\\n \\\"type\\\": \\\"boolean\\\",\\n \\\"operation\\\": \\\"true\\\",\\n \\\"singleValue\\\": true\\n }\\n }\\n ],\\n \\\"combinator\\\": \\\"and\\\"\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"353deefb-ae69-440c-95b6-fdadacf4bf91\\\",\\n \\\"name\\\": \\\"Filter out invalid URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.filter\\\",\\n \\\"typeVersion\\\": 2,\\n \\\"position\\\": [\\n 4160,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"aggregate\\\": \\\"aggregateAllItemData\\\",\\n \\\"include\\\": \\\"specifiedFields\\\",\\n \\\"fieldsToInclude\\\": \\\"title,href\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"9f87be8c-72d7-4ab1-b297-dc7069b2dd11\\\",\\n \\\"name\\\": \\\"Aggregate URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.aggregate\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 4380,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"conditions\\\": {\\n \\\"options\\\": {\\n \\\"caseSensitive\\\": true,\\n \\\"leftValue\\\": \\\"\\\",\\n \\\"typeValidation\\\": \\\"strict\\\"\\n },\\n \\\"conditions\\\": [\\n {\\n \\\"id\\\": \\\"5b9b7353-bd04-4af2-9480-8de135ff4223\\\",\\n \\\"leftValue\\\": \\\"={{ $json.href }}\\\",\\n \\\"rightValue\\\": \\\"\\\",\\n \\\"operator\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"operation\\\": \\\"exists\\\",\\n \\\"singleValue\\\": true\\n }\\n }\\n ],\\n \\\"combinator\\\": \\\"and\\\"\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"35c8323a-5350-403a-9c2d-114b0527e395\\\",\\n \\\"name\\\": \\\"Filter out empty hrefs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.filter\\\",\\n \\\"typeVersion\\\": 2,\\n \\\"position\\\": [\\n 3500,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.query }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"d9f6a148-6c8c-4a58-89f5-4e9cfcd8d910\\\",\\n \\\"name\\\": \\\"Set domain (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2400,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"ed0f1505-82b6-4393-a0d8-088055137ec9\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.domain.startsWith(\\\\\\\"http\\\\\\\") ? $json.domain : \\\\\\\"http://\\\\\\\" + $json.domain }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"1f974444-da58-4a47-a9c3-ba3091fc1e96\\\",\\n \\\"name\\\": \\\"Add protocool to domain (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2620,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"url\\\": \\\"={{ $json.domain }}\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"31d7c7d4-8f61-402b-858d-63dd68ac69ee\\\",\\n \\\"name\\\": \\\"Get website (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.httpRequest\\\",\\n \\\"typeVersion\\\": 4.2,\\n \\\"position\\\": [\\n 2840,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"53c1c016-7983-4eba-a91d-da2a0523d805\\\",\\n \\\"name\\\": \\\"response\\\",\\n \\\"value\\\": \\\"={{ JSON.stringify($json.data) }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"f4b6df77-96be-4b12-9a8b-ae9b7009f13d\\\",\\n \\\"name\\\": \\\"Set response (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 4600,\\n 740\\n ]\\n }\\n ],\\n \\\"connections\\\": {\\n \\\"Execute workflow\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set domain (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Retrieve URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Split out URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Split out URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Filter out empty hrefs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Remove duplicated\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set domain to path\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Set domain to path\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Filter out invalid URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Filter out invalid URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Aggregate URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Aggregate URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set response (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Filter out empty hrefs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Remove duplicated\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Set domain (URL)\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Add protocool to domain (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Add protocool to domain (URL)\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Get website (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Get website (URL)\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Retrieve URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n }\\n },\\n \\\"pinData\\\": {}\\n}\",\n \"requestOptions\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"725dc9d9-dc10-4895-aedb-93ecd7494d76\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1300,\n 980\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {\n \"temperature\": 0,\n \"responseFormat\": \"json_object\"\n },\n \"requestOptions\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"Qp9mop4DylpfqiTH\",\n \"name\": \"OpenAI (avirago@avirago.pl)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2b9aa18b-e72e-486a-b307-db50e408842b\",\n \"name\": \"JSON Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1800,\n 980\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"social_media\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"platform\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The name of the social media platform (e.g., LinkedIn, Instagram)\\\"\\n },\\n \\\"urls\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"format\\\": \\\"uri\\\",\\n \\\"description\\\": \\\"A URL for the social media platform\\\"\\n }\\n }\\n },\\n \\\"required\\\": [\\\"platform\\\", \\\"urls\\\"],\\n \\\"additionalProperties\\\": false\\n }\\n }\\n },\\n \\\"required\\\": [\\\"platforms\\\"],\\n \\\"additionalProperties\\\": false\\n}\\n\",\n \"requestOptions\": {}\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"87dcfe83-01f3-439c-8175-7da3d96391b4\",\n \"name\": \"Map company name and website\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1400,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ae484e44-36bc-4d88-9772-545e579a261c\",\n \"name\": \"company_name\",\n \"type\": \"string\",\n \"value\": \"={{ $json.name }}\"\n },\n {\n \"id\": \"c426ab19-649c-4443-aabb-eb0826680452\",\n \"name\": \"company_website\",\n \"type\": \"string\",\n \"value\": \"={{ $json.website }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"a904bd16-b470-4c98-ac05-50bbc09bf24b\",\n \"name\": \"Execute workflow\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 540,\n 620\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"a9801b62-a691-457c-a52f-ac0d68c8e8b3\",\n \"name\": \"Get companies\",\n \"type\": \"n8n-nodes-base.supabase\",\n \"position\": [\n 780,\n 620\n ],\n \"parameters\": {\n \"tableId\": \"companies_input\",\n \"operation\": \"getAll\"\n },\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"TZeFGe5qO3z7X5Zk\",\n \"name\": \"Supabase (workfloows@gmail.com)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"40d8fe8a-2975-4ea5-b6ac-46e19d158eea\",\n \"name\": \"Select company name and website\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1040,\n 620\n ],\n \"parameters\": {\n \"include\": \"selected\",\n \"options\": {},\n \"assignments\": {\n \"assignments\": []\n },\n \"includeFields\": \"name,website\",\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"20aa3aea-f1f6-435c-a511-d4e8db047c6d\",\n \"name\": \"Set social media array\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1800,\n 720\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"a6e109b7-9333-44e8-aa13-590aeb91a56b\",\n \"name\": \"social_media\",\n \"type\": \"array\",\n \"value\": \"={{ $json.output.social_media }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"53f64ebf-8d9f-4718-9a33-aaae06e9cf9a\",\n \"name\": \"Merge all data\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 2040,\n 620\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"e38e590e-cc1c-485f-b6c4-e7631f1c8381\",\n \"name\": \"Insert new row\",\n \"type\": \"n8n-nodes-base.supabase\",\n \"position\": [\n 2260,\n 620\n ],\n \"parameters\": {\n \"tableId\": \"companies_output\",\n \"dataToSend\": \"autoMapInputData\"\n },\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"TZeFGe5qO3z7X5Zk\",\n \"name\": \"Supabase (workfloows@gmail.com)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"aac08494-b324-4307-a5c5-5d5345cc9070\",\n \"name\": \"Convert HTML to Markdown\",\n \"type\": \"n8n-nodes-base.markdown\",\n \"position\": [\n 2100,\n 1314\n ],\n \"parameters\": {\n \"html\": \"={{ $json.data }}\",\n \"options\": {\n \"ignore\": \"a,img\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca6733cb-973f-4e7b-9d52-48f1af2e08e3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1420,\n 940\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 157.8125,\n \"height\": 166.55000000000004,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4acd71c9-9e31-43fc-bda6-66d6a057306b\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1600,\n 940\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 157.8125,\n \"height\": 166.55000000000004,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"359adcd6-6bb9-4d64-8dde-6a45b0439fd6\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1420,\n 1180\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 1117.5005339977713,\n \"height\": 329.45390772033636,\n \"content\": \"### Text scraper tool\\nThis tool is designed to return all text from the given webpage.\\n\\n💡 **Consider adding proxy for better crawling accuracy.**\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"84133903-dcec-4c0c-8684-fdeb49f5702d\",\n \"name\": \"Retrieve URLs\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 2120,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"output\",\n \"cssSelector\": \"a\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"2ebffed6-5517-47ff-9fcd-5ce503aa3b63\",\n \"name\": \"Split out URLs\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 2340,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"215da9b2-0c0d-4d0e-b5f9-9887be75b0c4\",\n \"name\": \"Remove duplicated\",\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"position\": [\n 2780,\n 1700\n ],\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"options\": {},\n \"fieldsToCompare\": \"href\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"55825a1c-9351-413c-858a-c44cd3078f11\",\n \"name\": \"Set domain to path\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3000,\n 1700\n ],\n \"parameters\": {\n \"include\": \"selected\",\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"04ced063-09f0-496c-9b28-b8095f9e2297\",\n \"name\": \"href\",\n \"type\": \"string\",\n \"value\": \"={{ $json.href.startsWith(\\\"/\\\") ? $('Add protocool to domain (URL)').item.json[\\\"domain\\\"] + $json.href : $json.href }}\"\n }\n ]\n },\n \"includeFields\": \"title\",\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"57858d59-2727-4291-9dc6-238101de25ea\",\n \"name\": \"Filter out invalid URLs\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 3220,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"d01ea6a8-7e75-40d4-98f2-25d42b245f36\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.href.isUrl() }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"0e487a35-8a6c-48f7-9048-fe66a5a346e8\",\n \"name\": \"Aggregate URLs\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 3440,\n 1700\n ],\n \"parameters\": {\n \"include\": \"specifiedFields\",\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\",\n \"fieldsToInclude\": \"title,href\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0062af28-8727-4ed4-b283-e250146c2085\",\n \"name\": \"Filter out empty hrefs\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 2560,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"5b9b7353-bd04-4af2-9480-8de135ff4223\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"exists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.href }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"995e04f2-f5e3-48b8-879e-913f3a9fb657\",\n \"name\": \"Set domain (text)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1460,\n 1314\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"c88f1008-00f8-4285-b595-a936e1f925a5\",\n \"name\": \"Add protocool to domain (text)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1660,\n 1314\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ed0f1505-82b6-4393-a0d8-088055137ec9\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.domain.startsWith(\\\"http\\\") ? $json.domain : \\\"http://\\\" + $json.domain }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"3bc68a89-8bab-423a-b4bf-4739739aeb07\",\n \"name\": \"Get website (text)\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1880,\n 1314\n ],\n \"parameters\": {\n \"url\": \"={{ $json.domain }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9d4782c3-872b-4e3c-9f8c-02cfea7a8ff2\",\n \"name\": \"Set response (text)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2320,\n 1314\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2b1c7ff8-06a7-448b-99b7-5ede4b2e0bf0\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2b6ffbd9-892d-4246-b47c-86ad51362ac9\",\n \"name\": \"Set domain (URL)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1460,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2477677e-262e-45a3-99c3-06607b5ae270\",\n \"name\": \"Get website (URL)\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1900,\n 1700\n ],\n \"parameters\": {\n \"url\": \"={{ $json.domain }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4f84eb31-7ad4-4b10-8043-b474fc7f367a\",\n \"name\": \"Set response (URL)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3660,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"53c1c016-7983-4eba-a91d-da2a0523d805\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ JSON.stringify($json.data) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2d2288dd-2ab5-41a1-984c-ff7c5bbab8d1\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1420,\n 1560\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 2467.2678721043376,\n \"height\": 328.79842054012374,\n \"content\": \"### URL scraper tool\\nThis tool is designed to return all links (URLs) from the given webpage.\\n\\n💡 **Consider adding proxy for better crawling accuracy.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"61c1b30f-38e5-44a5-a8be-edd4df1b13e5\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 720,\n 400\n ],\n \"parameters\": {\n \"width\": 221.7729148148145,\n \"height\": 400.16865185185225,\n \"content\": \"### Get companies from database\\nRetrieve names and websites of companies from Supabase table to process crawling.\\n\\n💡 **You can replace Supabase with other database of your choice.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b6c6643a-4450-4576-b9c3-e28bc9ebed5d\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 980,\n 429.32034814814835\n ],\n \"parameters\": {\n \"width\": 221.7729148148145,\n \"height\": 370.14757037037066,\n \"content\": \"### Set parameters for execution\\nPass only `name` and `website` values from database. \\n\\n⚠️ **If you use other field namings, update this node.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52196e71-c2c2-4ec9-91ab-f7ebc9874d6c\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1360,\n 536.6201859111013\n ],\n \"parameters\": {\n \"width\": 339.7128777777775,\n \"height\": 328.4957622370491,\n \"content\": \"### Crawling agent (retrieve social media profile links)\\nCrawl website to extract social media profile links and return them in unified JSON format.\\n\\n💡 **You can change type of retrieved data by editing prompt and parser schema.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ea11931b-c1c7-43c4-a728-f10479863e38\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2200,\n 435.3819888888892\n ],\n \"parameters\": {\n \"width\": 221.7729148148145,\n \"height\": 364.786662962963,\n \"content\": \"### Insert data to database\\nAdd new rows in database table with extracted data.\\n\\n💡 **You can replace Supabase with other database of your choice.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bc3d3337-a5b9-45ec-bb73-810cea9c0e73\",\n \"name\": \"Add protocool to domain (URL)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1680,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ed0f1505-82b6-4393-a0d8-088055137ec9\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.domain.startsWith(\\\"http\\\") ? $json.domain : \\\"http://\\\" + $json.domain }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"db91703c-0133-4030-a9b5-fc3ab4331784\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 660\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 369.60264559047334,\n \"height\": 256.26672065702303,\n \"content\": \"## ⚠️ Note\\n\\n1. Complete video guide for this workflow is available [on my YouTube](https://youtu.be/2W09puFZwtY). \\n2. Remember to add your credentials and configure nodes.\\n3. If you like this workflow, please subscribe to [my YouTube channel](https://www.youtube.com/@workfloows) and/or [my newsletter](https://workfloows.com/).\\n\\n**Thank you for your support!**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"54530733-f8dc-44c7-a645-6f279e9a2c21\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 420\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 369.93062670813185,\n \"height\": 212.09880341753203,\n \"content\": \"## Autonomous AI crawler\\nThis workflow autonomously navigates through given websites and retrieves social media profile links. \\n\\n💡 **You can modify this workflow to retrieve other type of data (e.g. contact details or company profile summary).**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b43aee3c-47b5-47fd-89c4-7d213b26b4ca\",\n \"name\": \"Crawl website\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1400,\n 720\n ],\n \"parameters\": {\n \"text\": \"=Retrieve social media profile URLs from this website: {{ $json.website }}\",\n \"options\": {\n \"systemMessage\": \"You are an automated web crawler tasked with extracting social media URLs from a webpage provided by the user. You have access to a text retrieval tool to gather all text content from the page and a URL retrieval tool to identify and navigate through links on the page. Utilize the URLs retrieved to crawl additional pages. Your objective is to provide a unified JSON output containing the extracted data (links to all possible social media profiles from the website).\"\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"retryOnFail\": true,\n \"typeVersion\": 1.6\n }\n ],\n \"pinData\": {\n \"Get companies\": [\n {\n \"id\": 1,\n \"name\": \"n8n\",\n \"website\": \"https://n8n.io\"\n }\n ]\n },\n \"connections\": {\n \"Text\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"URLs\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"JSON Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Crawl website\": {\n \"main\": [\n [\n {\n \"node\": \"Set social media array\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get companies\": {\n \"main\": [\n [\n {\n \"node\": \"Select company name and website\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Split out URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Set response (URL)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge all data\": {\n \"main\": [\n [\n {\n \"node\": \"Insert new row\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split out URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Filter out empty hrefs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute workflow\": {\n \"main\": [\n [\n {\n \"node\": \"Get companies\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set domain (URL)\": {\n \"main\": [\n [\n {\n \"node\": \"Add protocool to domain (URL)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get website (URL)\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove duplicated\": {\n \"main\": [\n [\n {\n \"node\": \"Set domain to path\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set domain (text)\": {\n \"main\": [\n [\n {\n \"node\": \"Add protocool to domain (text)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get website (text)\": {\n \"main\": [\n [\n {\n \"node\": \"Convert HTML to Markdown\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set domain to path\": {\n \"main\": [\n [\n {\n \"node\": \"Filter out invalid URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Filter out empty hrefs\": {\n \"main\": [\n [\n {\n \"node\": \"Remove duplicated\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set social media array\": {\n \"main\": [\n [\n {\n \"node\": \"Merge all data\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Filter out invalid URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert HTML to Markdown\": {\n \"main\": [\n [\n {\n \"node\": \"Set response (text)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Map company name and website\": {\n \"main\": [\n [\n {\n \"node\": \"Merge all data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Add protocool to domain (URL)\": {\n \"main\": [\n [\n {\n \"node\": \"Get website (URL)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Add protocool to domain (text)\": {\n \"main\": [\n [\n {\n \"node\": \"Get website (text)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select company name and website\": {\n \"main\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Map company name and website\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Autonomous AI crawler", "node_count": 38, "category": "General Automation"}}
{"prompt": "Build a workflow for: Build Your Own Image Search Using Ai Object Detection, Cdn And Elasticsearchbuild Your Own Image Search Using Ai Object Detection, Cdn And Elasticsearch", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.editImage, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.elasticsearch, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"6359f725-1ede-4b05-bc19-05a7e85c0865\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 680,\n 292\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"9e1e61c7-f5fd-4e8a-99a6-ccc5a24f5528\",\n \"name\": \"Fetch Source Image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1000,\n 292\n ],\n \"parameters\": {\n \"url\": \"={{ $json.source_image }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9b1b94cf-3a7d-4c43-ab6c-8df9824b5667\",\n \"name\": \"Split Out Results Only\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1428,\n 323\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"result\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fcbaf6c3-2aee-4ea1-9c5e-2833dd7a9f50\",\n \"name\": \"Filter Score >= 0.9\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1608,\n 323\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"367d83ef-8ecf-41fe-858c-9bfd78b0ae9f\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"gte\"\n },\n \"leftValue\": \"={{ $json.score }}\",\n \"rightValue\": 0.9\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"954ce7b0-ef82-4203-8706-17cfa5e5e3ff\",\n \"name\": \"Crop Object From Image\",\n \"type\": \"n8n-nodes-base.editImage\",\n \"position\": [\n 2080,\n 432\n ],\n \"parameters\": {\n \"width\": \"={{ $json.box.xmax - $json.box.xmin }}\",\n \"height\": \"={{ $json.box.ymax - $json.box.ymin }}\",\n \"options\": {\n \"format\": \"jpeg\",\n \"fileName\": \"={{ $binary.data.fileName.split('.')[0].urlEncode()+'-'+$json.label.urlEncode() + '-' + $itemIndex }}.jpg\"\n },\n \"operation\": \"crop\",\n \"positionX\": \"={{ $json.box.xmin }}\",\n \"positionY\": \"={{ $json.box.ymin }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"40027456-4bf9-4eea-8d71-aa28e69b29e5\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 840,\n 292\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"9e95d951-8530-4a80-bd00-6bb55623a71f\",\n \"name\": \"CLOUDFLARE_ACCOUNT_ID\",\n \"type\": \"string\",\n \"value\": \"\"\n },\n {\n \"id\": \"66807a90-63a1-4d4e-886e-e8abf3019a34\",\n \"name\": \"model\",\n \"type\": \"string\",\n \"value\": \"@cf/facebook/detr-resnet-50\"\n },\n {\n \"id\": \"a13ccde6-e6e3-46f4-afa3-2134af7bc765\",\n \"name\": \"source_image\",\n \"type\": \"string\",\n \"value\": \"https://images.pexels.com/photos/2293367/pexels-photo-2293367.jpeg?auto=compress&cs=tinysrgb&w=600\"\n },\n {\n \"id\": \"0734fc55-b414-47f7-8b3e-5c880243f3ed\",\n \"name\": \"elasticsearch_index\",\n \"type\": \"string\",\n \"value\": \"n8n-image-search\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"c3d8c5e3-546e-472c-9e6e-091cf5cee3c3\",\n \"name\": \"Use Detr-Resnet-50 Object Classification\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1248,\n 324\n ],\n \"parameters\": {\n \"url\": \"=https://api.cloudflare.com/client/v4/accounts/{{ $('Set Variables').item.json.CLOUDFLARE_ACCOUNT_ID }}/ai/run/{{ $('Set Variables').item.json.model }}\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"contentType\": \"binaryData\",\n \"authentication\": \"predefinedCredentialType\",\n \"inputDataFieldName\": \"data\",\n \"nodeCredentialType\": \"cloudflareApi\"\n },\n \"credentials\": {\n \"cloudflareApi\": {\n \"id\": \"qOynkQdBH48ofOSS\",\n \"name\": \"Cloudflare account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3c7aa2fc-9ca1-41ba-a10d-aa5930d45f18\",\n \"name\": \"Upload to Cloudinary\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2380,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://api.cloudinary.com/v1_1/daglih2g8/image/upload\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendQuery\": true,\n \"contentType\": \"multipart-form-data\",\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"file\",\n \"parameterType\": \"formBinaryData\",\n \"inputDataFieldName\": \"data\"\n }\n ]\n },\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"upload_preset\",\n \"value\": \"n8n-workflows-preset\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"sT9jeKzZiLJ3bVPz\",\n \"name\": \"Cloudinary API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3c4e1f04-a0ba-4cce-b82a-aa3eadc4e7e1\",\n \"name\": \"Create Docs In Elasticsearch\",\n \"type\": \"n8n-nodes-base.elasticsearch\",\n \"position\": [\n 2580,\n 380\n ],\n \"parameters\": {\n \"indexId\": \"={{ $('Set Variables').item.json.elasticsearch_index }}\",\n \"options\": {},\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": \"image_url\",\n \"fieldValue\": \"={{ $json.secure_url.replace('upload','upload/f_auto,q_auto') }}\"\n },\n {\n \"fieldId\": \"source_image_url\",\n \"fieldValue\": \"={{ $('Set Variables').item.json.source_image }}\"\n },\n {\n \"fieldId\": \"label\",\n \"fieldValue\": \"={{ $('Crop Object From Image').item.json.label }}\"\n },\n {\n \"fieldId\": \"metadata\",\n \"fieldValue\": \"={{ JSON.stringify(Object.assign($('Crop Object From Image').item.json, { filename: $json.original_filename })) }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"elasticsearchApi\": {\n \"id\": \"dRuuhAgS7AF0mw0S\",\n \"name\": \"Elasticsearch account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"292c9821-c123-44fa-9ba1-c37bf84079bc\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 120\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 541.1455500767354,\n \"height\": 381.6388867600897,\n \"content\": \"## 1. Get Source Image\\n[Read more about setting variables for your workflow](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set)\\n\\nFor this demo, we'll manually define an image to process. In production however, this image can come from a variety of sources such as drives, webhooks and more.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"863271dc-fb9d-4211-972d-6b57336073b4\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1180,\n 80\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 579.7748008857744,\n \"height\": 437.4680103498263,\n \"content\": \"## 2. Use Detr-Resnet-50 Object Classification\\n[Learn more about Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai/)\\n\\nNot all AI workflows need an LLM! As in this example, we're using a non-LLM vision model to parse the source image and return what objects are contained within. The image search feature we're building will be based on the objects in the image making for a much more granular search via object association.\\n\\nWe'll use the Cloudflare Workers AI service which conveniently provides this model via API use.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b73b45da-0436-4099-b538-c6b3b84822f2\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1800,\n 260\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 466.35460775498495,\n \"height\": 371.9272151757119,\n \"content\": \"## 3. Crop Objects Out of Source Image\\n[Read more about Editing Images in n8n](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.editimage)\\n\\nWith our objects identified by their bounding boxes, we can \\\"cut\\\" them out of the source image as separate images.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"465bd842-8a35-49d8-a9ff-c30d164620db\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2300,\n 180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 478.20345439832454,\n \"height\": 386.06196032653685,\n \"content\": \"## 4. Index Object Images In ElasticSearch\\n[Read more about using ElasticSearch](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.elasticsearch)\\n\\nBy storing the newly created object images externally and indexing them in Elasticsearch, we now have a foundation for our Image Search service which queries by object association.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6a04b4b5-7830-410d-9b5b-79acb0b1c78b\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1800,\n -220\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 328.419768654291,\n \"height\": 462.65463700396174,\n \"content\": \"Fig 1. Result of Classification\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8f607951-ba41-4362-8323-e8b4b96ad122\",\n \"name\": \"Fetch Source Image Again\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1880,\n 432\n ],\n \"parameters\": {\n \"url\": \"={{ $('Set Variables').item.json.source_image }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6933f67d-276b-4908-8602-654aa352a68b\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 220,\n 120\n ],\n \"parameters\": {\n \"width\": 359.6648027457353,\n \"height\": 352.41026669883723,\n \"content\": \"## Try It Out!\\n### This workflow does the following:\\n* Downloads an image\\n* Uses an object classification AI model to identify objects in the image.\\n* Crops the objects out from the original image into new image files.\\n* Indexes the image's object in an Elasticsearch Database to enable image search.\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"35615ed5-43e8-43f0-95fe-1f95a1177d69\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 800,\n 280\n ],\n \"parameters\": {\n \"width\": 172.9365918827757,\n \"height\": 291.6881468483679,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n🚨**Required**\\n* Set your variables here first!\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch Source Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch Source Image\": {\n \"main\": [\n [\n {\n \"node\": \"Use Detr-Resnet-50 Object Classification\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Filter Score >= 0.9\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch Source Image Again\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload to Cloudinary\": {\n \"main\": [\n [\n {\n \"node\": \"Create Docs In Elasticsearch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Crop Object From Image\": {\n \"main\": [\n [\n {\n \"node\": \"Upload to Cloudinary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out Results Only\": {\n \"main\": [\n [\n {\n \"node\": \"Filter Score >= 0.9\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch Source Image Again\": {\n \"main\": [\n [\n {\n \"node\": \"Crop Object From Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Use Detr-Resnet-50 Object Classification\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out Results Only\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Build Your Own Image Search Using AI Object Detection, CDN and ElasticSearchBuild Your Own Image Search Using AI Object Detection, CDN and ElasticSearch", "node_count": 17, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for build a financial documents assistant using qdrant and mistral.ai", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.vectorStoreQdrant, @n8n/n8n-nodes-langchain.embeddingsMistralCloud, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.chainRetrievalQa, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.localFileTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"c5525f47-4d91-4b98-87bb-566b90da64a1\",\n \"name\": \"Local File Trigger\",\n \"type\": \"n8n-nodes-base.localFileTrigger\",\n \"position\": [\n 660,\n 700\n ],\n \"parameters\": {\n \"path\": \"/home/node/host_mount/local_file_search\",\n \"events\": [\n \"add\",\n \"change\",\n \"unlink\"\n ],\n \"options\": {\n \"awaitWriteFinish\": true\n },\n \"triggerOn\": \"folder\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"804334d6-e34d-40d1-9555-b331ffe66f6f\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 664.5766613599001,\n 881.8474780113352\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"7ab0e284-b667-4d1f-8ceb-fb05e4081a06\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 840,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"35ea70c4-8669-4975-a68d-bbaa094713c0\",\n \"name\": \"directory\",\n \"type\": \"string\",\n \"value\": \"/home/node/BankStatements\"\n },\n {\n \"id\": \"1d081d19-ff4e-462a-9cbe-7af2244bf87f\",\n \"name\": \"file_added\",\n \"type\": \"string\",\n \"value\": \"={{ $json.event === 'add' && $json.path || ''}}\"\n },\n {\n \"id\": \"18f8dc03-51ca-48c7-947f-87ce8e1979bf\",\n \"name\": \"file_changed\",\n \"type\": \"string\",\n \"value\": \"={{ $json.event === 'change' && $json.path || '' }}\"\n },\n {\n \"id\": \"65074ff7-037b-4b3b-b2c3-8a61755ab43b\",\n \"name\": \"file_deleted\",\n \"type\": \"string\",\n \"value\": \"={{ $json.event === 'unlink' && $json.path || '' }}\"\n },\n {\n \"id\": \"9a1902e7-f94d-4d1f-9006-91c67354d3e8\",\n \"name\": \"qdrant_collection\",\n \"type\": \"string\",\n \"value\": \"local_file_search\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"76173972-ceca-43a4-b85f-00b41f774304\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 580,\n 460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 665.0909497859384,\n \"height\": 596.8351502261468,\n \"content\": \"## Step 1. Select the target folder\\n[Read more about local file trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger)\\n\\nIn this workflow, we'll monitor a specific folder on disk that n8n has access to. Since we're using docker, we can either use the n8n volume or mount a folder from the host machine.\\n\\nThe local file trigger is useful to execute the workflow whenever changes are made to our target folder.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eda839f7-dde4-4d1f-9fe6-692df4ac7282\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 184.57666135990007,\n 461.84747801133517\n ],\n \"parameters\": {\n \"width\": 372.51107341403605,\n \"height\": 356.540665091993,\n \"content\": \"## Try It Out!\\n### This workflow does the following:\\n* Monitors a target folder for changes using the local file trigger\\n* Synchronises files in the target folder with their vectors in Qdrant\\n* Mistral AI is used to create a Q&A AI agent on all files in the target folder\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f82f6de0-af8f-4fdf-a733-f59ba4fed02f\",\n \"name\": \"Read File\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1340,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"={{ $json.file_added }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7354a080-051b-479f-97b1-49cc0c14c9d8\",\n \"name\": \"Embeddings Mistral Cloud\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsMistralCloud\",\n \"position\": [\n 1720,\n 1280\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1ad45ff-a882-4aed-82e2-cad2483cf4e8\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1820,\n 1280\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"filter_by_filename\",\n \"value\": \"={{ $json.file_location }}\"\n },\n {\n \"name\": \"filter_by_created_month\",\n \"value\": \"={{ $now.year + '-' + $now.monthShort }}\"\n },\n {\n \"name\": \"filter_by_created_week\",\n \"value\": \"={{ $now.year + '-' + $now.monthShort + '-W' + $now.weekNumber }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.data }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0b0e29b9-8873-4074-94dc-9f0364c28835\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1840,\n 1400\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c0555ba6-a1bd-4aa9-a340-a9c617f8e6db\",\n \"name\": \"Prepare Embedding Document\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1520,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"41a1d4ca-e5a5-4fb9-b249-8796ae759b33\",\n \"name\": \"data\",\n \"type\": \"string\",\n \"value\": \"=## file location\\n{{ [$json.directory, $json.fileName].join('/') }}\\n## file created\\n{{ $now.toISO() }}\\n## file contents\\n{{ $input.item.binary.data.data.base64Decode() }}\"\n },\n {\n \"id\": \"c091704d-b81c-448b-8c90-156ef568b871\",\n \"name\": \"file_location\",\n \"type\": \"string\",\n \"value\": \"={{ [$json.directory, $json.fileName].join('/') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"ffe8c363-0809-4d21-aa8f-34b0fc2dc57f\",\n \"name\": \"Chat Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 2280,\n 680\n ],\n \"webhookId\": \"37587fe0-b8db-4012-90a7-1f65b9bfd0df\",\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"8d958669-60be-4bb2-80fc-2a6c7c7bfae6\",\n \"name\": \"Question and Answer Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainRetrievalQa\",\n \"position\": [\n 2500,\n 680\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"f143e438-8176-4923-a866-3f9a2a16793d\",\n \"name\": \"Mistral Cloud Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatMistralCloud\",\n \"position\": [\n 2500,\n 840\n ],\n \"parameters\": {\n \"model\": \"mistral-small-2402\",\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"06dd8f4c-3b66-43e0-85c8-ec222e275f87\",\n \"name\": \"Vector Store Retriever\",\n \"type\": \"@n8n/n8n-nodes-langchain.retrieverVectorStore\",\n \"position\": [\n 2620,\n 840\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"2fdabcb5-a7a7-4e02-8c1b-9190e2e52385\",\n \"name\": \"Embeddings Mistral Cloud1\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsMistralCloud\",\n \"position\": [\n 2620,\n 1080\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e5664534-de07-481f-87dd-68d7d0715baa\",\n \"name\": \"Remap for File_Added Flow\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1920,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"840219e1-ed47-4b00-83fd-6b3c0bd71650\",\n \"name\": \"file_added\",\n \"type\": \"string\",\n \"value\": \"={{ $('Set Variables').item.json.file_changed }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"1fd14832-aafe-4d72-b4f2-7afc72df97dc\",\n \"name\": \"Search For Existing Point\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1340,\n 280\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.filter_by_filename\\\",\\n \\\"match\\\": {\\n \\\"value\\\": \\\"{{ $json.file_changed }}\\\"\\n }\\n }\\n ]\\n },\\n \\\"limit\\\": 1,\\n \\\"with_payload\\\": false,\\n \\\"with_vector\\\": false\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b5fa817f-82d6-41dd-9817-4c1dd9137b76\",\n \"name\": \"Has Existing Point?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1520,\n 280\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0392bac0-8fb5-406b-b59f-575edf5ab30d\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.result.points }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"b0fa4fa4-5d1b-4a12-b8ba-a10d71f31f94\",\n \"name\": \"Delete Existing Point\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1720,\n 700\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/delete\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"points\",\n \"value\": \"={{ $json.result.points.map(point => point.id) }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5408adfe-4d6b-407c-aac7-e87c9b1a1592\",\n \"name\": \"Search For Existing Point1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1340,\n 700\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.filter_by_filename\\\",\\n \\\"match\\\": {\\n \\\"value\\\": \\\"{{ $json.file_changed }}\\\"\\n }\\n }\\n ]\\n },\\n \\\"limit\\\": 1,\\n \\\"with_payload\\\": false,\\n \\\"with_vector\\\": false\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fac43587-0d24-4d6e-a0d5-8cc8f9615967\",\n \"name\": \"Has Existing Point?1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1520,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0392bac0-8fb5-406b-b59f-575edf5ab30d\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.result.points }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"010baacd-fac1-4cc1-86bf-9d6ef11916fe\",\n \"name\": \"Delete Existing Point1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1700,\n 280\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/delete\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"points\",\n \"value\": \"={{ $json.result.points.map(point => point.id) }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"2d6fb29c-2fac-41de-9ad0-cc781b246378\",\n \"name\": \"Handle File Event\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1000,\n 700\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"file_deleted\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"a1f6d86a-9805-4d0e-ac70-90c9cf0ad339\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.file_deleted }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"file_changed\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"d15cde67-b5b0-4676-b4fb-ead749147392\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.file_changed }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"file_added\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.file_added }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"da91b2aa-613c-4e3e-af83-fbd3bb7e922e\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 123.92779403575491\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 847.032584995578,\n \"height\": 335.8400964393443,\n \"content\": \"## Step 2. When files are removed, the vector point is cleared.\\n[Learn how to delete points using the Qdrant API](https://qdrant.tech/documentation/concepts/points/#delete-points)\\n\\nTo keep our vectorstore relevant, we'll implement a simple synchronisation system whereby documents deleted from the local file folder are also purged from Qdrant. This can be simply achieved using Qdrant APIs.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2f9f5b2b-6504-4b27-a0c4-f3373df352df\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 480\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 855.9952607674757,\n \"height\": 433.01782147687817,\n \"content\": \"## Step 3. When files are updated, the vector point is updated.\\n[Learn how to delete points using the Qdrant API](https://qdrant.tech/documentation/concepts/points/#delete-points)\\n\\nSimilarly to the files deleted branch, when we encounter a change in a file we'll update the matching vector point in Qdrant to ensure our vector store stays relevant. Here, we can achieve this my deleting the existing vector point and creating it anew with the updated bank statement.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"38128b7f-d0f2-405c-a7de-662df812c344\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 940\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 846.8204626627492,\n \"height\": 629.9714759033081,\n \"content\": \"## Step 4. When new files are added, add them to Qdrant Vectorstore.\\n[Read more about the Qdrant node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\\n\\nUsing Qdrant, we'll able to create a simple yet powerful RAG based application for our bank statements. One of Qdrant's most powerful features is its filtering system, we'll use it to manage the synchronisation of our local file system and Qdrant.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e85e2a30-e775-42fe-a12a-ac5de4eb4673\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2180,\n 491.43199269284935\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 744.4578330639196,\n \"height\": 759.7908149448928,\n \"content\": \"## Step 5. Create AI Agent expert on historic bank statements \\n[Read more about the Question & Answer Chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainretrievalqa)\\n\\nFinally, let's use a Question & Answer AI node to combine the Mistral AI model and Qdrant as the vector store retriever to create a local expert for all our bank statements questions. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b29b0b9-ffee-4456-b036-9b39400d2b31\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1700,\n 1120\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Set Variables').item.json.qdrant_collection }}\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1857bebb-b492-415e-96c8-235329bfd28a\",\n \"name\": \"Qdrant Vector Store1\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 2620,\n 960\n ],\n \"parameters\": {\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"BankStatements\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Read File\": {\n \"main\": [\n [\n {\n \"node\": \"Prepare Embedding Document\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Handle File Event\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Handle File Event\": {\n \"main\": [\n [\n {\n \"node\": \"Search For Existing Point\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Search For Existing Point1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Read File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Local File Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Has Existing Point?\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Existing Point1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Has Existing Point?1\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Existing Point\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store1\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Retriever\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Existing Point\": {\n \"main\": [\n [\n {\n \"node\": \"Remap for File_Added Flow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Retriever\": {\n \"ai_retriever\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_retriever\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings Mistral Cloud\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Mistral Cloud Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings Mistral Cloud1\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store1\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remap for File_Added Flow\": {\n \"main\": [\n [\n {\n \"node\": \"Read File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search For Existing Point\": {\n \"main\": [\n [\n {\n \"node\": \"Has Existing Point?\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prepare Embedding Document\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search For Existing Point1\": {\n \"main\": [\n [\n {\n \"node\": \"Has Existing Point?1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Build a Financial Documents Assistant using Qdrant and Mistral.ai", "node_count": 29, "category": "Data Processing"}}
{"prompt": "How would you build: Build A Tax Code Assistant With Qdrant, Mistral.Ai And Openai?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.compression, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"1bb3c94e-326e-41ca-82e4-102a598dba39\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -320,\n 300\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"751b283b-ea88-4fcd-ace3-3c86631f8876\",\n \"name\": \"Embeddings Mistral Cloud\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsMistralCloud\",\n \"position\": [\n 1760,\n 560\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f0851949-1036-4040-84df-61295cc5db74\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1900,\n 560\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"chapter\",\n \"value\": \"={{ $('For Each Section...').item.json.chapter }}\"\n },\n {\n \"name\": \"section\",\n \"value\": \"={{ $('For Each Section...').item.json.label }}\"\n },\n {\n \"name\": \"=title\",\n \"value\": \"={{ $('For Each Section...').item.json.title }}\"\n },\n {\n \"name\": \"content_order\",\n \"value\": \"={{ $itemIndex }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.content }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"41d10b61-9fbe-446e-a65a-0db6e0116e5b\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1920,\n 680\n ],\n \"parameters\": {\n \"options\": {},\n \"chunkSize\": 2000\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1ecb096-4d31-4993-b801-ca3f09a9edc7\",\n \"name\": \"Get Tax Code Zip File\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -20,\n 340\n ],\n \"parameters\": {\n \"url\": \"https://statutes.capitol.texas.gov/Docs/Zips/TX.pdf.zip\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"responseFormat\": \"file\"\n }\n }\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"cf983315-fe2a-43c1-8dc6-b17a217b845e\",\n \"name\": \"Extract Zip Files\",\n \"type\": \"n8n-nodes-base.compression\",\n \"position\": [\n 140,\n 340\n ],\n \"parameters\": {},\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"8d02dd80-d14a-4e56-ab40-f2c4a445c57b\",\n \"name\": \"Files as Items\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 300,\n 340\n ],\n \"parameters\": {\n \"include\": \"allOtherFields\",\n \"options\": {},\n \"fieldToSplitOut\": \"$binary\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"038060dc-e01d-40ae-878d-5043bc36ab91\",\n \"name\": \"Extract PDF Contents\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 560,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"pdf\",\n \"binaryPropertyName\": \"=file_{{ $itemIndex }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4a85003b-b988-467b-b1cb-29206cbed879\",\n \"name\": \"Extract From Chapter\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 740,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"d791928a-d775-48cc-9004-a92cbe2403d3\",\n \"name\": \"contents\",\n \"type\": \"array\",\n \"value\": \"={{\\n $json.text\\n .substring($json.text.search(/\\\\nSec\\\\.\\\\nA[0-9]{1,4}\\\\.[0-9]{1,5}\\\\.AA/), $json.text.length)\\n .split(/\\\\nSec\\\\.\\\\nA[0-9]{1,2}\\\\.[0-9]{1,2}\\\\.AA/g)\\n .filter(text => !text.isEmpty())\\n .map(text => {\\n const output = text.replaceAll('AA', ' ').replaceAll('\\\\nA', ' ');\\n const title = output.substring(0, output.indexOf('.'));\\n const content = output.substring(output.indexOf('.')+1, output.length).replaceAll('\\\\n', ' ').trim();\\n return { title, content };\\n })\\n}}\"\n },\n {\n \"id\": \"bc06641f-0b75-4a35-8752-78803231d5d6\",\n \"name\": \"labels\",\n \"type\": \"array\",\n \"value\": \"={{\\n $json.text\\n .match(/\\\\nSec\\\\.\\\\nA[0-9]{1,4}\\\\.[0-9]{1,5}\\\\.AA/g)\\n .map(text => ({\\n label: text.replaceAll('AA', ' ')\\n .replaceAll('\\\\nA', ' ')\\n .replaceAll('\\\\n', '')\\n .trim()\\n }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"ee338786-91df-4784-bd7e-f86c0e13ca26\",\n \"name\": \"Map To Sections\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 740,\n 520\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"60109e60-d760-45bb-be09-7cb2b5eb85bc\",\n \"name\": \"section\",\n \"type\": \"array\",\n \"value\": \"={{\\n $json.labels.map((label, idx) => ({\\n label: label.label.match(/\\\\d.+/)[0].replace(/\\\\.$/, ''),\\n title: $json.contents[idx].title,\\n content: $json.contents[idx].content,\\n chapter: $('Extract PDF Contents').first().json.info.Title,\\n }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"41c9899d-26d7-48af-9af2-8563ab0fb7e4\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 1313,\n 1200\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a93c19b-09d9-4e38-8b0c-2008fc03f7fc\",\n \"name\": \"Get Mistral Embeddings\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1660,\n 1060\n ],\n \"parameters\": {\n \"url\": \"https://api.mistral.ai/v1/embeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"model\",\n \"value\": \"mistral-embed\"\n },\n {\n \"name\": \"encoding_format\",\n \"value\": \"float\"\n },\n {\n \"name\": \"input\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"mistralCloudApi\"\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1adc12bd-ba61-4f1a-b1f9-3f19a542e294\",\n \"name\": \"Content Chunking @ 50k Chars\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1580,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7753a4f4-3ec2-4c05-81df-3d5e8979a478\",\n \"name\": \"=content\",\n \"type\": \"array\",\n \"value\": \"={{ new Array(Math.round($json.content.length / Math.min($json.content.length, 30000))).fill('').map((_,idx) => $json.content.substring(idx * 30000, idx * 50000 + 30000)) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"ff8adce2-8f73-4a8f-b512-5aa560ca0954\",\n \"name\": \"Split Out Chunks\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1580,\n 580\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"content\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5f08ce3c-240d-4c91-bb23-953866fd0361\",\n \"name\": \"For Each Section...\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n 1400,\n 280\n ],\n \"parameters\": {\n \"options\": {},\n \"batchSize\": 5\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"6346cf67-7d93-4315-bb0d-2e016c9853b9\",\n \"name\": \"Sections To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 940,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"section\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"95e34952-03e2-40e3-a245-9da8c9e1f249\",\n \"name\": \"Only Valid Sections\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1100,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"or\",\n \"conditions\": [\n {\n \"id\": \"121e8f86-2ead-47e0-8e17-52d7c6ba8265\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.content }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"dfe1818f-93b7-4116-8a6e-dcb2e6c23fcf\",\n \"name\": \"Use Qdrant Search API1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1860,\n 1060\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/texas_tax_codes/points/search\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"limit\",\n \"value\": \"={{ 4 }}\"\n },\n {\n \"name\": \"vector\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n },\n {\n \"name\": \"with_payload\",\n \"value\": \"={{ true }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"588318e6-e188-4d99-9c11-39b2f3fb1c18\",\n \"name\": \"Use Qdrant Scroll API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1660,\n 1320\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/texas_tax_codes/points/scroll\",\n \"method\": \"POST\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"next_page_offset\",\n \"type\": \"body\",\n \"value\": \"={{ $response.body.result.next_page_offset }}\"\n }\n ]\n },\n \"completeExpression\": \"={{ $response.body.result.next_page_offset === null }}\",\n \"paginationCompleteWhen\": \"other\"\n }\n }\n },\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"limit\",\n \"value\": \"={{ 100 }}\"\n },\n {\n \"name\": \"with_payload\",\n \"value\": \"={{ true }}\"\n },\n {\n \"name\": \"filter\",\n \"value\": \"={{\\n{\\n \\\"must\\\": [\\n ($json.query.section\\n ? { \\\"key\\\": \\\"metadata.section\\\", \\\"match\\\": { \\\"value\\\": $json.query.section } }\\n : { \\\"key\\\": \\\"metadata.chapter\\\", \\\"match\\\": { \\\"value\\\": $json.query.chapter } }\\n )\\n ]\\n}\\n}}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"bbf01344-c60e-42b3-8d7d-2bb360876d79\",\n \"name\": \"Get Search Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1860,\n 1320\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"08ad2d6e-4ed1-409e-b89c-1f0c7fdf1b64\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"=---\\nchapter: {{ $json.result.points.first().payload.metadata.chapter }}\\nsection: {{ $json.result.points.first().payload.metadata.section }}\\ntitle: {{ $json.result.points.first().payload.metadata.title }}\\n---\\n{{ $json.result.points\\n .toSorted((a,b) => (a.payload.metadata.content_order || 0) - (b.payload.metadata.content_order || 0))\\n .map(point => point.payload.content).join('\\\\n') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"3b23ff5e-158a-470f-a262-d001d52feeba\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n 183.38345554113084\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 571.4359274276384,\n \"height\": 352.65642339230595,\n \"content\": \"## Step 1. Download the Tax Code PDF\\n[Read more about handling Zip Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.compression/)\\n\\nLet's begin by pulling a zip file containing all the tax codes as separate PDF files. We can unzip on the fly with n8n's compression node.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"02826887-eb26-48a0-928e-fe56ee008425\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 199.87747230655896\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 777.897719182587,\n \"height\": 503.3459981018574,\n \"content\": \"## Step 2. Extract and Partition Into Chapters & Sections\\n[Learn more about reading PDF Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile)\\n\\nRather than ingest the raw text of the PDF, we'll be a little more strategic and extract the tax code sections separately instead. Not only will this provide cleaner results, we'll also be able to fetch sections in isolation if required.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"31a34972-31ab-4b96-9d09-cd30a3b184cf\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1300,\n 108.82958126396\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 1045.1698686248747,\n \"height\": 771.1260499456115,\n \"content\": \"## Step 3. Save into Qdrant VectorStore\\n[Read more about using the Qdrant Vectorstore](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\\n\\nWe'll save our data into a Qdrant collection being mindful to use metadata to take full advantage of Qdrant's filtering capabilities later.\\nThough not always required, since the tax code documents can be quite large we'll implement a loop here to throttle the number of tokens being processed as to not trip the Mistral.ai rate limits for embeddings.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"27039fa6-6388-45ee-a2d5-6bb68554944b\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1760,\n 400\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"texas_tax_codes\",\n \"cachedResultName\": \"texas_tax_codes\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5ec16c20-eb1e-454a-8165-594d83dd8711\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n 900\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 858.1415560000298,\n \"height\": 513.2269439624808,\n \"content\": \"## Step 4. Build a Tax Code Assistant ChatBot\\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\\n\\nFor our chatbot, we'll use an AI agent node because we want to achieve more than one functionality. The first will be querying to relevant texts to answer a user's question and secondly, a direct search feature to pull full section text when requested.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d5145c6f-768b-42d8-a045-20e045f52b0b\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1240,\n 904.6076722083936\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 1030.0926850706744,\n \"height\": 577.7854680142904,\n \"content\": \"## Step 5. Use Qdrant API as Tools\\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\\n\\nOur Ask Tool will generate embeddings using Mistral.ai and query our Qdrant collection using the Qdrant Search API.\\nOur Search Tool will use filter our Qdrant collection using the Qdrant Scroll API, matching on each doc's section metadata key.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ccf50479-53d8-4edf-8f2b-73060a6a6e0f\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 700,\n 1063\n ],\n \"parameters\": {\n \"options\": {\n \"systemMessage\": \"You are a helpful assistant answering user questions on the tax code legistration for the state of Texas, united states of america.\\n\\nAlong with your response also note in which chapter and section number the information was found. \"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"d7e7fa9e-73ba-4df3-862e-25af63d9d9b4\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 820,\n 1223\n ],\n \"parameters\": {},\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"a79bdbcd-7157-470a-aadc-bd3f8a4c40d2\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 420,\n 1063\n ],\n \"webhookId\": \"db2b118d-942e-4be9-b154-7df887232f97\",\n \"parameters\": {\n \"public\": true,\n \"options\": {\n \"loadPreviousSession\": \"memory\"\n },\n \"initialMessages\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6046f137-b508-484f-8577-ac51a35eee09\",\n \"name\": \"Window Buffer Memory1\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 420,\n 1223\n ],\n \"parameters\": {},\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"30f238f8-1987-4d6d-b06d-ac2106ea3734\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 700,\n 1223\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8a8490f6-5957-495c-a7af-15cec669f39c\",\n \"name\": \"1sec\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2160,\n 660\n ],\n \"webhookId\": \"852317f0-aadf-4658-ae44-d05e5de29302\",\n \"parameters\": {\n \"amount\": 1\n },\n \"executeOnce\": false,\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"142450f5-8ec1-4ae6-b25c-df3233394d4e\",\n \"name\": \"Ask Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 960,\n 1223\n ],\n \"parameters\": {\n \"name\": \"query_tax_code_knowledgebase\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"ask_tool\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to query the tax code database for information. Structure your query in the form of a question for best results.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"ee455a4e-c9a1-49b2-a036-d3f3d34099c6\",\n \"name\": \"Search Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1060,\n 1223\n ],\n \"parameters\": {\n \"name\": \"get_tax_code_section\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"search_tool\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to search for specific sections of the tax code document. Pass in either a known section number/id to get the section's text or a known chapter name to return all sections for the chapter.\",\n \"jsonSchemaExample\": \"{\\n\\t\\\"chapter\\\": \\\"some_value\\\",\\n \\\"section\\\": \\\"Sec 1.01\\\"\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"f3240f8d-8869-4088-8e4f-d4e23a3c12a8\",\n \"name\": \"Switch\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1473,\n 1200\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"ask_tool\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"ask_tool\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"search_tool\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"909362ed-eb97-405c-9f2f-f404a3bfeaf3\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"search_tool\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"71441b5a-099b-49e0-a212-3087d958b38b\",\n \"name\": \"Get Ask Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2060,\n 1060\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"eb5f2b3c-bb88-4cae-a960-164016c9a9e4\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"=|chapter|section|title|content|\\n|-|-|-|-|\\n{{\\n $json.result.map(row => [\\n '',\\n row.payload.metadata.chapter,\\n row.payload.metadata.section,\\n row.payload.metadata.title,\\n row.payload.content,\\n ''\\n ].join('|')).join('\\\\n')\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"54a744a3-95c9-4d9a-b1e7-e266a51f77ca\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n -79.56762868134751\n ],\n \"parameters\": {\n \"width\": 383.14868794462586,\n \"height\": 563.604204119637,\n \"content\": \"## Try Me Out!\\n### This workflow builds an AI powered Legal assistant who answers questions about tax codes.\\n* Download publically available tax code PDFs from the relevant government website.\\n* Strategically exact tax code sections and store these in our Qdrant Vectorstore using Mistral.ai embeddings.\\n* Use an AI Agent to answer user's tax questions by attaching tools which query our Qdrant vectorstore.\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7f802f12-03e0-4b8e-a880-8c26242c1152\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 790.1971986436472,\n 720\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 489.3944544742706,\n \"height\": 131.61363932813174,\n \"content\": \"### 🙋♀️What's the difference?\\nWith raw PDF data, we may blur the boundaries between chapters and sections making later results hard to find, incoherent or misleading.\\nDepending on your use-case, store your data in a way you intend to retrieve it!\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"1sec\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Section...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Switch\": {\n \"main\": [\n [\n {\n \"node\": \"Get Mistral Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Use Qdrant Scroll API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Ask Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Files as Items\": {\n \"main\": [\n [\n {\n \"node\": \"Extract PDF Contents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Map To Sections\": {\n \"main\": [\n [\n {\n \"node\": \"Sections To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Sections To List\": {\n \"main\": [\n [\n {\n \"node\": \"Only Valid Sections\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out Chunks\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Zip Files\": {\n \"main\": [\n [\n {\n \"node\": \"Files as Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"For Each Section...\": {\n \"main\": [\n null,\n [\n {\n \"node\": \"Content Chunking @ 50k Chars\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only Valid Sections\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Section...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"1sec\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract From Chapter\": {\n \"main\": [\n [\n {\n \"node\": \"Map To Sections\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract PDF Contents\": {\n \"main\": [\n [\n {\n \"node\": \"Extract From Chapter\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Tax Code Zip File\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Zip Files\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Use Qdrant Scroll API\": {\n \"main\": [\n [\n {\n \"node\": \"Get Search Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory1\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"When chat message received\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Mistral Embeddings\": {\n \"main\": [\n [\n {\n \"node\": \"Use Qdrant Search API1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Use Qdrant Search API1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Ask Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings Mistral Cloud\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Switch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Content Chunking @ 50k Chars\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out Chunks\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Tax Code Zip File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Build a Tax Code Assistant with Qdrant, Mistral.ai and OpenAI", "node_count": 38, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 27\n- Node Types: n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.extractFromFile, n8n-nodes-base.aggregate, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"a58HZKwcOy7lmz56\",\n \"meta\": {\n \"instanceId\": \"178ef8a5109fc76c716d40bcadb720c455319f7b7a3fd5a39e4f336a091f524a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"06a34e3b-519a-4b48-afd0-4f2b51d2105d\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 4980,\n 740\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"9213003d-433f-41ab-838b-be93860261b2\",\n \"name\": \"GitHub\",\n \"type\": \"n8n-nodes-base.github\",\n \"position\": [\n 5200,\n 740\n ],\n \"parameters\": {\n \"owner\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"mrscoopers\"\n },\n \"filePath\": \"Top_1000_IMDB_movies.csv\",\n \"resource\": \"file\",\n \"operation\": \"get\",\n \"repository\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n_demo\",\n \"cachedResultUrl\": \"https://github.com/mrscoopers/n8n_demo\",\n \"cachedResultName\": \"n8n_demo\"\n },\n \"additionalParameters\": {}\n },\n \"credentials\": {\n \"githubApi\": {\n \"id\": \"VbfC0mqEq24vPIwq\",\n \"name\": \"GitHub n8n demo\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9850d1a9-3a6f-44c0-9f9d-4d20fda0b602\",\n \"name\": \"Extract from File\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 5360,\n 740\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7704f993-b1c9-477a-8b5a-77dc2cb68161\",\n \"name\": \"Embeddings OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 5560,\n 940\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bc6dd8e5-0186-4bf9-9c60-2eab6d9b6520\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 5700,\n 960\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"movie_name\",\n \"value\": \"={{ $('Extract from File').item.json['Movie Name'] }}\"\n },\n {\n \"name\": \"movie_release_date\",\n \"value\": \"={{ $('Extract from File').item.json['Year of Release'] }}\"\n },\n {\n \"name\": \"movie_description\",\n \"value\": \"={{ $('Extract from File').item.json.Description }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $('Extract from File').item.json.Description }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f87ea014-fe79-444b-88ea-0c4773872b0a\",\n \"name\": \"Token Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterTokenSplitter\",\n \"position\": [\n 5700,\n 1140\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"d8d28cec-c8e8-4350-9e98-cdbc6da54988\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 5600,\n 740\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"imdb\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"Zin08PA0RdXVUKK7\",\n \"name\": \"QdrantApi n8n demo\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f86e03dc-12ea-4929-9035-4ec3cf46e300\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 4920,\n 1140\n ],\n \"webhookId\": \"71bfe0f8-227e-466b-9d07-69fd9fe4a27b\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"ead23ef6-2b6b-428d-b412-b3394bff8248\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 5040,\n 1340\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7ab936e1-aac8-43bc-a497-f2d02c2c19e5\",\n \"name\": \"Call n8n Workflow Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 5320,\n 1340\n ],\n \"parameters\": {\n \"name\": \"movie_recommender\",\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"a58HZKwcOy7lmz56\"\n },\n \"description\": \"Call this tool to get a list of recommended movies from a vector database. \",\n \"inputSchema\": \"{\\n\\\"type\\\": \\\"object\\\",\\n\\\"properties\\\": {\\n\\t\\\"positive_example\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"A string with a movie description matching the user's positive recommendation request\\\"\\n },\\n \\\"negative_example\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"A string with a movie description matching the user's negative anti-recommendation reuqest\\\"\\n }\\n}\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"ce55f334-698b-45b1-9e12-0eaa473187d4\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 5160,\n 1340\n ],\n \"parameters\": {},\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"41c1ee11-3117-4765-98fc-e56cc6fc8fb2\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 5640,\n 1600\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"db8d6ab6-8cd2-4a8c-993d-f1b7d7fdcffd\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 6540,\n 1500\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineAll\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"c7bc5e04-22b1-40db-ba74-1ab234e51375\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 7260,\n 1480\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"result\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a2002d2e-362a-49eb-a42d-7b665ddd67a0\",\n \"name\": \"Split Out1\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 7140,\n 1260\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"result.points\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f69a87f1-bfb9-4337-9350-28d2416c1580\",\n \"name\": \"Merge1\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 7520,\n 1400\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"fieldsToMatchString\": \"id\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"b2f2529e-e260-4d72-88ef-09b804226004\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 7960,\n 1400\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\",\n \"destinationFieldName\": \"response\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bedea10f-b4de-4f0e-9d60-cc8117a2b328\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 5140,\n 1140\n ],\n \"parameters\": {\n \"options\": {\n \"systemMessage\": \"You are a Movie Recommender Tool using a Vector Database under the hood. Provide top-3 movie recommendations returned by the database, ordered by their recommendation score, but not showing the score to the user.\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"e04276b5-7d69-437b-bf4f-9717808cc8f6\",\n \"name\": \"Embedding Recommendation Request with Open AI\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5900,\n 1460\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/embeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"input\",\n \"value\": \"={{ $json.query.positive_example }}\"\n },\n {\n \"name\": \"model\",\n \"value\": \"text-embedding-3-small\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer $OPENAI_API_KEY\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"68e99f06-82f5-432c-8b31-8a1ae34981a6\",\n \"name\": \"Embedding Anti-Recommendation Request with Open AI\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5920,\n 1660\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/embeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"input\",\n \"value\": \"={{ $json.query.negative_example }}\"\n },\n {\n \"name\": \"model\",\n \"value\": \"text-embedding-3-small\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer $OPENAI_API_KEY\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ecb1d7e1-b389-48e8-a34a-176bfc923641\",\n \"name\": \"Extracting Embedding\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 6180,\n 1460\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"01a28c9d-aeb1-48bb-8a73-f8bddbd73460\",\n \"name\": \"positive_example\",\n \"type\": \"array\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"4ed11142-a734-435f-9f7a-f59e2d423076\",\n \"name\": \"Extracting Embedding1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 6180,\n 1660\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"01a28c9d-aeb1-48bb-8a73-f8bddbd73460\",\n \"name\": \"negative_example\",\n \"type\": \"array\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ce3aa9bc-a5b1-4529-bff5-e0dba43b99f3\",\n \"name\": \"Calling Qdrant Recommendation API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 6840,\n 1500\n ],\n \"parameters\": {\n \"url\": \"https://edcc6735-2ffb-484f-b735-3467043828fe.europe-west3-0.gcp.cloud.qdrant.io:6333/collections/imdb_1000_open_ai/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"query\\\": {\\n \\\"recommend\\\": {\\n \\\"positive\\\": [[{{ $json.positive_example }}]],\\n \\\"negative\\\": [[{{ $json.negative_example }}]],\\n \\\"strategy\\\": \\\"average_vector\\\"\\n }\\n },\\n \\\"limit\\\":3\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"Zin08PA0RdXVUKK7\",\n \"name\": \"QdrantApi n8n demo\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9b8a6bdb-16fe-4edc-86d0-136fe059a777\",\n \"name\": \"Retrieving Recommended Movies Meta Data\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 7060,\n 1460\n ],\n \"parameters\": {\n \"url\": \"https://edcc6735-2ffb-484f-b735-3467043828fe.europe-west3-0.gcp.cloud.qdrant.io:6333/collections/imdb_1000_open_ai/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"ids\\\": [\\\"{{ $json.result.points[0].id }}\\\", \\\"{{ $json.result.points[1].id }}\\\", \\\"{{ $json.result.points[2].id }}\\\"],\\n \\\"with_payload\\\":true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"Zin08PA0RdXVUKK7\",\n \"name\": \"QdrantApi n8n demo\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"28cdcad5-3dca-48a1-b626-19eef657114c\",\n \"name\": \"Selecting Fields Relevant for Agent\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 7740,\n 1400\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"b4b520a5-d0e2-4dcb-af9d-0b7748fd44d6\",\n \"name\": \"movie_recommendation_score\",\n \"type\": \"number\",\n \"value\": \"={{ $json.score }}\"\n },\n {\n \"id\": \"c9f0982e-bd4e-484b-9eab-7e69e333f706\",\n \"name\": \"movie_description\",\n \"type\": \"string\",\n \"value\": \"={{ $json.payload.content }}\"\n },\n {\n \"id\": \"7c7baf11-89cd-4695-9f37-13eca7e01163\",\n \"name\": \"movie_name\",\n \"type\": \"string\",\n \"value\": \"={{ $json.payload.metadata.movie_name }}\"\n },\n {\n \"id\": \"1d1d269e-43c7-47b0-859b-268adf2dbc21\",\n \"name\": \"movie_release_year\",\n \"type\": \"string\",\n \"value\": \"={{ $json.payload.metadata.release_year }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"56e73f01-5557-460a-9a63-01357a1b456f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 5560,\n 1780\n ],\n \"parameters\": {\n \"content\": \"Tool, calling Qdrant's recommendation API based on user's request, transformed by AI agent\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cce5250e-0285-4fd0-857f-4b117151cd8b\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4680,\n 720\n ],\n \"parameters\": {\n \"content\": \"Uploading data (movies and their descriptions) to Qdrant Vector Store\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"negative_example\": \"horror bloody movie\",\n \"positive_example\": \"romantic comedy\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"40d3669b-d333-435f-99fc-db623deda2cb\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Calling Qdrant Recommendation API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"GitHub\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge1\": {\n \"main\": [\n [\n {\n \"node\": \"Selecting Fields Relevant for Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Merge1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Split Out1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Token Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract from File\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extracting Embedding\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extracting Embedding1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Call n8n Workflow Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Embedding Recommendation Request with Open AI\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Embedding Anti-Recommendation Request with Open AI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calling Qdrant Recommendation API\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieving Recommended Movies Meta Data\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Split Out1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"GitHub\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Selecting Fields Relevant for Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieving Recommended Movies Meta Data\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embedding Recommendation Request with Open AI\": {\n \"main\": [\n [\n {\n \"node\": \"Extracting Embedding\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embedding Anti-Recommendation Request with Open AI\": {\n \"main\": [\n [\n {\n \"node\": \"Extracting Embedding1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI", "node_count": 27, "category": "Data Processing"}}
{"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"FD0bHNaehP3LzCNN\",\n \"meta\": {\n \"instanceId\": \"69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d\"\n },\n \"name\": \"Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"362cb773-7540-4753-a401-e585cdf4af8a\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 0,\n 0\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"45470036-cae6-48d0-ac66-addc8999e776\",\n \"name\": \"HTTP Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 300,\n 0\n ],\n \"parameters\": {\n \"url\": \"https://raw.githubusercontent.com/github/rest-api-description/refs/heads/main/descriptions/api.github.com/api.github.com.json\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"a9e65897-52c9-4941-bf49-e1a659e442ef\",\n \"name\": \"Pinecone Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"position\": [\n 520,\n 0\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n-demo\",\n \"cachedResultName\": \"n8n-demo\"\n }\n },\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"bQTNry52ypGLqt47\",\n \"name\": \"PineconeApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c2a2354b-5457-4ceb-abfc-9a58e8593b81\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 660,\n 180\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7338d9ea-ae8f-46eb-807f-a15dc7639fc9\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 740,\n 360\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"44fd7a59-f208-4d5d-a22d-e9f8ca9badf1\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n -20,\n 760\n ],\n \"webhookId\": \"089e38ab-4eee-4c34-aa5d-54cf4a8f53b7\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"51d819d6-70ff-428d-aa56-1d7e06490dee\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 320,\n 760\n ],\n \"parameters\": {\n \"options\": {\n \"systemMessage\": \"You are a helpful assistant providing information about the GitHub API and how to use it based on the OpenAPI V3 specifications.\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"aed548bf-7083-44ad-a3e0-163dee7423ef\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 220,\n 980\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"dfe9f356-2225-4f4b-86c7-e56a230b4193\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 420,\n 1020\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"4cf672ee-13b8-4355-b8e0-c2e7381671bc\",\n \"name\": \"Vector Store Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"position\": [\n 580,\n 980\n ],\n \"parameters\": {\n \"name\": \"GitHub_OpenAPI_Specification\",\n \"description\": \"Use this tool to get information about the GitHub API. This database contains OpenAPI v3 specifications.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1df7fb85-9d4a-4db5-9bed-41d28e2e4643\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 840,\n 1160\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"7b52ef7a-5935-451e-8747-efe16ce288af\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -40,\n -260\n ],\n \"parameters\": {\n \"width\": 640,\n \"height\": 200,\n \"content\": \"## Indexing content in the vector database\\nThis part of the workflow is responsible for extracting content, generating embeddings and sending them to the Pinecone vector store.\\n\\nIt requests the OpenAPI specifications from GitHub using a HTTP request. Then, it splits the file in chunks, generating embeddings for each chunk using OpenAI, and saving them in Pinecone vector DB.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3508d602-56d4-4818-84eb-ca75cdeec1d0\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -20,\n 560\n ],\n \"parameters\": {\n \"width\": 580,\n \"content\": \"## Querying and response generation \\n\\nThis part of the workflow is responsible for the chat interface, querying the vector store and generating relevant responses.\\n\\nIt uses OpenAI GPT 4o-mini to generate responses.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5a9808ef-4edd-4ec9-ba01-2fe50b2dbf4b\",\n \"name\": \"Generate User Query Embedding\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 480,\n 1400\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"f703dc8e-9d4b-45e3-8994-789b3dfe8631\",\n \"name\": \"Pinecone Vector Store (Querying)\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"position\": [\n 440,\n 1220\n ],\n \"parameters\": {\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n-demo\",\n \"cachedResultName\": \"n8n-demo\"\n }\n },\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"bQTNry52ypGLqt47\",\n \"name\": \"PineconeApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ea64a7a5-1fa5-4938-83a9-271929733a8e\",\n \"name\": \"Generate Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 480,\n 220\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"65cbd4e3-91f6-441a-9ef1-528c3019e238\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -820,\n -260\n ],\n \"parameters\": {\n \"width\": 620,\n \"height\": 320,\n \"content\": \"## RAG workflow in n8n\\n\\nThis is an example of how to use RAG techniques to create a chatbot with n8n. It is an API documentation chatbot that can answer questions about the GitHub API. It uses OpenAI for generating embeddings, the gpt-4o-mini LLM for generating responses and Pinecone as a vector database.\\n\\n### Before using this template\\n* create OpenAI and Pinecone accounts\\n* obtain API keys OpenAI and Pinecone \\n* configure credentials in n8n for both\\n* ensure you have a Pinecone index named \\\"n8n-demo\\\" or adjust the workflow accordingly.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"2908105f-c20c-4183-bb9d-26e3559b9911\",\n \"connections\": {\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate User Query Embedding\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store (Querying)\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Vector Store (Querying)\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)", "node_count": 17, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for google analytics: weekly report", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 14\n- Node Types: n8n-nodes-base.emailSend, n8n-nodes-base.set, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.toolCalculator, n8n-nodes-base.googleAnalytics, n8n-nodes-base.code, n8n-nodes-base.summarize\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n4. **Actions**: n8n-nodes-base.emailSend\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"AAjX1BuwhyXpo8xP\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"name\": \"Google Analytics: Weekly Report\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"91ba5982-e226-4f0b-af0d-8c9a44b08279\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -1740,\n 300\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 1\n ],\n \"triggerAtHour\": 7\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"62c38eaf-2222-4d22-8589-677f36bce10d\",\n \"name\": \"Google Analytics Letzte 7 Tage\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n -1540,\n 300\n ],\n \"parameters\": {\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"listName\": \"screenPageViews\"\n },\n {},\n {\n \"listName\": \"sessions\"\n },\n {\n \"listName\": \"sessionsPerUser\"\n },\n {\n \"name\": \"averageSessionDuration\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"ecommercePurchases\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"averagePurchaseRevenue\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"purchaseRevenue\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"345060083\",\n \"cachedResultUrl\": \"https://analytics.google.com/analytics/web/#/p345060083/\",\n \"cachedResultName\": \"https://www.ep-reisen.de – GA4\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {}\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"onRKXREI8izfGzv0\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"0a51c2f3-a487-4226-884f-63d4cb2bf4e4\",\n \"name\": \"Send Email\",\n \"type\": \"n8n-nodes-base.emailSend\",\n \"position\": [\n 420,\n 80\n ],\n \"parameters\": {\n \"html\": \"={{ $json.message.content }}\",\n \"options\": {},\n \"subject\": \"Weekly Report: Google Analytics: Last 7 days\",\n \"toEmail\": \"friedemann.schuetz@ep-reisen.de\",\n \"fromEmail\": \"friedemann.schuetz@posteo.de\"\n },\n \"credentials\": {\n \"smtp\": {\n \"id\": \"A71x7hx6lKj7nxp1\",\n \"name\": \"SMTP account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"04963783-f455-4983-afea-e94b316d8532\",\n \"name\": \"Telegram\",\n \"type\": \"n8n-nodes-base.telegram\",\n \"position\": [\n 420,\n 420\n ],\n \"parameters\": {\n \"text\": \"={{ $json.message.content }}\",\n \"chatId\": \"1810565648\",\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"telegramApi\": {\n \"id\": \"0hnyvxyUMN77sBmU\",\n \"name\": \"Telegram account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"3b6b4902-15b3-4bbc-8427-c35471a7431b\",\n \"name\": \"Processing for Telegram\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 60,\n 420\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Convert the following text from HTML to normal text:\\n\\n{{ $json.message.content }}\\n\\nPlease format the table so that each metric is a separate paragraph!\\n\\nExample:\\n\\nTotal views: xx.xxx\\nTotal views previous year: xx,xxx\\nDifference: x.xx %\\n\\nTotal users: xx,xxx\\nTotal users previous year: xx,xxx\\nDifference: -x.xx %\"\n }\n ]\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"niikB3HA4fT5WAqt\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"d761980c-0327-4d4e-92aa-d0342b2e249e\",\n \"name\": \"Calculator\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCalculator\",\n \"position\": [\n 140,\n 300\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"ce7ba356-80bb-4b17-9445-fb535267cdf0\",\n \"name\": \"Google Analytics: Past 7 days of the previous year\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n -600,\n 300\n ],\n \"parameters\": {\n \"endDate\": \"={{ $json.endDate }}\",\n \"dateRange\": \"custom\",\n \"startDate\": \"={{ $json.startDate }}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"listName\": \"screenPageViews\"\n },\n {},\n {\n \"listName\": \"sessions\"\n },\n {\n \"listName\": \"sessionsPerUser\"\n },\n {\n \"name\": \"averageSessionDuration\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"ecommercePurchases\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"averagePurchaseRevenue\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"purchaseRevenue\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"345060083\",\n \"cachedResultUrl\": \"https://analytics.google.com/analytics/web/#/p345060083/\",\n \"cachedResultName\": \"https://www.ep-reisen.de – GA4\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {}\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"onRKXREI8izfGzv0\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"d2062aaa-e41b-4405-8470-9e7b4cd77245\",\n \"name\": \"Summarize Data\",\n \"type\": \"n8n-nodes-base.summarize\",\n \"position\": [\n -1080,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldsToSummarize\": {\n \"values\": [\n {\n \"field\": \"Aufrufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Nutzer\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen pro Nutzer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Sitzungsdauer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Käufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Revenue pro Kauf\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Revenue\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"date\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d1f48d36-9f27-4cda-af53-e6d430d1a8db\",\n \"name\": \"Summarize Data1\",\n \"type\": \"n8n-nodes-base.summarize\",\n \"position\": [\n -220,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldsToSummarize\": {\n \"values\": [\n {\n \"field\": \"Aufrufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Nutzer\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen pro Nutzer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Sitzungsdauer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Käufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Revenue pro Kauf\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Revenue\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"date\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5b6a0644-3839-4a62-8ff3-bf866aa4568c\",\n \"name\": \"Calculation same period previous year\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -840,\n 300\n ],\n \"parameters\": {\n \"jsCode\": \"return {\\n // Berechnung des Startdatums: Vorjahr, gleiche Woche, 7 Tage zurück\\n startDate: (() => {\\n const date = new Date();\\n date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahr\\n date.setDate(date.getDate() - 7); // 7 Tage zurück\\n return date.toISOString().split('T')[0];\\n })(),\\n \\n // Berechnung des Enddatums: Vorjahr, heutiges Datum\\n endDate: (() => {\\n const date = new Date();\\n date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahr\\n return date.toISOString().split('T')[0];\\n })(),\\n};\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ab813532-cbe6-4c41-b20b-7efaa1ae4389\",\n \"name\": \"Assign data\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -1300,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae\",\n \"name\": \"Aufrufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.screenPageViews }}\"\n },\n {\n \"id\": \"8b524518-1268-4971-b5c9-ae7da09d94f9\",\n \"name\": \"Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.totalUsers }}\"\n },\n {\n \"id\": \"ca7279b9-c643-425f-aa99-cb17146e9994\",\n \"name\": \"Sitzungen\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessions }}\"\n },\n {\n \"id\": \"591288f7-e8cf-445e-872a-5b83f997b825\",\n \"name\": \"Sitzungen pro Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessionsPerUser }}\"\n },\n {\n \"id\": \"dc1a43da-3f3a-4dca-bbde-904222d7f693\",\n \"name\": \"Sitzungsdauer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averageSessionDuration }}\"\n },\n {\n \"id\": \"eac0b53e-c452-40b8-92bc-8af8ea349984\",\n \"name\": \"=Käufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.ecommercePurchases }}\"\n },\n {\n \"id\": \"b96439be-189d-4ebe-b49e-d5c31fefe9f0\",\n \"name\": \"Revenue pro Kauf\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averagePurchaseRevenue }}\"\n },\n {\n \"id\": \"94835d43-2fc8-49c0-97f0-6f0f8699337a\",\n \"name\": \"Revenue\",\n \"type\": \"number\",\n \"value\": \"={{ $json.purchaseRevenue }}\"\n },\n {\n \"id\": \"d70f8138-3b84-4b88-a98f-eb929e1cc29a\",\n \"name\": \"date\",\n \"type\": \"string\",\n \"value\": \"={{ $json.date }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"2454fe8a-005d-46dc-ae22-1044c1b793b7\",\n \"name\": \"Assign data1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -400,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae\",\n \"name\": \"Aufrufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.screenPageViews }}\"\n },\n {\n \"id\": \"8b524518-1268-4971-b5c9-ae7da09d94f9\",\n \"name\": \"Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.totalUsers }}\"\n },\n {\n \"id\": \"ca7279b9-c643-425f-aa99-cb17146e9994\",\n \"name\": \"Sitzungen\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessions }}\"\n },\n {\n \"id\": \"591288f7-e8cf-445e-872a-5b83f997b825\",\n \"name\": \"Sitzungen pro Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessionsPerUser }}\"\n },\n {\n \"id\": \"dc1a43da-3f3a-4dca-bbde-904222d7f693\",\n \"name\": \"Sitzungsdauer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averageSessionDuration }}\"\n },\n {\n \"id\": \"eac0b53e-c452-40b8-92bc-8af8ea349984\",\n \"name\": \"=Käufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.ecommercePurchases }}\"\n },\n {\n \"id\": \"b96439be-189d-4ebe-b49e-d5c31fefe9f0\",\n \"name\": \"Revenue pro Kauf\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averagePurchaseRevenue }}\"\n },\n {\n \"id\": \"94835d43-2fc8-49c0-97f0-6f0f8699337a\",\n \"name\": \"Revenue\",\n \"type\": \"number\",\n \"value\": \"={{ $json.purchaseRevenue }}\"\n },\n {\n \"id\": \"dd8255c6-65b1-41ce-b596-70c09108d6e2\",\n \"name\": \"=date\",\n \"type\": \"string\",\n \"value\": \"={{ $json.date }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"0a48cbb0-3d4c-4ac8-8dba-08213f7fc430\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2220,\n 80\n ],\n \"parameters\": {\n \"width\": 440,\n \"height\": 560,\n \"content\": \"Welcome to my Google Analytics Weekly Report Workflow!\\n\\nThis workflow has the following sequence:\\n\\n1. time trigger (e.g. every Monday at 7 a.m.)\\n2. retrieval of Google Analytics data from the last 7 days\\n3. assignment and summary of the data\\n4. retrieval of Google Analytics data from the last 7 days of the previous year\\n5. allocation and summary of the data\\n6. preparation in tabular form and brief analysis by AI.\\n7. sending the report as an email\\n8. preparation in short form by AI for Telegram (optional)\\n9. sending as Telegram message.\\n\\nThe following accesses are required for the workflow:\\n- Google Analytics (via Google Analytics API): https://docs.n8n.io/integrations/builtin/credentials/google/\\n- AI API access (e.g. via OpenAI, Anthropic, Google or Ollama)\\n- SMTP access data (for sending the mail)\\n- Telegram access data (optional for sending as Telegram message): https://docs.n8n.io/integrations/builtin/credentials/telegram/\\n\\nYou can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c87bc648-8fe8-4cec-84d4-2742060f9c53\",\n \"name\": \"Processing for email\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 60,\n 80\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Please analyze the following data and output the results in tabular form:\\n\\n| Metrics | Last 7 days | Previous year | Percentage change |\\n|-------------------------------|---------------|---------|\\n| Total page views | {{ $('Summarize Data').item.json.sum_Aufrufe }} | {{ $('Summarize Data1').item.json.sum_Aufrufe }} | Percentage change |\\n| total users | {{ $('Summarize Data').item.json.sum_Nutzer }} | {{ $('Summarize Data1').item.json.sum_Nutzer }} | Percentage change |\\n| Total sessions | {{ $('Summarize Data').item.json.sum_Sitzungen }} | {{ $('Summarize Data1').item.json.sum_Sitzungen }} | Percentage change |\\n| Average sessions/user | {{ $('Summarize Data').item.json.average_Sitzungen_pro_Nutzer }} | {{ $('Summarize Data1').item.json.average_Sitzungen_pro_Nutzer }} | Percentage change |\\n| Average session duration | {{ $('Summarize Data').item.json.average_Sitzungsdauer }} | {{ $('Summarize Data1').item.json.average_Sitzungsdauer }} | Percentage change |\\n| Total purchases | {{ $('Summarize Data').item.json['sum_Käufe'] }} | {{ $('Summarize Data1').item.json['sum_Käufe'] }} | Percentage change |\\n| Average revenue/purchase | {{ $('Summarize Data').item.json.average_Revenue_pro_Kauf }} | {{ $('Summarize Data1').item.json.average_Revenue_pro_Kauf }} | Percentage change |\\n| Total revenue | {{ $('Summarize Data').item.json.sum_Revenue }} | {{ $('Summarize Data1').item.json.sum_Revenue }} | Percentage change |\\n\\nFormat for numbers:\\n- Dot (.) for numbers in thousands (e.g. 4,000)\\n- Comma (,) for decimal numbers (e.g. 3.4)\\n- Conversion of average session duration in minutes instead of seconds\\n- Average turnover/purchase and total turnover in €\\n\\nPlease write a short summary of the analyzed data above the table (in a maximum of 3 sentences!)\\n\\nPlease format to a sleek and modern HTML format so that the result can be sent as HTML mail!\\n\\nStructure of the e-mail:\\n\\n“Hello! Here is the Weekly Report: Google Analytics of the last 7 days!\\n[Summary]\\n[Table]”\"\n }\n ]\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"niikB3HA4fT5WAqt\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.7\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"556c3292-0d40-4c75-8037-90bacf1b2ccb\",\n \"connections\": {\n \"Telegram\": {\n \"main\": [\n []\n ]\n },\n \"Calculator\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Processing for email\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Assign data\": {\n \"main\": [\n [\n {\n \"node\": \"Summarize Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Assign data1\": {\n \"main\": [\n [\n {\n \"node\": \"Summarize Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarize Data\": {\n \"main\": [\n [\n {\n \"node\": \"Calculation same period previous year\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarize Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Processing for email\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Google Analytics Letzte 7 Tage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Processing for email\": {\n \"main\": [\n [\n {\n \"node\": \"Send Email\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Processing for Telegram\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Processing for Telegram\": {\n \"main\": [\n [\n {\n \"node\": \"Telegram\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Analytics Letzte 7 Tage\": {\n \"main\": [\n [\n {\n \"node\": \"Assign data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calculation same period previous year\": {\n \"main\": [\n [\n {\n \"node\": \"Google Analytics: Past 7 days of the previous year\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Analytics: Past 7 days of the previous year\": {\n \"main\": [\n [\n {\n \"node\": \"Assign data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Google Analytics: Weekly Report", "node_count": 14, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to customer insights with qdrant, python and information extractor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 37\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreQdrant, n8n-nodes-base.executeWorkflowTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, n8n-nodes-base.executeWorkflow, n8n-nodes-base.html, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"63501cc8-77c9-4037-9f70-da23b6d20b03\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 280,\n 440\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"00de989c-d9e9-4b42-b5db-7097800a6017\",\n \"name\": \"Zip Entries\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1380,\n 360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"833a554d-2b39-4160-9348-18b17b28ce30\",\n \"name\": \"data\",\n \"type\": \"array\",\n \"value\": \"={{ \\n $json.review_author.map((review_author, idx) => ({\\n review_author,\\n review_author_reviews_count: $json.review_author_reviews_count[idx].replace(' reviews', '').toInt(),\\n review_country: $json.review_country[idx],\\n review_date: $json.review_date[idx].toDate(),\\n review_date_of_experience: $json.review_date_of_experience[idx].replace('Date of experience: ', '').toDate(),\\n review_rating: $json.review_rating[idx].toInt(),\\n review_text: $json.review_text[idx],\\n review_title: $json.review_title[idx],\\n review_url: $('Get TrustPilot Page').params.url.match(/https:\\\\/\\\\/[^/]+/) + $json.review_url[idx],\\n }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9290e116-c001-49d5-ae4c-d91cd246f2c2\",\n \"name\": \"Extract Reviews\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1140,\n 520\n ],\n \"parameters\": {\n \"options\": {\n \"trimValues\": true\n },\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"review_author\",\n \"cssSelector\": \"[data-service-review-card-paper] [data-consumer-name-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_rating\",\n \"attribute\": \"data-service-review-rating\",\n \"cssSelector\": \"[data-service-review-rating]\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n },\n {\n \"key\": \"review_title\",\n \"cssSelector\": \"[data-service-review-title-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_text\",\n \"cssSelector\": \"[data-service-review-text-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_date_of_experience\",\n \"cssSelector\": \"[data-service-review-date-of-experience-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_date\",\n \"attribute\": \"datetime\",\n \"cssSelector\": \"[data-service-review-date-time-ago]\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n },\n {\n \"key\": \"review_country\",\n \"cssSelector\": \"[data-consumer-country-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_author_reviews_count\",\n \"cssSelector\": \"[data-consumer-reviews-count-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_url\",\n \"attribute\": \"href\",\n \"cssSelector\": \"a[data-review-title-typography]\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"4aa3e50d-fcce-48a7-8237-c12f8592f69e\",\n \"name\": \"Reviews to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1380,\n 520\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a6b9abf9-a17a-4f30-9f90-6183770c4933\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1980,\n 520\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"review_author\",\n \"value\": \"={{ $json.review_author }}\"\n },\n {\n \"name\": \"review_author_reviews_count\",\n \"value\": \"={{ $json.review_author_reviews_count }}\"\n },\n {\n \"name\": \"review_country\",\n \"value\": \"={{ $json.review_country }}\"\n },\n {\n \"name\": \"review_date\",\n \"value\": \"={{ $json.review_date }}\"\n },\n {\n \"name\": \"review_date_of_experience\",\n \"value\": \"={{ $json.review_date_of_experience }}\"\n },\n {\n \"name\": \"review_rating\",\n \"value\": \"={{ $json.review_rating }}\"\n },\n {\n \"name\": \"review_date_month\",\n \"value\": \"={{ $json.review_date.toDateTime().format('M') }}\"\n },\n {\n \"name\": \"review_date_year\",\n \"value\": \"={{ $json.review_date.toDateTime().format('yyyy') }}\"\n },\n {\n \"name\": \"review_date_of_experience_month\",\n \"value\": \"={{ $json.review_date_of_experience.toDateTime().format('M') }}\"\n },\n {\n \"name\": \"review_date_of_experience_year\",\n \"value\": \"={{ $json.review_date_of_experience.toDateTime().format('yyyy') }}\"\n },\n {\n \"name\": \"company_id\",\n \"value\": \"={{ $('Set Variables').item.json.companyId }}\"\n },\n {\n \"name\": \"review_url\",\n \"value\": \"={{ $json.review_url }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.review_title }}\\n{{ $json.review_text }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afd8907c-9a59-4dcc-94c5-2114fb2a7d5d\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1980,\n 660\n ],\n \"parameters\": {\n \"options\": {},\n \"chunkSize\": 4000\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e22d92b8-e8e9-42aa-9d02-2e70234f11ed\",\n \"name\": \"Embeddings OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 1860,\n 520\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f0ea6b63-c96d-4b3f-8a21-d0f2dbb4efc3\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 520,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2e58a9fa-a14d-4a6c-8cc8-8ec947c791fb\",\n \"name\": \"companyId\",\n \"type\": \"string\",\n \"value\": \"www.freddiesflowers.com\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"0188986f-fbe9-4c06-892a-3cb71b52a309\",\n \"name\": \"Get Payload of Points\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1740,\n 1120\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/trustpilot_reviews/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n {\\n \\\"ids\\\": $json.points,\\n \\\"with_payload\\\": true\\n }\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5fc6e0b6-507f-4cfd-951b-be3709b86ac2\",\n \"name\": \"Clusters To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1480,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f21369b9-1dd5-4b35-a1f3-00fd67794051\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2140,\n 1340\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b0075699-6513-4781-b5de-81d1ab81dfe1\",\n \"name\": \"Only Clusters With 3+ points\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1480,\n 1300\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"328f806c-0792-4d90-9bee-a1e10049e78f\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"lengthGt\",\n \"rightType\": \"number\"\n },\n \"leftValue\": \"={{ $json.points }}\",\n \"rightValue\": 2\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f6a6209c-d269-4238-8e92-230df7b41df9\",\n \"name\": \"Set Variables1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 519,\n 1220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2e58a9fa-a14d-4a6c-8cc8-8ec947c791fb\",\n \"name\": \"companyId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.companyId }}\"\n },\n {\n \"id\": \"37cf8af2-6f0f-40b1-b822-c9bd6a620a3c\",\n \"name\": \"review_date_from\",\n \"type\": \"string\",\n \"value\": \"={{ $today.startOf('month').toISO() }}\"\n },\n {\n \"id\": \"8d72f739-f832-4c25-b62a-2ae70ad2b1e7\",\n \"name\": \"review_date_to\",\n \"type\": \"string\",\n \"value\": \"={{ $today.endOf('month').toISO() }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"85cb48b1-0ab9-4f88-88f3-82fcfb041ebe\",\n \"name\": \"Find Reviews\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 896,\n 1160\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/trustpilot_reviews/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"limit\\\": 500,\\n \\\"filter\\\":{\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.company_id\\\",\\n \\\"match\\\": { \\\"value\\\": \\\"{{ $('Set Variables1').item.json.companyId }}\\\" }\\n },\\n {\\n \\\"key\\\": \\\"metadata.review_date\\\",\\n \\\"range\\\": {\\n \\\"gte\\\": \\\"{{ $('Set Variables1').item.json.review_date_from }}\\\",\\n \\\"gt\\\": null,\\n \\\"lt\\\": null,\\n \\\"lte\\\": \\\"{{ $('Set Variables1').item.json.review_date_to }}\\\"\\n }\\n }\\n ]\\n },\\n \\\"with_vector\\\":true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"69bbd197-c78f-4dae-9300-fe23d4d49855\",\n \"name\": \"Prep Output For Export\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2720,\n 1203\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={{ {\\n ...$json.output,\\n \\\"CompanyID\\\": $('Set Variables1').item.json.companyId,\\n \\\"From\\\": $('Set Variables1').item.json.review_date_from,\\n \\\"To\\\": $('Set Variables1').item.json.review_date_to,\\n \\\"Number of Responses\\\": $('Get Payload of Points').item.json.result.length,\\n \\\"Raw Responses\\\": $('Get Payload of Points').item.json.result.map(item =>\\n [\\n item.payload.metadata.review_date,\\n item.payload.metadata.review_author,\\n item.payload.metadata.review_rating,\\n item.payload.content.replaceAll('\\\"', '\\\\\\\"').replaceAll('\\\\n', ' '),\\n item.payload.metadata.review_url,\\n ]\\n ).join('\\\\n')\\n} }}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d77daa23-6acf-4daa-bf4c-33da4d05a54c\",\n \"name\": \"Export To Sheets\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 2940,\n 1203\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {},\n \"schema\": [\n {\n \"id\": \"CompanyID\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"CompanyID\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"From\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"From\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"To\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"To\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Insight\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Insight\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Sentiment\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Sentiment\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Suggested Improvements\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Suggested Improvements\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Number of Responses\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Number of Responses\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Raw Responses\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Raw Responses\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"autoMapInputData\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"append\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"=Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"=1wAwWCcIZod00IGtxwTbTgjIRbKHu3Yl9wYWJ8GeT2Os\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"1f60c3a5-a47a-4313-9b29-8ea652d573f7\",\n \"name\": \"Clear Existing Reviews\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 760,\n 440\n ],\n \"parameters\": {\n \"url\": \"http://qdrant:6333/collections/trustpilot_reviews/points/delete\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.company_id\\\",\\n \\\"match\\\": {\\n \\\"value\\\": \\\"{{ $('Set Variables').item.json.companyId }}\\\"\\n }\\n }\\n ]\\n }\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"61c3117c-757c-45dd-b9d5-1122b793be30\",\n \"name\": \"Trigger Insights\",\n \"type\": \"n8n-nodes-base.executeWorkflow\",\n \"position\": [\n 2660,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"workflowId\": \"={{ $workflow.id }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d3c6e81f-34bb-4be9-b869-2c219b87c4fb\",\n \"name\": \"Prep Values For Trigger\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2460,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"24dd90ad-390f-444e-ba6c-8c06a41e836e\",\n \"name\": \"companyId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Set Variables').item.json.companyId }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"64af9cc7-a194-4427-ba78-d9a1136b962f\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 316,\n 1220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b6ba502-36c2-41e6-9d67-781d0d40a569\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 186.9455564469605,\n 263.2301011325764\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 787.3314861380661,\n \"height\": 465.52420584035275,\n \"content\": \"## Step 1. Starting Fresh\\nFor this demo, we'll clear any existing records in our Qdrant vector store for the selected company. We do this using the Qdrant's delete points API.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a99389d4-8ea6-4379-b725-f30e92b0d29e\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1006.3778510483207,\n 148.50042906971555\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 638.5221986278162,\n \"height\": 580.2538779032135,\n \"content\": \"## Step 2. Scraping TrustPilot For Company Reviews\\n[Read more about HTTP Request Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\\n\\nWe'll scrape at the most recent 3 pages of reviews for illustrative purposes but we could easily scrape them all if required. The HTML node offers a convenient way to extract data from the returned html pages and using it, we'll retrieve all the reviews data.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"139ccadd-9135-4681-b2eb-403b8d8bd710\",\n \"name\": \"Get TrustPilot Page\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1140,\n 360\n ],\n \"parameters\": {\n \"url\": \"=https://uk.trustpilot.com/review/{{ $('Set Variables').item.json.companyId }}?sort=recency\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"page\",\n \"value\": \"={{ $pageCount + 1 }}\"\n }\n ]\n },\n \"maxRequests\": 3,\n \"limitPagesFetched\": true\n }\n }\n }\n },\n \"executeOnce\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1c71db65-713b-4c31-9c11-5ff678fb327a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1680,\n 140\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 638.5221986278162,\n \"height\": 689.8000993522735,\n \"content\": \"## Step 3. Store Reviews in Qdrant\\n[Learn more about the Qdrant Vector Store](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/)\\n\\nVector databases are a great way to store data if you're interested in perform similiarity searches which applies here as we want to group similar reviews to find patterns. Qdrant is a powerful vector database and tool of choice because of its robust API implementation and advanced filtering capabilities.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a4f82a1b-5a76-46b6-a7a3-84ab09b46699\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1860,\n 360\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"=trustpilot_reviews\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cbad9e73-c5b3-474c-95ef-7269addc4e62\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 216,\n 1000\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 543.4265511994403,\n \"height\": 453.31956386852846,\n \"content\": \"## Step 5. The Insight Subworkflow\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflowtrigger)\\n\\nThis subworkflow takes the companyId to find the relevant records in our Qdrant vector store. It also takes a \\\"from\\\" and \\\"to\\\" date to scope the insights to a particular range - doing this we can say something like \\\"we only want insights for the past month of reviews\\\". \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9c530716-63f4-4368-8d0e-0cdbe8f5b08e\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 780,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 557.7420442679241,\n \"height\": 526.2781960611934,\n \"content\": \"## Step 6. Apply Clustering Algorithm to Reviews\\n[Read more about using Python in n8n](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\\n\\nWe'll retrieve our vectors embeddings for the desired company reviews and perform an advanced clustering algorithm on them. This powerful echnique allows us to quickly group similar embeddings into clusters which we can then use to discover popular feedback, opinions and pain-points!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9790b3a5-cc7c-4e12-8038-fc661c8226f8\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1360,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 598.5585287222906,\n \"height\": 605.9905193915599,\n \"content\": \"## Step 7. Fetch Reviews By Cluster\\n[Learn more about using the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/)\\n\\nWith the Qdrant point IDs grouped and returned by our code node, all that's left is to fetch the payload of each. Note that the clustering algorithm isn't perfect and may require some tweaking depending on your data.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"267057b6-9727-4a45-9d87-5429da42f48e\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1980,\n 969\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 587.6069484146701,\n \"height\": 552.9535170892194,\n \"content\": \"## Step 8. Getting Insights from Grouped Reviews\\n[Read more about using Information Extractor Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor)\\n\\nNext, we'll use our state-of-the-art LLM to generate insights on our reviews. Doing it this way, we'll able to pull more granular results addressing many key topics within the reviews.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b8cc07d0-ffa3-425f-ae74-76dcb68fa88f\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2600,\n 980\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 572.5638733479158,\n \"height\": 464.4019616956416,\n \"content\": \"## Step 9. Write To Insights Sheet\\nFinally, our completed insights to appended to the Insights Sheet we created earlier in the workflow.\\n\\nYou can find a sample sheet here: https://docs.google.com/spreadsheets/d/e/2PACX-1vQ6ipJnXWXgr5wlUJnhioNpeYrxaIpsRYZCwN3C-fFXumkbh9TAsA_JzE0kbv7DcGAVIP7az0L46_2P/pubhtml\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0dac0854-7106-44e3-bd68-fad7b201a6bc\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2340,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 519.6419932444072,\n \"height\": 429.11782776909047,\n \"content\": \"## Step 4. Trigger Insights SubWorkflow\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflow)\\n\\nA subworkflow is used to trigger the analysis for the survey. This separation is optional but used here to better demonstrate the two part process.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4aa7e73e-c29d-41df-b2f8-a62109285ccb\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 380\n ],\n \"parameters\": {\n \"width\": 226.36363118160727,\n \"height\": 327.0249036433755,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 Set company here!\\nTrustpilot must recognise it as part of the url.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d895cf9-452c-401e-a6f3-b9d3a359a96d\",\n \"name\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1116,\n 1160\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"import numpy as np\\nfrom sklearn.cluster import KMeans\\n\\n# get vectors for all answers\\npoint_ids = [item.id for item in _input.first().json.result.points]\\nvectors = [item.vector.to_py() for item in _input.first().json.result.points]\\nvectors_array = np.array(vectors)\\n\\n# apply k-means clustering where n_clusters = 5\\n# this is a max and we'll discard some of these clusters later\\nkmeans = KMeans(n_clusters=min(len(vectors), 5), random_state=42).fit(vectors_array)\\nlabels = kmeans.labels_\\nunique_labels = set(labels)\\n\\n# Extract and print points in each cluster\\nclusters = {}\\nfor label in set(labels):\\n clusters[label] = vectors_array[labels == label]\\n\\n# return Qdrant point ids for each cluster\\n# we'll use these ids to fetch the payloads from the vector store.\\noutput = []\\nfor cluster_id, cluster_points in clusters.items():\\n points = [point_ids[i] for i in range(len(labels)) if labels[i] == cluster_id]\\n output.append({\\n \\\"id\\\": f\\\"Cluster {cluster_id}\\\",\\n \\\"total\\\": len(cluster_points),\\n \\\"points\\\": points\\n })\\n\\nreturn {\\\"json\\\": {\\\"output\\\": output } }\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"95c57019-d9d7-4d9f-93dd-21d3d9708861\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -260,\n 40\n ],\n \"parameters\": {\n \"width\": 400.381109509268,\n \"height\": 612.855812336249,\n \"content\": \"## Try It Out!\\n\\n### This workflow generates highly-detailed customer insights from Trustpilot reviews. Works best when dealing with a large number of reviews.\\n\\n* Import Trustpilot reviews and vectorise in Qdrant vectorstore.\\n* Identify clusters of popular topics in reviews using K-means clustering algorithm. \\n* Each valid cluster is analysed and summarised by LLM.\\n* Export LLM response and cluster results back into sheet.\\n\\nCheck out the reference google sheet here: https://docs.google.com/spreadsheets/d/e/2PACX-1vQ6ipJnXWXgr5wlUJnhioNpeYrxaIpsRYZCwN3C-fFXumkbh9TAsA_JzE0kbv7DcGAVIP7az0L46_2P/pubhtml\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9bba9480-792e-48e3-ad9f-8809ce3aba09\",\n \"name\": \"Customer Insights Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2140,\n 1180\n ],\n \"parameters\": {\n \"text\": \"=The {{ $json.result.length }} reviews were:\\n{{\\n$json.result.map(item =>\\n`* ${item.payload.metadata.review_author} gave ${item.payload.metadata.review_rating} stars: \\\"${item.payload.content.replaceAll('\\\"', '\\\\\\\"').replaceAll('\\\\n', ' ')}\\\"`\\n).join('\\\\n')\\n}}\",\n \"options\": {\n \"systemPromptTemplate\": \"=You help summarise a selection of trustpilot reviews for a company called \\\"{{ $json.result[0].payload.metadata.company_id }}\\\".\\nThe {{ $json.result.length }} reviews were selected because their contents were similar in context.\\n\\nYour task is to: \\n* summarise the given reviews into a short paragraph. Provide an insight from this summary and what we could learn from the reviews.\\n* determine if the overall sentiment of all the listed responses to be either strongly negative, negative, neutral, positive or strongly positive.\"\n },\n \"schemaType\": \"fromJson\",\n \"jsonSchemaExample\": \"{\\n\\t\\\"Insight\\\": \\\"\\\",\\n \\\"Sentiment\\\": \\\"\\\",\\n \\\"Suggested Improvements\\\": \\\"\\\"\\n}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4488deb9-27f6-4f9d-b17e-9b5e7a1bba33\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 180,\n 760\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 80,\n \"content\": \"### Run this once! \\nIf for any reason you need to run more than once, be sure to clear the existing data first.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5cb3bd73-1e77-4eba-9d2e-634fdc374330\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 780,\n 1480\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 110.05160146874424,\n \"content\": \"### First Time Running?\\nThere is a slight delay on first run because the code node has to download the required packages.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Zip Entries\": {\n \"main\": [\n [\n {\n \"node\": \"Reviews to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Find Reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Clear Existing Reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables1\": {\n \"main\": [\n [\n {\n \"node\": \"Find Reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Zip Entries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Reviews to List\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clusters To List\": {\n \"main\": [\n [\n {\n \"node\": \"Only Clusters With 3+ points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Customer Insights Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get TrustPilot Page\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Values For Trigger\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Payload of Points\": {\n \"main\": [\n [\n {\n \"node\": \"Customer Insights Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clear Existing Reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Get TrustPilot Page\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Output For Export\": {\n \"main\": [\n [\n {\n \"node\": \"Export To Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Customer Insights Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Output For Export\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Values For Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Trigger Insights\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only Clusters With 3+ points\": {\n \"main\": [\n [\n {\n \"node\": \"Get Payload of Points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Apply K-means Clustering Algorithm\": {\n \"main\": [\n [\n {\n \"node\": \"Clusters To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Customer Insights with Qdrant, Python and Information Extractor", "node_count": 37, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Deduplicate Scraping Ai Grants For Eligibility Using Ai", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 24\n- Node Types: n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.html, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.gmail, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.informationExtractor, n8n-nodes-base.airtable, n8n-nodes-base.removeDuplicates\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"c17e444e-0a5e-4bfe-8de6-c3185de4465d\",\n \"name\": \"Grants to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n -240,\n -180\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"oppHits\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9251d39c-6098-42fa-aadd-3a22464dee64\",\n \"name\": \"Get Grant Details\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 280,\n -280\n ],\n \"parameters\": {\n \"url\": \"https://apply07.grants.gov/grantsws/rest/opportunity/details\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"contentType\": \"form-urlencoded\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"oppId\",\n \"value\": \"={{ $json.id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ade994d6-a1f8-45bf-a82e-83eb38da08d6\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 440,\n -120\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d81b20e-0038-48d3-840c-3fcf8b798a0d\",\n \"name\": \"Summarize Synopsis\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 460,\n -280\n ],\n \"parameters\": {\n \"text\": \"=Agency: {{ $json.synopsis.agencyName }}\\nTitle: {{ $json.opportunityTitle }}\\nSynopsis: {{ $json.synopsis.synopsisDesc }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You've been given a grant opportunity listing. Help summarize the opportunity in simple terms.\"\n },\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n\\t\\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n \\\"goal\\\": { \\\"type\\\": [\\\"string\\\", \\\"null\\\"] },\\n \\\"duration\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"success_criteria\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" }\\n },\\n \\\"good_to_know\\\": {\\n\\t\\t \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n\\t}\\n}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"71e1a2e9-6690-4247-aae3-f5bd61019553\",\n \"name\": \"Eligibility Factors\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 640,\n -120\n ],\n \"parameters\": {\n \"text\": \"=Agency: {{ $json.synopsis.agencyName }}\\nTitle: {{ $json.opportunityTitle }}\\nSynopsis: {{ $json.synopsis.synopsisDesc }}\\nEligibility: {{ $json.synopsis.applicantEligibilityDesc }}\",\n \"options\": {\n \"systemPromptTemplate\": \"Help determine if we are eligible for this grant.\\n\\nWe are AI Consultants Limited (“Company”) and are the controllers of your personal data. Our registered office is Unit 29, Intelligent Park, Milton Road, Cambridge Cambridgeshire CB9 RDW, and our registered company number is 1234567.\\n\\nWe are part of a group of companies which provides consultancy services across the globe. Our other group companies are:\\n\\nAI Consultants Inc. of 2 Drydock Avenue, Suite 1210, Boston, MA 02210, USA\\nAI Consultants (Singapore) Pte Ltd of 300 Beach Road, Singapore 199555\\nAI Consultants Japan Inc, of 3-1-3 Minamiaoyama, Minato-ku, Tokyo, 107-0062\\nIn the UK we are registered with the Information Commissioner’s Office under registration number Z9888888.\\n\\nIn the US we are registered with the Data Privacy Framework Program (DPF). To view the Company’s certification, please visit https://www.dataprivacyframework.gov/list.\\n\\nWe are a leading, worldwide product development service provider. We specialise in design engineering services, professional technical services and product technical support services (“Services”).\\n\\nAs the deep tech powerhouse of Capgemini, CC spearheads transformative projects to solve the toughest scientific and engineering challenges. Ambitious clients collaborate with us to create new-to-the-world technologies, services and products that have never been seen before. Our unique combination of technical, commercial and market expertise yields market-leading solutions that are hard to copy. This creates valuable intellectual property that generates protectable long-term value.\\n\\nWe work with some of the world’s biggest brands and most ambitious technology start-up ventures across a wide range of markets. From aerospace to agritech, consumer to industry, communications to healthcare, our knowledge of one sector can often be applied to another to create new breakthroughs. We focus on our clients’ success and we are trusted as integral partners in the future of their businesses.\\n\\nWe do important, difficult, radical and impactful things that benefit society. We helped develop the world's first 24/7 wrist-worn activity monitor, wireless pacemaker and wireless patient monitor, as well as the first connected drug inhaler. Our work led to the most densely packed cellular network in the world – orchestrating swarms of bots across highly automated warehouses. It produced the Bluetooth chip that connects your phone to your car and the latest satellite technology that lets people in remote locations across the world keep in touch.\"\n },\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n\\t\\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n\\t\\t\\\"eligibility_matches\\\": {\\n\\t\\t \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n\\t}\\n}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d741ef63-dcf3-452d-978c-8cbc27f55a33\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 600,\n 20\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7354ed6d-50f5-4234-90d8-2d9d0c7eccd4\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1000,\n -120\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"2dffda98-18c6-4c7b-8fc3-0e6539642ea2\",\n \"name\": \"Save to Tracker\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1420,\n -20\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appiNoPRvhJxz9crl\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl\",\n \"cachedResultName\": \"US Grants.gov Tracker\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblX93C9MNzizhibd\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl/tblX93C9MNzizhibd\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"URL\": \"=https://grants.gov/search-results-detail/{{ $('Get Grant Details').item.json.id }}\",\n \"Goal\": \"={{ $json.output.goal }}\",\n \"Notes\": \"={{ $json.output.good_to_know.join('\\\\n') }}\",\n \"Title\": \"={{ $('Get Grant Details').item.json.opportunityTitle }}\",\n \"Agency\": \"={{ $('Get Grant Details').item.json.synopsis.agencyContactName }}\",\n \"Status\": \"New\",\n \"Funding\": \"={{ $('Get Grant Details').item.json.synopsis.estimatedFunding }}\",\n \"Duration\": \"={{ $json.output.duration }}\",\n \"Award Floor\": \"={{ $('Get Grant Details').item.json.synopsis.awardFloor }}\",\n \"Posted Date\": \"={{ $('Get Grant Details').item.json.synopsis.postingDate }}\",\n \"Agency Email\": \"={{ $('Get Grant Details').item.json.synopsis.agencyContactEmail }}\",\n \"Agency Phone\": \"={{ $('Get Grant Details').item.json.synopsis.agencyContactPhone }}\",\n \"Eligibility?\": \"={{ $json.output.eligibility_matches.length > 0 ? 'Yes' : 'No' }}\",\n \"Award Ceiling\": \"={{ $('Get Grant Details').item.json.synopsis.awardCeiling }}\",\n \"Response Date\": \"={{ $('Get Grant Details').item.json.synopsis.responseDate }}\",\n \"Success Criteria\": \"={{ $json.output.success_criteria.join('\\\\n') }}\",\n \"Eligibility Notes\": \"={{ $json.output.eligibility_matches.join('\\\\n') }}\",\n \"Opportunity Number\": \"={{ $('Get Grant Details').item.json.opportunityNumber }}\"\n },\n \"schema\": [\n {\n \"id\": \"Opportunity Number\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Opportunity Number\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Status\",\n \"type\": \"options\",\n \"display\": true,\n \"options\": [\n {\n \"name\": \"New\",\n \"value\": \"New\"\n },\n {\n \"name\": \"Under Review\",\n \"value\": \"Under Review\"\n },\n {\n \"name\": \"Interested\",\n \"value\": \"Interested\"\n },\n {\n \"name\": \"Not Interested\",\n \"value\": \"Not Interested\"\n }\n ],\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Status\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Title\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Title\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"URL\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"URL\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Goal\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Goal\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Success Criteria\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Success Criteria\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Notes\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Notes\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Eligibility?\",\n \"type\": \"options\",\n \"display\": true,\n \"options\": [\n {\n \"name\": \"Yes\",\n \"value\": \"Yes\"\n },\n {\n \"name\": \"No\",\n \"value\": \"No\"\n }\n ],\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Eligibility?\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Eligibility Notes\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Eligibility Notes\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Duration\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Duration\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Agency\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Agency\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Agency Email\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Agency Email\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Agency Phone\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Agency Phone\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Posted Date\",\n \"type\": \"dateTime\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Posted Date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Response Date\",\n \"type\": \"dateTime\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Response Date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Funding\",\n \"type\": \"number\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Funding\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Award Ceiling\",\n \"type\": \"number\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Award Ceiling\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Award Floor\",\n \"type\": \"number\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Award Floor\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"f0712788-b801-4070-a5c2-2f7ed620588e\",\n \"name\": \"Only New Grants\",\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"position\": [\n -60,\n -180\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"removeItemsSeenInPreviousExecutions\",\n \"dedupeValue\": \"={{ $json.id }}\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"fb4ac14d-0bdd-40f7-9b31-3a23450b1f0b\",\n \"name\": \"AI Grants since Yesterday\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -420,\n -180\n ],\n \"parameters\": {\n \"url\": \"https://apply07.grants.gov/grantsws/rest/opportunities/search\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"keyword\\\": \\\"ai\\\",\\n \\\"cfda\\\": null,\\n \\\"agencies\\\": null,\\n \\\"sortBy\\\": \\\"openDate|desc\\\",\\n \\\"rows\\\": 5000,\\n \\\"eligibilities\\\": null,\\n \\\"fundingCategories\\\": null,\\n \\\"fundingInstruments\\\": null,\\n \\\"dateRange\\\": \\\"1\\\",\\n \\\"oppStatuses\\\": \\\"forecasted|posted\\\"\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"0446c882-764a-4c94-8c49-f368c50586a0\",\n \"name\": \"Get New Eligible Grants Today\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n -400,\n 500\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appiNoPRvhJxz9crl\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl\",\n \"cachedResultName\": \"US Grants.gov Tracker\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblX93C9MNzizhibd\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl/tblX93C9MNzizhibd\",\n \"cachedResultName\": \"Table 1\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"filterByFormula\": \"=AND(\\n {Status} = 'New',\\n {Eligibility?} = 'Yes',\\n IS_SAME(DATETIME_FORMAT(Created, 'YYYY-MM-DD'), DATETIME_FORMAT(TODAY(), 'YYYY-MM-DD'))\\n)\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"70bca43a-d00e-4ee6-828a-9926ba1d8fdb\",\n \"name\": \"Generate Email\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -160,\n 500\n ],\n \"parameters\": {\n \"html\": \"\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n \\n\\n \\n \\n \\n \\n\\n\\n \\n \\n \\n\\n \\n \\n \\n \\n \\n Latest AI Grants
\\n \\n\\n \\n \\n \\n
\\n\\n \\n \\n\\n\\n \\n \\n \\n \\n \\n\\n\\n \\n \\n\\n \\n \\n \\n \\n\\n\\n \\n \\n \\n\\n \\n \\n \\n{{\\n$input.all().map((input,idx) => {\\nreturn `\\n \\n \\n \\n ${idx+1}. ${input.json.Title}\\n
\\n \\n ${input.json.Agency}\\n ·\\n See details\\n \\n \\n Synopsis: ${input.json.Goal}\\n
\\n \\n ${input.json['Success Criteria']\\n .split('\\\\n')\\n .map(text => `- ${text}
`)\\n .join('')\\n }\\n
\\n \\n Posted By ${input.json['Posted Date']\\n .toDateTime()\\n .format('EEE, dd MMM yyyy t')}\\n
\\n Respond By ${input.json['Response Date']\\n .toDateTime()\\n .format('EEE, dd MMM yyyy t')}\\n \\n \\n \\n`\\n}).join('
')\\n}} \\n \\n \\n \\n
\\n\\n \\n \\n\\n\\n \\n \\n \\n \\n \\n\\n\\n \\n \\n\\n \\n \\n \\n \\n\\n\\n \\n \\n \\n\\n \\n \\n \\n \\n \\n Autogenerated by n8n.
\\nBrought to you by workflow #{{ $workflow.id }}
\\n \\n\\n \\n \\n \\n
\\n\\n \\n \\n\\n\\n \\n \\n \\n \\n \\n\\n\\n \\n \\n \\n \\n
\\n \\n \\n\\n\\n\\n\"\n },\n \"executeOnce\": true,\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"12bd72f5-3028-4572-b59e-1cc143e44a86\",\n \"name\": \"Everyday @ 9am\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -720,\n 460\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"triggerAtHour\": 8\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"ca62c507-bce5-4a63-be0e-e60591408668\",\n \"name\": \"Everyday @ 8.30am\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -720,\n -220\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"triggerAtHour\": 8,\n \"triggerAtMinute\": 30\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"032bec7e-5aff-4103-b81e-e5bc4a88ddde\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -540,\n -420\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 700,\n \"height\": 480,\n \"content\": \"## 1. Fetch Latest AI Grants, Ignore Those Already Seen\\n[Learn more about the Remove Duplicates node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.removeduplicates/)\\n\\nA cool feature of n8n's remove duplicates node is that it works across executions. What this means for this template is that the node will help us keep track of grant IDs to know if we've already processed them and if so, filter them out so we won't have duplicate alerts.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"07147665-3571-4512-adce-2727dcb95240\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 180,\n -520\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 1000,\n \"height\": 720,\n \"content\": \"## 2. Quickly Determine Eligibility Using AI\\n[Learn more about the Information Extractor node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/)\\n\\nQualifying Leads requires a lot of contextual reasoning taking into account many factors such as commercials, location and eligibility criteria. Whilst it's not guaranteed AI can or will solve this for your particular requirements, it can however get you a good distance of the way there!\\n\\nAI in this template intends to reduce time (and therefore cost) for a team member needs to spend per grant listing or increase their coverage of grants which they would otherwise miss due to capacity.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f4758b4d-727a-4ce8-b071-3388eb16b219\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n -280\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 520,\n \"height\": 480,\n \"content\": \"## 3. Save Results to Grant Tracker\\n[Learn more about the Airtable Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable/)\\n\\nIn n8n, it's easy to send your data anywhere to manage yourself, share with your team or reuse with other workflows. Here for demonstration purposes, we'll just store each grant as a row in our Airtable database.\\n\\nCheck out the sample Airtable here: https://airtable.com/appiNoPRvhJxz9crl/shrRdP6zstgsxjDKL\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a7861a21-021f-4629-b863-2163c7436d13\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -540,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 620,\n \"height\": 500,\n \"content\": \"## 4. Generate Latest AI Grants Alert Email\\n[Learn more about the HTML Template node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.html/)\\n\\nUsing our freshly collected AI grants, it would be nice if we can share them with our team members via email. A nicely formatted email digest can be generated using the HTML template node, with added links for greater impact.\\n\\nHere in this demonstration, we will loop through all eligible new grants and compile them into a newsletter format using the HTML node.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d09af53-92cb-4288-86d7-dcf695bfb358\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 100,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 640,\n \"height\": 500,\n \"content\": \"## 5. Send to a list of Subscribers\\n[Learn more about the Gmail node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/)\\n\\nFinally, we can source a list of subscribers to send our generated email newsletter.\\n\\nHere, our subscriber list is another table alongside our grants table that we can import that list using the Airtable node. You can use any email provider that supports HTML but for this demonstration, we're using Gmail for simplicity sake.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"784d59f3-5b1f-4404-bc04-4bd58cf03585\",\n \"name\": \"Get Subscribers\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 240,\n 500\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appiNoPRvhJxz9crl\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl\",\n \"cachedResultName\": \"US Grants.gov Tracker\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblaS91hyhguntfaC\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl/tblaS91hyhguntfaC\",\n \"cachedResultName\": \"Subscribers\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"filterByFormula\": \"AND({Status} = 'Active')\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"3be0788b-90ef-4648-aa25-1170208a685d\",\n \"name\": \"Send Subscriber Email\",\n \"type\": \"n8n-nodes-base.gmail\",\n \"position\": [\n 480,\n 500\n ],\n \"webhookId\": \"37eeec7a-1982-4137-8473-313bfb6c5b42\",\n \"parameters\": {\n \"sendTo\": \"={{ $json.Email }}\",\n \"message\": \"={{ $('Generate Email').first().json.html }}\",\n \"options\": {},\n \"subject\": \"Daily Newletter for Intersting US Grants\"\n },\n \"credentials\": {\n \"gmailOAuth2\": {\n \"id\": \"Sf5Gfl9NiFTNXFWb\",\n \"name\": \"Gmail account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"14a65482-b314-4a2f-9ce3-87e3aae126f9\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1280,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 460,\n \"height\": 200,\n \"content\": \"## Scheduled Triggers\\n[Learn more about Scheduled Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger)\\n\\nScheduled triggers are a great way to run this template automatically in the morning ready for your team before they start their working day.\\n\\nFeel free to adjust the interval to a time which suits you!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b172eb7a-58bc-4d4a-be22-796d34a59897\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1280,\n -620\n ],\n \"parameters\": {\n \"width\": 460,\n \"height\": 900,\n \"content\": \"## Try It Out!\\n\\n### This n8n templates demonstrates how to automatically ingest a source of leads at regular intervals and take advantage of n8n's remove duplicates node to simplify duplicate detection.\\nAdditionally after the leads are captured, a simple alerts notification can be generated and shared with team members.\\n\\n### How it works\\n* A scheduled trigger is set to fetch a list of AI grants listed on the grants.gov website in the past day.\\n* A Remove Duplicates node is used to track Grant IDs to filter out those already processed by the workflow.\\n* New grants are summarized and analysed by AI nodes to determine eligibility and interest which is then saved to an Airtable database.\\n* Another scheduled trigger starts a little later than the first to collect and summarize the new grants\\n* The results are then compiled into an email template using the HTML node, in the form of a newsletter designed to alert and brief team members of new AI grants.\\n* This email is then sent to a list of subscribers using the gmail node.\\n\\n## How to use\\n* Make a copy of sample Airtable here: https://airtable.com/appiNoPRvhJxz9crl/shrRdP6zstgsxjDKL\\n* The filters for fetching the grants is currently set to the \\\"AI\\\" category. Feel free to change this to include more categories.\\n* Not interested in grants, this template can works for other sources of leads just change the endpoint and how you're defining the item ID to track.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f9849413-4dad-44dc-92ec-8879d123bfd3\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 720,\n 40\n ],\n \"parameters\": {\n \"width\": 320,\n \"height\": 120,\n \"content\": \"### Add your company details here!\\nCompany details are added in the system prompt to help the AI determine eligibility. The more details the better!\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Save to Tracker\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Everyday @ 9am\": {\n \"main\": [\n [\n {\n \"node\": \"Get New Eligible Grants Today\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Email\": {\n \"main\": [\n [\n {\n \"node\": \"Get Subscribers\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Grants to List\": {\n \"main\": [\n [\n {\n \"node\": \"Only New Grants\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Subscribers\": {\n \"main\": [\n [\n {\n \"node\": \"Send Subscriber Email\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only New Grants\": {\n \"main\": [\n [\n {\n \"node\": \"Get Grant Details\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Save to Tracker\": {\n \"main\": [\n []\n ]\n },\n \"Everyday @ 8.30am\": {\n \"main\": [\n [\n {\n \"node\": \"AI Grants since Yesterday\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Grant Details\": {\n \"main\": [\n [\n {\n \"node\": \"Summarize Synopsis\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Eligibility Factors\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Summarize Synopsis\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Eligibility Factors\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarize Synopsis\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Eligibility Factors\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"AI Grants since Yesterday\": {\n \"main\": [\n [\n {\n \"node\": \"Grants to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get New Eligible Grants Today\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Email\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Deduplicate Scraping AI Grants for Eligibility using AI", "node_count": 24, "category": "General Automation"}}
{"prompt": "How would you build: Enrich Property Inventory Survey With Image Recognition And Ai Agent?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"192d3e4f-6bb0-4b87-a1fa-e32c9efb49cc\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 336,\n 34\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"32a7a772-76a6-4614-a6ab-d2b152a5811f\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1220,\n 180\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {\n \"temperature\": 0\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8c444314-ed7d-4ca0-b0fa-b6d1e964c698\",\n \"name\": \"Get Applicable Rows\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 516,\n 34\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appbgxPBurOmQK3E7\",\n \"cachedResultUrl\": \"https://airtable.com/appbgxPBurOmQK3E7\",\n \"cachedResultName\": \"Building Inventory Survey Example\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"tblEHkoTvKpa4Aa0Q\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"returnAll\": false,\n \"filterByFormula\": \"AND(Image!=\\\"\\\", AI_status=FALSE())\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f90578fa-b886-4653-8ff7-0c91884dc517\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 1257,\n 733\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"8f5959eb-45bd-4185-a959-10268827e41d\",\n \"name\": \"Edit Fields\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1417,\n 733\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7263764b-8409-4cea-8db3-3278dd7ef9d8\",\n \"name\": \"=route\",\n \"type\": \"string\",\n \"value\": \"={{ $json.route }}\"\n },\n {\n \"id\": \"55c3b207-2e98-4137-8413-f72cbff17986\",\n \"name\": \"query\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query }}\"\n },\n {\n \"id\": \"6eb873de-3c3a-4135-9dc0-1d441c63647c\",\n \"name\": \"\",\n \"type\": \"string\",\n \"value\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2c7f7274-12e9-4dd3-8ee4-679b408d5430\",\n \"name\": \"Fallback Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1580,\n 875\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"{\\n \\\"response\\\": {\\n \\\"ok\\\": false,\\n \\\"error\\\": \\\"The requested tool was not found or the service may be unavailable. Do not retry.\\\"\\n }\\n}\\n\"\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"09f36f4d-eb88-4d93-a8b3-e9ba66b46b54\",\n \"name\": \"SERP Google Reverse Image API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1860,\n 549\n ],\n \"parameters\": {\n \"url\": \"https://serpapi.com/search.json\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"engine\",\n \"value\": \"google_reverse_image\"\n },\n {\n \"name\": \"image_url\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"serpApi\"\n },\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"aJCKjxx6U3K7ydDe\",\n \"name\": \"SerpAPI account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8e3a0f38-8663-4f5c-837f-4b9aa21f14fb\",\n \"name\": \"Reverse Image Search Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2037,\n 547\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"de99a504-713f-4c78-8679-08139b2def31\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ JSON.stringify($json.image_results.map(x => ({ position: x.position, title: x.title, link: x.link, description: x.snippet }))) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"0cd2269a-5b1f-4f10-b180-7f9cff9b1102\",\n \"name\": \"Reverse Image Search Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1300,\n 340\n ],\n \"parameters\": {\n \"name\": \"reverse_image_search\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"serp.google_reverse_image\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to perform a reverse image search. Reverse image searches return urls where similar looking products exists. Fetch the returned urls to gather more information. This tool requires the following object request body.\\n```\\n{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"image_url\\\": { \\\"type\\\": \\\"string\\\" },\\n }\\n}\\n```\\nimage_url should be an absolute URL to the image.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"9825651e-b382-4e0a-97ef-37764cb5be9e\",\n \"name\": \"Firecrawl Scrape API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1860,\n 889\n ],\n \"parameters\": {\n \"url\": \"https://api.firecrawl.dev/v0/scrape\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n },\n \"genericAuthType\": \"httpHeaderAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"OUOnyTkL9vHZNorB\",\n \"name\": \"Firecrawl API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"7f61d60b-b052-4b7c-abfd-9eb8e05a45a2\",\n \"name\": \"Scrape Success?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2020,\n 889\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"a15a164f-d0c5-478f-8b27-f3d51746c214\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.success }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"29c65ef4-6350-490a-b8e3-a5c869e656b2\",\n \"name\": \"Firecrawl Scrape Success Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 889\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7db5c81f-de90-40e1-8086-3f13d40451c7\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data.markdown.substring(0, 3000) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"229b4008-d8a8-4609-854a-fc244a4ed630\",\n \"name\": \"Firecrawl scrape Error Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 1049\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e691d86a-d366-44a2-baa6-3dba42527f6e\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"{ error: \\\"Unable to scrape website due to unknown error. Do not retry.\\\" }\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"f080069b-e849-45e0-88cf-03707d22c704\",\n \"name\": \"Firecrawl Web Scaper Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1440,\n 340\n ],\n \"parameters\": {\n \"name\": \"webpage_url_scraper_tool\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"firecrawl.scrape\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to retrieve page contents of a url.\\n```\\n{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"url\\\": { \\\"type\\\": \\\"string\\\" },\\n }\\n}\\n```\\nurl should be an absolute URL.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"4eff88bb-bd5e-4d6a-b5e1-8521632c461f\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1500,\n 180\n ],\n \"parameters\": {\n \"jsonSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"title\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"description\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"model\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"material\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"color\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"condition\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"328d106b-a473-4f54-82fd-55c30d813da9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 280,\n -260\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 402.5984702109446,\n \"height\": 495.4071184783251,\n \"content\": \"## 1. Use Airtable to Capture Survey Photos\\n[Read more about AirTable](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable)\\n\\nTo enable this workflow, we need a database where we can retreive the title and photo to analyse and write the generate values back to. Airtable is perfect for this since it has a robust API we can work with.\\n\\nFor this demo, we'll manually trigger but this can be changed for forms or other triggers.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e358775d-ff83-411d-9364-b43c87d98134\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 716.3106363781314,\n -160\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 359.40869874940336,\n \"height\": 428.4787925736586,\n \"content\": \"## 2. Use AI Vision Model to Analyse the Photo.\\n[Read more about OpenAI Vision](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai)\\n\\nWe'll use OpenAi vision model to create a detailed description of the product in the photo. We split this step from the agent because it uses an image model rather than the usual text-based one.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"51b4a70c-9583-4e8a-8e8d-896a80ad53c3\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1111.3914848823072,\n -293.9250474768817\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 593.0683948010671,\n \"height\": 803.956942672397,\n \"content\": \"## 3. Build an AI Agent who Searches the Internet\\n[Read more about OpenAI Agents](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai)\\n\\nThis AI Agent has the ability to perform reverse image searches using our captured photos as well visit external webpages in order to obtain accurate product names and attributes. The Agent along with the tools might mimic what the average human user would carry out the same task.\\n\\n* For reverse image search, we're using SERP API service however we won't use the built-in SERP node as we need to specify custom parameters. \\n* For scraping, we'll use [Firecrawl](https://www.firecrawl.dev/) as this service also helps to parse and return the page as markdown which is more efficient.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"adfb519b-a5c7-432c-be32-5acfcc388b49\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n -149.28190375244515\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 373.3601237414979,\n \"height\": 397.7168664109706,\n \"content\": \"## 4. Overwrite our Rows with Enriched Results\\n\\nAnd Viola! Our AI agent has potentially saved hours of manual data entry work for our surveyor. This technique can be used for many other usecases.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6444e217-b944-450e-892a-5822d4d390ce\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 549\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 554.6092633638649,\n \"height\": 490.7010880746526,\n \"content\": \"## 5. Using the Custom Workflow Tool\\n[Read more about Workflow Tools](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolworkflow)\\n\\nAI Agents rely on Tools to make decisions and become exponentially more powerful the more tools they have. A common pattern to manage multiple tools is to create a routing system for tools using the API pattern.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bf2459cf-a931-4232-9504-b36b15721194\",\n \"name\": \"Enrich Product Rows\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1880,\n 60\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appbgxPBurOmQK3E7\",\n \"cachedResultUrl\": \"https://airtable.com/appbgxPBurOmQK3E7\",\n \"cachedResultName\": \"Building Inventory Survey Example\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"tblEHkoTvKpa4Aa0Q\"\n },\n \"columns\": {\n \"value\": {\n \"id\": \"={{ $('Get Applicable Rows').item.json.id }}\",\n \"Color\": \"={{ $json.output.output.color }}\",\n \"Model\": \"={{ $json.output.output.model }}\",\n \"Title\": \"={{ $json.output.output.title }}\",\n \"Material\": \"={{ $json.output.output.material }}\",\n \"AI_status\": true,\n \"Condition\": \"={{ $json.output.output.condition }}\",\n \"Description\": \"={{ $json.output.output.description }}\"\n },\n \"schema\": [\n {\n \"id\": \"id\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"id\",\n \"defaultMatch\": true\n },\n {\n \"id\": \"Title\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Title\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Image\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Image\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Description\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Description\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Model\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Model\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Material\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Material\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Color\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Color\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Condition\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Condition\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"AI_status\",\n \"type\": \"boolean\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"AI_status\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"id\"\n ]\n },\n \"options\": {},\n \"operation\": \"update\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"19d736bf-c29d-46a2-93bc-b536ff28c4b5\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n -260\n ],\n \"parameters\": {\n \"width\": 359.6648027457353,\n \"height\": 381.0536322713287,\n \"content\": \"## Try It Out!\\n### This workflow does the following:\\n* Scans an Airtable spreadsheet for rows with product photo images.\\n* Uses an AI vision model to attempt to identify the product.\\n* Uses an AI Agent to research the product on the internet to enrich the product data.\\n* Overwrites our Airtable spreadsheet with the enriched data.\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"25f15c48-16bf-4f92-942d-c224ed88d208\",\n \"name\": \"Analyse Image\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 840,\n 80\n ],\n \"parameters\": {\n \"text\": \"=Focus on the {{ $json.Title }} in the image - we'll refer to this as the \\\"object\\\". Identify the following attributes of the object. If you cannot determine confidently, then leave blank and move to next attribute.\\n* Decription of the object.\\n* The model/make of the object.\\n* The material(s) used in the construction of the object.\\n* The color(s) of the object\\n* The condition of the object. Use one of poor, good, excellent.\\n\",\n \"options\": {},\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $json.Image[0].thumbnails.large.url }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"e6c99f71-ccc9-426e-b916-cc38864e3224\",\n \"name\": \"Object Identifier Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1260,\n 20\n ],\n \"parameters\": {\n \"text\": \"=system: Your role is to help an building surveyor perform a object classification and data collection task whereby the surveyor will take photos of various objects and your job is to try and identify accurately certain product attributes of the objects as detailed below.\\n\\nThe surveyor has given you the following:\\n1) photo url ```{{ $('Get Applicable Rows').item.json.Image[0].thumbnails.large.url }}```.\\n2) photo description ```{{ $json.content }}```.\\n\\nFor each product attribute the surveyor is unable to determine, you may:\\n1) use the reverse image search tool to search the product on the internet via the provided image url.\\n2) use the web scraper tool to read webpages on the internet which may be relevant to the product.\\n3) If after using these tools, you are still unable to determine the required product attributes then leave the data blank.\\n\\nUse all the information provided and gathered, to extract the following product attributes: title, description, model, material, color and condition.\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {},\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"661b14bd-6511-4f20-981c-2e68a7c34ec5\",\n \"name\": \"Actions Router\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1577,\n 733\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"serp.google_reverse_image\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"serp.google_reverse_image\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"firecrawl.scrape\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0a1f54ae-39f1-468d-ba6e-1376d13e4ee8\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"firecrawl.scrape\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {\n \"fallbackOutput\": \"extra\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"c5078221-9239-4ec0-b25e-7cd880b58216\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 480,\n 20\n ],\n \"parameters\": {\n \"width\": 181.2788838920522,\n \"height\": 297.0159375852115,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n🚨**Required**\\n* Set Airtable Base and Table IDs here.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c58c0db4-9b99-4a77-90ae-66fa3981b684\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1840,\n 40\n ],\n \"parameters\": {\n \"width\": 181.2788838920522,\n \"height\": 297.0159375852115,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n🚨**Required**\\n* Set Airtable Base and Table IDs here.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e3a666d7-d7a5-43f5-8f04-7972332f8916\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1780,\n 440\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 460.3301604548244,\n \"height\": 298.81538450684064,\n \"content\": \"## 5.1 Google Reverse Image Tool\\nThis tool uses Google's reverse image API to return websites where similar images are found.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d7407cdb-16bb-4bd9-a28e-7a72a5289354\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1780,\n 769.9385328672522\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 575.3216480295998,\n \"height\": 463.34699288922565,\n \"content\": \"## 5.2 Webscraper Tool\\nThis tool uses Firecrawl.dev API to crawl webpages and returns those pages in markdown format.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Edit Fields\": {\n \"main\": [\n [\n {\n \"node\": \"Actions Router\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyse Image\": {\n \"main\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Actions Router\": {\n \"main\": [\n [\n {\n \"node\": \"SERP Google Reverse Image API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Firecrawl Scrape API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Fallback Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Scrape Success?\": {\n \"main\": [\n [\n {\n \"node\": \"Firecrawl Scrape Success Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Firecrawl scrape Error Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Applicable Rows\": {\n \"main\": [\n [\n {\n \"node\": \"Analyse Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Firecrawl Scrape API\": {\n \"main\": [\n [\n {\n \"node\": \"Scrape Success?\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Object Identifier Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Enrich Product Rows\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Firecrawl Web Scaper Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Reverse Image Search Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SERP Google Reverse Image API\": {\n \"main\": [\n [\n {\n \"node\": \"Reverse Image Search Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Get Applicable Rows\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Enrich Property Inventory Survey with Image Recognition and AI Agent", "node_count": 29, "category": "General Automation"}}
{"prompt": "How would you build: Extract Insights & Analyse Youtube Comments Via Ai Agent Chat?", "response": "# Workflow Architecture\n\n**Purpose**: Database\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n4. **Actions**: @n8n/n8n-nodes-langchain.memoryPostgresChat\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd\"\n },\n \"nodes\": [\n {\n \"id\": \"f4b3833b-cf25-4bbc-927c-080586c5713c\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n 760\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 330.5152611046425,\n \"height\": 239.5888196628349,\n \"content\": \"### ... or watch set up video [13 min]\\n[](https://youtu.be/6RmLZS8Yl4E)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"64d96c53-b3e2-4aea-9a29-9b9e5c729f4f\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 400,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 636.2128494576581,\n \"height\": 497.1532689930921,\n \"content\": \"\\n## AI Agent To Chat With Youtube\\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\\n\\nNavigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively.\\n\\nThe workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include:\\n- Extracting user preferences from comments.\\n- Transcribing video content for enhanced understanding.\\n- Analyzing thumbnails via AI for maximum viewer engagement insights.\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"57d2ede9-1bf9-4449-9dc9-af1ccee763b6\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 400,\n 760\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 280.2462120317618,\n \"height\": 545.9087885077763,\n \"content\": \"### Set up steps\\n\\n1. **API Setup**:\\n - Create a [Google Cloud](https://console.cloud.google.com/apis/dashboard) project and enable the YouTube Data API.\\n - Generate an API key for [Apify](https://www.apify.com?fpr=ujogj).\\n - Generate API key for [OpenAI](https://platform.openai.com)\\n - Create all credentials in N8N - OpenAI, Apify, Google Cloud.\\n\\n2. **YouTube Creator and Video Selection**:\\n - Start by defining a request to identify top creators based on their video views.\\n - Capture the YouTube video IDs for further analysis of comments and other video metrics.\\n\\n3. **Comment Analysis**:\\n - Gather comments associated with the selected videos and analyze them for user insights.\\n - Implement pagination to handle the maximum comment retrieval limits in API requests.\\n\\n4. **Video Transcription**:\\n - Request transcriptions for videos of interest, ensuring to manage potential costs associated with longer video processing.\\n - Utilize the insights from transcriptions to formulate content plans.\\n\\n5. **Thumbnail Analysis**:\\n - Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.\\n\\n6. **Data Management**:\\n - Incorporate a database agent to organize video data and metrics, allowing efficient record management and future content planning.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca0fd549-88a7-44fd-ab81-7fd5ca140dae\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1540,\n 820\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7f2cf209-2e9d-4d6a-bc9e-d1bfd6df7266\",\n \"name\": \"get_channel_details\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1900,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_channel_details\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"=get_channel_details\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Get channel_id, title and description by handle/username.\\nChannel_id is required to find videos and details about this channel.\\nIf Youtube link to channel provided - parse handle from there or return channel_id. (e.g. https://www.youtube.com/@example_handle - example_handle)\\n\\n\\nExample Input:\\nexample_handle\\n\\nExample Output:\\nid:UCOgz_YflAsYnGbdvzXuKNCA\\ntitle:Daniel Simmons\\ndescription:Digital Diary 🤎\\\\n\\\\n\\\\nWeekly videos around fashion...\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"handle\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Handle/username of channel\\\"\\n }},\\n \\\"required\\\": [\\\"handle\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c02f5c19-6e50-4a06-95b9-eceb3eec1012\",\n \"name\": \"get_video_description\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2020,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_video_description\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"video_details\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Fetch video details - the full description, title, and publish date of a video using its video_id.\\n\\nExample input:\\nvideo_id:dQw4w9WgXcQ\\n\\nExample Output:\\ntitle:Never Gonna Give You Up\\ndescription: \\\"The official video for “Never Gonna Give You Up” by Rick Astley.\\nduration:4 min\\nviewCount:154\\nlikeCount:6\\nthumbnails: urls\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"video_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The ID of the video to fetch details for\\\"\\n }\\n },\\n \\\"required\\\": [\\\"video_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"2d61160b-3a65-4766-ace6-947a7c5de6e5\",\n \"name\": \"get_list_of_videos\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2140,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_list_of_videos\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"videos\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Retrieve a list of videos from a channel using channel_id. Supports sorting by date, relevance, or view count.\\n\\nExample Input:\\nchannel_id\\\": \\\"UCxxxxxxxxxxxxxxxx\\\"\\nnumber_of_videos\\\": 5\\norder: \\\"date\\\"\\npublishedAfter: \\\"timestamp\\\"\\n\\nExample Output:\\nvideo_id:abc123\\ntitle:Latest Video\\nshort cut description:Latest Video\\npublished_at:2023-12-05T10:00:00Z\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"channel_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The ID of the channel to fetch videos from\\\"\\n },\\n \\\"number_of_videos\\\": {\\n \\\"type\\\": \\\"integer\\\",\\n \\\"description\\\": \\\"The maximum number of videos to retrieve (max 50)\\\"\\n },\\n \\\"order\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"enum\\\": [\\\"date\\\", \\\"relevance\\\", \\\"viewCount\\\"],\\n \\\"description\\\": \\\"Order in which to fetch videos\\\"\\n },\\n \\\"publishedAfter\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Timestamp for filtering like 2023-11-03T15:28:05Z.\\\"\\n }\\n },\\n \\\"required\\\": [\\\"channel_id\\\", \\\"number_of_videos\\\", \\\"order\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c5aa2f7c-7748-4f88-abb6-fd274ad1295a\",\n \"name\": \"get_list_of_comments\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2260,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_list_of_comments\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"comments\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Retrieve a list of comments from a video using video_id.\\n\\nInput:\\n \\\"video_id\\\": \\\"dQw4w9WgXcQ\\\"\\n\\nOutput:\\n \\\"author\\\": \\\"John Doe\\\",\\n \\\"comment\\\": \\\"This is an amazing video!\\\",\\n \\\"published_at\\\": \\\"2023-12-04T12:00:00Z\\\"\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"video_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The ID of the video to fetch comments from\\\"\\n }\\n },\\n \\\"required\\\": [\\\"video_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c68cad77-1d71-45a3-b94b-8f7c701f56fb\",\n \"name\": \"search\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2380,\n 820\n ],\n \"parameters\": {\n \"name\": \"search\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"search\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Search for videos or channels using a query. Supports filtering by type (video or channel) and sorting (date, viewCount, relevance). Use | for OR and - to exclude terms in the query.\\n\\nInput:\\ntype: video or channel\\nquery: search query\\nsorting: date, viewCount, relevance\\npublishedAfter: timestamp\\n\\nOutput:\\n- id, title, short cut description, and published_at.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"type\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"enum\\\": [\\\"video\\\", \\\"channel\\\"],\\n \\\"description\\\": \\\"Type of results to retrieve: video or channel\\\"\\n },\\n \\\"query\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Search query. Supports | for OR and - to exclude terms\\\"\\n },\\n \\\"sorting\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"enum\\\": [\\\"date\\\", \\\"viewCount\\\", \\\"relevance\\\"],\\n \\\"description\\\": \\\"Sorting criteria for search results\\\"\\n },\\n \\\"publishedAfter\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Timestamp for filtering like 2023-11-03T15:28:05Z\\\"\\n }\\n },\\n \\\"required\\\": [\\\"type\\\", \\\"query\\\", \\\"sorting\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c87d5392-8a5c-4999-9e58-89a5e0700c40\",\n \"name\": \"analyze_thumbnail\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2500,\n 820\n ],\n \"parameters\": {\n \"name\": \"analyze_thumbnail\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"analyze_thumbnail\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Analyze a thumbnail image based on a given prompt. The prompt can be customized for specific analysis needs, such as design critique, color scheme evaluation, or content assessment.\\nUse link of maxRes thumbnail. \\n\\nInput:\\n- url: URL of the thumbnail image.\\n- prompt: Customizable instruction for the analysis.\\n\\nOutput:\\n- Results of the analysis based on the given prompt.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"url\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"URL of the thumbnail image to analyze\\\"\\n },\\n \\\"prompt\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Customizable instruction to guide the image analysis\\\"\\n }\\n },\\n \\\"required\\\": [\\\"url\\\", \\\"prompt\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"1be2fa35-9091-4db8-a8eb-50f822d618d3\",\n \"name\": \"video_transcription\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2620,\n 820\n ],\n \"parameters\": {\n \"name\": \"video_transcription\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"video_transcription\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Transcribe a video and retrieve its text transcription. Useful for analyzing video content or repurposing it for other formats.\\n\\nInput:\\n- video_url: URL of the video to transcribe.\\n\\nOutput:\\n- The text transcription of the video.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"video_url\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"URL of the video to transcribe\\\"\\n }\\n },\\n \\\"required\\\": [\\\"video_url\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"fbfcd82f-e247-4a21-be12-339df7afe681\",\n \"name\": \"Postgres Chat Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryPostgresChat\",\n \"position\": [\n 1700,\n 820\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('When chat message received').item.json.sessionId }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"AO9cER6p8uX7V07T\",\n \"name\": \"Postgres 5minai\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"6a4bbad9-27ab-448b-9222-2c8843fe241a\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1760,\n 560\n ],\n \"parameters\": {\n \"text\": \"={{ $('When chat message received').item.json.chatInput }}\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"systemMessage\": \"You are Youtube assistant. \\nYou need to process user's requests and run relevant tools for that. \\n\\nPlan and execute in right order runs of tools to get data for user's request.\\n\\nIMPORTANT Search query and list of videos for channel tools returns all videos including shorts - use Get Video description tool to identify shorts (less than minute) and filter them out if needed.\\n\\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. \"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"739cc12a-27d1-48e9-b124-7f83fb372514\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 1460,\n 600\n ],\n \"webhookId\": \"6e95bc27-99a6-417c-8bf7-2831d7f7a4be\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"613af9f2-77fa-42c4-86d3-87e20f2c0c89\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1380,\n 500\n ],\n \"parameters\": {\n \"width\": 1430.34590072234,\n \"height\": 588.1344471094899,\n \"content\": \"## Scenario 1: AI agent\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"54116346-bc73-4a6a-8bca-f2a6e6699374\",\n \"name\": \"Get Comments\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1598\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/commentThreads\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"id,snippet,replies\"\n },\n {\n \"name\": \"videoId\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.video_id }}\"\n },\n {\n \"name\": \"maxResults\",\n \"value\": \"100\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"faabf71a-69f2-4113-802e-124a09fa9a0a\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 1444,\n 1598\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"4b3ec3aa-7c69-4a72-a989-02f97acdf612\",\n \"name\": \"Get Channel Details\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1278\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/channels\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n },\n {\n \"name\": \"forHandle\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.handle }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ed8dec73-8c50-4eb9-8efe-68ee72c4d5e6\",\n \"name\": \"Get Video Description\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1438\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/videos\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet,contentDetails,statistics\"\n },\n {\n \"name\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.video_id }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c1ff3837-8d7e-49ad-a333-c177833fcd05\",\n \"name\": \"Edit Fields\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2224,\n 1598\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"469d89ba-23fc-482a-b4ae-ce5d3bc13579\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ JSON.stringify(` Comments: ${$json.items.map(item => { const topLevelComment = `${item.snippet.topLevelComment.snippet.authorDisplayName}: ${item.snippet.topLevelComment.snippet.textOriginal}`; const replies = item.replies?.comments.map(reply => `${reply.snippet.authorDisplayName}: ${reply.snippet.textOriginal}` ).join('\\\\n') || ''; return [topLevelComment, replies].filter(Boolean).join('\\\\n'); }).join('\\\\n\\\\n')} `) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"5f0c44fe-2523-4170-a27d-0ccd1bef24a7\",\n \"name\": \"Run Query\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1758\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n },\n {\n \"name\": \"q\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.query }}\"\n },\n {\n \"name\": \"order\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.order }}\"\n },\n {\n \"name\": \"type\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.type }}\"\n },\n {\n \"name\": \"maxResults\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}\"\n },\n {\n \"name\": \"publishedAfter\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3e192718-6710-4143-ac6e-15df79ee5363\",\n \"name\": \"Get Videos by Channel\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1918\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n },\n {\n \"name\": \"channelId\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.channel_id }}\"\n },\n {\n \"name\": \"order\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.order }}\"\n },\n {\n \"name\": \"maxResults\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}\"\n },\n {\n \"name\": \"type\",\n \"value\": \"video\"\n },\n {\n \"name\": \"publishedAfter\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71\",\n \"name\": \"Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2564,\n 1598\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"cfdbe2f5-921e-496d-87bd-9c57fdc22a7a\",\n \"name\": \"response\",\n \"type\": \"object\",\n \"value\": \"={{$json}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"7f5a36d3-6710-4e69-8459-7c8c748ee7d9\",\n \"name\": \"Switch\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1624,\n 1578\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"get_channel_details\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"get_channel_details\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"video_details\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"26a3ffe8-c8a6-4564-8d18-5494a8059372\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"video_details\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"comments\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0f51cc26-2e42-42e1-a5c2-cb1d2e384962\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"comments\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"search\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"51031140-5ceb-48aa-9f33-d314131a9653\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"search\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"videos\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"f160bf0a-423f-448d-ab80-50a0b6a177ca\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"videos\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"analyze_thumbnail\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"29542ac4-7b9d-413f-aabb-a1cdabed2fa7\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"analyze_thumbnail\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"video_transcription\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"35fc39b8-6cf1-4ea6-9609-4a195c5526f8\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"video_transcription\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3.2\n },\n {\n \"id\": \"df432d53-33bf-4e91-9ead-7f4b36bd788a\",\n \"name\": \"Get Video Transcription\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 2238\n ],\n \"parameters\": {\n \"url\": \"=https://api.apify.com/v2/acts/dB9f4B02ocpTICIEY/run-sync-get-dataset-items\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"startUrls\\\": [\\n \\\"{{ $('Execute Workflow Trigger').item.json.query.video_url }}\\\"\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XDavOaI9qH5Zi3QC\",\n \"name\": \"Apify\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8079e5c9-4a52-45ce-ac41-7fc707177a5a\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 2064,\n 2078\n ],\n \"parameters\": {\n \"text\": \"={{ $('Execute Workflow Trigger').item.json.query.prompt }}\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {},\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $('Execute Workflow Trigger').item.json.query.url }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"SphXAX7rlwRLkiox\",\n \"name\": \"Test club key\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"7847e82a-fe82-498c-8c14-4c1c718d632c\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1380,\n 1140\n ],\n \"parameters\": {\n \"width\": 1427.3810326521016,\n \"height\": 1313.2689194736308,\n \"content\": \"## Scenario 2: Agent tools\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a0fbbb0-4c0e-41f1-abb3-c87e955ad1b3\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1540,\n 960\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 266.7375650720483,\n \"height\": 80,\n \"content\": \"### Replace credentials\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"363eaca0-aaa5-4551-845f-528f19bba57a\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2004,\n 1178\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 266.7375650720483,\n \"height\": 80,\n \"content\": \"### Replace credentials in all nodes - Apify, OpenAI, Google\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"query\": {\n \"type\": \"video\",\n \"query\": \"Web scraping data with n8n and Puppeteer\",\n \"sorting\": \"relevance\"\n },\n \"command\": \"search\"\n }\n ]\n },\n \"connections\": {\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Switch\": {\n \"main\": [\n [\n {\n \"node\": \"Get Channel Details\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Video Description\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Comments\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Run Query\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Videos by Channel\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Video Transcription\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"search\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Run Query\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Edit Fields\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Comments\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"analyze_thumbnail\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_list_of_videos\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Channel Details\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_channel_details\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"video_transcription\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Postgres Chat Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_list_of_comments\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Video Description\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Videos by Channel\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_video_description\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Video Transcription\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Switch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Extract insights & analyse YouTube comments via AI Agent chat", "node_count": 29, "category": "Database"}}
{"prompt": "Show me an n8n workflow for generate seo seed keywords using ai", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM\n\n**Key Components**:\n- Total Nodes: 15\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, n8n-nodes-base.noOp\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"257476b1ef58bf3cb6a46e65fac7ee34a53a5e1a8492d5c6e4da5f87c9b82833\",\n \"templateId\": \"2473\"\n },\n \"nodes\": [\n {\n \"id\": \"1205b121-8aaa-4e41-874b-4e81aad6374e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n 600\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 462.4041757955455,\n \"height\": 315.6388466176832,\n \"content\": \"## Generate SEO Seed Keywords Using AI\\n\\nThis flow uses an AI node to generate Seed Keywords to focus SEO efforts on based on your ideal customer profile\\n\\n**Outputs:** \\n- List of 20 Seed Keywords\\n\\n\\n**Pre-requisites / Dependencies:**\\n- You know your ideal customer profile (ICP)\\n- An AI API account (either OpenAI or Anthropic recommended)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d2654d75-2b64-4ec3-b583-57d2b6b7b195\",\n \"name\": \"Sticky Note13\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n 640,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 287.0816455493243,\n \"height\": 330.47923074942287,\n \"content\": \"**Generate draft seed KW based on ICP**\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d248a58e-3705-4b6f-99cb-e9187e56781c\",\n \"name\": \"Anthropic Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"position\": [\n 680,\n 1120\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"71517d83-59f5-441a-8a75-c35f4e06a8a2\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 980,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output.answer\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1c68eff5-6478-4eba-9abe-3ccea2a17a5c\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n 120,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 492.16246201447336,\n \"height\": 213.62075341687063,\n \"content\": \"**Get data from airtable and format** \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"53dcc524-ef3d-40b8-b79d-976517dce4e7\",\n \"name\": \"Sticky Note17\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n 960,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 348.42891651921957,\n \"height\": 213.62075341687063,\n \"content\": \"**Add data to database**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"570495fe-3f1d-44ae-bea0-9fa4b2ce15ef\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n 820\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 393.46745700785266,\n \"height\": 80,\n \"content\": \"**Costs to run**\\nApprox. $0.02-0.05 for a run using Claude Sonnet 3.5\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6e5e84c5-409f-4f37-931a-21a44aff7c5e\",\n \"name\": \"Set Ideal Customer Profile (ICP)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 160,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"973e949e-1afd-4378-8482-d2168532eff6\",\n \"name\": \"product\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string detailing your intended product (if you have one)**\"\n },\n {\n \"id\": \"ce9c0a8f-6157-4b46-8b77-133545dc71bd\",\n \"name\": \"pain points\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string list of customer pain points**\"\n },\n {\n \"id\": \"5abc858a-c412-4acf-acb9-488e4d992d2f\",\n \"name\": \"goals\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string list of your customers key goals/objectives**\"\n },\n {\n \"id\": \"fbdd1ef7-c1b9-48eb-b73e-a383f12b5ba1\",\n \"name\": \"current solutions\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string detailing how your ideal customer currently solves their pain ppoints**\"\n },\n {\n \"id\": \"2e5c8f48-266e-486c-956f-51f1449f6288\",\n \"name\": \"expertise level\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string detailing customer level of expertise**\"\n }\n ]\n }\n },\n \"notesInFlow\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"bd5781f4-6f35-45d3-8182-12ea6712eddf\",\n \"name\": \"Aggregate for AI node\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 380,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"notesInFlow\": true,\n \"typeVersion\": 1\n },\n {\n \"id\": \"244943bf-e4dd-40fc-9a43-7a5cd0da1c5b\",\n \"name\": \"Sticky Note14\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n 1260\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 284.87764467541297,\n \"height\": 80,\n \"content\": \"**REQUIRED**\\nConnect to your own AI API above\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"73c8f47a-4fdb-40c8-9062-890ef1265ab0\",\n \"name\": \"Sticky Note16\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n 1140\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 284.87764467541297,\n \"height\": 80,\n \"content\": \"**REQUIRED**\\nSet your Ideal Customer Profile before proceeding\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a5b93e6d-44ab-4b6f-b86a-25dc621b52b0\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 660,\n 980\n ],\n \"parameters\": {\n \"text\": \"=User:\\nHere are some important rules for you to follow:\\n\\n1. Analyze the ICP information carefully.\\n2. Generate 15-20 seed keywords that are relevant to the ICP's needs, challenges, goals, and search behavior.\\n3. Ensure the keywords are broad enough to be considered \\\"\\\"head\\\"\\\" terms, but specific enough to target the ICP effectively.\\n4. Consider various aspects of the ICP's journey, including awareness, consideration, and decision stages.\\n5. Include a mix of product-related, problem-related, and solution-related terms.\\n6. Think beyond just the product itself - consider industry trends, related technologies, and broader business concepts that would interest the ICP.\\n7. Avoid overly generic terms that might attract irrelevant traffic.\\n8. Aim for a mix of keyword difficulties, including both competitive and less competitive terms.\\n9. Include keywords that cover different search intents: informational, navigational, commercial, and transactional.\\n10. Consider related tools or platforms that the ICP might use, and include relevant integration-related keywords.\\n11. If applicable, include some location-specific keywords based on the ICP's geographic information.\\n12. Incorporate industry-specific terminology or jargon that the ICP would likely use in their searches.\\n13. Consider emerging trends or pain points in the ICP's industry that they might be searching for solutions to.\\n13. Format the keywords in lowercase, without punctuation. Trim any leading or trailing white space.\\n \\n\\nYour output should be an array of strings, each representing a seed keyword:\\n\\n['b2b lead generation', 'startup marketing strategies', 'saas sales funnel', ...]\\n \\n\\nHere is the Ideal Customer Profile (ICP) information:\\n\\n{{ $json.data[0].product }}\\n\\n\\nNow:\\nBased on the provided ICP, generate an array of 15-20 seed keywords that will form the foundation of a comprehensive SEO strategy for this B2B SaaS company. These keywords should reflect a deep understanding of the ICP's needs, challenges, and search behavior, while also considering broader industry trends and related concepts.\\n\\nFirst, write out your ideas in {thoughts: } JSON as part of your analysis, then answer inside the {answer: } key in the JSON. \",\n \"agent\": \"conversationalAgent\",\n \"options\": {\n \"systemMessage\": \"=System: You are an expert SEO strategist tasked with generating 15-20 key head search terms (seed keywords) for a B2B SaaS company. Your goal is to create a comprehensive list of keywords that will attract and engage the ideal customer profile (ICP) described.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"ca3c0bd5-7ef0-4e2b-9b5e-071773c32c85\",\n \"name\": \"Connect to your own database\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 1140,\n 980\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"94639a81-5e46-482a-851a-5443bfe9863c\",\n \"name\": \"Sticky Note15\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1120,\n 1140\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 284.87764467541297,\n \"height\": 80,\n \"content\": \"**REQUIRED**\\nConnect to your own database / GSheet / Airtable base to output these\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"16498e92-c0d5-44f4-b993-c9c8930955bc\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -60,\n 980\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"AI Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Connect to your own database\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Anthropic Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate for AI node\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Ideal Customer Profile (ICP)\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate for AI node\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Ideal Customer Profile (ICP)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Generate SEO Seed Keywords Using AI", "node_count": 15, "category": "AI & LLM"}}
{"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to hn who is hiring scrape", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 20\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest, n8n-nodes-base.code\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"0JsHmmyeHw5Ffz5m\",\n \"meta\": {\n \"instanceId\": \"d4d7965840e96e50a3e02959a8487c692901dfa8d5cc294134442c67ce1622d3\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"HN Who is Hiring Scrape\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"f7cdb3ee-9bb0-4006-829a-d4ce797191d5\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -20,\n -220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0475e25d-9bf4-450d-abd3-a04608a438a4\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 60,\n -620\n ],\n \"parameters\": {\n \"width\": 460,\n \"height\": 340,\n \"content\": \"## Go to https://hn.algolia.com\\n- filter by \\\"Ask HN: Who is hiring?\\\" (important with quotes for full match)\\n- sort by date\\n- Chrome Network Tab > find API call > click \\\"Copy as cURL\\\"\\n- n8n HTTP node -> import cURL and paste \\n- I've set the API key as Header Auth so you will have to do the above yourself to make this work\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a686852b-ff84-430b-92bb-ce02a6808e19\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 400,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"hits\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cdaaa738-d561-4fa0-b2c7-8ea9e6778eb1\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1260,\n -620\n ],\n \"parameters\": {\n \"width\": 500,\n \"height\": 340,\n \"content\": \"## Go to HN API \\nhttps://github.com/HackerNews/API\\n\\nWe'll need following endpoints: \\n- For example, a story: https://hacker-news.firebaseio.com/v0/item/8863.json?print=pretty\\n- comment: https://hacker-news.firebaseio.com/v0/item/2921983.json?print=pretty\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4f353598-9e32-4be4-9e7b-c89cc05305fd\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2680,\n -20\n ],\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\"\n },\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"Fbb2ueT0XP5xMRme\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"5bd0d7cc-497a-497c-aa4c-589d9ceeca14\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 2840,\n -20\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"company\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Name of the hiring company\\\"\\n },\\n \\\"title\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Job title/role being advertised\\\"\\n },\\n \\\"location\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Work location including remote/hybrid status\\\"\\n },\\n \\\"type\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"enum\\\": [\\n \\\"FULL_TIME\\\",\\n \\\"PART_TIME\\\",\\n \\\"CONTRACT\\\",\\n \\\"INTERNSHIP\\\",\\n \\\"FREELANCE\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Employment type (Full-time, Contract, etc)\\\"\\n },\\n \\\"work_location\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"enum\\\": [\\n \\\"REMOTE\\\",\\n \\\"HYBRID\\\",\\n \\\"ON_SITE\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Work arrangement type\\\"\\n },\\n \\\"salary\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Compensation details if provided\\\"\\n },\\n \\\"description\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Main job description text including requirements and team info\\\"\\n },\\n \\\"apply_url\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Direct application/job posting URL\\\"\\n },\\n \\\"company_url\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Company website or careers page\\\"\\n }\\n }\\n}\\n\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"b84ca004-6f3b-4577-8910-61b8584b161d\",\n \"name\": \"Search for Who is hiring posts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 200,\n -220\n ],\n \"parameters\": {\n \"url\": \"https://uj5wyc0l7x-dsn.algolia.net/1/indexes/Item_dev_sort_date/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"query\\\": \\\"\\\\\\\"Ask HN: Who is hiring\\\\\\\"\\\",\\n \\\"analyticsTags\\\": [\\n \\\"web\\\"\\n ],\\n \\\"page\\\": 0,\\n \\\"hitsPerPage\\\": 30,\\n \\\"minWordSizefor1Typo\\\": 4,\\n \\\"minWordSizefor2Typos\\\": 8,\\n \\\"advancedSyntax\\\": true,\\n \\\"ignorePlurals\\\": false,\\n \\\"clickAnalytics\\\": true,\\n \\\"minProximity\\\": 7,\\n \\\"numericFilters\\\": [],\\n \\\"tagFilters\\\": [\\n [\\n \\\"story\\\"\\n ],\\n []\\n ],\\n \\\"typoTolerance\\\": \\\"min\\\",\\n \\\"queryType\\\": \\\"prefixNone\\\",\\n \\\"restrictSearchableAttributes\\\": [\\n \\\"title\\\",\\n \\\"comment_text\\\",\\n \\\"url\\\",\\n \\\"story_text\\\",\\n \\\"author\\\"\\n ],\\n \\\"getRankingInfo\\\": true\\n}\",\n \"sendBody\": true,\n \"sendQuery\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"x-algolia-agent\",\n \"value\": \"Algolia for JavaScript (4.13.1); Browser (lite)\"\n },\n {\n \"name\": \"x-algolia-application-id\",\n \"value\": \"UJ5WYC0L7X\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Accept\",\n \"value\": \"*/*\"\n },\n {\n \"name\": \"Accept-Language\",\n \"value\": \"en-GB,en-US;q=0.9,en;q=0.8\"\n },\n {\n \"name\": \"Connection\",\n \"value\": \"keep-alive\"\n },\n {\n \"name\": \"DNT\",\n \"value\": \"1\"\n },\n {\n \"name\": \"Origin\",\n \"value\": \"https://hn.algolia.com\"\n },\n {\n \"name\": \"Referer\",\n \"value\": \"https://hn.algolia.com/\"\n },\n {\n \"name\": \"Sec-Fetch-Dest\",\n \"value\": \"empty\"\n },\n {\n \"name\": \"Sec-Fetch-Mode\",\n \"value\": \"cors\"\n },\n {\n \"name\": \"Sec-Fetch-Site\",\n \"value\": \"cross-site\"\n },\n {\n \"name\": \"User-Agent\",\n \"value\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36\"\n },\n {\n \"name\": \"sec-ch-ua\",\n \"value\": \"\\\"Chromium\\\";v=\\\"133\\\", \\\"Not(A:Brand\\\";v=\\\"99\\\"\"\n },\n {\n \"name\": \"sec-ch-ua-mobile\",\n \"value\": \"?0\"\n },\n {\n \"name\": \"sec-ch-ua-platform\",\n \"value\": \"\\\"macOS\\\"\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"oVEXp2ZbYCXypMVz\",\n \"name\": \"Algolia Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"205e66f6-cd6b-4cfd-a6ec-2226c35ddaac\",\n \"name\": \"Get relevant data\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 700,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"73dd2325-faa7-4650-bd78-5fc97cc202de\",\n \"name\": \"title\",\n \"type\": \"string\",\n \"value\": \"={{ $json.title }}\"\n },\n {\n \"id\": \"44918eac-4510-440e-9ac0-bf14d2b2f3af\",\n \"name\": \"createdAt\",\n \"type\": \"string\",\n \"value\": \"={{ $json.created_at }}\"\n },\n {\n \"id\": \"00eb6f09-2c22-411c-949c-886b2d95b6eb\",\n \"name\": \"updatedAt\",\n \"type\": \"string\",\n \"value\": \"={{ $json.updated_at }}\"\n },\n {\n \"id\": \"2b4f9da6-f60e-46e0-ba9d-3242fa955a55\",\n \"name\": \"storyId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.story_id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"16bc5628-8a29-4eac-8be9-b4e9da802e1e\",\n \"name\": \"Get latest post\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 900,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"d7dd7175-2a50-45aa-bd3e-4c248c9193c4\",\n \"operator\": {\n \"type\": \"dateTime\",\n \"operation\": \"after\"\n },\n \"leftValue\": \"={{ $json.createdAt }}\",\n \"rightValue\": \"={{$now.minus({days: 30})}} \"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"92e1ef74-5ae1-4195-840b-115184db464f\",\n \"name\": \"Split out children (jobs)\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1460,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"kids\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d0836aae-b98a-497f-a6f7-0ad563c262a0\",\n \"name\": \"Trun into structured data\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 2600,\n -220\n ],\n \"parameters\": {\n \"text\": \"={{ $json.cleaned_text }}\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"Extract the JSON data\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"fd818a93-627c-435d-91ba-5d759d5a9004\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2600,\n -620\n ],\n \"parameters\": {\n \"width\": 840,\n \"height\": 340,\n \"content\": \"## Data Structure\\n\\nWe use Openai GPT-4o-mini to transform the raw data in a unified data structure. Feel free to change this.\\n\\n```json\\n{\\n \\\"company\\\": \\\"Name of the hiring company\\\",\\n \\\"title\\\": \\\"Job title/role being advertised\\\",\\n \\\"location\\\": \\\"Work location including remote/hybrid status\\\",\\n \\\"type\\\": \\\"Employment type (Full-time, Contract, etc)\\\",\\n \\\"salary\\\": \\\"Compensation details if provided\\\",\\n \\\"description\\\": \\\"Main job description text including requirements and team info\\\",\\n \\\"apply_url\\\": \\\"Direct application/job posting URL\\\",\\n \\\"company_url\\\": \\\"Company website or careers page\\\"\\n}\\n```\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b70c5578-5b81-467a-8ac2-65374e4e52f3\",\n \"name\": \"Extract text\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1860,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6affa370-56ce-4ad8-8534-8f753fdf07fc\",\n \"name\": \"text\",\n \"type\": \"string\",\n \"value\": \"={{ $json.text }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"acb68d88-9417-42e9-9bcc-7c2fa95c4afd\",\n \"name\": \"Clean text\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2060,\n -220\n ],\n \"parameters\": {\n \"jsCode\": \"// In a Function node in n8n\\nconst inputData = $input.all();\\n\\nfunction cleanAllPosts(data) {\\n return data.map(item => {\\n try {\\n // Check if item exists and has the expected structure\\n if (!item || typeof item !== 'object') {\\n return { cleaned_text: '', error: 'Invalid item structure' };\\n }\\n\\n // Get the text, with multiple fallbacks\\n let text = '';\\n if (typeof item === 'string') {\\n text = item;\\n } else if (item.json && item.json.text) {\\n text = item.json.text;\\n } else if (typeof item.json === 'string') {\\n text = item.json;\\n } else {\\n text = JSON.stringify(item);\\n }\\n\\n // Make sure text is a string\\n text = String(text);\\n \\n // Perform the cleaning operations\\n try {\\n text = text.replace(///g, '/');\\n text = text.replace(/'/g, \\\"'\\\");\\n text = text.replace(/&\\\\w+;/g, ' ');\\n text = text.replace(/<[^>]*>/g, '');\\n text = text.replace(/\\\\|\\\\s*/g, '| ');\\n text = text.replace(/\\\\s+/g, ' ');\\n text = text.replace(/\\\\s*(https?:\\\\/\\\\/[^\\\\s]+)\\\\s*/g, '\\\\n$1\\\\n');\\n text = text.replace(/\\\\n{3,}/g, '\\\\n\\\\n');\\n text = text.trim();\\n } catch (cleaningError) {\\n console.log('Error during text cleaning:', cleaningError);\\n // Return original text if cleaning fails\\n return { cleaned_text: text, warning: 'Partial cleaning applied' };\\n }\\n\\n return { cleaned_text: text };\\n \\n } catch (error) {\\n console.log('Error processing item:', error);\\n return { \\n cleaned_text: '', \\n error: `Processing error: ${error.message}`,\\n original: item\\n };\\n }\\n }).filter(result => result.cleaned_text || result.error); \\n}\\n\\ntry {\\n return cleanAllPosts(inputData);\\n} catch (error) {\\n console.log('Fatal error:', error);\\n return [{ \\n cleaned_text: '', \\n error: `Fatal error: ${error.message}`,\\n input: inputData \\n }];\\n}\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"a0727b55-565d-47c0-9ab5-0f001f4b9941\",\n \"name\": \"Limit for testing (optional)\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 2280,\n -220\n ],\n \"parameters\": {\n \"maxItems\": 5\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"650baf5e-c2ac-443d-8a2b-6df89717186f\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 580,\n -620\n ],\n \"parameters\": {\n \"width\": 540,\n \"height\": 340,\n \"content\": \"## Clean the result \\n\\n```json\\n{\\n\\\"title\\\": \\\"Ask HN: Who is hiring? (February 2025)\\\",\\n\\\"createdAt\\\": \\\"2025-02-03T16:00:43Z\\\",\\n\\\"updatedAt\\\": \\\"2025-02-17T08:35:44Z\\\",\\n\\\"storyId\\\": \\\"42919502\\\"\\n},\\n{\\n\\\"title\\\": \\\"Ask HN: Who is hiring? (January 2025)\\\",\\n\\\"createdAt\\\": \\\"2025-01-02T16:00:09Z\\\",\\n\\\"updatedAt\\\": \\\"2025-02-13T00:03:24Z\\\",\\n\\\"storyId\\\": \\\"42575537\\\"\\n},\\n```\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1ca5c39f-f21d-455a-b63a-702e7e3ba02b\",\n \"name\": \"Write results to airtable\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 3040,\n -220\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appM2JWvA5AstsGdn\",\n \"cachedResultUrl\": \"https://airtable.com/appM2JWvA5AstsGdn\",\n \"cachedResultName\": \"HN Who is hiring?\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblGvcOjqbliwM7AS\",\n \"cachedResultUrl\": \"https://airtable.com/appM2JWvA5AstsGdn/tblGvcOjqbliwM7AS\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"type\": \"={{ $json.output.type }}\",\n \"title\": \"={{ $json.output.title }}\",\n \"salary\": \"={{ $json.output.salary }}\",\n \"company\": \"={{ $json.output.company }}\",\n \"location\": \"={{ $json.output.location }}\",\n \"apply_url\": \"={{ $json.output.apply_url }}\",\n \"company_url\": \"={{ $json.output.company_url }}\",\n \"description\": \"={{ $json.output.description }}\"\n },\n \"schema\": [\n {\n \"id\": \"title\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"title\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"company\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"company\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"location\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"location\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"type\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"type\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"salary\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"salary\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"description\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"description\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"apply_url\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"apply_url\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"company_url\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"company_url\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"posted_date\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"posted_date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"IudXLNj7CDuc5M5a\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"d71fa024-86a0-4f74-b033-1f755574080c\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n -300\n ],\n \"parameters\": {\n \"width\": 380,\n \"height\": 500,\n \"content\": \"## Hacker News - Who is Hiring Scrape\\n\\nIn this template we setup a scraper for the monthly HN Who is Hiring post. This way we can scrape the data and transform it to a common data strcutre.\\n\\nFirst we use the [Algolia Search](https://hn.algolia.com/) provided by hackernews to drill down the results.\\n\\nWe can use the official [Hacker News API](https://github.com/HackerNews/API\\n) to get the post data and also all the replies!\\n\\nThis will obviously work for any kind of post on hacker news! Get creative 😃\\n\\nAll you need is an Openai Account to structure the text data and an Airtable Account (or similar) to write the results to a list.\\n\\nCopy my base https://airtable.com/appM2JWvA5AstsGdn/shrAuo78cJt5C2laR\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7466fb0c-9f0c-4adf-a6de-b2cf09032719\",\n \"name\": \"HI API: Get the individual job post\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1660,\n -220\n ],\n \"parameters\": {\n \"url\": \"=https://hacker-news.firebaseio.com/v0/item/{{ $json.kids }}.json?print=pretty\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"184abccf-5838-49bf-9922-e0300c6b145e\",\n \"name\": \"HN API: Get Main Post\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1260,\n -220\n ],\n \"parameters\": {\n \"url\": \"=https://hacker-news.firebaseio.com/v0/item/{{ $json.storyId }}.json?print=pretty\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"387f7084-58fa-4643-9351-73c870d3f028\",\n \"connections\": {\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Get relevant data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clean text\": {\n \"main\": [\n [\n {\n \"node\": \"Limit for testing (optional)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract text\": {\n \"main\": [\n [\n {\n \"node\": \"Clean text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get latest post\": {\n \"main\": [\n [\n {\n \"node\": \"HN API: Get Main Post\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get relevant data\": {\n \"main\": [\n [\n {\n \"node\": \"Get latest post\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Trun into structured data\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HN API: Get Main Post\": {\n \"main\": [\n [\n {\n \"node\": \"Split out children (jobs)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Trun into structured data\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split out children (jobs)\": {\n \"main\": [\n [\n {\n \"node\": \"HI API: Get the individual job post\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Trun into structured data\": {\n \"main\": [\n [\n {\n \"node\": \"Write results to airtable\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit for testing (optional)\": {\n \"main\": [\n [\n {\n \"node\": \"Trun into structured data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search for Who is hiring posts\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Search for Who is hiring posts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HI API: Get the individual job post\": {\n \"main\": [\n [\n {\n \"node\": \"Extract text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "HN Who is Hiring Scrape", "node_count": 20, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 48\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.s3, n8n-nodes-base.dropbox, n8n-nodes-base.set, n8n-nodes-base.hackerNews, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.toolHttpRequest, n8n-nodes-base.linkedIn\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"744G7emgZe0pXaPB\",\n \"meta\": {\n \"instanceId\": \"d868e3d040e7bda892c81b17cf446053ea25d2556fcef89cbe19dd61a3e876e9\"\n },\n \"name\": \"Hacker News to Video Template - AlexK1919\",\n \"tags\": [\n {\n \"id\": \"04PL2irdWYmF2Dg3\",\n \"name\": \"RunwayML\",\n \"createdAt\": \"2024-11-15T05:55:30.783Z\",\n \"updatedAt\": \"2024-11-15T05:55:30.783Z\"\n },\n {\n \"id\": \"yrY6updwSCXMsT0z\",\n \"name\": \"Video\",\n \"createdAt\": \"2024-11-15T05:55:34.333Z\",\n \"updatedAt\": \"2024-11-15T05:55:34.333Z\"\n },\n {\n \"id\": \"QsH2EXuw2e7YCv0K\",\n \"name\": \"OpenAI\",\n \"createdAt\": \"2024-11-15T04:05:20.872Z\",\n \"updatedAt\": \"2024-11-15T04:05:20.872Z\"\n },\n {\n \"id\": \"lvPj9rYRsKOHCi4J\",\n \"name\": \"Creatomate\",\n \"createdAt\": \"2024-11-19T15:59:16.134Z\",\n \"updatedAt\": \"2024-11-19T15:59:16.134Z\"\n },\n {\n \"id\": \"9LXACqpQLNtrM6or\",\n \"name\": \"Leonardo\",\n \"createdAt\": \"2024-11-19T15:59:21.368Z\",\n \"updatedAt\": \"2024-11-19T15:59:21.368Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"c777c41b-842d-4504-a1a0-ccbb034a0fdd\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -320,\n 300\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"74fafd7c-55a4-46ec-b4a8-33d46f2b5b54\",\n \"name\": \"Hacker News\",\n \"type\": \"n8n-nodes-base.hackerNews\",\n \"position\": [\n -20,\n 300\n ],\n \"parameters\": {\n \"resource\": \"all\",\n \"additionalFields\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9cd87fd2-6a38-463a-a22e-e0c34910818f\",\n \"name\": \"Loop Over Items\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n 440,\n 300\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"611b24cd-558b-4025-a0a8-ea355ba61988\",\n \"name\": \"OpenAI Chat Model3\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 720,\n 580\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f814682c-cf6f-49a8-8ea0-48fbc64a3ebe\",\n \"name\": \"HTTP Request1\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolHttpRequest\",\n \"position\": [\n 900,\n 580\n ],\n \"parameters\": {\n \"url\": \"={{ $json.url }}\",\n \"toolDescription\": \"grab the article for the ai agent to use\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"2a4bcf69-23f0-440d-a3b0-c8261e153c62\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1080,\n 580\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n\\t\\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n\\t\\t\\\"summary\\\": {\\n\\t\\t\\t\\\"type\\\": \\\"string\\\"\\n\\t\\t},\\n\\t\\t\\\"related\\\": {\\n\\t\\t\\t\\\"type\\\": \\\"string\\\"\\n\\t\\t},\\n \\\"image urls\\\": {\\n\\t\\t\\t\\\"type\\\": \\\"string\\\"\\n }\\n\\t}\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"83c3b8f0-8d67-48a2-a5ce-b777ea1d7b32\",\n \"name\": \"Upload to Minio\",\n \"type\": \"n8n-nodes-base.s3\",\n \"position\": [\n 4240,\n 1080\n ],\n \"parameters\": {\n \"operation\": \"upload\",\n \"bucketName\": \"=\",\n \"additionalFields\": {\n \"grantRead\": true,\n \"parentFolderKey\": \"=\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"05b972ff-ccab-415b-8787-aafabb3b7292\",\n \"name\": \"News1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 320\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ec8013d5-84b5-43c8-abcb-6986ef15939d\",\n \"name\": \"property_name\",\n \"type\": \"string\",\n \"value\": \"={{ $json.message.content['Article Title'] }}\"\n },\n {\n \"id\": \"4d91c4fc-12a2-4fe2-a58e-02284314e1de\",\n \"name\": \"property_text\",\n \"type\": \"string\",\n \"value\": \"={{ $json.message.content['Article Blurb'] }}\"\n },\n {\n \"id\": \"cad2b795-8b71-415f-a100-700d9ec62bbd\",\n \"name\": \"property_image_url\",\n \"type\": \"string\",\n \"value\": \"={{ $('If Topic').item.json.output['image urls'] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d175d366-e672-4452-b78e-a06336ef242b\",\n \"name\": \"Leo - Improve Prompt\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2720,\n 100\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/prompt/improve\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"prompt\\\": \\\"{{ $('Article Prep').item.json.message.content['Image Prompt 1'] }}\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d8da7879-1a67-4da1-86db-f70e50b4e9da\",\n \"name\": \"Leo - Get imageId\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3320,\n 100\n ],\n \"parameters\": {\n \"url\": \"=https://cloud.leonardo.ai/api/rest/v1/generations/{{ $json.body.sdGenerationJob.generationId }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"content-type\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"faf80246-3b1a-49c6-a277-0152428e46e1\",\n \"name\": \"Runway - Create Video\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2520,\n 300\n ],\n \"parameters\": {\n \"url\": \"https://api.dev.runwayml.com/v1/image_to_video\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"promptImage\",\n \"value\": \"={{ $json.body.generations_by_pk.generated_images[0].url }}\"\n },\n {\n \"name\": \"promptText\",\n \"value\": \"string\"\n },\n {\n \"name\": \"model\",\n \"value\": \"gen3a_turbo\"\n }\n ]\n },\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e91c1f01-7870-4063-9557-24a6ba1d3db3\",\n \"name\": \"Runway - Get Video\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 300\n ],\n \"parameters\": {\n \"url\": \"=https://api.dev.runwayml.com/v1/tasks/{{ $json.id }}\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"41ee2665-e1aa-4d48-ade6-e37af568f211\",\n \"name\": \"Wait2\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2720,\n 300\n ],\n \"webhookId\": \"ddca5833-a40b-404a-9140-686cd4fa26cb\",\n \"parameters\": {\n \"unit\": \"minutes\",\n \"amount\": 3\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"091e9e07-89ba-4fe3-9fc5-278fc333dbff\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -160,\n -40\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 341,\n \"height\": 951,\n \"content\": \"# Choose your data source \\n## This can be swapped for any other data source of your choosing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9660a593-9966-4ebe-bfd7-f884dc185d56\",\n \"name\": \"If Topic\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1100,\n 320\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"56219de5-244d-4b7f-a511-f3061572cf93\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.output.related }}\",\n \"rightValue\": \"yes\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"e47140ac-20cc-417b-a6cd-30f780dc8289\",\n \"name\": \"Get Image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1500,\n 320\n ],\n \"parameters\": {\n \"url\": \"={{ $('Article Analysis').first().json.output['image urls'] }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"26f80f71-2c3a-46fe-a960-21cdbc18ce34\",\n \"name\": \"Prompt Settings1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2520,\n 100\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"56c8f20d-d9d9-4be7-ac2a-38df6ffdd722\",\n \"name\": \"model\",\n \"type\": \"string\",\n \"value\": \"6b645e3a-d64f-4341-a6d8-7a3690fbf042\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ce697f6f-f8fc-4ba7-b776-17bbc2e870b7\",\n \"name\": \"Leo - Generate Image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 100\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/generations\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"alchemy\\\": true,\\n \\\"width\\\": 1024,\\n \\\"height\\\": 768,\\n \\\"modelId\\\": \\\"6b645e3a-d64f-4341-a6d8-7a3690fbf042\\\",\\n \\\"num_images\\\": 1,\\n \\\"presetStyle\\\": \\\"MONOCHROME\\\",\\n \\\"prompt\\\": \\\"{{ $json.body.promptGeneration.prompt }}; Use the rule of thirds, leading lines, & balance. DO NOT INCLUDE ANY WORDS OR LABELS.\\\",\\n \\\"guidance_scale\\\": 7,\\n \\\"highResolution\\\": true,\\n \\\"promptMagic\\\": false,\\n \\\"promptMagicStrength\\\": 0.5,\\n \\\"promptMagicVersion\\\": \\\"v3\\\",\\n \\\"public\\\": false,\\n \\\"ultra\\\": false,\\n \\\"photoReal\\\": false,\\n \\\"negative_prompt\\\": \\\"\\\"\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e2067fe5-3fae-4f97-97c0-879967efd9b8\",\n \"name\": \"Wait1\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3120,\n 100\n ],\n \"webhookId\": \"256c3814-6a52-4eb1-969a-30f9f3b8e04e\",\n \"parameters\": {\n \"amount\": 30\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"f0ba57a5-1d27-4c75-a422-4bc0e2cead9d\",\n \"name\": \"Limit\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 240,\n 300\n ],\n \"parameters\": {\n \"keep\": \"lastItems\",\n \"maxItems\": 50\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e01152aa-961b-4e33-a1e3-186d47d81c55\",\n \"name\": \"Image Analysis\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1300,\n 320\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {\n \"detail\": \"auto\"\n },\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $json.output['image urls'] }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ysxujEYFiY5ozRTS\",\n \"name\": \"AlexK OpenAi Key\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"ab346129-c3d5-4f51-af5e-5d63cd154981\",\n \"name\": \"Wait3\",\n \"type\": \"n8n-nodes-base.wait\",\n \"disabled\": true,\n \"position\": [\n 3080,\n 1020\n ],\n \"webhookId\": \"6e4a0b8d-6c31-4a98-8ec3-2509aa2087e8\",\n \"parameters\": {\n \"unit\": \"minutes\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"872c35a3-bdd5-4eec-9bac-0959f3ff78e7\",\n \"name\": \"Article Analysis\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 740,\n 300\n ],\n \"parameters\": {\n \"text\": \"=Can you tell me if the article at {{ $json.url }} is related to automation or ai? \\n\\nthen, create a 250 word summary of the article\\n\\nAlso, list any image url's related to the article content from the url. Limit to 1 image url.\",\n \"options\": {\n \"systemMessage\": \"You are a helpful assistant in summarizing and identifying articles related to automation and ai. \\nOutput the results as:\\nsummary: \\nrelated: yes or no\\nimage urls: \"\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"31c3a90e-10ee-4217-9b08-ff57bf17ea10\",\n \"name\": \"Dropbox\",\n \"type\": \"n8n-nodes-base.dropbox\",\n \"position\": [\n 3640,\n 1080\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"22ccd0a0-f7f6-40ca-bd09-40ed4a7fcde1\",\n \"name\": \"Google Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n 3840,\n 1080\n ],\n \"parameters\": {\n \"fileId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"\"\n },\n \"options\": {},\n \"operation\": \"update\"\n },\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"m8K1mbAUn7yuiEwl\",\n \"name\": \"AlexK1919 Google Drive account\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"ea75931d-c1ee-4139-9bdc-7901056ba016\",\n \"name\": \"Microsoft OneDrive\",\n \"type\": \"n8n-nodes-base.microsoftOneDrive\",\n \"position\": [\n 4040,\n 1080\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"38888521-3087-4e0a-81d6-cf4b9a5dd3dd\",\n \"name\": \"YouTube\",\n \"type\": \"n8n-nodes-base.youTube\",\n \"position\": [\n 3640,\n 1500\n ],\n \"parameters\": {\n \"options\": {},\n \"resource\": \"video\",\n \"operation\": \"upload\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"55f3decc-f952-4d2a-804d-2aec44fb2755\",\n \"name\": \"X\",\n \"type\": \"n8n-nodes-base.twitter\",\n \"position\": [\n 3840,\n 1500\n ],\n \"parameters\": {\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"54c8b762-444d-4790-97a9-a2f84518492f\",\n \"name\": \"Instagram\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 4240,\n 1500\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"90040f15-95c0-4ebb-818f-dde508eb0689\",\n \"name\": \"LinkedIn\",\n \"type\": \"n8n-nodes-base.linkedIn\",\n \"position\": [\n 4040,\n 1500\n ],\n \"parameters\": {\n \"additionalFields\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"691eb779-5fae-4f65-89eb-b1b8e5488809\",\n \"name\": \"Leo - Improve Prompt2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2720,\n 500\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/prompt/improve\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"prompt\\\": \\\"{{ $('Article Prep').item.json.message.content['Image Prompt 2'] }}\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"076a745a-055b-459c-8af9-fa7b6740dc6f\",\n \"name\": \"Wait4\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2720,\n 700\n ],\n \"webhookId\": \"89b31515-b403-4644-a2c1-970e5e774008\",\n \"parameters\": {\n \"unit\": \"minutes\",\n \"amount\": 3\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"adc2c993-3f89-40df-96fc-eb3ff5eafb1c\",\n \"name\": \"Wait6\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3120,\n 500\n ],\n \"webhookId\": \"2efb873f-bcbd-41d9-99da-b2b57ef5ad93\",\n \"parameters\": {\n \"amount\": 30\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"156f5735-bc20-46a9-871c-143b0772ca45\",\n \"name\": \"Leo - Generate Image2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 500\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/generations\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"alchemy\\\": true,\\n \\\"width\\\": 1024,\\n \\\"height\\\": 768,\\n \\\"modelId\\\": \\\"6b645e3a-d64f-4341-a6d8-7a3690fbf042\\\",\\n \\\"num_images\\\": 1,\\n \\\"presetStyle\\\": \\\"MONOCHROME\\\",\\n \\\"prompt\\\": \\\"{{ $json.body.promptGeneration.prompt }}; Use the rule of thirds, leading lines, & balance. DO NOT INCLUDE ANY WORDS OR LABELS.\\\",\\n \\\"guidance_scale\\\": 7,\\n \\\"highResolution\\\": true,\\n \\\"promptMagic\\\": false,\\n \\\"promptMagicStrength\\\": 0.5,\\n \\\"promptMagicVersion\\\": \\\"v3\\\",\\n \\\"public\\\": false,\\n \\\"ultra\\\": false,\\n \\\"photoReal\\\": false,\\n \\\"negative_prompt\\\": \\\"\\\"\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4f270fa8-4da2-44f0-927f-3509fd9f8f7d\",\n \"name\": \"Leo - Get imageId2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3320,\n 500\n ],\n \"parameters\": {\n \"url\": \"=https://cloud.leonardo.ai/api/rest/v1/generations/{{ $json.body.sdGenerationJob.generationId }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"content-type\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"49c0e7ba-bf9c-4819-b479-61aa099ab9ab\",\n \"name\": \"Runway - Create Video2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2520,\n 700\n ],\n \"parameters\": {\n \"url\": \"https://api.dev.runwayml.com/v1/image_to_video\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"promptImage\",\n \"value\": \"={{ $json.body.generations_by_pk.generated_images[0].url }}\"\n },\n {\n \"name\": \"promptText\",\n \"value\": \"string\"\n },\n {\n \"name\": \"model\",\n \"value\": \"gen3a_turbo\"\n }\n ]\n },\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d03eb190-5fc0-4b7e-ad65-88ece3ab833d\",\n \"name\": \"Runway - Get Video2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 700\n ],\n \"parameters\": {\n \"url\": \"=https://api.dev.runwayml.com/v1/tasks/{{ $json.id }}\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"0072563d-b87d-47c5-80fd-ed3c051b3287\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3580,\n 940\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 882,\n \"height\": 372,\n \"content\": \"# Upload Assets\\nYou can extend this workflow further by uploading the generated assets to your storage option of choice.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a0b2377e-57ea-47e9-83c9-3e58372610e5\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3580,\n 1360\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 882,\n \"height\": 372,\n \"content\": \"# Post to Social Media\\nYou can extend this workflow further by posting the generated assets to social media.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"708fe6a0-4899-462b-9a08-fadea7c7e195\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n -40\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 1114,\n \"height\": 943,\n \"content\": \"# Generate Images and Videos\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5bbb6552-ec3a-42ea-a911-993f67a6c8dc\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n 940\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 1114,\n \"height\": 372,\n \"content\": \"# Stitch it all together\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"25f4cc09-fbff-4c10-b706-30df5840b794\",\n \"name\": \"Cre - Generate Video1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2880,\n 1020\n ],\n \"parameters\": {\n \"url\": \"https://api.creatomate.com/v1/renders\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"max_width\\\": 480,\\n \\\"template_id\\\": \\\"enterTemplateID\\\",\\n \\\"modifications\\\": {\\n \\\"Scenes.elements\\\": [\\n {\\n \\\"name\\\": \\\"Intro Comp\\\",\\n \\\"type\\\": \\\"composition\\\",\\n \\\"track\\\": 1,\\n \\\"elements\\\": [\\n {\\n \\\"name\\\": \\\"Image-1\\\",\\n \\\"type\\\": \\\"image\\\",\\n \\\"source\\\": \\\"{{ $('Leo - Get imageId').item.json.body.generations_by_pk.generated_images[0].url }}\\\"\\n },\\n {\\n \\\"name\\\": \\\"Subtitles-1\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"transcript_source\\\": \\\"Voiceover-1\\\",\\n \\\"width\\\": \\\"86.66%\\\",\\n \\\"height\\\": \\\"37.71%\\\",\\n \\\"x_alignment\\\": \\\"50%\\\",\\n \\\"y_alignment\\\": \\\"50%\\\",\\n \\\"fill_color\\\": \\\"#ffffff\\\",\\n \\\"stroke_color\\\": \\\"#333333\\\",\\n \\\"stroke_width\\\": \\\"1.05 vmin\\\",\\n \\\"font_family\\\": \\\"Inter\\\",\\n \\\"font_weight\\\": \\\"700\\\",\\n \\\"font_size\\\": \\\"8 vmin\\\",\\n \\\"background_color\\\": \\\"rgba(255,255,255,0.2)\\\",\\n \\\"background_x_padding\\\": \\\"26%\\\",\\n \\\"background_y_padding\\\": \\\"7%\\\",\\n \\\"background_border_radius\\\": \\\"28%\\\",\\n \\\"transcript_effect\\\": \\\"highlight\\\",\\n \\\"transcript_color\\\": \\\"#ff5900\\\"\\n },\\n {\\n \\\"name\\\": \\\"Voiceover-1\\\",\\n \\\"type\\\": \\\"audio\\\",\\n \\\"source\\\": \\\"{{ $('News1').item.json.property_name }}\\\",\\n \\\"provider\\\": \\\"openai model=tts-1 voice=onyx\\\"\\n }\\n ]\\n },\\n {\\n \\\"name\\\": \\\"Auto Scene Comp\\\",\\n \\\"type\\\": \\\"composition\\\",\\n \\\"track\\\": 1,\\n \\\"elements\\\": [\\n {\\n \\\"name\\\": \\\"Video-2\\\",\\n \\\"type\\\": \\\"video\\\",\\n \\\"source\\\": \\\"{{ $('Runway - Get Video').first().json.output[0] }}\\\",\\n \\\"loop\\\": true\\n },\\n {\\n \\\"name\\\": \\\"Subtitles-2\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"transcript_source\\\": \\\"Voiceover-2\\\",\\n \\\"y\\\": \\\"78.2173%\\\",\\n \\\"width\\\": \\\"86.66%\\\",\\n \\\"height\\\": \\\"37.71%\\\",\\n \\\"x_alignment\\\": \\\"50%\\\",\\n \\\"y_alignment\\\": \\\"50%\\\",\\n \\\"fill_color\\\": \\\"#ffffff\\\",\\n \\\"stroke_color\\\": \\\"#333333\\\",\\n \\\"stroke_width\\\": \\\"1.05 vmin\\\",\\n \\\"font_family\\\": \\\"Inter\\\",\\n \\\"font_weight\\\": \\\"700\\\",\\n \\\"font_size\\\": \\\"8 vmin\\\",\\n \\\"background_color\\\": \\\"rgba(255,255,255,0.2)\\\",\\n \\\"background_x_padding\\\": \\\"26%\\\",\\n \\\"background_y_padding\\\": \\\"7%\\\",\\n \\\"background_border_radius\\\": \\\"28%\\\",\\n \\\"transcript_effect\\\": \\\"highlight\\\",\\n \\\"transcript_color\\\": \\\"#ff5900\\\"\\n },\\n {\\n \\\"name\\\": \\\"Voiceover-2\\\",\\n \\\"type\\\": \\\"audio\\\",\\n \\\"source\\\": \\\"{{ $('Article Prep').item.json.message.content['Summary Blurb 1'] }}\\\",\\n \\\"provider\\\": \\\"openai model=tts-1 voice=onyx\\\"\\n }\\n ]\\n },\\n {\\n \\\"name\\\": \\\"Auto Scene Comp\\\",\\n \\\"type\\\": \\\"composition\\\",\\n \\\"track\\\": 1,\\n \\\"elements\\\": [\\n {\\n \\\"name\\\": \\\"Video-3\\\",\\n \\\"type\\\": \\\"video\\\",\\n \\\"source\\\": \\\"{{ $('Runway - Get Video2').first().json.output[0] }}\\\",\\n \\\"loop\\\": true\\n },\\n {\\n \\\"name\\\": \\\"Subtitles-3\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"transcript_source\\\": \\\"Voiceover-3\\\",\\n \\\"y\\\": \\\"78.2173%\\\",\\n \\\"width\\\": \\\"86.66%\\\",\\n \\\"height\\\": \\\"37.71%\\\",\\n \\\"x_alignment\\\": \\\"50%\\\",\\n \\\"y_alignment\\\": \\\"50%\\\",\\n \\\"fill_color\\\": \\\"#ffffff\\\",\\n \\\"stroke_color\\\": \\\"#333333\\\",\\n \\\"stroke_width\\\": \\\"1.05 vmin\\\",\\n \\\"font_family\\\": \\\"Inter\\\",\\n \\\"font_weight\\\": \\\"700\\\",\\n \\\"font_size\\\": \\\"8 vmin\\\",\\n \\\"background_color\\\": \\\"rgba(255,89,0,0.5)\\\",\\n \\\"background_x_padding\\\": \\\"26%\\\",\\n \\\"background_y_padding\\\": \\\"7%\\\",\\n \\\"background_border_radius\\\": \\\"28%\\\",\\n \\\"transcript_effect\\\": \\\"highlight\\\",\\n \\\"transcript_color\\\": \\\"#ff0040\\\"\\n },\\n {\\n \\\"name\\\": \\\"Voiceover-3\\\",\\n \\\"type\\\": \\\"audio\\\",\\n \\\"source\\\": \\\"{{ $('Article Prep').item.json.message.content['Summary Blurb 2'] }}\\\",\\n \\\"provider\\\": \\\"openai model=tts-1 voice=onyx\\\"\\n }\\n ]\\n }\\n ]\\n }\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\"\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"7093de7b-a4e3-4363-8038-1002f7b20fbc\",\n \"name\": \"Cre - Get Video\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3280,\n 1020\n ],\n \"parameters\": {\n \"url\": \"=https://api.creatomate.com/v1/renders/{{ $json.body.body[0].id }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\"\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"a57b719f-b299-431e-9c85-fa333e38b6a7\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 660,\n -40\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 1033,\n \"height\": 951,\n \"content\": \"# Article Analysis - Is it the right topic?\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"60b879a0-8b7f-40f1-ae70-ac94e4675b38\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n -40\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 630,\n \"height\": 947,\n \"content\": \"# Prepare the article for content generation\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afaf8437-ee52-434b-a267-8dbaff0e1922\",\n \"name\": \"Article Prep\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1820,\n 320\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=prepare the following summary for a newsletter where the article will be 1 of several presented in the newsletter:\\n\\n{{ $('Article Analysis').first().json.output.summary }}\\n\\nMake sure the Article Blurb lenght is less than 15 words.\\n\\nThen, create 2 Summary Blurbs, making sure each is less than 15 words.\\n\\nAlso create 2 image prompts that is less than 15 words long for each Summary Blurb\"\n },\n {\n \"role\": \"system\",\n \"content\": \"Output in markdown format\\nArticle Title\\nArticle Blurb\\nSummary Blurb 1\\nSummary Blurb 2\\nArticle Image\\nImage Prompt 1\\nImage Prompt 2\"\n }\n ]\n },\n \"jsonOutput\": true\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ysxujEYFiY5ozRTS\",\n \"name\": \"AlexK OpenAi Key\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"e7c95d56-86e1-4456-a6d3-9c8b9fc3a53c\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -620,\n -40\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 252,\n \"height\": 946,\n \"content\": \"# AlexK1919 \\n\\n\\n#### I’m Alex Kim, an AI-Native Workflow Automation Architect Building Solutions to Optimize your Personal and Professional Life.\\n\\n### Workflow Overview Video\\nhttps://youtu.be/XaKybLDUlLk\\n\\n### About Me\\nhttps://beacons.ai/alexk1919\\n\\n### Product Used \\n[Leonardo.ai](https://leonardo.ai)\\n[RunwayML](https://runwayml.com/)\\n[Creatomate](https://creatomate.com/)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"32e2803e-bf7c-4da4-a4ae-c9b6fa5ae226\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3280,\n 1180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 180,\n \"height\": 100,\n \"content\": \"Don't forget to connect this last node to the loop to process additional items\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c7ab1ecd-50cb-4e4b-b2f7-aade804bbd63\",\n \"connections\": {\n \"X\": {\n \"main\": [\n [\n {\n \"node\": \"LinkedIn\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"News1\": {\n \"main\": [\n [\n {\n \"node\": \"Prompt Settings1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Get imageId\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait2\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Get Video\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait3\": {\n \"main\": [\n [\n {\n \"node\": \"Cre - Get Video\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait4\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Get Video2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait6\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Get imageId2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Dropbox\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"YouTube\": {\n \"main\": [\n [\n {\n \"node\": \"X\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Topic\": {\n \"main\": [\n [\n {\n \"node\": \"Image Analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LinkedIn\": {\n \"main\": [\n [\n {\n \"node\": \"Instagram\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Image\": {\n \"main\": [\n [\n {\n \"node\": \"Article Prep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Hacker News\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Article Prep\": {\n \"main\": [\n [\n {\n \"node\": \"News1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Microsoft OneDrive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image Analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Get Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Article Analysis\": {\n \"main\": [\n [\n {\n \"node\": \"If Topic\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prompt Settings1\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Improve Prompt\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Get imageId\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Create Video\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Get imageId2\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Create Video2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Microsoft OneDrive\": {\n \"main\": [\n [\n {\n \"node\": \"Upload to Minio\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model3\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Get Video\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Improve Prompt2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Get Video2\": {\n \"main\": [\n [\n {\n \"node\": \"Cre - Generate Video1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Generate Image\": {\n \"main\": [\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Improve Prompt\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Generate Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Cre - Generate Video1\": {\n \"main\": [\n [\n {\n \"node\": \"Wait3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Generate Image2\": {\n \"main\": [\n [\n {\n \"node\": \"Wait6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Improve Prompt2\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Generate Image2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Create Video\": {\n \"main\": [\n [\n {\n \"node\": \"Wait2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Create Video2\": {\n \"main\": [\n [\n {\n \"node\": \"Wait4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Hacker News\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Hacker News to Video Template - AlexK1919", "node_count": 48, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for intelligent web query and semantic re ranking flow", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Webhooks\n\n**Key Components**:\n- Total Nodes: 20\n- Node Types: @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.dateTime, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.code, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.outputParserAutofixing\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"wa2uEnSIowqSrHoY\",\n \"meta\": {\n \"instanceId\": \"cca06617664f52c5a019ea575691fdbce675dd95dc0452af5f13dbe76d615b69\"\n },\n \"name\": \"Intelligent Web Query and Semantic Re-Ranking Flow\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"8e7dc5cb-6822-4ef6-9e5a-2b350a1526bf\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -640,\n -620\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 1172,\n \"height\": 970,\n \"content\": \"\\n## Step 1. Set Up a Free Brave Web Search Query API Key\\n\\nTo attain the free web search API tier from Brave, follow these steps:\\n\\n1. Visit api.search.brave.com\\n2. Create an account\\n3. Subscribe to the free plan (no charge)\\n4. Navigate to the API Keys section\\n5. Generate an API key. For the subscription type, choose \\\"Free\\\".\\n6. Go to the \\\"Query\\\" Nodes and change the \\\"X-Subscription-Token\\\" value to your API Key.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5bb3e68f-7693-4d4b-b794-843f2c3535e0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1580,\n -420\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 680,\n \"height\": 360,\n \"content\": \"## If you require to change this Node to Webhook Or any Other Item:\\n\\n- In case you want to change the input type from Webhook to any other item, Make sure to go to the Query 1 and Query 1 Ranker and replace the Webhook Input to your Node's input.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f2fc02f9-a78a-4e87-be85-0032492a9f3f\",\n \"name\": \"Date & Time\",\n \"type\": \"n8n-nodes-base.dateTime\",\n \"position\": [\n -820,\n -240\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"6f18ebbd-83db-4900-bc2e-0a9f23d6e8c8\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -1340,\n -240\n ],\n \"webhookId\": \"962f1468-c80f-4c0c-8555-a0acf648ede4\",\n \"parameters\": {\n \"path\": \"962f1468-c80f-4c0c-8555-a0acf648ede4\",\n \"options\": {},\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ba5ea83e-1b47-475b-863f-269ae293729a\",\n \"name\": \"Auto-fixing Output Parser6\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserAutofixing\",\n \"position\": [\n 180,\n -140\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca426b6d-5412-4c5b-a55c-009a47c59a81\",\n \"name\": \"Auto-fixing Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserAutofixing\",\n \"position\": [\n -580,\n -140\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"501d5390-5317-4973-a3e9-b0f502399c2b\",\n \"name\": \"Structured Output Parser1\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n -460,\n -60\n ],\n \"parameters\": {\n \"jsonSchemaExample\": \"{\\n \\\"reasoning_summary\\\": \\\"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\\\",\\n \\\"final_search_query\\\": \\\"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\\\"\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"a27e75c7-0307-4d71-9266-5a56b297a6e3\",\n \"name\": \"Query-1 Combined\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -80,\n -240\n ],\n \"parameters\": {\n \"jsCode\": \"// Initialize an empty string to store all title, url, and description pairs\\nlet aggregatedOutputText = \\\"\\\";\\n\\n// Loop through all items passed to this Function node\\nfor (let item of items) {\\n // Access the JSON data from \\\"Query 1\\\" node for the current item\\n const queryData = item.json;\\n\\n // Ensure there is a \\\"web.results\\\" array to process\\n if (queryData.web?.results && Array.isArray(queryData.web.results)) {\\n // Loop through all results in the \\\"web.results\\\" array\\n for (let result of queryData.web.results) {\\n // Extract the title, url, and description for each result\\n const title = result.title || \\\"No Title\\\";\\n const url = result.url || \\\"No URL\\\";\\n const description = result.description || \\\"No Description\\\";\\n\\n // Append the values to the aggregated string\\n aggregatedOutputText += `Title: ${title}\\\\nURL: ${url}\\\\nDescription: ${description}\\\\n\\\\n`;\\n }\\n } else {\\n // If no results array, handle gracefully\\n aggregatedOutputText += \\\"No results found for this item.\\\\n\\\\n\\\";\\n }\\n}\\n\\n// Trim the final string to remove any trailing newline and whitespace\\naggregatedOutputText = aggregatedOutputText.trim();\\n\\n// Return a single item containing the aggregated output as a string\\nreturn [\\n {\\n json: {\\n aggregated_text: aggregatedOutputText\\n }\\n }\\n];\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"acbdbe94-b5a7-4ec9-9fc8-c3ab147f42fa\",\n \"name\": \"Respond to Webhook\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 640,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"respondWith\": \"text\",\n \"responseBody\": \"={\\n \\\"Highest_RANKEDURL_1\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_2\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_3\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_4\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_5\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_6\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_7\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_8\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_9\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_10\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['description'] }}\\\"\\n },\\n \\\"Information_extracted\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Information_extracted'] }}\\\"\\n}\\n\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"b8b6ae73-586a-406f-9641-57e2625f800c\",\n \"name\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 100,\n -240\n ],\n \"parameters\": {\n \"text\": \"=\\n**Objective:**\\n\\nFor the user's query, web search results are provided. Your tasks are:\\n\\n1. **Rank the links** based on how well they match the user's query.\\n2. **Extract relevant information** from the descriptions provided. If no relevant information is found, return \\\"N/A\\\".\\n\\n---\\n\\n**Task:**\\n\\n**Step 1: Understand the User's Intent**\\n\\n- Determine what the user is truly and technically looking for.\\n- The user's request query is: \\\"{{ $('Webhook').item.json.query['Research Question'] }}\\\"\\n- The serach results below, however their performance seem, have been based on this query \\\"{{ $item(\\\"0\\\").$node[\\\"Semantic Search -Query Maker\\\"].json[\\\"output\\\"][\\\"final_search_query\\\"] }}\\\". If the result are not satisfactory or missing due to bad query making, you should note that as well for the neww query making.\\n- To nesure being time aware , realize todays date is: \\\"{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}\\\"\\n\\n- Follow a three-step chain of thought to comprehend the user's needs. Think out loud.\\n\\n---\\n\\n**Step 2: Rank the Links**\\n\\n- From the URLs and description snippets provided, **rank the top 10 websites** that are most likely to contain the required information.\\n- Use the titles, descriptions, and sources to inform your ranking.\\n\\n**Links, Titles, and Descriptions:**\\n\\n{{ $json.aggregated_text }}\\n\\n---\\n\\nThis list completes the structure up to 20 results as you requested. Let me know if there’s anything more you need!\\n\\n---\\n\\n**Step 3: Analyze and Create a Follow-up Query**\\n\\n- Recognize that for the user's request:\\n\\n `\\\"{{ $('Webhook').item.json.query['Research Question'] }}\\\"`\\n\\n The results provided are based on the assistant's generated search query:\\n\\n `\\\"{{ $item(\\\"0\\\").$node[\\\"Semantic Search -Query Maker\\\"].json[\\\"output\\\"][\\\"final_search_query\\\"] }}\\\"`\\n\\n- Analyze and revise any issues or new insights through multi-step thinking to create a follow-up query.\\n\\n**Indications and Priorities:**\\n\\n1. **No Results Received:** If no search items are shared, the search query may have been ineffective (e.g., too specific, incorrect parameters).\\n2. **Insufficient or Unpromising Results:** If fewer than 20 but more than 5 results are provided, and none seem promising, the search query may need refinement.\\n3. **Successful Results with Potential Follow-up:** If none of the above issues occurred and the search results provide answers or suggest a follow-up, create a new query. This could be a new topic, a deep dive, or a parallel factor that offers additional benefits.\\n\\n- Provide your chain of thought that connects the user's request to the actual information.\\n\\n- Deliver precise, detailed, and value-oriented information relevant to the user's query.\\n\\n**Step 4: Query making notes and examples**: \\n\\nThe queries must not be long tails , as they result in 0 websearch reutrns. We give you some examples of good web search queries:\\nExamples:\\n\\nUser Question: \\\"What is the current state of the U.S. economy in 2024?\\\"\\nEffective Search Query: \\\"U.S. Economy Analysis Report 2024\\\"\\n\\nUser Question: \\\"What are the recent advancements in artificial intelligence?\\\"\\nEffective Search Query: \\\"2024 Artificial Intelligence Developments\\\"\\n\\nUser Question: \\\"How is climate change affecting agriculture globally?\\\"\\nEffective Search Query: \\\"Global Impact of Climate Change on Agriculture 2024\\\"\\n\\nUser Question: \\\"What are the latest trends in cybersecurity threats?\\\"\\nEffective Search Query: \\\"Cybersecurity Threats and Trends 2024\\\"\\n\\nUser Question: \\\"What is the outlook for renewable energy investments?\\\"\\nEffective Search Query: \\\"Renewable Energy Investment Outlook 2024\\\"\\n\\n**Step 5: Query making*: \\nor query making remember as we said:\\n - **Today's Date:** \\\"{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}\\\"\\n **Search Inquiry:** \\n - **Search Topic to create the query upon it:**{{ $item(\\\"0\\\").$node[\\\"Webhook\\\"].json[\\\"query\\\"][\\\"Research Question\\\"] }}\\\"\\\"\\n\\n\\n---\\n\\n**Step 6: Output Format**\\n\\nEnsure the response is in the following JSON format:\\n\\n{\\n \\\"chain_of_thought\\\": \\\"Insert your step-by-step reasoning here.\\\",\\n \\\"Highest_RANKEDURL_1\\\": {\\n \\\"title\\\": \\\"Insert the First Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the First Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the First Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_2\\\": {\\n \\\"title\\\": \\\"Insert the Second Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Second Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Second Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_3\\\": {\\n \\\"title\\\": \\\"Insert the Third Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Third Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Third Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_4\\\": {\\n \\\"title\\\": \\\"Insert the Fourth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fourth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fourth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_5\\\": {\\n \\\"title\\\": \\\"Insert the Fifth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fifth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fifth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_6\\\": {\\n \\\"title\\\": \\\"Insert the Sixth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Sixth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Sixth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_7\\\": {\\n \\\"title\\\": \\\"Insert the Seventh Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Seventh Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Seventh Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_8\\\": {\\n \\\"title\\\": \\\"Insert the Eighth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Eighth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Eighth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_9\\\": {\\n \\\"title\\\": \\\"Insert the Ninth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Ninth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Ninth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_10\\\": {\\n \\\"title\\\": \\\"Insert the Tenth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Tenth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Tenth Ranked URL's Description here.\\\"\\n },\\n \\\"Information_extracted\\\": \\\"Insert all extracted information relevant to the user's query or 'N/A' if none.\\\"\\n}\\n\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=\\nYou are an expert information retrieval and critical evaluation assistant designed to process, rank, and extract high-relevance content from web search results for complex user queries. You must provide value-oriented insights while refining searches based on relevance and context sensitivity. \\n\\n**Your Process and Priorities:**\\n\\n#### 1. **Determine the User's Technical Intent**\\n - Interpret the user's core question provided as `{{ $item(\\\"0\\\").$node[\\\"Webhook\\\"].json[\\\"query\\\"][\\\"Research Question\\\"] }}`, discerning underlying objectives and specialized needs.\\n - Recognize that the search results may have been generated from a **secondary query**: `{{ $item(\\\"0\\\").$node[\\\"Semantic Search -Query Maker\\\"].json[\\\"output\\\"][\\\"final_search_query\\\"] }}`. \\n - Judge the adequacy of this generated query. If it does not meet the user’s objectives, highlight the need for query refinement and prepare to adapt the approach.\\n - Stay mindful of the date context, using `{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}` to assess the freshness of content or time-sensitive relevance.\\n\\n#### 2. **Rank Results Based on Analytical Relevance**\\n - From the search results provided, **rank the top 3 URLs** that most closely align with the user’s intent and technical needs.\\n - Use multi-dimensional analysis to assess how each link’s title, description, and source match the user’s objective.\\n - Prioritize results based on credibility, relevance, and their potential to add depth to the user’s inquiry.\\n - Your goal is to select the highest-value links, disregarding results that offer superficial, off-topic, or outdated information.\\n\\n#### 3. **Extract Key Information**\\n - For each of the top 3 ranked results, extract insights and details from the description snippets that directly address the user’s query.\\n - If no pertinent information is available in a description, record `\\\"N/A\\\"` to indicate its lack of relevance.\\n\\n#### 4. **Evaluate for Potential Query Improvement**\\n - Evaluate the relevance and coverage of search results:\\n - If fewer than 5 relevant results are present, consider that the initial query may be too narrow, specific, or otherwise misaligned.\\n - Generate a **refined query** that is adjusted to better match the user’s likely needs and produce higher-quality results.\\n - Use advanced language modifications, new keyword suggestions, or rephrasing to formulate a search query that enhances alignment with the user’s goals.\\n\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"retryOnFail\": true,\n \"typeVersion\": 1.4\n },\n {\n \"id\": \"a1ca671d-0b0c-4717-9def-93fdb965de8d\",\n \"name\": \"Query\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -240,\n -240\n ],\n \"parameters\": {\n \"url\": \"https://api.search.brave.com/res/v1/web/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"sendHeaders\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json.output.final_search_query }}\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Accept\",\n \"value\": \"application/json\"\n },\n {\n \"name\": \"Accept-Encoding\",\n \"value\": \"gzip\"\n },\n {\n \"name\": \"X-Subscription-Token\",\n \"value\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d3cc4e7c-3ead-4d38-9b51-a11cd9d7faeb\",\n \"name\": \"Webhook Call\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -180,\n 1040\n ],\n \"parameters\": {\n \"url\": \"https://primary-production-8aa4.up.railway.app/webhook-test/962f1468-c80f-4c0c-8555-a0acf648ede4\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"Research Question\",\n \"value\": \"what is the latest news in global world in politics and economy?\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6931404b-94d6-4b9d-9f0a-124012212eb5\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -640,\n 420\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 1180,\n \"height\": 840,\n \"content\": \"## Step 2. Setup the Webhook Call Node\\n\\n**Instructions for Setting Up the Webhook Call and Using It in Your Workflow**\\n\\nThis node is designed to send a **web search query** to the workflow (partly built in this chart) and return the results. Follow these steps to correctly configure and use it:\\n\\n1. **Locate the \\\"Webhook\\\" Node in the Workflow**:\\n - Navigate to the workflow above, the first item, the \\\"Webhook\\\" node.\\n - In the \\\"Webhook\\\" node, change the **Webhook URL option** from \\\"Test URL\\\" to \\\"Production URL.\\\"\\n - Copy the generated **Production URL**.\\n\\n2. **Paste the Webhook URL in the HTTP Node**:\\n - In your target workflow, locate the **HTTP Request** node.\\n - Paste the copied **Production URL** into the URL field of the HTTP Request node. This connects the two workflows.\\n\\n3. **Send the Research Request**:\\n - When sending the request to this workflow, make sure to include your web search query in the **\\\"Research Question\\\" parameter** of the HTTP Request node.\\n\\n4. **Move the Webhook Call Node**:\\n - Move this **Webhook Call Node** into the workflow where you need the research results. Ensure that it’s correctly connected and configured to send the data to the main workflow.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"01d73f91-1dd6-4b80-951c-9f944ea9d992\",\n \"name\": \"Semantic Search -Query Maker\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n -560,\n -240\n ],\n \"parameters\": {\n \"text\": \"=1. **Task:** `\\\"Your task is to develop a web search query that most effectively answers the research question given. Use meta-reasoning and multi-chain analysis to ensure a comprehensive approach.\\\"`\\n\\n2. **Structured Guidance for Chains of Thought:** \\n a. **Chain 1:** Break down the research question, identifying keywords and relevant terms. \\n b. **Chain 2:** Explore the context and potential sources, determining the types of results that would be most relevant. \\n c. **Chain 3:** Refine the query for specificity and completeness, considering how to capture nuances of the question.\\n\\n3. **Final Query Generation:** Based on the insights from the three chains, generate a single, refined search query.\\n\\n\\n4. Note, the queries must not be long tails , as they result in 0 websearch reutrns. We give you some examples of good web search queries:\\nExamples:\\n\\nUser Question: \\\"What is the current state of the U.S. economy in 2024?\\\"\\n\\nEffective Search Query: \\\"U.S. Economy Analysis Report 2024\\\"\\nUser Question: \\\"What are the recent advancements in artificial intelligence?\\\"\\n\\nEffective Search Query: \\\"2024 Artificial Intelligence Developments\\\"\\nUser Question: \\\"How is climate change affecting agriculture globally?\\\"\\n\\nEffective Search Query: \\\"Global Impact of Climate Change on Agriculture 2024\\\"\\nUser Question: \\\"What are the latest trends in cybersecurity threats?\\\"\\n\\nEffective Search Query: \\\"Cybersecurity Threats and Trends 2024\\\"\\nUser Question: \\\"What is the outlook for renewable energy investments?\\\"\\n\\nEffective Search Query: \\\"Renewable Energy Investment Outlook 2024\\\"\\n\\n5. Data Input:\\n - **Today's Date:** \\\"{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}\\\"\\n **Search Inquiry:** \\n - **Search Topic to create the query upon it:**{{ $item(\\\"0\\\").$node[\\\"Webhook\\\"].json[\\\"query\\\"][\\\"Research Question\\\"] }}\\\"\\\"\\n\\n6. Now develop the best fit web search query given the user request above under number 5\\n---\\n\\n**Output Requirements:** \\nThe Assistant’s output should be in JSON format, structured as follows:\\n\\n{\\n \\\"reasoning_summary\\\": \\\"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\\\",\\n \\\"final_search_query\\\": \\\"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\\\"\\n}\\n```\\n\\n---\\n\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"You are an advanced data and research retrieval through smart search queires via Bing and Brave websearch APIs. \"\n },\n {\n \"type\": \"HumanMessagePromptTemplate\",\n \"message\": \"1. **Task:** `\\\"Your task is to develop a web search query that most effectively answers the research question given. Use meta-reasoning and multi-chain analysis to ensure a comprehensive approach.\\\"`\\n\\n2. **Structured Guidance for Chains of Thought:** \\n a. **Chain 1:** Break down the research question, identifying keywords and relevant terms. \\n b. **Chain 2:** Explore the context and potential sources, determining the types of results that would be most relevant. \\n c. **Chain 3:** Refine the query for specificity and completeness, considering how to capture nuances of the question.\\n\\n3. **Final Query Generation:** Based on the insights from the three chains, generate a single, refined search query.\\n\\n4. Data Input:\\n - **Today's Date:** \\\"2024-11-12T10:21:33.764-05:00\\\"\\n2. **Search Inquiry:** \\n - **Search Topic to create the query upon it:** \\\"What is the latest stock Market Analysis in mid-term?\\\"\\n\\n\\n---\\n\\n**Output Requirements:** \\nThe Assistant’s output should be in JSON format, structured as follows:\\n\\n{\\n \\\"reasoning_summary\\\": \\\"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\\\",\\n \\\"final_search_query\\\": \\\"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\\\"\\n}\\n```\\n\\n---\\n\"\n },\n {\n \"type\": \"AIMessagePromptTemplate\",\n \"message\": \"Assessing query functionality\\n\\nI’m evaluating the viability of the assistant's proposed search query. The user questions if it would yield meaningful results on different search engines.\\n\\nClarifying the query\\n\\nOK, let me see. The task involves clarifying the user's needs, ensuring the response aligns with OpenAI's policies, and possibly re-evaluating and correcting any errors in the previous response.\\n\\nRefining search specifics\\n\\nI'm working through refining the search query to focus on specific terms like 'S&P 500', integrating dates such as 'November 2024', and emphasizing phrases for precision.\\n\\nSelf-reflecting on search queries\\n\\nToday, I’m thinking about how to validate search queries for accuracy and realism, ensuring they are practical and likely to yield productive results.\\n\\nAcknowledging insights\\n\\nI’m recognizing and correcting a search query to ensure it’s optimal and effectively aligned with advanced user needs, leading to a more precise output.\\n\\nCrafting a search query\\n\\nI’m crafting a search query to pinpoint the most pertinent recent mid-term stock market analyses. Starting with relevant terms and then exploring potential sources for context and relevance.\\n\\nPinpointing sources and specifics\\n\\nI'm gathering info from financial news, investment reports, and economic research institutions. I’m refining search terms like \\\"mid-term stock market analysis\\\" and \\\"market forecast\\\" to keep results current and nuanced.\\n\\nCrafting the query\\n\\nI’m finalizing the query by merging terms like 'latest' and 'stock market analysis' with 'mid-term', and considering synonyms such as 'market forecast' to refine the search for 2024.\\n\\nTweaking the search\\n\\nI adjusted the search terms to 'latest stock market mid-term outlook 2024,' removing excessive quotes for better clarity and relevance.\\n\\n\\n{\\n \\\"reasoning_summary\\\": \\\"Chain 1: Broke down the research question to identify key terms such as 'latest', 'stock market analysis', and 'mid-term'. Considered synonyms like 'mid-term outlook', 'market forecast', and included the current year '2024' for recency.\\\\n\\\\nChain 2: Explored the context where the user seeks recent analyses of the stock market with a mid-term perspective. Relevant sources would be financial news outlets, investment banks, and economic research firms. The most useful results would be up-to-date articles or reports offering mid-term forecasts.\\\\n\\\\nChain 3: Refined the query by removing unnecessary quotation marks and simplifying it to reflect how an advanced user might search. Included terms like 'latest', 'mid-term outlook', and '2024' to enhance specificity without limiting the search results unnecessarily.\\\",\\n \\\"final_search_query\\\": \\\"latest stock market mid-term outlook 2024\\\"\\n}\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.4\n },\n {\n \"id\": \"696b4f97-ad29-406b-9157-44ad9d05c9cd\",\n \"name\": \"Anthropic Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"position\": [\n 740,\n 180\n ],\n \"parameters\": {\n \"model\": \"claude-3-5-haiku-20241022\",\n \"options\": {\n \"topP\": 0.8,\n \"temperature\": 0.4,\n \"maxTokensToSample\": 4096\n }\n },\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"mVKB2CryW6bMm9Qo\",\n \"name\": \"Anthropic account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"82f25610-8b70-4aee-ad90-2616d3389f15\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 900,\n 180\n ],\n \"parameters\": {\n \"options\": {\n \"topP\": 0.7,\n \"maxTokens\": 4096,\n \"maxRetries\": 1,\n \"temperature\": 0.5\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"wQQZLwJO9A5nFu8h\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f230bdf0-4a22-4abf-96cd-47f309f0c514\",\n \"name\": \"Structured Output Parser2\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 260,\n -60\n ],\n \"parameters\": {\n \"jsonSchemaExample\": \"{\\n \\\"chain_of_thought\\\": \\\"Insert your step-by-step reasoning here.\\\",\\n \\\"Highest_RANKEDURL_1\\\": {\\n \\\"title\\\": \\\"Insert the First Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the First Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the First Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_2\\\": {\\n \\\"title\\\": \\\"Insert the Second Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Second Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Second Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_3\\\": {\\n \\\"title\\\": \\\"Insert the Third Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Third Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Third Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_4\\\": {\\n \\\"title\\\": \\\"Insert the Fourth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fourth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fourth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_5\\\": {\\n \\\"title\\\": \\\"Insert the Fifth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fifth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fifth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_6\\\": {\\n \\\"title\\\": \\\"Insert the Sixth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Sixth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Sixth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_7\\\": {\\n \\\"title\\\": \\\"Insert the Seventh Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Seventh Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Seventh Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_8\\\": {\\n \\\"title\\\": \\\"Insert the Eighth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Eighth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Eighth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_9\\\": {\\n \\\"title\\\": \\\"Insert the Ninth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Ninth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Ninth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_10\\\": {\\n \\\"title\\\": \\\"Insert the Tenth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Tenth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Tenth Ranked URL's Description here.\\\"\\n },\\n \\\"Information_extracted\\\": \\\"Insert all extracted information relevant to the user's query or 'N/A' if none.\\\"\\n}\\n\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"3421ebe5-6a86-435e-b9c6-e3dcf6dd7833\",\n \"name\": \"Parser Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n -180,\n 180\n ],\n \"parameters\": {\n \"options\": {\n \"topP\": 0.6,\n \"temperature\": 0.4,\n \"maxOutputTokens\": 4096\n },\n \"modelName\": \"models/gemini-1.5-flash-002\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"rTbWGMQGwWtjhNaA\",\n \"name\": \"Google Gemini(PaLM) Api account 4\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fd19e9f6-d8c7-45df-93d9-ecf7956b461f\",\n \"name\": \"Agent Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n -180,\n -20\n ],\n \"parameters\": {\n \"options\": {\n \"topP\": 0.6,\n \"temperature\": 0.4,\n \"safetySettings\": {\n \"values\": [\n {\n \"category\": \"HARM_CATEGORY_HARASSMENT\",\n \"threshold\": \"BLOCK_NONE\"\n },\n {\n \"category\": \"HARM_CATEGORY_HATE_SPEECH\",\n \"threshold\": \"BLOCK_NONE\"\n },\n {\n \"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\",\n \"threshold\": \"BLOCK_NONE\"\n },\n {\n \"category\": \"HARM_CATEGORY_DANGEROUS_CONTENT\",\n \"threshold\": \"BLOCK_NONE\"\n }\n ]\n },\n \"maxOutputTokens\": 4086\n },\n \"modelName\": \"models/gemini-1.5-flash-002\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"rTbWGMQGwWtjhNaA\",\n \"name\": \"Google Gemini(PaLM) Api account 4\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"156e83ff-928a-4aca-af8b-0c0fa51acd56\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 560,\n -20\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 712,\n \"height\": 370,\n \"content\": \"\\n## Customized Models to Replace\\n\\nIn case you rather to use another LLM Model to Perform the Semantic Search and Re-Ranking, These nodes below are Optimized based on the LLM Structure of OpenAI GPT4o & Anthropic Claude.\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"b824ca9d-5676-4ca5-b97d-e5113d955de2\",\n \"connections\": {\n \"Query\": {\n \"main\": [\n [\n {\n \"node\": \"Query-1 Combined\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Date & Time\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Semantic Search -Query Maker\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Date & Time\": {\n \"main\": [\n [\n {\n \"node\": \"Semantic Search -Query Maker\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parser Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Auto-fixing Output Parser6\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Auto-fixing Output Parser\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Query-1 Combined\": {\n \"main\": [\n [\n {\n \"node\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n []\n ]\n },\n \"Anthropic Chat Model\": {\n \"ai_languageModel\": [\n []\n ]\n },\n \"Auto-fixing Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Semantic Search -Query Maker\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser1\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Auto-fixing Output Parser\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser2\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Auto-fixing Output Parser6\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Auto-fixing Output Parser6\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Semantic Search -Query Maker\": {\n \"main\": [\n [\n {\n \"node\": \"Query\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Semantic Search - Result Re-Ranker\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Intelligent Web Query and Semantic Re-Ranking Flow", "node_count": 20, "category": "AI & LLM + Webhooks"}}
{"prompt": "Design a workflow using n8n-nodes-base.noOp, n8n-nodes-base.splitOut, n8n-nodes-base.emailSend to learn anything from hn get top resource recommendations from hacker news", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 10\n- Node Types: n8n-nodes-base.noOp, n8n-nodes-base.splitOut, n8n-nodes-base.emailSend, n8n-nodes-base.hackerNews, n8n-nodes-base.aggregate, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chainLlm, n8n-nodes-base.formTrigger, n8n-nodes-base.markdown, @n8n/n8n-nodes-langchain.lmChatGoogleGemini\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n4. **Actions**: n8n-nodes-base.emailSend\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"41183066-0045-4a75-ba23-42f4efcfeccc\",\n \"name\": \"Google Gemini Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n 720,\n 720\n ],\n \"parameters\": {\n \"options\": {},\n \"modelName\": \"models/gemini-1.5-flash\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"Hx1fn2jrUvojSKye\",\n \"name\": \"Google Gemini(PaLM) Api account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eb061c39-7a4d-42e7-bb42-806504731b11\",\n \"name\": \"Basic LLM Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 700,\n 560\n ],\n \"parameters\": {\n \"text\": \"=Your Task is to find the best resources to learn {{ $('GetTopicFromToLearn').item.json[\\\"I want to learn\\\"] }}. \\n\\nI have scraped the HackerNews and The following is the list of comments from HackerNews on topic about Learning {{ $('GetTopicFromToLearn').item.json[\\\"I want to learn\\\"] }}\\n\\n\\nFocus only on comments that provide any resouces or advice or insight about learning {{ $('GetTopicFromToLearn').item.json.Learn }}. Ignore all other comments that are off topic discussions.\\n\\nNow based on these comments, you need to find the top resources and list them. \\n\\nCategorize them based on resource type (course, book, article, youtube videos, lectures, etc) and also figure out the difficultiy level (beginner, intermediate, advanced, expert).\\n\\nYou don't always to have fill in these categories exactly, these are given here for reference. Use your intution to find the best categorization.\\n\\nNow based on these metrics and running a basic sentiment analysis on comments you need to figure out what the top resources are. \\n\\nRespond back in Markdown formatted text. In the following format\\n\\n**OUTPUT FORMAT**\\n\\n```\\n\\n## Top HN Recomended Resources To Learn \\n\\n### Category 1\\n\\n- **Resource 1** - One line description\\n- **Resource 2** - One line description\\n- ... \\n\\n\\n\\n### Category 2\\n\\n- **Resource 1** - One line description\\n- **Resource 2** - One line description\\n- ... \\n\\n\\n\\n...\\n```\\n\\nHere is the list of HackerNews Comments.\\n\\n{{ $json.text }}\",\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"94073fe0-d25c-421e-9c99-67b6c4f0afad\",\n \"name\": \"SearchAskHN\",\n \"type\": \"n8n-nodes-base.hackerNews\",\n \"position\": [\n -160,\n 560\n ],\n \"parameters\": {\n \"limit\": 150,\n \"resource\": \"all\",\n \"additionalFields\": {\n \"tags\": [\n \"ask_hn\"\n ],\n \"keyword\": \"={{ $json[\\\"I want to learn\\\"] }}\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eee4dfdf-53ab-42be-91ae-7b6c405df7c2\",\n \"name\": \"FindHNComments\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 260,\n 560\n ],\n \"parameters\": {\n \"url\": \"=https://hacker-news.firebaseio.com/v0/item/{{ $json.children }}.json?print=pretty\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e57d86ae-d7c1-4354-9e3c-528c76160cd9\",\n \"name\": \"CombineIntoSingleText\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 480,\n 560\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"text\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b2086d29-1de5-48f4-8c1e-affd509fb5f7\",\n \"name\": \"SplitOutChildrenIDs\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 40,\n 560\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"children\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6fe68a4b-744b-48c8-9320-d2b19e3eb92b\",\n \"name\": \"GetTopicFromToLearn\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n -340,\n 560\n ],\n \"webhookId\": \"4524d82f-86a6-4fab-ba09-1d24001e15f3\",\n \"parameters\": {\n \"options\": {\n \"path\": \"learn\",\n \"buttonLabel\": \"Submit\",\n \"respondWithOptions\": {\n \"values\": {\n \"formSubmittedText\": \"We'll shortly send you an email with top recommendations.\"\n }\n }\n },\n \"formTitle\": \"What do You want to learn ?\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"I want to learn\",\n \"placeholder\": \"Python, DevOps, Ai, or just about anything\"\n },\n {\n \"fieldType\": \"email\",\n \"fieldLabel\": \"What's your email ?\",\n \"placeholder\": \"john.doe@example.com\",\n \"requiredField\": true\n }\n ]\n },\n \"formDescription\": \"We'll find the best resources from HackerNews and send you an email\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"72fcb7f3-6706-47cc-8a79-364b325aa8ae\",\n \"name\": \"SendEmailWithTopResources\",\n \"type\": \"n8n-nodes-base.emailSend\",\n \"position\": [\n 1320,\n 560\n ],\n \"parameters\": {\n \"html\": \"=FYI, We read through {{ $('SplitOutChildrenIDs').all().length }} comments in search for the best.\\n\\n{{ $json.data }}\",\n \"options\": {},\n \"subject\": \"=Here are Top HN Recommendations for Learning {{ $('GetTopicFromToLearn').item.json[\\\"I want to learn\\\"] }}\",\n \"toEmail\": \"={{ $('GetTopicFromToLearn').item.json[\\\"What's your email ?\\\"] }}\",\n \"fromEmail\": \"allsmallnocaps@gmail.com\"\n },\n \"credentials\": {\n \"smtp\": {\n \"id\": \"knhWxmnfY16ZQwBm\",\n \"name\": \"allsamll Gmail SMTP account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"b4d50b42-9e40-46b0-a411-90210b422de3\",\n \"name\": \"Convert2HTML\",\n \"type\": \"n8n-nodes-base.markdown\",\n \"position\": [\n 1100,\n 560\n ],\n \"parameters\": {\n \"mode\": \"markdownToHtml\",\n \"options\": {},\n \"markdown\": \"={{ $json.text }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b79e867a-ea3b-4a94-9809-b5a01ee2820f\",\n \"name\": \"Finished\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 1540,\n 560\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"SearchAskHN\": {\n \"main\": [\n [\n {\n \"node\": \"SplitOutChildrenIDs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert2HTML\": {\n \"main\": [\n [\n {\n \"node\": \"SendEmailWithTopResources\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"FindHNComments\": {\n \"main\": [\n [\n {\n \"node\": \"CombineIntoSingleText\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Basic LLM Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Convert2HTML\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"GetTopicFromToLearn\": {\n \"main\": [\n [\n {\n \"node\": \"SearchAskHN\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SplitOutChildrenIDs\": {\n \"main\": [\n [\n {\n \"node\": \"FindHNComments\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"CombineIntoSingleText\": {\n \"main\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Gemini Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SendEmailWithTopResources\": {\n \"main\": [\n [\n {\n \"node\": \"Finished\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Learn Anything from HN - Get Top Resource Recommendations from Hacker News", "node_count": 10, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 19\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.code, n8n-nodes-base.markdown\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"5NAbfX550LJsfz6f\",\n \"meta\": {\n \"instanceId\": \"00493e38fecfc163cb182114bc2fab90114038eb9aad665a7a752d076920d3d5\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Make OpenAI Citation for File Retrieval RAG\",\n \"tags\": [\n {\n \"id\": \"urxRtGxxLObZWPvX\",\n \"name\": \"sample\",\n \"createdAt\": \"2024-09-13T02:43:13.014Z\",\n \"updatedAt\": \"2024-09-13T02:43:13.014Z\"\n },\n {\n \"id\": \"nMXS3c9l1WqDwWF5\",\n \"name\": \"assist\",\n \"createdAt\": \"2024-12-23T16:09:38.737Z\",\n \"updatedAt\": \"2024-12-23T16:09:38.737Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"b9033511-3421-467a-9bfa-73af01b99c4f\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 740,\n 120\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"a61dd9d3-4faa-4878-a6f3-ba8277279002\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 980,\n -320\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"2daabca5-37ec-4cad-9157-29926367e1a7\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 220,\n 320\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 840,\n \"height\": 80,\n \"content\": \"## Within N8N, there will be a chat button to test\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bf4485b1-cd94-41c8-a183-bf1b785f2761\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -440,\n -520\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 500,\n \"height\": 720,\n \"content\": \"## Make OpenAI Citation for File Retrieval RAG\\n\\n## Use case\\n\\nIn this example, we will ensure that all texts from the OpenAI assistant search for citations and sources in the vector store files. We can also format the output for Markdown or HTML tags.\\n\\nThis is necessary because the assistant sometimes generates strange characters, and we can also use dynamic references such as citations 1, 2, 3, for example.\\n\\n## What this workflow does\\n\\nIn this workflow, we will use an OpenAI assistant created within their interface, equipped with a vector store containing some files for file retrieval.\\n\\nThe assistant will perform the file search within the OpenAI infrastructure and will return the content with citations.\\n\\n- We will make an HTTP request to retrieve all the details we need to format the text output.\\n\\n## Setup\\n\\nInsert an OpenAI Key\\n\\n## How to adjust it to your needs\\n\\nAt the end of the workflow, we have a block of code that will format the output, and there we can add Markdown tags to create links. Optionally, we can transform the Markdown formatting into HTML.\\n\\n\\nby Davi Saranszky Mesquita\\nhttps://www.linkedin.com/in/mesquitadavi/\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"539a4e40-9745-4a26-aba8-2cc2b0dd6364\",\n \"name\": \"Create a simple Trigger to have the Chat button within N8N\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"notes\": \"https://www.npmjs.com/package/@n8n/chat\",\n \"position\": [\n 260,\n -520\n ],\n \"webhookId\": \"8ccaa299-6f99-427b-9356-e783893a3d0c\",\n \"parameters\": {\n \"options\": {}\n },\n \"notesInFlow\": true,\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"aa5b2951-df32-43ac-9939-83b02d818e73\",\n \"name\": \"OpenAI Assistant with Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 580,\n -520\n ],\n \"parameters\": {\n \"options\": {\n \"preserveOriginalTools\": false\n },\n \"resource\": \"assistant\",\n \"assistantId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"asst_QAfdobVCVCMJz8LmaEC7nlId\",\n \"cachedResultName\": \"Teste\"\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"UfNrqPCRlD8FD9mk\",\n \"name\": \"OpenAi Lourival\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"1817b673-6cb3-49aa-9f38-a5876eb0e6fa\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 560,\n -680\n ],\n \"parameters\": {\n \"width\": 300,\n \"content\": \"## Setup\\n\\n- Configure OpenAI Key\\n\\n### In this step, we will use an assistant created within the OpenAI platform that contains a vector store a.k.a file retrieval\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"16429226-e850-4698-b419-fd9805a03fb7\",\n \"name\": \"Get ALL Thread Content\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1260,\n -520\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json.threadId }}/messages\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"UfNrqPCRlD8FD9mk\",\n \"name\": \"OpenAi Lourival\"\n }\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"e8c88b08-5be2-4f7e-8b17-8cf804b3fe9f\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1160,\n -620\n ],\n \"parameters\": {\n \"content\": \"### Retrieving all thread content is necessary because the OpenAI tool does not retrieve all citations upon request.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0f51e09f-2782-4e2d-b797-d4d58fcabdaf\",\n \"name\": \"Split all message iterations from a thread\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 220,\n -300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"4d569993-1ce3-4b32-beaf-382feac25da9\",\n \"name\": \"Split all content from a single message\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 460,\n -300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"content\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"999e1c2b-1927-4483-aac1-6e8903f7ed25\",\n \"name\": \"Split all citations from a single message\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 700,\n -300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"text.annotations\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"98af62f5-adb0-4e07-a146-fc2f13b851ce\",\n \"name\": \"Retrieve file name from a file ID\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 220,\n 120\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/files/{{ $json.file_citation.file_id }}\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"limit\",\n \"value\": \"1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"UfNrqPCRlD8FD9mk\",\n \"name\": \"OpenAi Lourival\"\n }\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"b11f0d3d-bdc4-4845-b14b-d0b0de214f01\",\n \"name\": \"Regularize output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 480,\n 120\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2dcaafee-5037-4a97-942a-bcdd02bc2ad9\",\n \"name\": \"id\",\n \"type\": \"string\",\n \"value\": \"={{ $json.id }}\"\n },\n {\n \"id\": \"b63f967d-ceea-4aa8-98b9-91f5ab21bfe8\",\n \"name\": \"filename\",\n \"type\": \"string\",\n \"value\": \"={{ $json.filename }}\"\n },\n {\n \"id\": \"f611e749-054a-441d-8610-df8ba42de2e1\",\n \"name\": \"text\",\n \"type\": \"string\",\n \"value\": \"={{ $('Split all citations from a single message').item.json.text }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"0e999a0e-76ed-4897-989b-228f075e9bfb\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 440,\n -60\n ],\n \"parameters\": {\n \"width\": 200,\n \"height\": 220,\n \"content\": \"### A file retrieval request contains a lot of information, and we want only the text that will be substituted and the file name.\\n\\n- id\\n- filename\\n- text\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"53c79a6c-7543-435f-b40e-966dff0904d4\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n -60\n ],\n \"parameters\": {\n \"width\": 200,\n \"height\": 220,\n \"content\": \"### With the last three splits, we may have many citations and texts to substitute. By doing an aggregation, it will be possible to handle everything as a single request.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"381fb6d6-64fc-4668-9d3c-98aaa43a45ca\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 960,\n -60\n ],\n \"parameters\": {\n \"height\": 220,\n \"content\": \"### This simple code will take all the previous files and citations and alter the original text, formatting the output. In this way, we can use Markdown tags to create links, or if you prefer, we can add an HTML transformation node.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d0cbb943-57ab-4850-8370-1625610a852a\",\n \"name\": \"Optional Markdown to HTML\",\n \"type\": \"n8n-nodes-base.markdown\",\n \"disabled\": true,\n \"position\": [\n 1220,\n 120\n ],\n \"parameters\": {\n \"html\": \"={{ $json.output }}\",\n \"options\": {},\n \"destinationKey\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"589e2418-5dec-47d0-ba08-420d84f09da7\",\n \"name\": \"Finnaly format the output\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 980,\n 120\n ],\n \"parameters\": {\n \"mode\": \"runOnceForEachItem\",\n \"jsCode\": \"let saida = $('OpenAI Assistant with Vector Store').item.json.output;\\n\\nfor (let i of $input.item.json.data) {\\n saida = saida.replaceAll(i.text, \\\" _(\\\"+ i.filename+\\\")_ \\\");\\n}\\n\\n$input.item.json.output = saida;\\nreturn $input.item;\"\n },\n \"typeVersion\": 2\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"0e621a5a-d99d-4db3-9ae4-ea98c31467e9\",\n \"connections\": {\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Finnaly format the output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Regularize output\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"OpenAI Assistant with Vector Store\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ALL Thread Content\": {\n \"main\": [\n [\n {\n \"node\": \"Split all message iterations from a thread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Finnaly format the output\": {\n \"main\": [\n [\n {\n \"node\": \"Optional Markdown to HTML\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve file name from a file ID\": {\n \"main\": [\n [\n {\n \"node\": \"Regularize output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Assistant with Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"Get ALL Thread Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split all content from a single message\": {\n \"main\": [\n [\n {\n \"node\": \"Split all citations from a single message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split all citations from a single message\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve file name from a file ID\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split all message iterations from a thread\": {\n \"main\": [\n [\n {\n \"node\": \"Split all content from a single message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create a simple Trigger to have the Chat button within N8N\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI Assistant with Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Make OpenAI Citation for File Retrieval RAG", "node_count": 19, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for open deep research ai powered autonomous research workflow", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.toolWikipedia, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"WLSqXECfQF7rOj2A\",\n \"meta\": {\n \"instanceId\": \"cba4a4a2eb5d7683330e2944837278938831ed3c042e20da6f5049c07ad14798\"\n },\n \"name\": \"Open Deep Research - AI-Powered Autonomous Research Workflow\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"b7b70ba1-0267-4d2b-91f4-5cc4fd22fd03\",\n \"name\": \"Chat Message Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n -1940,\n 160\n ],\n \"webhookId\": \"cb0b9dbe-1f35-441a-b062-29624b0ebc6a\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"55a8a512-f2d4-4aed-93e5-dd9bfa2dcaad\",\n \"name\": \"Generate Search Queries using LLM\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n -1760,\n 160\n ],\n \"parameters\": {\n \"text\": \"=User Query: {{ $('Chat Message Trigger').item.json.chatInput }}\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=You are an expert research assistant. Given a user's query, generate up to four distinct, precise search queries that would help gather comprehensive information on the topic. Return only a JSON list of strings, for example: ['query1', 'query2', 'query3'].\"\n }\n ]\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"5f92361a-b490-479d-8360-c87a100b470e\",\n \"name\": \"LLM Response Provider (OpenRouter)\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenRouter\",\n \"position\": [\n -1760,\n 700\n ],\n \"parameters\": {\n \"model\": \"google/gemini-2.0-flash-001\",\n \"options\": {}\n },\n \"credentials\": {\n \"openRouterApi\": {\n \"id\": \"WZWYWCfluxuKxZzV\",\n \"name\": \"OpenRouter account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4ab360eb-858f-48b8-a00d-71867d4f0c93\",\n \"name\": \"Parse and Chunk JSON Data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -1420,\n 160\n ],\n \"parameters\": {\n \"jsCode\": \"// Parse the input JSON string and split it into four chunks\\nconst rawText = $json.text;\\n\\n// Remove Markdown JSON code blocks if present\\nconst cleanedText = rawText.replace(/```json|```/g, '').trim();\\n\\ntry {\\n const jsonArray = JSON.parse(cleanedText);\\n if (!Array.isArray(jsonArray)) {\\n throw new Error('The JSON is not an array.');\\n }\\n const chunkSize = Math.ceil(jsonArray.length / 4);\\n const chunks = [];\\n for (let i = 0; i < jsonArray.length; i += chunkSize) {\\n chunks.push(jsonArray.slice(i, i + chunkSize));\\n }\\n return chunks.map(chunk => ({ json: { chunk } }));\\n} catch (error) {\\n return [{ json: { error: error.message } }];\\n}\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"5a3ac393-8355-449f-93cb-b98e8bee9b80\",\n \"name\": \"Perform SerpAPI Search Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -780,\n 180\n ],\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $('Parse and Chunk JSON Data').item.json.chunk }}\"\n },\n {\n \"name\": \"api_key\",\n \"value\": \"={{ $credentials.SerpAPI.key }}\"\n },\n {\n \"name\": \"engine\",\n \"value\": \"google\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"dad82469-830d-40fb-9f6b-b9fefef41267\",\n \"name\": \"Perform Jina AI Analysis Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 80,\n 160\n ],\n \"parameters\": {\n \"url\": \"=https://r.jina.ai/{{ $json.url }}\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"iseKF5sPsvwtJhgT\",\n \"name\": \"Jina AI\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e21bbdf6-a903-491e-920c-ef7576f9ce80\",\n \"name\": \"Format SerpAPI Organic Results\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -460,\n 140\n ],\n \"parameters\": {\n \"jsCode\": \"// Format the organic search results from SerpAPI\\nconst results = $input.first().json.organic_results;\\nif (results.length === 0) {\\n return [{ json: { error: 'No search results found.' } }];\\n}\\nconst formattedResults = results.map(result => ({\\n title: result.title || 'No title available',\\n url: result.link || 'No link available',\\n source: result.source || result.displayed_link || 'Unknown source'\\n}));\\nreturn formattedResults.map(result => ({ json: result }));\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"a856c8e8-5c3c-4a2f-9086-66deee1afd06\",\n \"name\": \"Extract Relevant Context via LLM\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n -1280,\n 520\n ],\n \"parameters\": {\n \"text\": \"=User Queries: {{ $('Parse and Chunk JSON Data').all().map(item => item.json.chunk[0]).join(', ') }}\\nWebpage Contents: \\n\\\"\\\"\\\"\\n{{ $json.data }}\\n\\\"\\\"\\\"\",\n \"options\": {\n \"systemMessage\": \"=You are an expert information extractor. Given the user's query, the search query that led to this page, and the webpage content, extract all relevant pieces of information that are useful to answer the query. Return only the relevant context as plain text without any additional commentary.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"6d5c6698-0b4f-438c-91b9-3597f5d3e904\",\n \"name\": \"Generate Comprehensive Research Report\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n -740,\n 520\n ],\n \"parameters\": {\n \"text\": \"=Extracted Contexts (Merged):\\n\\\"\\\"\\\"\\n{{ $json.output }}\\n\\\"\\\"\\\"\",\n \"options\": {\n \"systemMessage\": \"You are an expert researcher and report writer. Based on the gathered contexts and the original user query, generate a comprehensive, well-structured report. Include all relevant insights and conclusions without unnecessary commentary.\\n\\nFormat the report in Markdown with clear headings. For example:\\n\\n# Research Report: [User Query]\\n\\n## Key Findings\\n- Point 1\\n- Point 2\\n\\n## Detailed Analysis\\n### Aspect 1\\nSummary of findings.\\n_Source:_ [Source Name](URL)\\n\\n### Aspect 2\\nSummary of findings.\\n_Source:_ [Another Source](URL)\\n\\nNow, generate the complete report.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"05fea6a1-791e-4980-8f2a-2960455066d7\",\n \"name\": \"Split Data for SerpAPI Batching\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -1100,\n 160\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"df00e7e8-99b8-484a-8047-869474fefee9\",\n \"name\": \"Split Data for Jina AI Batching\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -220,\n 140\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"2edc683b-65f7-40c3-a22d-7fbf5b67de0a\",\n \"name\": \"LLM Memory Buffer (Input Context)\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n -1160,\n 740\n ],\n \"parameters\": {\n \"sessionKey\": \"my_test_session\",\n \"sessionIdType\": \"customKey\",\n \"contextWindowLength\": 20\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"23017ae7-72a7-45c7-8edf-d0ba72220675\",\n \"name\": \"LLM Memory Buffer (Report Context)\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n -620,\n 760\n ],\n \"parameters\": {\n \"sessionKey\": \"my_test_session\",\n \"sessionIdType\": \"customKey\",\n \"contextWindowLength\": 20\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"6bc9533b-e265-47b3-b93a-3a4f86ba0541\",\n \"name\": \"Fetch Wikipedia Information\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWikipedia\",\n \"position\": [\n -580,\n 920\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b25c148e-047d-40a7-8818-94c3504828dd\",\n \"name\": \"Sticky Note: SerpAPI Setup\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -940,\n -20\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 420,\n \"height\": 140,\n \"content\": \"## SerpAPI Setup Instructions\\n1. Obtain your API key from https://serpapi.com/manage-api-key.\\n2. Save your API key securely in n8n credentials (do not use plain text).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e69c9a85-31e4-42b9-a09a-683ec5bb97d1\",\n \"name\": \"Sticky Note: Jina AI Setup\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -60,\n -40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 420,\n \"height\": 140,\n \"content\": \"## Jina AI Setup Instructions\\n1. Obtain your API key from https://jina.ai/api-dashboard/key-manager.\\n2. Configure your Jina AI credential in n8n to ensure secure API access.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"dbd204e0-da8e-41d8-814b-f409a23e9573\",\n \"name\": \"Sticky Note: OpenRouter API Setup\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1680,\n 460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 300,\n \"height\": 180,\n \"content\": \"## OpenRouter API Setup Instructions\\n1. Obtain your API key from https://openrouter.ai/settings/keys.\\n2. Set up your OpenRouter credential in n8n for secure integration.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"aa857bb3-84c1-4fe6-9464-90fc09163960\",\n \"connections\": {\n \"Chat Message Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Search Queries using LLM\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse and Chunk JSON Data\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for SerpAPI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch Wikipedia Information\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Format SerpAPI Organic Results\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for Jina AI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Perform SerpAPI Search Request\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for SerpAPI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Data for Jina AI Batching\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Relevant Context via LLM\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Perform Jina AI Analysis Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Data for SerpAPI Batching\": {\n \"main\": [\n [\n {\n \"node\": \"Format SerpAPI Organic Results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Perform SerpAPI Search Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Relevant Context via LLM\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Perform Jina AI Analysis Request\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for Jina AI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Search Queries using LLM\": {\n \"main\": [\n [\n {\n \"node\": \"Parse and Chunk JSON Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LLM Memory Buffer (Input Context)\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Extract Relevant Context via LLM\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LLM Memory Buffer (Report Context)\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LLM Response Provider (OpenRouter)\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Generate Search Queries using LLM\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Extract Relevant Context via LLM\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Open Deep Research - AI-Powered Autonomous Research Workflow", "node_count": 17, "category": "General Automation"}}
{"prompt": "How would you build: Query Perplexity Ai From Your N8N Workflows?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 6\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"293b70f0-06e8-4db5-befd-bfaed1f3575a\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -460,\n 80\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"1c473546-6280-412d-9f8e-b43962365d78\",\n \"name\": \"Set Params\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -160,\n -60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"8b5c6ca0-5ca8-4f67-abc1-44341cf419bc\",\n \"name\": \"system_prompt\",\n \"type\": \"string\",\n \"value\": \"You are an n8n fanboy.\"\n },\n {\n \"id\": \"7c36c362-6269-4564-b6fe-f82126bc8f5e\",\n \"name\": \"user_prompt\",\n \"type\": \"string\",\n \"value\": \"What are the differences between n8n and Make?\"\n },\n {\n \"id\": \"4366d2b5-ad22-445a-8589-fddab1caa1ab\",\n \"name\": \"domains\",\n \"type\": \"string\",\n \"value\": \"n8n.io, make.com\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"894bd6a4-5db7-45fb-a8e0-1a81af068bbf\",\n \"name\": \"Clean Output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 580,\n -100\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5859093c-6b22-41db-ac6c-9a9f6f18b7e3\",\n \"name\": \"output\",\n \"type\": \"string\",\n \"value\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"id\": \"13208fff-5153-45a7-a1cb-fe49e32d9a03\",\n \"name\": \"citations\",\n \"type\": \"array\",\n \"value\": \"={{ $json.citations }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"52d3a832-8c9b-4356-ad2a-377340678a58\",\n \"name\": \"Perplexity Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 240,\n 40\n ],\n \"parameters\": {\n \"url\": \"https://api.perplexity.ai/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"sonar\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"system\\\",\\n \\\"content\\\": \\\"{{ $json.system_prompt }}\\\"\\n },\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"{{ $json.user_prompt }}\\\"\\n }\\n ],\\n \\\"temperature\\\": 0.2,\\n \\\"top_p\\\": 0.9,\\n \\\"search_domain_filter\\\": {{ (JSON.stringify($json.domains.split(','))) }},\\n \\\"return_images\\\": false,\\n \\\"return_related_questions\\\": false,\\n \\\"search_recency_filter\\\": \\\"month\\\",\\n \\\"top_k\\\": 0,\\n \\\"stream\\\": false,\\n \\\"presence_penalty\\\": 0,\\n \\\"frequency_penalty\\\": 1,\\n \\\"response_format\\\": null\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpBasicAuth\": {\n \"id\": \"yEocL0NSpUWzMsHG\",\n \"name\": \"Perplexity\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"TngzgS09J1YvLIXl\",\n \"name\": \"Perplexity\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"48657f2c-d1dd-4d7e-8014-c27748e63e58\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n -440\n ],\n \"parameters\": {\n \"width\": 480,\n \"height\": 300,\n \"content\": \"## Credentials Setup\\n\\n1/ Go to the perplexity dashboard, purchase some credits and create an API Key\\n\\nhttps://www.perplexity.ai/settings/api\\n\\n2/ In the perplexity Request node, use Generic Credentials, Header Auth. \\n\\nFor the name, use the value \\\"Authorization\\\"\\nAnd for the value \\\"Bearer pplx-e4...59ea\\\" (Your Perplexity Api Key)\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e0daabee-c145-469e-93c2-c759c303dc2a\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 100,\n 260\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 480,\n \"height\": 120,\n \"content\": \"**Sonar Pro** is the current top model used by perplexity. \\nIf you want to use a different one, check this page: \\n\\nhttps://docs.perplexity.ai/guides/model-cards\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Set Params\": {\n \"main\": [\n [\n {\n \"node\": \"Perplexity Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Perplexity Request\": {\n \"main\": [\n [\n {\n \"node\": \"Clean Output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Params\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Query Perplexity AI from your n8n workflows", "node_count": 6, "category": "General Automation"}}
{"prompt": "How would you build: Reconcile Rent Payments With Local Excel Spreadsheet And Openai?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolCode, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.code, n8n-nodes-base.readWriteFile\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.localFileTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"bebbf9cf-8103-4694-a3be-ae3ee1e9ebaf\",\n \"name\": \"Watch For Bank Statements\",\n \"type\": \"n8n-nodes-base.localFileTrigger\",\n \"position\": [\n 780,\n 400\n ],\n \"parameters\": {\n \"path\": \"/home/node/host_mount/reconciliation_project\",\n \"events\": [\n \"add\"\n ],\n \"options\": {\n \"ignored\": \"!**/*.csv\"\n },\n \"triggerOn\": \"folder\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eca26bed-ba44-4507-97d4-9154e26908a5\",\n \"name\": \"Get Tenant Details\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCode\",\n \"position\": [\n 1660,\n 540\n ],\n \"parameters\": {\n \"name\": \"get_tenant_details\",\n \"jsCode\": \"const xlsx = require('xlsx');\\n\\nconst { spreadsheet_location } = $('Set Variables').item.json;\\nconst sheetName = 'tenants';\\n\\nconst wb = xlsx.readFile(spreadsheet_location, { sheets: [sheetName] });\\nconst rows = xlsx.utils.sheet_to_json(wb.Sheets[sheetName], { raw: false });\\n\\nconst queryToList = [].concat(typeof query === 'string' ? query.split(',') : query);\\n\\nconst result = queryToList.map(q => (\\n rows.find(row =>\\n row['Tenant Name'].toLowerCase() === q.toLowerCase()\\n || row['Tenant ID'].toLowerCase() === q.toString().toLowerCase()\\n )\\n));\\n\\nreturn result ? JSON.stringify(result) : `No results were found for ${query}`;\",\n \"description\": \"Call this tool to get a tenant's details which includes their tenancy terms, rent amount and any notes attached to their account. Pass in one or an array of either the tenant ID or the name of the tenant.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"76b68c2f-8d33-4f61-a442-732e784b733a\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1920,\n 540\n ],\n \"parameters\": {\n \"jsonSchemaExample\": \"[{\\n \\\"tenant_id\\\": \\\"\\\",\\n \\\"tenant_name\\\": \\\"\\\",\\n \\\"property_id\\\": \\\"\\\",\\n \\\"property_postcode\\\": \\\"\\\",\\n \\\"action_required\\\": \\\"\\\",\\n \\\"details\\\": \\\"\\\",\\n \\\"date\\\": \\\"\\\"\\n}]\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"be01720f-4617-4a2b-aaed-2474f9f0e25b\",\n \"name\": \"Get Bank Statement File\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1100,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"={{ $('Watch For Bank Statements').item.json.path }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2aba5f6a-56b0-411f-9124-33025d90e325\",\n \"name\": \"Get CSV Data\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 1260,\n 400\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a60d5851-f938-4696-855b-1f0845ffbc6c\",\n \"name\": \"Alert Actions To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 2260,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f804d9fb-f679-4e95-b70f-722e7c222c40\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 690.6721905682555,\n 177.80249392766257\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 748.2548372021405,\n \"height\": 457.6238063670572,\n \"content\": \"## Step 1. Wait For Incoming Bank Statements\\n[Read more about the local file triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger)\\n\\nFor this demo, we'll show that n8n is more than capable working with the local filesystem. This gives great benefits in terms of privacy and data security.\\n\\nFor our datastore, we're using a locally hosted XLSX Excel file which we'll query and update throughout this workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"01e9c335-320c-4fff-9ade-ad1cf808db00\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1460,\n 80\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 634.3165117416636,\n \"height\": 675.2455596085985,\n \"content\": \"## Step 2. Delegate to AI Agent to Quickly Identify Issues with Rental Payments\\n[Read more about AI Agents](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\\n\\nAn AI agent can not only check against agreed amounts and compare due dates but also consider contract exceptions and tenant notes before deciding to take action. In a scenario of 10+ of tenants, this can save a lot of admin time.\\n\\nFor this demo, we're using a remote LLM Model but this can easily be swapped out for other self-hosted LLMS models that support function calling.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2456b1e5-ceec-45c3-91a7-52e21125e6e5\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2120,\n 143.8836673253448\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 618.3293247808133,\n \"height\": 473.7439917476675,\n \"content\": \"## Step 3. Generate a Report to Action any Issues\\n[Read more about using the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\\n\\nAfter the AI Agent has helped identify issues to action, we can generate a report and update a locally hosted xlsx file. This again helps keep workflows private to nothing senstive goes over the wire.\\n\\nThough n8n lacks a builtin node for editing local xlsx file, we can tap into the sheetJS library available to the \\\"Code\\\" node.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b32e8f9-b543-47e1-a08e-53ee47105966\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 260,\n 80\n ],\n \"parameters\": {\n \"width\": 399.5148533727183,\n \"height\": 558.2628336538015,\n \"content\": \"## Try It Out!\\n### This workflow ingests bank statements to analyses them against a list of tenants using an AI Agent. The agent then flags any issues such as missing payments or incorrect amounts which are exported to a XLSX spreadsheet.\\n\\n### Note: This workflow is intended to work with a self-hosted version of n8n and has access to the local file system.\\n\\n* Watches for CSV files (bank statements)\\n* Imports into AI agent for analysis.\\n* AI agent will query the Excel spreadsheet for tenant and property details.\\n* AI agent will generate report on discrepancies or issues and write them to the Excel file.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba35ed0b-7ace-4b76-b915-0dc516a07fb1\",\n \"name\": \"Get Property Details\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCode\",\n \"position\": [\n 1800,\n 540\n ],\n \"parameters\": {\n \"name\": \"get_property_details\",\n \"jsCode\": \"const xlsx = require('xlsx');\\n\\nconst { spreadsheet_location } = $('Set Variables').item.json;\\nconst sheetName = 'properties'\\n\\nconst wb = xlsx.readFile(spreadsheet_location, { sheets: [sheetName] });\\nconst rows = xlsx.utils.sheet_to_json(wb.Sheets[sheetName], { raw: false });\\n\\nconst queryToList = [].concat(typeof query === 'string' ? query.split(',') :query);\\n\\nconst result = queryToList.map(q => rows.find(row => row['Property ID'] === q));\\n\\nreturn result ? JSON.stringify(result) : `No results were found for ${query}`;\",\n \"description\": \"Call this tool to get a property details which includes the address, postcode and type of the property. Pass in one or an array of Property IDs.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"8c85a2f5-6741-41f4-b377-c74a74b14d0f\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 940,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"bcd3dd04-0082-4da6-b36b-e5ad09c4de30\",\n \"name\": \"spreadsheet_location\",\n \"type\": \"string\",\n \"value\": \"/home/node/host_mount/reconciliation_project/reconcilation-workbook.xlsx\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"bd75bad8-caa3-48f1-8892-3d1221765564\",\n \"name\": \"Append To Spreadsheet\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2480,\n 400\n ],\n \"parameters\": {\n \"jsCode\": \"const xlsx = require('xlsx');\\n\\nconst { spreadsheet_location } = $('Set Variables').first().json;\\nconst sheetName = 'alerts';\\n\\nconst wb = xlsx.readFile(spreadsheet_location);\\nxlsx.writeFile(wb, spreadsheet_location + '.bak.xlsx'); // create backup\\n\\nconst worksheet = wb.Sheets[sheetName];\\n\\nconst inputs = $input.all();\\n\\nfor (input of inputs) {\\n xlsx.utils.sheet_add_aoa(worksheet, [\\n [\\n input.json.date,\\n input.json[\\\"property_id\\\"],\\n input.json[\\\"property_postcode\\\"],\\n input.json[\\\"tenant_id\\\"],\\n input.json[\\\"tenant_name\\\"],\\n input.json[\\\"action_required\\\"],\\n input.json[\\\"details\\\"],\\n ]\\n ], { origin: -1 });\\n}\\n\\n// update sheet ref\\nconst range = xlsx.utils.decode_range(worksheet['!ref']);\\nconst rowIndex = range.e.r + 1; // The next row index to append\\nworksheet['!ref'] = xlsx.utils.encode_range({\\n s: range.s,\\n e: { r: rowIndex, c: range.e.c }\\n});\\n\\nxlsx.writeFile(wb, spreadsheet_location, {\\n cellDates: true,\\n cellStyles: true,\\n bookType: 'xlsx',\\n});\\n\\nreturn {\\\"json\\\": { \\\"output\\\": `${inputs.length} rows added` }}\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c818ea7e-dc57-4680-b797-abb21cca87fb\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1540,\n 540\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b2a97514-6020-49a6-bbdb-ee1251eb6aed\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2280,\n 640\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 461.5505566920007,\n \"height\": 106.59049079746408,\n \"content\": \"### 🚨Warning! Potentially Destructive Operations!\\nWith code comes great responsibility! There is a risk you may overwrite/delete data you didn't intend. Always makes backups and test on a copy of your spreadsheets!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f869f6eb-cf19-4b14-bf3a-4db5d636646f\",\n \"name\": \"Reconcile Rental Payments\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1640,\n 360\n ],\n \"parameters\": {\n \"text\": \"=Bank Statement for {{ $input.first().json.date }} to {{ $input.last().json.date }}:\\n|date|reference|money in|money out|\\n|-|-|-|-|\\n{{ $input.all().map(row => `|${row.json.date}|${row.json.reference}|${row.json.money_in || ''}|${row.json.money_out || ''}|`).join('\\\\n') }}\",\n \"options\": {\n \"systemMessage\": \"Your task is to help reconcile rent payments with the uploaded bank statement and alert only if there are any actions to be taken in regards to the tenants.\\n* Identify and flag any tenants who have have missed their rent according to the month. Late payments which are within a few days of the due date are acceptable and should not be flagged.\\n* Identify and flag if any tenants have not paid the correct ammount due, either less or more.\\n* Identify and flag any tenants who are finishing their rentals within the time period of the current statement.\\n* Identify and flag any remaining fees which are due and have not been paid from any tenant in the last month of their rental.\\n\\nIf the bank statement show incomplete months due to cut off, it is ok to assume the payment is pending and not actually missing.\\n\\nThe alert system requires a JSON formatted message. It is important that you format your response as follows:\\n[{\\n \\\"tenant_id\\\": \\\"\\\",\\n \\\"tenant_name\\\": \\\"\\\",\\n \\\"property_id\\\": \\\"\\\",\\n \\\"property_postcode\\\": \\\"\\\",\\n \\\"action required\\\": \\\"\\\",\\n \\\"details\\\": \\\"\\\",\\n \\\"date\\\": \\\"\\\"\\n}]\"\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"executeOnce\": true,\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"510dc73c-f267-41f3-a981-58f5bfc229a6\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n 660\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 302.6142384407349,\n \"height\": 86.00673806595168,\n \"content\": \"### 💡I'm designed to work self-hosted!\\nSome nodes in this workflow are only available to the self-hosted version of n8n.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Get CSV Data\": {\n \"main\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Get Bank Statement File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Tenant Details\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Property Details\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Alert Actions To List\": {\n \"main\": [\n [\n {\n \"node\": \"Append To Spreadsheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Bank Statement File\": {\n \"main\": [\n [\n {\n \"node\": \"Get CSV Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Reconcile Rental Payments\": {\n \"main\": [\n [\n {\n \"node\": \"Alert Actions To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Watch For Bank Statements\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Reconcile Rent Payments with Local Excel Spreadsheet and OpenAI", "node_count": 17, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Scrape Trustpilot Reviews With Deepseek, Analyze Sentiment With Openai", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 20\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, n8n-nodes-base.html, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.sentimentAnalysis, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"w434EiZ2z7klQAyp\",\n \"meta\": {\n \"instanceId\": \"a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI\",\n \"tags\": [\n {\n \"id\": \"2VG6RbmUdJ2VZbrj\",\n \"name\": \"Google Drive\",\n \"createdAt\": \"2024-12-04T16:50:56.177Z\",\n \"updatedAt\": \"2024-12-04T16:50:56.177Z\"\n },\n {\n \"id\": \"paTcf5QZDJsC2vKY\",\n \"name\": \"OpenAI\",\n \"createdAt\": \"2024-12-04T16:52:10.768Z\",\n \"updatedAt\": \"2024-12-04T16:52:10.768Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"095a8e10-1630-4a1a-b6c9-7950ae1ed803\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 320,\n -380\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"recensioni\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ff4dd9d-eedd-4d84-b13a-b3c0db717409\",\n \"name\": \"Information Extractor\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n -440,\n 140\n ],\n \"parameters\": {\n \"text\": \"=You need to extract the review from the following HTML: {{ $json.recensione }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are a review expert. You need to extract only the required information and report it without changing anything.\\nAll the required information is in the text.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"autore\",\n \"required\": true,\n \"description\": \"Extract the name of the review author\"\n },\n {\n \"name\": \"valutazione\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"Extract the rating given to the review (from 1 to 5)\"\n },\n {\n \"name\": \"data\",\n \"required\": true,\n \"description\": \"Extract review date in YYYY-MM-DD format\"\n },\n {\n \"name\": \"titolo\",\n \"required\": true,\n \"description\": \"Extract the review title\"\n },\n {\n \"name\": \"testo\",\n \"required\": true,\n \"description\": \"Extract the review text\"\n },\n {\n \"name\": \"n_recensioni\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"Extract the total number of reviews made by the user\"\n },\n {\n \"name\": \"nazione\",\n \"required\": true,\n \"description\": \"Extract the country of the user who wrote the review. Must be two characters\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0036f3b1-4832-4a35-8694-0893475a4119\",\n \"name\": \"If\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 60,\n -100\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"loose\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"ab666549-4eec-40e2-a702-0575c094a2d4\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"empty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.Valutazione }}\",\n \"rightValue\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\"\n }\n ]\n },\n \"looseTypeValidation\": true\n },\n \"executeOnce\": false,\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"5423b55d-eb6c-41c6-9b26-410e3c92b85d\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -700,\n -380\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"506cdaa1-e0ba-4f29-b137-69d321b13c94\",\n \"name\": \"Limit1\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 540,\n -380\n ],\n \"parameters\": {\n \"maxItems\": 3\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"40f1e30d-8aed-4995-b4e4-2239248bd6e7\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -460,\n -480\n ],\n \"parameters\": {\n \"width\": 212.25249169435213,\n \"height\": 245.55481727574733,\n \"content\": \"Change to the name of the company registered on Trustpilot and the maximum number of pages to scrape\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e6d2fec1-7255-4270-86b4-6d6f39f44ccb\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -460,\n 80\n ],\n \"parameters\": {\n \"width\": 381,\n \"height\": 177,\n \"content\": \"Extract all information with DeepSeek (remember to change base_url with https://api.deepseek.com/v1)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"af5e962c-4faf-41cc-a8b8-2fbb145b7af6\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -240,\n -160\n ],\n \"parameters\": {\n \"width\": 501.28903654485043,\n \"height\": 195.84053156146172,\n \"content\": \"Check if the review has already been saved to Google Drive\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"400dff0c-8b2e-4fe2-933e-1f4d14624ca1\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 40,\n 80\n ],\n \"parameters\": {\n \"width\": 301.27574750830576,\n \"height\": 177.34219269102988,\n \"content\": \"Analyze review sentiment\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52757ade-4206-40f9-bf4f-c3aefb004d2e\",\n \"name\": \"Set Parameters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -440,\n -380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"556e201d-242a-4c0e-bc13-787c2b60f800\",\n \"name\": \"company_id\",\n \"type\": \"string\",\n \"value\": \"COMPANY\"\n },\n {\n \"id\": \"a1f239df-df08-41d8-8b78-d6502266a581\",\n \"name\": \"max_page\",\n \"type\": \"number\",\n \"value\": 2\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"cd7e9d36-7ecd-4d9c-b552-8f46b0cfcc03\",\n \"name\": \"Get reviews\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -200,\n -380\n ],\n \"parameters\": {\n \"url\": \"=https://it.trustpilot.com/review/{{ $json.company_id }}\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"page\",\n \"value\": \"={{ $pageCount + 1 }}\"\n }\n ]\n },\n \"maxRequests\": \"={{ $json.max_page }}\",\n \"requestInterval\": 5000,\n \"limitPagesFetched\": true\n }\n }\n },\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"sort\",\n \"value\": \"recency\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"476ff7b6-ab30-4674-a7fe-b032128ee51a\",\n \"name\": \"Extract\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 60,\n -380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"recensioni\",\n \"attribute\": \"href\",\n \"cssSelector\": \"article section a\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"a2a35455-7d3e-4c4c-aa66-6cbbd48d867a\",\n \"name\": \"Get rows\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -200,\n -100\n ],\n \"parameters\": {\n \"options\": {},\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupValue\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\",\n \"lookupColumn\": \"Id\"\n }\n ]\n },\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Foglio1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1QZhQqg79-HVBQh8Y2ihMq67UIYIRrJFKLQalcFvtDaY\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Trustpilot Review\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"JYR6a64Qecd6t8Hb\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"2d507fe6-a4fc-42ff-97ff-dfd552c651ab\",\n \"name\": \"Get Google Sheets\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -440,\n -100\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {\n \"Id\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\"\n },\n \"schema\": [\n {\n \"id\": \"Id\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Id\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Data\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Data\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Nome\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Nome\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Titolo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Titolo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Testo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Testo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Località\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Località\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"N. Recensioni\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"N. Recensioni\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"URL\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"URL\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Valutazione\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Valutazione\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Sentiment\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Sentiment\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"Id\"\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {},\n \"operation\": \"appendOrUpdate\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Foglio1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1QZhQqg79-HVBQh8Y2ihMq67UIYIRrJFKLQalcFvtDaY\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Trustpilot Reviews\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"JYR6a64Qecd6t8Hb\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"executeOnce\": false,\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"0a1fab6e-96b7-403b-884e-f67be6e23fa5\",\n \"name\": \"Get Single review\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 320,\n -120\n ],\n \"parameters\": {\n \"url\": \"=https://it.trustpilot.com{{ $('Split Out').item.json.recensioni }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"7d322d76-1032-405a-9d46-2958761a184d\",\n \"name\": \"Extract review\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 540,\n -120\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"recensione\",\n \"cssSelector\": \"article\",\n \"returnArray\": true\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"952484e5-8e87-4eb3-99a6-5bf26c701ba8\",\n \"name\": \"Update sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 520,\n 120\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {\n \"Id\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\",\n \"URL\": \"=https://it.trustpilot.com{{ $('Split Out').item.json.recensioni }}\",\n \"Data\": \"={{ $('Information Extractor').item.json.output.data }}\",\n \"Nome\": \"={{ $json.output.autore }}\",\n \"Testo\": \"={{ $('Information Extractor').item.json.output.testo }}\",\n \"Titolo\": \"={{ $('Information Extractor').item.json.output.titolo }}\",\n \"Località\": \"={{ $('Information Extractor').item.json.output.nazione }}\",\n \"Sentiment\": \"={{ $json.sentimentAnalysis.category }}\",\n \"Valutazione\": \"={{ $('Information Extractor').item.json.output.valutazione }}\",\n \"N. Recensioni\": \"={{ $('Information Extractor').item.json.output.n_recensioni }}\"\n },\n \"schema\": [\n {\n \"id\": \"Id\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Id\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Data\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Data\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Nome\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Nome\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Titolo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Titolo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Testo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Testo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Località\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Località\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"N. Recensioni\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"N. Recensioni\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"URL\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"URL\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Valutazione\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Valutazione\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Sentiment\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Sentiment\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"Id\"\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {},\n \"operation\": \"appendOrUpdate\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Foglio1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1QZhQqg79-HVBQh8Y2ihMq67UIYIRrJFKLQalcFvtDaY\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Trustpilot Reviews\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"JYR6a64Qecd6t8Hb\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"eb853885-816d-4df7-b5ac-900fa89d3df9\",\n \"name\": \"Sentiment Analysis\",\n \"type\": \"@n8n/n8n-nodes-langchain.sentimentAnalysis\",\n \"position\": [\n 60,\n 140\n ],\n \"parameters\": {\n \"options\": {\n \"categories\": \"Positive, Neutral, Negative\",\n \"systemPromptTemplate\": \"You are highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON.\"\n },\n \"inputText\": \"={{ $json.output.testo }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"79f1b9ea-6297-4735-9c0f-9f28dd65efa0\",\n \"name\": \"DeepSeek Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n -460,\n 320\n ],\n \"parameters\": {\n \"model\": \"deepseek-reasoner\",\n \"options\": {\n \"baseURL\": \"https://api.deepseek.com/v1\"\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"97Cz4cqyiy1RdcQL\",\n \"name\": \"DeepSeek\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"159cc88e-1dd3-4bba-a3c8-59a9aad14c88\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 40,\n 320\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"CDX6QM4gLYanh0P4\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"43c8ee74-159c-4217-9cb4-554c63a3b183\",\n \"connections\": {\n \"If\": {\n \"main\": [\n [\n {\n \"node\": \"Get Single review\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get rows\": {\n \"main\": [\n [\n {\n \"node\": \"If\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Limit1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Extract\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract review\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Parameters\": {\n \"main\": [\n [\n {\n \"node\": \"Get reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Sheets\": {\n \"main\": [\n [\n {\n \"node\": \"Get rows\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Single review\": {\n \"main\": [\n [\n {\n \"node\": \"Extract review\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Sentiment Analysis\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Sentiment Analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Update sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Update sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Update sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"DeepSeek Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor\": {\n \"main\": [\n [\n {\n \"node\": \"Sentiment Analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Parameters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI", "node_count": 20, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.set, n8n-nodes-base.html, n8n-nodes-base.scheduleTrigger to news extraction", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 36\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.html, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.openAi, n8n-nodes-base.itemLists, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest, n8n-nodes-base.nocoDb, n8n-nodes-base.merge\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"xM8Z5vZVNTNjCySL\",\n \"meta\": {\n \"instanceId\": \"b8ef33547995f2a520f12118ac1f7819ea58faa7a1096148cac519fa08be8e99\"\n },\n \"name\": \"News Extraction\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"97711d12-20de-40aa-b994-d2b10f20a5e5\",\n \"name\": \"Extract the HTML with the right css class\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -500,\n 0\n ],\n \"parameters\": {\n \"options\": {\n \"trimValues\": true\n },\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"data\",\n \"attribute\": \"href\",\n \"cssSelector\": \"=div:nth-child(9) > div:nth-child(3) > a:nth-child(2)\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b874b570-daae-4878-b525-07ac30756eb1\",\n \"name\": \"Summary\",\n \"type\": \"n8n-nodes-base.openAi\",\n \"position\": [\n -880,\n 440\n ],\n \"parameters\": {\n \"model\": \"gpt-4-1106-preview\",\n \"prompt\": {\n \"messages\": [\n {\n \"content\": \"=Create a summary in less than 70 words {{ $json[\\\"content\\\"] }}\"\n }\n ]\n },\n \"options\": {},\n \"resource\": \"chat\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"0Vdk5RlVe7AoUdAM\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"72696278-2d44-4073-936a-6fe9df1bc7d8\",\n \"name\": \"Keywords\",\n \"type\": \"n8n-nodes-base.openAi\",\n \"position\": [\n -880,\n 620\n ],\n \"parameters\": {\n \"model\": \"gpt-4-1106-preview\",\n \"prompt\": {\n \"messages\": [\n {\n \"content\": \"=name the 3 most important technical keywords in {{ $json[\\\"content\\\"] }} ? just name them without any explanations or other sentences\"\n }\n ]\n },\n \"options\": {},\n \"resource\": \"chat\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"0Vdk5RlVe7AoUdAM\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0bfdb3be-76ef-4bb3-902f-f0869342b83c\",\n \"name\": \"Rename keywords\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -700,\n 620\n ],\n \"parameters\": {\n \"fields\": {\n \"values\": [\n {\n \"name\": \"keywords\",\n \"stringValue\": \"={{ $json[\\\"message\\\"][\\\"content\\\"] }}\"\n }\n ]\n },\n \"include\": \"none\",\n \"options\": {}\n },\n \"typeVersion\": 3.1\n },\n {\n \"id\": \"0387cf34-41c9-4729-8570-1db7b17c42f4\",\n \"name\": \"Rename Summary\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -700,\n 440\n ],\n \"parameters\": {\n \"fields\": {\n \"values\": [\n {\n \"name\": \"=summary\",\n \"stringValue\": \"={{ $json[\\\"message\\\"][\\\"content\\\"] }}\"\n }\n ]\n },\n \"include\": \"none\",\n \"options\": {}\n },\n \"typeVersion\": 3.1\n },\n {\n \"id\": \"5fa1702c-f0bf-4524-bc8f-6f550dd83f1e\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -480,\n 560\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"25128a71-b0d5-49a4-adb8-c3fbe03c0a85\",\n \"name\": \"Extract date\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -500,\n -160\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"data\",\n \"cssSelector\": \"div:nth-child(9) > div:nth-child(2) > span:nth-child(1)\",\n \"returnArray\": true\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"138b3bd6-494a-49b9-b5b8-c9febcfef9fb\",\n \"name\": \"Select posts of last 7 days\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 120,\n 0\n ],\n \"parameters\": {\n \"jsCode\": \"const currentDate = new Date();\\nconst sevenDaysAgo = new Date(currentDate.setDate(currentDate.getDate() - 70)); // Change the number of days going back to your liking (e.g. from -7 to -1) -> BUT sync with the cron job (first node)\\n\\nconst filteredItems = items.filter(item => {\\n const postDate = new Date(item.json[\\\"Date\\\"]); // Assuming \\\"Date\\\" is the field name in the extracted html\\n return postDate >= sevenDaysAgo;\\n});\\n\\nreturn filteredItems;\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1ace953b-e298-4fc2-8970-327f736889ec\",\n \"name\": \"Merge date & links\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -100,\n 0\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"bba692fc-c225-41be-a969-179d8b99c071\",\n \"name\": \"HTTP Request1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 320,\n 0\n ],\n \"parameters\": {\n \"url\": \"={{ $json[\\\"Link\\\"] }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"26671065-631f-4684-9ee1-15f26b4cf1e4\",\n \"name\": \"Merge Content with Date & Link\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 500,\n 260\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"79beb744-97b8-4072-824a-6736b0a080ef\",\n \"name\": \"Extract individual posts\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 500,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"title\",\n \"cssSelector\": \"h1.fl-heading > span:nth-child(1)\"\n },\n {\n \"key\": \"content\",\n \"cssSelector\": \".fl-node-5c7574ae7d5c6 > div:nth-child(1)\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e89d9de5-875b-453e-825a-26f2bebcc8df\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 80,\n -107\n ],\n \"parameters\": {\n \"width\": 180.9747474601832,\n \"height\": 276.31054308676767,\n \"content\": \"Select only the newest news: todays date going back xy days\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8a603f2f-4208-48c7-b169-e5613f13fa7d\",\n \"name\": \"Merge ChatGPT output with Date & Link\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -180,\n 560\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"e1036421-9ce1-4121-a692-602410ec7c95\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n -539.7802584556148,\n -4.722020203185366\n ],\n \"parameters\": {\n \"width\": 182.2748213508401,\n \"height\": 304.2550759710132,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nExtracting the individual links of the press release page in order to retrieve the individual posts on their respective **url**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3655ab22-6a17-429a-9d9b-d96bbcc78fee\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -538.404803912782,\n -304\n ],\n \"parameters\": {\n \"width\": 178.75185894039254,\n \"height\": 289.463147786618,\n \"content\": \"Extracting the dates of the posts of the press release page.\\nThe right CSS selector has to be chosen.\\n[More info on datagrab.io](https://datagrab.io/blog/guide-to-css-selectors-for-web-scraping/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e27fb4c-426a-41e1-b5fb-9b2d78acd2a7\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1300,\n -299.82161760751774\n ],\n \"parameters\": {\n \"width\": 334.4404040637068,\n \"height\": 1127.2017245821128,\n \"content\": \"# Scraping posts of a news site without RSS feed\\n\\n\\nThe [News Site](https://www.colt.net/resources/type/news/) from Colt, a telecom company, does not offer an RSS feed, therefore web scraping is the \\nchoice to extract and process the news.\\n\\nThe goal is to get only the newest posts, a summary of each post and their respective (technical) keywords.\\n\\nNote that the news site offers the links to each news post, but not the individual news. We collect first the links and dates of each post before extracting the newest ones.\\n\\nThe result is sent to a SQL database, in this case a NocoDB database.\\n\\nThis process happens each week thru a cron job.\\n\\n**Requirements**:\\n- Basic understanding of CSS selectors and how to get them via browser (usually: right click → inspect)\\n- ChatGPT API account - normal account is not sufficient\\n- A NocoDB database - of course you may choose any type of output target\\n\\n**Assumptions**:\\n- CSS selectors work on the news site\\n- The post has a date with own CSS selector - meaning date is not part of the news content\\n\\n**\\\"Warnings\\\"**\\n- Not every site likes to be scraped, especially not in high frequency\\n- Each website is structured in different ways, the workflow may then need several adaptations.\\n\\n\\nHappy about any suggestion to improve. You may contact me on **Mastodon**: https://bonn.social/@askans\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d43bd5b7-2aff-4a07-8aca-ca4747ec6c4d\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -927.8447474890202,\n -80\n ],\n \"parameters\": {\n \"width\": 153.90180146729315,\n \"height\": 237.91333335255808,\n \"content\": \"Weekly cron job\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e732d136-fcf1-4fc3-8bb6-bdcea3c78d9e\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -760,\n -80\n ],\n \"parameters\": {\n \"width\": 185.41515152389002,\n \"height\": 241.454848504947,\n \"content\": \"The html of the news site is being retrieved: https://www.colt.net/resources/type/news/\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d5e29ec3-5ef2-42f3-b316-9350644dbba4\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -340,\n -306\n ],\n \"parameters\": {\n \"width\": 187.3613302133812,\n \"height\": 469.2923233086395,\n \"content\": \"As the extraction are returned as arrays, they transformed into individual JSON items to enable looping with other nodes\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1af15c45-32c0-4abf-a35d-be7206823569\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -120,\n -103.54151515238902\n ],\n \"parameters\": {\n \"width\": 150,\n \"height\": 274.50898992724416,\n \"content\": \"The links of the individual posts and the dates of the posts \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f7c42748-f227-42d0-a9e2-fcb16dbd0f75\",\n \"name\": \"Retrieve the web page for further processsing\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -720,\n 0\n ],\n \"parameters\": {\n \"url\": \"https://www.colt.net/resources/type/news/\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"responseFormat\": \"text\"\n }\n }\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"b2c36f26-8221-478f-a4b0-22758b1e5e58\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 292,\n -100\n ],\n \"parameters\": {\n \"width\": 155.0036363426638,\n \"height\": 272.1479798256519,\n \"content\": \"Get the html of each individual **newest** post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ae05c31-c09a-4b4e-a013-41571937bc39\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n -100\n ],\n \"parameters\": {\n \"width\": 184.07417896879767,\n \"height\": 269.2504410842093,\n \"content\": \"Extracting the title & content (text) of each individual news post with the right CSS selector\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e2da76d4-0c8c-4c61-924f-50aa9387e9ab\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 180\n ],\n \"parameters\": {\n \"width\": 191.87778190338406,\n \"height\": 234.13422787857044,\n \"content\": \"Merge link to url, date with content (text) and title of each news psot\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c124aaac-dce6-4658-9027-bdfe5c0c81e6\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -907.2264215202996,\n 331.0681740778203\n ],\n \"parameters\": {\n \"width\": 150,\n \"height\": 256.2444361932317,\n \"content\": \"Create a summary of each news post with ChatGPT. You need a ChatGPT API account for this\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c9037e74-007b-4e44-b7f9-90e78b853eb5\",\n \"name\": \"Sticky Note13\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -909.595196087218,\n 610.7495589157902\n ],\n \"parameters\": {\n \"width\": 152.85976723045226,\n \"height\": 218.52702200939785,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nGet the 3 keywords of each news post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"756397d9-de80-4114-9dee-b4f4b9593333\",\n \"name\": \"Sticky Note14\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -740,\n 340\n ],\n \"parameters\": {\n \"width\": 182.7735784797001,\n \"height\": 489.05192374172555,\n \"content\": \"Just a renaming of data fields and eliminating unnecessary ones\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a0dcb254-f064-45ed-8e22-30a6d079085b\",\n \"name\": \"Sticky Note15\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n 480\n ],\n \"parameters\": {\n \"width\": 169.7675735887227,\n \"height\": 254.94383570413422,\n \"content\": \"Merge summary and keywords of each news post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"82993166-b273-4b82-a954-554c6892f825\",\n \"name\": \"Schedule Trigger each week\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -900,\n 0\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 3\n ],\n \"triggerAtHour\": 4,\n \"triggerAtMinute\": 32\n }\n ]\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"3d670eb9-5a36-4cd9-8d2c-40adf848485e\",\n \"name\": \"Sticky Note16\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -220,\n 477.5081090810816\n ],\n \"parameters\": {\n \"width\": 180.1723775015045,\n \"height\": 260.5279202647822,\n \"content\": \"Add title, link and date to summary and keywords of each news post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"62021393-e988-4834-9fa2-75a957b42890\",\n \"name\": \"NocoDB news database\",\n \"type\": \"n8n-nodes-base.nocoDb\",\n \"position\": [\n 60,\n 560\n ],\n \"parameters\": {\n \"table\": \"mhbalmu9aaqcun6\",\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldName\": \"=News_Source\",\n \"fieldValue\": \"=Colt\"\n },\n {\n \"fieldName\": \"Title\",\n \"fieldValue\": \"={{ $json[\\\"title\\\"] }}\"\n },\n {\n \"fieldName\": \"Date\",\n \"fieldValue\": \"={{ $json[\\\"Date\\\"] }}\"\n },\n {\n \"fieldName\": \"Link\",\n \"fieldValue\": \"={{ $json[\\\"Link\\\"] }}\"\n },\n {\n \"fieldName\": \"Summary\",\n \"fieldValue\": \"={{ $json[\\\"summary\\\"] }}\"\n },\n {\n \"fieldName\": \"Keywords\",\n \"fieldValue\": \"={{ $json[\\\"keywords\\\"] }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"projectId\": \"prqu4e8bjj4bv1j\",\n \"authentication\": \"nocoDbApiToken\"\n },\n \"credentials\": {\n \"nocoDbApiToken\": {\n \"id\": \"gjNns0VJMS3P2RQ3\",\n \"name\": \"NocoDB Token account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"e59e9fab-10a7-470b-afa6-e1d4b4e57723\",\n \"name\": \"Sticky Note17\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 280,\n 480\n ],\n \"parameters\": {\n \"width\": 483.95825869942666,\n \"height\": 268.5678114630957,\n \"content\": \"## News summaries and keywords → database\\n\\n[NocoDB](https://nocodb.com/) is an SQL database, here we store the news summaries and keywords for further processing. Any other output target can be chosen here, e.g. e-mail, Excel etc.\\n\\nYou need first have that database structured before appending the news summaries and additional fields. The you can shape this node.\\n\\nSome fields may be edited in the database itself (e.g. relevance of the news to you) and may be filled therefore with a default value or not at all\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"253b414b-9a5b-4a25-892b-9aa011d55d28\",\n \"name\": \"Sticky Note18\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 20,\n 480\n ],\n \"parameters\": {\n \"width\": 262.99083066277313,\n \"height\": 268.56781146309544,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"438e8dde-ce0a-4e5e-8d62-d735d19ec189\",\n \"name\": \"Create single link items\",\n \"type\": \"n8n-nodes-base.itemLists\",\n \"position\": [\n -300,\n 0\n ],\n \"parameters\": {\n \"options\": {\n \"destinationFieldName\": \"Link\"\n },\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"d721776b-fefc-4e72-91ef-6710f10b0393\",\n \"name\": \"Create single date items\",\n \"type\": \"n8n-nodes-base.itemLists\",\n \"position\": [\n -300,\n -160\n ],\n \"parameters\": {\n \"options\": {\n \"destinationFieldName\": \"Date\"\n },\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 3\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ff89d802-3bcf-4b34-9cd9-776b1f3b5eab\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Merge ChatGPT output with Date & Link\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Summary\": {\n \"main\": [\n [\n {\n \"node\": \"Rename Summary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Keywords\": {\n \"main\": [\n [\n {\n \"node\": \"Rename keywords\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract date\": {\n \"main\": [\n [\n {\n \"node\": \"Create single date items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Extract individual posts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Rename Summary\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Rename keywords\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Merge date & links\": {\n \"main\": [\n [\n {\n \"node\": \"Select posts of last 7 days\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create single date items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge date & links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create single link items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge date & links\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Extract individual posts\": {\n \"main\": [\n [\n {\n \"node\": \"Merge Content with Date & Link\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger each week\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve the web page for further processsing\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select posts of last 7 days\": {\n \"main\": [\n [\n {\n \"node\": \"Merge Content with Date & Link\",\n \"type\": \"main\",\n \"index\": 1\n },\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge Content with Date & Link\": {\n \"main\": [\n [\n {\n \"node\": \"Summary\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Keywords\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Merge ChatGPT output with Date & Link\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge ChatGPT output with Date & Link\": {\n \"main\": [\n [\n {\n \"node\": \"NocoDB news database\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract the HTML with the right css class\": {\n \"main\": [\n [\n {\n \"node\": \"Create single link items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve the web page for further processsing\": {\n \"main\": [\n [\n {\n \"node\": \"Extract the HTML with the right css class\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Extract date\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "News Extraction", "node_count": 36, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to scrape and summarize webpages with ai", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 15\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, n8n-nodes-base.html, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.chainSummarization, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"67850bd7-f9f4-4d5b-8c9e-bd1451247ba6\",\n \"name\": \"When clicking \\\"Execute Workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -740,\n 1000\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0d9133f9-b6d3-4101-95c6-3cd24cdb70c3\",\n \"name\": \"Fetch essay list\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -520,\n 1000\n ],\n \"parameters\": {\n \"url\": \"http://www.paulgraham.com/articles.html\",\n \"options\": {}\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"ee634297-a456-4f70-a995-55b02950571e\",\n \"name\": \"Extract essay names\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -300,\n 1000\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"dataPropertyName\": \"=data\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"essay\",\n \"attribute\": \"href\",\n \"cssSelector\": \"table table a\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"83d75693-dbb8-44c4-8533-da06f611c59c\",\n \"name\": \"Fetch essay texts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 360,\n 1000\n ],\n \"parameters\": {\n \"url\": \"=http://www.paulgraham.com/{{ $json.essay }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"151022b5-8570-4176-bf3f-137f27ac7036\",\n \"name\": \"Extract title\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 700,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"title\",\n \"cssSelector\": \"title\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"07bcf095-3c4d-4a72-9bcb-341411750ff5\",\n \"name\": \"Clean up\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1360,\n 980\n ],\n \"parameters\": {\n \"fields\": {\n \"values\": [\n {\n \"name\": \"title\",\n \"stringValue\": \"={{ $json.title }}\"\n },\n {\n \"name\": \"summary\",\n \"stringValue\": \"={{ $json.response.text }}\"\n },\n {\n \"name\": \"url\",\n \"stringValue\": \"=http://www.paulgraham.com/{{ $('Limit to first 3').item.json.essay }}\"\n }\n ]\n },\n \"include\": \"none\",\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"11285de0-3c5d-4296-a322-9b7585af9acc\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -580,\n 920\n ],\n \"parameters\": {\n \"width\": 1071.752021563343,\n \"height\": 285.66037735849045,\n \"content\": \"## Scrape latest Paul Graham essays\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c32f905d-dd7a-4b68-bbe0-dd8115ee0944\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 920\n ],\n \"parameters\": {\n \"width\": 465.3908355795153,\n \"height\": 606.7924528301882,\n \"content\": \"## Summarize them with GPT\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"29d264f4-df6d-4a41-ab38-58e1b1becc9a\",\n \"name\": \"Split out into items\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n -80,\n 1000\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"essay\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ccfa3a1d-f170-44b4-a1f2-3573c88cae98\",\n \"name\": \"Limit to first 3\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 140,\n 1000\n ],\n \"parameters\": {\n \"maxItems\": 3\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c3d05068-9d1a-4ef5-8249-e7384dc617ee\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 820,\n 1200\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"db75adad-cb16-4e72-b16e-34684a733b05\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 820,\n 1340\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"022cc091-9b4c-45c2-bc8e-4037ec2d0d60\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 680,\n 1200\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cda47bb7-36c5-4d15-a1ef-0c66b1194825\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1160,\n 980\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"28144e4c-e425-428d-b3d1-f563bfd4e5b3\",\n \"name\": \"Summarization Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainSummarization\",\n \"position\": [\n 720,\n 1000\n ],\n \"parameters\": {\n \"options\": {},\n \"operationMode\": \"documentLoader\"\n },\n \"typeVersion\": 2\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Clean up\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract title\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch essay list\": {\n \"main\": [\n [\n {\n \"node\": \"Extract essay names\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit to first 3\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch essay texts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch essay texts\": {\n \"main\": [\n [\n {\n \"node\": \"Extract title\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Summarization Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Summarization Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Summarization Chain\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract essay names\": {\n \"main\": [\n [\n {\n \"node\": \"Split out into items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarization Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Split out into items\": {\n \"main\": [\n [\n {\n \"node\": \"Limit to first 3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Execute Workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch essay list\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Scrape and summarize webpages with AI", "node_count": 15, "category": "Data Processing"}}
{"prompt": "Build a workflow for: Google Analytics Template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 22\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.googleAnalytics, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"K3uf8aY8wipScEay\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Google analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 460,\n 460\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"484cbc41-f57d-4c3d-a458-e439d480d290\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 460,\n 640\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 100\n ],\n \"parameters\": {\n \"width\": 714.172987012987,\n \"content\": \"## Send Google analytics to A.I. and save results to baserow\\n\\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\\n\\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"adde29fc-ddb5-4b50-aa78-313ac9ede879\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 633.6540259740264,\n 320\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 2097.92831168831,\n \"height\": 342.6576623376624,\n \"content\": \"## Property ID\\n\\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\\n2. Enter your [property ID](https://developers.google.com/analytics/devguides/reporting/data/v1/property-id).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f2fb8535-e81e-4ca1-80df-ee68edba6386\",\n \"name\": \"Get Page Engagement Stats for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 700,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1d761425-cebf-4787-b286-b723a0851485\",\n \"name\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1060,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"2024-10-23T00:00:00\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f8dac36b-9e8a-407f-b923-b4cea368f1bc\",\n \"name\": \"Parse data from Google Analytics\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 880,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ed880442-c92e-4347-b277-e8794aea6fbc\",\n \"name\": \"Parse GA data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1240,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"46e092cc-af94-4e64-aa92-931c56345eff\",\n \"name\": \"Get Google Search Results for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1420,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"709d0aaf-bd3d-4d83-9e66-b7df495855bd\",\n \"name\": \"Get Google Search Results for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1780,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7d3835d6-d1f5-4159-8e34-871871e63989\",\n \"name\": \"Parse Google Analytics Data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c018fda4-a2e6-48f4-aabb-039c66374dc7\",\n \"name\": \"Parse Google Analytics Data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1940,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"d8f775cd-daf9-42de-a527-d932be46d945\",\n \"name\": \"Get Country views data for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2120,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7119e57c-cbf4-49a9-b0c9-1f3da1fd2af3\",\n \"name\": \"Get Country views data for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2440,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"546d6cd2-6db6-4276-be35-abbe5a7e9b6a\",\n \"name\": \"Parse Google analytics data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2280,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"87cb137c-686d-49a5-8657-06ed0c5f5c27\",\n \"name\": \"Parse Google analytics data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"06c4478d-a13a-4587-9f1f-451a68798a9f\",\n \"name\": \"Send page data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2760,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $json.urlString }} Data from last week: {{ $('Parse data from Google Analytics').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"4ad522b0-afe4-4eff-aa16-b86cc892ead8\",\n \"name\": \"Send page Search data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google Analytics Data1').item.json.urlString }} Data from last week:{{ $('Parse Google Analytics Data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"07e1eebf-f16a-44c0-83b5-76bf65a3d3fc\",\n \"name\": \"Send country view data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3080,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google analytics data1').item.json.urlString }} Data from last week:{{ $('Parse Google analytics data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"c4648ad8-2377-42a0-a431-931b53631c9d\",\n \"name\": \"Save A.I. output to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 3240,\n 460\n ],\n \"parameters\": {\n \"tableId\": 601,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 5833,\n \"fieldValue\": \"Name of your blog\"\n },\n {\n \"fieldId\": 5831,\n \"fieldValue\": \"={{ $('Send page data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5830,\n \"fieldValue\": \"={{ $('Send page Search data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5832,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5829,\n \"fieldValue\": \"={{ DateTime.now() }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e185c836-c12f-4452-92bd-0daaf33b653a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2760,\n 180\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 441.7412987012988,\n \"height\": 508.95792207792226,\n \"content\": \"## Send data to A.I.\\n\\nFill in your Openrouter A.I. credentials. Use Header Auth.\\n- Username: Authorization\\n- Password: Bearer {insert your API key}\\n\\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1de2d16-d09e-4c74-8be1-f6bab8c34246\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3220,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 331.32883116883124,\n \"height\": 474.88,\n \"content\": \"## Send data to Baserow\\n\\nCreate a table first with the following columns:\\n- Name\\n- Country Views\\n- Page Views\\n- Search Report\\n- Blog \\n\\nEnter the name of your website under \\\"Blog\\\" field.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ac4b5eac-1c84-49ce-9ff7-794f857265b4\",\n \"connections\": {\n \"Parse GA data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send page Search data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data1\": {\n \"main\": [\n [\n {\n \"node\": \"Send page data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page Search data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send country view data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send country view data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Save A.I. output to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse data from Google Analytics\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse data from Google Analytics\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for prior week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse GA data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Google analytics template", "node_count": 22, "category": "General Automation"}}
{"prompt": "Build a workflow for: Google Analytics Template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 22\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.googleAnalytics, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"K3uf8aY8wipScEay\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Google analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 460,\n 460\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"484cbc41-f57d-4c3d-a458-e439d480d290\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 460,\n 640\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 100\n ],\n \"parameters\": {\n \"width\": 714.172987012987,\n \"content\": \"## Send Google analytics to A.I. and save results to baserow\\n\\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\\n\\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"adde29fc-ddb5-4b50-aa78-313ac9ede879\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 633.6540259740264,\n 320\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 2097.92831168831,\n \"height\": 342.6576623376624,\n \"content\": \"## Property ID\\n\\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\\n2. Enter your [property ID](https://developers.google.com/analytics/devguides/reporting/data/v1/property-id).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f2fb8535-e81e-4ca1-80df-ee68edba6386\",\n \"name\": \"Get Page Engagement Stats for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 700,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1d761425-cebf-4787-b286-b723a0851485\",\n \"name\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1060,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"2024-10-23T00:00:00\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f8dac36b-9e8a-407f-b923-b4cea368f1bc\",\n \"name\": \"Parse data from Google Analytics\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 880,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ed880442-c92e-4347-b277-e8794aea6fbc\",\n \"name\": \"Parse GA data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1240,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"46e092cc-af94-4e64-aa92-931c56345eff\",\n \"name\": \"Get Google Search Results for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1420,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"709d0aaf-bd3d-4d83-9e66-b7df495855bd\",\n \"name\": \"Get Google Search Results for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1780,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7d3835d6-d1f5-4159-8e34-871871e63989\",\n \"name\": \"Parse Google Analytics Data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c018fda4-a2e6-48f4-aabb-039c66374dc7\",\n \"name\": \"Parse Google Analytics Data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1940,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"d8f775cd-daf9-42de-a527-d932be46d945\",\n \"name\": \"Get Country views data for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2120,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7119e57c-cbf4-49a9-b0c9-1f3da1fd2af3\",\n \"name\": \"Get Country views data for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2440,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"546d6cd2-6db6-4276-be35-abbe5a7e9b6a\",\n \"name\": \"Parse Google analytics data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2280,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"87cb137c-686d-49a5-8657-06ed0c5f5c27\",\n \"name\": \"Parse Google analytics data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"06c4478d-a13a-4587-9f1f-451a68798a9f\",\n \"name\": \"Send page data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2760,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $json.urlString }} Data from last week: {{ $('Parse data from Google Analytics').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"4ad522b0-afe4-4eff-aa16-b86cc892ead8\",\n \"name\": \"Send page Search data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google Analytics Data1').item.json.urlString }} Data from last week:{{ $('Parse Google Analytics Data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"07e1eebf-f16a-44c0-83b5-76bf65a3d3fc\",\n \"name\": \"Send country view data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3080,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google analytics data1').item.json.urlString }} Data from last week:{{ $('Parse Google analytics data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"c4648ad8-2377-42a0-a431-931b53631c9d\",\n \"name\": \"Save A.I. output to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 3240,\n 460\n ],\n \"parameters\": {\n \"tableId\": 601,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 5833,\n \"fieldValue\": \"Name of your blog\"\n },\n {\n \"fieldId\": 5831,\n \"fieldValue\": \"={{ $('Send page data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5830,\n \"fieldValue\": \"={{ $('Send page Search data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5832,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5829,\n \"fieldValue\": \"={{ DateTime.now() }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e185c836-c12f-4452-92bd-0daaf33b653a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2760,\n 180\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 441.7412987012988,\n \"height\": 508.95792207792226,\n \"content\": \"## Send data to A.I.\\n\\nFill in your Openrouter A.I. credentials. Use Header Auth.\\n- Username: Authorization\\n- Password: Bearer {insert your API key}\\n\\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1de2d16-d09e-4c74-8be1-f6bab8c34246\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3220,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 331.32883116883124,\n \"height\": 474.88,\n \"content\": \"## Send data to Baserow\\n\\nCreate a table first with the following columns:\\n- Name\\n- Country Views\\n- Page Views\\n- Search Report\\n- Blog \\n\\nEnter the name of your website under \\\"Blog\\\" field.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ac4b5eac-1c84-49ce-9ff7-794f857265b4\",\n \"connections\": {\n \"Parse GA data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send page Search data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data1\": {\n \"main\": [\n [\n {\n \"node\": \"Send page data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page Search data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send country view data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send country view data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Save A.I. output to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse data from Google Analytics\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse data from Google Analytics\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for prior week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse GA data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Google analytics template", "node_count": 22, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for spot workplace discrimination patterns with ai", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.quickChart, n8n-nodes-base.html, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.informationExtractor\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"vzU9QRZsHcyRsord\",\n \"meta\": {\n \"instanceId\": \"a9f3b18652ddc96459b459de4fa8fa33252fb820a9e5a1593074f3580352864a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Spot Workplace Discrimination Patterns with AI\",\n \"tags\": [\n {\n \"id\": \"76EYz9X3GU4PtgSS\",\n \"name\": \"human_resources\",\n \"createdAt\": \"2025-01-30T18:52:17.614Z\",\n \"updatedAt\": \"2025-01-30T18:52:17.614Z\"\n },\n {\n \"id\": \"ey2Mx4vNaV8cKvao\",\n \"name\": \"openai\",\n \"createdAt\": \"2024-12-23T07:10:13.400Z\",\n \"updatedAt\": \"2024-12-23T07:10:13.400Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"b508ab50-158a-4cbf-a52e-f53e1804e770\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 280,\n 380\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"11a1a2d5-a274-44f7-97ca-5666a59fcb31\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2220,\n 800\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"XXXXXX\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"395f7b67-c914-4aae-8727-0573fdbfc6ad\",\n \"name\": \"OpenAI Chat Model2\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2220,\n 380\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"XXXXXX\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ab194a9-b869-4296-aea9-19afcbffc0d7\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 2940,\n 600\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"1eba1dd7-a164-4c70-8c75-759532bd16a0\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 3840,\n 420\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"XXXXXX\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f25f1b07-cded-4ca7-9655-8b8f463089ab\",\n \"name\": \"SET company_name\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 540,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dd256ef7-013c-4769-8580-02c2d902d0b2\",\n \"name\": \"company_name\",\n \"type\": \"string\",\n \"value\": \"=Twilio\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"87264a93-ab97-4e39-8d40-43365189f704\",\n \"name\": \"Define dictionary of demographic keys\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 740,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6ae671be-45d0-4a94-a443-2f1d4772d31b\",\n \"name\": \"asian\",\n \"type\": \"string\",\n \"value\": \"Asian\"\n },\n {\n \"id\": \"6c93370c-996c-44a6-a34c-4cd3baeeb846\",\n \"name\": \"hispanic\",\n \"type\": \"string\",\n \"value\": \"Hispanic or Latinx\"\n },\n {\n \"id\": \"dee79039-6051-4e9d-98b5-63a07d30f6b0\",\n \"name\": \"white\",\n \"type\": \"string\",\n \"value\": \"White\"\n },\n {\n \"id\": \"08d42380-8397-412f-8459-7553e9309b5d\",\n \"name\": \"pacific_islander\",\n \"type\": \"string\",\n \"value\": \"Native Hawaiian or other Pacific Islander\"\n },\n {\n \"id\": \"09e8ebc5-e7e7-449a-9036-9b9b54cdc828\",\n \"name\": \"black\",\n \"type\": \"string\",\n \"value\": \"Black or African American\"\n },\n {\n \"id\": \"39e910f8-3a8b-4233-a93a-3c5693e808c6\",\n \"name\": \"middle_eastern\",\n \"type\": \"string\",\n \"value\": \"Middle Eastern\"\n },\n {\n \"id\": \"169b3471-efa0-476e-aa83-e3f717c568f1\",\n \"name\": \"indigenous\",\n \"type\": \"string\",\n \"value\": \"Indigenous American or Native Alaskan\"\n },\n {\n \"id\": \"b6192296-4efa-4af5-ae02-1e31d28aae90\",\n \"name\": \"male\",\n \"type\": \"string\",\n \"value\": \"Men\"\n },\n {\n \"id\": \"4b322294-940c-459d-b083-8e91e38193f7\",\n \"name\": \"female\",\n \"type\": \"string\",\n \"value\": \"Women\"\n },\n {\n \"id\": \"1940eef0-6b76-4a26-9d8f-7c8536fbcb1b\",\n \"name\": \"trans\",\n \"type\": \"string\",\n \"value\": \"Transgender and/or Non-Binary\"\n },\n {\n \"id\": \"3dba3e18-2bb1-4078-bde9-9d187f9628dd\",\n \"name\": \"hetero\",\n \"type\": \"string\",\n \"value\": \"Heterosexual\"\n },\n {\n \"id\": \"9b7d10ad-1766-4b18-a230-3bd80142b48c\",\n \"name\": \"lgbtqia\",\n \"type\": \"string\",\n \"value\": \"LGBTQ+\"\n },\n {\n \"id\": \"458636f8-99e8-4245-9950-94e4cf68e371\",\n \"name\": \"nondisabled\",\n \"type\": \"string\",\n \"value\": \"Non-Disabled\"\n },\n {\n \"id\": \"a466e258-7de1-4453-a126-55f780094236\",\n \"name\": \"disabled\",\n \"type\": \"string\",\n \"value\": \"People with Disabilities\"\n },\n {\n \"id\": \"98735266-0451-432f-be7c-efcb09512cb1\",\n \"name\": \"caregiver\",\n \"type\": \"string\",\n \"value\": \"Caregivers\"\n },\n {\n \"id\": \"ebe2353c-9ff5-47bc-8c11-b66d3436f5b4\",\n \"name\": \"parent\",\n \"type\": \"string\",\n \"value\": \"Parents/Guardians\"\n },\n {\n \"id\": \"ab51c80c-d81d-41ab-94d9-c0a263743c17\",\n \"name\": \"nonparent\",\n \"type\": \"string\",\n \"value\": \"Not a Parent or Caregiver\"\n },\n {\n \"id\": \"cb7df429-c600-43f4-aa7e-dbc2382a85a0\",\n \"name\": \"nonveteran\",\n \"type\": \"string\",\n \"value\": \"Non-Veterans\"\n },\n {\n \"id\": \"dffbdb13-189a-462d-83d1-c5ec39a17d41\",\n \"name\": \"veteran\",\n \"type\": \"string\",\n \"value\": \"Veterans\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"862f1c77-44a8-4d79-abac-33351ebb731b\",\n \"name\": \"ScrapingBee Search Glassdoor\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 940,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://app.scrapingbee.com/api/v1\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"=https://www.glassdoor.com/Search/results.htm?keyword={{ $json.company_name.toLowerCase().urlEncode() }}\"\n },\n {\n \"name\": \"premium_proxy\",\n \"value\": \"true\"\n },\n {\n \"name\": \"block_resources\",\n \"value\": \"false\"\n },\n {\n \"name\": \"stealth_proxy\",\n \"value\": \"true\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XXXXXX\",\n \"name\": \"ScrapingBee Query Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4c9bf05e-9c50-4895-b20b-b7c329104615\",\n \"name\": \"Extract company url path\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1140,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"url_path\",\n \"attribute\": \"href\",\n \"cssSelector\": \"body main div a\",\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"d20bb0e7-4ca7-41d0-a3e9-41abc811b064\",\n \"name\": \"ScrapingBee GET company page contents\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1340,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://app.scrapingbee.com/api/v1\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"=https://www.glassdoor.com{{ $json.url_path }}\"\n },\n {\n \"name\": \"premium_proxy\",\n \"value\": \"true\"\n },\n {\n \"name\": \"block_resources\",\n \"value\": \"false\"\n },\n {\n \"name\": \"stealth_proxy\",\n \"value\": \"true\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XXXXXX\",\n \"name\": \"ScrapingBee Query Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fce70cab-8ce3-4ce2-b040-ce80d66b1e62\",\n \"name\": \"Extract reviews page url path\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1540,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"url_path\",\n \"attribute\": \"href\",\n \"cssSelector\": \"#reviews a\",\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"d2e7fee9-e3d4-42bf-8be6-38b352371273\",\n \"name\": \"ScrapingBee GET Glassdoor Reviews Content\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://app.scrapingbee.com/api/v1\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"=https://www.glassdoor.com{{ $json.url_path }}\"\n },\n {\n \"name\": \"premium_proxy\",\n \"value\": \"True\"\n },\n {\n \"name\": \"block_resources\",\n \"value\": \"False\"\n },\n {\n \"name\": \"stealth_proxy\",\n \"value\": \"true\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XXXXXX\",\n \"name\": \"ScrapingBee Query Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"0c322823-0569-4bd5-9c4e-af3de0f8d7b4\",\n \"name\": \"Extract Overall Review Summary\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1980,\n 260\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"review_summary\",\n \"cssSelector\": \"div[data-test=\\\"review-summary\\\"]\",\n \"returnValue\": \"html\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"851305ba-0837-4be9-943d-7282e8d74aee\",\n \"name\": \"Extract Demographics Module\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1980,\n 520\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"demographics_content\",\n \"cssSelector\": \"div[data-test=\\\"demographics-module\\\"]\",\n \"returnValue\": \"html\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"cf9a6ee2-53b5-4fbf-a36c-4b9dab53b795\",\n \"name\": \"Extract overall ratings and distribution percentages\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2200,\n 200\n ],\n \"parameters\": {\n \"text\": \"={{ $json.review_summary }}\",\n \"options\": {},\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The overall average rating for this company.\"\n },\n {\n \"name\": \"total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The total number of reviews for this company.\"\n },\n {\n \"name\": \"5_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 5 star reviews\"\n },\n {\n \"name\": \"4_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 4 star reviews\"\n },\n {\n \"name\": \"3_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 3 star reviews\"\n },\n {\n \"name\": \"2_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 2 star reviews\"\n },\n {\n \"name\": \"1_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 1 star reviews\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ae164f6e-04e7-4d8b-951e-a17085956f4b\",\n \"name\": \"Extract demographic distributions\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2200,\n 620\n ],\n \"parameters\": {\n \"text\": \"={{ $json.demographics_content }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are an expert extraction algorithm.\\nOnly extract relevant information from the text.\\nIf you do not know the value of an attribute asked to extract, you may use 0 for the attribute's value.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"asian_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as asian.\"\n },\n {\n \"name\": \"asian_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as asian.\"\n },\n {\n \"name\": \"hispanic_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as hispanic.\"\n },\n {\n \"name\": \"hispanic_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as hispanic.\"\n },\n {\n \"name\": \"white_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as white.\"\n },\n {\n \"name\": \"white_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as white.\"\n },\n {\n \"name\": \"pacific_islander_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as native hawaiian or pacific islander.\"\n },\n {\n \"name\": \"pacific_islander_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as native hawaiian or pacific islander.\"\n },\n {\n \"name\": \"black_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as black.\"\n },\n {\n \"name\": \"black_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as black.\"\n },\n {\n \"name\": \"middle_eastern_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as middle eastern.\"\n },\n {\n \"name\": \"middle_eastern_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as middle_eastern.\"\n },\n {\n \"name\": \"indigenous_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as indigenous american or native alaskan.\"\n },\n {\n \"name\": \"indigenous_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as indigenous american or native alaskan.\"\n },\n {\n \"name\": \"male_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as men.\"\n },\n {\n \"name\": \"male_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as men.\"\n },\n {\n \"name\": \"female_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as women.\"\n },\n {\n \"name\": \"female_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as women.\"\n },\n {\n \"name\": \"trans_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as transgender and/or non-binary.\"\n },\n {\n \"name\": \"trans_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as trans and/or non-binary.\"\n },\n {\n \"name\": \"hetero_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as heterosexual.\"\n },\n {\n \"name\": \"hetero_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as heterosexual.\"\n },\n {\n \"name\": \"lgbtqia_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as lgbtqia+.\"\n },\n {\n \"name\": \"lgbtqia_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as lgbtqia+.\"\n },\n {\n \"name\": \"nondisabled_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as non-disabled.\"\n },\n {\n \"name\": \"nondisabled_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as non-disabled.\"\n },\n {\n \"name\": \"disabled_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as people with disabilities.\"\n },\n {\n \"name\": \"disabled_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as people with disabilities.\"\n },\n {\n \"name\": \"caregiver_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as caregivers.\"\n },\n {\n \"name\": \"caregiver_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as caregivers.\"\n },\n {\n \"name\": \"parent_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as parents/guardians.\"\n },\n {\n \"name\": \"parent_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as parents/guardians.\"\n },\n {\n \"name\": \"nonparent_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as not a parent or caregiver.\"\n },\n {\n \"name\": \"nonparent_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as not a parent or guardian.\"\n },\n {\n \"name\": \"nonveteran_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as non-veterans.\"\n },\n {\n \"name\": \"nonveteran_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as non-veterans.\"\n },\n {\n \"name\": \"veteran_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as veterans.\"\n },\n {\n \"name\": \"veteran_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as veterans.\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c8d9e45c-7d41-47bd-b9a9-0fa70de5d154\",\n \"name\": \"Define contributions to variance\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2560,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7360b2c2-1e21-45de-8d1a-e72b8abcb56b\",\n \"name\": \"contribution_to_variance.5_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['5_star_distribution_percentage'] / 100) * Math.pow(5 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"acdd308a-fa33-4e33-b71b-36b9441bfa06\",\n \"name\": \"contribution_to_variance.4_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['4_star_distribution_percentage'] / 100) * Math.pow(4 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"376818f3-d429-4abe-8ece-e8e9c5585826\",\n \"name\": \"contribution_to_variance.3_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['3_star_distribution_percentage'] / 100) * Math.pow(3 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"620d5c37-8b93-4d39-9963-b7ce3a7f431e\",\n \"name\": \"contribution_to_variance.2_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['2_star_distribution_percentage'] / 100) * Math.pow(2 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"76357980-4f9b-4b14-be68-6498ba25af67\",\n \"name\": \"contribution_to_variance.1_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['1_star_distribution_percentage'] / 100) * Math.pow(1 - $json.output.average_rating,2) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"8ea03017-d5d6-46ef-a5f1-dae4372f6256\",\n \"name\": \"Set variance and std_dev\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2740,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"3217d418-f1b0-45ff-9f9a-6e6145cc29ca\",\n \"name\": \"variance\",\n \"type\": \"number\",\n \"value\": \"={{ $json.contribution_to_variance.values().sum() }}\"\n },\n {\n \"id\": \"acdb9fea-15ec-46ed-bde9-073e93597f17\",\n \"name\": \"average_rating\",\n \"type\": \"number\",\n \"value\": \"={{ $('Extract overall ratings and distribution percentages').item.json.output.average_rating }}\"\n },\n {\n \"id\": \"1f3a8a29-4bd4-4b40-8694-c74a0285eadb\",\n \"name\": \"total_number_of_reviews\",\n \"type\": \"number\",\n \"value\": \"={{ $('Extract overall ratings and distribution percentages').item.json.output.total_number_of_reviews }}\"\n },\n {\n \"id\": \"1906c796-1964-446b-8b56-d856269da938\",\n \"name\": \"std_dev\",\n \"type\": \"number\",\n \"value\": \"={{ Math.sqrt($json.contribution_to_variance.values().sum()) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"0570d531-8480-4446-8f02-18640b4b891e\",\n \"name\": \"Calculate P-Scores\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3340,\n 440\n ],\n \"parameters\": {\n \"jsCode\": \"// Approximate CDF for standard normal distribution\\nfunction normSDist(z) {\\n const t = 1 / (1 + 0.3275911 * Math.abs(z));\\n const d = 0.254829592 * t - 0.284496736 * t * t + 1.421413741 * t * t * t - 1.453152027 * t * t * t * t + 1.061405429 * t * t * t * t * t;\\n return 0.5 * (1 + Math.sign(z) * d * Math.exp(-z * z / 2));\\n}\\n\\nfor (const item of $input.all()) {\\n if (!item.json.population_analysis.p_scores) {\\n item.json.population_analysis.p_scores = {};\\n }\\n\\n for (const score of Object.keys(item.json.population_analysis.z_scores)) {\\n // Check if review count exists and is greater than zero\\n if (item.json.population_analysis.review_count[score] > 0) {\\n // Apply the p_score formula: 2 * NORM.S.DIST(-ABS(z_score))\\n const p_score = 2 * normSDist(-Math.abs(item.json.population_analysis.z_scores[score]));\\n\\n // Store the calculated p_score\\n item.json.population_analysis.p_scores[score] = p_score;\\n } else {\\n // Remove z_scores, effect_sizes, and p_scores for groups with no reviews\\n delete item.json.population_analysis.z_scores[score];\\n delete item.json.population_analysis.effect_sizes[score];\\n delete item.json.population_analysis.p_scores[score];\\n }\\n }\\n}\\n\\nreturn $input.all();\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"0bdb9732-67ef-440d-bdd2-42c4f64ff6b6\",\n \"name\": \"Sort Effect Sizes\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3540,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"61cf92ba-bc4e-40b8-a234-9b993fd24019\",\n \"name\": \"population_analysis.effect_sizes\",\n \"type\": \"object\",\n \"value\": \"={{ Object.fromEntries(Object.entries($json.population_analysis.effect_sizes).sort(([,a],[,b]) => a-b )) }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"fd9026ef-e993-410a-87d6-40a3ad10b7a7\",\n \"name\": \"Calculate Z-Scores and Effect Sizes\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3140,\n 600\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"790a53e8-5599-45d3-880e-ab1ad7d165d2\",\n \"name\": \"population_analysis.z_scores.asian\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.asian_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.asian_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"ebd61097-8773-45b9-a8e6-cdd840d73650\",\n \"name\": \"population_analysis.effect_sizes.asian\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.asian_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"627b1293-efdc-485a-83c8-bd332d6dc225\",\n \"name\": \"population_analysis.z_scores.hispanic\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hispanic_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.hispanic_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"822028d0-e94f-4cf7-9e13-8f8cc5c72ec0\",\n \"name\": \"population_analysis.z_scores.white\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.white_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.white_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"d32321f9-0fcf-4e54-9059-c3fd5a901ce0\",\n \"name\": \"population_analysis.z_scores.pacific_islander\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.pacific_islander_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.pacific_islander_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"e212d683-247f-45c4-9668-c290230a10ed\",\n \"name\": \"population_analysis.z_scores.black\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.black_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.black_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"882049c3-eb81-4c09-af0c-5c79b0ef0154\",\n \"name\": \"population_analysis.z_scores.middle_eastern\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.middle_eastern_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.middle_eastern_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"9bdc187f-3d8d-4030-9143-479eff441b7e\",\n \"name\": \"population_analysis.z_scores.indigenous\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.indigenous_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.indigenous_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"0cf11453-dbae-4250-a01a-c98e35aab224\",\n \"name\": \"population_analysis.z_scores.male\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.male_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.male_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"35a18fbc-7c2c-40fe-829d-2fffbdb13bb8\",\n \"name\": \"population_analysis.z_scores.female\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.female_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.female_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"a6e17c1b-a89b-4c05-8184-10f7248c159f\",\n \"name\": \"population_analysis.z_scores.trans\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.trans_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.trans_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"5e7dbccf-3011-4dba-863c-5390c1ee9e50\",\n \"name\": \"population_analysis.z_scores.hetero\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hetero_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.hetero_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"1872152f-2c7e-4c24-bcd5-e2777616bfe2\",\n \"name\": \"population_analysis.z_scores.lgbtqia\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.lgbtqia_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.lgbtqia_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"91b2cb00-173e-421a-929a-51d2a6654767\",\n \"name\": \"population_analysis.z_scores.nondisabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nondisabled_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nondisabled_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"8bb7429e-0500-482c-8e8d-d2c63733ffe1\",\n \"name\": \"population_analysis.z_scores.disabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.disabled_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.disabled_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"89f00d0f-80db-4ad9-bf60-9385aa3d915b\",\n \"name\": \"population_analysis.z_scores.caregiver\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.caregiver_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.caregiver_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"0bb2b96c-d882-4ac1-9432-9fce06b26cf5\",\n \"name\": \"population_analysis.z_scores.parent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.parent_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.parent_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"9aae7169-1a25-4fab-b940-7f2cd7ef39d9\",\n \"name\": \"population_analysis.z_scores.nonparent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonparent_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nonparent_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"aac189a0-d6fc-4581-a15d-3e75a0cb370a\",\n \"name\": \"population_analysis.z_scores.nonveteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonveteran_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nonveteran_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"d40f014a-9c1d-4aea-88ac-d8a3de143931\",\n \"name\": \"population_analysis.z_scores.veteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.veteran_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.veteran_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"67e0394f-6d55-4e80-8a7d-814635620b1d\",\n \"name\": \"population_analysis.effect_sizes.hispanic\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hispanic_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"65cd3a22-2c97-4da1-8fcc-cc1af39118f2\",\n \"name\": \"population_analysis.effect_sizes.white\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.white_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"a03bdf0f-e294-4a01-bb08-ddc16e9997a5\",\n \"name\": \"population_analysis.effect_sizes.pacific_islander\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.pacific_islander_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"b0bdc40e-ed5f-475b-9d8b-8cf5beff7002\",\n \"name\": \"population_analysis.effect_sizes.black\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.black_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"45cac3f0-7270-4fa4-8fc4-94914245a77d\",\n \"name\": \"population_analysis.effect_sizes.middle_eastern\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.middle_eastern_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"cf5b7650-8766-45f6-8241-49aea62bf619\",\n \"name\": \"population_analysis.effect_sizes.indigenous\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.indigenous_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"7c6a8d38-02b7-47a1-af44-5eebfb4140ec\",\n \"name\": \"population_analysis.effect_sizes.male\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.male_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"4bf3dba9-4d07-4315-83ce-5fba288a00c9\",\n \"name\": \"population_analysis.effect_sizes.female\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.female_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"d5e980b8-d7a8-4d4c-bcd9-fd9cbd20c729\",\n \"name\": \"population_analysis.effect_sizes.trans\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.trans_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"2c8271c1-b612-4292-9d48-92c342b83727\",\n \"name\": \"population_analysis.effect_sizes.hetero\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hetero_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"996f2ea0-2e46-424b-9797-2d58fd56b1d3\",\n \"name\": \"population_analysis.effect_sizes.lgbtqia\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.lgbtqia_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"8c987b6e-764d-422e-82de-00bd89269b22\",\n \"name\": \"population_analysis.effect_sizes.nondisabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nondisabled_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"ab796bb7-06ff-4282-b4b3-eefd129c743e\",\n \"name\": \"population_analysis.effect_sizes.disabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.disabled_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"a17bf413-a098-4f24-8162-821a6a0ddb5e\",\n \"name\": \"population_analysis.effect_sizes.caregiver\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.caregiver_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"99911e1e-06e8-4bbd-915d-b92b8b37b374\",\n \"name\": \"population_analysis.effect_sizes.parent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.parent_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"4ddf729b-361e-4d81-a67c-b6c18509e60b\",\n \"name\": \"population_analysis.effect_sizes.nonparent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonparent_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"725b8abb-7f72-45fc-a0c0-0e0a4f2cb131\",\n \"name\": \"population_analysis.effect_sizes.nonveteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonveteran_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"20e54fa5-2faa-4134-90e5-81224ec9659e\",\n \"name\": \"population_analysis.effect_sizes.veteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.veteran_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"2cc6465a-3a1c-4eb5-9e5a-72d41049d81e\",\n \"name\": \"population_analysis.review_count.asian\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.asian_total_number_of_reviews }}\"\n },\n {\n \"id\": \"0a5f6aae-ba21-47b5-8af8-fec2256e4df6\",\n \"name\": \"population_analysis.review_count.hispanic\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.hispanic_total_number_of_reviews }}\"\n },\n {\n \"id\": \"ae124587-7e24-4c1a-a002-ed801f859c30\",\n \"name\": \"population_analysis.review_count.pacific_islander\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.pacific_islander_total_number_of_reviews }}\"\n },\n {\n \"id\": \"fc790196-ca8e-4069-a093-87a413ebbf3e\",\n \"name\": \"population_analysis.review_count.black\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.black_total_number_of_reviews }}\"\n },\n {\n \"id\": \"7fd72701-781e-4e33-b000-174a853b172b\",\n \"name\": \"population_analysis.review_count.middle_eastern\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.middle_eastern_total_number_of_reviews }}\"\n },\n {\n \"id\": \"3751e7da-11a7-4af3-8aa6-1c6d53bcf27d\",\n \"name\": \"population_analysis.review_count.indigenous\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.indigenous_total_number_of_reviews }}\"\n },\n {\n \"id\": \"9ee0cac9-d2dd-4ba0-90ee-b2cdd22d9b77\",\n \"name\": \"population_analysis.review_count.male\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.male_total_number_of_reviews }}\"\n },\n {\n \"id\": \"ae7fcdc7-d373-4c24-9a65-94bd2b5847a8\",\n \"name\": \"population_analysis.review_count.female\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.female_total_number_of_reviews }}\"\n },\n {\n \"id\": \"3f53d065-269f-425a-b27d-dc5a3dbb6141\",\n \"name\": \"population_analysis.review_count.trans\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.trans_total_number_of_reviews }}\"\n },\n {\n \"id\": \"d15e976e-7599-4df0-9e65-8047b7a4cda8\",\n \"name\": \"population_analysis.review_count.hetero\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.hetero_total_number_of_reviews }}\"\n },\n {\n \"id\": \"c8b786d3-a980-469f-bf0e-de70ad44f0ea\",\n \"name\": \"population_analysis.review_count.lgbtqia\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.lgbtqia_total_number_of_reviews }}\"\n },\n {\n \"id\": \"e9429215-0858-4482-964a-75de7978ecbb\",\n \"name\": \"population_analysis.review_count.nondisabled\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.nondisabled_total_number_of_reviews }}\"\n },\n {\n \"id\": \"2c6e53c4-eab1-42aa-b956-ee882832f569\",\n \"name\": \"population_analysis.review_count.disabled\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.disabled_total_number_of_reviews }}\"\n },\n {\n \"id\": \"b5edfa25-ab11-4b94-9670-4d5589a62498\",\n \"name\": \"population_analysis.review_count.caregiver\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.caregiver_total_number_of_reviews }}\"\n },\n {\n \"id\": \"41084e96-c42f-4bb0-ac1a-883b46537fca\",\n \"name\": \"population_analysis.review_count.parent\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.parent_total_number_of_reviews }}\"\n },\n {\n \"id\": \"96496a38-9311-4ade-bd2f-2943d1d92314\",\n \"name\": \"population_analysis.review_count.nonparent\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.nonparent_total_number_of_reviews }}\"\n },\n {\n \"id\": \"5071771d-5f41-43cb-a8ce-e4e40ed3519b\",\n \"name\": \"population_analysis.review_count.nonveteran\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.nonveteran_total_number_of_reviews }}\"\n },\n {\n \"id\": \"2358e782-70da-4964-b625-5fe1946b5250\",\n \"name\": \"population_analysis.review_count.veteran\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.veteran_total_number_of_reviews }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"85536931-839a-476b-b0dd-fa6d01c6d5c1\",\n \"name\": \"Format dataset for scatterplot\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3340,\n 760\n ],\n \"parameters\": {\n \"jsCode\": \"// Iterate through the input data and format the dataset for QuickChart\\nfor (const item of $input.all()) {\\n // Ensure the data object exists and initialize datasets\\n item.json.data = {\\n datasets: []\\n };\\n\\n const z_scores = item.json.population_analysis.z_scores;\\n const effect_sizes = item.json.population_analysis.effect_sizes;\\n const review_count = item.json.population_analysis.review_count;\\n\\n // Ensure z_scores, effect_sizes, and review_count are defined and are objects\\n if (z_scores && effect_sizes && review_count && typeof z_scores === 'object' && typeof effect_sizes === 'object' && typeof review_count === 'object') {\\n // Initialize the dataset object\\n const dataset = {\\n label: 'Demographics Data',\\n data: []\\n };\\n\\n // Iterate through the demographic keys\\n for (const key in z_scores) {\\n // Check if review count for the demographic is greater than 0\\n if (z_scores.hasOwnProperty(key) && effect_sizes.hasOwnProperty(key) && review_count[key] > 0) {\\n\\n // Add each demographic point to the dataset\\n dataset.data.push({\\n x: z_scores[key], // x = z_score\\n y: effect_sizes[key], // y = effect_size\\n label: $('Define dictionary of demographic keys').first().json[key],\\n });\\n }\\n }\\n\\n // Only add the dataset if it contains data\\n if (dataset.data.length > 0) {\\n item.json.data.datasets.push(dataset);\\n }\\n\\n delete item.json.population_analysis\\n }\\n}\\n\\n// Return the updated input with the data object containing datasets and labels\\nreturn $input.all();\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"957b9f6c-7cf8-4ec6-aec7-a7d59ed3a4ad\",\n \"name\": \"Specify additional parameters for scatterplot\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3540,\n 760\n ],\n \"parameters\": {\n \"options\": {\n \"ignoreConversionErrors\": false\n },\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5cd507f6-6835-4d2e-8329-1b5d24a3fc15\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"scatter\"\n },\n {\n \"id\": \"80b6f981-e3c7-4c6e-a0a1-f30d028fe15e\",\n \"name\": \"options\",\n \"type\": \"object\",\n \"value\": \"={\\n \\\"title\\\": {\\n \\\"display\\\": true,\\n \\\"position\\\": \\\"top\\\",\\n \\\"fontSize\\\": 12,\\n \\\"fontFamily\\\": \\\"sans-serif\\\",\\n \\\"fontColor\\\": \\\"#666666\\\",\\n \\\"fontStyle\\\": \\\"bold\\\",\\n \\\"padding\\\": 10,\\n \\\"lineHeight\\\": 1.2,\\n \\\"text\\\": \\\"{{ $('SET company_name').item.json.company_name }} Workplace Population Bias\\\"\\n },\\n \\\"legend\\\": {\\n \\\"display\\\": false\\n },\\n \\\"scales\\\": {\\n \\\"xAxes\\\": [\\n {\\n \\\"scaleLabel\\\": {\\n \\\"display\\\": true,\\n \\\"labelString\\\": \\\"Z-Score\\\",\\n \\\"fontColor\\\": \\\"#666666\\\",\\n \\\"fontSize\\\": 12,\\n \\\"fontFamily\\\": \\\"sans-serif\\\"\\n }\\n }\\n ],\\n \\\"yAxes\\\": [\\n {\\n \\\"scaleLabel\\\": {\\n \\\"display\\\": true,\\n \\\"labelString\\\": \\\"Effect Score\\\",\\n \\\"fontColor\\\": \\\"#666666\\\",\\n \\\"fontSize\\\": 12,\\n \\\"fontFamily\\\": \\\"sans-serif\\\"\\n }\\n }\\n ]\\n },\\n \\\"plugins\\\": {\\n \\\"datalabels\\\": {\\n \\\"display\\\": true,\\n \\\"align\\\": \\\"top\\\",\\n \\\"anchor\\\": \\\"center\\\",\\n \\\"backgroundColor\\\": \\\"#eee\\\",\\n \\\"borderColor\\\": \\\"#ddd\\\",\\n \\\"borderRadius\\\": 6,\\n \\\"borderWidth\\\": 1,\\n \\\"padding\\\": 4,\\n \\\"color\\\": \\\"#000\\\",\\n \\\"font\\\": {\\n \\\"family\\\": \\\"sans-serif\\\",\\n \\\"size\\\": 10,\\n \\\"style\\\": \\\"normal\\\"\\n }\\n }\\n }\\n }\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"a937132c-43fc-4fa0-ae35-885da89e51d1\",\n \"name\": \"Quickchart Scatterplot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3740,\n 760\n ],\n \"parameters\": {\n \"url\": \"https://quickchart.io/chart\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"c\",\n \"value\": \"={{ $json.toJsonString() }}\"\n },\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n },\n {\n \"name\": \"encoding\",\n \"value\": \"url\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ede1931e-bac8-4279-b3a7-5980a190e324\",\n \"name\": \"QuickChart Bar Chart\",\n \"type\": \"n8n-nodes-base.quickChart\",\n \"position\": [\n 3740,\n 560\n ],\n \"parameters\": {\n \"data\": \"={{ $json.population_analysis.effect_sizes.values() }}\",\n \"output\": \"bar_chart\",\n \"labelsMode\": \"array\",\n \"labelsArray\": \"={{ $json.population_analysis.effect_sizes.keys() }}\",\n \"chartOptions\": {\n \"format\": \"png\"\n },\n \"datasetOptions\": {\n \"label\": \"={{ $('SET company_name').item.json.company_name }} Effect Size on Employee Experience\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6122fec0-619c-48d3-ad2c-05ed55ba2275\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 480,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 3741.593083126444,\n \"height\": 1044.8111554136713,\n \"content\": \"# Spot Workplace Discrimination Patterns using ScrapingBee, Glassdoor, OpenAI, and QuickChart\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5cda63e8-f31b-46f6-8cb2-41d1856ac537\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 900,\n 180\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 1237.3377621763516,\n \"height\": 575.9439659309116,\n \"content\": \"## Use ScrapingBee to gather raw data from Glassdoor\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"28d247b2-9020-4280-83d2-d6583622c0b7\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 804.3951263154196,\n \"height\": 125.73173301324687,\n \"content\": \"### Due to javascript restrictions, a normal HTTP request cannot be used to gather user-reported details from Glassdoor. \\n\\nInstead, [ScrapingBee](https://www.scrapingbee.com/) offers a great tool with a very generous package of free tokens per month, which works out to roughly 4-5 runs of this workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d65a239c-06d2-470b-b24a-23ec00a9f148\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2180,\n 99.69933502879758\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 311.0523273992095,\n \"height\": 843.8786512173932,\n \"content\": \"## Extract details with AI\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3cffd188-62a1-43a7-a67f-548e21d2b187\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2516.1138215303854,\n 100\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 423.41585047129973,\n \"height\": 309.71740416262054,\n \"content\": \"### Calculate variance and standard deviation from review rating distributions.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b5015c07-03e3-47d4-9469-e831b2c755c0\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3320,\n 706.46982689582\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 639.5579220386832,\n \"height\": 242.80759628871897,\n \"content\": \"## Formatting datasets for Scatterplot\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e52bb9d9-617a-46f5-b217-a6f670b6714c\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 120\n ],\n \"parameters\": {\n \"width\": 356.84794255678776,\n \"height\": 186.36110628732342,\n \"content\": \"## How this workflow works\\n1. Replace ScrapingBee and OpenAI credentials\\n2. Replace company_name with company of choice (workflow performs better with larger US-based organizations)\\n3. Preview QuickChart data visualizations and AI data analysis\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d83c07a3-04ed-418f-94f1-e70828cba8b2\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 880\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 356.84794255678776,\n \"height\": 181.54335665904924,\n \"content\": \"### Inspired by [Wes Medford's Medium Post](https://medium.com/@wryanmedford/an-open-letter-to-twilios-leadership-f06f661ecfb4)\\n\\nWes performed the initial data analysis highlighting problematic behaviors at Twilio. I wanted to try and democratize the data analysis they performed for those less technical.\\n\\n**Hi, Wes!**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ed0c1b4a-99fe-4a27-90bb-ac38dd20810b\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4020,\n 880\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 847.5931795867759,\n \"height\": 522.346478008115,\n \"content\": \"%20%7B%0A%20%20%20%20%20%20%20%20%20%20var%20idx%20%3D%20context.dataIndex%3B%0A%20%20%20%20%20%20%20%20%20%20return%20context.chart.data.labels%5Bidx%5D%3B%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D%0A%20%20%7D%0A%7D%0A#full-width)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b92edf8-3a58-4931-abf4-d9c2f57cfa32\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3980,\n 800\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 989.7621518164046,\n \"height\": 636.6345107975716,\n \"content\": \"## Example Scatterplot output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bd6859b4-096c-401e-9bce-91e970e1afd1\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2540,\n 800\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 737.6316136259719,\n \"height\": 444.9087184962878,\n \"content\": \"## Glossary\\n**Z-Score** – A statistical measure that indicates how many standard deviations a data point is from the mean. In this analysis, a negative z-score suggests a group rates their workplace experience lower than the average, while a positive z-score suggests a better-than-average experience.\\n\\n**Effect Size** – A measure of the magnitude of difference between groups. Larger negative effect sizes indicate a more substantial disparity in workplace experiences for certain groups, making it useful for identifying meaningful gaps beyond just statistical significance.\\n\\n**P-Score (P-Value)** – The probability that the observed differences occurred by chance. A lower p-score (typically below 0.05) suggests the difference is statistically significant and unlikely to be random. In this analysis, high p-scores confirm that the disparities in ratings for marginalized groups are unlikely to be due to chance alone.\\n\\n### Relevance to This Analysis\\nThese metrics help quantify workplace disparities among demographic groups. Z-scores show which groups report better or worse experiences, effect sizes reveal the severity of these differences, and p-scores confirm whether the disparities are statistically meaningful. This data allows for a more informed discussion about workplace equity and areas needing improvement.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5af3ef87-ed4b-481e-b1ba-d44ffb7551d8\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4140,\n 80\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 643.5995639515581,\n \"height\": 646.0030521944287,\n \"content\": \"## Example AI Analysis (Twilio Example)\\n\\n### Key Takeaways\\n1. **Significant Disparity Among Disabled Employees**\\nDisabled employees reported the lowest average ratings, with a z-score of -5.50, indicating a far worse experience compared to their non-disabled peers. \\n2. **LGBTQIA Community's Challenges**\\nMembers of the LGBTQIA community showed significantly lower ratings (z-score of -2.53), suggesting they may experience a workplace environment that is less inclusive or supportive compared to others.\\n3. **Transgender Experiences Are Particularly Negative**\\nTransgender employees rated their experiences considerably lower (z-score of -2.91), highlighting a critical area for improvement in workplace culture and acceptance.\\n4. **Veterans Report Higher Satisfaction**\\nIn contrast, veterans had the highest ratings (z-score of 1.54), which could indicate a supportive environment or programs tailored to their needs.\\n5. **Overall Gender Discrepancies**\\nA noticeable gap exists in average ratings by gender, with female employees scoring below male employees, suggesting potential gender biases or challenges in workplace dynamics.\\n\\n### Employee Experiences\\n#### Perceptions of Workplace Environment\\nFor members of groups reporting significantly worse experiences, such as disabled, transgender, and LGBTQIA employees, the workplace may feel alienating or unwelcoming. These individuals might perceive that their contributions are undervalued or overlooked and that necessary support systems are lacking, creating a culture of exclusion rather than one of inclusivity. This feeling of being marginalized can lead to poorer engagement, higher turnover rates, and diminished overall job satisfaction, adversely impacting both employees and the organization.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a39cdbe7-d6ae-4a84-98c7-52ebf98242f3\",\n \"name\": \"Text Analysis of Bias Data\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 3720,\n 280\n ],\n \"parameters\": {\n \"text\": \"=This data compares the average rating given by different demographic groups against a baseline (the overall mean rating).\\n\\nObjective:\\n1. Analyze the data and offer between 2 and 5 key takeaways with a title and short (one-sentence) summary.\\n2. Below the key takeaways, Include a heading called \\\"Employee Experiences\\\". Under this heading, include a subheader and paragraph describing the possible perception of the workplace for members of any groups reporting significantly worse (or better) experiences than others.\\n3. Ensure there are between 2-5 key takeaways and employee experiences\\n\\nData for analysis:\\n{{ $json.population_analysis.toJsonString() }}\",\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.4\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ff1df786-ebaf-4ed0-aeca-1872b93ef275\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Calculate Z-Scores and Effect Sizes\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SET company_name\": {\n \"main\": [\n [\n {\n \"node\": \"Define dictionary of demographic keys\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Text Analysis of Bias Data\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Sort Effect Sizes\": {\n \"main\": [\n [\n {\n \"node\": \"QuickChart Bar Chart\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Text Analysis of Bias Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calculate P-Scores\": {\n \"main\": [\n [\n {\n \"node\": \"Sort Effect Sizes\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Extract demographic distributions\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model2\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Extract overall ratings and distribution percentages\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract company url path\": {\n \"main\": [\n [\n {\n \"node\": \"ScrapingBee GET company page contents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set variance and std_dev\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Demographics Module\": {\n \"main\": [\n [\n {\n \"node\": \"Extract demographic distributions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"ScrapingBee Search Glassdoor\": {\n \"main\": [\n [\n {\n \"node\": \"Extract company url path\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract reviews page url path\": {\n \"main\": [\n [\n {\n \"node\": \"ScrapingBee GET Glassdoor Reviews Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Overall Review Summary\": {\n \"main\": [\n [\n {\n \"node\": \"Extract overall ratings and distribution percentages\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Format dataset for scatterplot\": {\n \"main\": [\n [\n {\n \"node\": \"Specify additional parameters for scatterplot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Define contributions to variance\": {\n \"main\": [\n [\n {\n \"node\": \"Set variance and std_dev\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract demographic distributions\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"SET company_name\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calculate Z-Scores and Effect Sizes\": {\n \"main\": [\n [\n {\n \"node\": \"Calculate P-Scores\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Format dataset for scatterplot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Define dictionary of demographic keys\": {\n \"main\": [\n [\n {\n \"node\": \"ScrapingBee Search Glassdoor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"ScrapingBee GET company page contents\": {\n \"main\": [\n [\n {\n \"node\": \"Extract reviews page url path\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"ScrapingBee GET Glassdoor Reviews Content\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Demographics Module\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Extract Overall Review Summary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Specify additional parameters for scatterplot\": {\n \"main\": [\n [\n {\n \"node\": \"Quickchart Scatterplot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract overall ratings and distribution percentages\": {\n \"main\": [\n [\n {\n \"node\": \"Define contributions to variance\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Spot Workplace Discrimination Patterns with AI", "node_count": 38, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger to serpbear analytics template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 10\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"qmmXKcpJOCm9qaCk\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"SERPBear analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"2ad0eb40-6628-4c6b-bc15-7081e7712f1a\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 260,\n 380\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"5a3c9ad8-a562-4bb0-bb11-c325552d8101\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 260,\n 160\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"bdfa7388-f9b3-4145-90de-2e58138e14bf\",\n \"name\": \"Get data from SerpBear\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 580,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://myserpbearinstance.com/api/keyword?id=22\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"domain\",\n \"value\": \"rumjahn.com\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"3fshHb4fyI5XfLyq\",\n \"name\": \"Header Auth account 6\"\n }\n },\n \"executeOnce\": false,\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"c169f4e3-ab60-4b46-9f49-cf27a13dd7c6\",\n \"name\": \"Parse data from SerpBear\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 820,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"const keywords = items[0].json.keywords;\\nconst today = new Date().toISOString().split('T')[0];\\n\\n// Create summary for each keyword\\nconst keywordSummaries = keywords.map(kw => {\\n const position = kw.position || 0;\\n const lastWeekPositions = Object.values(kw.history || {}).slice(-7);\\n const avgPosition = lastWeekPositions.reduce((a, b) => a + b, 0) / lastWeekPositions.length;\\n \\n return {\\n keyword: kw.keyword,\\n currentPosition: position,\\n averagePosition: Math.round(avgPosition * 10) / 10,\\n trend: position < avgPosition ? 'improving' : position > avgPosition ? 'declining' : 'stable',\\n url: kw.url || 'not ranking'\\n };\\n});\\n\\n// Create the prompt\\nconst prompt = `Here's the SEO ranking data for rumjahn.com as of ${today}:\\n\\n${keywordSummaries.map(kw => `\\nKeyword: \\\"${kw.keyword}\\\"\\nCurrent Position: ${kw.currentPosition}\\n7-Day Average: ${kw.averagePosition}\\nTrend: ${kw.trend}\\nRanking URL: ${kw.url}\\n`).join('\\\\n')}\\n\\nPlease analyze this data and provide:\\n1. Key observations about ranking performance\\n2. Keywords showing the most improvement\\n3. Keywords needing attention\\n4. Suggested actions for improvement`;\\n\\nreturn {\\n prompt\\n};\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"cc6e16a7-db46-42fe-837a-59ce635c906c\",\n \"name\": \"Send data to A.I. for analysis\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1060,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. This is keyword data for my site. Can you summarize the data into a table and then give me some suggestions:{{ encodeURIComponent($json.prompt)}}\\\" \\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"WY7UkF14ksPKq3S8\",\n \"name\": \"Header Auth account 2\"\n }\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"a623f06c-1dfe-4d04-a7fd-fed7049a7588\",\n \"name\": \"Save data to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 1340,\n 260\n ],\n \"parameters\": {\n \"tableId\": 644,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 6264,\n \"fieldValue\": \"={{ DateTime.now().toFormat('yyyy-MM-dd') }}\"\n },\n {\n \"fieldId\": 6265,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 6266,\n \"fieldValue\": \"Rumjahn\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"credentials\": {\n \"baserowApi\": {\n \"id\": \"8w0zXhycIfCAgja3\",\n \"name\": \"Baserow account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e8048faf-bbed-4e48-b273-d1a50a767e76\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 220,\n -360\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 614.709677419355,\n \"height\": 208.51612903225802,\n \"content\": \"## Send Matomo analytics to A.I. and save results to baserow\\n\\nThis workflow will check the Google keywords for your site and it's rank.\\n\\n[💡 You can read more about this workflow here](https://rumjahn.com/how-to-create-an-a-i-agent-to-analyze-serpbear-keyword-rankings-using-n8n-for-free-without-any-coding-skills-required/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1a18e685-79db-423f-992a-5e0d4ddeb672\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 520,\n -80\n ],\n \"parameters\": {\n \"width\": 214.75050403225822,\n \"height\": 531.7318548387107,\n \"content\": \"## Get SERPBear Data\\n \\n1. Enter your SerpBear API keys and URL. You need to find your website ID which is probably 1.\\n2. Navigate to Administration > Personal > Security > Auth tokens within your Matomo dashboard. Click on Create new token and provide a purpose for reference.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"99895baf-75d0-4af2-87de-5b8951186e78\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 980,\n -60\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 225.99936321742769,\n \"height\": 508.95792207792226,\n \"content\": \"## Send data to A.I.\\n\\nFill in your Openrouter A.I. credentials. Use Header Auth.\\n- Username: Authorization\\n- Password: Bearer {insert your API key}\\n\\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"07d03511-98b0-4f4a-8e68-96ca177fb246\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1240,\n -40\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 331.32883116883124,\n \"height\": 474.88,\n \"content\": \"## Send data to Baserow\\n\\nCreate a table first with the following columns:\\n- Date\\n- Note\\n- Blog\\n\\nEnter the name of your website under \\\"Blog\\\" field.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"8b7e7da7-1965-4ca4-8e15-889eda819723\",\n \"connections\": {\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get data from SerpBear\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get data from SerpBear\": {\n \"main\": [\n [\n {\n \"node\": \"Parse data from SerpBear\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse data from SerpBear\": {\n \"main\": [\n [\n {\n \"node\": \"Send data to A.I. for analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send data to A.I. for analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Save data to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get data from SerpBear\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "SERPBear analytics template", "node_count": 10, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger to umami analytics template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"eZT6SZ4Kvmq5TzyQ\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Umami analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"8a54ac1c-a072-42e6-a3ba-8cde33475eb5\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 460,\n 220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e81c9be0-f59d-467e-9bda-eeb2d66ed31e\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 460,\n 380\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 4\n ]\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"01b04872-9aea-4834-8df5-f6c91914133d\",\n \"name\": \"Get view stats from Umami\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 760,\n 260\n ],\n \"parameters\": {\n \"url\": \"=https://umami.mydomain.com/api/websites/86d4095c-a2a8-4fc8-9521-103e858e2b41/event-data/stats?startAt={{ DateTime.now().minus({ days: 7 }).toMillis() }}&endAt={{ DateTime.now().toMillis() }}&unit=hour&timezone=Asia%2FHong_Kong\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"FKsKXvQUlaX5qt9n\",\n \"name\": \"Header Auth account 3\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"38d342e3-10ad-4260-8f44-5a3233ec3166\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 660,\n -260\n ],\n \"parameters\": {\n \"width\": 504.88636363636317,\n \"content\": \"## Send data from Umami to A.I. and then save to Baserow\\n\\nYou can find out more about the stats available in the [Umami API](https://umami.is/docs/api/website-stats-api)\\n\\nRead the [case study here](https://rumjahn.com/how-to-analyze-umami-data-using-n8n-and-a-i-to-improve-seo-and-uncover-hidden-insights-for-better-content-optimization/).\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"18c997fe-61b1-464a-8bb5-fcdc017dd1f6\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 660,\n -60\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 393.16558441558414,\n \"height\": 504.17207792207796,\n \"content\": \"## Get summary stats from Umami\\n\\nIt will get: Pageviews, Visitors, Visits, Bounces, Total Time\\n\\nYou need to change the URL to your website. https://{your website}/api/websites/{website ID}/\\n\\nYou can find your ID by going to your Umami account -> Settings -> Edit (next to domain)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bfdc04a2-57fa-4a8a-b412-39047cebb370\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1080,\n -60\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 216.5746753246753,\n \"height\": 502.37012987012963,\n \"content\": \"## Send data to A.I.\\n\\nTo use Openrouter, you need to register for an account.\\nThen add header authorization credentials.\\nUsername: Authroization\\nPassword: Bearer {Your API Key}\\n*It's Bearer space {API key}.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fc373fd7-52fc-4729-8022-021c09d0c89c\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1320,\n -60\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 746.3474025974022,\n \"height\": 505.9740259740257,\n \"content\": \"## Get page specific stats for this week and last\\n\\nCalls Umami to get this week and last week's data. It will get the views for each page visited on your website for comparison.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"82bd35b6-8b49-4d77-8be2-033a8bff3f41\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2120,\n -60\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 216.5746753246753,\n \"height\": 502.37012987012963,\n \"content\": \"## Send data to A.I.\\n\\nTo use Openrouter, you need to register for an account.\\nThen add header authorization credentials.\\nUsername: Authroization\\nPassword: Bearer {Your API Key}\\n*It's Bearer space {API key}.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"503c4ca3-36da-41a8-9029-f844a34daa59\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2380,\n -60\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 393.16558441558414,\n \"height\": 504.17207792207796,\n \"content\": \"## Save analysis to baserow\\n\\nYou need to create a table in advance to save. \\n- Date (date)\\n- Summary (Long text)\\n- Top pages (Long text)\\n- Blog name (Long text)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f64cdfbd-712f-461c-b025-25f37e2bded8\",\n \"name\": \"Parse Umami data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 940,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Create a simplified object with the metrics\\n const simplified = {\\n pageviews: {\\n value: parseInt(data.pageviews.value) || 0,\\n prev: parseInt(data.pageviews.prev) || 0\\n },\\n visitors: {\\n value: parseInt(data.visitors.value) || 0,\\n prev: parseInt(data.visitors.prev) || 0\\n },\\n visits: {\\n value: parseInt(data.visits.value) || 0,\\n prev: parseInt(data.visits.prev) || 0\\n },\\n bounces: {\\n value: parseInt(data.bounces.value) || 0,\\n prev: parseInt(data.bounces.prev) || 0\\n },\\n totaltime: {\\n value: parseInt(data.totaltime.value) || 0,\\n prev: parseInt(data.totaltime.prev) || 0\\n }\\n };\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"470715b6-0878-48b8-b6c6-40de27fbc966\",\n \"name\": \"Send data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1140,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Here is data from Umami analytics of Pennibnotes.com. Where X is URL and Y is number of visitors. Give me a table summary of this data in markdown format:{{ $('Parse Umami data').item.json.urlString }}.\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"WY7UkF14ksPKq3S8\",\n \"name\": \"Header Auth account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ea4bb37f-96d9-41b8-bf46-fb09865a6e0f\",\n \"name\": \"Get page data from Umami\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1380,\n 260\n ],\n \"parameters\": {\n \"url\": \"=https://umami.rumjahn.synology.me/api/websites/f375d28c-1949-4597-8871-f1b942e3aa24/metrics?startAt={{Date.now() - (7 * 24 * 60 * 60 * 1000)}}&endAt={{Date.now()}}&type=url&tz=America/Los_Angeles\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"FKsKXvQUlaX5qt9n\",\n \"name\": \"Header Auth account 3\"\n }\n },\n \"typeVersion\": 4\n },\n {\n \"id\": \"d982606b-49c8-4d5b-ba79-bd0fdd2600b6\",\n \"name\": \"Parse Umami data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1560,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"// Get input data\\nconst data = $input.all();\\n\\n// Create URL-encoded string from the data\\nconst encodedData = encodeURIComponent(JSON.stringify(data));\\n\\n// Return the encoded data\\nreturn {\\n json: {\\n thisWeek: encodedData\\n }\\n};\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f3734045-1318-4234-a3ac-61b766124609\",\n \"name\": \"Get page view data from Umami\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 260\n ],\n \"parameters\": {\n \"url\": \"=https://umami.rumjahn.synology.me/api/websites/f375d28c-1949-4597-8871-f1b942e3aa24/metrics?startAt={{Date.now() - (14 * 24 * 60 * 60 * 1000)}}&endAt={{Date.now() - (7 * 24 * 60 * 60 * 1000)}}&type=url&tz=America/Los_Angeles\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"FKsKXvQUlaX5qt9n\",\n \"name\": \"Header Auth account 3\"\n }\n },\n \"typeVersion\": 4\n },\n {\n \"id\": \"a0153ab0-3eaf-4f97-a2dc-ab63d45a9187\",\n \"name\": \"Parse Umami\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1920,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"// Get input data\\nconst data = $input.all();\\n\\n// Create URL-encoded string from the data\\nconst encodedData = encodeURIComponent(JSON.stringify(data));\\n\\n// Return the encoded data\\nreturn {\\n json: {\\n lastweek: encodedData\\n }\\n};\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c2d3d396-09fa-4800-b56d-40ed7592cd3c\",\n \"name\": \"Send data to A.I.1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2180,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Here is data from Umami analytics of Pennibnotes.com. Where X is URL and Y is number of visitors. Compare the data from this week to last week. Present the data in a table using markdown and offer 5 improvement suggestions. This week:{{ $('Parse Umami data1').first().json.thisWeek }} Lastweek:{{ $json.lastweek }}\\\"\\n }\\n ]\\n}\\n\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"WY7UkF14ksPKq3S8\",\n \"name\": \"Header Auth account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ce58a556-c05a-4395-88b0-3edecbad80e5\",\n \"name\": \"Save data to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 2520,\n 260\n ],\n \"parameters\": {\n \"tableId\": 607,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 5870,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5869,\n \"fieldValue\": \"={{ $('Send data to A.I.').first().json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5868,\n \"fieldValue\": \"={{ DateTime.now().toFormat('yyyy-MM-dd') }}\"\n },\n {\n \"fieldId\": 5871,\n \"fieldValue\": \"Name of your blog\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"credentials\": {\n \"baserowApi\": {\n \"id\": \"8w0zXhycIfCAgja3\",\n \"name\": \"Baserow account\"\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"e28e067d-9245-4879-9321-4d21925f951e\",\n \"connections\": {\n \"Parse Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Send data to A.I.1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Umami data\": {\n \"main\": [\n [\n {\n \"node\": \"Send data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get view stats from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Umami data1\": {\n \"main\": [\n [\n {\n \"node\": \"Get page view data from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Get page data from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send data to A.I.1\": {\n \"main\": [\n [\n {\n \"node\": \"Save data to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get page data from Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Umami data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get view stats from Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Umami data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get page view data from Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get view stats from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Umami analytics template", "node_count": 17, "category": "General Automation"}}
{"prompt": "How would you build: Survey Insights With Qdrant, Python And Information Extractor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 42\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreQdrant, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, n8n-nodes-base.executeWorkflow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"0404384b-10b6-4666-84a4-8870db30c607\",\n \"name\": \"Embeddings OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 1220,\n 280\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a6741f04-5a5b-47a9-ac08-eb562f9f6052\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1340,\n 280\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"question\",\n \"value\": \"={{ $json.question }}\"\n },\n {\n \"name\": \"participant\",\n \"value\": \"={{ $json.participant }}\"\n },\n {\n \"name\": \"survey\",\n \"value\": \"={{ $('Get Survey Results').params.documentId.cachedResultName }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.answer }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7663c3dd-f713-4034-bef6-0c000285f54f\",\n \"name\": \"Convert to Question Answer Pairs\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 720,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6b593ffb-ffbd-4cf5-a508-cd4f2a6d1004\",\n \"name\": \"data\",\n \"type\": \"array\",\n \"value\": \"={{\\n Object.keys($json)\\n .filter(key => !['row_number', 'Participant'].includes(key))\\n .map(key => ({ question: key, answer: $json[key], participant: $json.Participant }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"84873f0c-81ce-442f-a33c-d7c6c2efa11b\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1340,\n 420\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"da9a8ee8-5e3f-49db-8d1f-26a61ca82344\",\n \"name\": \"Get Survey Results\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 540,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1-168Vm-1kCeHkqGLAs6odha4DhPE93njfHlYIviKE50/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1-168Vm-1kCeHkqGLAs6odha4DhPE93njfHlYIviKE50\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1-168Vm-1kCeHkqGLAs6odha4DhPE93njfHlYIviKE50/edit?usp=drivesdk\",\n \"cachedResultName\": \"Remote Working Survey Responses\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"4bad90b2-eefe-49c8-8caa-41cd4cb5e60f\",\n \"name\": \"Get Survey Headers\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 740,\n 940\n ],\n \"parameters\": {\n \"options\": {\n \"dataLocationOnSheet\": {\n \"values\": {\n \"range\": \"A1:Z2\",\n \"rangeDefinition\": \"specifyRangeA1\"\n }\n }\n },\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetName }}\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"47c64994-9d1f-42ca-a849-3eeab5335b66\",\n \"name\": \"Extract Questions\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 940,\n 940\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"d655b165-dfa2-46cb-bc27-140399bc4227\",\n \"name\": \"question\",\n \"type\": \"array\",\n \"value\": \"={{\\n Object.keys($('Get Survey Headers').item.json)\\n .filter(key => key.includes('?'))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"c237d523-b290-41ca-b323-4cc7c7f6ff37\",\n \"name\": \"Questions to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 940,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"question\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7f44a770-4c5d-4404-ae95-d9dee8348380\",\n \"name\": \"Find All Answers\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1460,\n 1120\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.collectionName }}/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"limit\\\": 500,\\n \\\"filter\\\":{\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.question\\\",\\n \\\"match\\\": { \\\"value\\\": \\\"{{ $('For Each Question...').item.json.question }}\\\" }\\n },\\n {\\n \\\"key\\\": \\\"metadata.survey\\\",\\n \\\"match\\\": { \\\"value\\\": \\\"{{ $('Set Variables').item.json.surveyName }}\\\" }\\n }\\n ]\\n },\\n \\\"with_vector\\\":true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"2b6dc317-f8f3-4201-a9e1-d35ee578e79e\",\n \"name\": \"Get Payload of Points\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2380,\n 800\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').first().json.collectionName }}/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n {\\n \\\"ids\\\": $json.points,\\n \\\"with_payload\\\": true\\n }\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d4a37d97-975a-4243-a7ea-81b3e30558a5\",\n \"name\": \"Clusters To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 2180,\n 800\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c78f1bf6-8390-48ee-88f4-7d1a893a8ade\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 200,\n 1060\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"b77c94a0-d865-4bd6-b078-a09b2ddb2a99\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"ux_survey_insights\"\n },\n {\n \"id\": \"7b0a4d14-b5f9-4597-84c0-8cfdb363c3d3\",\n \"name\": \"surveyName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.properties.title }}\"\n },\n {\n \"id\": \"45434b3b-3b74-4262-82e0-7ed02155caad\",\n \"name\": \"insightsSheetName\",\n \"type\": \"string\",\n \"value\": \"=Insights-{{ $now.format('yyyyMMdd') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"fbb1f3c3-06ad-44b5-b020-6fc3c8eda7c4\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2560,\n 980\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"83d3b413-a661-4c4c-9b8d-6ee395a15348\",\n \"name\": \"Prep Output For Export\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3160,\n 1300\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={{ {\\n ...$json.output,\\n \\\"Number of Response\\\": $('Get Payload of Points').item.json.result.length,\\n \\\"Participant IDs\\\": $('Get Payload of Points').item.json.result.map(item =>\\n item.payload.metadata.participant\\n ).join(','),\\n \\\"Raw Responses\\\": $('Get Payload of Points').item.json.result.map(item =>\\n `Participant ${item.payload.metadata.participant},${item.payload.content.replaceAll('\\\"', '\\\\\\\"')}`\\n ).join('\\\\n')\\n} }}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"14784dff-a8ea-4b6b-8379-b0c9051a8f98\",\n \"name\": \"Export To Sheets\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 3360,\n 1300\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {},\n \"schema\": [\n {\n \"id\": \"What is your name?\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"What is your name?\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"The responses indicate that two participants have the same name, 'Kwame Nkosi', which suggests a commonality in names or cultural naming traditions among the respondents. This could highlight the importance of understanding cultural context in survey responses.\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"The responses indicate that two participants have the same name, 'Kwame Nkosi', which suggests a commonality in names or cultural naming traditions among the respondents. This could highlight the importance of understanding cultural context in survey responses.\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"neutral\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"neutral\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"3\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"3\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"77,17,54\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"77,17,54\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Participant 77,Kwame Nkosi\\nParticipant 17,Kwame Nkosi\\nParticipant 54,Kwame Nkansah\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Participant 77,Kwame Nkosi\\nParticipant 17,Kwame Nkosi\\nParticipant 54,Kwame Nkansah\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"autoMapInputData\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"append\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"={{ $('Set Variables').first().json.insightsSheetName }}\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"779b9411-db3e-44f3-ad2a-c9d40a70580d\",\n \"name\": \"Export To Sheets1\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 2360,\n 1300\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {},\n \"schema\": [],\n \"mappingMode\": \"autoMapInputData\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"append\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"={{ $('Set Variables').first().json.insightsSheetName }}\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"a31ab677-f57c-4b78-a290-d4a913ed4f8e\",\n \"name\": \"For Each Question...\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n 1280,\n 940\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"dcfaf927-6ecd-4ebe-aee0-5fb3367b2725\",\n \"name\": \"Trigger Insights\",\n \"type\": \"n8n-nodes-base.executeWorkflow\",\n \"position\": [\n 1980,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"workflowId\": \"={{ $workflow.id }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2579adf0-9c00-4b87-b53e-740044577ab0\",\n \"name\": \"Prep Values For Trigger\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1800,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"24dd90ad-390f-444e-ba6c-8c06a41e836e\",\n \"name\": \"sheetID\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Survey Results').params.documentId.value }}\"\n },\n {\n \"id\": \"90199bbb-3938-411c-a7a8-faa7ccba6059\",\n \"name\": \"sheetName\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Survey Results').params.sheetName.value }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9b29e850-b9d0-4358-af62-92c20ab3b088\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 20,\n 900\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"70a0dcec-9f74-4af2-bd64-0ab762a77e51\",\n \"name\": \"Create Insights Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 420,\n 900\n ],\n \"parameters\": {\n \"title\": \"={{ $('Set Variables').first().json.insightsSheetName }}\",\n \"options\": {},\n \"operation\": \"create\",\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"f31400fb-dd7a-4c62-90ec-e9d78bbaa5e8\",\n \"name\": \"Prep Values For Export\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 1300\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={\\n \\\"Question\\\": \\\"{{ $('For Each Question...').item.json.question }}\\\",\\n \\\"Insight\\\": \\\"No Insight Found\\\"\\n}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"506c20df-5109-422c-8c9e-0eb50fbd3ff9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 459.27570452141345,\n -42.168106366729035\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 617.2130261221611,\n \"height\": 420.7389587470384,\n \"content\": \"## Step 1. Import Survey Responses\\n[Read more about Google Sheets](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\\n\\nOur approach requires to import all participant responses as vectors with metadata linking them to the questions being answered. To do this, we'll generate questiona and answer pairs from the survey.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bddcafa8-6f54-4829-93c9-37bbb9e7edf3\",\n \"name\": \"QA Pairs to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 900,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8d6e6bf6-c94c-43cb-a29e-5d10207cb8bd\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1100,\n -102.05898437632061\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 563.8350682199533,\n \"height\": 678.1641960508446,\n \"content\": \"## Step 2. Vectorize Each Response Into Qdrant\\n[Read more about using Qdrant](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\\n\\nSpecial attention is given to how metadata is captured as it becomes key to this workflow is being able to retrieve subsets of the data for analysis.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"613d4a32-a87a-423e-a1d1-ee23db0de6d1\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1680,\n -30.440883940004255\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 519.6419932444072,\n \"height\": 429.11782776909047,\n \"content\": \"## Step 3. Trigger Insights SubWorkflow\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflow)\\n\\nA subworkflow is used to trigger the analysis for the survey. This separation is optional but used here to better demonstrate the two part process.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1e858e4a-b91b-4411-8e2a-6eb76647b796\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -57.47778952966382,\n 710.393394209128\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 668.3083616841852,\n \"height\": 528.2386658883073,\n \"content\": \"## Step 4. Create Insights Sheet\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflowtrigger)\\n\\nTo capture the generated insights, we'll create a new unique sheet within the survey spreadsheet. This is optional and you may want to capture in other datastores depending on your needs.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9170c566-07d3-49dc-aafb-2dbe79940d2c\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n 683.5153164275844\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 536.9288458983389,\n \"height\": 622.1362463986454,\n \"content\": \"## Step 5. Get List Of Questions From Survey\\n[Read more about using Google Sheets](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\\n\\nNext we'll fetch the survey for metadata and questions, splitting them into separate workflow items. Our intention is to process each question end-to-end before moving to the next. This approach is a little \\\"safer\\\" in the scenario where an interruption occurs we won't lose all our work.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8488df77-055d-41cc-94f1-92ac5d54ef10\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 673.291535602609\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 823.147012265536,\n \"height\": 868.2579789328703,\n \"content\": \"## Step 6. Find Groups of Similar Answers For Each Question\\n[Learn more about using the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/)\\n\\nGiving all the responses to an LLM to analyse is the common but naive approach; the summarisation is usually too high level for real insights and loses a lot of detail such as the number and identity of respondants. What we want to do instead is find and group popular answers for each question to ensure all perspectives are considered.\\n\\nOur approach does this by mapping our answer vectors to a 2D grid and then identifying where the vector points are \\\"clustered\\\"; where a group of points are within close proximity to each other.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f4748b6d-5bd8-48cf-942f-3a0dc681078d\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2060,\n 1180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 536.9288458983389,\n \"height\": 359.90385684071794,\n \"content\": \"## Step 7b. Skip If No Clusters Found\\nWhere no clusters were found, it means the answers were unique enough to not show any pattern. eg. \\\"What's you name?\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d55d6a47-da8c-46ae-bd10-0eb671dcd121\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2060,\n 611.6915003841909\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 871.451300407926,\n \"height\": 541.1135860445843,\n \"content\": \"## Step 7a. Summarise the Top Groups of Similar Answers\\n[Read more about using the Information Extractor Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor)\\n\\nEach discovered cluster will return a reference vector which is used to fetch all related answers in the group.\\nThe group is then sent to the LLM to summarise as well as assign a sentiment score.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e5d5f88f-5832-43fc-a5b9-f747d08e7e77\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2620,\n 1180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 924.2798021207429,\n \"height\": 363.07347551845976,\n \"content\": \"## Step 8. Write To Insights Sheet\\nFinally, our completed insights to appended to\\nthe Insights Sheet we created earlier in the workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"49ac1504-7b43-4fa1-b4ce-15c7a53c9018\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 400\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 80,\n \"content\": \"### Run this once! \\nIf for any reason you need to run more than once, be sure to clear the existing data first.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"450f89c5-ef0f-4bf8-8db9-6347247c7f4d\",\n \"name\": \"Has Clusters?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1820,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"40b6bb62-a2d6-4422-8fbb-7ae49898bad9\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.output }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1652a108-8fb8-4229-a76d-abf9fbcff626\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 20,\n -400\n ],\n \"parameters\": {\n \"width\": 400.381109509268,\n \"height\": 679.5610243514676,\n \"content\": \"## Try It Out!\\n\\n### This workflow generates highly-detailed insights from survey responses. Works best when dealing with a large number of participants.\\n\\n* Import survey responses and vectorise in Qdrant vectorstore.\\n* Identify clusters of popular responses to questions using K-means clustering algorithm. \\n* Each valid cluster is analysed and summarised by LLM.\\n* Export LLM response and cluster results back into sheet.\\n\\nCheck out the reference google sheet here: https://docs.google.com/spreadsheets/d/e/2PACX-1vT6m8XH8JWJTUAfwojc68NAUGC7q0lO7iV738J7aO5fuVjiVzdTRRPkMmT1C4N8TwejaiT0XrmF1Q48/pubhtml\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6eef981e-b2ce-433c-b71f-78be64812a56\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1260,\n 1340\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 110.05160146874424,\n \"content\": \"### First Time Running?\\nThere is a slight delay on first run because the code node has to download the required packages.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fa0c14be-03f4-4ed2-bd60-e93817382ded\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 240,\n 100\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"30323019-59ba-4a19-a46e-196d469f097d\",\n \"name\": \"Get Sheet Details\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 200,\n 900\n ],\n \"parameters\": {\n \"url\": \"=https://sheets.googleapis.com/v4/spreadsheets/{{ $json.sheetID }}\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"googleSheetsOAuth2Api\"\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6ced8012-1dd3-4da3-8c27-e4f4dfc959f6\",\n \"name\": \"Only Clusters With 3+ points\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 2180,\n 960\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"328f806c-0792-4d90-9bee-a1e10049e78f\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"lengthGt\",\n \"rightType\": \"number\"\n },\n \"leftValue\": \"={{ $json.points }}\",\n \"rightValue\": 2\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"8ae81a55-75e2-40a3-bef6-0935ff08128f\",\n \"name\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1640,\n 1120\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"import numpy as np\\nfrom sklearn.cluster import KMeans\\n\\n# get vectors for all answers\\npoint_ids = [item.id for item in _input.first().json.result.points]\\nvectors = [item.vector.to_py() for item in _input.first().json.result.points]\\nvectors_array = np.array(vectors)\\n\\n# apply k-means clustering where n_clusters = 10\\n# this is a max and we'll discard some of these clusters later\\nkmeans = KMeans(n_clusters=min(len(vectors), 10), random_state=42).fit(vectors_array)\\nlabels = kmeans.labels_\\nunique_labels = set(labels)\\n\\n# Extract and print points in each cluster\\nclusters = {}\\nfor label in set(labels):\\n clusters[label] = vectors_array[labels == label]\\n\\n# return Qdrant point ids for each cluster\\n# we'll use these ids to fetch the payloads from the vector store.\\noutput = []\\nfor cluster_id, cluster_points in clusters.items():\\n points = [point_ids[i] for i in range(len(labels)) if labels[i] == cluster_id]\\n output.append({\\n \\\"id\\\": f\\\"Cluster {cluster_id}\\\",\\n \\\"total\\\": len(cluster_points),\\n \\\"points\\\": points\\n })\\n\\nreturn {\\\"json\\\": {\\\"output\\\": output } }\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"cbb42384-d46b-471f-a7d8-27e3de042492\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1220,\n 100\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"ux_survey_insights\",\n \"cachedResultName\": \"ux_survey_insights\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"17584901-15d6-421f-ad69-3ba872276055\",\n \"name\": \"Survey Insights Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2580,\n 800\n ],\n \"parameters\": {\n \"text\": \"=The {{ $json.result.length }} participant responses were:\\n{{\\n$json.result.map(item =>\\n`* Participant ${item.payload.metadata.participant}: \\\"${item.payload.content.replaceAll('\\\"', '\\\\\\\"')}\\\"`\\n).join('\\\\n')\\n}}\",\n \"options\": {\n \"systemPromptTemplate\": \"=You help summarise a selection of participant responses to a specific question for a survey called \\\"{{ $json.result[0].payload.metadata.survey }}\\\".\\nThe question asked was \\\"{{ $json.result[0].payload.metadata.question }}\\\".\\nThe {{ $json.result.length }} participant responses were selected because their answers were similar in context.\\n\\nYour task is to: \\n* summarise the given participant responses into a short paragraph. Provide an insight from this summary and what we could learn from the answers.\\n* determine if the overall sentiment of all the listed responses to be either negative, mildy negative, neutral, mildy positive or positive.\"\n },\n \"schemaType\": \"fromJson\",\n \"jsonSchemaExample\": \"{\\n\\t\\\"Question\\\": \\\"What do you enjoy most about working remotely, and why?\\\",\\n\\t\\\"Insight\\\": \\\"\\\",\\n \\\"Sentiment\\\": \\\"Positive\\\"\\n}\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Has Clusters?\": {\n \"main\": [\n [\n {\n \"node\": \"Clusters To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Prep Values For Export\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Create Insights Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clusters To List\": {\n \"main\": [\n [\n {\n \"node\": \"Only Clusters With 3+ points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Export To Sheets\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Question...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Find All Answers\": {\n \"main\": [\n [\n {\n \"node\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"QA Pairs to List\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Export To Sheets1\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Question...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Questions\": {\n \"main\": [\n [\n {\n \"node\": \"Questions to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Sheet Details\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Survey Insights Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Questions to List\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Question...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Survey Headers\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Survey Results\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to Question Answer Pairs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Values For Trigger\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"For Each Question...\": {\n \"main\": [\n null,\n [\n {\n \"node\": \"Find All Answers\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Insights Sheet\": {\n \"main\": [\n [\n {\n \"node\": \"Get Survey Headers\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Payload of Points\": {\n \"main\": [\n [\n {\n \"node\": \"Survey Insights Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Survey Insights Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Output For Export\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Output For Export\": {\n \"main\": [\n [\n {\n \"node\": \"Export To Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Values For Export\": {\n \"main\": [\n [\n {\n \"node\": \"Export To Sheets1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Values For Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Trigger Insights\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Sheet Details\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only Clusters With 3+ points\": {\n \"main\": [\n [\n {\n \"node\": \"Get Payload of Points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to Question Answer Pairs\": {\n \"main\": [\n [\n {\n \"node\": \"QA Pairs to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Survey Results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Apply K-means Clustering Algorithm\": {\n \"main\": [\n [\n {\n \"node\": \"Has Clusters?\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Survey Insights with Qdrant, Python and Information Extractor", "node_count": 42, "category": "Data Processing"}}
{"prompt": "Show me an n8n workflow for selenium ultimate scraper workflow", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 63\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, n8n-nodes-base.html, n8n-nodes-base.convertToFile, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"kZ3aL4r7xc96Q7lp\",\n \"meta\": {\n \"instanceId\": \"b8b2c0d20b02864cf66adc9cbefc86e9e56de0252b653d37ba6613341b5e0bef\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Selenium Ultimate Scraper Workflow\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"20d35d68-db49-4183-a913-85ad06c13912\",\n \"name\": \"Extract First Url Match\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1820,\n 540\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"Url Find \",\n \"attribute\": \"href\",\n \"cssSelector\": \"=a[href*=\\\"https://\\\"][href*=\\\"{{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}\\\"]\\n\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"9167ea20-fc9c-4d75-bf4d-bb2016079dd0\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2060,\n 700\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"42a8646d-1b0b-4309-a87d-9c8aeb355a28\",\n \"name\": \"Clean Webdriver \",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"notes\": \"Script to delete traces of selenium in the browser \",\n \"position\": [\n 3120,\n 560\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/execute/sync\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"script\\\": \\\"Object.defineProperty(navigator, 'webdriver', { get: () => undefined }); window.navigator.chrome = { runtime: {} }; Object.defineProperty(navigator, 'languages', { get: () => ['en-US', 'en'] }); Object.defineProperty(navigator, 'plugins', { get: () => [1, 2, 3, 4, 5] });\\\",\\n \\\"args\\\": []\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"notesInFlow\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"107dd8de-e341-4819-a493-94ed57fd0f33\",\n \"name\": \"Delete Session\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5180,\n 920\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8c7ec6bc-d417-48c2-a6f2-ecce27803671\",\n \"name\": \"Delete Session2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 6740,\n -160\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e43ecd94-b7f2-4f73-a9fa-b829de9e0296\",\n \"name\": \"If Block1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 6520,\n -20\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"e6e6e15d-1cfe-48be-8ea0-f112e9781c9d\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.content }}\",\n \"rightValue\": \"BLOCK\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"08e46f63-41b5-4606-8f2c-df9e96c9c34e\",\n \"name\": \"Delete Session3\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 6740,\n 60\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b47d9b22-9a59-4c7a-8cba-9487f18207ee\",\n \"name\": \"Limit\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 5120,\n -100\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"541622f7-562b-4e8a-93e5-61e6e918ff52\",\n \"name\": \"Delete Session1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5180,\n 720\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"825be0d7-9dd3-4a2f-8c3d-fd405f59a5d6\",\n \"name\": \"Delete Session4\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 5780,\n 260\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"56f6f4f6-f737-4de8-bdfe-029546909677\",\n \"name\": \"Success with cookie\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 7260,\n 60\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"c6939773-e230-45e1-bf76-d0299c2c7066\",\n \"name\": \"Respond to Webhook2\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 6920,\n -160\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Success \\\": \\\"Request has been block by the targeted website\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"ea921f11-323f-4c79-8cc6-779b39498b05\",\n \"name\": \"Code\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 4700,\n -100\n ],\n \"parameters\": {\n \"jsCode\": \"// Récupère les données du nœud Webhook (en remplaçant \\\"Webhook\\\" par le nom du nœud Webhook dans votre workflow)\\nconst webhookData = $node[\\\"Webhook\\\"].json;\\n\\n// Fonction pour convertir la valeur de sameSite\\nfunction convertSameSite(value) {\\n // Conversion spécifique des valeurs de sameSite\\n const conversionMap = {\\n \\\"unspecified\\\": \\\"None\\\",\\n \\\"lax\\\": \\\"Lax\\\",\\n \\\"strict\\\": \\\"Strict\\\"\\n };\\n \\n // Si la valeur existe dans le tableau de conversion, on la convertit\\n if (value in conversionMap) {\\n return conversionMap[value];\\n }\\n \\n // Si la valeur est déjà une des valeurs acceptées par Selenium\\n const allowedValues = [\\\"Strict\\\", \\\"Lax\\\", \\\"None\\\"];\\n if (allowedValues.includes(value)) {\\n return value;\\n } else {\\n // Si la valeur n'est pas reconnue, on la remplace par \\\"Lax\\\" (par défaut)\\n return \\\"Lax\\\";\\n }\\n}\\n\\n// Vérifiez et traitez les données des cookies\\nif (webhookData.body && webhookData.body.cookies) {\\n let items = [];\\n for (const cookieObject of webhookData.body.cookies) {\\n if (cookieObject.cookie) {\\n // Convertir la valeur de sameSite\\n cookieObject.cookie.sameSite = convertSameSite(cookieObject.cookie.sameSite);\\n \\n // Ajouter le cookie à la liste des items\\n items.push({\\n json: cookieObject.cookie\\n });\\n }\\n }\\n return items;\\n}\\n\\n// Si les cookies ne sont pas trouvés, renvoyer un tableau vide\\nreturn [];\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c3d77928-eefc-4903-9b4f-b14bd6f34e3c\",\n \"name\": \"Delete Session5\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 3940,\n 360\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"036cfce6-8082-4539-bb0e-980368679fe5\",\n \"name\": \"Error\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 4120,\n 360\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 404\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Error\\\": \\\"Cookies are note for the targeted url\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"09d6a99b-d8b3-40c9-b74a-14014e3647e2\",\n \"name\": \"Error1\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 6000,\n 260\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 500\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"0b1f3442-6b70-405f-b597-642e9c982b82\",\n \"name\": \"Error2\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 3060,\n 780\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 500\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"4d0112bb-cbfd-45c6-961a-964bd8f59cac\",\n \"name\": \"If\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3760,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"1bffbc80-9913-46e7-a594-ebc26948c83b\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"contains\"\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body.cookies[0].cookie.domain }}\",\n \"rightValue\": \"={{ $('Webhook').item.json.body.Url }}\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"58a50b80-df4c-4b6f-a682-72237f4dbdef\",\n \"name\": \"Inject Cookie\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 4900,\n -100\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/cookie\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"cookie\\\": {\\n \\\"name\\\": \\\"{{ $json.name }}\\\",\\n \\\"value\\\": \\\"{{ $json.value }}\\\",\\n \\\"domain\\\": \\\"{{ $json.domain }}\\\",\\n \\\"path\\\": \\\"{{ $json.path }}\\\",\\n \\\"secure\\\": {{ $json.secure }},\\n \\\"httpOnly\\\": {{ $json.httpOnly }},\\n \\\"sameSite\\\": \\\"{{ $json.sameSite }}\\\",\\n \\\"expirationDate\\\": {{ $json.expirationDate }}\\n }\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"39f7401b-b6b7-4f0c-9afc-8f144d394350\",\n \"name\": \"Respond to Webhook3\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 5400,\n 720\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Success \\\": \\\"Request has been block by the targeted website\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"80b107cc-2f6c-46f0-a597-e85594634492\",\n \"name\": \"Success\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 5740,\n 920\n ],\n \"parameters\": {\n \"options\": {\n \"responseKey\": \"={{ $json.output }}\",\n \"responseCode\": 200\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"94a97354-07d9-428e-989c-ef066f9b4d8a\",\n \"name\": \"Go on url\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 3900,\n 780\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Webhook').item.json.body['Target Url'] }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fd044cf3-594d-48af-bbd1-f2d9adedcbc1\",\n \"name\": \"Delete Session6\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 4360,\n 1200\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"7c28c3b6-1141-4609-8774-cb6b4d842b97\",\n \"name\": \"Error3\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 4520,\n 1200\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 500\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Error\\\": \\\"Page crash on the extracted url\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"52f78923-156f-4861-88ba-f0253c483bd9\",\n \"name\": \"Information Extractor\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2040,\n 540\n ],\n \"parameters\": {\n \"text\": \"={{ $json['Url Find '][1] }}{{ $json['Url Find '][2] }}{{ $json['Url Find '][3] }}\",\n \"options\": {\n \"systemPromptTemplate\": \"=You are an expert extraction algorithm.\\nOnly extract relevant url from the unstructured urls array.\\nA relevant url is a url whre you can find relevant information about this subject : {{ $('Edit Fields (For testing prupose )').item.json.Subject }}, on this domaine name : {{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}.\\nIf you do not know the value of an attribute asked to extract, you need \\\\ attribute's value as NA.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"Good_url_for_etract_information\",\n \"required\": true,\n \"description\": \"=The url where I can extract relevant infroamtion on this subject : {{ $('Edit Fields (For testing prupose )').item.json.Subject }} on this domaine name : {{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ac249e2-a9d8-4590-b050-3a0a2472fa3c\",\n \"name\": \"Check if empty of NA\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2440,\n 540\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"or\",\n \"conditions\": [\n {\n \"id\": \"9470fb6c-e367-4af7-a697-275e724fe771\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"empty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.output.Good_url_for_etract_information }}\",\n \"rightValue\": \"\"\n },\n {\n \"id\": \"8518e9a9-5b0c-4699-97c5-d9b7b1943918\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.output.Good_url_for_etract_information }}\",\n \"rightValue\": \"NA\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"f380eff7-3d18-4791-9dac-8a88d3fdcc4f\",\n \"name\": \"If Block\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 4960,\n 840\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"e6e6e15d-1cfe-48be-8ea0-f112e9781c9d\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"contains\"\n },\n \"leftValue\": \"={{ $json.content }}\",\n \"rightValue\": \"BLOCK\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"43382397-89b5-4b90-9016-49109ec04baf\",\n \"name\": \"Google search Query \",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1600,\n 540\n ],\n \"parameters\": {\n \"url\": \"=https://www.google.com/search?q=site:{{ $json['Website Domaine'] }}+{{$json.Subject}}&oq=site&gs_lcrp=EgZjaHJvbWUqCAgAEEUYJxg7MggIABBFGCcYOzIICAEQRRgnGDsyBggCEEUYOzIRCAMQRRg5GEMYyQMYgAQYigUyBggEEEUYQDIGCAUQRRg9MgYIBhBFGD0yBggHEEUYPdIBCDEwNTRqMGo3qAIAsAIA&sourceid=chrome&ie=UTF-8\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d34256af-1b43-4f64-853c-cf063b8c6b68\",\n \"name\": \"Create Selenium Session\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 2680,\n 640\n ],\n \"parameters\": {\n \"url\": \"http://selenium_chrome:4444/wd/hub/session\",\n \"method\": \"POST\",\n \"options\": {\n \"timeout\": 5000\n },\n \"jsonBody\": \"{\\n \\\"capabilities\\\": {\\n \\\"alwaysMatch\\\": {\\n \\\"browserName\\\": \\\"chrome\\\",\\n \\\"goog:chromeOptions\\\": {\\n \\\"args\\\": [ \\n \\\"--disable-blink-features=AutomationControlled\\\",\\n \\\"--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3\\\"\\n ]\\n }\\n }\\n }\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4f0f696c-9637-4c7d-82ae-1f5c36bb9cd1\",\n \"name\": \"Get ScreenShot 1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4420,\n 840\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/screenshot\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ba72c0cf-217a-4411-80f6-ca28ccdb0151\",\n \"name\": \"Refresh browser\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 5320,\n -100\n ],\n \"parameters\": {\n \"url\": \"=http:///selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/refresh\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b6ba7068-399a-467d-ba58-7f47d650e2f1\",\n \"name\": \"Get ScreenShot \",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 5880,\n -20\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/screenshot\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"792649be-0ee2-442f-bc21-d0c297cea227\",\n \"name\": \"Convert to File\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 6160,\n -20\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"value\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"49e58759-bedf-4f38-a96c-bd18e67b8aaf\",\n \"name\": \"Convert to File1\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4600,\n 840\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"value\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"3735f5f5-665e-4649-b1c2-84a4a8699f70\",\n \"name\": \"Delete Session7\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 2920,\n 780\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1b8b1e0c-f465-4963-869c-0e7086922151\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n -1023.3944834469928\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 851.2111300888805,\n \"height\": 1333.3079943516484,\n \"content\": \"## N8N Ultimate Scraper - Workflow\\n\\nThis workflow's objective is to collect data from any website page, whether it requires login or not.\\n\\nFor example, you can collect the number of stars of the n8n-ultimate-scraper project on GitHub.\\n\\n## Requirements\\n**Selenium Container**: Selenium is an open-source automation framework for web applications, enabling browser control and interaction through scripts in various programming languages.\\nYou can deploy the Docker Compose file from the associated GitHub project to set up your Selenium container and configuration: https://github.com/Touxan/n8n-ultimate-scraper\\n\\n**Residential Proxy Server**: To scrape data at scale without being blocked, I personally recommend GeoNode. They offer affordable, high-quality residential proxies: https://geonode.com/invite/98895\\n\\n**OpenAI API Key**: For using GPT-4.\\n\\n## Optional\\nSession Cookies Collection: To use login functionality with the n8n Ultimate Scraper, you need to collect session cookies from the target website. You can do this using the extension created for this application in the GitHub project: https://github.com/Touxan/n8n-ultimate-scraper. Follow the installation procedure to use it.\\n\\n## How to use \\nDeploy the project with all the requiremnts and request your webhook.\\n\\n**Example of request**:\\ncurl -X POST http://localhost:5678/webhook-test/yourwebhookid \\\\\\n-H \\\"Content-Type: application/json\\\" \\\\\\n-d '{\\n \\\"subject\\\": \\\"Hugging Face\\\",\\n \\\"Url\\\": \\\"github.com\\\",\\n \\\"Target data\\\": [\\n {\\n \\\"DataName\\\": \\\"Followers\\\",\\n \\\"description\\\": \\\"The number of followers of the GitHub page\\\"\\n },\\n {\\n \\\"DataName\\\": \\\"Total Stars\\\",\\n \\\"description\\\": \\\"The total numbers of stars on the different repos\\\"\\n }\\n ],\\n \\\"cookies\\\": []\\n}'\\n\\nYou can also scrape link like this : \\ncurl -X POST http://localhost:5678/webhook-test/67d77918-2d5b-48c1-ae73-2004b32125f0 \\\\\\n-H \\\"Content-Type: application/json\\\" \\\\\\n-d '{\\n \\\"Target Url\\\": \\\"https://github.com\\\",\\n \\\"Target data\\\": [\\n {\\n \\\"DataName\\\": \\\"Followers\\\",\\n \\\"description\\\": \\\"The number of followers of the GitHub page\\\"\\n },\\n {\\n \\\"DataName\\\": \\\"Total Stars\\\",\\n \\\"description\\\": \\\"The total numbers of stars on the different repo\\\"\\n }\\n]\\n}'\\n\\n**Note**\\nThe maximum nimber of Target data is 5.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d743518-4fcb-4e9f-aff7-a8959a78ccaf\",\n \"name\": \"Edit Fields (For testing prupose )\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1160,\n 540\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"3895040f-0a21-47ee-a73f-d3c7fd6edf36\",\n \"name\": \"Subject\",\n \"type\": \"string\",\n \"value\": \"={{ $json.body.subject }}\"\n },\n {\n \"id\": \"304e4240-513f-4c87-ae9d-4efda7d0c4ab\",\n \"name\": \"Website Domaine\",\n \"type\": \"string\",\n \"value\": \"={{ $json.body.Url }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"62b0a416-71a2-4d2b-83f9-8c5465c72006\",\n \"name\": \"Get ScreenShot 2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 6200,\n 851\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/screenshot\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6a5b1a08-c47a-435e-8e0b-648cb8282a90\",\n \"name\": \"Convert to File2\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 6440,\n 851\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"value\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"a2aa5d45-5f41-41f7-a8ee-07c145b73d89\",\n \"name\": \"Go on ip-api.com\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 5960,\n 851\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"https://ip-api.com/\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8ddde1d2-0b09-45ca-88ef-db24352b095e\",\n \"name\": \"Delete Session8\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 6440,\n 1071\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"78ffd8e1-b4b8-444c-8a7d-410172d3a7f8\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 5920,\n 727\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 784.9798841202522,\n \"height\": 520.0741248156677,\n \"content\": \"## Debug IP\\n\\nThis small debug flow aims to check the IP you're requesting with, in case you're using a proxy\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"be5de434-5f07-40bc-a1e6-aece9ad211b4\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1580,\n 420\n ],\n \"parameters\": {\n \"width\": 751.8596006980003,\n \"height\": 430.433007240277,\n \"content\": \"## Search\\n\\n**Description** :\\nThis part aims to search on Google for the subject and find the URL of the subject page based on the input URL.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ffbb3c92-245b-4635-9adf-17d24f236bff\",\n \"name\": \"Error can't find url\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 2800,\n 280\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 404\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Error\\\": \\\"Can't find url\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"088ad72c-907a-409a-9fa4-00a16d396e1b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n 420\n ],\n \"parameters\": {\n \"width\": 827.9448220213314,\n \"height\": 502.0185388323068,\n \"content\": \"## Selenium Session\\n\\n**Description**:\\nCreation and configuration of the Selenium session.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"00b8bf19-b34e-42ed-bb2a-3fbfa5f02a25\",\n \"name\": \"Resize browser window\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 560\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $json.value.sessionId }}/window/rect\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"width\\\": 1920,\\n \\\"height\\\": 1080,\\n \\\"x\\\": 0,\\n \\\"y\\\": 0\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"007354a1-3f00-4ae9-ab53-54ded5eed563\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3500,\n -300\n ],\n \"parameters\": {\n \"width\": 3939.555135735299,\n \"height\": 821.0847869745435,\n \"content\": \"## Scrape with cookies session\\n\\n**Description**\\nThis part goes to the extracted URL, injects the cookies passed into the webhook, takes a screenshot of the webpage, and analyzes the image with GPT to extract the targeted data.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5ab44e1b-6878-4af5-bfd8-1f1e5cbee3a7\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3500,\n 580\n ],\n \"parameters\": {\n \"width\": 3336.952424000919,\n \"height\": 821.0847869745435,\n \"content\": \"## Scrape without cookies session\\n\\n**Description**\\nSame as the 'Scrape with cookies session' flow, but without the cookie injection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4fc7e290-0c60-4efe-ac3f-eb71ce5e457b\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 6340,\n -20\n ],\n \"parameters\": {\n \"text\": \"=Analyse this image and extract revlant infromation about this subject : {{ $('Webhook').item.json.body.subject }}. \\n\\nIf the webpage seem block by waf, or don't have any relant information about the subject reurn BLOCK with out any aditinonal information.\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {\n \"detail\": \"auto\",\n \"maxTokens\": 300\n },\n \"resource\": \"image\",\n \"inputType\": \"base64\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"b039ed2a-94da-4a37-b794-7fb1721a8ab3\",\n \"name\": \"OpenAI1\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4780,\n 840\n ],\n \"parameters\": {\n \"text\": \"=Analyse this image and extract revlant infromation about this subject : {{ $('Webhook').item.json.body.subject }}. \\n\\nIf the webpage seem block by waf, or don't have any relant information about the subject reurn BLOCK with out any aditinonal information.\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {\n \"detail\": \"auto\",\n \"maxTokens\": 300\n },\n \"resource\": \"image\",\n \"inputType\": \"base64\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"c69364ce-c7e3-4f7a-ae0c-bad97643da30\",\n \"name\": \"Information Extractor1\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 5400,\n 920\n ],\n \"parameters\": {\n \"text\": \"={{ $('OpenAI1').item.json.content }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are an expert extraction algorithm.\\nOnly extract relevant information from the text.\\nIf you do not know the value of an attribute asked to extract, set the attribute's value to NA.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][0].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][0].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][1].DataName }}\",\n \"description\": \"=The total number of stars on all project\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][2].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][2].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][3].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][3].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][4].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][4].description }}\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0e756adb-a6ba-421f-9d21-374e7fa74781\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 5400,\n 1140\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"920e9315-7de4-4a23-adbe-36338ea18097\",\n \"name\": \"Information Extractor2\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 6920,\n 60\n ],\n \"parameters\": {\n \"text\": \"={{ $('OpenAI').item.json.content }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are an expert extraction algorithm.\\nOnly extract relevant information from the text.\\nIf you do not know the value of an attribute asked to extract, set the attribute's value to NA. If the attribute is empty you can omit it.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][0].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][0].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][1].DataName }}\",\n \"description\": \"=The total number of stars on all project\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][2].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][2].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][3].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][3].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][4].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][4].description }}\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"aa98d16e-d20c-4a8f-8eaf-1f64751dd8ea\",\n \"name\": \"OpenAI Chat Model2\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 6940,\n 220\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba41b87e-feb7-4753-95b3-d569d54d8756\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1820,\n -680\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 813.0685668942513,\n \"height\": 507.4126722815008,\n \"content\": \"## Proxy\\n\\n**Configuration**\\n\\nTo configure your proxy with the project, follow the instructions on the GitHub project: https://github.com/Touxan/n8n-ultimate-scraper. To configure the docker-compose, you also need to add this argument to the 'Create Selenium Session' node : --proxy-server=address:port.\\n\\n### ⚠️Warning⚠️\\n Selenium does not support proxy authentication, so you need to add your server IP to the proxy whitelist. On GeoNode, it's here: https://app.geonode.com/whitelist-ip!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"194bbecc-a5b3-4c5f-a17f-94703a44f196\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 940,\n 540\n ],\n \"webhookId\": \"67d77918-2d5b-48c1-ae73-2004b32125f0\",\n \"parameters\": {\n \"path\": \"67d77918-2d5b-48c1-ae73-2004b32125f0\",\n \"options\": {},\n \"httpMethod\": \"POST\",\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"513389b0-0930-48d8-8cbb-e3575a0276ae\",\n \"name\": \"If Target Url\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1380,\n 620\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"4b608dcd-a175-4019-82c2-560320a2abce\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"empty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body['Target Url'] }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"4ca0aee7-0dd2-4c78-b99b-8c188a3917f4\",\n \"name\": \"If1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3700,\n 900\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"ff919945-b8c2-492a-b496-8617e9147389\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body['Target Url'] }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"baa4dc94-67f3-4683-b8c7-6b6e856e7c64\",\n \"name\": \"Go on url1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 3900,\n 960\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Information Extractor').item.json.output.Good_url_for_etract_information }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"2c439b0e-7c78-4ae8-b653-3f02b3834aa8\",\n \"name\": \"If2\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3340,\n 560\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"loose\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"2a1bfc1e-28a6-45d1-9581-53b632af90e0\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body.cookies }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"looseTypeValidation\": true\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"fc3260da-9131-4850-a581-55a27ce4428d\",\n \"name\": \"Go on url2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4260,\n -20\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Webhook').item.json.body['Target Url'] }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fe345010-1fa3-4d2c-8bc2-e87f6aeeb0d9\",\n \"name\": \"If3\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 4060,\n 100\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"ff919945-b8c2-492a-b496-8617e9147389\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body['Target Url'] }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"1aae02ec-3a22-4dd5-aea4-819758f130c1\",\n \"name\": \"Go on url3\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4260,\n 160\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Information Extractor').item.json.output.Good_url_for_etract_information }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"e0ae7ac4-4be7-4b9c-9247-1475ffd297b1\",\n \"connections\": {\n \"If\": {\n \"main\": [\n [\n {\n \"node\": \"If3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session5\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If1\": {\n \"main\": [\n [\n {\n \"node\": \"Go on url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Go on url1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If2\": {\n \"main\": [\n [\n {\n \"node\": \"If\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"If1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If3\": {\n \"main\": [\n [\n {\n \"node\": \"Go on url2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Go on url3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code\": {\n \"main\": [\n [\n {\n \"node\": \"Inject Cookie\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"Refresh browser\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"If Block1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI1\": {\n \"main\": [\n [\n {\n \"node\": \"If Block\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields (For testing prupose )\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Block\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Session1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot 1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Block1\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Session2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url1\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot 1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url2\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url3\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Target Url\": {\n \"main\": [\n [\n {\n \"node\": \"Google search Query \",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Create Selenium Session\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Inject Cookie\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to File\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session1\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session2\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session3\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session4\": {\n \"main\": [\n [\n {\n \"node\": \"Error1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session5\": {\n \"main\": [\n [\n {\n \"node\": \"Error\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session6\": {\n \"main\": [\n [\n {\n \"node\": \"Error3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session7\": {\n \"main\": [\n [\n {\n \"node\": \"Error2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ScreenShot \": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Refresh browser\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot \",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clean Webdriver \": {\n \"main\": [\n [\n {\n \"node\": \"If2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to File1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ScreenShot 1\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ScreenShot 2\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session8\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on ip-api.com\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot 2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session8\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor1\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model2\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor2\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Check if empty of NA\": {\n \"main\": [\n [\n {\n \"node\": \"Error can't find url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Create Selenium Session\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google search Query \": {\n \"main\": [\n [\n {\n \"node\": \"Extract First Url Match\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor\": {\n \"main\": [\n [\n {\n \"node\": \"Check if empty of NA\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Resize browser window\": {\n \"main\": [\n [\n {\n \"node\": \"Clean Webdriver \",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor1\": {\n \"main\": [\n [\n {\n \"node\": \"Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor2\": {\n \"main\": [\n [\n {\n \"node\": \"Success with cookie\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Selenium Session\": {\n \"main\": [\n [\n {\n \"node\": \"Resize browser window\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session7\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract First Url Match\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Edit Fields (For testing prupose )\": {\n \"main\": [\n [\n {\n \"node\": \"If Target Url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Selenium Ultimate Scraper Workflow", "node_count": 63, "category": "Webhooks"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 25\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.googleCloudStorage, n8n-nodes-base.if, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"pPtCy6qPfEv1qNRn\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"n3zAUYFhdqtjhcLf\",\n \"name\": \"qdrant\",\n \"createdAt\": \"2024-12-10T11:56:59.987Z\",\n \"updatedAt\": \"2024-12-10T11:56:59.987Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"53831410-b4f3-4374-8bdd-c2a33cd873cb\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -640,\n 0\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e303ccea-c0e0-4fe5-bd31-48380a0e438f\",\n \"name\": \"Google Cloud Storage\",\n \"type\": \"n8n-nodes-base.googleCloudStorage\",\n \"position\": [\n 820,\n 160\n ],\n \"parameters\": {\n \"resource\": \"object\",\n \"returnAll\": true,\n \"bucketName\": \"n8n-qdrant-demo\",\n \"listFilters\": {\n \"prefix\": \"agricultural-crops\"\n },\n \"requestOptions\": {}\n },\n \"credentials\": {\n \"googleCloudStorageOAuth2Api\": {\n \"id\": \"fn0sr7grtfprVQvL\",\n \"name\": \"Google Cloud Storage account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"737bdb15-61cf-48eb-96af-569eb5986ee8\",\n \"name\": \"Get fields for Qdrant\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1080,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"10d9147f-1c0c-4357-8413-3130829c2e24\",\n \"name\": \"=publicLink\",\n \"type\": \"string\",\n \"value\": \"=https://storage.googleapis.com/{{ $json.bucket }}/{{ $json.selfLink.split('/').splice(-1) }}\"\n },\n {\n \"id\": \"ff9e6a0b-e47a-4550-a13b-465507c75f8f\",\n \"name\": \"cropName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.id.split('/').slice(-3, -2)[0].toLowerCase()}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"2b18ed0c-38d3-49e9-be3d-4f7b35f4d9e5\",\n \"name\": \"Qdrant cluster variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -360,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"58b7384d-fd0c-44aa-9f8e-0306a99be431\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"=https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"e34c4d88-b102-43cc-a09e-e0553f2da23a\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n },\n {\n \"id\": \"33581e0a-307f-4380-9533-615791096de7\",\n \"name\": \"VoyageEmbeddingsDim\",\n \"type\": \"number\",\n \"value\": 1024\n },\n {\n \"id\": \"6e390343-2cd2-4559-aba9-82b13acb7f52\",\n \"name\": \"batchSize\",\n \"type\": \"number\",\n \"value\": 4\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"f88d290e-3311-4322-b2a5-1350fc1f8768\",\n \"name\": \"Embed crop image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2120,\n 160\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": $json.batchVoyage,\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"250c6a8d-f545-4037-8069-c834437bbe15\",\n \"name\": \"Create Qdrant Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 320,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}\",\n \"method\": \"PUT\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"vectors\\\": {\\n \\\"voyage\\\": { \\n \\\"size\\\": $('Qdrant cluster variables').first().json.VoyageEmbeddingsDim, \\n \\\"distance\\\": \\\"Cosine\\\" \\n } \\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"20b612ff-4794-43ef-bf45-008a16a2f30f\",\n \"name\": \"Check Qdrant Collection Existence\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -100,\n 0\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/exists\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c067740b-5de3-452e-a614-bf14985a73a0\",\n \"name\": \"Batches in the API's format\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1860,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"f14db112-6f15-4405-aa47-8cb56bb8ae7a\",\n \"name\": \"=batchVoyage\",\n \"type\": \"array\",\n \"value\": \"={{ $json.batch.map(item => ({ \\\"content\\\": ([{\\\"type\\\": \\\"image_url\\\", \\\"image_url\\\": item[\\\"publicLink\\\"]}])}))}}\"\n },\n {\n \"id\": \"3885fd69-66f5-4435-86a4-b80eaa568ac1\",\n \"name\": \"=batchPayloadQdrant\",\n \"type\": \"array\",\n \"value\": \"={{ $json.batch.map(item => ({\\\"crop_name\\\":item[\\\"cropName\\\"], \\\"image_path\\\":item[\\\"publicLink\\\"]})) }}\"\n },\n {\n \"id\": \"8ea7a91e-af27-49cb-9a29-41dae15c4e33\",\n \"name\": \"uuids\",\n \"type\": \"array\",\n \"value\": \"={{ $json.uuids }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"bf9a9532-db64-4c02-b91d-47e708ded4d3\",\n \"name\": \"Batch Upload to Qdrant\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2320,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points\",\n \"method\": \"PUT\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"batch\\\": {\\n \\\"ids\\\" : $('Batches in the API\\\\'s format').item.json.uuids,\\n \\\"vectors\\\": {\\\"voyage\\\": $json.data.map(item => item[\\\"embedding\\\"]) },\\n \\\"payloads\\\": $('Batches in the API\\\\'s format').item.json.batchPayloadQdrant\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3c30373f-c84c-405f-bb84-ec8b4c7419f4\",\n \"name\": \"Split in batches, generate uuids for Qdrant points\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1600,\n 160\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"import uuid\\n\\ncrops = [item.json for item in _input.all()]\\nbatch_size = int(_('Qdrant cluster variables').first()['json']['batchSize'])\\n\\ndef split_into_batches_add_uuids(array, batch_size):\\n return [\\n {\\n \\\"batch\\\": array[i:i + batch_size],\\n \\\"uuids\\\": [str(uuid.uuid4()) for j in range(len(array[i:i + batch_size]))]\\n }\\n for i in range(0, len(array), batch_size)\\n ]\\n\\n# Split crops into batches\\nbatched_crops = split_into_batches_add_uuids(crops, batch_size)\\n\\nreturn batched_crops\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"2b028f8c-0a4c-4a3a-9e2b-14b1c2401c6d\",\n \"name\": \"If collection exists\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 120,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"2104b862-667c-4a34-8888-9cb81a2e10f8\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.result.exists }}\",\n \"rightValue\": \"true\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"768793f6-391e-4cc9-b637-f32ee2f77156\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 340\n ],\n \"parameters\": {\n \"width\": 280,\n \"height\": 200,\n \"content\": \"In the next workflow, we're going to use Qdrant to get the number of images belonging to each crop type defined by `crop_name` (for example, *\\\"cucumber\\\"*). \\nTo get this information about counts in payload fields, we need to create an index on that field to optimise the resources (it needs to be done once). That's what is happening here\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0c8896f7-8c57-4add-bc4d-03c4a774bdf1\",\n \"name\": \"Payload index on crop_name\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 500,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/index\",\n \"method\": \"PUT\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"field_name\\\": \\\"crop_name\\\",\\n \\\"field_schema\\\": \\\"keyword\\\"\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"342186f6-41bf-46be-9be8-a9b1ca290d55\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -360,\n -360\n ],\n \"parameters\": {\n \"height\": 300,\n \"content\": \"Setting up variables\\n1) Cloud URL - to connect to Qdrant Cloud (your personal cluster URL)\\n2) Collection name in Qdrant\\n3) Size of Voyage embeddings (needed for collection creation in Qdrant) \\n4) Batch size for batch embedding/batch uploading to Qdrant \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fae9248c-dbcc-4b6d-b977-0047f120a587\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n -220\n ],\n \"parameters\": {\n \"content\": \"In Qdrant, you can create a collection once; if you try to create it two times with the same name, you'll get an error, so I am adding here a check if a collection with this name exists already\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f7aea242-3d98-4a1c-a98a-986ac2b4928b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 180,\n 340\n ],\n \"parameters\": {\n \"height\": 280,\n \"content\": \"If a collection with the name set up in variables doesn't exist yet, I create an empty one; \\n\\nCollection will contain [named vectors](https://qdrant.tech/documentation/concepts/vectors/#named-vectors), with a name *\\\"voyage\\\"*\\nFor these named vectors, I define two parameters:\\n1) Vectors size (in our case, Voyage embeddings size)\\n2) Similarity metric to compare embeddings: in our case, **\\\"Cosine\\\"**.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b84045c1-f66a-4543-8d42-1e76de0b6e91\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 800,\n -280\n ],\n \"parameters\": {\n \"height\": 400,\n \"content\": \"Now it's time to embed & upload to Qdrant our image datasets;\\nBoth of them, [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) and [lands](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification) were uploaded to our Google Cloud Storage bucket, and in this workflow we're fetching **the crops dataset** (for lands it will be a nearly identical workflow, up to variable names)\\n(you should replace it with your image datasets)\\n\\nDatasets consist of **image URLs**; images are grouped by folders based on their class. For example, we have a system of subfolders like *\\\"tomato\\\"* and *\\\"cucumber\\\"* for the crops dataset with image URLs of the respective class.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"255dfad8-c545-4d75-bc9c-529aa50447a9\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1080,\n -140\n ],\n \"parameters\": {\n \"height\": 240,\n \"content\": \"Google Storage node returns **mediaLink**, which can be used directly for downloading images; however, we just need a public image URL so that Voyage API can process it; so here we construct this public link and extract a crop name from the folder in which image was stored (for example, *\\\"cucumber\\\"*)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a6acce75-cce0-4de3-bc64-37592c97359b\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1600,\n -80\n ],\n \"parameters\": {\n \"height\": 180,\n \"content\": \"I regroup images into batches of `batchSize` size and, to make batch upload to Qdrant possible, generate UUIDs to use them as batch [point IDs](https://qdrant.tech/documentation/concepts/points/#point-ids) (Qdrant doesn't set up id's for the user; users have to choose them themselves)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cab3cc83-b50c-41f4-8d51-59e04bba5556\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1340,\n -60\n ],\n \"parameters\": {\n \"content\": \"Since we build anomaly detection based on the crops dataset, to test it properly, I didn't upload to Qdrant pictures of tomatoes at all; I filter them out here\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e5cdcce5-efdc-41f2-9796-656bd345f783\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1860,\n -100\n ],\n \"parameters\": {\n \"height\": 200,\n \"content\": \"Since Voyage API requires a [specific json structure](https://docs.voyageai.com/reference/multimodal-embeddings-api) for batch embeddings, as does [Qdrant's API for uploading points in batches](https://api.qdrant.tech/api-reference/points/upsert-points), I am adapting the structure of jsons\\n\\n[NB] - [payload = meta data in Qdrant]\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a7f15c44-3d5c-4b43-bfb2-94fe27a32071\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2120,\n 20\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 80,\n \"content\": \"Embedding images with Voyage model (mind `input_type`)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"01b92e7e-d954-4d58-85b1-109c336546c4\",\n \"name\": \"Filtering out tomato to test anomalies\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1340,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"f7953ae2-5333-4805-abe5-abf6da645c5e\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEquals\"\n },\n \"leftValue\": \"={{ $json.cropName }}\",\n \"rightValue\": \"tomato\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"8d564817-885e-453a-a087-900b34b84d9c\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1160,\n -280\n ],\n \"parameters\": {\n \"width\": 440,\n \"height\": 460,\n \"content\": \"## Batch Uploading Dataset to Qdrant \\n### This template imports dataset images from storage, creates embeddings for them in batches, and uploads them to Qdrant in batches. In this particular template, we work with [crops dataset](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification). However, it's analogous to [lands dataset](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification), and in general, it's adaptable to any dataset consisting of image URLs (as the following pipelines are).\\n\\n* First, check for an existing Qdrant collection to use; otherwise, create it here. Additionally, when creating the collection, we'll create a [payload index](https://qdrant.tech/documentation/concepts/indexing/#payload-index), which is required for a particular type of Qdrant requests we will use later.\\n* Next, import all (dataset) images from Google Storage but keep only non-tomato-related ones (for anomaly detection testing).\\n* Create (per batch) embeddings for all imported images using the Voyage AI multimodal embeddings API.\\n* Finally, upload the resulting embeddings and image descriptors to Qdrant via batch uploading.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0233d3d0-bbdf-4d5b-a366-53cbfa4b6f9c\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -860,\n 360\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 420,\n \"content\": \"### For anomaly detection\\n**1. This is the first pipeline to upload (crops) dataset to Qdrant's collection.**\\n2. The second pipeline is to set up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.\\n3. The third is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.\\n\\n### For KNN (k nearest neighbours) classification\\n**1. This is the first pipeline to upload (lands) dataset to Qdrant's collection.**\\n2. The second is the KNN classifier tool, which takes any image as input and classifies it based on queries to the Qdrant (lands) collection.\\n\\n### To recreate both\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) and [lands](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification) datasets from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"27776c4a-3bf9-4704-9c13-345b75ffacc0\",\n \"connections\": {\n \"Embed crop image\": {\n \"main\": [\n [\n {\n \"node\": \"Batch Upload to Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Cloud Storage\": {\n \"main\": [\n [\n {\n \"node\": \"Get fields for Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If collection exists\": {\n \"main\": [\n [\n {\n \"node\": \"Google Cloud Storage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Create Qdrant Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get fields for Qdrant\": {\n \"main\": [\n [\n {\n \"node\": \"Filtering out tomato to test anomalies\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Batch Upload to Qdrant\": {\n \"main\": [\n []\n ]\n },\n \"Create Qdrant Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Payload index on crop_name\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant cluster variables\": {\n \"main\": [\n [\n {\n \"node\": \"Check Qdrant Collection Existence\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Payload index on crop_name\": {\n \"main\": [\n [\n {\n \"node\": \"Google Cloud Storage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Batches in the API's format\": {\n \"main\": [\n [\n {\n \"node\": \"Embed crop image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Check Qdrant Collection Existence\": {\n \"main\": [\n [\n {\n \"node\": \"If collection exists\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant cluster variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Filtering out tomato to test anomalies\": {\n \"main\": [\n [\n {\n \"node\": \"Split in batches, generate uuids for Qdrant points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split in batches, generate uuids for Qdrant points\": {\n \"main\": [\n [\n {\n \"node\": \"Batches in the API's format\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant (crops dataset)", "node_count": 25, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 18\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"itzURpN5wbUNOXOw\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[2/2] KNN classifier (lands dataset)\",\n \"tags\": [\n {\n \"id\": \"QN7etptCmdcGIpkS\",\n \"name\": \"classifier\",\n \"createdAt\": \"2024-12-08T22:08:15.968Z\",\n \"updatedAt\": \"2024-12-09T19:25:04.113Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"33373ccb-164e-431c-8a9a-d68668fc70be\",\n \"name\": \"Embed image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -140,\n -240\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"image_url\\\",\\n \\\"image_url\\\": $json.imageURL\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"58adecfa-45c7-4928-b850-053ea6f3b1c5\",\n \"name\": \"Query Qdrant\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 440,\n -240\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.ImageEmbedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"limit\\\": $json.limitKNN,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"258026b7-2dda-4165-bfe1-c4163b9caf78\",\n \"name\": \"Majority Vote\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 840,\n -240\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"from collections import Counter\\n\\ninput_json = _input.all()[0]\\npoints = input_json['json']['result']['points']\\nmajority_vote_two_most_common = Counter([point[\\\"payload\\\"][\\\"landscape_name\\\"] for point in points]).most_common(2)\\n\\nreturn [{\\n \\\"json\\\": {\\n \\\"result\\\": majority_vote_two_most_common \\n }\\n}]\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"e83e7a0c-cb36-46d0-8908-86ee1bddf638\",\n \"name\": \"Increase limitKNN\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1240,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0b5d257b-1b27-48bc-bec2-78649bc844cc\",\n \"name\": \"limitKNN\",\n \"type\": \"number\",\n \"value\": \"={{ $('Propagate loop variables').item.json.limitKNN + 5}}\"\n },\n {\n \"id\": \"afee4bb3-f78b-4355-945d-3776e33337a4\",\n \"name\": \"ImageEmbedding\",\n \"type\": \"array\",\n \"value\": \"={{ $('Qdrant variables + embedding + KNN neigbours').first().json.ImageEmbedding }}\"\n },\n {\n \"id\": \"701ed7ba-d112-4699-a611-c0c134757a6c\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"={{ $('Qdrant variables + embedding + KNN neigbours').first().json.qdrantCloudURL }}\"\n },\n {\n \"id\": \"f5612f78-e7d8-4124-9c3a-27bd5870c9bf\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"={{ $('Qdrant variables + embedding + KNN neigbours').first().json.collectionName }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"8edbff53-cba6-4491-9d5e-bac7ad6db418\",\n \"name\": \"Propagate loop variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 640,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"880838bf-2be2-4f5f-9417-974b3cbee163\",\n \"name\": \"=limitKNN\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.points.length}}\"\n },\n {\n \"id\": \"5fff2bea-f644-4fd9-ad04-afbecd19a5bc\",\n \"name\": \"result\",\n \"type\": \"object\",\n \"value\": \"={{ $json.result }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6fad4cc0-f02c-429d-aa4e-0d69ebab9d65\",\n \"name\": \"Image Test URL\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -320,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"46ceba40-fb25-450c-8550-d43d8b8aa94c\",\n \"name\": \"imageURL\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query.imageURL }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"f02e79e2-32c8-4af0-8bf9-281119b23cc0\",\n \"name\": \"Return class\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1240,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"bd8ca541-8758-4551-b667-1de373231364\",\n \"name\": \"class\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result[0][0] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"83ca90fb-d5d5-45f4-8957-4363a4baf8ed\",\n \"name\": \"Check tie\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1040,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"980663f6-9d7d-4e88-87b9-02030882472c\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"gt\"\n },\n \"leftValue\": \"={{ $json.result.length }}\",\n \"rightValue\": 1\n },\n {\n \"id\": \"9f46fdeb-0f89-4010-99af-624c1c429d6a\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.result[0][1] }}\",\n \"rightValue\": \"={{ $json.result[1][1] }}\"\n },\n {\n \"id\": \"c59bc4fe-6821-4639-8595-fdaf4194c1e1\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"lte\"\n },\n \"leftValue\": \"={{ $('Propagate loop variables').item.json.limitKNN }}\",\n \"rightValue\": 100\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"847ced21-4cfd-45d8-98fa-b578adc054d6\",\n \"name\": \"Qdrant variables + embedding + KNN neigbours\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 120,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"de66070d-5e74-414e-8af7-d094cbc26f62\",\n \"name\": \"ImageEmbedding\",\n \"type\": \"array\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n },\n {\n \"id\": \"58b7384d-fd0c-44aa-9f8e-0306a99be431\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"=https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"e34c4d88-b102-43cc-a09e-e0553f2da23a\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=land-use\"\n },\n {\n \"id\": \"db37e18d-340b-4624-84f6-df993af866d6\",\n \"name\": \"limitKNN\",\n \"type\": \"number\",\n \"value\": \"=10\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d1bc4edc-37d2-43ac-8d8b-560453e68d1f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -940,\n -120\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 320,\n \"height\": 540,\n \"content\": \"Here we're classifying existing types of satellite imagery of land types:\\n- 'agricultural',\\n- 'airplane',\\n- 'baseballdiamond',\\n- 'beach',\\n- 'buildings',\\n- 'chaparral',\\n- 'denseresidential',\\n- 'forest',\\n- 'freeway',\\n- 'golfcourse',\\n- 'harbor',\\n- 'intersection',\\n- 'mediumresidential',\\n- 'mobilehomepark',\\n- 'overpass',\\n- 'parkinglot',\\n- 'river',\\n- 'runway',\\n- 'sparseresidential',\\n- 'storagetanks',\\n- 'tenniscourt'\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"13560a31-3c72-43b8-9635-3f9ca11f23c9\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n -460\n ],\n \"parameters\": {\n \"color\": 6,\n \"content\": \"I tested this KNN classifier on a whole `test` set of a dataset (it's not a part of the collection, only `validation` + `train` parts). Accuracy of classification on `test` is **93.24%**, no fine-tuning, no metric learning.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8c9dcbcb-a1ad-430f-b7dd-e19b5645b0f6\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n -520,\n -240\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b36fb270-2101-45e9-bb5c-06c4e07b769c\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1080,\n -520\n ],\n \"parameters\": {\n \"width\": 460,\n \"height\": 380,\n \"content\": \"## KNN classification workflow-tool\\n### This n8n template takes an image URL (as anomaly detection tool does), and as output, it returns a class of the object on the image (out of land types list)\\n\\n* An image URL is received via the Execute Workflow Trigger, which is then sent to the Voyage.ai Multimodal Embeddings API to fetch its embedding.\\n* The image's embedding vector is then used to query Qdrant, returning a set of X similar images with pre-labeled classes.\\n* Majority voting is done for classes of neighbouring images.\\n* A loop is used to resolve scenarios where there is a tie in Majority Voting (for example, we have 5 \\\"forest\\\" and 5 \\\"beach\\\"), and we increase the number of neighbours to retrieve.\\n* When the loop finally resolves, the identified class is returned to the calling workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"51ece7fc-fd85-4d20-ae26-4df2d3893251\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n -40\n ],\n \"parameters\": {\n \"height\": 200,\n \"content\": \"Variables define another Qdrant's collection with landscapes (uploaded similarly as the crops collection, don't forget to switch it with your data) + amount of neighbours **limitKNN** in the database we'll use for an input image classification.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7aad5904-eb0b-4389-9d47-cc91780737ba\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -180,\n -60\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"Similarly to anomaly detection tool, we're embedding input image with the Voyage model\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d3702707-ee4a-481f-82ca-d9386f5b7c8a\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 440,\n -500\n ],\n \"parameters\": {\n \"width\": 740,\n \"height\": 200,\n \"content\": \"## Tie loop\\nHere we're [querying](https://api.qdrant.tech/api-reference/search/query-points) Qdrant, getting **limitKNN** nearest neighbours to our image <*Query Qdrant node*>, parsing their classes from payloads (images were pre-labeled & uploaded with their labels to Qdrant) & calculating the most frequent class name <*Majority Vote node*>. If there is a tie <*check tie node*> in 2 most common classes, for example, we have 5 \\\"forest\\\" and 5 \\\"harbor\\\", we repeat the procedure with the number of neighbours increased by 5 <*propagate loop variables node* and *increase limitKNN node*>.\\nIf there is no tie, or we have already checked 100 neighbours, we exit the loop <*check tie node*> and return the class-answer.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d26911bb-0442-4adc-8511-7cec2d232393\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1240,\n 160\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"Here, we extract the name of the input image class decided by the Majority Vote\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"84ffc859-1d5c-4063-9051-3587f30a0017\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n 80\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 260,\n \"content\": \"### KNN (k nearest neighbours) classification\\n1. The first pipeline is uploading (lands) dataset to Qdrant's collection.\\n2. **This is the KNN classifier tool, which takes any image as input and classifies it based on queries to the Qdrant (lands) collection.**\\n\\n### To recreate it\\nYou'll have to upload [lands](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"imageURL\": \"https://storage.googleapis.com/n8n-qdrant-demo/land-use/images_train_test_val/test/buildings/buildings_000323.png\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c8cfe732-fd78-4985-9540-ed8cb2de7ef3\",\n \"connections\": {\n \"Check tie\": {\n \"main\": [\n [\n {\n \"node\": \"Increase limitKNN\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Return class\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embed image\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant variables + embedding + KNN neigbours\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Query Qdrant\": {\n \"main\": [\n [\n {\n \"node\": \"Propagate loop variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Majority Vote\": {\n \"main\": [\n [\n {\n \"node\": \"Check tie\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image Test URL\": {\n \"main\": [\n [\n {\n \"node\": \"Embed image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Increase limitKNN\": {\n \"main\": [\n [\n {\n \"node\": \"Query Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Image Test URL\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Propagate loop variables\": {\n \"main\": [\n [\n {\n \"node\": \"Majority Vote\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant variables + embedding + KNN neigbours\": {\n \"main\": [\n [\n {\n \"node\": \"Query Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[2/2] KNN classifier (lands dataset)", "node_count": 18, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for [2/3] set up medoids (2 types) for anomaly detection (crops dataset)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 48\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest, n8n-nodes-base.merge\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"m9aACcHqydEbH4nR\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"spMntyrlE9ydvWFA\",\n \"name\": \"anomaly-detection\",\n \"createdAt\": \"2024-12-08T22:05:15.945Z\",\n \"updatedAt\": \"2024-12-09T12:50:19.287Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"edaa871e-2b79-400e-8328-333d250bfdd2\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -660,\n -220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"ebd964de-faa4-4dc0-9245-cc9154b9ce02\",\n \"name\": \"Total Points in Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 180,\n -220\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').item.json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').item.json.collectionName }}/points/count\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"exact\\\": true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b51f6344-d090-4341-a908-581b78664b07\",\n \"name\": \"Cluster Distance Matrix\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1200,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/search/matrix/offsets\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"sample\\\": $json.maxClusterSize,\\n \\\"limit\\\": $json.maxClusterSize,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"filter\\\": {\\n \\\"must\\\": {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": { \\\"value\\\": $json.cropName }\\n }\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"bebe5249-b138-4d7a-84b8-51eaed4331b8\",\n \"name\": \"Scipy Sparse Matrix\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1460,\n -360\n ],\n \"parameters\": {\n \"mode\": \"runOnceForEachItem\",\n \"language\": \"python\",\n \"pythonCode\": \"from scipy.sparse import coo_array\\n\\ncluster = _input.item.json['result']\\n\\nscores = list(cluster['scores'])\\noffsets_row = list(cluster['offsets_row'])\\noffsets_col = list(cluster['offsets_col'])\\n\\ncluster_matrix = coo_array((scores, (offsets_row, offsets_col)))\\nthe_most_similar_to_others = cluster_matrix.sum(axis=1).argmax()\\n\\nreturn {\\n \\\"json\\\": {\\n \\\"medoid_id\\\": cluster[\\\"ids\\\"][the_most_similar_to_others]\\n }\\n}\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"006c38bb-a271-40e1-9c5b-5a0a29ea96de\",\n \"name\": \"Set medoid id\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2000,\n -680\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_medoid\\\": true},\\n \\\"points\\\": [$json.medoid_id]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"aeeccfc5-67bf-4047-8a5a-8830e4fc87e8\",\n \"name\": \"Get Medoid Vector\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2000,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"ids\\\": [$json.medoid_id],\\n \\\"with_vector\\\": true,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"11fe54d5-9dc8-49ce-9e3f-1103ace0a3d5\",\n \"name\": \"Prepare for Searching Threshold\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2240,\n -360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6faa5949-968c-42bf-8ce8-cf2403566eba\",\n \"name\": \"oppositeOfCenterVector\",\n \"type\": \"array\",\n \"value\": \"={{ $json.result[0].vector.voyage.map(value => value * -1)}}\"\n },\n {\n \"id\": \"84eb42be-2ea5-4a76-9c76-f21a962360a3\",\n \"name\": \"cropName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result[0].payload.crop_name }}\"\n },\n {\n \"id\": \"b68d2e42-0dde-4875-bb59-056f29b6ac0a\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result[0].id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"4051b488-2e2e-4d33-9cc9-e1403c9173ed\",\n \"name\": \"Searching Score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2500,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.oppositeOfCenterVector,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"exact\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": {\\\"value\\\": $json.cropName }\\n }\\n ]\\n },\\n \\\"limit\\\": $('Medoids Variables').first().json.furthestFromCenter,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1c6cb6ee-ce3a-4d1a-b1b4-1e59e9a8f5b6\",\n \"name\": \"Threshold Score\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2760,\n -360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"579a2ee4-0ab2-4fde-909a-01166624c9d8\",\n \"name\": \"thresholdScore\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.points.last().score * -1 }}\"\n },\n {\n \"id\": \"11eab775-f709-40a9-b0fe-d1059b67de05\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Prepare for Searching Threshold').item.json.centerId }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"1bab1b9e-7b80-4ef3-8e3d-be4874792e58\",\n \"name\": \"Set medoid threshold score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2940,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_medoid_cluster_threshold\\\": $json.thresholdScore },\\n \\\"points\\\": [$json.centerId]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"cd5af197-4d79-49c2-aba6-a20571bd5c2e\",\n \"name\": \"Split Out1\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 860,\n 80\n ],\n \"parameters\": {\n \"options\": {\n \"destinationFieldName\": \"\"\n },\n \"fieldToSplitOut\": \"['text anchors']\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"956c126c-8bd6-4390-8704-3f0a5a2ce479\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1200,\n -80\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"fieldsToMatchString\": \"cropName\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"54a5d467-4985-49b5-9f13-e6563acf08b3\",\n \"name\": \"Textual (visual) crop descriptions\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 380,\n 80\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"{\\\"text anchors\\\": [{\\\"cropName\\\": \\\"pearl_millet(bajra)\\\", \\\"cropDescription\\\": \\\"pearl_millet(bajra) - Tall stalks with cylindrical, spiked green grain heads.\\\"},\\n{\\\"cropName\\\": \\\"tobacco-plant\\\", \\\"cropDescription\\\": \\\"tobacco-plant - Broad, oval leaves and small tubular flowers, typically pink or white.\\\"},\\n{\\\"cropName\\\": \\\"cherry\\\", \\\"cropDescription\\\": \\\"cherry - Small, glossy red fruits on a medium-sized tree with slender branches and serrated leaves.\\\"},\\n{\\\"cropName\\\": \\\"cotton\\\", \\\"cropDescription\\\": \\\"cotton - Bushy plant with fluffy white fiber-filled pods and lobed green leaves.\\\"},\\n{\\\"cropName\\\": \\\"banana\\\", \\\"cropDescription\\\": \\\"banana - Tall herbaceous plant with broad, elongated green leaves and hanging bunches of yellow fruits.\\\"},\\n{\\\"cropName\\\": \\\"cucumber\\\", \\\"cropDescription\\\": \\\"cucumber - Creeping vine with yellow flowers and elongated green cylindrical fruits.\\\"},\\n{\\\"cropName\\\": \\\"maize\\\", \\\"cropDescription\\\": \\\"maize - Tall stalks with broad leaves, tassels at the top, and ears of corn sheathed in husks.\\\"},\\n{\\\"cropName\\\": \\\"wheat\\\", \\\"cropDescription\\\": \\\"wheat - Slender, upright stalks with narrow green leaves and golden, spiky grain heads.\\\"},\\n{\\\"cropName\\\": \\\"clove\\\", \\\"cropDescription\\\": \\\"clove - Small tree with oval green leaves and clusters of unopened reddish flower buds.\\\"},\\n{\\\"cropName\\\": \\\"jowar\\\", \\\"cropDescription\\\": \\\"jowar - Tall grass-like plant with broad leaves and round, compact grain clusters at the top.\\\"},\\n{\\\"cropName\\\": \\\"olive-tree\\\", \\\"cropDescription\\\": \\\"olive-tree - Medium-sized tree with silvery-green leaves and small oval green or black fruits.\\\"},\\n{\\\"cropName\\\": \\\"soyabean\\\", \\\"cropDescription\\\": \\\"soyabean - Bushy plant with trifoliate green leaves and small pods containing rounded beans.\\\"},\\n{\\\"cropName\\\": \\\"coffee-plant\\\", \\\"cropDescription\\\": \\\"coffee-plant - Shrub with shiny dark green leaves and clusters of small white flowers, followed by red berries.\\\"},\\n{\\\"cropName\\\": \\\"rice\\\", \\\"cropDescription\\\": \\\"rice - Short, water-loving grass with narrow green leaves and drooping golden grain heads.\\\"},\\n{\\\"cropName\\\": \\\"lemon\\\", \\\"cropDescription\\\": \\\"lemon - Small tree with glossy green leaves and oval yellow fruits.\\\"},\\n{\\\"cropName\\\": \\\"mustard-oil\\\", \\\"cropDescription\\\": \\\"mustard-oil - Small herbaceous plant with yellow flowers and slender seed pods.\\\"},\\n{\\\"cropName\\\": \\\"vigna-radiati(mung)\\\", \\\"cropDescription\\\": \\\"vigna-radiati(mung) - Low-growing plant with trifoliate leaves and small green pods containing mung beans.\\\"},\\n{\\\"cropName\\\": \\\"coconut\\\", \\\"cropDescription\\\": \\\"coconut - Tall palm tree with feathery leaves and large round fibrous fruits.\\\"},\\n{\\\"cropName\\\": \\\"gram\\\", \\\"cropDescription\\\": \\\"gram - Low bushy plant with feathery leaves and small pods containing round seeds.\\\"},\\n{\\\"cropName\\\": \\\"pineapple\\\", \\\"cropDescription\\\": \\\"pineapple - Low plant with spiky, sword-shaped leaves and large, spiky golden fruits.\\\"},\\n{\\\"cropName\\\": \\\"sugarcane\\\", \\\"cropDescription\\\": \\\"sugarcane - Tall, jointed stalks with long narrow leaves and a sweet interior.\\\"},\\n{\\\"cropName\\\": \\\"sunflower\\\", \\\"cropDescription\\\": \\\"sunflower - Tall plant with rough green leaves and large bright yellow flower heads.\\\"},\\n{\\\"cropName\\\": \\\"chilli\\\", \\\"cropDescription\\\": \\\"chilli - Small bushy plant with slender green or red elongated fruits.\\\"},\\n{\\\"cropName\\\": \\\"fox_nut(makhana)\\\", \\\"cropDescription\\\": \\\"fox_nut(makhana) - Aquatic plant with floating round leaves and spiny white seeds.\\\"},\\n{\\\"cropName\\\": \\\"jute\\\", \\\"cropDescription\\\": \\\"jute - Tall plant with long, straight stalks and narrow green leaves.\\\"},\\n{\\\"cropName\\\": \\\"papaya\\\", \\\"cropDescription\\\": \\\"papaya - Medium-sized tree with hollow trunk, large lobed leaves, and yellow-orange pear-shaped fruits.\\\"},\\n{\\\"cropName\\\": \\\"tea\\\", \\\"cropDescription\\\": \\\"tea - Small shrub with glossy dark green leaves and small white flowers.\\\"},\\n{\\\"cropName\\\": \\\"cardamom\\\", \\\"cropDescription\\\": \\\"cardamom - Low tropical plant with broad leaves and clusters of small, light green pods.\\\"},\\n{\\\"cropName\\\": \\\"almond\\\", \\\"cropDescription\\\": \\\"almond - Medium-sized tree with serrated leaves and oval green pods containing edible nuts.\\\"}]}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"14c25e76-8a2c-4df8-98ea-b2f31b15fd1f\",\n \"name\": \"Embed text\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1460,\n -80\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"text\\\",\\n \\\"text\\\": $json.cropDescription\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"query\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8763db0a-9a92-4ffd-8a40-c7db614b735f\",\n \"name\": \"Get Medoid by Text\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1640,\n -80\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.data[0].embedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"exact\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": {\\\"value\\\": $('Merge').item.json.cropName }\\n }\\n ]\\n },\\n \\\"limit\\\": 1,\\n \\\"with_payload\\\": true,\\n \\\"with_vector\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5c770ca2-6e1a-4c4b-80e0-dcbeeda43a0f\",\n \"name\": \"Set text medoid id\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2000,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_text_anchor_medoid\\\": true},\\n \\\"points\\\": [$json.result.points[0].id]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c08ff472-51ab-4c3d-b9c0-2170fda2ccef\",\n \"name\": \"Prepare for Searching Threshold1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2300,\n 80\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6faa5949-968c-42bf-8ce8-cf2403566eba\",\n \"name\": \"oppositeOfCenterVector\",\n \"type\": \"array\",\n \"value\": \"={{ $json.result.points[0].vector.voyage.map(value => value * -1)}}\"\n },\n {\n \"id\": \"84eb42be-2ea5-4a76-9c76-f21a962360a3\",\n \"name\": \"cropName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result.points[0].payload.crop_name }}\"\n },\n {\n \"id\": \"b68d2e42-0dde-4875-bb59-056f29b6ac0a\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result.points[0].id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"84ba4de5-aa9b-43fb-89cb-70db0b3ca334\",\n \"name\": \"Threshold Score1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2820,\n 80\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"579a2ee4-0ab2-4fde-909a-01166624c9d8\",\n \"name\": \"thresholdScore\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.points.last().score * -1 }}\"\n },\n {\n \"id\": \"11eab775-f709-40a9-b0fe-d1059b67de05\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Prepare for Searching Threshold1').item.json.centerId }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"f490d224-38a8-4087-889d-1addb4472471\",\n \"name\": \"Searching Text Medoid Score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2560,\n 80\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.oppositeOfCenterVector,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"exact\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": {\\\"value\\\": $json.cropName }\\n }\\n ]\\n },\\n \\\"limit\\\": $('Text Medoids Variables').first().json.furthestFromCenter,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"f5035aca-1706-4c8d-bd26-49b3451ae04b\",\n \"name\": \"Medoids Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -140,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5eb23ad2-aacd-468f-9a27-ef2b63e6bd08\",\n \"name\": \"furthestFromCenter\",\n \"type\": \"number\",\n \"value\": 5\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"c9cad66d-4a76-4092-bfd6-4860493f942a\",\n \"name\": \"Text Medoids Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -140,\n 80\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5eb23ad2-aacd-468f-9a27-ef2b63e6bd08\",\n \"name\": \"furthestFromCenter\",\n \"type\": \"number\",\n \"value\": 1\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ecab63f7-7a72-425a-8f5a-0c707e7f77bc\",\n \"name\": \"Qdrant cluster variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -420,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"58b7384d-fd0c-44aa-9f8e-0306a99be431\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"=https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"e34c4d88-b102-43cc-a09e-e0553f2da23a\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6e81f0b0-3843-467e-9c93-40026e57fa91\",\n \"name\": \"Info About Crop Clusters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 600,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5327b254-b703-4a34-a398-f82edb1d6d6b\",\n \"name\": \"=cropsNumber\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.hits.length }}\"\n },\n {\n \"id\": \"79168efa-11b8-4a7b-8851-da9c8cbd700b\",\n \"name\": \"maxClusterSize\",\n \"type\": \"number\",\n \"value\": \"={{ Math.max(...$json.result.hits.map(item => item.count)) }}\"\n },\n {\n \"id\": \"e1367cec-9629-4c69-a8d7-3eeae3ac94d3\",\n \"name\": \"cropNames\",\n \"type\": \"array\",\n \"value\": \"={{ $json.result.hits.map(item => item.value)}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"20191c0a-5310-48f2-8be4-1d160f237db2\",\n \"name\": \"Crop Counts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 380,\n -220\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/facet\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"limit\\\": $json.result.count,\\n \\\"exact\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"a81103bb-6522-49a2-8102-83c7e004b9b3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1260,\n -340\n ],\n \"parameters\": {\n \"width\": 520,\n \"height\": 240,\n \"content\": \"## Setting Up Medoids for Anomaly Detection\\n### Preparatory workflow to set cluster centres and cluster threshold scores, so anomalies can be detected based on these thresholds\\nHere, we're using two approaches to set up these centres: the upper branch is the *\\\"distance matrix approach\\\"*, and the lower is the *\\\"multimodal embedding model approach\\\"*.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"38fc8252-7e27-450d-b09e-59ceaebc5378\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -420,\n -340\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"Once again, variables for Qdrant: cluster URL and a collection we're working with\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2d0e3b52-d382-428c-9b37-870f4c53b8e7\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n -360\n ],\n \"parameters\": {\n \"height\": 100,\n \"content\": \"Which point in the cluster we're using to draw threshold on: the furthest one from center, or the 2nd, ... Xth furthest one;\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b0b300f3-e2c9-4c36-8a1d-6705932c296c\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n -500\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 240,\n \"content\": \"Here we are getting [facet counts](https://qdrant.tech/documentation/concepts/payload/?q=facet#facet-counts): information which unique values are there behind *\\\"crop_name\\\"* payload and how many points have these values (for example, we have 31 *\\\"cucumber\\\"* and 29 *\\\"cotton\\\"*)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0d2584da-5fd0-4830-b329-c78b0debf584\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n 260\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"Which point in the cluster we're using to draw threshold on: the furthest one from center, or the 2nd, ... Xth furthest one;\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f4c98469-d426-415c-916d-1bc442cf6a21\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n -400\n ],\n \"parameters\": {\n \"height\": 140,\n \"content\": \"We need to get the [total amount of points](https://qdrant.tech/documentation/concepts/points/?q=count#counting-points) in Qdrant collection to use it as a `limit` in the *\\\"Crop Counts\\\"* node, so we won't lose any information;\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"037af9df-34c4-488d-8c89-561ac25247c4\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 600,\n -640\n ],\n \"parameters\": {\n \"width\": 220,\n \"height\": 380,\n \"content\": \"Here we're extracting and gathering all the information about crop clusters, so we can call [Qdrant distance matrix API](https://qdrant.tech/documentation/concepts/explore/?q=distance+#distance-matrix) for each cluster.\\nWe're propagating **the biggest cluster size** (of labeled data, in our case all data is labeled; for real use cases don't call distance matrix API if your labeled data is more than a couple of hundreds), **the number of unique crop values** and **unique crop values** themselves. We will run the algorithm once per unique crop cluster (to find it's center and threshold).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b4e635e3-233d-4358-ad11-250a2b14a2f7\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n 260\n ],\n \"parameters\": {\n \"height\": 200,\n \"content\": \"Hardcoded descriptions on how each crop usually looks; They were generated with chatGPT, and that can be technically done directly in n8n based on the crop name or a crop picture (we need a good description of how the most normal specimen of a crop looks like)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4fda1841-e7e3-4bd2-acf2-ee7338598184\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n -800\n ],\n \"parameters\": {\n \"height\": 400,\n \"content\": \"Calling [distance matrix API](https://qdrant.tech/documentation/concepts/explore/?q=distance+#distance-matrix) once per cluster. \\n\\n`sample` - how many points we are sampling (here filtered by `crop_name` field, so we are sampling within each cluster, and since we are passing the biggest cluster size to `sample`, we will get all points from each cluster.\\n\\n`limit` is the number of neighbours distance to which we will see calculated. Since we want all pairwise distances between the points within a cluster, here we're once again setting an upper limit equal to the biggest cluster size; \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"19c4bb6d-abcb-423b-b883-48c779d0307d\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 860,\n -220\n ],\n \"parameters\": {\n \"include\": \"allOtherFields\",\n \"options\": {\n \"destinationFieldName\": \"cropName\"\n },\n \"fieldToSplitOut\": \"cropNames\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f6d74ced-1998-4dbd-ab04-ca1b6ea409a5\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 840,\n -60\n ],\n \"parameters\": {\n \"width\": 150,\n \"height\": 80,\n \"content\": \"Splitting out into each unique crop cluster\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b3adb2bc-61f5-42ff-bb5d-11faa12189b7\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1460,\n -640\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 240,\n \"content\": \"Using distance matrix generated by Qdrant and `coo_array` from `scipy`, we're finding a **representative** for each cluster (point which is the most similar to all other points within a cluster, based on the **Cosine** distance)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d9d3953e-8b69-4b6a-86f2-b2d2db28d4ad\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 100\n ],\n \"parameters\": {\n \"height\": 280,\n \"content\": \"To find a **representative** with this approach, we:\\n1) Embed descriptions of crops with the same Voyage model we used for images (we can do so, since model is multimodal)\\n2) For each (crop) cluster, find an image the closest by **Cosine** similarity metric to this embedded description. We will consider it a perfect representative of the cluster\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8751efd4-d85e-4dc8-86ef-90073d49b6df\",\n \"name\": \"Sticky Note13\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1460,\n 100\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 140,\n \"content\": \"Embedding descriptions with Voyage model \\n[Note] mind `input_type`, it's *\\\"query\\\"*\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"652bc70a-4e6f-416a-977b-5d29ae9cb4f0\",\n \"name\": \"Sticky Note14\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1640,\n 100\n ],\n \"parameters\": {\n \"height\": 260,\n \"content\": \"Find the closest image to the description embeddings (done per cluster)\\n[Note] Mind `exact` parameter\\n[Note] `limit` is 1 because vector database always returns points sorted by distance from the most similar one to the least\\n[Note] `using` parameter is here because our vectors uploaded in the previous pipeline are named *\\\"voyage\\\"*.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a5836982-0de0-4692-883c-267602468ed2\",\n \"name\": \"Set text medoid threshold score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3000,\n 80\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_text_anchor_medoid_cluster_threshold\\\": $json.thresholdScore },\\n \\\"points\\\": [$json.centerId]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5354d197-be5e-4add-b721-9e5e3943e53d\",\n \"name\": \"Sticky Note15\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1960,\n -460\n ],\n \"parameters\": {\n \"width\": 200,\n \"height\": 80,\n \"content\": \"Fetching vectors of centres by their IDs\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"93043602-92bc-40ac-b967-ddb7289e5d22\",\n \"name\": \"Sticky Note16\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2000,\n -820\n ],\n \"parameters\": {\n \"height\": 100,\n \"content\": \"Set in Qdrant *\\\"is_medoid\\\"* [payloads](https://qdrant.tech/documentation/concepts/payload/) for points which were defined as centres by *\\\"distance matrix approach\\\"*\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cb1364ad-e21c-4336-9a5b-15e80c2ed2f2\",\n \"name\": \"Sticky Note17\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2280,\n 260\n ],\n \"parameters\": {\n \"height\": 180,\n \"content\": \"Here, we don't have to fetch a vector by point id as in the *\\\"distance matrix approach\\\"*, since [an API call in the previous node](https://api.qdrant.tech/api-reference/search/query-points) is able to return vectors stored in Qdrant as a response, while the distance matrix API returns only points IDs.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6d735a28-a93e-41f1-9889-2557a1dd7aec\",\n \"name\": \"Sticky Note18\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1980,\n 320\n ],\n \"parameters\": {\n \"height\": 140,\n \"content\": \"Set in Qdrant *\\\"is_text_anchor_medoid\\\"* [payloads](https://qdrant.tech/documentation/concepts/payload/) for points which were defined as centres by *\\\"multimodal embedding model approach\\\"*.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7c6796a9-260b-41c0-9ac7-feb5d4d95c19\",\n \"name\": \"Sticky Note19\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2240,\n -500\n ],\n \"parameters\": {\n \"width\": 440,\n \"height\": 100,\n \"content\": \"Starting from here, this and the three following nodes are analogous for both methods, with a difference only in variable names. The goal is to find a **class (cluster) threshold score** so we can use it for anomaly detection (for each class).\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5025936d-d49c-4cc1-a675-3bde71627c40\",\n \"name\": \"Sticky Note20\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2280,\n -180\n ],\n \"parameters\": {\n \"height\": 220,\n \"content\": \"Finding the most dissimilar point to a centre vector (within each class) is equivalent to finding the most similar point to the [opposite](https://mathinsight.org/image/vector_opposite) of a centre vector, aka the centre vector with all coordinates multiplied by -1. It is always true with **Cosine** vector similarity metric (that we're using).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fa9026e4-0c92-4755-92a0-5e400b5f04c9\",\n \"name\": \"Sticky Note21\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2580,\n -140\n ],\n \"parameters\": {\n \"width\": 520,\n \"height\": 140,\n \"content\": \"So here, we found the most dissimilar point within the crop class to the class centre (or the Xth dissimilar point, depending on a variable set in the beginning of this pipeline). Our **threshold score** is the similarity score between this point and the class centre. Now we're saving it as meta information of each class centre point. All preparatory work for anomaly detection is done.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8e172a7c-6865-4daf-9d9c-86e0dba2c0a2\",\n \"name\": \"Sticky Note22\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -900,\n -820\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 300,\n \"content\": \"### For anomaly detection\\n1. The first pipeline is uploading (crops) dataset to Qdrant's collection.\\n2. **This is the second pipeline, to set up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.**\\n3. The third one is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.\\n\\n### To recreate it\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"a23fc305-7ecd-4754-b208-2d964d9b1eda\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Embed text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Cluster Distance Matrix\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embed text\": {\n \"main\": [\n [\n {\n \"node\": \"Get Medoid by Text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Crop Counts\": {\n \"main\": [\n [\n {\n \"node\": \"Info About Crop Clusters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set medoid id\": {\n \"main\": [\n []\n ]\n },\n \"Searching Score\": {\n \"main\": [\n [\n {\n \"node\": \"Threshold Score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Threshold Score\": {\n \"main\": [\n [\n {\n \"node\": \"Set medoid threshold score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Threshold Score1\": {\n \"main\": [\n [\n {\n \"node\": \"Set text medoid threshold score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Medoid Vector\": {\n \"main\": [\n [\n {\n \"node\": \"Prepare for Searching Threshold\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Medoids Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Total Points in Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Medoid by Text\": {\n \"main\": [\n [\n {\n \"node\": \"Set text medoid id\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Prepare for Searching Threshold1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Scipy Sparse Matrix\": {\n \"main\": [\n [\n {\n \"node\": \"Set medoid id\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Get Medoid Vector\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Medoids Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Textual (visual) crop descriptions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Cluster Distance Matrix\": {\n \"main\": [\n [\n {\n \"node\": \"Scipy Sparse Matrix\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Info About Crop Clusters\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant cluster variables\": {\n \"main\": [\n [\n {\n \"node\": \"Medoids Variables\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Text Medoids Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Total Points in Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Crop Counts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Searching Text Medoid Score\": {\n \"main\": [\n [\n {\n \"node\": \"Threshold Score1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prepare for Searching Threshold\": {\n \"main\": [\n [\n {\n \"node\": \"Searching Score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prepare for Searching Threshold1\": {\n \"main\": [\n [\n {\n \"node\": \"Searching Text Medoid Score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant cluster variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Textual (visual) crop descriptions\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)", "node_count": 48, "category": "General Automation"}}
{"prompt": "Design a workflow using n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote to [3/3] anomaly detection tool (crops dataset)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"G8jRDBvwsMkkMiLN\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[3/3] Anomaly detection tool (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"spMntyrlE9ydvWFA\",\n \"name\": \"anomaly-detection\",\n \"createdAt\": \"2024-12-08T22:05:15.945Z\",\n \"updatedAt\": \"2024-12-09T12:50:19.287Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"e01bafec-eb24-44c7-b3c4-a60f91666350\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 400,\n \"height\": 740,\n \"content\": \"We are working here with crops dataset: \\nExisting (so not anomalies) crops images in dataset are:\\n- 'pearl_millet(bajra)',\\n- 'tobacco-plant',\\n- 'cherry',\\n- 'cotton',\\n- 'banana',\\n- 'cucumber',\\n- 'maize',\\n- 'wheat',\\n- 'clove',\\n- 'jowar',\\n- 'olive-tree',\\n- 'soyabean',\\n- 'coffee-plant',\\n- 'rice',\\n- 'lemon',\\n- 'mustard-oil',\\n- 'vigna-radiati(mung)',\\n- 'coconut',\\n- 'gram',\\n- 'pineapple',\\n- 'sugarcane',\\n- 'sunflower',\\n- 'chilli',\\n- 'fox_nut(makhana)',\\n- 'jute',\\n- 'papaya',\\n- 'tea',\\n- 'cardamom',\\n- 'almond'\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b9943781-de1f-4129-9b81-ed836e9ebb11\",\n \"name\": \"Embed image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 680,\n 60\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"image_url\\\",\\n \\\"image_url\\\": $('Image URL hardcode').first().json.imageURL\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"47b72bc2-4817-48c6-b517-c1328e402468\",\n \"name\": \"Get similarity of medoids\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 940,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.data[0].embedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"limit\\\": $('Info About Crop Labeled Clusters').first().json.cropsNumber,\\n \\\"with_payload\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n { \\n \\\"key\\\": $('Variables for medoids').first().json.clusterCenterType,\\n \\\"match\\\": {\\n \\\"value\\\": true\\n }\\n }\\n ]\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"42d7eb27-ec38-4406-b5c4-27eb45358e93\",\n \"name\": \"Compare scores\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1140,\n 60\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"points = _input.first()['json']['result']['points']\\nthreshold_type = _('Variables for medoids').first()['json']['clusterThresholdCenterType']\\n\\nmax_score = -1\\ncrop_with_max_score = None\\nundefined = True\\n\\nfor center in points:\\n if center['score'] >= center['payload'][threshold_type]:\\n undefined = False\\n if center['score'] > max_score:\\n max_score = center['score']\\n crop_with_max_score = center['payload']['crop_name']\\n\\nif undefined:\\n result_message = \\\"ALERT, we might have a new undefined crop!\\\"\\nelse:\\n result_message = f\\\"Looks similar to {crop_with_max_score}\\\"\\n\\nreturn [{\\n \\\"json\\\": {\\n \\\"result\\\": result_message\\n }\\n}]\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"23aa604a-ff0b-4948-bcd5-af39300198c0\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n -220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 380,\n \"content\": \"## Crop Anomaly Detection Tool\\n### This is the tool that can be used directly for anomalous crops detection. \\nIt takes as input (any) **image URL** and returns a **text message** telling if whatever this image depicts is anomalous to the crop dataset stored in Qdrant. \\n\\n* An Image URL is received via the Execute Workflow Trigger which is used to generate embedding vectors via the Voyage.ai Embeddings API.\\n* The returned vectors are used to query the Qdrant collection to determine if the given crop is known by comparing it to **threshold scores** of each image class (crop type).\\n* If the image scores lower than all thresholds, then the image is considered an anomaly for the dataset.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a79eca2-44f9-4aee-8a0d-9c7ca2f9149d\",\n \"name\": \"Variables for medoids\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -200,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dbbc1e7b-c63e-4ff1-9524-8ef3e9f6cd48\",\n \"name\": \"clusterCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid\"\n },\n {\n \"id\": \"a994ce37-2530-4030-acfb-ec777a7ddb05\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"12f0a9e6-686d-416e-a61b-72d034ec21ba\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n },\n {\n \"id\": \"4c88a617-d44f-4776-b457-8a1dffb1d03c\",\n \"name\": \"clusterThresholdCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid_cluster_threshold\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"13b25434-bd66-4293-93f1-26c67b9ec7dd\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -340,\n 260\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 360,\n \"height\": 200,\n \"content\": \"**clusterCenterType** - either\\n* \\\"is_text_anchor_medoid\\\" or\\n* \\\"is_medoid\\\"\\n\\n\\n**clusterThresholdCenterType** - either\\n* \\\"is_text_anchor_medoid_cluster_threshold\\\" or\\n* \\\"is_medoid_cluster_threshold\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"869b0962-6cae-487d-8230-539a0cc4c14c\",\n \"name\": \"Info About Crop Labeled Clusters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 440,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5327b254-b703-4a34-a398-f82edb1d6d6b\",\n \"name\": \"=cropsNumber\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.hits.length }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"5d3956f8-f43b-439e-b176-a594a21d8011\",\n \"name\": \"Total Points in Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 40,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/count\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"exact\\\": true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"14ba3db9-3965-4b20-b333-145616d45c3a\",\n \"name\": \"Each Crop Counts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 240,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/facet\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"limit\\\": $json.result.count,\\n \\\"exact\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e37c6758-0556-4a56-ab14-d4df663cb53a\",\n \"name\": \"Image URL hardcode\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -480,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"46ceba40-fb25-450c-8550-d43d8b8aa94c\",\n \"name\": \"imageURL\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query.imageURL }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"b24ad1a7-0cf8-4acc-9c18-6fe9d58b10f2\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n -720,\n 60\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"50424f2b-6831-41bf-8de4-81f69d901ce1\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -240,\n -80\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 120,\n \"content\": \"Variables to access Qdrant's collection we uploaded & prepared for anomaly detection in 2 previous pipelines\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e8ed3ca-1bba-4214-b34b-376a237842ff\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 40,\n -120\n ],\n \"parameters\": {\n \"width\": 560,\n \"height\": 140,\n \"content\": \"These three nodes are needed just to figure out how many different classes (crops) we have in our Qdrant collection: **cropsNumber** (needed in *\\\"Get similarity of medoids\\\"* node. \\n[Note] *\\\"Total Points in Collection\\\"* -> *\\\"Each Crop Counts\\\"* were used&explained already in *\\\"[2/4] Set up medoids (2 types) for anomaly detection (crops dataset)\\\"* pipeline.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e2fa5763-6e97-4ff5-8919-1cb85a3c6968\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 240\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"Here, we're embedding the image passed to this workflow tool with the Voyage embedding model to compare the image to all crop images in the database.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cdb6b8d3-f7f4-4d66-850f-ce16c8ed98b9\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n 220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 180,\n \"content\": \"Checking how similar the image is to all the centres of clusters (crops).\\nIf it's more similar to the thresholds we set up and stored in centres in the previous workflow, the image probably belongs to this crop class; otherwise, it's anomalous to the class. \\nIf image is anomalous to all the classes, it's an anomaly.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"03b4699f-ba43-4f5f-ad69-6f81deea2641\",\n \"name\": \"Sticky Note22\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -620,\n 580\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 300,\n \"content\": \"### For anomaly detection\\n1. The first pipeline is uploading (crops) dataset to Qdrant's collection.\\n2. The second pipeline sets up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.\\n3. **This is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.**\\n\\n### To recreate it\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"imageURL\": \"https://storage.googleapis.com/n8n-qdrant-demo/agricultural-crops%2Fcotton%2Fimage%20(36).jpg\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"f67b764b-9e1a-4db0-b9f2-490077a62f74\",\n \"connections\": {\n \"Embed image\": {\n \"main\": [\n [\n {\n \"node\": \"Get similarity of medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Each Crop Counts\": {\n \"main\": [\n [\n {\n \"node\": \"Info About Crop Labeled Clusters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image URL hardcode\": {\n \"main\": [\n [\n {\n \"node\": \"Variables for medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Variables for medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Total Points in Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Image URL hardcode\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get similarity of medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Compare scores\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Total Points in Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Each Crop Counts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Info About Crop Labeled Clusters\": {\n \"main\": [\n [\n {\n \"node\": \"Embed image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[3/3] Anomaly detection tool (crops dataset)", "node_count": 17, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 34\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.splitInBatches, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"cb62c9a5-2f43-4328-af94-84c2cb731d9c\",\n \"name\": \"Base Image\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n 260,\n 660\n ],\n \"parameters\": {\n \"fileId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $json.base }}\"\n },\n \"options\": {\n \"binaryPropertyName\": \"data_1\"\n },\n \"operation\": \"download\"\n },\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"yOwz41gMQclOadgu\",\n \"name\": \"Google Drive account\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"b1c304cc-9949-441a-ac2a-275c8d4c51fc\",\n \"name\": \"Google Gemini Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n 1120,\n 900\n ],\n \"parameters\": {\n \"options\": {},\n \"modelName\": \"models/gemini-1.5-pro-latest\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"dSxo6ns5wn658r8N\",\n \"name\": \"Google Gemini(PaLM) Api account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"964d94bf-be2a-424e-ab0e-c1c1fe260ebd\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1320,\n 900\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n\\t\\t\\\"type\\\": {\\n \\t\\t\\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"type of regression. One of text, number, image, color or position.\\\"\\n \\t\\t},\\n\\t\\t\\\"description\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"previous_state\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"current_state\\\": { \\\"type\\\": \\\"string\\\" }\\n\\t}\\n }\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"67195eb2-1729-42b0-8275-bdd6128b81aa\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2340,\n 20\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 405.95003875719203,\n \"height\": 180.74812634463558,\n \"content\": \"### Part A. Generate Base Images\\nBefore we can run our visual regression tests, we must generate a series of base screenshots to compare against. This part of the workflow uses an external website screenshotting service, [Apify.com](https://www.apify.com?fpr=414q6), to achieve this. This part of the workflow should only be run when we want to update our base screenshots.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"85f9b371-1710-4c9c-a0ed-210d9c0e5d64\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 162.7495769165307,\n 500\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 702.1744987652204,\n \"height\": 548.4621171664835,\n \"content\": \"## 5. Download Base and Generate new Webpage Screenshot\\n[Learn more about Apify.com](https://www.apify.com?fpr=414q6)\\n\\nLooping for each webpage, we'll do 2 tasks (1) download the base screenshot for the url and (2) and use our [Apify.com](https://www.apify.com?fpr=414q6) webpage screenshot actor again to generate a fresh screenshot.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8bff4efc-d9f9-485c-b51d-a8edc29d1105\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 900,\n 500\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 759.5372282495247,\n \"height\": 548.702446115556,\n \"content\": \"## 6. Compare Screenshots using Vision Model\\n[Read more about the basic LLM chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/)\\n\\nTo carry out our visual regression test, we need to send both screenshots simultaneously to our Vision model. This is easily achieved using n8n's built-in basic LLM chain where we can define two user messages of the binary type. For our vision model, we'll use Google's Gemini but any capable vision model will also do the job. A Structured Output Parser is used here to return the AI's response in JSON format, this is for easier formatting purposes which we'll get to in the next step.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a92d11e5-0985-4a8f-bc43-8bc0ca48e744\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 397.518987341772,\n 93.8157360237642\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 885.2402868841493,\n \"height\": 388.92815062755926,\n \"content\": \"## 7. Create Report In Linear\\n[Learn more about integrating with Linear.app](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.linear)\\n\\nFor the final step, we'll generate a simple report which will capture any changes detected in our webpages list. Let's do this by first combining our webpages with their test results and filter out any in the page where no changes were detected. Next, we'll aggregate all changes into the Linear.app node which will be formatted into a markdown snippet and used to create a new issue in Linear. If you don't use Linear, feel free to swap this out for JIRA or even Slack.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3f52c006-6c0a-456d-ab3c-ee5a16726299\",\n \"name\": \"Loop Over Items\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -1680,\n 580\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"478ee25d-3f0f-4f6c-bf34-add1dc14c3cb\",\n \"name\": \"Wait\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n -1240,\n 820\n ],\n \"webhookId\": \"f06eab66-30a7-48ad-90ee-cb3394eb2edb\",\n \"parameters\": {\n \"amount\": 2\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"64b5f755-a85e-4ae5-ad81-113c1ef9b64c\",\n \"name\": \"Download Screenshot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -1260,\n 360\n ],\n \"parameters\": {\n \"url\": \"={{ $json.screenshotUrl }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8f99ef1f-1cdc-4d80-b858-e9960a805dd4\",\n \"name\": \"Upload to Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n -1080,\n 360\n ],\n \"parameters\": {\n \"name\": \"={{ $('Merge').item.json.url.urlEncode() }}\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"options\": {\n \"simplifyOutput\": true\n },\n \"folderId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1lAFxJPWcA_sOcjr3UUKKfFfoTwd4Stkh\",\n \"cachedResultUrl\": \"https://drive.google.com/drive/folders/1lAFxJPWcA_sOcjr3UUKKfFfoTwd4Stkh\",\n \"cachedResultName\": \"base_images\"\n }\n },\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"yOwz41gMQclOadgu\",\n \"name\": \"Google Drive account\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"5e253123-89ba-42d5-b743-60bfd1ebae5b\",\n \"name\": \"Update Base Image\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -900,\n 360\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {\n \"url\": \"={{ $('Merge').item.json.url }}\",\n \"base\": \"={{ $json.id }}\"\n },\n \"schema\": [\n {\n \"id\": \"service\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"service\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"url\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"url\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"base\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"base\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"url\"\n ]\n },\n \"options\": {},\n \"operation\": \"appendOrUpdate\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit?usp=drivesdk\",\n \"cachedResultName\": \"Visual Regression List\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"fa7339b7-b7dd-4ecd-8dc2-f42f6549adb6\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -1440,\n 360\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"47845df9-a50e-429e-b81e-5eefd996d5c7\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -560,\n 380\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 1\n ],\n \"triggerAtHour\": 6\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"63492aa4-3535-4832-a9d0-0a949e46ec81\",\n \"name\": \"Get URLs with Missing Base Images\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -1980,\n 480\n ],\n \"parameters\": {\n \"options\": {},\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit?usp=drivesdk\",\n \"cachedResultName\": \"Visual Regression List\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"8907f3b9-0613-4057-8adb-fd5c4e25cf72\",\n \"name\": \"Run Webpage Screenshot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -1420,\n 820\n ],\n \"parameters\": {\n \"url\": \"https://api.apify.com/v2/acts/apify~screenshot-url/run-sync-get-dataset-items\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"delay\\\": 0,\\n \\\"format\\\": \\\"png\\\",\\n \\\"proxy\\\": {\\n \\\"useApifyProxy\\\": true\\n },\\n \\\"scrollToBottom\\\": false,\\n \\\"urls\\\": [\\n {\\n \\\"url\\\": $json.url\\n }\\n ],\\n \\\"viewportWidth\\\": 1280,\\n \\\"waitUntil\\\": \\\"domcontentloaded\\\",\\n \\\"waitUntilNetworkIdleAfterScroll\\\": false\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"cO2w8RDNOZg8DRa8\",\n \"name\": \"Apify API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3dc45b2d-4c4a-44d5-9b45-3e2144479603\",\n \"name\": \"Run Webpage Screenshot1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 273,\n 833\n ],\n \"parameters\": {\n \"url\": \"https://api.apify.com/v2/acts/apify~screenshot-url/run-sync-get-dataset-items\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"delay\\\": 0,\\n \\\"format\\\": \\\"png\\\",\\n \\\"proxy\\\": {\\n \\\"useApifyProxy\\\": true\\n },\\n \\\"scrollToBottom\\\": false,\\n \\\"urls\\\": [\\n {\\n \\\"url\\\": $json.url\\n }\\n ],\\n \\\"viewportWidth\\\": 1280,\\n \\\"waitUntil\\\": \\\"domcontentloaded\\\",\\n \\\"waitUntilNetworkIdleAfterScroll\\\": false\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"cO2w8RDNOZg8DRa8\",\n \"name\": \"Apify API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"672d64fb-7782-427e-8779-953e51118fbc\",\n \"name\": \"Has Changes\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 680,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"20b18a7e-bf98-4f39-baa9-4d965097526a\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"lengthGt\",\n \"rightType\": \"number\"\n },\n \"leftValue\": \"={{ $json.output }}\",\n \"rightValue\": 0\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"efa168ec-ff05-471b-869f-cee5a222594a\",\n \"name\": \"Combine Row and Result\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 500,\n 300\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={{\\n{\\n ...$('Get Webpages List').item.json,\\n output: $json.output\\n}\\n}}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"1fe901dc-f460-41b8-8042-0fcb0474092f\",\n \"name\": \"Wait1\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 1580,\n 900\n ],\n \"webhookId\": \"6bbf2e65-bed1-4efc-bb31-09d12c644dc5\",\n \"parameters\": {\n \"amount\": 1\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"7891f052-4073-4746-a04b-27c7c4fa1e63\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 860,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ef2b2ddb-51f9-4576-bd99-9efa39be5163\",\n \"name\": \"Create Report\",\n \"type\": \"n8n-nodes-base.linear\",\n \"position\": [\n 1040,\n 300\n ],\n \"parameters\": {\n \"title\": \"=Visual Regression Report {{ $now.format('yyyy-MM-dd') }}\",\n \"teamId\": \"1c721608-321d-4132-ac32-6e92d04bb487\",\n \"additionalFields\": {\n \"description\": \"=Visual Regression Workflow picked up the following changes:\\n\\n{{\\n$json.data.map(row =>\\n`### ${row.url}\\n${row.output.map(issue =>\\n`* **${issue.description}** - expected \\\"${issue.previous_state}\\\" but got \\\"${issue.current_state}\\\"`\\n).join('\\\\n')}`\\n).join('\\\\n');\\n}}\"\n }\n },\n \"credentials\": {\n \"linearApi\": {\n \"id\": \"Nn0F7T9FtvRUtEbe\",\n \"name\": \"Linear account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"477b89f7-00ca-4001-a246-0887bcb553eb\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -2180,\n 480\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"eb7f6310-5465-4638-b702-5ecbd98a0199\",\n \"name\": \"Get Webpages List\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -360,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupValue\": \"2\",\n \"lookupColumn\": \"=row_number\"\n }\n ]\n },\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit?usp=drivesdk\",\n \"cachedResultName\": \"Visual Regression List\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"6c0f7341-14c9-48c2-9447-edab0ad18df7\",\n \"name\": \"For Each Webpage...\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -40,\n 440\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"62e13166-458d-4c63-8911-740f9ceaeb54\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -660,\n 160\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 561.2038065501644,\n \"height\": 408.0284015307624,\n \"content\": \"## 4. Trigger Visual Regression Test Run\\n[Read more about the Schedule Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/)\\n\\nOnce we've generated our base images to compare with in Part A, we can now run our Visual Regression Tests. These tests are intended to check for unexpected changes to a webpage by using some form of image detection. To trigger Part B, we'll start with a schedule trigger and pull a list of webpages to test from Google Sheets.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8d958f44-fd2c-49b4-adbd-d8a99b2614c8\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2340,\n 218.0216140230686\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 626.9985071319608,\n \"height\": 487.40071048786325,\n \"content\": \"## 1. Get List of Webpages to Generate Base Images\\n[Learn more about using Google Sheets](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/)\\n\\nThis workflow is split into 2 parts: Part A will generate the \\\"base\\\" screenshots to compare new screenshots against. To capture these base screenshots, we'll use Google Sheets to hold our list of webpages and their screenshot references (we'll come on to that later).\\n\\nExample Sheet: https://docs.google.com/spreadsheets/d/e/2PACX-1vTXRZRi55dUbLAsWZboJqH5U-EK0ZRSse8pkqANAV4Ss70otpQ97zgT8YBd3dL4d2u2UC1TTx_o1o1R/pubhtml\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ee776b4d-4532-4c08-ac38-35d40afbd8ad\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1480,\n 580\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 653.369086691465,\n \"height\": 443.1120543367141,\n \"content\": \"## 2. Generate Webpage Screenshot via Apify\\n[Learn more about Apify.com](https://www.apify.com?fpr=414q6)\\n\\nTo generate a screenshot of the webpage, we'll need a third party service since this functionality is outside the scope of n8n. Feel free to pick whichever internal or external service works for you but I've had great experience using [Apify.com](https://www.apify.com?fpr=414q6) - a popular webscraping SaaS who offer a generous free plan and require very little configuration to get started.\\n\\nThe Apify \\\"actor\\\" (ie. a type of scraper) we'll be using is specifically designed to take webpage screenshots.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3d90e103-2829-4075-b3d4-5ba848af4843\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1520,\n 160\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 808.188722669735,\n \"height\": 397.73072497123115,\n \"content\": \"## 3. Upload Screenshot to Google Drive\\n[Read more about using the Google Drive node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive/)\\n\\nOnce we have our screenshots, we'll download them from Apify and upload them to our Google Drive for safe keeping. After uploading, we'll capture the new Google Drive IDs for the images into our Google Sheet, this will allow us to reference them again when we perform the visual regression testing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e47d14ec-ad78-42c8-a294-301dcd581a67\",\n \"name\": \"Download New Screenshot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 453,\n 833\n ],\n \"parameters\": {\n \"url\": \"={{ $json.screenshotUrl }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"responseFormat\": \"file\",\n \"outputPropertyName\": \"data_2\"\n }\n }\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8ca118bc-3d19-48ac-9d9c-0892993da736\",\n \"name\": \"Combine Screenshots\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 660,\n 660\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"03359cbb-d7af-4118-a32a-3fe24062dc9f\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -660,\n 20\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 394.03359370567625,\n \"height\": 111.52173490405977,\n \"content\": \"### Part B. Run Visual Regression Test\\nIn this part of the workflow, we'll retrieve our list of webpages to test with our AI vision model. This part can be run as many times as required.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a78c0f92-aa61-483b-95bf-dd60958f182d\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2920,\n 220\n ],\n \"parameters\": {\n \"width\": 553.2963720930223,\n \"height\": 473.4987906976746,\n \"content\": \"## Try It Out!\\n\\n### This workflow implements an approach to Visual Regression Testing - a means to test websites for defects - using AI Vision Models.\\n\\nThis workflow uses a Google Sheet to track a list of webpages to test and is split into 2 parts; Part A generates the base screenshots of the list and Part B runs the visual regression testing.\\n\\nThe example spreadsheet can be found here: https://docs.google.com/spreadsheets/d/e/2PACX-1vTXRZRi55dUbLAsWZboJqH5U-EK0ZRSse8pkqANAV4Ss70otpQ97zgT8YBd3dL4d2u2UC1TTx_o1o1R/pubhtml\\n\\n**[Apify.com](https://www.apify.com?fpr=414q6)** is the screenshot generator of choice and a free account with $5 in credit is available via this [link](https://www.apify.com?fpr=414q6).\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a0b257e5-99f8-409a-bc67-2468db377d6c\",\n \"name\": \"Visual Regression Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 1120,\n 740\n ],\n \"parameters\": {\n \"text\": \"Identify changes between the base image and test image.\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=You help with visual regression testing for websites. Identify changes to text content, images, colors, position and layouts of the elements in the screenshots. Ignore text styling or casing changes.\\nThe first image will be the base image and the second image will be the test. Note all changes to the test image which differ from the base. If there are no changes, it is okay to return an empty array.\"\n },\n {\n \"type\": \"HumanMessagePromptTemplate\",\n \"messageType\": \"imageBinary\",\n \"binaryImageDataKey\": \"data_1\"\n },\n {\n \"type\": \"HumanMessagePromptTemplate\",\n \"messageType\": \"imageBinary\",\n \"binaryImageDataKey\": \"data_2\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.4\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Download Screenshot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Webpage...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Create Report\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Base Image\": {\n \"main\": [\n [\n {\n \"node\": \"Combine Screenshots\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Has Changes\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ],\n [\n {\n \"node\": \"Run Webpage Screenshot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload to Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Update Base Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Webpages List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Webpages List\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Webpage...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine Screenshots\": {\n \"main\": [\n [\n {\n \"node\": \"Visual Regression Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Download Screenshot\": {\n \"main\": [\n [\n {\n \"node\": \"Upload to Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"For Each Webpage...\": {\n \"main\": [\n [\n {\n \"node\": \"Combine Row and Result\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Base Image\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Run Webpage Screenshot1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine Row and Result\": {\n \"main\": [\n [\n {\n \"node\": \"Has Changes\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Run Webpage Screenshot\": {\n \"main\": [\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Download New Screenshot\": {\n \"main\": [\n [\n {\n \"node\": \"Combine Screenshots\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Run Webpage Screenshot1\": {\n \"main\": [\n [\n {\n \"node\": \"Download New Screenshot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Visual Regression Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Gemini Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Visual Regression Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Visual Regression Agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get URLs with Missing Base Images\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get URLs with Missing Base Images\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Visual Regression Testing with Apify and AI Vision Model", "node_count": 34, "category": "General Automation"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi to ai agent for project management and meetings with airtable and fireflies", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 18\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.gmailTool, n8n-nodes-base.googleCalendarTool, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"38972c5c-09f4-4120-a468-731e720914e1\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 900,\n -240\n ],\n \"parameters\": {\n \"text\": \"=Title: {{ $json.data.transcript.title }}\\n\\nParticipants: {{ $json.data.transcript.participants }}\\n\\nTranscript: {{ JSON.stringify($json.data.transcript.sentences) }}\\n\\nBullet gist:{{ $json.data.transcript.summary.bullet_gist }}\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"systemMessage\": \"=You get my calls' transcripts from Firefiles.\\nThere can be meetings about projects. You can understand if it's about a project if meeting's title contains \\\"project\\\". If so - you need to:\\n1. Analyze transcript, use tool \\\"Create Tasks\\\" to create tasks for me in my AirTable base.\\n2. You need to use tool \\\"Notify Client About Tasks\\\" to nofity client about his tasks.\\n3. If transcript contains info there's a call needed - you'll use \\\"Create Event\\\" tool to create call on Google Meet\\nCurrent date: {{ $now }}\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"db5c1bfa-b979-4749-84c8-8cd7d777748c\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 880,\n 40\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"9RivS2BmSh1DDBFm\",\n \"name\": \"OpenAi account 3\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"334873ba-ec5c-42b3-b8d0-def79d07c0aa\",\n \"name\": \"Create Tasks\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1040,\n 40\n ],\n \"parameters\": {\n \"name\": \"create_task\",\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"Jo0BiizccacaChkH\",\n \"cachedResultName\": \"Firefiles AI Agent\"\n },\n \"description\": \"=Use this tool to create a task. \\nFor task creation use only action items for me [YOUR NAME HERE], don't use action items for other participants.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"items\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"description\\\": \\\"An array of tasks\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"name\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The name of the task\\\"\\n },\\n \\\"description\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"A detailed description of the task\\\"\\n },\\n \\\"due_date\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Due Date\\\"\\n },\\n \\\"priority\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Priority. . Please capitalize first letter\\\"\\n },\\n \\\"project_name\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Name of the project. Word 'Project' shouldn't be included\\\"\\n }\\n },\\n \\\"required\\\": [\\n \\\"name\\\",\\n \\\"description\\\",\\n \\\"due_date\\\",\\n \\\"priority\\\"\\n ],\\n \\\"additionalProperties\\\": false\\n }\\n }\\n },\\n \\\"required\\\": [\\n \\\"items\\\"\\n ],\\n \\\"additionalProperties\\\": false\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"7fd03a80-71e9-4c47-9870-7a3ad4916149\",\n \"name\": \"Notify Client About Tasks\",\n \"type\": \"n8n-nodes-base.gmailTool\",\n \"position\": [\n 1180,\n 40\n ],\n \"webhookId\": \"519d9406-10ef-4ae1-a747-d278002cac9e\",\n \"parameters\": {\n \"sendTo\": \"={{ $fromAI(\\\"participant_email\\\",\\\"participant email \\\",\\\"string\\\") }}\",\n \"message\": \"=Summary:\\n{{ $json.data.transcript.summary.bullet_gist }}\\n\\nAction Items:\\n{{ $fromAI(\\\"participant_action_items\\\",\\\"participant action items \\\",\\\"string\\\") }}\",\n \"options\": {\n \"appendAttribution\": false\n },\n \"subject\": \"Meeting Summary\",\n \"emailType\": \"text\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"=Use the tool to notify a participant of the meeting with meeting summary and his tasks.\\nIMPORTANT: \\n1. Please notify participants except for me. My email: [YOUR EMAIL HERE]\\n2. When working with tasks - please send only the participant's tasks.\"\n },\n \"credentials\": {\n \"gmailOAuth2\": {\n \"id\": \"LhdnHxP8WcSDEHw3\",\n \"name\": \"Gmail account 3\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"094a0e52-a4fa-4078-9b96-80568acb9c51\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 460,\n 420\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e59e5a29-4509-45cc-9130-181ea432553c\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 680,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"query.items\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"dc664650-f74e-4574-95a0-dd4a9bf181a1\",\n \"name\": \"Create Task\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 900,\n 420\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appndgSF4faN4jPXi\",\n \"cachedResultUrl\": \"https://airtable.com/appndgSF4faN4jPXi\",\n \"cachedResultName\": \"Philipp's Base\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblaCSndQsSF3gq7Z\",\n \"cachedResultUrl\": \"https://airtable.com/appndgSF4faN4jPXi/tblaCSndQsSF3gq7Z\",\n \"cachedResultName\": \"Tasks\"\n },\n \"columns\": {\n \"value\": {\n \"Name\": \"={{ $json.name }}\",\n \"Project\": \"={{ [$json.project_name] }}\",\n \"Due Date\": \"={{ $json.due_date }}\",\n \"Priority\": \"={{ $json.priority }}\",\n \"Description\": \"={{ $json.description }}\"\n },\n \"schema\": [\n {\n \"id\": \"Name\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Name\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Description\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Description\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Priority\",\n \"type\": \"options\",\n \"display\": true,\n \"options\": [\n {\n \"name\": \"Low\",\n \"value\": \"Low\"\n },\n {\n \"name\": \"Medium\",\n \"value\": \"Medium\"\n },\n {\n \"name\": \"Urgent\",\n \"value\": \"Urgent\"\n },\n {\n \"name\": \"low\",\n \"value\": \"low\"\n },\n {\n \"name\": \"medium\",\n \"value\": \"medium\"\n },\n {\n \"name\": \"urgent\",\n \"value\": \"urgent\"\n }\n ],\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Priority\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Due Date\",\n \"type\": \"dateTime\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Due Date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Project\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Project\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {\n \"typecast\": true\n },\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"XT7hvl1w201jtBhx\",\n \"name\": \"Philipp Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"6d6f9094-b0b3-495e-ade8-d80c03e727b0\",\n \"name\": \"Create Event\",\n \"type\": \"n8n-nodes-base.googleCalendarTool\",\n \"position\": [\n 1340,\n 40\n ],\n \"parameters\": {\n \"end\": \"={{ $fromAI(\\\"end_date_time\\\",\\\"Date and time of meeting end\\\",\\\"string\\\") }}\",\n \"start\": \"={{ $fromAI(\\\"start_date_time\\\",\\\"Date and time of meeting start\\\",\\\"string\\\") }}\",\n \"calendar\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"philipp@lowcoding.dev\",\n \"cachedResultName\": \"philipp@lowcoding.dev\"\n },\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"=Use tool to create Google Calendar Event. Use this tool only when transcript contains information that call should be scheduled.\",\n \"additionalFields\": {\n \"summary\": \"={{ $fromAI(\\\"meeting_name\\\",\\\"Meeting name\\\",\\\"string\\\") }}\",\n \"attendees\": [\n \"={{ $fromAI(\\\"email\\\",\\\"client email\\\",\\\"string\\\") }}\"\n ],\n \"conferenceDataUi\": {\n \"conferenceDataValues\": {\n \"conferenceSolution\": \"hangoutsMeet\"\n }\n }\n }\n },\n \"credentials\": {\n \"googleCalendarOAuth2Api\": {\n \"id\": \"E5Ufn31vrZLKzh4n\",\n \"name\": \"Google Calendar account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"2406fc01-fd28-403c-9378-473e8748e0dd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 480,\n -240\n ],\n \"webhookId\": \"df852a9f-5ea3-43f2-bd49-d045aba5e9c9\",\n \"parameters\": {\n \"path\": \"df852a9f-5ea3-43f2-bd49-d045aba5e9c9\",\n \"options\": {},\n \"httpMethod\": \"POST\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"fe28fa98-4946-4379-970e-6df1a79e2a1e\",\n \"name\": \"Get Meeting Content\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 700,\n -240\n ],\n \"parameters\": {\n \"url\": \"https://api.fireflies.ai/graphql\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"query\\\": \\\"query Transcript($transcriptId: String!) { transcript(id: $transcriptId) { title participants speakers { id name } sentences { speaker_name text } summary { bullet_gist } } }\\\",\\n \\\"variables\\\": {\\n \\\"transcriptId\\\": \\\"{{ $json.meetingId }}\\\"\\n }\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer [YOUR API KEY HERE]\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5eadd00a-9095-4bf3-80ed-e7bc5c49390d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n -360\n ],\n \"parameters\": {\n \"color\": 4,\n \"height\": 80,\n \"content\": \"### Replace API key for Fireflies\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"93cee18c-2215-4a63-af7b-ddf45729f5e4\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1180,\n 200\n ],\n \"parameters\": {\n \"color\": 4,\n \"height\": 80,\n \"content\": \"### Replace connections for Airtable and Google\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d792723-4507-486f-9dc7-62bf1b927edd\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n 340\n ],\n \"parameters\": {\n \"width\": 820,\n \"height\": 280,\n \"content\": \"### Scenario 2 - Create Tasks tool\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c5520210-86db-4639-9f8c-ac9055407232\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n -460\n ],\n \"parameters\": {\n \"width\": 1100,\n \"height\": 760,\n \"content\": \"### Scenario 1 - AI agent\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"48d47e44-b7bf-49b3-814b-6969ce97108d\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 800,\n 180\n ],\n \"parameters\": {\n \"color\": 4,\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afe4bffa-8937-4c31-8513-0acc6b8858ce\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -360,\n 60\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 280,\n \"height\": 566,\n \"content\": \"### Set up steps\\n\\n#### Preparation\\n1. **Create Accounts**:\\n - [N8N](https://n8n.partnerlinks.io/2hr10zpkki6a): For workflow automation.\\n - [Airtable](https://airtable.com/): For database hosting and management.\\n - [Fireflies](https://fireflies.ai/): For recording meetings.\\n\\n#### N8N Workflow\\n\\n1. **Configure the Webhook**: \\n - Set up a webhook to capture meeting completion events and integrate it with Fireflies.\\n\\n2. **Retrieve Meeting Content**: \\n - Use GraphQL API requests to extract meeting details and transcripts, ensuring appropriate authentication through Bearer tokens.\\n\\n3. **AI Processing Setup**: \\n - Define system messages for AI tasks and configure connections to the AI chat model (e.g., OpenAI's GPT) to process transcripts.\\n\\n4. **Task Creation Logic**: \\n - Create structured tasks based on AI output, ensuring necessary details are captured and records are created in Airtable.\\n\\n5. **Client Notifications**: \\n - Use an email node to notify clients about their tasks, ensuring communications are client-specific.\\n\\n6. **Scheduling Follow-Up Calls**: \\n - Set up Google Calendar events if follow-up meetings are required, populating details from the original meeting context.\\n\\n7. **Final Testing**: \\n - Conduct tests to ensure each part of the workflow is functional and seamless, making adjustments as needed based on feedback.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cbb81fa7-4a97-4a7e-82ce-05250b2c82cf\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -360,\n -460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 636.2128494576581,\n \"height\": 497.1532689930921,\n \"content\": \"\\n## AI Agent for project management and meetings with Airtable and Fireflies\\n**Made by [Philipp Bekher](https://www.linkedin.com/in/philipp-bekher-5437171a4/) from community [5minAI](https://www.skool.com/5minai-2861)**\\n\\nManaging action items from meetings can often lead to missed tasks and poor follow-up. This automation alleviates that issue by automatically generating tasks from meeting transcripts, keeping everyone informed about their responsibilities and streamlining communication.\\n\\nThe workflow leverages n8n to create a Smart Agent that listens for completed meeting transcripts, processes them using AI, and generates tasks in Airtable. Key functionalities include:\\n- Capturing completed meeting events through webhooks.\\n- Extracting relevant meeting details such as transcripts and participants using API calls.\\n- Generating structured tasks from meeting discussions and sending notifications to clients.\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6d367721-875d-4d43-bd55-9801796a0e9f\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -60,\n 60\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 330.5152611046425,\n \"height\": 239.5888196628349,\n \"content\": \"### ... or watch set up video [10 min]\\n[](https://www.youtube.com/watch?v=0TyX7G00x3A)\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Get Meeting Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"AI Agent\": {\n \"main\": [\n []\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Create Task\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Event\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Tasks\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Meeting Content\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Notify Client About Tasks\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "AI Agent for project management and meetings with Airtable and Fireflies", "node_count": 18, "category": "General Automation"}}
{"prompt": "How would you build: Ai Agent To Chat With Airtable And Analyze Data?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 41\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.toolCode, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"799d2e0c-29b9-494c-b11a-d79c7ed4a06d\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 920,\n 480\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6254ef4e-9699-404e-96a4-569326cce48d\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1160,\n 200\n ],\n \"parameters\": {\n \"text\": \"={{ $('When chat message received').item.json.chatInput }}\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"maxIterations\": 10,\n \"systemMessage\": \"You are Airtable assistant. \\nYou need to process user's requests and run relevant tools for that. \\n\\nPlan and execute in right order runs of tools to get data for user's request.\\n\\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. \\n\\nIMPORTANT Always check right table and base ids before doing queries.\\n\\nIMPORTANT Use Code function to do aggregation functions that requires math like - count, sum, average and etc. Aggegation function could be recognized by words like \\\"how many\\\",\\\"count\\\",\\\"what number\\\" and etc.\\nUse Code function to generate graph and images.\\n\\nIMPORTANT If search with filter failed - try to fetch records without filter\\n\\nIMPORTANT Ask yourself before answering - am I did everything is possible? Is the answer is right? Is the answer related to user request?\\n\\nIMPORTANT Always return in response name of Base and Table where records from. \"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"227a5427-c270-47dc-bc08-4bb321314926\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n 620\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"### Replace Mapbox public key - in code\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"667751f4-9815-45b7-8dd2-9a0821a7a5a7\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 840,\n 640\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a9cdec25-4167-44a9-9d3c-fb04aac7bb32\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1080,\n 480\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('When chat message received').item.json.sessionId }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"dfab4eb2-ba30-4756-8a52-5d73de9fba53\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 940,\n 200\n ],\n \"webhookId\": \"abf9ab75-eaca-4b91-b3ba-c0f83d3daba4\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"259e3d13-ca92-4756-af69-34065dbe08f3\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 760,\n 1340\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"5b80c2c8-7649-40f2-b9be-d090d8bd5ae9\",\n \"name\": \"Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2740,\n 1360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"cfdbe2f5-921e-496d-87bd-9c57fdc22a7a\",\n \"name\": \"response\",\n \"type\": \"object\",\n \"value\": \"={{$json}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"761f5593-f85c-44cd-abbd-aeac78bc31f8\",\n \"name\": \"Switch\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 980,\n 1320\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"get_bases\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"get_bases\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"get_base_tables_schema\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"26a3ffe8-c8a6-4564-8d18-5494a8059372\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"get_base_tables_schema\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"search\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0f51cc26-2e42-42e1-a5c2-cb1d2e384962\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"search\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"code\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"51031140-5ceb-48aa-9f33-d314131a9653\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"code\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3.2\n },\n {\n \"id\": \"d6252c5b-a820-4ded-b59b-ab2fb2e277c3\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 1780,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1442ca2e-1793-4029-b398-61d6e6f1c346\",\n \"name\": \"Aggregate1\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 1780,\n 1140\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a81b4dcc-c999-43be-a0ea-e37f3c7c9f9d\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1960,\n 1360\n ],\n \"parameters\": {},\n \"typeVersion\": 3\n },\n {\n \"id\": \"8029213c-fd8a-4673-a2a0-11b90fd23971\",\n \"name\": \"Aggregate2\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 2260,\n 1360\n ],\n \"parameters\": {\n \"options\": {\n \"mergeLists\": true\n },\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"records\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f5f99038-9d19-49ed-9f50-3cd0270bf9ce\",\n \"name\": \"If1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2120,\n 1720\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"fcb24127-53f9-4498-b0fd-463bd4966ac9\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notExists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.data[0].attachments[0].file_id }}\",\n \"rightValue\": \"\"\n },\n {\n \"id\": \"016ecba7-f6af-4881-a7d6-780dcb43223c\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notExists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.data[0].content.find(x=>x.type==\\\"image_file\\\").image_file.file_id }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"abc7ddae-9ca9-4cf6-89a4-a63da8c1e036\",\n \"name\": \"Response1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2760,\n 1720\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"cfdbe2f5-921e-496d-87bd-9c57fdc22a7a\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data.url.replace('org/','org/dl/') }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6f40d50f-70e8-4b64-aa42-ae9262fb8381\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2080,\n 1520\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 80,\n \"content\": \"### Replace Airtable connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"de99a161-5ab3-4b54-bdf7-340d74aa5a93\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n 1600\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c1e030fd-4449-43ca-a4e7-a863f9487614\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1540,\n 860\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 80,\n \"content\": \"### Replace Airtable connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4375d3a4-0b3b-4de6-9db7-42af4148af2b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1360,\n 1900\n ],\n \"parameters\": {\n \"width\": 1180,\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"138f813c-d0b0-4a2b-8833-69f1decc9253\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n 0\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 1320,\n \"height\": 780,\n \"content\": \"### Workflow 1\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca87c7b7-ab34-4ff9-8d74-cef90e6f1e5e\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n 840\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 2240,\n \"height\": 1180,\n \"content\": \"### Workflow 2\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a5cdf41a-f2ca-4203-94ce-45795395ea92\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 300,\n 680\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 330.5152611046425,\n \"height\": 239.5888196628349,\n \"content\": \"### ... or watch set up video [20 min]\\n[](https://youtu.be/SotqsAZEhdc)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"697889c4-15e7-4099-89b8-f4e2e3a3abac\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 0\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 636,\n \"height\": 657,\n \"content\": \"\\n## AI Agent to chat with Airtable and analyze data\\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\\n\\nEngaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversationally with their datasets, retrieving essential information quickly while minimizing the need for complex queries.\\n\\nThis workflow enables an AI agent to facilitate chat interactions over Airtable data. The agent can:\\n- Retrieve order records, product details, and other relevant data.\\n- Execute mathematical functions to analyze data such as calculating averages and totals.\\n- Optionally generate maps for geographic data visualization.\\n\\n1. **Dynamic Data Retrieval**: The agent uses user prompts to dynamically query the dataset.\\n2. **Memory Management**: It retains context during conversations, allowing users to engage in a more natural dialogue.\\n3. **Search and Filter Capabilities**: Users can perform tailored searches with specific parameters or filters to refine their results.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a9f7c4fd-c07a-4c7c-875d-74b27e3f1fbf\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 680\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 280,\n \"height\": 346,\n \"content\": \"### Set up steps\\n\\n1. **Separate workflows**:\\n\\t- Create additional workflow and move there Workflow 2.\\n\\n2. **Replace credentials**:\\n\\t- Replace connections and credentials in all nodes.\\n\\n3. **Start chat**:\\n\\t- Ask questions and don't forget to mention required base name.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0c86638f-7220-415d-a920-13761da925a6\",\n \"name\": \"Search records\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1500,\n 480\n ],\n \"parameters\": {\n \"name\": \"search\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"search\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Search records in specific base and table.\\n\\n- Use Filter (optional) rules for filtering - describe what logic you want to see in filter including field names. \\nIMPORTANT - specify all related fields with types for Filter query with right names based on schema. Tool doesn't know schema and type of fields.\\n\\n- Use Limit (optional) to get more/less records - default = All records. IMPORTANT use default value only when user ask to get all records for analysis.\\n\\n- Always try to limit list of fields based on user request or in case of number of fields > 30. IMPORTANT Use fields names only.\\n \\n- Sort by one/multiple fields if needed - order in array is order of level for sorting.\\n\\nInput example:\\nbase_id - appHwXgLVrBujox4J\\ntable_id - tblrGzFneREP5Dktl\\nlimit - 100\\nsort (optional) - [{\\\"field\\\":\\\"Name\\\",\\\"direction\\\":\\\"asc\\\"}]\\nfilter_desc (optional) - field Name (string) should be equal/contains Mark\\nfields (optional) - [\\\"Name\\\",\\\"Email\\\"]\\n\\nOutput example:\\nRecord 1 - value 1, value 2\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"base_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"ID of the base to search in\\\"\\n },\\n \\\"table_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"ID of the table to search in\\\"\\n },\\n \\\"limit\\\": {\\n \\\"type\\\": \\\"number\\\",\\n \\\"description\\\": \\\"Number of records to retrieve (default is all records)\\\"\\n },\\n \\\"filter_desc\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Text description of the filter logic\\\"\\n },\\n \\\"sort\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"field\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"direction\\\": { \\\"type\\\": \\\"string\\\", \\\"enum\\\": [\\\"asc\\\", \\\"desc\\\"] }\\n },\\n \\\"required\\\": [\\\"field\\\", \\\"direction\\\"]\\n },\\n \\\"description\\\": \\\"Array of sorting rules for the query\\\"\\n },\\n \\\"fields\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"description\\\": \\\"List of fields to retrieve\\\"\\n }\\n },\\n \\\"required\\\": [\\\"base_id\\\", \\\"table_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"7ba1d6ac-f1a2-4b8d-a9a5-ce92eaa4e7fa\",\n \"name\": \"Process data with code\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1640,\n 480\n ],\n \"parameters\": {\n \"name\": \"code\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"code\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Process data with code. Use for math functions and image (graphs) generation. \\nIMPORTANT Provide raw data only, don't preprocess or use math functions by yourself\\n\\nInput example:\\nrequest - Count average\\ndata - 1,2,3\\n\\nOutput example:\\nAverage is 2\\nImage file\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"request\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Description of the operation to perform.\\\"\\n },\\n \\\"data\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Stringified data - JSON, strings, arrays and etc.\\\"\\n }\\n },\\n \\\"required\\\": [\\\"request\\\", \\\"data\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"3754175c-6f74-4750-b2e7-00e2bd3caf6d\",\n \"name\": \"Create map image\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCode\",\n \"position\": [\n 1800,\n 480\n ],\n \"parameters\": {\n \"name\": \"create_map\",\n \"jsCode\": \"// Example: convert the incoming query to uppercase and return it\\n\\nreturn `https://api.mapbox.com/styles/v1/mapbox/streets-v12/static/${query.markers}/-96.9749,41.8219,3.31,0/800x500?before_layer=admin-0-boundary&access_token=`;\",\n \"schemaType\": \"manual\",\n \"description\": \"Create link with image for map graph.\\nUse addresses' longitude and latitude to create input data.\\n\\nInput Example:\\npin-s+555555(-74.006,40.7128),pin-s+555555(-118.2437,34.0522)\\n\\nOutput Example:\\nImage link.\",\n \"inputSchema\": \"{\\n\\\"type\\\": \\\"object\\\",\\n\\\"properties\\\": {\\n\\t\\\"markers\\\": {\\n\\t\\t\\\"type\\\": \\\"string\\\",\\n\\t\\t\\\"description\\\": \\\"List of markers with longitude and latitude data separated by comma. Keep the same color 555555|Example: pin-s+555555(-74.006,40.7128),pin-s+555555(-118.2437,34.0522)\\\"\\n\\t\\t}\\n\\t}\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"135078ea-6a3f-4aee-9f60-c6d5832e446e\",\n \"name\": \"Get list of bases\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1220,\n 480\n ],\n \"parameters\": {\n \"name\": \"get_bases\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"get_bases\"\n }\n ]\n },\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Fetches the list of available bases.\\n\\nOutput:\\n- List of bases with their IDs and names.\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"cd4781d0-f873-4aea-951c-6809358c1db6\",\n \"name\": \"Get base schema\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1360,\n 480\n ],\n \"parameters\": {\n \"name\": \"get_base_tables_schema\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"get_base_tables_schema\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Fetches the schema of tables in a specific base by id.\\n\\nInput:\\nbase_id: appHwXgLVrBujox4J\\n\\nOutput:\\ntable 1: field 1 - type string, fields 2 - type number\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"base_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"ID of the base to retrieve the schema for. Format - appHwXgLVrBujox4J\\\"\\n }\\n },\\n \\\"required\\\": [\\\"base_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"45c8b2eb-f43a-48b1-a270-9caeda9da0b0\",\n \"name\": \"Get Bases\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1580,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"resource\": \"base\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"xZwG0YpqsxpWrzVM\",\n \"name\": \"Mark Airtable account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"bb8036bc-1c23-461b-bd03-2461e31c6cb6\",\n \"name\": \"Get Base/Tables schema\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1580,\n 1140\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.base_id }}\"\n },\n \"resource\": \"base\",\n \"operation\": \"getSchema\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"xZwG0YpqsxpWrzVM\",\n \"name\": \"Mark Airtable account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"dab309d9-3629-44ba-9f0a-ede55f96488f\",\n \"name\": \"If filter description exists\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1340,\n 1360\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"fcb24127-53f9-4498-b0fd-463bd4966ac9\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notExists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.query.filter_desc }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"4cc416aa-50bd-4b60-ae51-887c4ee97c88\",\n \"name\": \"Airtable - Search records\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 2100,\n 1360\n ],\n \"parameters\": {\n \"url\": \"=https://api.airtable.com/v0/{{ $('Execute Workflow Trigger').item.json.query.base_id }}/{{ $('Execute Workflow Trigger').item.json.query.table_id }}/listRecords\",\n \"method\": \"POST\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"offset\",\n \"type\": \"body\",\n \"value\": \"={{ $response.body.offset}}\"\n }\n ]\n },\n \"completeExpression\": \"={{ $response.body.offset==undefined}}\",\n \"paginationCompleteWhen\": \"other\"\n }\n }\n },\n \"jsonBody\": \"={{ \\n Object.fromEntries(\\n Object.entries({\\n sort: $('Execute Workflow Trigger').item.json.query.sort,\\n limit: $('Execute Workflow Trigger').item.json.query.limit,\\nfields: $('Execute Workflow Trigger').item.json.query.fields,\\nfilterByFormula: $('Merge').item.json.choices == undefined ? undefined : JSON.parse($json.choices[0].message.content).filter\\n }).filter(([key, value]) => value !== undefined)\\n )\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"airtableTokenApi\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n },\n \"airtableTokenApi\": {\n \"id\": \"xZwG0YpqsxpWrzVM\",\n \"name\": \"Mark Airtable account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9dc71d31-8499-4b69-b87c-898217447d50\",\n \"name\": \"OpenAI - Generate search filter\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 1420\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"gpt-4o-mini\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"system\\\",\\n \\\"content\\\": {{ JSON.stringify($('Set schema and prompt').item.json.prompt) }}\\n },\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"{{ $('Execute Workflow Trigger').item.json.query.filter_desc }}\\\"\\n }],\\n \\\"response_format\\\":{ \\\"type\\\": \\\"json_schema\\\", \\\"json_schema\\\": {{ $('Set schema and prompt').item.json.schema }}\\n\\n }\\n }\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"16e4ea97-ea73-45a0-aa88-0f9a2969a6a3\",\n \"name\": \"Set schema and prompt\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1560,\n 1420\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dc09a5b4-ff6a-4cee-b87e-35de7336ac05\",\n \"name\": \"prompt\",\n \"type\": \"string\",\n \"value\": \"=Analyse user request for Airtable filtration. User filter rules to build right formula. Think smart about filter (e.g. instead of search where Name equal to value - search where name contains lowercase value)\\nIMPORTANT Check examples and best practices before building formula. \\n\\nIMPORTANT best practices:\\n\\nSEARCH(LOWER('example'), LOWER({Field})) ensures both the search term and field are compared in lowercase for consistent case-insensitive matching\\n\\nIMPORTANT Examples:\\n\\n- AND(SEARCH('urgent', {Notes}), {Priority} > 3) fetch records where “Notes” contain “urgent” and “Priority” is greater than 3\\n- AND({Status} = 'Pending', IS_BEFORE({Due Date}, TODAY())) fetch records where “Status” is “Pending” and “Due Date” is before today\\n- OR(SEARCH('error', {Logs}), SEARCH('warning', {Logs})) fetch records where “Logs” contain “error” or “warning”\\n- AND(LEN({Description}) > 10, {Price} > 50) fetch records where “Description” is longer than 10 characters and “Price” is greater than 50\\n- RECORD_ID() = 'rec12345' fetch a specific record by its ID\\n- SEARCH('rec67890', ARRAYJOIN({Linked Records}, ',')) fetch records linked to a specific record ID rec67890\\n- AND(SEARCH('rec12345', ARRAYJOIN({Linked Records}, ',')), {Status} = 'Active') fetch records where “Linked Records” contain rec12345 and “Status” is “Active”\\n\\nFormula rules:\\nOperators - =,!=,>,<,>=,<= \\n- AND(condition1, condition2, ...) logical AND\\n- OR(condition1, condition2, ...) logical OR\\n- NOT(condition) logical NOT\\n- SEARCH('substring', {Field}) finds position of substring, case-insensitive\\n- FIND('substring', {Field}) finds position of substring, case-sensitive\\n- IS_BEFORE({Date}, 'YYYY-MM-DD') checks if date is before\\n- IS_AFTER({Date}, 'YYYY-MM-DD') checks if date is after\\n- IS_SAME({Date1}, {Date2}, 'unit') checks if dates are the same by unit\\n- RECORD_ID() = 'recXXXXXX' filters by record ID\\n- {Field} = '' field is blank\\n- {Field} != '' field is not blank\\n- ARRAYJOIN({Linked Field}, ',') joins linked records into a string\\n- LOWER({Field}) converts to lowercase for case-insensitive comparison\\n- UPPER({Field}) converts to uppercase for case-insensitive comparison\\n- VALUE({Text}) converts text to number for numeric comparisons\\n- LEN({Field}) gets text length\\n- ROUND(number, precision) rounds number\\n- TODAY() current date\\n- NOW() current timestamp\\n- IF(condition, true_value, false_value) conditional logic\\n- DATETIME_FORMAT({Date}, 'format') formats date as text\\n- DATETIME_DIFF(date1, date2, 'unit') difference between dates\\n- DATEADD({Date}, number, 'unit') adds time to date\\n- LEFT({Text}, number) extracts leftmost characters\\n- RIGHT({Text}, number) extracts rightmost characters\\n- AND({Field1} = 'Value1', {Field2} > 50) multiple conditions\\n- SEARCH('Value', {Field}) substring match\\n- ROUND({Field1} / {Field2}, 2) numeric calculation\\n- AND(IS_BEFORE({Date}, TODAY()), {Status} = 'Active') filter by date and status\\n- ISERROR(expression) checks if an expression has an error\\n- ABS(number) absolute value\\n- MIN(value1, value2) minimum value\\n- MAX(value1, value2) maximum value\\n\\n\"\n },\n {\n \"id\": \"4e0f9af6-517f-42af-9ced-df0e8a7118b0\",\n \"name\": \"schema\",\n \"type\": \"string\",\n \"value\": \"={\\n \\\"name\\\": \\\"filter\\\",\\n \\\"schema\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"filter\\\": {\\n \\\"type\\\": \\\"string\\\"\\n }\\n },\\n \\\"required\\\": [\\n \\\"filter\\\"\\n ],\\n \\\"additionalProperties\\\": false\\n },\\n \\\"strict\\\": true\\n}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6e670074-8508-4282-9c40-600cc445b10f\",\n \"name\": \"Upload file to get link\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 2580,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://tmpfiles.org/api/v1/upload\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"contentType\": \"multipart-form-data\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"file\",\n \"parameterType\": \"formBinaryData\",\n \"inputDataFieldName\": \"data\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b7569d19-3a10-41e5-932b-4be04260a58e\",\n \"name\": \"OpenAI - Download File\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2360,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/files/{{ $json.data[0].attachments[0]?.file_id ?? $json.data[0].content.find(x=>x.type==\\\"image_file\\\")?.image_file.file_id }}/content\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"vBLHyjEnMK9EaWwQ\",\n \"name\": \"Mark OpenAi \"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"bf378b21-07fb-4f9e-bfc5-9623ebcb8236\",\n \"name\": \"OpenAI - Get messages\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1960,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('OpenAI - Create thread').item.json.id }}/messages\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9874eec1-61e2-45fe-8c57-556957a15473\",\n \"name\": \"OpenAI - Run assistant\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('OpenAI - Create thread').item.json.id }}/runs\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"assistant_id\",\n \"value\": \"asst_PGUuvzEGJWOE8p8vwV56INLO\"\n },\n {\n \"name\": \"stream\",\n \"value\": \"={{true}}\"\n },\n {\n \"name\": \"tool_choice\",\n \"value\": \"={{ {\\\"type\\\": \\\"code_interpreter\\\"} }}\"\n },\n {\n \"name\": \"tools\",\n \"value\": \"={{ [{\\\"type\\\": \\\"code_interpreter\\\"}] }}\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"fLfRtaXbR0EVD0pl\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e5339ad2-36c7-40c5-846b-2bd242f41ea5\",\n \"name\": \"OpenAI - Send message\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1560,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('OpenAI - Create thread').item.json.id }}/messages \",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"role\",\n \"value\": \"user\"\n },\n {\n \"name\": \"content\",\n \"value\": \"=Request:\\n{{ $('Execute Workflow Trigger').item.json.query.request }}\\n\\nData:\\n{{ $('Execute Workflow Trigger').item.json.query.data }}\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"fLfRtaXbR0EVD0pl\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5b822c15-af63-43f6-ac30-61a34dcd91ee\",\n \"name\": \"OpenAI - Create thread\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1360,\n 1720\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/threads\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"vBLHyjEnMK9EaWwQ\",\n \"name\": \"Mark OpenAi \"\n }\n },\n \"typeVersion\": 4.2\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"If1\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI - Download File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Airtable - Search records\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Switch\": {\n \"main\": [\n [\n {\n \"node\": \"Get Bases\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Base/Tables schema\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"If filter description exists\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI - Create thread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Bases\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate1\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate2\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search records\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get base schema\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create map image\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get list of bases\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Get messages\": {\n \"main\": [\n [\n {\n \"node\": \"If1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Send message\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Run assistant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set schema and prompt\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Generate search filter\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Base/Tables schema\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Create thread\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Send message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Download File\": {\n \"main\": [\n [\n {\n \"node\": \"Upload file to get link\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Run assistant\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Get messages\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Process data with code\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload file to get link\": {\n \"main\": [\n [\n {\n \"node\": \"Response1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Switch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Airtable - Search records\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If filter description exists\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Set schema and prompt\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Generate search filter\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "AI Agent to chat with Airtable and analyze data", "node_count": 41, "category": "Data Processing"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.airtableTool to get airtable data in obsidian notes", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 7\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.airtableTool, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.respondToWebhook\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"aZSJ2BZQhNduZZ8w\",\n \"meta\": {\n \"instanceId\": \"d47f3738b860eed937a1b18d7345fa2c65cf4b4957554e29477cb064a7039870\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Get Airtable data in Obsidian Notes\",\n \"tags\": [\n {\n \"id\": \"zalLN3OHeRqcq4di\",\n \"name\": \"Obsidian\",\n \"createdAt\": \"2024-12-01T19:07:59.925Z\",\n \"updatedAt\": \"2024-12-01T19:07:59.925Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"584cfe61-7f1b-4deb-ab4b-45a5ffd20daf\",\n \"name\": \"Airtable\",\n \"type\": \"n8n-nodes-base.airtableTool\",\n \"position\": [\n 540,\n 340\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appP3ocJy1rXIo6ko\",\n \"cachedResultUrl\": \"https://airtable.com/appP3ocJy1rXIo6ko\",\n \"cachedResultName\": \"table\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblywtlpPtGQMTJRm\",\n \"cachedResultUrl\": \"https://airtable.com/appP3ocJy1rXIo6ko/tblywtlpPtGQMTJRm\",\n \"cachedResultName\": \"Dummy\"\n },\n \"options\": {},\n \"operation\": \"search\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"yiZ7ZC1md4geZovu\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"8a100c92-7971-464b-b3c0-18272f0a0bef\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 220,\n 340\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"q8L9oWVM7QyzYEE5\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"98887b9b-2eae-4a2e-af2b-d40c1786c5a2\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 280,\n 200\n ],\n \"parameters\": {\n \"text\": \"={{ $json.body.content }}\",\n \"options\": {},\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"91296976-3d78-4a9e-9f4c-a4136abcca4e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -160,\n -260\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 497.9113826976365,\n \"height\": 389.9939760040372,\n \"content\": \"[](https://www.youtube.com/watch?v=2PIdeTgsENo)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7adae874-d388-4265-aff8-28a1970bd0fb\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n -240\n ],\n \"parameters\": {\n \"width\": 563.3824678865192,\n \"height\": 368.0048034646952,\n \"content\": \"## Get Airtable Data in Obsidian with AI Agent\\n<-- Watch the video to see it in action!\\n\\n**How to Set Up:**\\n- Install the [Post Webhook Plugin](https://github.com/Masterb1234/obsidian-post-webhook/) in Obsidian.\\n- Insert the n8n Webhook URL into the Post Webhook plugin settings.\\n- Configure Your Airtable Node to match your workflow needs.\\n\\n\\n**How to Use:**\\n- Highlight text containing a question about your Airtable data.\\n- Open the Obsidian Command Palette (Ctrl+P) and choose 'Send Selection to [Your Webhook]'.\\n- Click, wait for the AI Agent to process your request, and see the result appear below your selected text.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52c40581-656d-45b5-b366-d67cf2474312\",\n \"name\": \"Respond to Obsidian\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 700,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"respondWith\": \"text\",\n \"responseBody\": \"={{ $json.output }}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"f2bf502e-5e6f-4e71-8c4f-27ec2dc5ab67\",\n \"name\": \"Webhook Set Up in Obsidian\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -40,\n 200\n ],\n \"webhookId\": \"59fc8248-d3f7-4dbc-bdf3-39d59e427160\",\n \"parameters\": {\n \"path\": \"59fc8248-d3f7-4dbc-bdf3-39d59e427160\",\n \"options\": {},\n \"httpMethod\": \"POST\",\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"dab99881-2d04-4113-9a4e-2f942fdf1c24\",\n \"connections\": {\n \"AI Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Obsidian\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Airtable\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook Set Up in Obsidian\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Get Airtable data in Obsidian Notes", "node_count": 7, "category": "Webhooks"}}
{"prompt": "Design a workflow using n8n-nodes-base.form, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.extractFromFile to handling job application submissions with ai and n8n forms", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 23\n- Node Types: n8n-nodes-base.form, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.textClassifier, @n8n/n8n-nodes-langchain.chainLlm, n8n-nodes-base.formTrigger, n8n-nodes-base.airtable\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"10565888-4a1b-439a-a188-c6ee7990bb63\",\n \"name\": \"Extract from File\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 860,\n 260\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"pdf\",\n \"binaryPropertyName\": \"File_Upload\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"583aff4b-d9f5-44e7-8e91-4938592b5630\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1740,\n 380\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a09afd0-0dce-41fd-bec3-783fcb3d01fc\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1920,\n 380\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"Name\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Address\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Email\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Telephone\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Education\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Skills & Technologies\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Years of Experience\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Cover Letter\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"541a00d0-1635-48ad-b69e-83b28e178d6e\",\n \"name\": \"OpenAI Chat Model2\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1020,\n 420\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"19e4ad5b-2f96-491c-bcb3-52cca526ff82\",\n \"name\": \"Step 1 of 2 - Upload CV\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n 460,\n 220\n ],\n \"webhookId\": \"4cf0f3b7-6282-47af-a7f1-3dfb00a1311d\",\n \"parameters\": {\n \"options\": {\n \"path\": \"job-application-step1of2\",\n \"ignoreBots\": true,\n \"buttonLabel\": \"Submit\",\n \"useWorkflowTimezone\": true\n },\n \"formTitle\": \"Step 1 of 2: Submit Your CV\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Name\",\n \"placeholder\": \"Eg. Sam Smith\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"file\",\n \"fieldLabel\": \"File Upload\",\n \"multipleFiles\": false,\n \"requiredField\": true,\n \"acceptFileTypes\": \"pdf\"\n },\n {\n \"fieldType\": \"dropdown\",\n \"fieldLabel\": \"Acknowledgement of Terms\",\n \"multiselect\": true,\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"I agree to the terms & conditions\"\n }\n ]\n },\n \"requiredField\": true\n }\n ]\n },\n \"responseMode\": \"lastNode\",\n \"formDescription\": \"Thank you for your interest in applying for Acme Inc. To ensure a speedy process, please ensure you following all instructions and fill out all required inputs.\\n\\nThis step requires you upload your CV in a password-free PDF document. Any document that is not a CV will be rejected.\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"ec54096b-5f9f-444e-87b1-db99197731f1\",\n \"name\": \"Save to Airtable\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 2340,\n 320\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appQ6mE9KSzlvaGDT\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT\",\n \"cachedResultName\": \"Job Applications with AI & Forms\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblUwwRXGnNzesNgr\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT/tblUwwRXGnNzesNgr\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"Name\": \"={{ $json.output.Name }}\",\n \"Email\": \"={{ $json.output.Email }}\",\n \"Address\": \"={{ $json.output.Address }}\",\n \"Education\": \"={{ $json.output.Education }}\",\n \"Telephone\": \"={{ $json.output.Telephone }}\",\n \"Cover Letter\": \"={{ $json.output['Cover Letter'] }}\",\n \"Submitted By\": \"={{ $('Step 1 of 2 - Upload CV').first().json.Name }}\",\n \"Years of Experience\": \"={{ $json.output['Years of Experience'] }}\",\n \"Skills & Technologies\": \"={{ $json.output['Skills & Technologies'] }}\"\n },\n \"schema\": [\n {\n \"id\": \"Name\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Name\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"File\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"File\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Cover Letter\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Cover Letter\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Address\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Address\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Email\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Email\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Telephone\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Telephone\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Education\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Education\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Skills & Technologies\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Skills & Technologies\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Years of Experience\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Years of Experience\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Created\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Created\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Last Modified\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Last Modified\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Submitted By\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Submitted By\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"127965b3-a2c6-443b-942d-8691b5bcb25d\",\n \"name\": \"Classify Document\",\n \"type\": \"@n8n/n8n-nodes-langchain.textClassifier\",\n \"position\": [\n 1020,\n 260\n ],\n \"parameters\": {\n \"options\": {\n \"fallback\": \"other\"\n },\n \"inputText\": \"={{ $json.text }}\",\n \"categories\": {\n \"categories\": [\n {\n \"category\": \"CV or Resume\",\n \"description\": \"This document is a CV or Resume\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b82476c8-b285-467f-b344-e1f667f42479\",\n \"name\": \"Upload File to Record\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2540,\n 320\n ],\n \"parameters\": {\n \"url\": \"=https://content.airtable.com/v0/{{ $('Save to Airtable').params.base.value }}/{{ $json.id }}/File/uploadAttachment\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"contentType\",\n \"value\": \"application/pdf\"\n },\n {\n \"name\": \"filename\",\n \"value\": \"={{ $workflow.id }}-{{ $execution.id }}.pdf\"\n },\n {\n \"name\": \"file\",\n \"value\": \"={{ $('Step 1 of 2 - Upload CV').first().binary.File_Upload.data }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"airtableTokenApi\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ee6f59ee-781f-4ed4-8cec-b7de70a82dac\",\n \"name\": \"Form Success\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 3900,\n 320\n ],\n \"webhookId\": \"4b154ccc-ad54-4cc2-a239-cf8354fc91bf\",\n \"parameters\": {\n \"options\": {},\n \"operation\": \"completion\",\n \"completionTitle\": \"Application Success\",\n \"completionMessage\": \"Thank you for completing the application process.\\nYour informaion is filed securely and will be reviewed by our team.\\n\\nWe will be in touch shortly.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"43d46474-b9f8-4adf-89f8-d4c993641448\",\n \"name\": \"Save to Airtable1\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 3720,\n 320\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appQ6mE9KSzlvaGDT\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT\",\n \"cachedResultName\": \"Job Applications with AI & Forms\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblUwwRXGnNzesNgr\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT/tblUwwRXGnNzesNgr\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"Name\": \"={{ $json.Name }}\",\n \"Email\": \"={{ $json.Email }}\",\n \"Address\": \"={{ $json.Address }}\",\n \"Education\": \"={{ $json.Education }}\",\n \"Telephone\": \"={{ $json.Telephone }}\",\n \"Cover Letter\": \"={{ $json.output['Cover Letter'] }}\",\n \"Years of Experience\": \"={{ $json['Years of Experience'] }}\",\n \"Skills & Technologies\": \"={{ $json['Skills & Technologies'] }}\"\n },\n \"schema\": [\n {\n \"id\": \"Name\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Name\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"File\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"File\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Cover Letter\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Cover Letter\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Address\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Address\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Email\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Email\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Telephone\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Telephone\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Education\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Education\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Skills & Technologies\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Skills & Technologies\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Years of Experience\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Years of Experience\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Created\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Created\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Last Modified\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Last Modified\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Submitted By\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Submitted By\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"Email\",\n \"Name\"\n ]\n },\n \"options\": {},\n \"operation\": \"update\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"38115307-824c-4354-917c-b18e93178f87\",\n \"name\": \"Step 2 of 2 - Application Form\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n 3520,\n 320\n ],\n \"webhookId\": \"db923d6c-ea24-4679-b4ba-d3b142ef8338\",\n \"parameters\": {\n \"options\": {\n \"path\": \"job-application-step2of2\",\n \"ignoreBots\": true,\n \"useWorkflowTimezone\": true\n },\n \"formTitle\": \"Step 2 of 2: Application Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Name\",\n \"placeholder\": \"Eg. Sam Smith\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Address\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"email\",\n \"fieldLabel\": \"Email\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Telephone\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Education\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Skills & Technologies\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Years of Experience\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Cover Letter\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"dropdown\",\n \"fieldLabel\": \"Acknowledgement of Terms\",\n \"multiselect\": true,\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"I agree to consent to the terms and conditions\"\n }\n ]\n },\n \"requiredField\": true\n }\n ]\n },\n \"formDescription\": \"This application form prefills using the CV you submitted. Please make any amendments as required and once satisfied, please submit the form to complete the application process.\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"1171540b-ebb2-41cb-b9f1-2da335caaece\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 300,\n 20\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 430,\n \"height\": 381,\n \"content\": \"## 1. Application Form To Upload CV\\n[Learn more the Form Trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/)\\n\\nOur application process starts with a simple file upload to get the applicant's CV for processing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4791901b-31a6-44c3-a1da-9c32b78cf305\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 760,\n 17.5\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 774,\n \"height\": 593,\n \"content\": \"## 2. Document Classifier and ReUpload Form\\n[Read more about the Text Classifier](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/)\\n\\nForm validation remains a critical step and before the introduction of LLMs, classifying document types was a relatively troublesome process. Today, n8n's text classifier node does an excellent job at this task.\\n\\nContextual validation powered by AI means invalid, incomplete or poorly created applicant CVs can be rejected as a quality check. When this happens in our workflow, we present the user again with the file upload form to retry.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4dc1a316-15b7-4568-9910-79b4a7989dcb\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1560,\n -20\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 648,\n \"height\": 584,\n \"content\": \"## 3. Smarter Application Pre-fill with Job Role Context\\n[Read more about the Basic LLM node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)\\n\\nInformation extraction is a logical next step once we have our PDF contents but we can extend further by only extracting data which is relevant to our job post. This ensure the information we extract is always relevant which saves time for the hiring team.\\n\\nTo achieve this for this demo, I've included the job post in the prompt for the LLM to compare the CV against. The provides the AI enough context to complete the task successfully.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"76006a7b-32ce-4606-be98-9a7b7b451215\",\n \"name\": \"Application Suitability Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 1740,\n 220\n ],\n \"parameters\": {\n \"text\": \"=Here is the candidate's CV:\\n{{ $json.text }}\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=Extract information from the applicant's CV which is relevant to the job post.\\nWhen writing the cover letter, use no more than a few paragraphs. No need to address the hiring company or personnel as this text will be input into an online form.\\nUse a formal and professional tone.\\nThis is the job post which the cover letter should address:\\n\\n```\\nJob Post: General Operations Manager – Manufacturing Industry\\nJob Type: Full-time\\nExperience Level: Mid to Senior\\n\\nAbout Us:\\nWe are a forward-thinking manufacturing company committed to innovation, quality, and sustainability. We strive to improve operations, enhance product quality, and implement eco-friendly practices, fostering a productive and collaborative work environment.\\n\\nJob Description:\\nWe are seeking an experienced and dynamic General Operations Manager to lead and optimize our manufacturing processes. The successful candidate will oversee production, enhance efficiency, and implement effective strategies to support our mission. This role is ideal for a seasoned professional with a strong background in operational management and a knack for process improvement.\\n\\nKey Responsibilities:\\n\\nOversee and manage production and sales teams across multiple shifts, ensuring seamless 24/6 operations.\\nDevelop and implement cost-effective quality control and accountability measures to maintain high manufacturing standards.\\nManage inventory and procurement, strategically timing raw material purchases to maximize cost efficiency.\\nLead ERP system upgrades or similar digital transformation projects, ensuring timely and budget-friendly execution.\\nOptimize credit control and payment terms to improve cash flow while maintaining client relationships.\\nAdvocate for sustainable practices, including integrating recycled materials into production processes.\\nQualifications:\\n\\nBachelor's degree in Business Administration or a related field; a Master's in Financial Economics is a plus.\\nProven experience in a leadership role within the manufacturing industry.\\nExpertise in managing teams, production cycles, and quality assurance.\\nProficiency in ERP systems and software such as Stata, Bloomberg Professional, and Thomson Reuters DataStream.\\nStrong analytical, decision-making, and organizational skills.\\nFamiliarity with capital markets, private equity, or strategic management consulting is a plus.\\nPreferred Skills:\\n\\nAdvanced knowledge of plastics manufacturing, including polyethylene and polypropylene applications.\\nExperience in implementing sustainability initiatives and green business practices.\\nExcellent communication skills, with a history of collaboration and team-building.\\nWhat We Offer:\\n\\nCompetitive salary and benefits package.\\nOpportunities for professional growth and development.\\nA collaborative and innovative work environment.\\nHow to Apply:\\nPlease send your resume and a cover letter highlighting your experience and achievements to [HR Email]. Applications will be reviewed on a rolling basis.\\n\\nJoin us and drive operational excellence in manufacturing!\\n```\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"cfc6a1a1-d42c-49b1-a93b-4a04e7e88521\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2240,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 528,\n \"height\": 524,\n \"content\": \"## 4. Save to Applicant Tracking System\\n[Read more about the Airtable node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable/)\\n\\nNext, we can complete our simple data capture by integrating and pushing data to our Applicant Tracking System.\\n\\nHere, we're using Airtable because we can also store PDF files in our rows.\\n\\nSee our example Airtable here: [https://airtable.com/appQ6mE9KSzlvaGDT/shrIivfe9qH6YEYAs](https://airtable.com/appQ6mE9KSzlvaGDT/shrIivfe9qH6YEYAs)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8f21067f-a851-4480-84b8-bb37eddfd7d6\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2780,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 575.8190139534884,\n \"height\": 524,\n \"content\": \"## 5. Redirect to Application Form\\n[Learn more about Form Ending](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/#form-ending)\\n\\nFinally to complete the form flow for step 1 of 2, we'll use a form ending node to redirect the user to step 2 of 2.\\n\\nHere, we using query params as part of our redirect as this will pre-fill the form fields in step 2 of 2.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2ba9cea6-173f-45be-bdda-a6ef061d91f5\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3380,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 788,\n \"height\": 524,\n \"content\": \"## 6. Application Form to Amend Details\\n[Learn more about Forms](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form)\\n\\nIn the second part of the application process, applicants are presented with a form containing multiple fields to complete. This step has often been a source of frustration for many, as they end up duplicating information that’s already in their CV.\\n\\nIf our redirection with prefilled data works as intended, this issue will be resolved, as the fields will be automatically populated by our LLM during step 1 of 2. This also allows candidates the opportunity to review and refine the application fields before submitting.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5add63c3-19d4-4035-a718-b1c125a03c67\",\n \"name\": \"File Upload Retry\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 1340,\n 380\n ],\n \"webhookId\": \"c3e8dc74-c6e0-4d0b-acf3-8bbc2f7c9ae2\",\n \"parameters\": {\n \"options\": {\n \"formTitle\": \"Please upload a CV\",\n \"formDescription\": \"Unfortunately, we were unable to process your previous file upload.\\n\\nTo continue, you must upload a valid CV in PDF format. \"\n },\n \"formFields\": {\n \"values\": [\n {\n \"fieldType\": \"file\",\n \"fieldLabel\": \"File Upload\",\n \"multipleFiles\": false,\n \"requiredField\": true,\n \"acceptFileTypes\": \"pdf\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cc27b37f-26f5-47c3-9ac2-4412352070e5\",\n \"name\": \"Redirect To Step 2 of 2\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 3120,\n 280\n ],\n \"webhookId\": \"1b6e2375-e21d-4e4f-a44e-3ef0de95320e\",\n \"parameters\": {\n \"operation\": \"completion\",\n \"redirectUrl\": \"=https:///form/job-application-step2of2?{{ $('Application Suitability Agent').first().json.output.urlEncode() }}\",\n \"respondWith\": \"redirect\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1cba63a9-57cb-4e17-a601-2bd64fb50dbf\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n -240\n ],\n \"parameters\": {\n \"width\": 420,\n \"height\": 640,\n \"content\": \"## Try It Out!\\n\\n### This n8n template combines form file uploads with AI components to create a simple but effective job application submission flow.\\nIt's a perfect low-cost solution without the bells and whistles of the surface yet is highly advanced with its use of AI.\\n\\n### How it works\\n* The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs.\\n* The PDF is validated using the text classifier node to determine if it is a valid CV.\\n* A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy.\\n* Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows.\\n* Finally, a second form trigger is used to allow the applicant to amend any of the generated application fields.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4289f9f2-2286-4bc7-9045-c645ff292341\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3060,\n 460\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"### 🚨 Change Base URL here!\\nThis redirect requires the full base URL, change it to the host of your n8n instance.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fca5b2ab-291f-4ac3-b4e1-13911666359f\",\n \"name\": \"Submission Success\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 2900,\n 280\n ],\n \"webhookId\": \"f3b12dd4-dd5d-47a9-8bc1-727ba7eb5d15\",\n \"parameters\": {\n \"options\": {\n \"formTitle\": \"CV Submission Successful!\",\n \"buttonLabel\": \"Continue\",\n \"formDescription\": \"We'll now redirect you to step 2 of 2 - our Application form. Please note, some fields will be prefilled with information from your CV. Feel free to amend this information as needed.\"\n },\n \"formFields\": {\n \"values\": [\n {\n \"fieldType\": \"dropdown\",\n \"fieldLabel\": \"Acknowledgement\",\n \"multiselect\": true,\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"I understand my CV will be held soley for purpose of application and for no more than 90 days.\"\n }\n ]\n },\n \"requiredField\": true\n }\n ]\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Save to Airtable\": {\n \"main\": [\n [\n {\n \"node\": \"Upload File to Record\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Classify Document\": {\n \"main\": [\n [\n {\n \"node\": \"Application Suitability Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"File Upload Retry\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract from File\": {\n \"main\": [\n [\n {\n \"node\": \"Classify Document\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"File Upload Retry\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Save to Airtable1\": {\n \"main\": [\n [\n {\n \"node\": \"Form Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Form Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Application Suitability Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model2\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Classify Document\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Submission Success\": {\n \"main\": [\n [\n {\n \"node\": \"Redirect To Step 2 of 2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload File to Record\": {\n \"main\": [\n [\n {\n \"node\": \"Submission Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Step 1 of 2 - Upload CV\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Application Suitability Agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Application Suitability Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Save to Airtable\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Step 2 of 2 - Application Form\": {\n \"main\": [\n [\n {\n \"node\": \"Save to Airtable1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Handling Job Application Submissions with AI and n8n Forms", "node_count": 23, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for openai assistant for hubspot chat", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 34\n- Node Types: n8n-nodes-base.wait, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest, n8n-nodes-base.airtable\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"C2pB17EpXAJwOcst\",\n \"meta\": {\n \"instanceId\": \"ba379c9b99d35340c90344105e7e5d06ca0de3e88926f0384d2c23099dad1937\"\n },\n \"name\": \"OpenAI Assistant for Hubspot Chat\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"7f11a684-911b-4fbc-ba1b-a8e7bce8e914\",\n \"name\": \"getHubspotMessage\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 280,\n 580\n ],\n \"parameters\": {\n \"url\": \"=https://api.hubapi.com/conversations/v3/conversations/threads/{{ $json[\\\"body\\\"][0][\\\"objectId\\\"] }}/messages/{{ $json[\\\"body\\\"][0][\\\"messageId\\\"] }}\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"hubspotAppToken\"\n },\n \"credentials\": {\n \"hubspotAppToken\": {\n \"id\": \"56nluFhXiGjYN1EY\",\n \"name\": \"HubSpot App Token tinder\"\n },\n \"hubspotOAuth2Api\": {\n \"id\": \"y6819fYl4TsW9gl6\",\n \"name\": \"HubSpot account 6\"\n },\n \"hubspotDeveloperApi\": {\n \"id\": \"dHB9nVcnZTqf2JDX\",\n \"name\": \"HubSpot Developer account\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"687bcbb8-38c8-4d21-a46f-186e880d003c\",\n \"name\": \"OpenAi Create Thread\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1260,\n 420\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/threads\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"{{ $('getHubspotMessage').item.json[\\\"text\\\"] }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"8b51d465-d298-4b7a-b939-026bd51469d3\",\n \"name\": \"OpenAI Run\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1620,\n 420\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json[\\\"OpenAI Thread ID\\\"] }}/runs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"assistant_id\\\": \\\"asst_MA71Jq0SElVpdjmJa212CTFd\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"3e645c55-a236-466f-9983-2a3e91c250db\",\n \"name\": \"Get Run\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1920,\n 600\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json[\\\"thread_id\\\"] }}/runs/{{ $json[\\\"id\\\"] }}\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"a69a1d1e-b932-481e-8d36-8d121c63ad4b\",\n \"name\": \"Get Last Message\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2520,\n 460\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json[\\\"thread_id\\\"] }}/messages\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"d9758207-56d4-4180-aac7-f0ebafab1064\",\n \"name\": \"HTTP Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2820,\n 960\n ],\n \"parameters\": {\n \"url\": \"=https://www.listafirme.ro/api/search-v1.asp\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"key\",\n \"value\": \"982dc86a0c1bd4c71185d39ae9f36998\"\n },\n {\n \"name\": \"src\",\n \"value\": \"={{JSON.parse($json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"function\\\"][\\\"arguments\\\"]).src}}\"\n }\n ]\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"5c6f30fd-3ac2-401c-897a-54c7e998c97b\",\n \"name\": \"Completed, Action or Inprogress\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 2120,\n 600\n ],\n \"parameters\": {\n \"rules\": {\n \"rules\": [\n {\n \"value2\": \"completed\"\n },\n {\n \"output\": 1,\n \"value2\": \"requires_action\"\n },\n {\n \"output\": 2,\n \"value2\": \"in_progress\",\n \"operation\": \"=equal\"\n },\n {\n \"output\": 3,\n \"value2\": \"queued\"\n }\n ]\n },\n \"value1\": \"={{ $json.status }}\",\n \"dataType\": \"string\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c1bc0adf-3552-43a3-b38f-bfc76e2683cd\",\n \"name\": \"Wait\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2360,\n 1000\n ],\n \"webhookId\": \"e15c2bb6-e022-4c6d-869b-f361b1ec1259\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e0c4528-5b2b-4d3c-9b53-166ea0f2a28e\",\n \"name\": \"Wait1\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2340,\n 760\n ],\n \"webhookId\": \"3a175bf4-c569-431e-bc56-abed3653ce9d\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f80a2cd8-6691-4186-909b-cfed95318014\",\n \"name\": \"Submit Data\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3360,\n 960\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('Select Function').item.json[\\\"thread_id\\\"] }}/runs/{{ $('Select Function').item.json[\\\"id\\\"] }}/submit_tool_outputs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"tool_outputs\\\": [\\n {\\n \\\"tool_call_id\\\": \\\"{{ $('Select Function').item.json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"id\\\"] }}\\\",\\n \\\"output\\\": \\\"{{$json.escapedJsonString}}\\\"\\n }\\n ]\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"eb114cfd-1af2-4c8b-bfba-583453a1d7ca\",\n \"name\": \"Select Function\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 2520,\n 700\n ],\n \"parameters\": {\n \"rules\": {\n \"rules\": [\n {\n \"value2\": \"getAWBbyOrder\"\n },\n {\n \"output\": 1,\n \"value2\": \"get_awb_history\"\n }\n ]\n },\n \"value1\": \"={{ $json.required_action.submit_tool_outputs.tool_calls[0].function.name }}\",\n \"dataType\": \"string\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d1ad478-a9a4-4e9f-9b06-e2a9b7b2b55c\",\n \"name\": \"Code1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3080,\n 960\n ],\n \"parameters\": {\n \"jsCode\": \"const item1 = $input.all()[0]?.json;\\nconst jsonString = JSON.stringify(item1);\\nconst escapedJsonString = jsonString.replace(/\\\"/g, '\\\\\\\\\\\"');\\n\\nreturn { escapedJsonString };\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"39cab0c4-1d7d-41cb-a88d-00acc8e79a24\",\n \"name\": \"Wait2\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3720,\n 1400\n ],\n \"webhookId\": \"68ae5068-6a39-424c-b88d-019bfee78b6f\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"54205ed2-7c96-44b6-9637-20830300310a\",\n \"name\": \"HTTP Request1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2820,\n 1180\n ],\n \"parameters\": {\n \"url\": \"=https://www.listafirme.ro/api/info-v1.asp\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"key\",\n \"value\": \"982dc86a0c1bd4c71185d39ae9f36998\"\n },\n {\n \"name\": \"data\",\n \"value\": \"={\\\"TaxCode\\\":\\\"{{JSON.parse($json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"function\\\"][\\\"arguments\\\"]).src}}\\\",\\\"NACE\\\":\\\"info\\\",\\\"VAT\\\":\\\"\\\", \\\"RegNo\\\":\\\"\\\", \\\"Status\\\":\\\"\\\", \\\"LegalForm\\\":\\\"\\\", \\\"Name\\\":\\\"\\\", \\\"Date\\\":\\\"\\\", \\\"TownCode\\\":\\\"\\\", \\\"County\\\":\\\"\\\", \\\"City\\\":\\\"\\\", \\\"Address\\\":\\\"\\\", \\\"Administrators\\\":\\\"\\\", \\\"Shareholders\\\":\\\"\\\", \\\"Balance\\\":\\\"latest\\\", \\\"Phone\\\":\\\"\\\", \\\"Mobile\\\":\\\"\\\", \\\"Fax\\\":\\\"\\\", \\\"Email\\\":\\\"\\\", \\\"Web\\\":\\\"\\\", \\\"Geolocation\\\":\\\"\\\", \\\"Description\\\":\\\"\\\", \\\"Trademarks\\\":\\\"\\\", \\\"Subsidiaries\\\":\\\"\\\", \\\"Branches\\\":\\\"\\\", \\\"FiscalActivity\\\":\\\"\\\", \\\"Obligations\\\":\\\"\\\", \\\"Links\\\":\\\"\\\"}\"\n }\n ]\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"862ab78d-0288-4c78-9e02-7ad4ff794a6d\",\n \"name\": \"Code\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3060,\n 1180\n ],\n \"parameters\": {\n \"jsCode\": \"const item1 = $input.all()[0]?.json;\\nconst jsonString = JSON.stringify(item1);\\nconst escapedJsonString = jsonString.replace(/\\\"/g, '\\\\\\\\\\\"');\\n\\nreturn { escapedJsonString };\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"e9d1d277-107d-403c-9911-5faa4ae75671\",\n \"name\": \"Submit Data1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3260,\n 1180\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('Select Function').item.json[\\\"thread_id\\\"] }}/runs/{{ $('Select Function').item.json[\\\"id\\\"] }}/submit_tool_outputs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"tool_outputs\\\": [\\n {\\n \\\"tool_call_id\\\": \\\"{{ $('Select Function').item.json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"id\\\"] }}\\\",\\n \\\"output\\\": \\\"{{$json.escapedJsonString}}\\\"\\n }\\n ]\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"28e7637b-9a3b-49ba-b4c7-efd3f6cf0522\",\n \"name\": \"Wait3\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3460,\n 1360\n ],\n \"webhookId\": \"6d7d039c-8a4b-4178-8d31-57fb3c24ac14\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2b954546-8bc6-4028-9826-37a64d2aed04\",\n \"name\": \"respondHubspotMessage1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2820,\n 420\n ],\n \"parameters\": {\n \"url\": \"=https://api.hubapi.com/conversations/v3/conversations/threads/{{ $('getHubspotMessage').item.json[\\\"conversationsThreadId\\\"] }}/messages\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"type\",\n \"value\": \"MESSAGE\"\n },\n {\n \"name\": \"richText\",\n \"value\": \"={{ $json.data[0].content[0].text.value }}\"\n },\n {\n \"name\": \"senderActorId\",\n \"value\": \"A-5721819\"\n },\n {\n \"name\": \"channelId\",\n \"value\": \"={{ $('getHubspotMessage').item.json.channelId }}\"\n },\n {\n \"name\": \"channelAccountId\",\n \"value\": \"={{ $('getHubspotMessage').item.json.channelAccountId }}\"\n },\n {\n \"name\": \"text\",\n \"value\": \"{{ $json.data[0].content[0].text.value }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"hubspotAppToken\"\n },\n \"credentials\": {\n \"hubspotAppToken\": {\n \"id\": \"56nluFhXiGjYN1EY\",\n \"name\": \"HubSpot App Token tinder\"\n },\n \"hubspotOAuth2Api\": {\n \"id\": \"y6819fYl4TsW9gl6\",\n \"name\": \"HubSpot account 6\"\n },\n \"hubspotDeveloperApi\": {\n \"id\": \"dHB9nVcnZTqf2JDX\",\n \"name\": \"HubSpot Developer account\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"6facd7e9-5cbd-4eb7-ab22-84b4fbf35885\",\n \"name\": \"IF\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 640,\n 600\n ],\n \"parameters\": {\n \"conditions\": {\n \"string\": [\n {\n \"value1\": \"={{ $('getHubspotMessage').item.json[\\\"senders\\\"][0][\\\"actorId\\\"] }}\",\n \"value2\": \"A-5721819\",\n \"operation\": \"notEqual\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9410bce8-3a2d-4852-acbd-8baa7ee4964d\",\n \"name\": \"Airtable\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 860,\n 600\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appGAPr0tOy8J0NXC\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC\",\n \"cachedResultName\": \"Hubspot Conversations ChatGPT\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tbljZ0POq35jgnKES\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC/tbljZ0POq35jgnKES\",\n \"cachedResultName\": \"Conversations\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"filterByFormula\": \"={Hubspot Thread ID}=\\\"{{ $json.conversationsThreadId }}\\\"\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Ha1BL7JqKQIwX3H1\",\n \"name\": \"Hubspot Conversations Makeitfuture Management\"\n }\n },\n \"typeVersion\": 2,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"06449687-7521-4151-89c5-050a2768af13\",\n \"name\": \"IF1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1040,\n 640\n ],\n \"parameters\": {\n \"conditions\": {\n \"string\": [\n {\n \"value1\": \"={{ $('Airtable').item.json.id }}\",\n \"operation\": \"isEmpty\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"65c3015e-760f-41e8-9d18-05492cf908c8\",\n \"name\": \"createThread\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1440,\n 420\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appGAPr0tOy8J0NXC\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC\",\n \"cachedResultName\": \"Hubspot Conversations ChatGPT\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tbljZ0POq35jgnKES\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC/tbljZ0POq35jgnKES\",\n \"cachedResultName\": \"Conversations\"\n },\n \"columns\": {\n \"value\": {\n \"OpenAI Thread ID\": \"={{ $json[\\\"id\\\"] }}\",\n \"Hubspot Thread ID\": \"={{ $('getHubspotMessage').item.json.conversationsThreadId }}\"\n },\n \"schema\": [\n {\n \"id\": \"Hubspot Thread ID\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Hubspot Thread ID\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"OpenAI Thread ID\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"OpenAI Thread ID\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Ha1BL7JqKQIwX3H1\",\n \"name\": \"Hubspot Conversations Makeitfuture Management\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"14cd4854-34fa-4a40-8bd2-cce2d9da9571\",\n \"name\": \"OpenAI Run1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1620,\n 780\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('Airtable').item.json[\\\"OpenAI Thread ID\\\"] }}/runs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"assistant_id\\\": \\\"asst_MA71Jq0SElVpdjmJa212CTFd\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"continueOnFail\": true,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"7c37641f-b0a4-4031-b289-3d6aed5a5bd6\",\n \"name\": \"IF2\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 60,\n 600\n ],\n \"parameters\": {\n \"conditions\": {\n \"string\": [\n {\n \"value1\": \"={{ $json[\\\"body\\\"][0][\\\"messageId\\\"] }}\",\n \"operation\": \"isNotEmpty\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"12744ebd-1d36-4f3c-9cbe-2ed7d18d37e3\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -200,\n 440\n ],\n \"parameters\": {\n \"width\": 640.1970959824021,\n \"height\": 428.68258455167785,\n \"content\": \"Watch for new message on the chatbot. \\nThis can be triggered with [n8n chat widget](https://www.npmjs.com/package/@n8n/chat), hubspot or other chat services. \\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9c200085-e9aa-4e11-93c2-da8184976229\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2480,\n 340\n ],\n \"parameters\": {\n \"width\": 615.2010006500725,\n \"height\": 279.76857176586907,\n \"content\": \"Post assistant Message back to chat service, in this case Hubspot\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4458aafb-d280-46d0-ba54-3eb4ee746892\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 300\n ],\n \"parameters\": {\n \"width\": 636.6434938094908,\n \"height\": 304.69360473583896,\n \"content\": \"Create a new Thread, save it to database and RUN\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f13f45aa-47c9-4a76-a69c-f13f51d9434f\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 480,\n 440\n ],\n \"parameters\": {\n \"width\": 328.9155262250898,\n \"height\": 421.64797280574976,\n \"content\": \"UPDATE USER FILTER FOR DUPLICATION\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba0d0a2c-5014-44b8-a281-9d5014b78bcc\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 840,\n 440\n ],\n \"parameters\": {\n \"width\": 328.9155262250898,\n \"height\": 421.64797280574976,\n \"content\": \"Search for Thread ID in a database. \\n\\nThis database is maintaing references between messaging service thread id and OpenI Thread ID. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3d3562b5-631f-405c-b671-6856214f167f\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 680\n ],\n \"parameters\": {\n \"width\": 636.6434938094908,\n \"height\": 304.69360473583896,\n \"content\": \"POST a new message to existing thread.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9ad1622c-5b42-4279-bf16-edf7bcbb5155\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1900,\n 320\n ],\n \"parameters\": {\n \"width\": 393.4831089305742,\n \"height\": 629.4777449641093,\n \"content\": \"Get Run Status:\\nIf still in progress, run again. \\nIf action needed go to respective action.\\nIf Completed, post message.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e51965ef-7694-41b3-9c9a-9f78c00af3f3\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2538.191410231545,\n 840\n ],\n \"parameters\": {\n \"width\": 1361.867818730004,\n \"height\": 731.995091888263,\n \"content\": \"Run required actions based on Assistant answer and respond to Assistant with the function answer. \\n\\nEach route is a function that you need to define inside your assistant configuration.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"706fb261-724e-4c22-8def-24a320d213a2\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1280,\n 780\n ],\n \"parameters\": {\n \"text\": \"={{ $('getHubspotMessage').item.json[\\\"text\\\"] }}\",\n \"prompt\": \"define\",\n \"options\": {\n \"baseURL\": \"https://api.openai.com/v1/threads/{{ $('Airtable').item.json[\\\"OpenAI Thread ID\\\"] }}/messages\"\n },\n \"resource\": \"assistant\",\n \"assistantId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"asst_wVbEcnRttQ8K65DOV0fk1DJU\",\n \"cachedResultName\": \"Lista Firma Agent\"\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"b8f686cc-33d6-4e99-987c-d1f91864e81d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -160,\n 600\n ],\n \"webhookId\": \"637d5b46-b35f-4943-92a2-864ddce170f4\",\n \"parameters\": {\n \"path\": \"hubspot-tinder\",\n \"options\": {},\n \"httpMethod\": \"POST\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"d9763b45-9092-490f-85b4-926354cdeb47\",\n \"connections\": {\n \"IF\": {\n \"main\": [\n [\n {\n \"node\": \"Airtable\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"IF1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAi Create Thread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"IF2\": {\n \"main\": [\n [\n {\n \"node\": \"getHubspotMessage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code\": {\n \"main\": [\n [\n {\n \"node\": \"Submit Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code1\": {\n \"main\": [\n [\n {\n \"node\": \"Submit Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait2\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait3\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI Run1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Run\": {\n \"main\": [\n [\n {\n \"node\": \"Completed, Action or Inprogress\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"IF2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Airtable\": {\n \"main\": [\n [\n {\n \"node\": \"IF1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Run\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Run1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Submit Data\": {\n \"main\": [\n [\n {\n \"node\": \"Wait2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Code1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Submit Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Wait3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"createThread\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select Function\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Last Message\": {\n \"main\": [\n [\n {\n \"node\": \"respondHubspotMessage1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"getHubspotMessage\": {\n \"main\": [\n [\n {\n \"node\": \"IF\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAi Create Thread\": {\n \"main\": [\n [\n {\n \"node\": \"createThread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Completed, Action or Inprogress\": {\n \"main\": [\n [\n {\n \"node\": \"Get Last Message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Select Function\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "OpenAI Assistant for Hubspot Chat", "node_count": 34, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for chat with postgresql database", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.postgresTool\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"eOUewYsEzJmQixI6\",\n \"meta\": {\n \"instanceId\": \"77c4feba8f41570ef06dc76ece9a6ded0f0d44f7f1477a64c2d71a8508c11faa\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Chat with Postgresql Database\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6501a54f-a68c-452d-b353-d7e871ca3780\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n -300,\n -80\n ],\n \"webhookId\": \"cf1de04f-3e38-426c-89f0-3bdb110a5dcf\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"cd32221b-2a36-408d-b57e-8115fcd810c9\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 0,\n -80\n ],\n \"parameters\": {\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"systemMessage\": \"You are DB assistant. You need to run queries in DB aligned with user requests.\\n\\nRun custom SQL query to aggregate data and response to user. Make sure every table has schema prefix to it in sql query which you can get from `Get DB Schema and Tables List` tool.\\n\\nFetch all data to analyse it for response if needed.\\n\\n## Tools\\n\\n- Execute SQL query - Executes any sql query generated by AI\\n- Get DB Schema and Tables List - Lists all the tables in database with its schema name\\n- Get Table Definition - Gets the table definition from db using table name and schema name\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"8accbeeb-7eaf-4e9e-aabc-de8ab3a0459b\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n -60,\n 160\n ],\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\"\n },\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"48uG61Ilo8jndw3r\",\n \"name\": \"Your OpenAI Account Credentials\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"11f2013f-a080-4c9e-8773-c90492e2c628\",\n \"name\": \"Get Table Definition\",\n \"type\": \"n8n-nodes-base.postgresTool\",\n \"position\": [\n 780,\n 140\n ],\n \"parameters\": {\n \"query\": \"select\\n c.column_name,\\n c.data_type,\\n c.is_nullable,\\n c.column_default,\\n tc.constraint_type,\\n ccu.table_name AS referenced_table,\\n ccu.column_name AS referenced_column\\nfrom\\n information_schema.columns c\\nLEFT join\\n information_schema.key_column_usage kcu\\n ON c.table_name = kcu.table_name\\n AND c.column_name = kcu.column_name\\nLEFT join\\n information_schema.table_constraints tc\\n ON kcu.constraint_name = tc.constraint_name\\n AND tc.constraint_type = 'FOREIGN KEY'\\nLEFT join\\n information_schema.constraint_column_usage ccu\\n ON tc.constraint_name = ccu.constraint_name\\nwhere\\n c.table_name = '{{ $fromAI(\\\"table_name\\\") }}'\\n AND c.table_schema = '{{ $fromAI(\\\"schema_name\\\") }}'\\norder by\\n c.ordinal_position\",\n \"options\": {},\n \"operation\": \"executeQuery\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get table definition to find all columns and types\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"nGI61D0TEEZz18rr\",\n \"name\": \"Your Postgresql Database Credentials\"\n }\n },\n \"typeVersion\": 2.5\n },\n {\n \"id\": \"760bc9bc-0057-4088-b3f0-3ee37b3519df\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -300,\n -240\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 560,\n \"height\": 120,\n \"content\": \"### 👨🎤 Setup\\n1. Add your **postgresql** and **OpenAI** credentials.\\n2. Click **Chat** button and start asking questions to your database.\\n3. Activate the workflow and you can make the chat publicly available.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0df33341-c859-4a54-b6d9-a99670e8d76d\",\n \"name\": \"Chat History\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 120,\n 160\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"4938b22e-f187-4ca0-b9f1-60835e823799\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 562,\n \"height\": 156,\n \"content\": \"🛠️ Tools Used:\\n1. Execute SQL Query: Used to execute any query generated by the agent.\\n2. Get DB Schema and Tables List: It returns the list of all the tables with its schema name.\\n3. Get Table Definition: It returns table details like column names, foreign keys and more of a particular table in a schema.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"39780c78-4fbc-403e-a220-aa6a4b06df8c\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 162,\n \"height\": 99,\n \"content\": \"👆 You can exchange this with any other chat model of your choice.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"28a5692c-5003-46cb-9a09-b7867734f446\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 100,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 162,\n \"height\": 159,\n \"content\": \"👆 You can change how many number of messages to keep using `Context Window Length` option. It's 5 by default.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c18ced71-6330-4ba0-9c52-1bb5852b3039\",\n \"name\": \"Execute SQL Query\",\n \"type\": \"n8n-nodes-base.postgresTool\",\n \"position\": [\n 380,\n 140\n ],\n \"parameters\": {\n \"query\": \"{{ $fromAI(\\\"sql_query\\\", \\\"SQL Query\\\") }}\",\n \"options\": {},\n \"operation\": \"executeQuery\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get all the data from Postgres, make sure you append the tables with correct schema. Every table is associated with some schema in the database.\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"nGI61D0TEEZz18rr\",\n \"name\": \"Your Postgresql Database Credentials\"\n }\n },\n \"typeVersion\": 2.5\n },\n {\n \"id\": \"557623c6-e499-48a6-a066-744f64f8b6f3\",\n \"name\": \"Get DB Schema and Tables List\",\n \"type\": \"n8n-nodes-base.postgresTool\",\n \"position\": [\n 580,\n 140\n ],\n \"parameters\": {\n \"query\": \"SELECT \\n table_schema,\\n table_name\\nFROM information_schema.tables\\nWHERE table_type = 'BASE TABLE'\\n AND table_schema NOT IN ('pg_catalog', 'information_schema')\\nORDER BY table_schema, table_name;\",\n \"options\": {},\n \"operation\": \"executeQuery\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get list of all tables with their schema in the database\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"nGI61D0TEEZz18rr\",\n \"name\": \"Your Postgresql Database Credentials\"\n }\n },\n \"typeVersion\": 2.5\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"10c7c74e-b383-4ac7-8cb2-c9a15a2818fe\",\n \"connections\": {\n \"Chat History\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute SQL Query\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Table Definition\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get DB Schema and Tables List\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Chat with Postgresql Database", "node_count": 11, "category": "General Automation"}}
{"prompt": "How would you build: Generate Sql Queries From Schema Only Ai Powered?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.convertToFile, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"P307QnrxpA1ddsM5\",\n \"meta\": {\n \"instanceId\": \"fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Generate SQL queries from schema only - AI-powered\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"b7c3ca47-11b3-4378-81fa-68b2f56b295e\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1460,\n 440\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {\n \"temperature\": 0.2\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"rveqdSfp7pCRON1T\",\n \"name\": \"Ted's Tech Talks OpenAi\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"977c3a82-440b-4d44-9042-47a673bcb52c\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1640,\n 440\n ],\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c6e9c0e2-d238-4f0b-a4c8-2271f2c8b31b\",\n \"name\": \"No Operation, do nothing\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 2340,\n 520\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"4c141ae8-d2d1-45c7-bb5d-f33841d3cee6\",\n \"name\": \"List all tables in a database\",\n \"type\": \"n8n-nodes-base.mySql\",\n \"position\": [\n 520,\n -35\n ],\n \"parameters\": {\n \"query\": \"SHOW TABLES;\",\n \"options\": {},\n \"operation\": \"executeQuery\"\n },\n \"credentials\": {\n \"mySql\": {\n \"id\": \"ICakJ1LRuVl4dRTs\",\n \"name\": \"db4free TTT account\"\n }\n },\n \"typeVersion\": 2.4\n },\n {\n \"id\": \"54fb3362-041b-4e4f-bfea-f0bc788d8dfd\",\n \"name\": \"Extract database schema\",\n \"type\": \"n8n-nodes-base.mySql\",\n \"position\": [\n 700,\n -35\n ],\n \"parameters\": {\n \"query\": \"DESCRIBE {{ $json.Tables_in_tttytdb2023 }};\",\n \"options\": {},\n \"operation\": \"executeQuery\"\n },\n \"credentials\": {\n \"mySql\": {\n \"id\": \"ICakJ1LRuVl4dRTs\",\n \"name\": \"db4free TTT account\"\n }\n },\n \"typeVersion\": 2.4\n },\n {\n \"id\": \"d55e841d-11ed-4ce2-8c8e-840bd807ff2c\",\n \"name\": \"Add table name to output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 880,\n -35\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"764176d6-3c89-404d-9c71-301e8a406a68\",\n \"name\": \"table\",\n \"type\": \"string\",\n \"value\": \"={{ $('List all tables in a database').item.json.Tables_in_tttytdb2023 }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ca8d30d6-c1f1-4e89-8cd5-ea3648dc3b0c\",\n \"name\": \"Convert data to binary\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"position\": [\n 1060,\n -35\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toJson\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"2d89f901-d4e7-4fea-bd69-20b518280bbc\",\n \"name\": \"Save file locally\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1220,\n -35\n ],\n \"parameters\": {\n \"options\": {},\n \"fileName\": \"./chinook_mysql.json\",\n \"operation\": \"write\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"04511c4f-44fa-4c23-87af-54d959e6cb2c\",\n \"name\": \"Extract data from file\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 920,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"fromJson\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"96f129c0-d1d4-4cbf-a24d-0b0cea18a229\",\n \"name\": \"Chat Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 440,\n 420\n ],\n \"webhookId\": \"c308dec7-655c-4b79-832e-991bd8ea891f\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"4d993ed9-3bbe-4bc3-9e5b-c3d738b0e714\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1480,\n 300\n ],\n \"parameters\": {\n \"text\": \"=Here is the database schema: {{ $json.schema }}\\nHere is the user request: {{ $('Chat Trigger').item.json.chatInput }}\",\n \"agent\": \"conversationalAgent\",\n \"options\": {\n \"humanMessage\": \"TOOLS\\n------\\nAssistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:\\n\\n{tools}\\n\\n{format_instructions}\\n\\nUSER'S INPUT\\n--------------------\\nHere is the user's input (remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else):\\n\\n{{input}}\",\n \"systemMessage\": \"Assistant is a large language model trained by OpenAI.\\n\\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\\n\\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\\n\\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.\\n\\nHelp user to work with the MySQL database.\\n\\nPlease wrap any sql commands into triple quotes. You don't have a tool to run SQL, so the user will do that instead of you.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"f5749b31-b28a-4341-b57f-94ee422d2873\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 320,\n -280\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 1065.0949045120822,\n \"height\": 466.4256045427794,\n \"content\": \"## Run this part only once\\nThis section:\\n* loads a list of all tables from the database hosted on [db4free](https://db4free.net/signup.php) \\n* extracts the database schema for each table and adds the table name\\n* converts the schema into a binary JSON format\\n* saves the schema `./chinook_mysql.json` file locally\\n\\n***Now you can use chat to \\\"talk\\\" to your data!*** 🎉\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6606abc9-1dcb-4dba-b7ef-e221f892eed8\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1040,\n -255\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 312.47220527158765,\n \"height\": 174.60585869504342,\n \"content\": \"## Pre-workflow setup \\nConnect to a free MySQL server and import your database. Follow Step 1 and 2 in this [tutorial](https://blog.n8n.io/compare-databases/) for more.\\n\\n*The Chinook data used in this workflow is available on [GitHub](https://github.com/msimanga/chinook/tree/master/mysql).* \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c8ac730a-04ee-499d-b845-1149967d6aa2\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 360,\n -35\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"6f0b167c-e012-43e1-9892-ded05be47cf8\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 324.32561050665913,\n 209.72072645338642\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 1062.678698911262,\n \"height\": 489.29614613074125,\n \"content\": \"## On every chat message:\\n\\n* The workflow gets the data from the local schema file and extracts it as a JSON object. This way, we achieve two important improvements:\\n * faster processing time as we don't need to fetch the schema for each table from a slow remote database\\n * the Agent will know database structure without seeing the actual data\\n* DB schema is then converted into a long string, JSON fields from the Chat Trigger are added before they are entered into the Agent node.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a79350c-aec1-4ad4-a2e0-679957fa420b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1400,\n -15.552780029374958\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 445.66588600071304,\n \"height\": 714.7896619176862,\n \"content\": \"### LangChain AI Agent's system prompt is modified.\\nIt uses only the database schema to generate SQL queries. The agent creates these queries but does not execute them. Instead, it passes them to subsequent nodes.\\n\\n**Example:**\\n\\\"Can you show me the list of all German customers?\\\" \\n\\nQueries are generated only when necessary; for some requests, a query may not be needed. This is because certain questions can be answered directly without SQL execution.\\n\\n**Example:**\\n\\\"Can you list me all tables?\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0cd425db-2a8e-4f48-b749-9a082e948395\",\n \"name\": \"Combine schema data and chat input\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1140,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"42abd24e-419a-47d6-bc8b-7146dd0b8314\",\n \"name\": \"sessionId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Chat Trigger').first().json.sessionId }}\"\n },\n {\n \"id\": \"39244192-a1a6-42fe-bc75-a6fba1f264df\",\n \"name\": \"action\",\n \"type\": \"string\",\n \"value\": \"={{ $('Chat Trigger').first().json.action }}\"\n },\n {\n \"id\": \"f78c57d9-df13-43c7-89a7-5387e528107e\",\n \"name\": \"chatinput\",\n \"type\": \"string\",\n \"value\": \"={{ $('Chat Trigger').first().json.chatInput }}\"\n },\n {\n \"id\": \"e42b39eb-dfbd-48d9-94ed-d658bdd41454\",\n \"name\": \"schema\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"e4045e33-bb87-488d-8ccf-b4a94339a841\",\n \"name\": \"Load the schema from the local file\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 680,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"./chinook_mysql.json\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"367ebe95-0b87-44f6-8392-33fe65446c24\",\n \"name\": \"Extract SQL query\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1900,\n 340\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ebbe194a-4b8b-44c9-ac19-03cf69d353bf\",\n \"name\": \"query\",\n \"type\": \"string\",\n \"value\": \"={{ ($json.output.match(/SELECT[\\\\s\\\\S]*?;/i) || [])[0] || \\\"\\\" }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"b856fe78-2435-4075-97f8-ecbeecf3e780\",\n \"name\": \"Check if query exists\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2060,\n 340\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"2963d04d-9d79-49f9-b52a-dc8732aca781\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.query }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"87162d31-2f6c-4f4a-af28-c65cbadd8ed5\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1874,\n 220.45316744685329\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 317.8901548206743,\n \"height\": 278.8174358200552,\n \"content\": \"## SQL query extraction\\nCheck if the agent's response contains an SQL query. If it does, we extract the query using a regular expression.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b3e77333-eaa9-4d23-a78c-8a19ae074739\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1860,\n -16.43746604251737\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 882.7611828369563,\n \"height\": 715.7029266156915,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"269ea79d-5f17-4764-aebb-bba31b43d8bb\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1580,\n 580\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 257.46308756569573,\n \"height\": 108.03673727584527,\n \"content\": \"The AI Agent remembers the schema, questions, and final answers, but not data values, since queries run externally. The agent can't access database content. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2fd1175c-4110-48be-b6bf-2251c678bc04\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n 0\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 308.8514666587585,\n \"height\": 123.43139661532095,\n \"content\": \"- The SQL node accesses the database and executes the query. The results are then formatted for readability.\\n- Both the chat response and the query result are displayed in the chat window.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"61ae7f7c-1424-4ecb-8a12-78cd98e94d45\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2480,\n 600\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 250.40895053328057,\n \"height\": 89.90186716520257,\n \"content\": \"When the agent responds without an SQL query, you receive an immediate answer with no additional processing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cbb6d1e1-0a75-4b3a-89cd-6bd545b8d414\",\n \"name\": \"Format query results\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2420,\n 140\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"f944d21f-6aac-4842-8926-4108d6cad4bf\",\n \"name\": \"sqloutput\",\n \"type\": \"string\",\n \"value\": \"={{ Object.keys($jmespath($input.all(),'[].json')[0]).join(' | ') }} \\n{{ ($jmespath($input.all(),'[].json')).map(obj => Object.values(obj).join(' | ')).join('\\\\n') }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d958de24-84ef-4928-a7f3-32cada09a0eb\",\n \"name\": \"Run SQL query\",\n \"type\": \"n8n-nodes-base.mySql\",\n \"position\": [\n 2260,\n 140\n ],\n \"parameters\": {\n \"query\": \"{{ $json.query }}\",\n \"options\": {},\n \"operation\": \"executeQuery\"\n },\n \"credentials\": {\n \"mySql\": {\n \"id\": \"ICakJ1LRuVl4dRTs\",\n \"name\": \"db4free TTT account\"\n }\n },\n \"typeVersion\": 2.4\n },\n {\n \"id\": \"99a6dc03-1035-4866-81e4-11dc66bf98ec\",\n \"name\": \"Prepare final output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2560,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"aa55e186-1535-4923-aee4-e088ca69575b\",\n \"name\": \"output\",\n \"type\": \"string\",\n \"value\": \"={{ $json.output }}\\n\\nSQL result:\\n```markdown\\n{{ $json.sqloutput }}\\n```\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9380c2f6-15d9-43e4-80a2-3019bcf5ae04\",\n \"name\": \"Combine query result and chat answer\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 2340,\n 340\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"15049b13-91cb-46bd-a7a0-ad648b6f667a\",\n \"connections\": {\n \"AI Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Extract SQL query\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Load the schema from the local file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Run SQL query\": {\n \"main\": [\n [\n {\n \"node\": \"Format query results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract SQL query\": {\n \"main\": [\n [\n {\n \"node\": \"Check if query exists\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Format query results\": {\n \"main\": [\n [\n {\n \"node\": \"Combine query result and chat answer\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Check if query exists\": {\n \"main\": [\n [\n {\n \"node\": \"Run SQL query\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Combine query result and chat answer\",\n \"type\": \"main\",\n \"index\": 1\n }\n ],\n [\n {\n \"node\": \"No Operation, do nothing\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert data to binary\": {\n \"main\": [\n [\n {\n \"node\": \"Save file locally\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract data from file\": {\n \"main\": [\n [\n {\n \"node\": \"Combine schema data and chat input\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract database schema\": {\n \"main\": [\n [\n {\n \"node\": \"Add table name to output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Add table name to output\": {\n \"main\": [\n [\n {\n \"node\": \"Convert data to binary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"List all tables in a database\": {\n \"main\": [\n [\n {\n \"node\": \"Extract database schema\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"List all tables in a database\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine schema data and chat input\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Load the schema from the local file\": {\n \"main\": [\n [\n {\n \"node\": \"Extract data from file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine query result and chat answer\": {\n \"main\": [\n [\n {\n \"node\": \"Prepare final output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Generate SQL queries from schema only - AI-powered", "node_count": 29, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 8\n- Node Types: n8n-nodes-base.mongoDbTool, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"22PddLUgcjSJbT1w\",\n \"meta\": {\n \"instanceId\": \"fa7d5e2425ec76075df7100dbafffed91cc6f71f12fe92614bf78af63c54a61d\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"MongoDB Agent\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"d8c07efe-eca0-48cb-80e6-ea8117073c5f\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1300,\n 560\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"TreGPMKr9hrtCvVp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"636de178-7b68-429a-9371-41cf2a950076\",\n \"name\": \"MongoDBAggregate\",\n \"type\": \"n8n-nodes-base.mongoDbTool\",\n \"position\": [\n 1640,\n 540\n ],\n \"parameters\": {\n \"query\": \"={{ $fromAI(\\\"pipeline\\\", \\\"The MongoDB pipeline to execute\\\" , \\\"string\\\" , [{\\\"$match\\\" : { \\\"rating\\\" : 5 } }])}}\",\n \"operation\": \"aggregate\",\n \"collection\": \"movies\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get from AI the MongoDB Aggregation pipeline to get context based on the provided pipeline, the document structure of the documents is : {\\n \\\"plot\\\": \\\"A group of bandits stage a brazen train hold-up, only to find a determined posse hot on their heels.\\\",\\n \\\"genres\\\": [\\n \\\"Short\\\",\\n \\\"Western\\\"\\n ],\\n \\\"runtime\\\": 11,\\n \\\"cast\\\": [\\n \\\"A.C. Abadie\\\",\\n \\\"Gilbert M. 'Broncho Billy' Anderson\\\",\\n ...\\n ],\\n \\\"poster\\\": \\\"...jpg\\\",\\n \\\"title\\\": \\\"The Great Train Robbery\\\",\\n \\\"fullplot\\\": \\\"Among the earliest existing films in American cinema - notable as the ...\\\",\\n \\\"languages\\\": [\\n \\\"English\\\"\\n ],\\n \\\"released\\\": \\\"date\\\"\\n },\\n \\\"directors\\\": [\\n \\\"Edwin S. Porter\\\"\\n ],\\n \\\"rated\\\": \\\"TV-G\\\",\\n \\\"awards\\\": {\\n \\\"wins\\\": 1,\\n \\\"nominations\\\": 0,\\n \\\"text\\\": \\\"1 win.\\\"\\n },\\n \\\"lastupdated\\\": \\\"2015-08-13 00:27:59.177000000\\\",\\n \\\"year\\\": 1903,\\n \\\"imdb\\\": {\\n \\\"rating\\\": 7.4,\"\n },\n \"credentials\": {\n \"mongoDb\": {\n \"id\": \"8xGgiXzf2o0L4a0y\",\n \"name\": \"MongoDB account\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"e0f248dc-22b7-40a2-a00e-6298b51e4470\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1500,\n 540\n ],\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"da27ee52-43db-4818-9844-3c0a064bf958\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 1160,\n 400\n ],\n \"webhookId\": \"0730df2d-2f90-45e0-83dc-609668260fda\",\n \"parameters\": {\n \"mode\": \"webhook\",\n \"public\": true,\n \"options\": {\n \"allowedOrigins\": \"*\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"9ad79da9-3145-44be-9026-e37b0e856f5d\",\n \"name\": \"insertFavorite\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1860,\n 520\n ],\n \"parameters\": {\n \"name\": \"insertFavorites\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"6QuKnOrpusQVu66Q\",\n \"cachedResultName\": \"insertMongoDB\"\n },\n \"description\": \"=Use this tool only to add favorites with the structure of {\\\"title\\\" : \\\"recieved title\\\" }\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"4d7713d1-d2ad-48bf-971b-b86195e161ca\",\n \"name\": \"AI Agent - Movie Recommendation\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1380,\n 300\n ],\n \"parameters\": {\n \"text\": \"=Assistant for best movies context, you have tools to search using \\\"MongoDBAggregate\\\" and you need to provide a MongoDB aggregation pipeline code array as a \\\"query\\\" input param. User input and request: {{ $json.chatInput }}. Only when a user confirms a favorite movie use the insert favorite using the \\\"insertFavorite\\\" workflow tool of to insertFavorite as { \\\"title\\\" : \\\"\\\" }.\",\n \"options\": {},\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"2eac8aed-9677-4d89-bd76-456637f5b979\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 880,\n 300\n ],\n \"parameters\": {\n \"width\": 216.0875923062025,\n \"height\": 499.89779507612025,\n \"content\": \"## AI Agent powered by OpenAI and MongoDB \\n\\nThis flow is designed to work as an AI autonomous agent that can get chat messages, query data from MongoDB using the aggregation framework.\\n\\nFollowing by augmenting the results from the sample movies collection and allowing storing my favorite movies back to the database using an \\\"insert\\\" flow. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d8130fe-4aed-4e09-9c1d-60fb9ac1a500\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1300,\n 720\n ],\n \"parameters\": {\n \"content\": \"## Process\\n\\nThe message is being processed by the \\\"Chat Model\\\" and the correct tool is used according to the message. \"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"879aab24-6346-435f-8fd4-3fca856ba64c\",\n \"connections\": {\n \"insertFavorite\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"MongoDBAggregate\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "MongoDB Agent", "node_count": 8, "category": "General Automation"}}
{"prompt": "How would you build: Supabase Insertion & Upsertion & Retrieval?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 21\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.supabase, @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.retrieverVectorStore\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"1a23006df50de49624f69e85993be557d137b6efe723a867a7d68a84e0b32704\"\n },\n \"nodes\": [\n {\n \"id\": \"54065cc9-047c-4741-95f6-cec3e352abd7\",\n \"name\": \"Google Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n 2700,\n -1840\n ],\n \"parameters\": {\n \"fileId\": {\n \"__rl\": true,\n \"mode\": \"url\",\n \"value\": \"https://drive.google.com/file/d/xxxxxxxxxxxxxxx/view\"\n },\n \"options\": {},\n \"operation\": \"download\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"62af57f5-a001-4174-bece-260a1fc595e8\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 3120,\n -1620\n ],\n \"parameters\": {\n \"loader\": \"epubLoader\",\n \"options\": {},\n \"dataType\": \"binary\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ce3d9c7c-6ce9-421a-b4d0-4235217cf8e6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2620,\n -2000\n ],\n \"parameters\": {\n \"width\": 749.1276349295781,\n \"height\": 820.5109034066329,\n \"content\": \"# INSERTING\\n\\n- it's important to use the same embedding model when for any interaction with your vector database (inserting, upserting and retrieval)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"81cb3d3e-70af-46c8-bc18-3d076a222d0b\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1720,\n -1160\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 873.9739981925188,\n \"height\": 534.0012007720542,\n \"content\": \"# UPSERTING\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"60ebdb71-c7e0-429b-9394-b680cc000951\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1720,\n -2000\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 876.5116990000852,\n \"height\": 821.787041589866,\n \"content\": \"# PREPARATION (in Supabase)\\n\\n- your database needs the extension 'pgvector' enabled -> select Database > Extension > Search for 'vector'\\n- make sure you have a table that has the following columns (if not, use the query below in the Supabase SQL Editor)\\n\\n```\\nALTER TABLE \\\"YOUR TABLE NAME\\\"\\nADD COLUMN embedding VECTOR(1536), // check which number of dimensions you need (depends on the embed model)\\nADD COLUMN metadata JSONB,\\nADD COLUMN content TEXT;\\n```\\n\\n- make sure you have the right policies set -> select Authentication > Policies\\n- make sure you have the custom function `match_documents` set up in Supabase -> This is needed for the Vector Store Node (as query name) \\n(if not, use the query below in the Supabase SQL Editor to create that function)\\n- make sure you check the size of the AI model as it should be the same vector size for the table \\n(e.g. OpenAI's Text-Embedding-3-Small uses 1536)\\n\\n```\\nCREATE OR REPLACE FUNCTION public.match_documents(\\n filter JSONB,\\n match_count INT,\\n query_embedding VECTOR(1536) // should match same dimensions as from insertion\\n)\\nRETURNS TABLE (\\n id BIGINT,\\n content TEXT,\\n metadata JSONB,\\n embedding VECTOR(1536), // should match same dimensions as from insertion\\n similarity FLOAT\\n)\\nLANGUAGE plpgsql AS $$\\nBEGIN\\n RETURN QUERY\\n SELECT\\n v.id,\\n v.content,\\n v.metadata,\\n v.embedding,\\n 1 - (v.embedding <=> match_documents.query_embedding) AS similarity\\n FROM \\\"YOUR TABLE NAME\\\" v\\n WHERE v.metadata @> filter\\n ORDER BY v.embedding <=> match_documents.query_embedding\\n LIMIT match_count;\\nEND;\\n$$\\n;\\n```\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ae95b0c3-b8b3-44eb-8070-b1bc6cac5cd2\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3400,\n -2000\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 810.9488123113013,\n \"height\": 821.9537074055816,\n \"content\": \"# RETRIEVAL\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"58168721-cbd7-498c-9d16-41b4d5c6a68f\",\n \"name\": \"Question and Answer Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainRetrievalQa\",\n \"position\": [\n 3680,\n -1860\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"ddf1228f-f051-445b-8a42-54c2510a0b2e\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 3600,\n -1680\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"734a2c48-b445-4e62-99b7-dc1dcd921c52\",\n \"name\": \"Vector Store Retriever\",\n \"type\": \"@n8n/n8n-nodes-langchain.retrieverVectorStore\",\n \"position\": [\n 3760,\n -1680\n ],\n \"parameters\": {\n \"topK\": 10\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"43f761b7-f4da-4b29-8099-9b2c15f79fe9\",\n \"name\": \"Recursive Character Text Splitter1\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 3120,\n -1460\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"de0d2666-88e4-4a4d-ba46-cf789b9cba85\",\n \"name\": \"Customize Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"notes\": \"output || text\",\n \"position\": [\n 4020,\n -1860\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"440fc115-ccae-4e30-85a5-501d0617b2cf\",\n \"name\": \"output\",\n \"type\": \"string\",\n \"value\": \"={{ $json.response.text }}\"\n }\n ]\n }\n },\n \"notesInFlow\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"a396671f-a217-4f05-b969-cb64f10e4b01\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 3480,\n -1860\n ],\n \"webhookId\": \"d7431c58-89aa-4d70-b5bd-044be981b3a9\",\n \"parameters\": {\n \"public\": true,\n \"options\": {\n \"responseMode\": \"lastNode\"\n },\n \"initialMessages\": \"=Hi there! 🙏\\n\\nYou can ask me anything about Venerable Geshe Kelsang Gyatso's Book - 'How To Transform Your Life'\\n\\nWhat would you like to know? \"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"6312f6bc-c69c-4d4f-8838-8a9d0d22ed55\",\n \"name\": \"Retrieve by Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"position\": [\n 3700,\n -1520\n ],\n \"parameters\": {\n \"options\": {\n \"queryName\": \"match_documents\"\n },\n \"tableName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"Kadampa\",\n \"cachedResultName\": \"Kadampa\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba6b87b9-e96d-47a3-83f8-169d7172325a\",\n \"name\": \"Embeddings OpenAI Retrieval\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 3700,\n -1360\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bcd1b31f-c60b-4c40-b039-d47dadc86b23\",\n \"name\": \"Embeddings OpenAI Insertion\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 2920,\n -1620\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"dfd7f734-eb00-4af3-9179-724503422fe4\",\n \"name\": \"Placeholder (File/Content to Upsert)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1900,\n -1000\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={\\n \\\"Date\\\": \\\"{{ $now.format('dd MMM yyyy') }}\\\",\\n \\\"Time\\\": \\\"{{ $now.format('HH:mm ZZZZ z') }}\\\"\\n}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"c54c9458-9b8a-4ef1-a6db-5265729be19d\",\n \"name\": \"Embeddings OpenAI Upserting\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 2120,\n -840\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"30c18e9e-d047-40d3-8324-f5d0e7892db6\",\n \"name\": \"Insert Documents\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"position\": [\n 2920,\n -1840\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"tableName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"Kadampa\",\n \"cachedResultName\": \"Kadampa\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3c0ed0ee-9134-4b4e-bcfd-632dd67a57da\",\n \"name\": \"Retrieve Rows from Table\",\n \"type\": \"n8n-nodes-base.supabase\",\n \"position\": [\n 3960,\n -1380\n ],\n \"parameters\": {\n \"tableId\": \"n8n\",\n \"operation\": \"getAll\",\n \"returnAll\": true\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"53aca1b4-31e8-4699-b158-673623bc9b95\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2620,\n -1160\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 1587.0771183771394,\n \"height\": 537.3056597675153,\n \"content\": \"# DELETION\\n\\nAt the moment n8n does not have a built-in Supabase Node to delete records in a Vector Database. For this you would typically use the HTTP Request node to make an authorized API call to Supabase. \\n\\n## HTTP Request Node\\n\\nUse this node to send a DELETE request to your Supabase instance.\\n\\n- Supabase API Endpoint: Use the appropriate URL for your Supabase project. The endpoint will typically look like this: [https://<your-supabase-ref>.supabase.co/rest/v1/<your-vector-table>](https://supabase.com/docs/guides/api). Replace `<your-supabase-ref>` and `<your-vector-table>` with your details.\\n### HEADERS:\\n- apikey: Your Supabase API key.\\n- Authorization: Bearer token with your Supabase JWT.\\n- Query Parameters: Use query parameters to specify which record(s) to delete. For example, `?id=eq.<your-record-id>` where `<your-record-id>` is the specific record ID you want to delete \\n(You can also reference back to the **Retrieve Rows From Table** Node to get the ID dynamically)\\n\\nEnsure you have the necessary permissions set up in Supabase to delete records through the API.\\n\\nPlease refer to the official n8n documentation for more detailed information on using the [HTTP Request Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/).\\n\\n_Note:_ Deleting records is a sensitive operation, so make sure that your permissions are correctly configured and that you are targeting the correct records to avoid unwanted data loss.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4ffaccdb-9e0f-464d-9284-7771f6599fd8\",\n \"name\": \"Update Documents\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"position\": [\n 2100,\n -1000\n ],\n \"parameters\": {\n \"id\": \"1\",\n \"mode\": \"update\",\n \"options\": {\n \"queryName\": \"match_documents\"\n },\n \"tableName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n\",\n \"cachedResultName\": \"n8n\"\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Insert Documents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve by Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Retriever\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Insert Documents\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Retriever\": {\n \"ai_retriever\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_retriever\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Question and Answer Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Customize Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI Insertion\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert Documents\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI Retrieval\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Retrieve by Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI Upserting\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Update Documents\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter1\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Placeholder (File/Content to Upsert)\": {\n \"main\": [\n [\n {\n \"node\": \"Update Documents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Supabase Insertion & Upsertion & Retrieval", "node_count": 21, "category": "Data Processing + Database"}}
{"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow to sql agent with memory", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 13\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.compression, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.readWriteFile\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"AQJ6QnF2yVdCWMnx\",\n \"meta\": {\n \"instanceId\": \"fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"SQL agent with memory\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"3544950e-4d8e-46ca-8f56-61c152a5cae3\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1220,\n 500\n ],\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"743cc4e7-5f24-4adc-b872-7241ee775bd0\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1000,\n 500\n ],\n \"parameters\": {\n \"model\": \"gpt-4-turbo\",\n \"options\": {\n \"temperature\": 0.3\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"rveqdSfp7pCRON1T\",\n \"name\": \"Ted's Tech Talks OpenAi\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cc30066c-ad2c-4729-82c1-a6b0f4214dee\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 500,\n -80\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0deacd0d-45cb-4738-8da0-9d1251858867\",\n \"name\": \"Get chinook.zip example\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 700,\n -80\n ],\n \"parameters\": {\n \"url\": \"https://www.sqlitetutorial.net/wp-content/uploads/2018/03/chinook.zip\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"61f34708-f8ed-44a9-8522-6042d28511ae\",\n \"name\": \"Extract zip file\",\n \"type\": \"n8n-nodes-base.compression\",\n \"position\": [\n 900,\n -80\n ],\n \"parameters\": {},\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"6a12d9ac-f1b7-4267-8b34-58cdb9d347bb\",\n \"name\": \"Save chinook.db locally\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1100,\n -80\n ],\n \"parameters\": {\n \"options\": {},\n \"fileName\": \"./chinook.db\",\n \"operation\": \"write\",\n \"dataPropertyName\": \"file_0\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"701d1325-4186-4185-886a-3738163db603\",\n \"name\": \"Load local chinook.db\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 620,\n 360\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"./chinook.db\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d7b3813d-8180-4ff1-87a4-bd54a03043af\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 440,\n -280.9454545454546\n ],\n \"parameters\": {\n \"width\": 834.3272727272731,\n \"height\": 372.9454545454546,\n \"content\": \"## Run this part only once\\nThis section:\\n* downloads the example zip file from https://www.sqlitetutorial.net/sqlite-sample-database/\\n* extracts the archive (it contains only a single file)\\n* saves the extracted `chinook.db` SQLite database locally\\n\\nNow you can use chat to \\\"talk\\\" to your data!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6bd25563-2c59-44c2-acf9-407bd28a15cf\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 400,\n 240\n ],\n \"parameters\": {\n \"width\": 558.5454545454544,\n \"height\": 297.89090909090913,\n \"content\": \"## On every chat message:\\n* the local SQLite database is loaded\\n* JSON from Chat Trigger is combined with SQLite binary data\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2be63956-236e-46f7-b8e4-0f55e2e25a5c\",\n \"name\": \"Combine chat input with the binary\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 820,\n 360\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {\n \"includeBinary\": true\n },\n \"jsonOutput\": \"={{ $('Chat Trigger').item.json }}\\n\"\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"7f4c9adb-eab4-40d7-ad2e-44f2c0e3e30a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 980,\n 120\n ],\n \"parameters\": {\n \"width\": 471.99692219161466,\n \"height\": 511.16641410437836,\n \"content\": \"### LangChain SQL Agent can make several queries before producing the final answer.\\nTry these examples:\\n1. \\\"Please describe the database\\\". This input usually requires just 1 query + an extra observation to produce a final answer.\\n2. \\\"What are the revenues by genre?\\\". This input will launch a series of Agent actions, because it needs to make several queries.\\n\\nThe final answer is stored in the memory and will be recalled on the next input from the user.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ac819eb5-13b2-4280-b9d6-06ec1209700e\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1020,\n 360\n ],\n \"parameters\": {\n \"agent\": \"sqlAgent\",\n \"options\": {},\n \"dataSource\": \"sqlite\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"5ecaa3eb-e93e-4e41-bbc0-98a8c2b2d463\",\n \"name\": \"Chat Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 420,\n 360\n ],\n \"webhookId\": \"fb565f08-a459-4ff9-8249-1ede58599660\",\n \"parameters\": {},\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"fbc06ddd-dbd8-49ee-bbee-2f495d5651a2\",\n \"connections\": {\n \"Chat Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Load local chinook.db\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract zip file\": {\n \"main\": [\n [\n {\n \"node\": \"Save chinook.db locally\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Load local chinook.db\": {\n \"main\": [\n [\n {\n \"node\": \"Combine chat input with the binary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get chinook.zip example\": {\n \"main\": [\n [\n {\n \"node\": \"Extract zip file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Get chinook.zip example\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine chat input with the binary\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "SQL agent with memory", "node_count": 13, "category": "General Automation"}}
{"prompt": "How would you build: Discord Ai Bot?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 9\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.switch, n8n-nodes-base.manualTrigger, n8n-nodes-base.webhook, n8n-nodes-base.discord, n8n-nodes-base.noOp, n8n-nodes-base.openAi\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"180\",\n \"meta\": {\n \"instanceId\": \"fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a\"\n },\n \"name\": \"Discord AI bot\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6f188270-2c08-491f-bf52-c4a152b33aa0\",\n \"name\": \"When clicking \\\"Execute Workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 1220,\n 780\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e4839de2-fc04-40b0-b6bc-596455ad93fe\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 1220,\n 580\n ],\n \"webhookId\": \"d0cdd428-be96-4821-85bc-65342cf928d0\",\n \"parameters\": {\n \"path\": \"d0cdd428-be96-4821-85bc-65342cf928d0\",\n \"options\": {},\n \"httpMethod\": \"POST\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"15dcafe1-6361-4775-ace0-e34fd2a143b4\",\n \"name\": \"No Operation, do nothing\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 2120,\n 940\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0d28fe8e-da80-458b-9a75-d316019cb3ae\",\n \"name\": \"Analyze user request\",\n \"type\": \"n8n-nodes-base.openAi\",\n \"position\": [\n 1420,\n 680\n ],\n \"parameters\": {\n \"model\": \"gpt-4\",\n \"prompt\": {\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Act as a service desk agent and help to categorize user messages. Return back only JSON without quotations. Do not return anything else.\"\n },\n {\n \"content\": \"=Here is a user feedback: \\\"{{ $json.body.feedback }}\\\". Please analyse it and put into one of the categories:\\n1. \\\"success-story\\\" for user appraisal or success story. this will be processed by customer success department\\n2. \\\"urgent-issue\\\" for extreme dissatisfaction or an urgent problem. this will be escalated to the IT team. Please assess if the request is really urgent and whether it has an immediate impact on the client. If the ticket doesn't look like an immediate problem or an extreme dissatisfaction then proceed as a normal ticket.\\n3. \\\"ticket\\\" for everything else. This will be processed as normal by customer support team.\\n\\nPlease return back a JSON with the following structure: category (string), feedback (string), instruction (string).\\nCategory must match the analysed category. feedback must match the original text. instruction should contain a text for a department according to the category with a one sentense summary of the feedback. Please be polite and friendly to the colleagues.\"\n }\n ]\n },\n \"options\": {\n \"maxTokens\": 500,\n \"temperature\": 0.5\n },\n \"resource\": \"chat\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"63\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ce1c4198-ce21-4436-9ccb-4a2a078cd06e\",\n \"name\": \"Select category\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1840,\n 680\n ],\n \"parameters\": {\n \"rules\": {\n \"rules\": [\n {\n \"value2\": \"success-story\"\n },\n {\n \"output\": 1,\n \"value2\": \"urgent-issue\"\n },\n {\n \"output\": 2,\n \"value2\": \"ticket\"\n }\n ]\n },\n \"value1\": \"={{ $json.gpt_reply.category.toLowerCase() }}\",\n \"dataType\": \"string\",\n \"fallbackOutput\": 3\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"839cc38d-b393-4fc1-a068-47a8fcf55e3f\",\n \"name\": \"Parse JSON\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1640,\n 680\n ],\n \"parameters\": {\n \"values\": {\n \"string\": [\n {\n \"name\": \"gpt_reply\",\n \"value\": \"={{ JSON.parse( $json.message.content.replace(/\\\\n(?=[^\\\"]*\\\"(?:[^\\\"]*\\\"[^\\\"]*\\\")*[^\\\"]*$)/g, '\\\\\\\\n')) }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"4c150439-89af-42bd-bbdc-905d13ada76b\",\n \"name\": \"User Success Dept\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2120,\n 460\n ],\n \"parameters\": {\n \"text\": \"={{ $json.gpt_reply.instruction }}\",\n \"options\": {},\n \"webhookUri\": \"https://discord.com/api/webhooks/<YOUR WEBHOOK HERE>\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9a5e5335-9e6c-4f1f-a0f0-b1b022956549\",\n \"name\": \"IT Dept\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2120,\n 620\n ],\n \"parameters\": {\n \"text\": \"={{ $json.gpt_reply.instruction }}\",\n \"options\": {},\n \"webhookUri\": \"https://discord.com/api/webhooks/<YOUR WEBHOOK HERE>\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d6d6250a-3a24-49f1-a597-47ebc179949c\",\n \"name\": \"Helpdesk\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2120,\n 780\n ],\n \"parameters\": {\n \"text\": \"={{ $json.gpt_reply.instruction }}\",\n \"options\": {},\n \"webhookUri\": \"https://discord.com/api/webhooks/<YOUR WEBHOOK HERE>\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"callerPolicy\": \"workflowsFromSameOwner\",\n \"saveManualExecutions\": true,\n \"saveDataSuccessExecution\": \"all\"\n },\n \"versionId\": \"8871171e-7e18-49ee-a570-facbe97afb79\",\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze user request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse JSON\": {\n \"main\": [\n [\n {\n \"node\": \"Select category\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select category\": {\n \"main\": [\n [\n {\n \"node\": \"User Success Dept\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"IT Dept\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Helpdesk\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"No Operation, do nothing\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze user request\": {\n \"main\": [\n [\n {\n \"node\": \"Parse JSON\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Execute Workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze user request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Discord AI bot", "node_count": 9, "category": "General Automation"}}
{"prompt": "Show me an n8n workflow for send daily translated calvin and hobbes comics to discord", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 8\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.discord, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.informationExtractor\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"4bf26356-9c59-4cee-8eb8-8553b23a172f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 560,\n -120\n ],\n \"parameters\": {\n \"width\": 660,\n \"height\": 460,\n \"content\": \"\\n# Daily Cartoon (w/ AI Translate)\\n\\n### How it works\\n- Automates the retrieval of Calvin and Hobbes daily comics.\\n- Extracts the comic image URL from the website.\\n- Translates comic dialogues to English and Korean(Other Language)\\n- Posts the comic and translations to Discord daily.\\n\\n### Set up steps\\n- Estimated setup time: ~10-15 minutes.\\n- Use a **Schedule Trigger** to automate the workflow at 9 AM daily.\\n- Add nodes for parameter setup, HTTP request, data extraction, and integration with Discord.\\n- Add detailed notes to each node in the workflow for easy understanding.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52d19472-41b4-4d71-874e-064ef9d6f248\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 620,\n 380\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"triggerAtHour\": 9\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"bcc15f37-c048-4d9a-83cd-367856470095\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1620,\n 380\n ],\n \"parameters\": {\n \"text\": \"Please write the original language and Korean together. \\n\\nEXAMPLE)\\nCalvin: \\\"YOU'VE NEVER HAD AN OBLIGATION, AN ASSIGNMENT, OR A DEADLINE IN ALL YOUR LIFE! YOU HAVE NO RESPONSIBILITIES AT ALL! IT MUST BE NICE!\\\" (너는 평생 한 번도 의무, 과제, 혹은 마감일 없었잖아! 전혀 책임이 없다니! 정말 좋겠다!)\\nHobbes: \\\"WIPE THAT INSOLENT SMIRK OFF YOUR FACE!\\\" (그 뻔뻔한 미소를 그만 지어!)\\n\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $json.output.cartoon_image }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"kYIZ8ZwQHS2d4GiD\",\n \"name\": \"(datapopcorn )OpenAi account\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"35004d43-4061-476a-9af6-7d0b82ae86bd\",\n \"name\": \"param\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 840,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"59d36aef-2991-4fd2-9fbe-dad9a701b40f\",\n \"name\": \"year\",\n \"type\": \"string\",\n \"value\": \"={{ $now.format('yyyy') }}\"\n },\n {\n \"id\": \"b6b329f2-ba08-4516-bdb9-c5d124c02110\",\n \"name\": \"month\",\n \"type\": \"string\",\n \"value\": \"={{ $now.format('MM') }}\"\n },\n {\n \"id\": \"3cba75d1-a281-4e14-9bf7-e0bc0cc7c768\",\n \"name\": \"day\",\n \"type\": \"string\",\n \"value\": \"={{ $now.format('dd') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"cf2c953f-1ff2-4abc-8abd-95e05603e64a\",\n \"name\": \"Discord\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 1840,\n 380\n ],\n \"parameters\": {\n \"content\": \"=Daily Cartoon ({{ $('param').item.json.year }}/{{ $('param').item.json.month }}/{{ $('param').item.json.day }})\\n{{ $('Information Extractor').item.json.output.cartoon_image }}\\n\\n{{ $json.content }}\\n\",\n \"options\": {},\n \"authentication\": \"webhook\"\n },\n \"credentials\": {\n \"discordWebhookApi\": {\n \"id\": \"w82RWS7nmXLKDczt\",\n \"name\": \"n8n test webhook\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"5eec9870-a509-4090-a540-76b22bb3eac9\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1260,\n 560\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"kYIZ8ZwQHS2d4GiD\",\n \"name\": \"(datapopcorn )OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"352db81e-7571-47cb-b028-dec18e15ccce\",\n \"name\": \"Information Extractor\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 1260,\n 380\n ],\n \"parameters\": {\n \"text\": \"=Please just extract the src value in the <img class=\\\"img-fluid Lazyloaded\\\"> tag from HTML below. I don't need anything other than the value.\\n\\ne.g.)\\nEXAMPLE INPUT)\\n<img class=\\\"img-fluid lazyloaded\\\" srcset=\\\"https://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d 900w\\\" data-srcset=\\\"https://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d 900w\\\" sizes=\\\"\\n (min-width: 992px) 900px,\\n (min-width: 768px) 600px,\\n (min-width: 576px) 300px,\\n 900px\\\" width=\\\"100%\\\" alt=\\\"Calvin and Hobbes Comic Strip for March 03, 2023 \\\" src=\\\"https://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d\\\">\\n\\n\\nEXAMPLE OUTPUT)\\nhttps://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d\\n\\n--\\n(INPUT)\\n{{ $json.data }}\",\n \"options\": {},\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"cartoon_image\",\n \"description\": \"EXAMPLE OUTPUT) https://assets.amuniversal.com/***\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"517799ed-559c-4d17-b8aa-58bd4ee92ed3\",\n \"name\": \"HTTP Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1040,\n 380\n ],\n \"parameters\": {\n \"url\": \"=https://www.gocomics.com/calvinandhobbes/{{ $json.year }}/{{ $json.month }}/{{ $json.day }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"param\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Discord\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"param\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Send daily translated Calvin and Hobbes Comics to Discord", "node_count": 8, "category": "General Automation"}}
{"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 8\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.rssFeedReadTrigger, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.extractFromFile, n8n-nodes-base.discord, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.rssFeedReadTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"LF8gz3iz74u45a5i\",\n \"meta\": {\n \"instanceId\": \"889f0d7d968f3b02a88433e2529a399907d2ca89e329934b608193beaa2301f8\"\n },\n \"name\": \"YouTube Videos with AI Summaries on Discord\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"48c87027-7eea-40b9-a73c-4e002b748783\",\n \"name\": \"YouTube Video Trigger\",\n \"type\": \"n8n-nodes-base.rssFeedReadTrigger\",\n \"position\": [\n 560,\n 220\n ],\n \"parameters\": {\n \"feedUrl\": \"https://www.youtube.com/feeds/videos.xml?channel_id=UC08Fah8EIryeOZRkjBRohcQ\",\n \"pollTimes\": {\n \"item\": [\n {\n \"mode\": \"everyMinute\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"56166228-b365-4043-b48c-098b4de71f6f\",\n \"name\": \"Retrieve Caption Data\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 780,\n 220\n ],\n \"parameters\": {\n \"url\": \"https://www.googleapis.com/youtube/v3/captions\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"videoId\",\n \"value\": \"={{ $json.id.match(/(?:[^:]*:){2}\\\\s*(.*)/)[1] }}\"\n },\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n }\n ]\n },\n \"nodeCredentialType\": \"youTubeOAuth2Api\"\n },\n \"credentials\": {\n \"youTubeOAuth2Api\": {\n \"id\": \"uy3xy1Ks2ATwRGr4\",\n \"name\": \"Creator Magic - YouTube account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c029ac6f-3071-4045-83f6-2dede0c1f358\",\n \"name\": \"Download Captions\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1220,\n 220\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/captions/{{ $json.caption.id }}\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"youTubeOAuth2Api\"\n },\n \"credentials\": {\n \"youTubeOAuth2Api\": {\n \"id\": \"uy3xy1Ks2ATwRGr4\",\n \"name\": \"Creator Magic - YouTube account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8b45dc14-f10f-4b50-8ca6-a9d0ccfee4dc\",\n \"name\": \"Caption File Conversion\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 1440,\n 220\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"text\",\n \"destinationKey\": \"content\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6527adb4-9087-40eb-b63a-8c4cdf5d0a40\",\n \"name\": \"Caption Summary with ChatGPT\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1660,\n 220\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-3.5-turbo\",\n \"cachedResultName\": \"GPT-3.5-TURBO\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Summarise this transcript into three bullet points to sum up what the video is about and why someone should watch it: {{ $json[\\\"content\\\"] }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"QpdCHVaJVRd9NNYl\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"2c83f230-bc37-4efb-9ee9-842bcefa0ef4\",\n \"name\": \"Post to Discord\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2000,\n 220\n ],\n \"parameters\": {\n \"content\": \"=🌟 New Video Alert! 🌟\\n\\n**{{ $('YouTube Video Trigger').item.json[\\\"title\\\"] }}**\\n\\n*What’s it about?*\\n\\n{{ $json[\\\"message\\\"][\\\"content\\\"] }}\\n\\n[Watch NOW]({{ $('YouTube Video Trigger').item.json[\\\"link\\\"] }}) and remember to share your thoughts!\",\n \"options\": {},\n \"authentication\": \"webhook\"\n },\n \"credentials\": {\n \"discordWebhookApi\": {\n \"id\": \"QQxpAIskycvb8fIE\",\n \"name\": \"Discord Webhook account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"8408887e-1d89-402c-b350-93d5f96f4dea\",\n \"name\": \"Find English Captions\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1000,\n 220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"eaf7dcb5-91cf-4405-917b-38845f0ef78d\",\n \"name\": \"caption\",\n \"type\": \"object\",\n \"value\": \"={{ $jmespath( $json.items, \\\"[?snippet.language == 'en'] | [0]\\\" ) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"71cc0977-1695-4797-9df2-b0a98e41d3de\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n -20\n ],\n \"parameters\": {\n \"width\": 448.11859838274916,\n \"height\": 417.2722371967648,\n \"content\": \"### Summarise Your YouTube Videos with AI for Discord\\n\\n📽️ [Watch the Video Tutorial](https://mrc.fm/ai2d)\\n\\n* Add your [YouTube channel ID](https://www.youtube.com/account_advanced) to the URL in the first node: `https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID`.\\n\\n* Ensure authorization with the YouTube channel that you want to download captions from.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"e8fc6758-02ef-4b65-8ab5-474bd8e3862a\",\n \"connections\": {\n \"Download Captions\": {\n \"main\": [\n [\n {\n \"node\": \"Caption File Conversion\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Find English Captions\": {\n \"main\": [\n [\n {\n \"node\": \"Download Captions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve Caption Data\": {\n \"main\": [\n [\n {\n \"node\": \"Find English Captions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"YouTube Video Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve Caption Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Caption File Conversion\": {\n \"main\": [\n [\n {\n \"node\": \"Caption Summary with ChatGPT\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Caption Summary with ChatGPT\": {\n \"main\": [\n [\n {\n \"node\": \"Post to Discord\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "YouTube Videos with AI Summaries on Discord", "node_count": 8, "category": "General Automation"}}
{"prompt": "How would you build: Conversational Interviews With Ai Agents And N8N Forms?", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 40\n- Node Types: n8n-nodes-base.form, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, n8n-nodes-base.crypto, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.splitOut, n8n-nodes-base.html, n8n-nodes-base.if, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"d73e5113-119f-4e62-9872-48e6a971d760\",\n \"name\": \"Stop Interview?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3380,\n 920\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"3cf788a6-94d0-4223-9caa-30b8e4df8e01\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.output.stop_interview }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"cda3c487-97fa-4037-b9a0-0802f4a02727\",\n \"name\": \"Generate Row\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3740,\n 1200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06146a75-b67a-42cf-aa6f-241f23c47b9a\",\n \"name\": \"timestamp\",\n \"type\": \"string\",\n \"value\": \"={{ $now.toISO() }}\"\n },\n {\n \"id\": \"b0278c64-58a7-487d-b7ba-d102fb5d4a0c\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"next_question\"\n },\n {\n \"id\": \"ba034ca1-408e-422f-b071-dab0ef12fb48\",\n \"name\": \"question\",\n \"type\": \"string\",\n \"value\": \"={{ $('Parse Response').item.json.output.question }}\"\n },\n {\n \"id\": \"a2231f6e-f507-408e-b598-53888cf8d4b5\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Answer').item.json.answer }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"3486f9ae-6a19-4f1f-be46-15376053e71f\",\n \"name\": \"Generate Row1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3580,\n 760\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06146a75-b67a-42cf-aa6f-241f23c47b9a\",\n \"name\": \"timestamp\",\n \"type\": \"string\",\n \"value\": \"={{ $now.toISO() }}\"\n },\n {\n \"id\": \"b0278c64-58a7-487d-b7ba-d102fb5d4a0c\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"stop_interview\"\n },\n {\n \"id\": \"ba034ca1-408e-422f-b071-dab0ef12fb48\",\n \"name\": \"question\",\n \"type\": \"string\",\n \"value\": \"=None\"\n },\n {\n \"id\": \"a2231f6e-f507-408e-b598-53888cf8d4b5\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"=None\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"a0e5d40d-e956-4ded-891f-ce5d0f55935f\",\n \"name\": \"Clear For Next Interview\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryManager\",\n \"position\": [\n 3900,\n 760\n ],\n \"parameters\": {\n \"mode\": \"delete\",\n \"deleteMode\": \"all\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"66a33fcb-a902-4159-a025-2dff426c1fce\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2580,\n 860\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 260,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 Set Interview Topic Here!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5cfb7114-a773-4c76-bb3b-7c004be5f799\",\n \"name\": \"Send Reply To Agent\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 4060,\n 1200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06a9c730-4756-4bc8-a394-6ff249cf7117\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Answer').item.json.answer }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"aa30c462-7dfa-40a7-8e63-bed29b30213c\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1880,\n 1060\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 490,\n \"height\": 220,\n \"content\": \"## 1. Setup Interview\\n[Learn more about the form trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger)\\n\\nThe form trigger node will be our entry point into this workflow and to start, we'll just ask for the user's name to start the interview.\\nOur session storage will be using Redis via Upstash.com (you can use regular redis btw!) - whichever way, this ensures a highly scalable system able to handle many users.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5353a7c8-d0e4-429a-ab68-c54d9b845a43\",\n \"name\": \"Start Interview\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n 1880,\n 880\n ],\n \"webhookId\": \"8d849295-ed30-41ab-a17c-464227cec8fb\",\n \"parameters\": {\n \"options\": {\n \"path\": \"driving-lessons-survey\",\n \"ignoreBots\": true,\n \"buttonLabel\": \"Begin Interview!\",\n \"appendAttribution\": true,\n \"useWorkflowTimezone\": true\n },\n \"formTitle\": \"=UK Practical Driving Test Satisfaction Interview\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"What is your name?\",\n \"placeholder\": \"ie. Sam Smith\",\n \"requiredField\": true\n }\n ]\n },\n \"responseMode\": \"lastNode\",\n \"formDescription\": \"=Thanks for taking part in our Interview. You will be presented with an unending series of questions to help us with your experiences in preparing for and taking the UK Practical Driving Test.\\n\\nThe interviewer is an AI agent and the questions are dynamically generated. When you're done with answer, simple say STOP to exit the interview. Sessions are deleted after 24 hours.\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"c88a829f-c4b4-4ad4-b121-32b15fae9980\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2840,\n 600\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 614,\n \"height\": 280,\n \"content\": \"## 2. AI Researcher for Endless Interview Questions\\n[Learn more about the AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\\n\\nAn AI interviewer is an interesting take on a role traditionally understood as expensive and time-consuming - both in preparation and execution. What if this could be handed off to an AI/LLM, which could perform when it suits the interviewee and ask a never-ending list of open and follow-on questions for deeper insights?\\n\\nThis is what this AI researcher agent is designed to do! Upon activation, a loop is created where the agent generates the question and the user answers via the form node. This continues until the user asks to stop the interview.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"10e5dbe0-0163-4c21-8811-9ce9a2a5063b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3580,\n 1380\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 580,\n \"height\": 202,\n \"content\": \"## 3. Record Answers and Prep for Next Question\\n[Learn more about the n8n Form node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\\n\\nThe interview is no good if we can't record the answers somewhere for later analysis! Using n8n form node to capture the answer, we can simple push our new question and answer pair to our Redis session to build our transcript before continuing the loop with the agent.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0a0cc961-d364-40d2-9ece-cef7d17c4b45\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3820,\n 460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 528,\n \"height\": 253,\n \"content\": \"## 4. Graciously End the Interview\\n[Read more about the Chat Manager node](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorymanager/)\\n\\nOnce the AI/LLM detects the user wishes to end the interview (which is done by the user explicitly saying in the form), then the loop breaks and we conclude the interview session and displaying the confirmation screen.\\n\\nFor this demo, I've created a special confirmation screen which also displays the transcript. This is done by redirecting to a webhook URL. If you don't need this, feel free to change this to \\\"show completion screen\\\" instead.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"279d9a67-1d3b-4ffe-a152-33164ef9e2c8\",\n \"name\": \"Get Answer\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 3580,\n 1200\n ],\n \"webhookId\": \"d96bb88d-db84-4a68-8f02-bcff9cb8429e\",\n \"parameters\": {\n \"options\": {\n \"formTitle\": \"={{ $json.output.question }}\",\n \"buttonLabel\": \"Next Question\",\n \"formDescription\": \"Please answer the question or type \\\"stop interview\\\" to end the interview.\"\n },\n \"formFields\": {\n \"values\": [\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"answer\",\n \"requiredField\": true\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4e284505-afc3-4e3e-88c8-38021efbf3c1\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 500\n ],\n \"parameters\": {\n \"width\": 522.6976744186048,\n \"height\": 787.6241860465118,\n \"content\": \"## Try it out! \\n\\n### Conducting user interviews have been traditionally difficult due to preparation, timing and execution costs. What if we let an AI/LLM do it instead?\\n\\nThis template enables automated AI/LLM powered user interviews using n8n forms and an AI agent where the question and answers are recorded in a google sheet for later analysis. A powerful tool for any researcher.\\n\\n### Check out the full showcase post here: https://community.n8n.io/t/build-your-own-ai-interview-agents-with-n8n-forms/62312\\n\\n### How it works\\n* A form trigger is used to start the interview and a new session is created in redis to capture the transcript.\\n* An AI agent is then tasked to ask questions to the user regarding the topic of the interview. This is setup as a loop so the questions never stop unless the user wishes to end the interview.\\n* Each answer is recorded in our session set up earlier between questions.\\n* Finally, when the user requests to end the interview we break the loop and show the interview completion screen.\\n\\n### Why Redis?\\nRedis is a fast key-value datastore which makes it ideal for sessions. This ensures the interview flow stays snappy between questions. For my live demo, I used Upstash.com which has a generous free tier.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ff37e943-851f-4ea7-bcab-b33150881b72\",\n \"name\": \"Set Interview Topic\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2620,\n 880\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"386f91e1-cc3e-4912-84e3-5ecdbf5412c8\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"=Hello, my name is {{ $('Start Interview').first().json['What is your name?'] }}\"\n },\n {\n \"id\": \"492d5ecc-4e76-4297-b8a7-9ca4f801c855\",\n \"name\": \"interview_topic\",\n \"type\": \"string\",\n \"value\": \"Your experience preparing for and taking the UK practical driving test\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"446937bc-a599-4184-b52e-be0607d62d94\",\n \"name\": \"UUID\",\n \"type\": \"n8n-nodes-base.crypto\",\n \"position\": [\n 2020,\n 880\n ],\n \"parameters\": {\n \"action\": \"generate\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"da94c22a-4b26-4898-bde8-b57b5bf01f15\",\n \"name\": \"Generate Row2\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2300,\n 880\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06146a75-b67a-42cf-aa6f-241f23c47b9a\",\n \"name\": \"timestamp\",\n \"type\": \"string\",\n \"value\": \"={{ $now.toISO() }}\"\n },\n {\n \"id\": \"b0278c64-58a7-487d-b7ba-d102fb5d4a0c\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"start_interview\"\n },\n {\n \"id\": \"ba034ca1-408e-422f-b071-dab0ef12fb48\",\n \"name\": \"question\",\n \"type\": \"string\",\n \"value\": \"=What is your name?\"\n },\n {\n \"id\": \"a2231f6e-f507-408e-b598-53888cf8d4b5\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"={{ $('Start Interview').first().json['What is your name?'] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9aba23d7-04af-4478-b39b-417f0917597d\",\n \"name\": \"Create Session\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 2160,\n 880\n ],\n \"parameters\": {\n \"key\": \"=session_{{ $('UUID').item.json.data }}\",\n \"ttl\": \"={{ 60 * 60 * 24 }}\",\n \"value\": \"={{ [] }}\",\n \"expire\": true,\n \"keyType\": \"list\",\n \"operation\": \"set\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"217c9866-a162-41c6-b123-189869a6cb58\",\n \"name\": \"Update Session\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 2440,\n 880\n ],\n \"parameters\": {\n \"list\": \"=session_{{ $('UUID').first().json.data }}\",\n \"tail\": true,\n \"operation\": \"push\",\n \"messageData\": \"={{ $json.toJsonString() }}\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"95e8b7c4-4f27-49f3-b509-5238c0f7bd5d\",\n \"name\": \"Update Session1\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 3900,\n 1200\n ],\n \"parameters\": {\n \"list\": \"=session_{{ $('UUID').first().json.data }}\",\n \"tail\": true,\n \"operation\": \"push\",\n \"messageData\": \"={{ $json.toJsonString() }}\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afaa55dd-844e-4bf3-8a31-3a0953caaf69\",\n \"name\": \"Update Session2\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 3740,\n 760\n ],\n \"parameters\": {\n \"list\": \"=session_{{ $('UUID').first().json.data }}\",\n \"tail\": true,\n \"operation\": \"push\",\n \"messageData\": \"={{ $json.toJsonString() }}\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c381d598-1902-4789-ac15-65ac2124fbdd\",\n \"name\": \"Valid Session?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 5080,\n 1240\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"500d6ca9-2a04-40f0-98e8-aa4290e6a30d\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"exists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.data }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"f26ccdaa-4f94-4acb-894b-341648aee8b0\",\n \"name\": \"Respond to Webhook\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 5440,\n 1240\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200,\n \"responseHeaders\": {\n \"entries\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"text/html\"\n }\n ]\n }\n },\n \"respondWith\": \"text\",\n \"responseBody\": \"={{ $json.html }}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"09a05dc6-4a21-4df0-a83d-5e1b986090f8\",\n \"name\": \"Window Buffer Memory2\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 3000,\n 1120\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('UUID').first().json.data }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"26f87c7d-9e2c-41e8-b7eb-3c249a69f905\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 3900,\n 920\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('UUID').first().json.data }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"ab891c71-af03-49c9-b281-d0058374260b\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4180,\n 740\n ],\n \"parameters\": {\n \"width\": 276.4353488372094,\n \"height\": 320.31553488372094,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 Set Your Webhook URL here!\\nFor this demo, we want to show a customised completion screen with transcript so it's necessary to redirect to a webhook (see step 6).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7a063851-1bea-4e34-897c-4038d08b845e\",\n \"name\": \"Redirect to Completion Screen\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 4260,\n 760\n ],\n \"webhookId\": \"9fdedf1b-e413-4fc3-94a4-9cc24bffff8a\",\n \"parameters\": {\n \"operation\": \"completion\",\n \"redirectUrl\": \"=https://<host>/webhook/<uuid-if-using-n8n-cloud>/ai-interview-transcripts/{{ $('UUID').first().json.data }}\",\n \"respondWith\": \"redirect\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b67b3fa5-faf6-402b-9b9e-c783869770ca\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4640,\n 1220\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 236.3564651162793,\n \"height\": 345.82027906976737,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 This is the webhook we want to redirect to!\\nIf you're on n8n cloud, you may want to copy the webhook url generated here and use it as the form ending's redirect url.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"583d1572-2d6f-4ca4-9e31-33dc1481e87a\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4580,\n 980\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 588,\n \"height\": 207,\n \"content\": \"## 6. Display the Transcript\\n[Read more about the Webhook Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook)\\n\\nThis step is totally optional. For a nicer user experience, I use this webhook mini-flow to display the user's transcript for the completion screen. It works by capturing the session_id in the webhook's url and searching for it in our redis database. If a match is found the transcript is fetched and rendered into a webpage using the HTML node and returned to the user. If no match is found, a 404 message is displayed instead.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5fcf86b9-3fa3-48f5-a4a4-a1e261a48b49\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 4700,\n 1240\n ],\n \"webhookId\": \"78df12c4-ccd0-46dd-be0d-4445c2bd04f2\",\n \"parameters\": {\n \"path\": \"ai-interview-transcripts/:session_id\",\n \"options\": {\n \"ignoreBots\": true\n },\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"6df57307-feef-4be5-861d-fdc0b92d1ef6\",\n \"name\": \"404 Not Found\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 5260,\n 1320\n ],\n \"parameters\": {\n \"html\": \"\\n<html lang='en'>\\n\\n\\t<head>\\n\\t\\t<meta charset='UTF-8' />\\n\\t\\t<meta name='viewport' content='width=device-width, initial-scale=1.0' />\\n\\t\\t<link rel='icon' type='image/png' href='https://n8n.io/favicon.ico' />\\n\\t\\t<link\\n\\t\\t\\thref='https://fonts.googleapis.com/css?family=Open+Sans'\\n\\t\\t\\trel='stylesheet'\\n\\t\\t\\ttype='text/css'\\n\\t\\t/>\\n\\n\\t\\t<title>Driving Practice Test 2024 Survey \\n\\n\\t\\t\\n\\t\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t404 Not Found
\\n\\t\\t\\t\\t\\t\\tThe requested session does not exist.
\\n Your session may have expired.
\\n \\n\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t \\n\\t\\t\\n\\t\\n\\n
tags\\n3. **Arrays** → Unordered lists (
- ) unless context suggests ordered lists\\n4. **Nested Objects** → Subsections with appropriate heading hierarchy\\n5. **URLs** → Convert to proper tags with href and descriptive text\\n6. **Empty/Null Values** → Skip entirely, do not create empty sections\\n\\n# HTML STRUCTURE HIERARCHY\\n```\\n
\\n \\n```\\n\\n# MANDATORY FORMATTING RULES\\n1. **IDs**: Generate kebab-case IDs for all headings (h1-h6)\\n2. **ARIA**: Include aria-labelledby for all sections referencing heading IDs\\n3. **Text Processing**: \\n - Escape HTML entities (&, <, >, ")\\n - Convert line breaks to separate\\n \\n \\n[Main Title]
\\n\\n \\n[Section Title]
\\n\\n \\n[Subsection Title]
\\n[Content]
\\n- \\n
- [List item] \\n
tags\\n - Wrap standalone text in
tags\\n4. **Links**: Auto-detect URLs and wrap in text\\n5. **Emphasis**: Use for important terms, for emphasis\\n\\n# ERROR HANDLING\\n- If JSON is malformed: Output error message in
tag within article\\n- If empty JSON: Output
\\n \\n \\nNo content available
\\n- Always include tag\\n\\nProcess the JSON systematically and output only the HTML article content.\\n\"\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 2,\n \"position\": [\n -20,\n -80\n ],\n \"id\": \"4f39c987-d009-4f6f-9a2e-d93a6a23e0f2\",\n \"name\": \"Formatter\",\n \"executeOnce\": true\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"654e6696-7705-4021-87df-1edf19bbe439\",\n \"name\": \"html\",\n \"value\": \"={{ $json.html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 560,\n -80\n ],\n \"id\": \"d61c1ee0-6d2e-491f-86da-99901e029d0d\",\n \"name\": \"get_html_output\",\n \"notes\": \".replace('html', '').replaceAll(\\\"```\\\", '').replaceAll(\\\"\\\\n\\\", \\\"\\\") \"\n },\n {\n \"parameters\": {\n \"html\": \"\\n\\nwith for main title\\n- Use consistent ID naming: section-1, section-2, subsection-1-1, etc.\\n- Maintain proper heading hierarchy (don't skip levels)\\n- End with closing
{{ $('Start').item.json.title }} \\n \\n\\n\\n{{ $json.output }}\\n\\n\"\n },\n \"type\": \"n8n-nodes-base.html\",\n \"typeVersion\": 1.2,\n \"position\": [\n 340,\n -80\n ],\n \"id\": \"f21c55b8-273e-4cd8-a386-0e03126daac0\",\n \"name\": \"generate_html_report\"\n },\n {\n \"parameters\": {\n \"workflowInputs\": {\n \"values\": [\n {\n \"name\": \"filename\"\n },\n {\n \"name\": \"title\"\n },\n {\n \"name\": \"content\",\n \"type\": \"any\"\n }\n ]\n }\n },\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n -340,\n -80\n ],\n \"id\": \"8e77f839-6bc5-456f-87bc-580631ba08c5\",\n \"name\": \"Start\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need an OpenAI API Key.\\n\\n### Demo\\nYou can find a a tutorial [here](https://www.youtube.com/@Marvomatic).\\n\\n\\n### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 380,\n \"width\": 760\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 400,\n 100\n ],\n \"id\": \"56463b9f-9c6b-4137-8a49-e0c905238872\",\n \"name\": \"Sticky Note5\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"convert_to_html_file\": {\n \"main\": [\n []\n ]\n },\n \"convert_to_base64\": {\n \"main\": [\n [\n {\n \"node\": \"convert_to_html_file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Formatter\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Formatter\": {\n \"main\": [\n [\n {\n \"node\": \"generate_html_report\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_html_output\": {\n \"main\": [\n [\n {\n \"node\": \"convert_to_base64\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"generate_html_report\": {\n \"main\": [\n [\n {\n \"node\": \"get_html_output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Start\": {\n \"main\": [\n [\n {\n \"node\": \"Formatter\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"556b940d-a96f-40d9-b72d-d69b5482d56f\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"lr4FCy9jvt89twbt\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Tools - Report Generator", "node_count": 8, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 7\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.googleBigQueryTool, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"SEO Data Analyst\",\n \"nodes\": [\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n 80,\n 0\n ],\n \"id\": \"e68f379c-160b-40e1-99ca-26eb326961a8\",\n \"name\": \"When chat message received\",\n \"webhookId\": \"78186b53-b072-4a0f-aaed-a585fe9e1b45\"\n },\n {\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n 220\n ],\n \"id\": \"01365ff6-8b71-4e2b-8f41-1b4e11bdf3bc\",\n \"name\": \"Simple Memory\"\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"value\": \"gpt-4.1-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"gpt-4.1-mini\"\n },\n \"options\": {\n \"temperature\": 0\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 320,\n 220\n ],\n \"id\": \"f117fbdb-6cc7-40e8-a9cb-a15815449599\",\n \"name\": \"OpenAI Chat Model\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"projectId\": {\n \"__rl\": true,\n \"value\": \"automations-451008\",\n \"mode\": \"list\",\n \"cachedResultName\": \"automations\",\n \"cachedResultUrl\": \"\"\n },\n \"sqlQuery\": \"{{ $fromAI('sql_statement') }}\",\n \"options\": {\n \"returnAsNumbers\": true\n }\n },\n \"type\": \"n8n-nodes-base.googleBigQueryTool\",\n \"typeVersion\": 2.1,\n \"position\": [\n 660,\n 220\n ],\n \"id\": \"6d8fb936-0f44-4896-a00d-6beb80007152\",\n \"name\": \"Execute BigQuery Statements\",\n \"credentials\": {\n \"googleBigQueryOAuth2Api\": {\n \"id\": \"9x33JaSI9N1JQ0NB\",\n \"name\": \"Google BigQuery account\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"=Always execute the BigQuery SQL Query to get the correct data from the databases. Please anwswer then the following questions:\\n{{ $json.chatInput }}\",\n \"options\": {\n \"systemMessage\": \"=You are an **AI SEO Data Analyst** with access to two powerful tools:\\n\\n- **Website Agent:** Can scrape and analyze any web page, extracting the title, meta description, a summary, and performing n-gram analysis of the content.\\n- **Google BigQuery Tool:** Can query the table `add-your-table-name-here` containing Google Search Console data.\\n\\nYour **primary goal** is to help users identify **keywords that should be better integrated into their website content** to improve SEO performance.\\n\\n---\\n\\n#### **Your Workflow for Every User Question:**\\n\\n1. **Analyze** the user's question and determine if it relates to website content, search performance data, or both.\\n2. **If the question involves a specific URL or page:**\\n - Use the Website Agent to scrape and analyze the page.\\n - Extract and return:\\n - Title\\n - Meta description\\n - Summary of the content\\n - N-gram analysis (highlighting most frequent 1-3 word phrases)\\n3. **If the question involves search performance or keywords:**\\n - Generate the appropriate SQL query using the table and schema below.\\n - Execute the SQL query using the Google BigQuery tool.\\n - Format the results into a clear, user-friendly response.\\n4. **For keyword integration analysis:**\\n - Use BigQuery to identify high-impression or high-click keywords that are underrepresented in the website content (as revealed by the n-gram analysis).\\n - Suggest which keywords should be better integrated into the page or site.\\n5. **Return** a combined, actionable answer to the user, including:\\n - Website content analysis (title, meta, summary, n-grams)\\n - Search Console data (top queries, missing keywords, etc.)\\n - Clear recommendations for keyword integration\\n\\n---\\n\\n#### **Available Data:**\\n\\n**BigQuery Table:** `add-your-table-name-here`\\n\\n**Schema:**\\n- `data_date` (DATE): Date of the data entry\\n- `url` (STRING): URL of the page\\n- `query` (STRING): Search query (keyword)\\n- `is_anonymized_query` (BOOLEAN): True if the query is anonymized\\n- `is_anonymized_discover` (BOOLEAN): True if the discover data is anonymized\\n- `country` (STRING): Country code\\n- `search_type` (STRING): Type of search (web, image, video)\\n- `device` (STRING): Device type (desktop, mobile, tablet)\\n- `impressions` (INTEGER): Number of times the result was shown\\n- `clicks` (INTEGER): Number of times the result was clicked\\n- `sum_position` (INTEGER): Sum of positions for the result\\n\\n**Default filters:** \\nAlways set `is_anonymized_query` and `is_anonymized_discover` to false in your SQL queries.\\n\\n---\\n\\n#### **SQL Query Guidelines:**\\n\\n- Use the exact table name: `add-your-table-name-here`\\n- For time-based questions, use the `data_date` column with BigQuery date functions\\n- For \\\"top\\\" or \\\"best performing\\\" results, order by clicks (highest first)\\n- Use appropriate aggregations (SUM, COUNT, AVG) when grouping data\\n- Always include proper WHERE clauses for date ranges and filters\\n\\n---\\n\\n#### **Result Formatting Guidelines:**\\n\\n- **For lists/tables:** Present as clean tables with clear headers\\n- **For single values:** Provide a short narrative explanation\\n- **For comparisons:** Clearly explain the difference or trend\\n- **For keyword integration:** Clearly list keywords that are high-performing in Search Console but underused in the page content, and recommend integrating them\\n- **Always:** Use non-technical language that any business user can understand\\n- **Never:** Show raw SQL queries or technical database output to the user\\n\\n---\\n\\n#### **Examples:**\\n\\n**User:** \\\"Analyze https:domain.com/slug and tell me which keywords from Search Console should be added to the page.\\\"\\n\\n**→ Workflow:**\\n- Scrape and analyze `https:domain.com/slug` (title, meta, summary, n-grams)\\n- Query BigQuery for top queries for `https:domain.com/slug`\\n- Compare n-grams to top queries\\n- Return:\\n\\n> **Page Analysis:** \\n> - Title: \\\"10 SEO Tips for 2024\\\" \\n> - Meta Description: \\\"Boost your rankings with these actionable SEO tips.\\\" \\n> - Summary: \\\"This article covers the most effective SEO strategies for 2024...\\\" \\n> - Top n-grams: \\\"SEO tips\\\", \\\"search engine\\\", \\\"content optimization\\\"\\n>\\n> **Search Console Data:** \\n> | Keyword | Clicks | Impressions |\\n> |-----------------|--------|-------------|\\n> | \\\"SEO checklist\\\" | 120 | 2,000 |\\n> | \\\"SEO audit\\\" | 90 | 1,500 |\\n>\\n> **Recommendation:** \\n> The keywords \\\"SEO checklist\\\" and \\\"SEO audit\\\" are driving significant impressions but are not prominent in your page content. Consider integrating these keywords naturally into your article to improve relevance and rankings.\\n\\n---\\n\\n#### **Important:**\\n\\n- Always use the correct tool for each part of the workflow\\n- Never show SQL code to the user\\n- Always format results in a business-friendly way\\n- If a question is unclear, ask one clarifying question before proceeding\\n\\n\"\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 2,\n \"position\": [\n 420,\n 0\n ],\n \"id\": \"796b093c-edc8-49fc-b047-f8e0ca6db13e\",\n \"name\": \"SEO Data Analyst\"\n },\n {\n \"parameters\": {\n \"description\": \"Call this tool when a website needs to be optimized. The input should be the url.\",\n \"workflowId\": {\n \"__rl\": true,\n \"value\": \"4DiQ75K8cdqHbobH\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Tool - Website Agent\"\n },\n \"workflowInputs\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {},\n \"matchingColumns\": [],\n \"schema\": [],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"typeVersion\": 2.2,\n \"position\": [\n 840,\n 220\n ],\n \"id\": \"e9bb3469-7e15-451d-8e6c-31c00a794466\",\n \"name\": \"Crawl URL\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **BigQuery**\\n- **Serper**\\n- **OpenAI**\\n#### Getting Started\\n1. Set up the Bulk Data Export you can find a tutorial [here](https://youtu.be/DlhXvS2Hsj4?si=Pyxci25i-zBO4A5U).\\n2. Configure your API credentials for Serper Dev and OpenAI within n8n. You can find an example [here](https://youtu.be/SFI-cyoKnKs?si=RXrK-O_KSpKP-i4m).\\n3. Import the workflows into your n8n instance.\\n4. Update any required variables or nodes in the workflow to point to your credentials and API keys.\\n5. Update the System and User Prompt with the correct BigQuery table names. \\n\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 520,\n \"width\": 760\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 1000,\n -100\n ],\n \"id\": \"a08cb5c9-1521-4816-9ae6-8fa9c3914016\",\n \"name\": \"Sticky Note5\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Simple Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute BigQuery Statements\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Crawl URL\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"SEO Data Analyst\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"df36d629-37e6-4745-a930-49d08b1e8db3\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"N5qSw2wVcptJIeQe\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "SEO Data Analyst", "node_count": 7, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for tool serper crawl url", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 3\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Tool - Serper Crawl URL\",\n \"nodes\": [\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7320f474-4ba6-47b7-9ce7-82529cbb12ff\",\n \"name\": \"title\",\n \"value\": \"={{ $json.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"a047ca1d-04e0-493b-9d88-eddc4ec4478c\",\n \"name\": \"description\",\n \"value\": \"={{ $json.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"607f18e4-364c-4594-8821-3800b28d3c9b\",\n \"name\": \"markdown\",\n \"value\": \"={{ $json.markdown }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 280,\n 0\n ],\n \"id\": \"635191a6-85dc-439d-8616-ceabb5294a71\",\n \"name\": \"Get Metadata\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://scrape.serper.dev\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"={{ $json.query }}\"\n },\n {\n \"name\": \"includeMarkdown\",\n \"value\": \"true\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 60,\n 0\n ],\n \"id\": \"b53e65c6-0b22-4b89-b718-32143058205e\",\n \"name\": \"Serper\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n },\n {\n \"parameters\": {\n \"inputSource\": \"passthrough\"\n },\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n -160,\n 0\n ],\n \"id\": \"59fec696-d611-4a2d-b35b-ea3a7e7e7957\",\n \"name\": \"When Executed by Another Workflow\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Get Metadata\": {\n \"main\": [\n []\n ]\n },\n \"Serper\": {\n \"main\": [\n [\n {\n \"node\": \"Get Metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When Executed by Another Workflow\": {\n \"main\": [\n [\n {\n \"node\": \"Serper\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c8caef1a-c775-4584-832c-84dd6865aea5\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"RkFq0paD5YLLof2K\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Tool - Serper Crawl URL", "node_count": 3, "category": "General Automation"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.lmChatOpenAi to tool website agent", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 4\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Tool - Website Agent\",\n \"nodes\": [\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json.query }}\",\n \"options\": {\n \"systemMessage\": \"=### System Prompt for n8n AI Agent: Website Analyzer\\n\\nYou are an AI Agent designed to analyze web pages. \\nWhen the user says something similiar to, \\\"analyze the following page\\\" and provides a URL, follow these steps:\\n\\n1. **Scrape the web page at the provided URL using the available Tool.**\\n2. **Extract and return the following information:**\\n - **Title:** The main title of the page.\\n - **Description:** The meta description or a brief summary if no meta description is available.\\n - **Summary:** A concise summary of the main content of the page.\\n - **N-gram Analysis:** \\n - **Guidelines for N-gram Analysis:**\\n - Only analyze the main textual content of the page (ignore navigation, ads, and boilerplate).\\n - Remove all common stop words (such as \\\"the\\\", \\\"and\\\", \\\"is\\\", etc.) from the analysis.\\n - Normalize text by converting to lowercase and removing punctuation.\\n - For each n-gram type, list the top 10 most frequent items.\\n - Present results as lists, ordered by frequency (most frequent first).\\n - For bigrams and trigrams, do not include n-grams that contain only stop words.\\n - If the page has very little text, return as many n-grams as possible and note the limitation.\\n\\n - **Unigram:** List of the most frequent single words (excluding stop words).\\n - **Bigram:** List of the most frequent two-word combinations (excluding those with only stop words).\\n - **Trigram:** List of the most frequent three-word combinations (excluding those with only stop words).\\n\\n**Output your results in a clear, structured format.** \\nIf any information is missing or cannot be found, state this explicitly.\\n\\n---\\n\\n#### Example Output\\n\\n**Title:** [Page Title] \\n**Description:** [Meta Description or brief summary] \\n**Summary:** [Concise summary of main content] \\n**N-gram Analysis:** \\n- **Unigram:** [word1, word2, ...] \\n- **Bigram:** [word1 word2, word2 word3, ...] \\n- **Trigram:** [word1 word2 word3, word2 word3 word4, ...]\"\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 2,\n \"position\": [\n 220,\n 0\n ],\n \"id\": \"3c621351-ad1f-4652-a2c8-0fe0db3a094a\",\n \"name\": \"Scrape Agent\"\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4.1-mini\"\n },\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 200,\n 200\n ],\n \"id\": \"e01072a7-f096-4ea2-b238-da6362e9fd3d\",\n \"name\": \"GPT-4.1-mini\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"inputSource\": \"passthrough\"\n },\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n 0,\n 0\n ],\n \"id\": \"4d03f030-1eef-4c0c-8055-2f0f11096f0b\",\n \"name\": \"When Executed by Another Workflow\"\n },\n {\n \"parameters\": {\n \"description\": \"Call this tool to scrape websites by providing a URL and return the prepared data.\",\n \"workflowId\": {\n \"__rl\": true,\n \"value\": \"RkFq0paD5YLLof2K\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Tool - Serper Crawl URL\"\n },\n \"workflowInputs\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {},\n \"matchingColumns\": [],\n \"schema\": [],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"typeVersion\": 2.2,\n \"position\": [\n 420,\n 220\n ],\n \"id\": \"af549453-a56e-4ca6-bffe-a1b074234d07\",\n \"name\": \"Call Serper\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"GPT-4.1-mini\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Scrape Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When Executed by Another Workflow\": {\n \"main\": [\n [\n {\n \"node\": \"Scrape Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Call Serper\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Scrape Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"4d9d630a-3d6f-4a6b-83ea-8607cec1d98b\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"4DiQ75K8cdqHbobH\",\n \"tags\": []\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Tool - Website Agent", "node_count": 4, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for product serp analysis (serpapi + crawl4ai)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product - SERP Analysis (SerpAPI + Crawl4AI)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -880,\n 940\n ],\n \"id\": \"ab9130ad-2ebe-457b-a442-277e406dfd0b\",\n \"name\": \"On form submission\",\n \"webhookId\": \"9180df6f-cf6d-4d11-941e-db5659923b24\"\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"DESKTOP\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 1040\n ],\n \"id\": \"d14ba2d7-7120-4ad5-9f2a-0e6b1b5f5998\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 820\n ],\n \"id\": \"996db5a2-32eb-4cba-b708-cc7057875030\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n }\n }\n },\n {\n \"parameters\": {\n \"content\": \"# Get SERPs by Keyword and Country\",\n \"height\": 1440,\n \"width\": 840\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -920,\n 360\n ],\n \"id\": \"612a8dc7-1b74-4960-972f-e22982e34e3c\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 20,\n 860\n ],\n \"id\": \"29a3e353-d867-4811-b451-e1dfb620c6c6\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 260,\n 860\n ],\n \"id\": \"8a78895b-95b1-402d-8398-93f8ac2ef62b\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 480,\n 860\n ],\n \"id\": \"5030363b-0373-48a8-b9ef-f1400240bc32\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 954676522,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\",\n \"snippet\": \"={{ $json.snippet}}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 700,\n 860\n ],\n \"id\": \"e454c712-dfe5-4188-9592-4fbd80c2c1bd\",\n \"name\": \"insert_faqs\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 640\n ],\n \"id\": \"0bf66d60-a0dc-41d8-92da-d28dc0994e56\",\n \"name\": \"get_faqs_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 820\n ],\n \"id\": \"599b9649-517f-4c97-a09c-f49bd6b4a2c8\",\n \"name\": \"get_serp_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1040\n ],\n \"id\": \"27a98c0c-9cc6-4baa-a449-6c092790cbe5\",\n \"name\": \"get_serp_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1260\n ],\n \"id\": \"bc8b3e76-66c3-414c-8acf-d7954957c107\",\n \"name\": \"get_faqs_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.related_searches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 400\n ],\n \"id\": \"f64a255d-2cd5-444d-a8a2-27150c04a728\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.related_searches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1500\n ],\n \"id\": \"c8fae186-62ae-4882-b9f2-c2a3a7a3c708\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 360\n ],\n \"id\": \"b37c6854-03b2-423b-ab79-ad86d6a32e08\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 760\n ],\n \"id\": \"66a7e0bd-6726-4189-bc44-b7e45659ea7e\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 0,\n 480\n ],\n \"id\": \"766c389d-3a1b-48dd-8f1f-2324278b9168\",\n \"name\": \"merge_faq1\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 1692925487,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.name }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 720,\n 480\n ],\n \"id\": \"ce1a7673-704d-4131-9435-8f494224c9f5\",\n \"name\": \"insert_related_searches\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"name\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 520,\n 480\n ],\n \"id\": \"df2c5afa-5d04-475f-9e93-d9fd70f5ab6c\",\n \"name\": \"remove_duplicates_in_questions1\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **SerpApi**\\n- **Crawl4AI**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for SerpApi, Crawl4AI, and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 940,\n 360\n ],\n \"id\": \"03f13c66-ead3-4718-91b6-30ac8a79444d\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 640,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 1160\n ],\n \"id\": \"01a82bfd-f020-4a05-b4b3-3a971283c558\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 0,\n 1280\n ],\n \"id\": \"84c45bc1-fe19-4618-b101-ab0e5c047269\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 0,\n 1480\n ],\n \"id\": \"10bbd663-ba8c-41f7-93eb-588d42167518\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 220,\n 1280\n ],\n \"id\": \"15d22f8f-7f73-4d50-9bd7-05ee5b113ba6\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 440,\n 1280\n ],\n \"id\": \"61b4ff33-c12f-4dcf-9208-01e82c42a0bf\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 660,\n 1280\n ],\n \"id\": \"172bfff0-b196-43bc-9f5b-0e9a664b4a83\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 860,\n 1280\n ],\n \"id\": \"11354eb9-a23c-4569-bf30-0796e3fdcd46\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position, title\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 1100,\n 1280\n ],\n \"id\": \"54ffe9d9-cd5a-4c2e-bb84-2f2459c9c1d1\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"url\": \"=http://crawl4ai:11235/task/{{ $json.task_id }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 780,\n 1500\n ],\n \"id\": \"5e699d2c-9d6f-437d-838f-6641cdd3348d\",\n \"name\": \"get_status\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"result.metadata.title\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"result.metadata.description\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"result.metadata['og:url']\",\n \"value\": \"={{ $('get_status').item.json.result.metadata['og:url'] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"result.cleaned_html\",\n \"value\": \"={{ $('get_status').item.json.result.cleaned_html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1200,\n 1500\n ],\n \"id\": \"767e4147-b212-4833-a9de-89acce01b1fa\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERPs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1860,\n 1500\n ],\n \"id\": \"0263981c-763c-4eba-ad3d-cd89f1c2d615\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"http://crawl4ai:11235/crawl\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"urls\",\n \"value\": \"={{ $json.link }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 360,\n 1500\n ],\n \"id\": \"ba772328-aa75-4f32-b170-10686a298b2e\",\n \"name\": \"get_page_content\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 580,\n 1500\n ],\n \"id\": \"a0847995-63bc-4d45-ad6e-a72d58b80ac6\",\n \"name\": \"sleep\",\n \"webhookId\": \"39bf1438-2316-4e3e-bb9d-0dd5d29b3509\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"100015ac-f73c-406d-acd5-49a41d60111a\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 980,\n 1500\n ],\n \"id\": \"cae29db7-2e8b-4497-90f7-d47ad206e069\",\n \"name\": \"check_status\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1520,\n 1280\n ],\n \"id\": \"e8fcf388-c73a-4409-8386-0412992825aa\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 180,\n 480\n ],\n \"id\": \"f61060db-010d-49b7-a5fd-4db1fecc86e6\",\n \"name\": \"get_related_searches\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"items\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 360,\n 480\n ],\n \"id\": \"820b964d-a28a-430f-a276-e41a2719083f\",\n \"name\": \"get_names\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following= {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1540,\n 1500\n ],\n \"id\": \"45770e8f-b9ff-4a5a-ab70-c22033e2225b\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n }\n ],\n \"pinData\": {\n \"On form submission\": [\n {\n \"json\": {\n \"Focus Keyword\": \"mit ki musik erstellen\",\n \"Country\": \"de\",\n \"submittedAt\": \"2025-04-29T15:56:44.169-04:00\",\n \"formMode\": \"test\"\n }\n }\n ],\n \"get_desktop_serp_results\": [\n {\n \"json\": {\n \"search_metadata\": {\n \"id\": \"68112b375f6d02daaeef0fa9\",\n \"status\": \"Success\",\n \"json_endpoint\": \"https://serpapi.com/searches/9a6f2cac55259302/68112b375f6d02daaeef0fa9.json\",\n \"created_at\": \"2025-04-29 19:40:39 UTC\",\n \"processed_at\": \"2025-04-29 19:40:39 UTC\",\n \"google_url\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&sourceid=chrome&ie=UTF-8\",\n \"raw_html_file\": \"https://serpapi.com/searches/9a6f2cac55259302/68112b375f6d02daaeef0fa9.html\",\n \"total_time_taken\": 0.96\n },\n \"search_parameters\": {\n \"engine\": \"google\",\n \"q\": \"mit ki musik erstellen\",\n \"google_domain\": \"google.com\",\n \"gl\": \"de\",\n \"device\": \"desktop\"\n },\n \"search_information\": {\n \"query_displayed\": \"mit ki musik erstellen\",\n \"total_results\": 19900000,\n \"time_taken_displayed\": 0.31,\n \"organic_results_state\": \"Results for exact spelling\"\n },\n \"knowledge_graph\": {\n \"entity_type\": \"related_questions\"\n },\n \"inline_videos\": [\n {\n \"position\": 1,\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444b045fecf9651c4be6432e6eefc277c84f.jpeg\",\n \"channel\": \"KI-Wissen für Einsteiger und Experten\",\n \"duration\": \"6:48\",\n \"platform\": \"YouTube\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Vorstellung der Plattform Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=0\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1a1d7e1ad6c5f7d60a5cd99a7e7e2265b.jpeg\"\n },\n {\n \"time\": \"01:13\",\n \"title\": \"Eigenen Song erstellen in Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=73\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1751330a80b04e723b39fc46b127044ec.jpeg\"\n },\n {\n \"time\": \"03:10\",\n \"title\": \"Eigener Jingle anhören Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=190\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1fc64c205503eae877fda03f8db30b1f3.jpeg\"\n },\n {\n \"time\": \"04:15\",\n \"title\": \"Einstellungen Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=255\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69fc27d1343f25444be945e2ea50204cf1f52a407c085baf694629a08a7f8ea87a.jpeg\"\n }\n ]\n },\n {\n \"position\": 2,\n \"title\": \"KI Musik erstellen - Wahnsinnig gute Musik mit Suno Ai erstellen\",\n \"link\": \"https://www.youtube.com/watch?v=B3NvostkdS0\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a69f3b7a7e2f2121a40469059d8c6315ea34a5f3ed3738c3f6b.jpeg\",\n \"channel\": \"Alexandra Sackmann\",\n \"duration\": \"6:54\",\n \"platform\": \"YouTube\"\n },\n {\n \"position\": 3,\n \"title\": \"Gesang mit Künstlicher Intelligenz erstellen: Die besten KI ...\",\n \"link\": \"https://www.youtube.com/watch?v=e1y527O9ZhU\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a695657d57d8e62ea7e551068dc079eefbc7e7f9e4233c60d0b.jpeg\",\n \"channel\": \"Thomas Foster - Sound & Vision\",\n \"duration\": \"18:21\",\n \"platform\": \"YouTube\"\n },\n {\n \"position\": 4,\n \"title\": \"Was kann KI? Wir erstellen einen Song\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s\",\n \"thumbnail\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/ede98074ac104a6935cfd800d094f16c21b3b125400b6e0af552d353879dedc5.jpeg\",\n \"channel\": \"Medienzentrum Darmstadt-Dieburg\",\n \"duration\": \"25:10\",\n \"platform\": \"YouTube\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Intro/ Begrüßung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=0\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTzqrRANCuaTj59_XGz04KZfBJpx570RUxlo4s-vsp5XA&s\"\n },\n {\n \"time\": \"01:22\",\n \"title\": \"Vorstellung SUNO\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=82\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQrw8m9IKTE1xTVYBcUQ877VnTydkVRxKRP-Vxq-ixZow&s\"\n },\n {\n \"time\": \"02:40\",\n \"title\": \"Song Reaction\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=160\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRvP5RkzkrjOxuzs-R-EsCKka1O7j9nmKcdF2zW3U99Hg&s\"\n },\n {\n \"time\": \"06:14\",\n \"title\": \"Lied Analyse\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=374\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTJxv48nvPPeLSyZC34ACQdZ6KenIJssx3O_Q-ZfMj0pQ&s\"\n },\n {\n \"time\": \"10:20\",\n \"title\": \"Urheberrecht\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=620\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRAQW_HWjy-Pqu_SQlLrmry6yi8UsiagcVjYLeCrHKPkA&s\"\n },\n {\n \"time\": \"12:06\",\n \"title\": \"Aufnahme Teil 1\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=726\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRurE3tOMbnrspjd5GLom5CoHcbTs-tG2X72kw7slEwMw&s\"\n },\n {\n \"time\": \"14:02\",\n \"title\": \"KI und seine Folgen\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=842\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQzCZXDL1pjy4Q_cdA6h0MHZxCRI8xmOofFWo-5Jm7DnQ&s\"\n },\n {\n \"time\": \"15:10\",\n \"title\": \"GEMA Studie\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=910\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSqsrMiJMkGeVFMqkKn_Es1ULc3IrfmKMxmUEqo6rAFrQ&s\"\n },\n {\n \"time\": \"17:07\",\n \"title\": \"Aufnahme Teil 2\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1027\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR3HDEa2XI4Ljx7sv5-1_B8PwmW9IB0KvmFbAw4SrEKKA&s\"\n },\n {\n \"time\": \"18:21\",\n \"title\": \"Chancen mit KI\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1101\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQIhqbw1IPnI8-UjjQaJ82RBEirROEkhfpdlpMCQ-CFCw&s\"\n },\n {\n \"time\": \"21:04\",\n \"title\": \"Unser Fazit?\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1264\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR42si_OApAbbkuQCvZQl6xFZT7uqYSFvQ3-_251OnaLQ&s\"\n },\n {\n \"time\": \"21:59\",\n \"title\": \"Unterrichtsmethoden\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1319\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSZUYX7wFQJGlavrCL5htiwxS650EHU5HIGUC-9VN5Jng&s\"\n },\n {\n \"time\": \"22:57\",\n \"title\": \"Ergebnis der Aufnahme\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1377\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRE8J2c8v0VrCFXU9dxPpyW667eLjrrf-pmMRr1-L_-HQ&s\"\n },\n {\n \"time\": \"24:41\",\n \"title\": \"Verabschiedung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1481\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQbEON3hFJAyfYYEV25_azu4qj87SEHI5UMNmiIxyyLyA&s\"\n }\n ]\n }\n ],\n \"short_videos\": [\n {\n \"position\": 1,\n \"title\": \"Mit #KI Musik generieren? So geht's! #SunoAI #Musik ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI-Campus\",\n \"extensions\": [\n \"KI-Campus\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b7cb7f90fd8d908fa73db7f99e1ce279478449319e0a77560.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcQQqBZ51Orv3tnKnG78X7XlHOsfRHfWmfJjqg\",\n \"date\": \"15.01.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSqRvAo32urTPAGNdr8YYohMinGRRgen9mgXm4ZhUdz2lqscQ&s\",\n \"link\": \"https://www.youtube.com/watch?v=L8CoDolwfFs\"\n },\n {\n \"position\": 2,\n \"title\": \"Künstliche Intelligenz nutzen um KI Songs zu erstellen ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"eBakery\",\n \"extensions\": [\n \"eBakery\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b4ed7d10c71c81739a0fc978dc4784d4232b67271a07dca7c.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTmUXSFrM4keI1KW6fh4QmszhzXCLnW-05A2A\",\n \"date\": \"17.07.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRha1ARWmc8KMCi7iNFF0fHZXOHYrSgIS1z2B7JYQqcicMglg&s\",\n \"link\": \"https://www.youtube.com/watch?v=IRdRXZiPz8E\"\n },\n {\n \"position\": 3,\n \"title\": \"🚀 Workshop heute: KI in der Musikproduktion!\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster Musikproduktion\",\n \"extensions\": [\n \"Thomas Foster Musikproduktion\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b5549359e0e059108d26dd3f5be3fd17b4b901fffce2b8774.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRkQ6JEfjho-acq7FuSUysz4MW4SS_yh6OqKw\",\n \"date\": \"09.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSKteNPaVx9Pra4i9AD0OUnLDHl2vWwwPbHEha1yiuXpg_m1w&s\",\n \"link\": \"https://www.youtube.com/watch?v=nD2m6Z7OeOQ\"\n },\n {\n \"position\": 4,\n \"title\": \"Song mit KI erstellen: So funktioniert's! von jps_mp3 auf TikTok. Auf TikTok wiedergeben. . vor 2 Wochen\",\n \"source\": \"TikTok\",\n \"profile_name\": \"jps_mp3\",\n \"extensions\": [\n \"jps_mp3\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b94f89ef886d3721ed1fae739cfcbbeb98839c9bb3b39367f.png\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTTjM5WC3BYkuhGxXzg72rp04PNFADskLGMVw1CQ6V1utlfYQ&s\",\n \"link\": \"https://www.tiktok.com/@jps_mp3/video/7492871368460012822\"\n },\n {\n \"position\": 5,\n \"title\": \"So machst du ein Musikvideo mit KI – ohne Budget, ohne ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b0b59b46a83d39cb4d7a3304daa5b3e5da781f9e5630c0d3d.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRCbLhHJDfCefIG9AW2TUL6dUi3BXE49_bMtQ\",\n \"date\": \"16.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQKwru4cg-RzIcjSis3FVDbyhseZbA4D3AJV6X8X-hjSWdFjQ&s\",\n \"link\": \"https://www.youtube.com/watch?v=YTHdInCfaS8\"\n },\n {\n \"position\": 6,\n \"title\": \"KI-Tutorial: Eigene Songs erstellen #KI #ai ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI in 60 sec\",\n \"extensions\": [\n \"KI in 60 sec\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b675cf8d566802006756cb3be8393c855bc1da375d1a73426.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTGAMnOPgORP3RvK9BbKRTxIqek9bLh8sM4QQ\",\n \"date\": \"04.04.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSWFp5Z00z-UOmo3QHWqe3hEeCD0GcHWxoIqijlxPnJYPSAZw&s\",\n \"link\": \"https://www.youtube.com/shorts/pzfbwM8N1cc\"\n },\n {\n \"position\": 7,\n \"title\": \"✅KI Vocals erstellen für Gesang und Chöre #ki #vocals\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Meinkezz Majestik TV\",\n \"extensions\": [\n \"Meinkezz Majestik TV\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b6d2d3c44110f89acf915d8782e57fa35190f481eb06422a2.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRnMrrmY6Wv-2tXij2bK-ubq2qd6lQ1_zuRJg\",\n \"date\": \"04.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS0sNacwI21RPS3awx7ab0xuMPffLMJnL4EGH7Ji--2V46FUw&s\",\n \"link\": \"https://www.youtube.com/watch?v=AAlomD8Hk30\"\n },\n {\n \"position\": 8,\n \"title\": \"🔥 Logic Pro kann das jetzt mit KI! 🎶 Gesang, Drums & Bass ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73bddead8f67df38cca08ec4438672d02ebac7a6d99def1486f.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTdRnD3A_6K2_6peQHUNRtDZQhLYvVccXlUkg\",\n \"date\": \"24.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQnuHItrl9bUXacY6kHHibhjdspkA0r2NWqWUKmNyF9t_m-Lg&s\",\n \"link\": \"https://www.youtube.com/watch?v=cV72IBdSSNE\"\n },\n {\n \"position\": 9,\n \"title\": \"Die Zukunft der Musik: KI ersetzt Konservenmusik?\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Bernd Kiltz - Gitarrenvideos\",\n \"extensions\": [\n \"Bernd Kiltz - Gitarrenvideos\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/f501433c3a88a73b72e5ad34f5535ec6325baa8f1faa9bed9939bd890d6fe4ef.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcQ3GGsx3CjofurlPrCPNQfqMj-H7ad-1knriA\",\n \"date\": \"07.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcS3GNslsSMrODoAMXRY5-VhdkdGT3fdq7DHx0dFqCmMXNuWKg&s\",\n \"link\": \"https://www.youtube.com/watch?v=SmT1YItEfVI\"\n }\n ],\n \"related_questions\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Es ist super einfach, KI-Musik mit AI-Music-Generator-Apps wie dem in Canva integrierten Soundraw zu erstellen. Wenn du KI-Songs produzierst, solltest du diese Tipps beachten: Wähle die richtige Stimmung, das richtige Genre, Thema und die richtige Länge für deinen Musik-Track.\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/#:~:text=Es%20ist%20super%20einfach%2C%20KI,L%C3%A4nge%20f%C3%BCr%20deinen%20Musik%2DTrack.\",\n \"displayed_link\": \"https://www.canva.com › Startseite › Video-Editor\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"date\": \"10.02.2025\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq#:~:text=Yes%2C%20AI%20can%20mix%20music,%2C%20EQ%2C%20and%20effects%20automatically.\",\n \"displayed_link\": \"https://www.aimusicpreneur.com › ai-tools-news › the-4-...\",\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97fbe81b8b1fb792a7f6e38b1d4cd18b0a4e818dcc5799a74a.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": null,\n \"title\": \"Die 9 besten kostenlosen Musikprogramme\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\",\n \"list\": [\n \"Tracktion Waveform Free. ... \",\n \"Garageband. ... \",\n \"Ohm Studio. ... \",\n \"Audacity. ... \",\n \"Pro Tools First. ... \",\n \"Cubase LE. ... \",\n \"Cakewalk by BandLab. ... \",\n \"PreSonus Studio One 5 Prime.\"\n ],\n \"displayed_link\": \"https://imusician.pro › ressourcen › blog › die-besten-ko...\",\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97fbe81b8b1fb792a71ebe2c0f889646b6dfd36a3e2fec4422.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"date\": \"15.01.2025\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/#:~:text=So%20kannst%20du%20mit%20KI%2DMusik%20Geld%20verdienen,-KI%2DMusik%20er%C3%B6ffnet&text=Erstelle%20professionell%20klingende%20Songs%20mit,oder%20Direktverk%C3%A4ufe%20Einnahmen%20zu%20erzielen.\",\n \"displayed_link\": \"https://www.gruender.de › kuenstliche-intelligenz › ki-m...\",\n \"source_logo\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97fbe81b8b1fb792a77647be1e0083b33b5c47b943ad569aea.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D\"\n }\n ],\n \"organic_results\": [\n {\n \"position\": 1,\n \"title\": \"Mit KI-Music erstellen\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.loudly.com/ki-musik-erstellen&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECAkQAQ\",\n \"displayed_link\": \"https://www.loudly.com › ki-musik-erstellen\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929e6404ec987ceeca7d468df2558b2d093.png\",\n \"date\": \"13.12.2023\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"snippet_highlighted_words\": [\n \"Nutze die KI von Loudly, für deine Musikerstellung\"\n ],\n \"source\": \"Loudly\"\n },\n {\n \"position\": 2,\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://mind-force.de/marketing/ki-song-generatoren/&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECBwQAQ\",\n \"displayed_link\": \"https://mind-force.de › Marketing\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929ef4443cc2de96a5459654a36db3cc66e.png\",\n \"date\": \"21.03.2025\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"snippet_highlighted_words\": [\n \"KI-Song-Generatoren können selbstständig Musik generieren\"\n ],\n \"source\": \"mind-force.de\"\n },\n {\n \"position\": 3,\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.canva.com/de_de/funktionen/ai-music-generator/&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECB8QAQ\",\n \"displayed_link\": \"https://www.canva.com › Startseite › Video-Editor\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b92991fad948e884bc4fe6074b761b59344d.png\",\n \"snippet\": \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva. Erstelle ganz einfach Songs, auch ohne komponieren zu können.\",\n \"snippet_highlighted_words\": [\n \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva\"\n ],\n \"source\": \"Canva\"\n },\n {\n \"position\": 4,\n \"title\": \"Suno – KI-Musik – Apps bei Google Play\",\n \"link\": \"https://play.google.com/store/apps/details?id=com.suno.android&hl=de\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://play.google.com/store/apps/details%3Fid%3Dcom.suno.android%26hl%3Dde&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDkQAQ\",\n \"displayed_link\": \"https://play.google.com › store › apps › details\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929ae9db98e274cc028eabba3c542cebe8d.png\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. ... Starte mit 10 kostenlosen Songs (50 Gratis- ...\",\n \"snippet_highlighted_words\": [\n \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren\"\n ],\n \"rich_snippet\": {\n \"top\": {\n \"detected_extensions\": {\n \"rating\": 4.8,\n \"reviews\": 308499\n },\n \"extensions\": [\n \"4,8(308.499)\",\n \"Kostenlos\",\n \"Android\",\n \"Unterhaltung Rezensionen werden von der Google Suche nicht überprüft\"\n ]\n }\n },\n \"source\": \"Google Play\"\n },\n {\n \"position\": 5,\n \"title\": \"KI Musik erstellen: Musik mit KI generieren\",\n \"link\": \"https://makebestmusic.com/de/app/create-music-new\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://makebestmusic.com/de/app/create-music-new&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDYQAQ\",\n \"displayed_link\": \"https://makebestmusic.com › app › create-music-new\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929ff82dc05659cc1daf0a8ae091d7ac181.png\",\n \"snippet\": \"Verwenden Sie den KI-Musikgenerator, um mit einem Klick hochwertige instrumentale Musik oder Popmusik zu erzeugen.\",\n \"snippet_highlighted_words\": [\n \"Verwenden Sie den KI-Musikgenerator\"\n ],\n \"source\": \"MakeBestMusic\"\n },\n {\n \"position\": 6,\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos ...\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://aisonggenerator.io/de&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECD0QAQ\",\n \"displayed_link\": \"https://aisonggenerator.io › ...\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b92900ab442288aa38610aaae4b08ad8ac43.png\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"snippet_highlighted_words\": [\n \"KI Musik - Song Generator\"\n ],\n \"source\": \"AI Song Generator\"\n },\n {\n \"position\": 7,\n \"title\": \"Suno- KI-Musik im App Store\",\n \"link\": \"https://apps.apple.com/de/app/suno-ki-musik/id6480136315\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://apps.apple.com/de/app/suno-ki-musik/id6480136315&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDgQAQ\",\n \"displayed_link\": \"https://apps.apple.com › app › suno-ki-musik\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b9291ff4e8bd0c8c3262c88d24d698513826.png\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. Entdecke folgende Funktionen: • Erstelle Songs ...\",\n \"snippet_highlighted_words\": [\n \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren\"\n ],\n \"rich_snippet\": {\n \"top\": {\n \"detected_extensions\": {\n \"rating\": 4.9,\n \"reviews\": 10118\n },\n \"extensions\": [\n \"4,9(10.118)\",\n \"Kostenlos\",\n \"iOS Rezensionen werden von der Google Suche nicht überprüft\"\n ]\n }\n },\n \"source\": \"Apple\"\n },\n {\n \"position\": 8,\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74QFnoECDcQAQ\",\n \"displayed_link\": \"https://www.zdf.de › Startseite › Wissen\",\n \"favicon\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/1801d18172b57c8890c7bdc37e43b929f532ff36f174df6090e8e4ecd104707e.png\",\n \"date\": \"29.03.2024\",\n \"snippet\": \"Die KI kann heute einen kompletten Song erstellen, der sich anhört, als hätte jemand ihn geschrieben, der Musik studiert hat und seit 20 Jahren ...\",\n \"snippet_highlighted_words\": [\n \"Die KI kann heute einen kompletten Song erstellen\"\n ],\n \"source\": \"ZDF\"\n }\n ],\n \"top_stories_link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&udm=7&q=mit+ki+musik+erstellen&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8ccDKAJ6BAgaEAQ\",\n \"top_stories_serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen\",\n \"related_searches\": [\n {\n \"block_position\": 1,\n \"items\": [\n {\n \"name\": \"Suno AI\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a83e7399137caa44257626c75465a730e5.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREAk\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA\"\n },\n {\n \"name\": \"Udio\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a8a72ef82bca9f334c7220e9483e8c989c.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREA4\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA\"\n },\n {\n \"name\": \"ChatGPT\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a8200abd98b34297d88f2816e39110dfd5.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREBM\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA\"\n },\n {\n \"name\": \"AIVA\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a81ff6bfe06374623c24e2e1446e408b93.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREBg\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA\"\n },\n {\n \"name\": \"Riffusion\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a86cc20f3312d5a81ba352a942566488a7.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhREB0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA\"\n },\n {\n \"name\": \"Claude\",\n \"image\": \"https://serpapi.com/searches/68112b375f6d02daaeef0fa9/images/999191974d302e97c09d30b250ee5f6e2e94ff35478490a850ca45b896705ff2ac665074cf6bf331.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Qs9oBKAB6BAhRECI\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA\"\n }\n ]\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhaEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen kostenlos deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+deutsch&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhbEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+deutsch\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos App\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+App&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhXEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+App\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen mit text\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+mit+text&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhWEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+mit+text\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos Suno\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+Suno&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhYEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+Suno\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song generator mit text kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+generator+mit+text+kostenlos&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhUEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+generator+mit+text+kostenlos\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song Generator Deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+Generator+Deutsch&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhTEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=KI+Song+Generator+Deutsch\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen kostenlos ohne anmeldung\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+ohne+anmeldung&sa=X&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q1QJ6BAhZEAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+ohne+anmeldung\"\n }\n ],\n \"pagination\": {\n \"current\": 1,\n \"next\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=10&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8NMDegQIMxAW\",\n \"other_pages\": {\n \"2\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=10&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAE\",\n \"3\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=20&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAG\",\n \"4\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=30&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAI\",\n \"5\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=40&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAK\",\n \"6\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=50&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAM\",\n \"7\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=60&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAO\",\n \"8\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=70&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAQ\",\n \"9\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=80&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAS\",\n \"10\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&ei=OCsRaNXvB__Tp84PvZ3t8As&start=90&sa=N&sstk=Af40H4XFPRBcJjQjIvC-a3h2Hegg6pDWaYd3txgWoG6EhPoyDgaq72ipR2LvTLm4w2sMY8U82b9nNmDm-H18ufm2NLSluqOv5uLHJg&ved=2ahUKEwjV6-TN__2MAxX_6ckDHb1OG74Q8tMDegQIMxAU\"\n }\n },\n \"serpapi_pagination\": {\n \"current\": 1,\n \"next_link\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"next\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"other_pages\": {\n \"2\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"3\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=20\",\n \"4\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=30\",\n \"5\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=40\",\n \"6\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=50\",\n \"7\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=60\",\n \"8\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=70\",\n \"9\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=80\",\n \"10\": \"https://serpapi.com/search.json?device=desktop&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=90\"\n }\n }\n }\n }\n ],\n \"get_mobile_serp_results\": [\n {\n \"json\": {\n \"search_metadata\": {\n \"id\": \"68112b3535d3b44e49b5dfb5\",\n \"status\": \"Success\",\n \"json_endpoint\": \"https://serpapi.com/searches/0a410b13821bc461/68112b3535d3b44e49b5dfb5.json\",\n \"created_at\": \"2025-04-29 19:40:37 UTC\",\n \"processed_at\": \"2025-04-29 19:40:37 UTC\",\n \"google_url\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&sourceid=chrome-mobile&ie=UTF-8\",\n \"raw_html_file\": \"https://serpapi.com/searches/0a410b13821bc461/68112b3535d3b44e49b5dfb5.html\",\n \"total_time_taken\": 1.58\n },\n \"search_parameters\": {\n \"engine\": \"google\",\n \"q\": \"mit ki musik erstellen\",\n \"google_domain\": \"google.com\",\n \"gl\": \"de\",\n \"device\": \"mobile\"\n },\n \"search_information\": {\n \"query_displayed\": \"mit ki musik erstellen\"\n },\n \"knowledge_graph\": {\n \"entity_type\": \"webanswers\"\n },\n \"inline_videos\": [\n {\n \"position\": 1,\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"thumbnail\": \"https://i.ytimg.com/vi/F5-NRSn1RAE/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3lPzIZBBijJEG62_301Ov-UxlVN4Q\",\n \"duration\": \"6:48\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Vorstellung der Plattform Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=0\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSOtt9h0kV3S13IH9XMCmrEuz-6Z35oTxij004QWQAU-Q&s\"\n },\n {\n \"time\": \"01:13\",\n \"title\": \"Eigenen Song erstellen in Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=73\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcShrlWOFXQKCAOs28IlRiF4okkG0Wj3Cek33dQ1U5CvsQ&s\"\n },\n {\n \"time\": \"03:10\",\n \"title\": \"Eigener Jingle anhören Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=190\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSslChcstGssqA3zaPmea51jW3sogdSEJfivE4bqc5h1g&s\"\n },\n {\n \"time\": \"04:15\",\n \"title\": \"Einstellungen Udio\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE&t=255\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ86E1bBQ4_Ezw_vgjksGF2R-ZOCg9v9gBbQ5YAfzbG3w&s\"\n }\n ]\n },\n {\n \"position\": 2,\n \"title\": \"KI Musik erstellen - Wahnsinnig gute Musik mit Suno Ai erstellen\",\n \"link\": \"https://www.youtube.com/watch?v=B3NvostkdS0\",\n \"thumbnail\": \"https://i.ytimg.com/vi/B3NvostkdS0/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3kwU_sPn1LGDLh-FepEix1k125HEw\",\n \"duration\": \"6:54\"\n },\n {\n \"position\": 3,\n \"title\": \"Was kann KI? Wir erstellen einen Song\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s\",\n \"thumbnail\": \"https://i.ytimg.com/vi/q8sUZdgOM4s/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3npmda-u2anO86wI4Ln9F2VxH3csw\",\n \"duration\": \"25:10\",\n \"key_moments\": [\n {\n \"time\": \"00:00\",\n \"title\": \"Intro/ Begrüßung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=0\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQY37YF5aEgbghx9EyjbBR01nct-5B8bb-1Nehe0gjigw&s\"\n },\n {\n \"time\": \"01:22\",\n \"title\": \"Vorstellung SUNO\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=82\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTJmX1Kqpgs6F8vfY2e0xex5kgObVebpmiPqzoYd3sE1Q&s\"\n },\n {\n \"time\": \"02:40\",\n \"title\": \"Song Reaction\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=160\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSFwsw81w7JFr8S6_Oljbh18Zud5RQCstmz1ZpFmv7dng&s\"\n },\n {\n \"time\": \"06:14\",\n \"title\": \"Lied Analyse\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=374\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQnNw0lyvcOZq8q_2MXX3cdKfFA_FqJdf4dCr4bjHb_Qg&s\"\n },\n {\n \"time\": \"10:20\",\n \"title\": \"Urheberrecht\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=620\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTf7E0F9yd1dzo7dpkG-yTyeeHv-jp4s_auNl-3m5wFPA&s\"\n },\n {\n \"time\": \"12:06\",\n \"title\": \"Aufnahme Teil 1\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=726\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTbIvcmFQl2Y30NqbGrjl88NogMdny0z7Mr3WJc2WUn0g&s\"\n },\n {\n \"time\": \"14:02\",\n \"title\": \"KI und seine Folgen\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=842\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSvDWAQ7IStFf9AV4wZPvKwpPnGI0CNoLg75FLNvSqmaw&s\"\n },\n {\n \"time\": \"15:10\",\n \"title\": \"GEMA Studie\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=910\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQHgSO2sK6N6BBFkMxAxdp8_FOw9ZKJbfznZphSDZyApw&s\"\n },\n {\n \"time\": \"17:07\",\n \"title\": \"Aufnahme Teil 2\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1027\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ9LUFFdBErrs1yqwAi2jTa8pMbA1I-1srxpKmr4JNiag&s\"\n },\n {\n \"time\": \"18:21\",\n \"title\": \"Chancen mit KI\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1101\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRiHzyZeYr3lpfPm1SVlaiwXHmBgVsEUxpmvOq_UkYhKQ&s\"\n },\n {\n \"time\": \"21:04\",\n \"title\": \"Unser Fazit?\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1264\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRNN74p6ZyvCjzNncT6cz6ot8L_ZgsnBCIE2Z7o93F0ew&s\"\n },\n {\n \"time\": \"21:59\",\n \"title\": \"Unterrichtsmethoden\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1319\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTAwXDPVMQxmmztK_5Z90vqz265nhMApJu3hJod0SY4TA&s\"\n },\n {\n \"time\": \"22:57\",\n \"title\": \"Ergebnis der Aufnahme\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1377\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQAOPHpEoqqWgmozMhLTslT1n47aP74paXIknWLF9uHEg&s\"\n },\n {\n \"time\": \"24:41\",\n \"title\": \"Verabschiedung\",\n \"link\": \"https://www.youtube.com/watch?v=q8sUZdgOM4s&t=1481\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ2vn5g-_6YX9cLXVhumDnG-gNv6JCg7KRSOzoKUnrigQ&s\"\n }\n ]\n },\n {\n \"position\": 4,\n \"title\": \"Gesang mit Künstlicher Intelligenz erstellen: Die besten KI Tools für AI ...\",\n \"link\": \"https://www.youtube.com/watch?v=e1y527O9ZhU\",\n \"thumbnail\": \"https://i.ytimg.com/vi/e1y527O9ZhU/mqdefault.jpg?sqp=-oaymwEFCIcBEEw&rs=AMzJL3mvN2vf9ppFtTJahgo1rNMSgc46Bw\",\n \"duration\": \"18:21\"\n }\n ],\n \"short_videos\": [\n {\n \"position\": 1,\n \"title\": \"Mit #KI Musik generieren? So geht's! #SunoAI #Musik #Papaplatte ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI-Campus\",\n \"extensions\": [\n \"KI-Campus\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c042d5c54b197ee76a0437ebdd9f308a75d6a3db2923347ead2f.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcQQqBZ51Orv3tnKnG78X7XlHOsfRHfWmfJjqg\",\n \"date\": \"15.01.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSYVCl6eJXzlqmhMu86snFaJ9_j3DkRJR3YpMFf9hErv7Rt8Q&s\",\n \"link\": \"https://www.youtube.com/watch?v=L8CoDolwfFs\"\n },\n {\n \"position\": 2,\n \"title\": \"Künstliche Intelligenz nutzen um KI Songs zu erstellen #aimusic #ai\",\n \"source\": \"YouTube\",\n \"profile_name\": \"eBakery\",\n \"extensions\": [\n \"eBakery\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c04232901e9b6a544e0ffd46c89017456db0b6a2d52dc86f8933.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTmUXSFrM4keI1KW6fh4QmszhzXCLnW-05A2A\",\n \"date\": \"17.07.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTIGfLTHnrD_XOG80YIZs3AVYsA69Grn8miZNn-LTQG5ExH0A&s\",\n \"link\": \"https://www.youtube.com/watch?v=IRdRXZiPz8E\"\n },\n {\n \"position\": 3,\n \"title\": \"🚀 Workshop heute: KI in der Musikproduktion!\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster Musikproduktion\",\n \"extensions\": [\n \"Thomas Foster Musikproduktion\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c0425adaa4226fbf81788017c1d7b76320728c2fb9e57c023850.png\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRkQ6JEfjho-acq7FuSUysz4MW4SS_yh6OqKw\",\n \"date\": \"09.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRL0YjrSm9meX4xXSdookCUVUQI7BNEPXZw3e-0VejSQc6DhA&s\",\n \"link\": \"https://www.youtube.com/watch?v=nD2m6Z7OeOQ\"\n },\n {\n \"position\": 4,\n \"title\": \"Song mit KI erstellen: So funktioniert's! von jps_mp3 auf TikTok. Auf TikTok wiedergeben.\",\n \"source\": \"TikTok\",\n \"profile_name\": \"jps_mp3\",\n \"extensions\": [\n \"jps_mp3\"\n ],\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/eb8edcdeb826c042a7e981c624216e2b284ade9b6430c8f9a5b45ede9835ae55.png\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR80H46uAQe2rh1Qzc_XiFrH47QaP2EgBhVLx1fKjfqsFyEGg&s\",\n \"link\": \"https://www.tiktok.com/@jps_mp3/video/7492871368460012822\"\n },\n {\n \"position\": 5,\n \"title\": \"So machst du ein Musikvideo mit KI – ohne Budget, ohne Team, in ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRCbLhHJDfCefIG9AW2TUL6dUi3BXE49_bMtQ\",\n \"date\": \"16.04.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcR3P4mHSSDR9FE6bdq9dt2fxFrK0kA6TpIEKFJNhHPOUFoFgQ&s\",\n \"link\": \"https://www.youtube.com/watch?v=YTHdInCfaS8\"\n },\n {\n \"position\": 6,\n \"title\": \"KI-Tutorial: Eigene Songs erstellen #KI #ai #künstlicheintelligenz\",\n \"source\": \"YouTube\",\n \"profile_name\": \"KI in 60 sec\",\n \"extensions\": [\n \"KI in 60 sec\"\n ],\n \"source_logo\": \"https://encrypted-tbn1.gstatic.com/favicon-tbn?q=tbn%3AANd9GcQg1LLtOd5Hwt02ACMO_UPBo3N49NsULfJVXRD05KSNMsKENyyollYshjaFcP9mJmlxu8eM_7jl4ngyFUIc9AZwbz1XGAnF\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTGAMnOPgORP3RvK9BbKRTxIqek9bLh8sM4QQ\",\n \"date\": \"04.04.2024\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcTTsh2Ytp9OKG5qxu5pHqQga7-Y-yJQfK6ve-smf-Qg3ZtYEQ&s\",\n \"link\": \"https://m.youtube.com/shorts/pzfbwM8N1cc\"\n },\n {\n \"position\": 7,\n \"title\": \"🔥AI Music Creation: Composing Tracks in 60 Seconds! #shorts #simplilearn\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Simplilearn\",\n \"extensions\": [\n \"Simplilearn\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcSGMMF5pphquiA_6D2nqGwWVZOmRp4NMASTqw\",\n \"date\": \"21.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQtsCXlaY5bQ1VaYYtV9tZTDCmCFsFtvt4sIhu6KhLwrMegng&s\",\n \"link\": \"https://www.youtube.com/watch?v=BoTirHe1g38\"\n },\n {\n \"position\": 8,\n \"title\": \"✅KI Vocals erstellen für Gesang und Chöre #ki #vocals\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Meinkezz Majestik TV\",\n \"extensions\": [\n \"Meinkezz Majestik TV\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcRnMrrmY6Wv-2tXij2bK-ubq2qd6lQ1_zuRJg\",\n \"date\": \"04.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRjmOkd7ZQduLI4c6rvFx_6B2WNTL4GOGjRIs7G8FaKiPFt2Q&s\",\n \"link\": \"https://www.youtube.com/watch?v=AAlomD8Hk30\"\n },\n {\n \"position\": 9,\n \"title\": \"🔥 Logic Pro kann das jetzt mit KI! 🎶 Gesang, Drums & Bass automatisch ...\",\n \"source\": \"YouTube\",\n \"profile_name\": \"Thomas Foster - Sound & Vision\",\n \"extensions\": [\n \"Thomas Foster - Sound & Vision\"\n ],\n \"source_logo\": \"https://encrypted-tbn2.gstatic.com/favicon-tbn?q=tbn%3AANd9GcSCxBIWene48_K-t10xkc7X0UmDgksKRmoTCJtAuta3PfnC9Jj2HwAjJlGIU9AjcYjWRpoeZ05LlF2X-iSfFNjVFv6qwQpud2s\",\n \"clip\": \"https://encrypted-vtbn0.gstatic.com/video?q=tbn:ANd9GcTdRnD3A_6K2_6peQHUNRtDZQhLYvVccXlUkg\",\n \"date\": \"24.03.2025\",\n \"thumbnail\": \"https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcRk1-X8Nt_xvpuXBcC1u8-cpJm_aqGTdCysiNz4PTKsK1Z-Mw&s\",\n \"link\": \"https://www.youtube.com/watch?v=cV72IBdSSNE\"\n }\n ],\n \"related_questions\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Die KI für Musik ist ideal für Künstler, die etwas außergewöhnliches suchen. Ob du Content Creator, Filmemacher, DJ, Musikproduzent oder einfach jemand bist, der einen beeindruckenden Song mit KI-Musik erstellen möchte, eine KI für Musik ist dein bester Verbündeter.\",\n \"title\": \"MIT KI-Musik erstellen - Loudly\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen#:~:text=Die%20KI%20f%C3%BCr%20Musik%20ist,Musik%20ist%20dein%20bester%20Verb%C3%BCndeter.\",\n \"displayed_link\": \"https://www.loudly.com\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaa0ca06fa3948f827d30baaa44fc28cb48.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"date\": \"10.02.2025\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq#:~:text=Yes%2C%20AI%20can%20mix%20music,%2C%20EQ%2C%20and%20effects%20automatically.\",\n \"displayed_link\": \"https://www.aimusicpreneur.com\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaaceab37e245ba40ec316d5be48aacf927.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": null,\n \"title\": \"Die 9 besten kostenlosen Musikprogramme\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\",\n \"list\": [\n \"Tracktion Waveform Free. ... \",\n \"Garageband. ... \",\n \"Ohm Studio. ... \",\n \"Audacity. ... \",\n \"Pro Tools First. ... \",\n \"Cubase LE. ... \",\n \"Cakewalk by BandLab. ... \",\n \"PreSonus Studio One 5 Prime.\"\n ],\n \"displayed_link\": \"https://imusician.pro\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaaee119d586cff9a1c3656d70151d97c29.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"date\": \"15.01.2025\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/#:~:text=So%20kannst%20du%20mit%20KI%2DMusik%20Geld%20verdienen,-KI%2DMusik%20er%C3%B6ffnet&text=Erstelle%20professionell%20klingende%20Songs%20mit,oder%20Direktverk%C3%A4ufe%20Einnahmen%20zu%20erzielen.\",\n \"displayed_link\": \"https://www.gruender.de\",\n \"source_logo\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff1e34d6e291494aaa6bf3ba6d90400e8f4c72961edacaf1da.png\",\n \"next_page_token\": \"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\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=desktop&engine=google_related_questions&google_domain=google.com&next_page_token=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%3D%3D\"\n }\n ],\n \"answer_box\": {\n \"type\": \"organic_result\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"displayed_link\": \"https://www.canva.com\",\n \"snippet\": \"So verwendest du den AI Music Generator von Canva\",\n \"snippet_highlighted_words\": [\n \"So verwendest du den AI Music Generator von Canva\",\n \"Music\"\n ],\n \"list\": [\n \"Starte Canva. Öffne Canva im Web-Browser oder in der App. ... \",\n \"Greife auf den AI Music Generator zu. ... \",\n \"Erstelle die KI-Song-Liste. ... \",\n \"Passe deinen KI-Song an. ... \",\n \"Lade deinen Soundtrack herunter oder teile ihn online.\"\n ],\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/638a394bd2ed039b005e884786b84f8fd8cabeb1db3397b3.png\"\n },\n \"organic_results\": [\n {\n \"position\": 1,\n \"title\": \"Mit KI-Music erstellen\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.loudly.com/ki-musik-erstellen&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECFAQAQ&usg=AOvVaw3DjUV-NhCFfXNG-U3Q29gO\",\n \"displayed_link\": \"https://www.loudly.com\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d059cd62add3d7109e3297e7f88c1189ddb.png\",\n \"date\": \"13.12.2023\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"source\": \"Loudly\"\n },\n {\n \"position\": 2,\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://mind-force.de/marketing/ki-song-generatoren/&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEQQAQ&usg=AOvVaw09SoxAUB-lRXMB8uZbQOhY\",\n \"displayed_link\": \"https://mind-force.de\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d05df34c2e7aff158bc0a9618d8f7379435.png\",\n \"date\": \"21.03.2025\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"source\": \"mind-force.de\"\n },\n {\n \"position\": 3,\n \"title\": \"KI Musik erstellen: Musik mit KI generieren\",\n \"link\": \"https://makebestmusic.com/de/app/create-music-new\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://makebestmusic.com/de/app/create-music-new&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEUQAQ&usg=AOvVaw1rNRCO1UOGdYLbnPk7Ldg1\",\n \"displayed_link\": \"https://makebestmusic.com\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d05b5e325ffbf73286af336eb50fec34ece.png\",\n \"snippet\": \"Verwenden Sie den KI-Musikgenerator, um mit einem Klick hochwertige instrumentale Musik oder Popmusik zu erzeugen.\",\n \"source\": \"MakeBestMusic\"\n },\n {\n \"position\": 4,\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos, Leistungsstark)\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://aisonggenerator.io/de&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEIQAQ&usg=AOvVaw1ZNOQOUoTNP7NCdRI2KKXq\",\n \"displayed_link\": \"https://aisonggenerator.io\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d0506f67e733fa6d9ef25b22635040e77f0.png\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"source\": \"AI Song Generator\"\n },\n {\n \"position\": 5,\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick - ZDFheute\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEMQAQ&usg=AOvVaw22l3LP-eVW1owswKoxuGi8\",\n \"displayed_link\": \"https://www.zdf.de\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d0539a3d1a562944c524fc0757e09304e49.png\",\n \"date\": \"29.03.2024\",\n \"snippet\": \"KI-Modelle wie Suno AI können laut Foster die Arbeit von Musikproduzenten nicht ersetzen, aber Inspiration liefern oder beim Komponieren helfen.\",\n \"source\": \"ZDF\"\n },\n {\n \"position\": 6,\n \"title\": \"Die 10 besten KI-Musikgeneratoren (April 2025)\",\n \"link\": \"https://www.unite.ai/de/best-ai-music-generators/\",\n \"redirect_link\": \"https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.unite.ai/de/best-ai-music-generators/&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QFnoECEYQAQ&usg=AOvVaw1fR4fuCWcsbfFUnu4ID1SD\",\n \"displayed_link\": \"https://www.unite.ai\",\n \"favicon\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/1bcee8c0d502d14b084ae7f8b2f38d05db1355d778f785cde1bd73957f1f1b1c.png\",\n \"date\": \"13.04.2025\",\n \"snippet\": \"FlexClip AI Music Generator bietet eine nahtlose Möglichkeit, KI-generierte Songs zu erstellen, ohne dass musikalisches Fachwissen erforderlich ...\",\n \"source\": \"Unite.AI\"\n }\n ],\n \"filters\": [\n {\n \"name\": \"App\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RR9k1vcX8nQENlB_ST8PB-eemXJFQOc2B-8lxILBOt0CrsZKvmsqOqIIYW6nxS-R8Eq9QC-q36-z0Y5UVLVeitQGF4eJU3nvCKB17Z8E9yQJRQnWZuw3Ol79ZslGwKa5tBee2oTdjdUSnFQIzBz8VB4ghwPngk_l5BICqSlX25py_uEzf7-K_AuMB4jhFIGM824lAK6w\",\n \"q\": \"Ki app musik erstellen\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Ki+app+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR9k1vcX8nQENlB_ST8PB-eemXJFQOc2B-8lxILBOt0CrsZKvmsqOqIIYW6nxS-R8Eq9QC-q36-z0Y5UVLVeitQGF4eJU3nvCKB17Z8E9yQJRQnWZuw3Ol79ZslGwKa5tBee2oTdjdUSnFQIzBz8VB4ghwPngk_l5BICqSlX25py_uEzf7-K_AuMB4jhFIGM824lAK6w&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIDRAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Ki+app+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR9k1vcX8nQENlB_ST8PB-eemXJFQOc2B-8lxILBOt0CrsZKvmsqOqIIYW6nxS-R8Eq9QC-q36-z0Y5UVLVeitQGF4eJU3nvCKB17Z8E9yQJRQnWZuw3Ol79ZslGwKa5tBee2oTdjdUSnFQIzBz8VB4ghwPngk_l5BICqSlX25py_uEzf7-K_AuMB4jhFIGM824lAK6w\"\n },\n {\n \"name\": \"Gesang\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RR-U7ulYFJvOEfk2azzLH_P01AIxlAciLtCRlwB6YtbHg1IvCfWIRH6N22dX_VLPd05SAMrV2VXOH7kSIlRcmLhaI4mrZODiciVOcWWWUTw17w7HYmnVfrf-W8MjGxe6G0inZoclwyAa0Tha9JUFR93HMlZoX3RhhyuiwdRru65TrKZOYxLKAxGeSyn6VHhbS8gzVBJA\",\n \"q\": \"ki musik erstellen mit gesang\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki+musik+erstellen+mit+gesang&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR-U7ulYFJvOEfk2azzLH_P01AIxlAciLtCRlwB6YtbHg1IvCfWIRH6N22dX_VLPd05SAMrV2VXOH7kSIlRcmLhaI4mrZODiciVOcWWWUTw17w7HYmnVfrf-W8MjGxe6G0inZoclwyAa0Tha9JUFR93HMlZoX3RhhyuiwdRru65TrKZOYxLKAxGeSyn6VHhbS8gzVBJA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIEBAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki+musik+erstellen+mit+gesang&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR-U7ulYFJvOEfk2azzLH_P01AIxlAciLtCRlwB6YtbHg1IvCfWIRH6N22dX_VLPd05SAMrV2VXOH7kSIlRcmLhaI4mrZODiciVOcWWWUTw17w7HYmnVfrf-W8MjGxe6G0inZoclwyAa0Tha9JUFR93HMlZoX3RhhyuiwdRru65TrKZOYxLKAxGeSyn6VHhbS8gzVBJA\"\n },\n {\n \"name\": \"Suno\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RR0XZ2aQnFevpyaU-zqppoerHdLKPpUXCkdfjqILKIs1g2Vv8ZuOUdVNrMYZ98IJzWv5LhnQY-eiuCWn-xUFOca8HJYHS8Esode4G95ZtcA2DBHhgwxsjR29T8PMK3UfDHsco3MYZ9b-_YfGKwTy9jE800Irftq3WV0ZK7_2I3OwObwdEb3m0wul2wGQjsiAS_DU54BQ\",\n \"q\": \"Ki musik erstellen Suno\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Ki+musik+erstellen+Suno&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR0XZ2aQnFevpyaU-zqppoerHdLKPpUXCkdfjqILKIs1g2Vv8ZuOUdVNrMYZ98IJzWv5LhnQY-eiuCWn-xUFOca8HJYHS8Esode4G95ZtcA2DBHhgwxsjR29T8PMK3UfDHsco3MYZ9b-_YfGKwTy9jE800Irftq3WV0ZK7_2I3OwObwdEb3m0wul2wGQjsiAS_DU54BQ&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIDxAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Ki+musik+erstellen+Suno&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RR0XZ2aQnFevpyaU-zqppoerHdLKPpUXCkdfjqILKIs1g2Vv8ZuOUdVNrMYZ98IJzWv5LhnQY-eiuCWn-xUFOca8HJYHS8Esode4G95ZtcA2DBHhgwxsjR29T8PMK3UfDHsco3MYZ9b-_YfGKwTy9jE800Irftq3WV0ZK7_2I3OwObwdEb3m0wul2wGQjsiAS_DU54BQ\"\n },\n {\n \"name\": \"Text\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RRE0hdwbQg6OOqzlkhQXnwA6s1NZpoJ1nwGbV4st_E26AvY4mK5--R_kimwtkn2F4d6Up-3atsDmDZcSyqE38dIonQHsYsWIQpTeSd20Xsu-EMplhrdO1NgDMK6G872A4njzXwzojtd792qHGxgcNAowjB96JaN6vIhX0ifVrigGANnlmykeN5zj8FZ9EC_ASF5T6_bpeiN3mfXSvN5Fa097L1uaE\",\n \"q\": \"KI-Musik erstellen mit Text\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI-Musik+erstellen+mit+Text&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRE0hdwbQg6OOqzlkhQXnwA6s1NZpoJ1nwGbV4st_E26AvY4mK5--R_kimwtkn2F4d6Up-3atsDmDZcSyqE38dIonQHsYsWIQpTeSd20Xsu-EMplhrdO1NgDMK6G872A4njzXwzojtd792qHGxgcNAowjB96JaN6vIhX0ifVrigGANnlmykeN5zj8FZ9EC_ASF5T6_bpeiN3mfXSvN5Fa097L1uaE&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIEhAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI-Musik+erstellen+mit+Text&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRE0hdwbQg6OOqzlkhQXnwA6s1NZpoJ1nwGbV4st_E26AvY4mK5--R_kimwtkn2F4d6Up-3atsDmDZcSyqE38dIonQHsYsWIQpTeSd20Xsu-EMplhrdO1NgDMK6G872A4njzXwzojtd792qHGxgcNAowjB96JaN6vIhX0ifVrigGANnlmykeN5zj8FZ9EC_ASF5T6_bpeiN3mfXSvN5Fa097L1uaE\"\n },\n {\n \"name\": \"Anmeldung\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RRA1uYqulNJXOLRk3AYweT-c0OuPWLg_1uqABgOJmwl3koR_VFsO77mSy6uJfkEoscBU4YgILBJaS0_Acd1sUtzrMTeEx1t5LgJ8gSbTtPV_O25gAnS1Wo8LdtNJdH-dBePRk0bnlAYmqy2UTxKVoqqEWrrluVGZgsdE1WPoUmfVNYaNeimVGOFQ-rxiofAxUShesa2kapsDINonxRS-Bvu22o9HU\",\n \"q\": \"ki musik erstellen ohne anmeldung\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki+musik+erstellen+ohne+anmeldung&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRA1uYqulNJXOLRk3AYweT-c0OuPWLg_1uqABgOJmwl3koR_VFsO77mSy6uJfkEoscBU4YgILBJaS0_Acd1sUtzrMTeEx1t5LgJ8gSbTtPV_O25gAnS1Wo8LdtNJdH-dBePRk0bnlAYmqy2UTxKVoqqEWrrluVGZgsdE1WPoUmfVNYaNeimVGOFQ-rxiofAxUShesa2kapsDINonxRS-Bvu22o9HU&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIERAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki+musik+erstellen+ohne+anmeldung&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRA1uYqulNJXOLRk3AYweT-c0OuPWLg_1uqABgOJmwl3koR_VFsO77mSy6uJfkEoscBU4YgILBJaS0_Acd1sUtzrMTeEx1t5LgJ8gSbTtPV_O25gAnS1Wo8LdtNJdH-dBePRk0bnlAYmqy2UTxKVoqqEWrrluVGZgsdE1WPoUmfVNYaNeimVGOFQ-rxiofAxUShesa2kapsDINonxRS-Bvu22o9HU\"\n },\n {\n \"name\": \"Canva\",\n \"parameters\": {\n \"uds\": \"ABqPDvztZD_Nu18FR6tNPw2cK_RRQBNMTCiWiJVtIo1dBFbGz5nQtBLTLEqU9sRTFZVKZcUreuEbaisQboV2JIdC1H01ltUNXjePbTxrvaQQ7ROa9SauoePZ0ex9U2VS2CJQO8xBB4qwrNUK0CceSOaOp415O9eArh7OLGnnEhLHuxt5JsrgdxNoPO2_i6OcrmjYur52SOeVFPWru5SYIBKEeWRdMr2fRw\",\n \"q\": \"canva ki musik erstellen\"\n },\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=canva+ki+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRQBNMTCiWiJVtIo1dBFbGz5nQtBLTLEqU9sRTFZVKZcUreuEbaisQboV2JIdC1H01ltUNXjePbTxrvaQQ7ROa9SauoePZ0ex9U2VS2CJQO8xBB4qwrNUK0CceSOaOp415O9eArh7OLGnnEhLHuxt5JsrgdxNoPO2_i6OcrmjYur52SOeVFPWru5SYIBKEeWRdMr2fRw&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0QxKsJegQIFBAB&ictx=0\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=canva+ki+musik+erstellen&uds=ABqPDvztZD_Nu18FR6tNPw2cK_RRQBNMTCiWiJVtIo1dBFbGz5nQtBLTLEqU9sRTFZVKZcUreuEbaisQboV2JIdC1H01ltUNXjePbTxrvaQQ7ROa9SauoePZ0ex9U2VS2CJQO8xBB4qwrNUK0CceSOaOp415O9eArh7OLGnnEhLHuxt5JsrgdxNoPO2_i6OcrmjYur52SOeVFPWru5SYIBKEeWRdMr2fRw\"\n }\n ],\n \"top_stories_link\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&sca_esv=cf65d87ff3121f3e&gl=de&udm=39&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q3egMegQIOxAO\",\n \"top_stories_serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen\",\n \"related_searches\": [\n {\n \"block_position\": 1,\n \"items\": [\n {\n \"name\": \"Suno AI\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a891470018884d03192a2b31e6ae658955663a.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAJ\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Suno+AI&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwuSy-2SMtI-cXIsIGF4RULPxeqOEKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrOzBpXn5Co6et9gkGcL8wj8nzjjM9m5fVVpxgiKX5qzoRwfuWa1bxCHhmJeSWpSqUFyanFGSmqeQCKQV8hKTM1ZwMAIAc6ZWWgwBAAA\"\n },\n {\n \"name\": \"Udio\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a89147ff721c8fcdbad0b06cd983b6136020b7.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAO\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=UDIO&stick=H4sIAAAAAAAAAOMwVOLVT9c3NKw0js9IL65M-8XIsIGF4RULPxdEvLgsvdgiLSMFIQJTiRDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWllAXT_9bbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAebGKuEJAQAA\"\n },\n {\n \"name\": \"ChatGPT\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a89147c23d58f0708529de373e4f6c91fd908a.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAT\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ChatGPT&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMzOSE6rMqg0-sXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhCB6UWIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpKbYxLLAwDD9FQsPF5d-rr5BhqVJpTGSlpLkFIuy9DxLhEhecm5eXkZy5SJWdueMxBL3gJBbbJIMYX7hnxNnHGZ7t68qrThBkUtzVvSjA_es1i3ikHDMS0ktSlUoLk3OKEnNU0gE0gp5ickZKzgYAdQ3BB4MAQAA\"\n },\n {\n \"name\": \"AIVA\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a8914719bc8b4df3fa1462e52f02616d9485fe.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAY\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=AIVA&stick=H4sIAAAAAAAAAOMwVOLVT9c3NEw2jbfMNkhL-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIwExDiJTkJZuaWJiYIekqNE3PKDI2RVJTbGJZYGCY_oqFh4tLP1ffIMPSpNIYSUtJcopFWXqeJUIkLzk3Ly8juXIRK4ujZ5jjLTZJhjC_8M-JMw6zvdtXlVacoMilOSv60YF7VusWcUg45qWkFqUqFJcmZ5Sk5ikkAmmFvMTkjBUcjAALkEv2CQEAAA\"\n },\n {\n \"name\": \"Riffusion\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a89147113691339320bfe6f1209fb6a129c2c2.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAd\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Riffusion&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCzJSzY1sTAx-8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpgZmPpKvQND2jyNgUSU2xiWWBgWH6KxYeLi79XH2DDEuTSmMkLSXJKRZl6XmWCJG85Ny8vIzkykWsnEGZaWmlxZn5ebfYJBnC_MI_J844zPZuX1VacYIil-as6EcH7lmtW8Qh4ZiXklqUqlBcmpxRkpqnkAikFfISkzNWcDACAFLKlGcOAQAA\"\n },\n {\n \"name\": \"Claude\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a891474df0c5a03e2c10f9b7c9d6125398b9e4.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAi\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Claude&stick=H4sIAAAAAAAAAOMwVOLVT9c3NMwuNE3PKDI2_cXIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0gW1EUlNsYllgYFh-isWHi4u_Vx9gwxLk0pjJC0lySkWZel5lgiRvOTcvLyM5MpFrGzOOYmlKam32CQZwvzCPyfOOMz2bl9VWnGCIpfmrOhHB-5ZrVvEIeGYl5JalKpQXJqcUZKap5AIpBXyEpMzVnAwAgDEzliACwEAAA\"\n },\n {\n \"name\": \"Google Gemini\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a8914703407a8aa67df2c1bbab136584ebb87f.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Google+Gemini&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwpNrEsMDBM_8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpAbqhlcsPFxc-rn6BhmWJpXGSFpKklMsytLzLBEiecm5eXkZyZWLWHnd8_PTc1IV3FNzM_Myb7FJMoT5hX9OnHGY7d2-qrTiBEUuzVnRjw7cs1q3iEPCMS8ltShVobg0OaMkNU8hEUgr5CUmZ6zgYAQAw0AdTRIBAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAn\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Google+Gemini&stick=H4sIAAAAAAAAAOMwVOLVT9c3NCwpNrEsMDBM_8XIsIGF4RULPxdEvLgsvdgiLSMFIVJpHJ-RXlyZhhDJzkhOqzKoNEKIJJvGW2YbpCGpKclLNjWxMDFD0lVomp5RZGyKpAbqhlcsPFxc-rn6BhmWJpXGSFpKklMsytLzLBEiecm5eXkZyZWLWHnd8_PTc1IV3FNzM_Myb7FJMoT5hX9OnHGY7d2-qrTiBEUuzVnRjw7cs1q3iEPCMS8ltShVobg0OaMkNU8hEUgr5CUmZ6zgYAQAw0AdTRIBAAA\"\n },\n {\n \"name\": \"Mobile App\",\n \"image\": \"https://serpapi.com/searches/68112b3535d3b44e49b5dfb5/images/0fad6a82a2386bff577124c1b7f746a6dbc54b6d15a891474a7680a5ca5110e1d590d0bba9856941.gif\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Mobile+App&stick=H4sIAAAAAAAAAOMwVOLSz9U3yLA0qTQ2-8XIsIGF4RULPxevfrq-oWFxWXqxRVpGCkKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4kJyEpSE6xKEvPs0SI5CXn5uVlJFcuYuXyzU_KzElVcCwouMUmyRDmF_45ccZhtnf7qtKKExS5NGdFPzpwz2rdIg4Jx7yU1KJUheLS5IyS1DyFRCCtkJeYnLGCgxEAhfR9CwwBAAA&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Qs9oBKAB6BQiFARAs\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Mobile+App&stick=H4sIAAAAAAAAAOMwVOLSz9U3yLA0qTQ2-8XIsIGF4RULPxevfrq-oWFxWXqxRVpGCkKk0jg-I724Mg0hkp2RnFZlUGmEEEk2jbfMNkhDUlOSl2xqYmFihqSr0DQ9o8jYFElNsYllgYFh-isWHi4kJyEpSE6xKEvPs0SI5CXn5uVlJFcuYuXyzU_KzElVcCwouMUmyRDmF_45ccZhtnf7qtKKExS5NGdFPzpwz2rdIg4Jx7yU1KJUheLS5IyS1DyFRCCtkJeYnLGCgxEAhfR9CwwBAAA\"\n }\n ]\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiJARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen kostenlos deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+deutsch&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiIARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+deutsch\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos App\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+App&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiHARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+App\"\n },\n {\n \"block_position\": 1,\n \"query\": \"ki-song erstellen mit text\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+mit+text&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiGARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+mit+text\"\n },\n {\n \"block_position\": 1,\n \"query\": \"KI Song erstellen kostenlos Suno\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+erstellen+kostenlos+Suno&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiKARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+erstellen+kostenlos+Suno\"\n },\n {\n \"block_position\": 2,\n \"query\": \"ki-song generator mit text kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+generator+mit+text+kostenlos&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiAARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+generator+mit+text+kostenlos\"\n },\n {\n \"block_position\": 2,\n \"query\": \"KI Song Generator Deutsch\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Song+Generator+Deutsch&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BQiBARAB\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Song+Generator+Deutsch\"\n },\n {\n \"block_position\": 2,\n \"query\": \"ki-song erstellen kostenlos ohne anmeldung\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=ki-song+erstellen+kostenlos+ohne+anmeldung&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh_EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=ki-song+erstellen+kostenlos+ohne+anmeldung\"\n },\n {\n \"block_position\": 2,\n \"query\": \"Musik KI kostenlos\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Musik+KI+kostenlos&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh-EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Musik+KI+kostenlos\"\n },\n {\n \"block_position\": 2,\n \"query\": \"KI Lieder erstellen Suno\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=KI+Lieder+erstellen+Suno&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh8EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=KI+Lieder+erstellen+Suno\"\n },\n {\n \"block_position\": 2,\n \"query\": \"Suno Song erstellen\",\n \"link\": \"https://www.google.com/search?sca_esv=cf65d87ff3121f3e&gl=de&q=Suno+Song+erstellen&sa=X&ved=2ahUKEwj69u7M__2MAxWcsVYBHUOMNd0Q1QJ6BAh6EAE\",\n \"serpapi_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=Suno+Song+erstellen\"\n }\n ],\n \"pagination\": {\n \"current\": 1,\n \"next\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=10&sourceid=chrome-mobile&ie=UTF-8\",\n \"other_pages\": {\n \"2\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=10&sourceid=chrome-mobile&ie=UTF-8\",\n \"3\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=20&sourceid=chrome-mobile&ie=UTF-8\",\n \"4\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=30&sourceid=chrome-mobile&ie=UTF-8\",\n \"5\": \"https://www.google.com/search?q=mit+ki+musik+erstellen&oq=mit+ki+musik+erstellen&gl=de&start=40&sourceid=chrome-mobile&ie=UTF-8\"\n }\n },\n \"serpapi_pagination\": {\n \"current\": 1,\n \"next_link\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"next\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"other_pages\": {\n \"2\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=10\",\n \"3\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=20\",\n \"4\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=30\",\n \"5\": \"https://serpapi.com/search.json?device=mobile&engine=google&gl=de&google_domain=google.com&q=mit+ki+musik+erstellen&start=40\"\n }\n }\n }\n }\n ]\n },\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_serp_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faqs_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_serp_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faqs_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_faqs\": {\n \"main\": [\n []\n ]\n },\n \"get_faqs_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_serp_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_serp_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faqs_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"merge_faq1\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions1\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_status\": {\n \"main\": [\n [\n {\n \"node\": \"check_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"sleep\": {\n \"main\": [\n [\n {\n \"node\": \"get_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_status\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches\": {\n \"main\": [\n [\n {\n \"node\": \"get_names\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_names\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"4a18c727-9d7c-48bb-a6d0-dfec50c6d9e4\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"YnqGjhW0HTJq0eBY\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Product - SERP Analysis (SerpAPI + Crawl4AI)", "node_count": 38, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 39\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product - SERP Analysis (Serper & Crawl4AI)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -1340,\n 1080\n ],\n \"id\": \"d841d3e0-650d-49e7-abba-d5f4186d2312\",\n \"name\": \"On form submission\",\n \"webhookId\": \"d361eaea-6612-4e11-8f2b-45bdaf5326d6\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n },\n {\n \"name\": \"exclude\",\n \"value\": \"[\\\"video\\\", \\\"image\\\", \\\"news\\\", \\\"places\\\"]\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 980\n ],\n \"id\": \"dbc11a68-1aa6-4462-b5e9-aa1ceaf9be49\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -400,\n 900\n ],\n \"id\": \"2d1692b9-0dcf-4074-a4ec-fa7a77780972\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -180,\n 900\n ],\n \"id\": \"8d530a29-6caf-4641-9c25-bcd8e85f8a5d\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 40,\n 900\n ],\n \"id\": \"e4fd59d3-6bd5-45f4-9c86-45c9bb55d49b\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 954676522,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"snippet\": \"={{ $json.snippet }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 260,\n 900\n ],\n \"id\": \"225cc152-7a2d-4d44-b36c-345b7af2a301\",\n \"name\": \"insert_faqs\",\n \"alwaysOutputData\": false,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"desktop\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 1180\n ],\n \"id\": \"809d7e4c-af19-4b6a-932e-e4bb0984c957\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -420,\n 500\n ],\n \"id\": \"cdfd558a-1e56-445b-bdd7-ec0ff35404a4\",\n \"name\": \"merge_faq1\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -200,\n 500\n ],\n \"id\": \"ed5f875b-c8da-4f6d-adbe-d0fb2f65a967\",\n \"name\": \"get_queries\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (SerpApi + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 227535755,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"=227535755\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.query }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 240,\n 500\n ],\n \"id\": \"44fae620-9f03-4ded-a39e-f1ce2690303c\",\n \"name\": \"insert_related_searches\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 900\n ],\n \"id\": \"212145e4-0a93-4708-a1b6-334dc44ad2db\",\n \"name\": \"get_faq_mobile\",\n \"alwaysOutputData\": false\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1160\n ],\n \"id\": \"571d4620-6efb-4a48-9b13-2e80861270ff\",\n \"name\": \"get_organic_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1360\n ],\n \"id\": \"f9288caa-9cb0-4718-aced-30be2e52cd03\",\n \"name\": \"get_organic_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1560\n ],\n \"id\": \"2c2e754e-dee2-4ad5-bda4-dac77155e3cd\",\n \"name\": \"get_faq_desktop\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 400\n ],\n \"id\": \"487516d9-6f8d-45ca-85f8-fc1e0b233bb0\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 800\n ],\n \"id\": \"90104868-cd44-4c3f-8c6f-3cbaac7515e5\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get Data\",\n \"height\": 1560,\n \"width\": 900\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -1400,\n 400\n ],\n \"id\": \"58d1d60d-b220-4cf1-9dbd-9947365c1322\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 760,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 1200\n ],\n \"id\": \"06106d0c-d558-4429-bb6e-ebd1aeeea4a0\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **Serper Dev**\\n- **Crawl4AI**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for Serper Dev, Crawl4AI, and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 540,\n 400\n ],\n \"id\": \"a76581fa-63b9-4714-bb0f-d6e5b97a78d3\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 980\n ],\n \"id\": \"8e1d466a-e70e-48bf-bd4c-0ffb4df58ff9\",\n \"name\": \"clean_results_mobile\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 1180\n ],\n \"id\": \"03811174-be3a-4054-8d20-0d99772cd0b6\",\n \"name\": \"clean_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 500\n ],\n \"id\": \"f7f8f3b7-c1b7-452d-b772-594f78c406b2\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1760\n ],\n \"id\": \"cebaf5a7-d4ff-4d55-ad5e-1e04e4410094\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"query\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 20,\n 500\n ],\n \"id\": \"e5777b16-ec07-41f0-9d9e-bd11fe94d37f\",\n \"name\": \"remove_duplicates_in_questions1\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1360\n ],\n \"id\": \"5f44a0af-2db9-4683-ab5b-2d936a1c2775\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1560\n ],\n \"id\": \"5696379e-fc4c-40a2-a6d1-e64ae9f27827\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -180,\n 1360\n ],\n \"id\": \"da9d9a1e-1a18-4b2c-b949-5ba7e6245dff\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 40,\n 1360\n ],\n \"id\": \"72b8390f-4cca-435c-b620-bdaf492516a0\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 260,\n 1360\n ],\n \"id\": \"3739f1f7-498d-42b1-b8de-074eb853c2e9\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 500,\n 1360\n ],\n \"id\": \"83e25836-0066-4f4b-b685-bb29b117ce6a\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position, title\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 700,\n 1360\n ],\n \"id\": \"6b38f0ef-79df-4db9-9781-7e6824e8f0e1\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"url\": \"=http://crawl4ai:11235/task/{{ $json.task_id }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 380,\n 1580\n ],\n \"id\": \"2e2f9ba0-d6f6-4dfe-8d50-0b6c4050e5a6\",\n \"name\": \"get_status\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"result.metadata.title\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"result.metadata.description\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"result.metadata['og:url']\",\n \"value\": \"={{ $('get_status').item.json.result.metadata['og:url'] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"result.cleaned_html\",\n \"value\": \"={{ $('get_status').item.json.result.cleaned_html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 800,\n 1580\n ],\n \"id\": \"77a31dfd-94d9-4805-9600-de73e6995b36\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Crawl4AI)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERPs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1460,\n 1580\n ],\n \"id\": \"8a1d7086-25ef-4aba-89cb-6b5a0c33d62e\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"http://crawl4ai:11235/crawl\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"urls\",\n \"value\": \"={{ $json.link }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -40,\n 1580\n ],\n \"id\": \"d80a9011-dda9-4629-ba68-d2d8ccb9dfd4\",\n \"name\": \"get_page_content\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"MKoLytfiKC3rb7GP\",\n \"name\": \"crawl4ai\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 180,\n 1580\n ],\n \"id\": \"c1f79552-9de1-4668-8ce2-5d305c2da8e0\",\n \"name\": \"sleep\",\n \"webhookId\": \"39bf1438-2316-4e3e-bb9d-0dd5d29b3509\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"100015ac-f73c-406d-acd5-49a41d60111a\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 580,\n 1580\n ],\n \"id\": \"65201719-59c2-4c79-ab24-bf0dd6839588\",\n \"name\": \"check_status\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1120,\n 1360\n ],\n \"id\": \"54697f10-4eed-42dc-97ad-cd67edaccab1\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1140,\n 1580\n ],\n \"id\": \"f49c11dd-33ea-43a3-8462-fe0598482351\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n }\n ],\n \"pinData\": {\n \"On form submission\": [\n {\n \"json\": {\n \"Focus Keyword\": \"mit ki musik erstellen\",\n \"Country\": \"de\",\n \"submittedAt\": \"2025-04-29T16:49:04.255-04:00\",\n \"formMode\": \"test\"\n }\n }\n ],\n \"get_mobile_serp_results\": [\n {\n \"json\": {\n \"searchParameters\": {\n \"q\": \"mit ki musik erstellen\",\n \"gl\": \"de\",\n \"type\": \"search\",\n \"device\": \"mobile\",\n \"engine\": \"google\"\n },\n \"organic\": [\n {\n \"title\": \"MIT KI-Musik erstellen - Loudly\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"date\": \"13 Dec 2023\",\n \"position\": 1\n },\n {\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"date\": \"21 Mar 2025\",\n \"position\": 2\n },\n {\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"snippet\": \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva. Erstelle ganz einfach Songs, auch ohne komponieren zu können.\",\n \"position\": 3\n },\n {\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"snippet\": \"In diesem Video lernst du, wie einfach es ist, mithilfe von künstlicher Intelligenz hochwertige Musik zu erstellen.\",\n \"date\": \"18 Oct 2024\",\n \"position\": 4\n },\n {\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos, Leistungsstark)\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"position\": 5\n },\n {\n \"title\": \"Suno – KI-Musik – Apps bei Google Play\",\n \"link\": \"https://play.google.com/store/apps/details?id=com.suno.android&hl=de\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. ... Starte mit 10 kostenlosen Songs (50 Gratis- ...\",\n \"rating\": 4.8,\n \"ratingCount\": 308499,\n \"position\": 6\n },\n {\n \"title\": \"Die 10 besten KI-Musikgeneratoren (April 2025) - Unite.AI\",\n \"link\": \"https://www.unite.ai/de/Beste-KI-Musikgeneratoren/\",\n \"snippet\": \"FlexClip AI Music Generator bietet eine nahtlose Möglichkeit, KI-generierte Songs zu erstellen, ohne dass musikalisches Fachwissen erforderlich ...\",\n \"date\": \"13 Apr 2025\",\n \"position\": 7\n },\n {\n \"title\": \"Suno- KI-Musik im App Store\",\n \"link\": \"https://apps.apple.com/de/app/suno-ki-musik/id6480136315\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. Entdecke folgende Funktionen: • Erstelle Songs ...\",\n \"rating\": 4.9,\n \"ratingCount\": 10151,\n \"position\": 8\n },\n {\n \"title\": \"#1 KI Song Generator - KI Song erstellen kostenlos online - Vidnoz AI\",\n \"link\": \"https://de.vidnoz.com/ki-music-generator.html\",\n \"snippet\": \"Mit KI Song Generator erstellen Sie eigene KI Songs & Musik aus Text oder Songtext online kostenlos ohne Anmeldung.\",\n \"position\": 9\n },\n {\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"snippet\": \"Die KI kann heute einen kompletten Song erstellen, der sich anhört, als hätte jemand ihn geschrieben, der Musik studiert hat und seit 20 Jahren ...\",\n \"date\": \"29 Mar 2024\",\n \"position\": 10\n }\n ],\n \"peopleAlsoAsk\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Es ist super einfach, KI-Musik mit AI-Music-Generator-Apps wie dem in Canva integrierten Soundraw zu erstellen. Wenn du KI-Songs produzierst, solltest du diese Tipps beachten: Wähle die richtige Stimmung, das richtige Genre, Thema und die richtige Länge für deinen Musik-Track.\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": \"DIE 9 BESTEN KOSTENLOSEN MUSIKPROGRAMME\\n1\\nTracktion Waveform Free. ...\\n2\\nGarageband. ...\\n3\\nOhm Studio. ...\\n4\\nAudacity. ...\\n5\\nPro Tools First. ...\\n6\\nCubase LE. ...\\n7\\nCakewalk by BandLab. ...\\n8\\nPreSonus Studio One 5 Prime.\",\n \"title\": \"Die 9 besten kostenlosen Musikprogramme - iMusician\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/\"\n }\n ],\n \"relatedSearches\": [\n {\n \"query\": \"AIVA\"\n },\n {\n \"query\": \"Musik mit KI erstellen kostenlos\"\n },\n {\n \"query\": \"Mit ki musik erstellen free\"\n },\n {\n \"query\": \"ki-song erstellen mit text\"\n },\n {\n \"query\": \"Mit ki musik erstellen songs\"\n },\n {\n \"query\": \"Ki song erstellen kostenlos suno\"\n },\n {\n \"query\": \"KI-Song Generator Deutsch\"\n },\n {\n \"query\": \"Musik KI kostenlos\"\n },\n {\n \"query\": \"KI-Musik Suno\"\n }\n ],\n \"credits\": 1\n }\n }\n ],\n \"get_desktop_serp_results\": [\n {\n \"json\": {\n \"searchParameters\": {\n \"q\": \"mit ki musik erstellen\",\n \"gl\": \"de\",\n \"type\": \"search\",\n \"device\": \"desktop\",\n \"engine\": \"google\"\n },\n \"organic\": [\n {\n \"title\": \"MIT KI-Musik erstellen - Loudly\",\n \"link\": \"https://www.loudly.com/ki-musik-erstellen\",\n \"snippet\": \"Nutze die KI von Loudly, für deine Musikerstellung. Einfach das Genre wählen und innerhalb von Sekunden das gewünschte Ergebnis erhalten.\",\n \"date\": \"13 Dec 2023\",\n \"position\": 1\n },\n {\n \"title\": \"Die 15 besten KI-Song-Generatoren - Mindforce\",\n \"link\": \"https://mind-force.de/marketing/ki-song-generatoren/\",\n \"snippet\": \"KI-Song-Generatoren können selbstständig Musik generieren. ... Mit dem AI Song Generator lassen sich Songs mit Text und Melodie per KI erstellen.\",\n \"date\": \"21 Mar 2025\",\n \"position\": 2\n },\n {\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\",\n \"snippet\": \"Kreiere einzigartige Soundtracks mit dem AI Music Generator von Canva. Erstelle ganz einfach Songs, auch ohne komponieren zu können.\",\n \"position\": 3\n },\n {\n \"title\": \"So produzierst du mit KI deine eigene Musik – Einfach & schnell!\",\n \"link\": \"https://www.youtube.com/watch?v=F5-NRSn1RAE\",\n \"snippet\": \"In diesem Video lernst du, wie einfach es ist, mithilfe von künstlicher Intelligenz hochwertige Musik zu erstellen.\",\n \"date\": \"18 Oct 2024\",\n \"position\": 4\n },\n {\n \"title\": \"KI Musik- & Song-Generator Online (Kostenlos, Leistungsstark)\",\n \"link\": \"https://aisonggenerator.io/de\",\n \"snippet\": \"KI Musik - Song Generator. Mit unserer modernen KI Song Generator-Technologie kannst du jede gewünschte Musik oder jeden Song erstellen. 100% Lizenzfrei.\",\n \"position\": 5\n },\n {\n \"title\": \"Suno – KI-Musik – Apps bei Google Play\",\n \"link\": \"https://play.google.com/store/apps/details?id=com.suno.android&hl=de\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. ... Starte mit 10 kostenlosen Songs (50 Gratis- ...\",\n \"rating\": 4.8,\n \"ratingCount\": 308499,\n \"position\": 6\n },\n {\n \"title\": \"Die 10 besten KI-Musikgeneratoren (April 2025) - Unite.AI\",\n \"link\": \"https://www.unite.ai/de/Beste-KI-Musikgeneratoren/\",\n \"snippet\": \"FlexClip AI Music Generator bietet eine nahtlose Möglichkeit, KI-generierte Songs zu erstellen, ohne dass musikalisches Fachwissen erforderlich ...\",\n \"date\": \"13 Apr 2025\",\n \"position\": 7\n },\n {\n \"title\": \"Suno- KI-Musik im App Store\",\n \"link\": \"https://apps.apple.com/de/app/suno-ki-musik/id6480136315\",\n \"snippet\": \"Mit Suno kannst du jeden erdenklichen Song selbst produzieren. Suno ist ein KI-Musikstudio im Taschenformat. Entdecke folgende Funktionen: • Erstelle Songs ...\",\n \"rating\": 4.9,\n \"ratingCount\": 10151,\n \"position\": 8\n },\n {\n \"title\": \"#1 KI Song Generator - KI Song erstellen kostenlos online - Vidnoz AI\",\n \"link\": \"https://de.vidnoz.com/ki-music-generator.html\",\n \"snippet\": \"Mit KI Song Generator erstellen Sie eigene KI Songs & Musik aus Text oder Songtext online kostenlos ohne Anmeldung.\",\n \"position\": 9\n },\n {\n \"title\": \"Künstliche Intelligenz produziert neue Lieder per Mausklick\",\n \"link\": \"https://www.zdf.de/nachrichten/wissen/musik-kuenstliche-intelligenz-ki-suno-ai-100.html\",\n \"snippet\": \"Die KI kann heute einen kompletten Song erstellen, der sich anhört, als hätte jemand ihn geschrieben, der Musik studiert hat und seit 20 Jahren ...\",\n \"date\": \"29 Mar 2024\",\n \"position\": 10\n }\n ],\n \"peopleAlsoAsk\": [\n {\n \"question\": \"Kann man mit KI-Musik machen?\",\n \"snippet\": \"Es ist super einfach, KI-Musik mit AI-Music-Generator-Apps wie dem in Canva integrierten Soundraw zu erstellen. Wenn du KI-Songs produzierst, solltest du diese Tipps beachten: Wähle die richtige Stimmung, das richtige Genre, Thema und die richtige Länge für deinen Musik-Track.\",\n \"title\": \"Gratis AI Music Generator: Erstelle Musik mit KI - Canva\",\n \"link\": \"https://www.canva.com/de_de/funktionen/ai-music-generator/\"\n },\n {\n \"question\": \"Wie kann ich kostenlos eine Melodie erstellen?\",\n \"snippet\": \"DIE 9 BESTEN KOSTENLOSEN MUSIKPROGRAMME\\n1\\nTracktion Waveform Free. ...\\n2\\nGarageband. ...\\n3\\nOhm Studio. ...\\n4\\nAudacity. ...\\n5\\nPro Tools First. ...\\n6\\nCubase LE. ...\\n7\\nCakewalk by BandLab. ...\\n8\\nPreSonus Studio One 5 Prime.\",\n \"title\": \"Die 9 besten kostenlosen Musikprogramme - iMusician\",\n \"link\": \"https://imusician.pro/de/ressourcen/blog/die-besten-kostenlosen-musikprogramme\"\n },\n {\n \"question\": \"Gibt es eine KI, die Musik mixen kann?\",\n \"snippet\": \"Ja, KI kann Musik mischen . Tools wie RoEx und LANDR nutzen KI, um Tracks zu analysieren und Pegel, EQ und Effekte automatisch anzupassen.\",\n \"title\": \"Ich habe die 4 besten KI-Mixing- und Mastering-Tools im Jahr 2025 getestet\",\n \"link\": \"https://translate.google.com/translate?u=https://www.aimusicpreneur.com/ai-tools-news/the-4-best-ai-mixing-and-mastering-tools/&hl=de&sl=en&tl=de&client=rq\"\n },\n {\n \"question\": \"Kann man mit KI Songs Geld verdienen?\",\n \"snippet\": \"So kannst du mit KI-Musik Geld verdienen Erstelle professionell klingende Songs mit KI-Tools und veröffentliche sie auf Plattformen wie Spotify, YouTube oder SoundCloud, um durch Streams oder Direktverkäufe Einnahmen zu erzielen.\",\n \"title\": \"So kannst du KI-Musik erstellen und Geld verdienen! - Gründer.de\",\n \"link\": \"https://www.gruender.de/kuenstliche-intelligenz/ki-musik-erstellen/\"\n }\n ],\n \"relatedSearches\": [\n {\n \"query\": \"AIVA\"\n },\n {\n \"query\": \"Musik mit KI erstellen kostenlos\"\n },\n {\n \"query\": \"Mit ki musik erstellen free\"\n },\n {\n \"query\": \"ki-song erstellen mit text\"\n },\n {\n \"query\": \"Mit ki musik erstellen songs\"\n },\n {\n \"query\": \"Ki song erstellen kostenlos suno\"\n },\n {\n \"query\": \"KI-Song Generator Deutsch\"\n },\n {\n \"query\": \"Musik KI kostenlos\"\n },\n {\n \"query\": \"KI-Musik Suno\"\n }\n ],\n \"credits\": 1\n }\n }\n ]\n },\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq1\": {\n \"main\": [\n [\n {\n \"node\": \"get_queries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_queries\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"clean_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_organic_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions1\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_status\": {\n \"main\": [\n [\n {\n \"node\": \"check_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"sleep\": {\n \"main\": [\n [\n {\n \"node\": \"get_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_status\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"0359ea11-47b9-4805-a228-06c4a5489c3a\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"3lBbvTOrzMpMGgIH\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Product - SERP Analysis (Serper & Crawl4AI)", "node_count": 39, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 40\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product - SERP Analysis (Serper + Firecrawl)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -1180,\n 800\n ],\n \"id\": \"5ecb2019-83f7-44bd-9db9-31e23d8d14a1\",\n \"name\": \"On form submission\",\n \"webhookId\": \"d361eaea-6612-4e11-8f2b-45bdaf5326d6\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n },\n {\n \"name\": \"exclude\",\n \"value\": \"[\\\"video\\\", \\\"image\\\", \\\"news\\\", \\\"places\\\"]\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -960,\n 700\n ],\n \"id\": \"a2da6da5-0037-4970-ac6d-d96707b2bd45\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -240,\n 1020\n ],\n \"id\": \"387919ac-8828-499b-b23f-9e6ec32dc110\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -240,\n 1220\n ],\n \"id\": \"a34acf1e-8b88-4eae-85ec-fcdd30e3b9b7\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -20,\n 1120\n ],\n \"id\": \"c4dd0fa1-e5ea-41b3-bfe5-e385a357873a\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 200,\n 1120\n ],\n \"id\": \"e950c41d-b16d-48c9-b258-c4489296db3e\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 420,\n 1120\n ],\n \"id\": \"cfc4e26c-3be3-46ee-b1d3-0e70dd827d04\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 640,\n 1120\n ],\n \"id\": \"847ae746-5152-4612-8806-9dd9ba24269c\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -240,\n 620\n ],\n \"id\": \"e2f71cb9-3b71-42ce-a1d4-f42c5ceec3e0\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -20,\n 620\n ],\n \"id\": \"d029304e-6b6e-4a3d-892a-1516e246d2a5\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 200,\n 620\n ],\n \"id\": \"4958d4eb-ff5e-488d-968c-fcc24431b125\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Firecrawl)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 1017872754,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"snippet\": \"={{ $json.snippet }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 420,\n 620\n ],\n \"id\": \"f1827495-2e07-41d3-aea7-53cf1cca2b99\",\n \"name\": \"insert_faqs\",\n \"alwaysOutputData\": false,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"desktop\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -960,\n 900\n ],\n \"id\": \"0edffdce-61ba-4a10-8cdc-e05430330d0e\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"ip84lDL75JMRWLKs\",\n \"name\": \"SerpAPI Account\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"D3H3rAArrbUYZPOM\",\n \"name\": \"Serper\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -260,\n 220\n ],\n \"id\": \"82480a14-9f6d-47a5-8dec-a5432c59330a\",\n \"name\": \"merge_faq1\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"query\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 180,\n 220\n ],\n \"id\": \"6b784080-34e4-4fa0-8105-ad97013a7bd5\",\n \"name\": \"remove_duplicates_in_questions1\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -40,\n 220\n ],\n \"id\": \"c41e1b7d-20ac-4c63-b6fa-45869f2ea4f0\",\n \"name\": \"get_queries\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 860,\n 1120\n ],\n \"id\": \"fa8e86c5-017a-49e3-8472-f8dd45bdab8e\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"link\",\n \"renameField\": true,\n \"outputFieldName\": \"urls\"\n },\n {\n \"fieldToAggregate\": \"snippet\"\n },\n {\n \"fieldToAggregate\": \"position\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.aggregate\",\n \"typeVersion\": 1,\n \"position\": [\n 1060,\n 1120\n ],\n \"id\": \"3239749d-c7f6-49cb-8ac1-22c9199e1970\",\n \"name\": \"Aggregate\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"41551d5e-79f3-4085-8011-fa2d28e043ea\",\n \"leftValue\": \"={{ $json.success }}\",\n \"rightValue\": \"\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n }\n },\n {\n \"id\": \"01f4ad18-0015-48d9-aa3a-ace8bd3282c0\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 660,\n 1360\n ],\n \"id\": \"55d83728-dc2a-4c04-ab80-1e72bcc68ce5\",\n \"name\": \"check_status\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"title\",\n \"value\": \"={{ $json.data[0].metadata[\\\"og:title\\\"] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"description\",\n \"value\": \"={{ $json.data[0].metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"url\",\n \"value\": \"={{ $json.data[0].metadata.url }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"content\",\n \"value\": \"={{ $json.data[0].markdown }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1140,\n 1380\n ],\n \"id\": \"051753ab-851e-4961-9564-da931d447b9b\",\n \"name\": \"get_metadata1\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Firecrawl)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 227535755,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.query }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 400,\n 220\n ],\n \"id\": \"eeb3e598-369e-40a1-8dd2-7e23e591dd8c\",\n \"name\": \"insert_related_searches\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 620\n ],\n \"id\": \"336a3422-8e2d-4a58-ad08-628e1c366786\",\n \"name\": \"get_faq_mobile\",\n \"alwaysOutputData\": false\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 880\n ],\n \"id\": \"d216fd4b-3330-4a3a-842a-321ab426ac8c\",\n \"name\": \"get_organic_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 1080\n ],\n \"id\": \"67788b12-b737-42ad-906f-f06754fda0b5\",\n \"name\": \"get_organic_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 1280\n ],\n \"id\": \"1b08a4a8-58c9-410f-9a17-26b3af472609\",\n \"name\": \"get_faq_desktop\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 120\n ],\n \"id\": \"9c0828db-ca35-4c41-8b05-3f07c18ab4cc\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 520\n ],\n \"id\": \"89d2ea30-0aba-4823-a812-ea03e8d9c485\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get Data\",\n \"height\": 1560,\n \"width\": 900\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -1240,\n 120\n ],\n \"id\": \"ed437287-0c65-4fe3-92d3-7828443d2f2c\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 760,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 920\n ],\n \"id\": \"4aba3279-24a8-4c1d-a2d0-e02fb1f7a8b7\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **Serper Dev**\\n- **Firecrawl**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for Serper Dev, Firecrawl, and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 700,\n 120\n ],\n \"id\": \"3c5d68e6-aa54-4e76-bc9d-1ba574df273c\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1320,\n 1380\n ],\n \"id\": \"8e478df5-5e3f-489e-9da5-2057c863b6a2\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 880,\n 1360\n ],\n \"id\": \"f79896ca-9389-47cf-8a98-40deeada564c\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"url\": \"={{ $json.url || $json.next }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 440,\n 1360\n ],\n \"id\": \"1b1aed24-a952-4d30-ac92-f580300f2d9b\",\n \"name\": \"check_crawl_status\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"r3zPXXitwsV4wBHf\",\n \"name\": \"Firecrawl\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.firecrawl.dev/v1/batch/scrape\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"urls\\\": [{{ $json.urls.map(item => `\\\"${item}\\\"`) }}],\\n \\\"formats\\\": [\\n \\\"markdown\\\"\\n ]\\n}\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1260,\n 1120\n ],\n \"id\": \"540180c6-438d-4d81-880c-75d6181d39ca\",\n \"name\": \"get_page_content\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"r3zPXXitwsV4wBHf\",\n \"name\": \"Firecrawl\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -760,\n 700\n ],\n \"id\": \"9c35c0e1-41b6-433a-9472-e84d8f3273c1\",\n \"name\": \"clean_results_mobile\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -760,\n 900\n ],\n \"id\": \"911eacc4-817b-40dc-8dbd-3e6ccd670d5b\",\n \"name\": \"clean_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 220\n ],\n \"id\": \"d1881960-637c-4209-a088-9a04c1f2cdde\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -520,\n 1480\n ],\n \"id\": \"29b1a371-99dc-4cd3-aa81-207e56ca6064\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper + Firecrawl)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('get_metadata1').item.json.title }}\",\n \"link\": \"={{ $('get_metadata1').item.json.url }}\",\n \"position\": \"={{ $('Aggregate').item.json.position[$runIndex + 1] }}\",\n \"snippet\": \"={{ $('Aggregate').item.json.snippet[$runIndex + 1] }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1660,\n 1400\n ],\n \"id\": \"04f854c2-edeb-4b51-8f15-f5ebb6fa767d\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"amount\": 15\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 220,\n 1360\n ],\n \"id\": \"5f4cebe9-a781-4747-8fdb-5a4df77294ac\",\n \"name\": \"sleep\",\n \"webhookId\": \"e7c2e1f8-6c7d-4c2a-8ecf-253efbd21085\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_faqs\": {\n \"main\": [\n []\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq1\": {\n \"main\": [\n [\n {\n \"node\": \"get_queries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions1\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_queries\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_status\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata1\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_related_searches\": {\n \"main\": [\n []\n ]\n },\n \"get_faq_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_metadata1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"check_crawl_status\": {\n \"main\": [\n [\n {\n \"node\": \"check_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"sleep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_organic_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"sleep\": {\n \"main\": [\n [\n {\n \"node\": \"check_crawl_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c072d388-0164-4686-9c28-1eeff0fef0f6\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"BZwGHvuxb2RfuP3E\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Product - SERP Analysis (Serper + Firecrawl)", "node_count": 40, "category": "General Automation"}} {"prompt": "Build a workflow for: Serp Analysis Template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 35\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"SERP Analysis Template\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n },\n {}\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -880,\n 940\n ],\n \"id\": \"b93168f8-109d-4014-9ec8-661086b9c4ad\",\n \"name\": \"On form submission\",\n \"webhookId\": \"92522c0f-d6a1-4d0d-aff7-eb5db34ee8e0\"\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"DESKTOP\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 1040\n ],\n \"id\": \"67331a54-782c-4e11-a3c8-5441d65ded74\",\n \"name\": \"get_desktop_serp_results\"\n },\n {\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"serpApi\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword'] }}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -660,\n 820\n ],\n \"id\": \"990a8da4-2021-4663-8416-09dbfafbe98c\",\n \"name\": \"get_mobile_serp_results\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 820\n ],\n \"id\": \"f9875911-5b24-4584-b161-a5d0a4978fb1\",\n \"name\": \"get_organic_results_by_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic_results }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.search_parameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1040\n ],\n \"id\": \"97f9f45d-c6a7-47fd-9377-ab0261f673b5\",\n \"name\": \"get_organic_results_by_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -440,\n 640\n ],\n \"id\": \"228b96fa-9d26-474c-8105-af5d565beb34\",\n \"name\": \"get_faq_by_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_questions\",\n \"value\": \"={{ $json.related_questions }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -460,\n 1260\n ],\n \"id\": \"40066e50-cfe3-4fff-8afb-8661d75a0592\",\n \"name\": \"get_faq_by_desktop\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -220,\n 820\n ],\n \"id\": \"ee22525b-fb1d-492e-8c6c-65665c705ca7\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -240,\n 1040\n ],\n \"id\": \"18964edb-4e1c-46f5-9a84-eefcc5ab2119\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 40,\n 780\n ],\n \"id\": \"f07e0e80-7ab1-4631-8d12-0eabb82dbc4d\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"options\": {\n \"reset\": false\n }\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 40,\n 1080\n ],\n \"id\": \"21ae683d-b280-4250-9fd9-53cf4fceaacd\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"http://crawl4ai:11235/crawl\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"urls\",\n \"value\": \"={{ $json.link }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 320,\n 1100\n ],\n \"id\": \"8f051515-5b35-49b7-bb09-7da492daf249\",\n \"name\": \"get_page_content\"\n },\n {\n \"parameters\": {\n \"url\": \"=http://crawl4ai:11235/task/{{ $json.task_id }}\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 740,\n 1100\n ],\n \"id\": \"07f77190-2241-41aa-b731-4049dd1274c4\",\n \"name\": \"get_status\"\n },\n {\n \"parameters\": {\n \"conditions\": {\n \"options\": {\n \"caseSensitive\": true,\n \"leftValue\": \"\",\n \"typeValidation\": \"strict\",\n \"version\": 2\n },\n \"conditions\": [\n {\n \"id\": \"100015ac-f73c-406d-acd5-49a41d60111a\",\n \"leftValue\": \"={{ $json.status }}\",\n \"rightValue\": \"completed\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\",\n \"name\": \"filter.operator.equals\"\n }\n }\n ],\n \"combinator\": \"and\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.if\",\n \"typeVersion\": 2.2,\n \"position\": [\n 940,\n 1100\n ],\n \"id\": \"c0e6afbf-12a1-4d25-b335-dc0111fe1480\",\n \"name\": \"If\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"result.metadata.title\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"result.metadata.description\",\n \"value\": \"={{ $('get_status').item.json.result.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"result.metadata['og:url']\",\n \"value\": \"={{ $('get_status').item.json.result.metadata['og:url'] }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"result.cleaned_html\",\n \"value\": \"={{ $('get_status').item.json.result.cleaned_html }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1160,\n 1040\n ],\n \"id\": \"c097144a-cc69-4061-a720-a1f94d91ab3b\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"html\": \"={{ $json.result.cleaned_html }}\",\n \"destinationKey\": \"content\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.markdown\",\n \"typeVersion\": 1,\n \"position\": [\n 1400,\n 1200\n ],\n \"id\": \"52102ba3-90b5-4ff7-b368-469c0c79baff\",\n \"name\": \"get_content_as_markdown\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 540,\n 1100\n ],\n \"id\": \"0e696748-e2cb-4767-b532-83eb429f2906\",\n \"name\": \"wait_5_sec_0\",\n \"webhookId\": \"28064a82-1e4e-41f5-bdd9-7cf011034260\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 200,\n 780\n ],\n \"id\": \"5380bee4-e5ed-4022-9771-6858fe1af7ea\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 520,\n 780\n ],\n \"id\": \"ef611ef3-164c-4fed-81d2-e724af8438a2\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1620,\n 1200\n ],\n \"id\": \"97b7b8c9-855c-4d83-a06f-3ff07f6213b6\",\n \"name\": \"OpenAI\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 360,\n 780\n ],\n \"id\": \"f55ec09b-332d-416e-aad5-e824dea44efd\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get SERPs by Keyword and Country\",\n \"height\": 840,\n \"width\": 840\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -920,\n 580\n ],\n \"id\": \"2bf16ade-d73d-463b-9d72-8084e92b90ec\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Prepare SERPs for Crawling and Analysis\",\n \"height\": 400,\n \"width\": 820,\n \"color\": 6\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 580\n ],\n \"id\": \"5767bdeb-11b2-45aa-9edb-56aaf4665dd2\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Crawl Pages with Crawl4ai\",\n \"height\": 420,\n \"width\": 2240,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -60,\n 1000\n ],\n \"id\": \"c5414411-56e7-4307-ab8c-a1f2abf852e9\",\n \"name\": \"Sticky Note2\"\n },\n {\n \"parameters\": {\n \"content\": \"# Save Results to Google Sheets\",\n \"height\": 920,\n \"width\": 1020\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 3060,\n -360\n ],\n \"id\": \"04fe31ac-9da9-4814-a493-a90473942ed9\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"### Google Sheets\\n\\nCreate a sheet called \\\"SERPs\\\" with the following columns:\\n- position\\n- title\\n- link\\n- snippet\\n- short_summary\\n- potential_focus_keyword\\n- relevant_long_tail_keywords\\n- unigrams\\n- bigrams\\n- trigrams\",\n \"width\": 400\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 1760,\n 1020\n ],\n \"id\": \"4d2a7420-a20e-4c62-a0cd-8563c72ef2cc\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"### Limit\\n\\nSet a limit when testing the workflow to save computing costs and token usage.\",\n \"height\": 120,\n \"width\": 220\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 360,\n 640\n ],\n \"id\": \"5b6f6a69-fe05-4a8a-82a0-73bb799e2276\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 920,\n 680\n ],\n \"id\": \"e73f5aac-00c8-4e5c-b6b1-d05cd18d452f\",\n \"name\": \"merge_faq\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_questions\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 1140,\n 680\n ],\n \"id\": \"f024e1c0-1b30-457e-8a76-e216ddab21ac\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"question\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 1360,\n 680\n ],\n \"id\": \"ffa44fad-d363-40db-b94d-8fbd16edab19\",\n \"name\": \"remove_duplicates_in_questions\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1580,\n 680\n ],\n \"id\": \"4a3183c1-a045-4d8a-aae6-9fde63d5500e\",\n \"name\": \"loop_over_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Keyword Research\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 738525081,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit#gid=738525081\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1900,\n 780\n ],\n \"id\": \"7527a6f0-1908-4a91-a1a2-704ba5602c36\",\n \"name\": \"insert_faqs\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Keyword Research\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERPs\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1h9qtlFg5vYVWAvY6iUliFzHQaOAyDQ4kboutM6Zlj6w/edit#gid=0\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1960,\n 1200\n ],\n \"id\": \"77f6f438-83ad-4e99-aec0-52e006fd3f49\",\n \"name\": \"insert_serp_analysis\"\n },\n {\n \"parameters\": {\n \"content\": \"# GET FAQs\",\n \"height\": 400,\n \"width\": 1400,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 780,\n 580\n ],\n \"id\": \"7bdc4d1c-9987-401b-8a23-0e44a052c541\",\n \"name\": \"Sticky Note6\"\n },\n {\n \"parameters\": {\n \"content\": \"### Google Sheets\\n\\nCreate a sheet called \\\"FAQs\\\" with the following columns:\\n- question\\n- title\\n- link\",\n \"width\": 260\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 1880,\n 600\n ],\n \"id\": \"f0770b44-c147-4f04-9623-802beb9f7dcb\",\n \"name\": \"Sticky Note7\"\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faq\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"get_page_content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_page_content\": {\n \"main\": [\n [\n {\n \"node\": \"wait_5_sec_0\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_status\": {\n \"main\": [\n [\n {\n \"node\": \"If\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"wait_5_sec_0\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"get_content_as_markdown\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"wait_5_sec_0\": {\n \"main\": [\n [\n {\n \"node\": \"get_status\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_content_as_markdown\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faq\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_questions\": {\n \"main\": [\n [\n {\n \"node\": \"loop_over_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"loop_over_questions\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_faqs\": {\n \"main\": [\n [\n {\n \"node\": \"loop_over_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"b43516de-b4c7-4038-b4f6-83294815796d\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"9lW9vKY54sMpIvZC\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "SERP Analysis Template", "node_count": 35, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 36\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.removeDuplicates, n8n-nodes-base.limit, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, n8n-nodes-base.code, n8n-nodes-base.formTrigger\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Template - SERP Analysis (Serper)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"formTitle\": \"Keyword Research Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Focus Keyword\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Country\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"us\"\n }\n ]\n }\n },\n {\n \"fieldLabel\": \"hl\",\n \"fieldType\": \"dropdown\",\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"de\"\n },\n {\n \"option\": \"en\"\n }\n ]\n }\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"typeVersion\": 2.2,\n \"position\": [\n -1340,\n 1080\n ],\n \"id\": \"349ba094-8f87-4bcb-83f1-d286e7b96f76\",\n \"name\": \"On form submission\",\n \"webhookId\": \"688891c0-8e2b-49f6-beb1-ad881f0412cd\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"mobile\"\n },\n {\n \"name\": \"exclude\",\n \"value\": \"[\\\"video\\\", \\\"image\\\", \\\"news\\\", \\\"places\\\"]\"\n },\n {\n \"name\": \"hl\",\n \"value\": \"={{ $json.hl }}\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 980\n ],\n \"id\": \"0262df51-ba80-46db-bf76-03417617fe44\",\n \"name\": \"get_mobile_serp_results\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"faqs\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -180,\n 900\n ],\n \"id\": \"fd37ed1e-149b-49bb-a1fc-345d642997f2\",\n \"name\": \"get_questions\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1Wdynwg7WmGldyWOd8r-mf9VjnCHJQtHosxJskNLfb2A\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 954676522,\n \"mode\": \"list\",\n \"cachedResultName\": \"FAQs\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"question\": \"={{ $json.question }}\",\n \"snippet\": \"={{ $json.snippet }}\",\n \"title\": \"={{ $json.title }}\",\n \"link\": \"={{ $json.link }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"question\",\n \"displayName\": \"question\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 260,\n 900\n ],\n \"id\": \"6b533b68-e380-4fc7-8286-d7741751847e\",\n \"name\": \"insert_faqs\",\n \"alwaysOutputData\": true,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"url\": \"https://google.serper.dev/search\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json['Focus Keyword']}}\"\n },\n {\n \"name\": \"gl\",\n \"value\": \"={{ $json.Country }}\"\n },\n {\n \"name\": \"device\",\n \"value\": \"desktop\"\n },\n {\n \"name\": \"hl\",\n \"value\": \"={{ $json.hl }}\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n -1120,\n 1180\n ],\n \"id\": \"df178d34-0af1-46dd-a542-ac49a619c543\",\n \"name\": \"get_desktop_serp_results\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"related_searches\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n -200,\n 500\n ],\n \"id\": \"5140a96e-5086-40ef-b357-fcd535e8a4f0\",\n \"name\": \"get_queries\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1Wdynwg7WmGldyWOd8r-mf9VjnCHJQtHosxJskNLfb2A\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": 857390152,\n \"mode\": \"list\",\n \"cachedResultName\": \"Related Searches\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"query\": \"={{ $json.query }}\"\n },\n \"matchingColumns\": [\n \"query\"\n ],\n \"schema\": [\n {\n \"id\": \"query\",\n \"displayName\": \"query\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 240,\n 500\n ],\n \"id\": \"7811c41b-ed61-49ca-903c-b121ffea7f3b\",\n \"name\": \"insert_related_searches\",\n \"alwaysOutputData\": true,\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"faqs\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 900\n ],\n \"id\": \"623722a5-a1f6-470d-b9c9-d48272641bb5\",\n \"name\": \"get_faq_mobile\",\n \"alwaysOutputData\": true,\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"fcf16964-061d-4c9e-82c6-954e769e899c\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"44fba0e5-686c-4475-89dd-66f711bf910c\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1160\n ],\n \"id\": \"d08f09c1-8f87-4a8e-9ed7-88b8ace602cd\",\n \"name\": \"get_organic_results_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e76a9070-4782-4a54-84b6-bce1eb50023d\",\n \"name\": \"organic_results\",\n \"value\": \"={{ $json.organic }}\",\n \"type\": \"array\"\n },\n {\n \"id\": \"64fffe61-bb13-47e6-9555-c8adb9c3762d\",\n \"name\": \"search_parameters.device\",\n \"value\": \"={{ $json.searchParameters.device }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1360\n ],\n \"id\": \"fd37ffb2-175d-43be-b3eb-a1a1bc0bec3e\",\n \"name\": \"get_organic_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"faqs\",\n \"value\": \"={{ $json.peopleAlsoAsk }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1560\n ],\n \"id\": \"d3c39dcf-a921-434b-bbe9-2ba0e2af3f2b\",\n \"name\": \"get_faq_desktop\",\n \"alwaysOutputData\": true,\n \"onError\": \"continueRegularOutput\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert Related Searches\\n\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 400\n ],\n \"id\": \"55b418ae-b85e-48ce-b5ab-7c6e8f6bd237\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"content\": \"# Insert FAQs\",\n \"height\": 380,\n \"width\": 960,\n \"color\": 4\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 800\n ],\n \"id\": \"19e037a0-0e0d-4b1c-a0a2-5d4f169a5298\",\n \"name\": \"Sticky Note1\"\n },\n {\n \"parameters\": {\n \"content\": \"# Get Data\",\n \"height\": 1560,\n \"width\": 900\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -1400,\n 400\n ],\n \"id\": \"17460b8b-cd05-4396-9c7b-280c1007ca3c\",\n \"name\": \"Sticky Note3\"\n },\n {\n \"parameters\": {\n \"content\": \"# SERP Analysis\\n\",\n \"height\": 760,\n \"width\": 2180,\n \"color\": 5\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -460,\n 1200\n ],\n \"id\": \"b4ac485c-2dc6-40e2-b373-46d320ef3901\",\n \"name\": \"Sticky Note4\"\n },\n {\n \"parameters\": {\n \"content\": \"## Workflow Instructions\\n#### Requirements\\nTo use this workflow, you will need accounts and API access for the following services:\\n- **Google Sheets**\\n- **Serper Dev**\\n- **OpenAI**\\n#### Google Spreadsheet Setup\\nCreate a Google Spreadsheet with **three sheets** named exactly as follows:\\n1. **SERP Analysis** \\n Columns (in order): \\n `position`, `title`, `link`, `snippet`, `short_summary`, `potential_focus_keyword`, `relevant_long_tail_keywords`, `unigrams`, `bigrams`, `trigrams`\\n2. **FAQs** \\n Columns (in order): \\n `question`, `title`, `link`, `snippet`\\n3. **Related Searches** \\n Columns (in order): \\n `query`\\n> **Tip:** Make sure the sheet names and column headers match exactly, including capitalization and spacing, to ensure the workflow functions correctly.\\n#### Getting Started\\n1. **Set up your Google Spreadsheet** as described above.\\n2. **Configure your API credentials** for Serper and OpenAI within n8n.\\n3. **Import the workflow** into your n8n instance.\\n4. **Update any required variables or nodes** in the workflow to point to your specific spreadsheet and API keys.\\n5. **Run the workflow** and monitor the results in your Google Sheets.\\n#### Support & Contact\\nDeveloped by **Marvomatic**\\n- [Website](https://marvomatic.com)\\n- [TikTok](https://www.tiktok.com/@marvomatic)\\n- [YouTube](https://www.youtube.com/@marvomatic)\\n\\nFor business inquiries, email: [hello@marvomatic.com](mailto:hello@marvomatic.com)\",\n \"height\": 780,\n \"width\": 1180\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n 540,\n 400\n ],\n \"id\": \"5ef92013-20dd-4f6a-bc7c-230065b9972e\",\n \"name\": \"Sticky Note5\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 980\n ],\n \"id\": \"6db2c1a6-0b73-447d-b5bc-caf2503a5e3d\",\n \"name\": \"clean_results_mobile\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create an array to hold the cleaned items\\nconst cleanedArray = [];\\n\\n// Loop through all input items\\nfor (const item of $input.all()) {\\n // Create a copy of the item's JSON\\n const cleanedItem = {...item.json};\\n \\n // Filter organic results to remove any with youtube.com in the link\\n if (cleanedItem.organic) {\\n cleanedItem.organic = cleanedItem.organic.filter(result => \\n !result.link.includes('youtube.com')\\n );\\n \\n // Also filter any sitelinks that might contain youtube.com\\n for (const result of cleanedItem.organic) {\\n if (result.sitelinks) {\\n result.sitelinks = result.sitelinks.filter(sitelink => \\n !sitelink.link.includes('youtube.com')\\n );\\n }\\n }\\n }\\n \\n // Filter related searches if needed\\n if (cleanedItem.relatedSearches) {\\n cleanedItem.relatedSearches = cleanedItem.relatedSearches.filter(search => \\n !search.query.includes('youtube.com')\\n );\\n }\\n \\n // Add the cleaned item to our array\\n cleanedArray.push(cleanedItem);\\n}\\n\\n// Return the cleaned array\\nreturn cleanedArray;\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n -920,\n 1180\n ],\n \"id\": \"a74656ba-5010-47fa-b0af-5d1362ec21c7\",\n \"name\": \"clean_results_desktop\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 500\n ],\n \"id\": \"80407282-3e1f-4299-acf5-46208a88dc3a\",\n \"name\": \"get_related_searches_mobile\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0e112e59-ad43-4321-9de0-d1d502f98266\",\n \"name\": \"related_searches\",\n \"value\": \"={{ $json.relatedSearches }}\",\n \"type\": \"array\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n -680,\n 1760\n ],\n \"id\": \"95d4baed-a22f-40d7-aaa8-07f2927cc83f\",\n \"name\": \"get_related_searches_desktop\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1360\n ],\n \"id\": \"7731c85d-1eee-4358-9596-8ec3352dbc6a\",\n \"name\": \"top_3_by_mobile\"\n },\n {\n \"parameters\": {\n \"maxItems\": 3\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n -400,\n 1560\n ],\n \"id\": \"46a784cc-9522-449e-8401-9b8624311cca\",\n \"name\": \"top_3_by_desktop\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -180,\n 1360\n ],\n \"id\": \"307fc94b-5d8f-489d-933d-68d219625ad2\",\n \"name\": \"get_urls_to_crawl\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"organic_results\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 40,\n 1360\n ],\n \"id\": \"0f11d76a-f581-4ca2-9e74-07f2ed377d63\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"link\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 260,\n 1360\n ],\n \"id\": \"7aa14696-7e34-4f83-a55f-50e3f6de2a7c\",\n \"name\": \"Remove Duplicates\"\n },\n {\n \"parameters\": {\n \"maxItems\": 5\n },\n \"type\": \"n8n-nodes-base.limit\",\n \"typeVersion\": 1,\n \"position\": [\n 500,\n 1360\n ],\n \"id\": \"42822b6c-1853-4124-bd48-63926e8c961a\",\n \"name\": \"Limit\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"link, snippet, position, title\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 700,\n 1360\n ],\n \"id\": \"c333051f-5237-43c6-a05d-672a600bd5e3\",\n \"name\": \"get_links\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"4eec2c04-b519-4c06-a911-bb7780b776b5\",\n \"name\": \"title\",\n \"value\": \"={{ $json.metadata.title }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"0eac8d67-34d9-4809-92fc-69f47381e104\",\n \"name\": \"description\",\n \"value\": \"={{ $json.metadata.description }}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"58b74b11-74f8-42e3-b68f-a2aa4c380578\",\n \"name\": \"url\",\n \"value\": \"={{ $json.metadata['og:url']}}\",\n \"type\": \"string\"\n },\n {\n \"id\": \"f57680c0-48ed-492f-a1d9-508a0c996198\",\n \"name\": \"content\",\n \"value\": \"={{ $json.markdown }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 800,\n 1580\n ],\n \"id\": \"9c18cb01-e226-48d9-beb9-fa0cdc02ae29\",\n \"name\": \"get_metadata\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1Wdynwg7WmGldyWOd8r-mf9VjnCHJQtHosxJskNLfb2A\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis (Serper)\",\n \"cachedResultUrl\": \"\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SERP Analysis\",\n \"cachedResultUrl\": \"\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"position\": \"={{ $('Loop Over Items').item.json.position }}\",\n \"title\": \"={{ $('Loop Over Items').item.json.title }}\",\n \"link\": \"={{ $('Loop Over Items').item.json.link }}\",\n \"snippet\": \"={{ $('Loop Over Items').item.json.snippet }}\",\n \"potential_focus_keyword\": \"={{ $json.message.content.potential_focus_keyword ? $json.message.content.potential_focus_keyword: \\\"\\\" }}\",\n \"unigrams\": \"={{ $json.message.content.n_gram_analysis.unigrams ? $json.message.content.n_gram_analysis.unigrams: \\\"\\\" }}\",\n \"relevant_long_tail_keywords\": \"={{ $json.message.content.relevant_long_tail_keywords ? $json.message.content.relevant_long_tail_keywords: \\\"\\\" }}\",\n \"bigrams\": \"={{ $json.message.content.n_gram_analysis.bigrams ? $json.message.content.n_gram_analysis.bigrams: \\\"\\\" }}\",\n \"trigrams\": \"={{ $json.message.content.n_gram_analysis.trigrams ? $json.message.content.n_gram_analysis.trigrams: \\\"\\\" }}\",\n \"short_summary\": \"={{ $json.message.content.short_summary ? $json.message.content.short_summary: \\\"\\\" }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"position\",\n \"displayName\": \"position\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"title\",\n \"displayName\": \"title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"link\",\n \"displayName\": \"link\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"snippet\",\n \"displayName\": \"snippet\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"short_summary\",\n \"displayName\": \"short_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"potential_focus_keyword\",\n \"displayName\": \"potential_focus_keyword\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"relevant_long_tail_keywords\",\n \"displayName\": \"relevant_long_tail_keywords\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"unigrams\",\n \"displayName\": \"unigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"bigrams\",\n \"displayName\": \"bigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"trigrams\",\n \"displayName\": \"trigrams\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1460,\n 1580\n ],\n \"id\": \"6c9c8793-2d05-4897-b7c5-3f2a8c31e2bf\",\n \"name\": \"insert_serp_analysis\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"oYP1Bc15GY7emvD3\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1120,\n 1360\n ],\n \"id\": \"ddab64b7-027e-4ed9-b5d2-3c5cd08aa7f7\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o-mini\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"You are a SEO-specialist and your task is to analyze the articles from our competitors. The ultimate goal is to write an article that is better than the competitors article. Apart from that, you are familiar with markdown and you are able to extract only relevant content.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"=Your task is to analyze the following = {{ $json.content }} and provide me the following information:\\n- Short Summary\\n- Potential Focus Keyword\\n- Relevant long-tail keywords\\n- N-Gram-Analysis\\n\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {\n \"temperature\": 0\n }\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1140,\n 1580\n ],\n \"id\": \"09bf9148-59a2-4a15-ba1e-b93a04e366a6\",\n \"name\": \"Analyze Content\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"RAj3VxCHt0rIwBTk\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -420,\n 500\n ],\n \"id\": \"3770a01b-51c7-4799-a4dc-bccd53c36f76\",\n \"name\": \"merge_related_searches\"\n },\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n -400,\n 900\n ],\n \"id\": \"2833526f-c8e7-4962-9404-1c88d589d030\",\n \"name\": \"merge_faqs\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"query\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 20,\n 500\n ],\n \"id\": \"c0f3b915-532f-4c2d-8e50-33bc5b3cc44c\",\n \"name\": \"remove_duplicates_in_related_searches\"\n },\n {\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"fieldsToCompare\": \"faqs\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"typeVersion\": 2,\n \"position\": [\n 40,\n 900\n ],\n \"id\": \"60b88dd3-d1af-451d-8eca-e244f6fdc38e\",\n \"name\": \"removed_duplicates_in_faqs\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://scrape.serper.dev\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"={{ $json.link }}\"\n },\n {\n \"name\": \"includeMarkdown\",\n \"value\": \"true\"\n }\n ]\n },\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 580,\n 1580\n ],\n \"id\": \"d3de725a-c32d-44e3-9925-b97aa291689e\",\n \"name\": \"scrape_url\",\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"9PtnIrGtPxKAKD1J\",\n \"name\": \"Serper Demo\"\n }\n }\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"On form submission\": {\n \"main\": [\n [\n {\n \"node\": \"get_mobile_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_desktop_serp_results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_mobile_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_questions\": {\n \"main\": [\n [\n {\n \"node\": \"removed_duplicates_in_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_desktop_serp_results\": {\n \"main\": [\n [\n {\n \"node\": \"clean_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_queries\": {\n \"main\": [\n [\n {\n \"node\": \"remove_duplicates_in_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_organic_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"top_3_by_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_faq_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_faqs\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"clean_results_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_related_searches_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_organic_results_mobile\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_mobile\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"clean_results_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_organic_results_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_faq_desktop\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"get_related_searches_desktop\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"merge_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_related_searches_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"merge_related_searches\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"top_3_by_mobile\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"top_3_by_desktop\": {\n \"main\": [\n [\n {\n \"node\": \"get_urls_to_crawl\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"get_urls_to_crawl\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Remove Duplicates\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove Duplicates\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"get_links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_links\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_metadata\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"insert_serp_analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"scrape_url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze Content\": {\n \"main\": [\n [\n {\n \"node\": \"insert_serp_analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_related_searches\": {\n \"main\": [\n [\n {\n \"node\": \"get_queries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"merge_faqs\": {\n \"main\": [\n [\n {\n \"node\": \"get_questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"remove_duplicates_in_related_searches\": {\n \"main\": [\n [\n {\n \"node\": \"insert_related_searches\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"removed_duplicates_in_faqs\": {\n \"main\": [\n [\n {\n \"node\": \"insert_faqs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"scrape_url\": {\n \"main\": [\n [\n {\n \"node\": \"get_metadata\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"906cd459-23f1-4cad-bd4e-0c2e68b0c01d\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"id\": \"GC4Ynw42APmu86h8\",\n \"tags\": [\n {\n \"createdAt\": \"2025-03-02T12:05:53.836Z\",\n \"updatedAt\": \"2025-03-02T12:05:53.836Z\",\n \"id\": \"utwtHTzeqUdktrxJ\",\n \"name\": \"SEO\"\n },\n {\n \"createdAt\": \"2025-03-29T14:05:42.024Z\",\n \"updatedAt\": \"2025-03-29T14:05:42.024Z\",\n \"id\": \"FTx17qhhXpcrm35X\",\n \"name\": \"Template\"\n }\n ]\n}\n```", "metadata": {"source": "Marvomatic/n8n-templates", "workflow_name": "Template - SERP Analysis (Serper)", "node_count": 36, "category": "General Automation"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to auto tag blog posts", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-tag Blog Posts\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-tag Blog Posts\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"84e22aae-0a0b-4bc9-94d9-aec2d9a07826\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-tag-blog-posts\"\n },\n \"id\": \"e83f725c-c083-4c9d-9623-d9c092bbad2a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"95ca42a5-e984-4245-b770-ef64b6495ec9\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"e515e8bb-c532-4428-a593-29f5d71ba000\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"auto-tag_blog_posts\"\n },\n \"id\": \"1aa98ca1-c389-4a1a-8f0c-58fcc64e08b4\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"auto-tag_blog_posts\"\n },\n \"id\": \"53510366-3cdd-40ec-a22b-d344bbbe434f\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1693f5ae-6022-4fea-8e94-ebd59d4cbd31\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fff55186-78c9-4196-829c-0416c8c7d547\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ddbd622f-6ec7-499d-a48d-613db67e5f2b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-tag Blog Posts\"\n }\n },\n \"id\": \"b12856e2-bed9-41ff-bdbd-4b4a2fd98aa2\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-tag Blog Posts\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"a8f14a3c-3865-4097-b1ee-0265ac6ffa47\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-tag Blog Posts error: {$json.error.message}\"\n },\n \"id\": \"54b60e92-3672-4042-94c7-df1b6d28c221\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-tag Blog Posts", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to customer sentiment analysis", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Customer Sentiment Analysis\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Customer Sentiment Analysis\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9432cbf3-839c-415b-bbad-164cacd8f761\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"customer-sentiment-analysis\"\n },\n \"id\": \"deec2c7d-52f6-41d1-b6c9-f2f68cc2db9e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c999cc42-bc54-402b-8a6d-e8c924c27332\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"9c230e35-adf4-49a7-a98e-c13dfa1c4e3d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_sentiment_analysis\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_sentiment_analysis\"\n }\n },\n \"id\": \"4b1cbbe7-ae91-4cbc-9b7d-106e8def867f\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_sentiment_analysis\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_sentiment_analysis\"\n }\n },\n \"id\": \"2051fbc6-2275-4529-bcc4-7ef84d05beed\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"24603a00-5522-415e-b4c8-d80889678355\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e22fb094-3cc2-492f-95f7-608b93e89409\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"3116ece9-b801-47f1-82fb-192574cedea1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Customer Sentiment Analysis\"\n }\n },\n \"id\": \"f94f99f3-4f7b-49d4-8432-b156ca31d831\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Customer Sentiment Analysis\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"50ab5f32-d0a4-49e3-a3e3-a896b94ec7a0\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Customer Sentiment Analysis error: {$json.error.message}\"\n },\n \"id\": \"59c37726-aac9-49be-a899-ed4dc6563e33\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Customer Sentiment Analysis", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Daily Content Ideas?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Daily Content Ideas\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Daily Content Ideas\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"ca5f06fc-6dec-4477-bce5-e79c88a25e7d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"daily-content-ideas\"\n },\n \"id\": \"07884fea-1b21-4c07-9cc1-0f8c9546154d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"cddbaad6-33bf-4933-8a99-018c63325ad8\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ba875ce2-e150-47e1-8036-72573e1e142d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"daily_content_ideas\"\n },\n \"id\": \"5b7779c8-04ec-41ab-abf5-4f2a2d8405fd\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"daily_content_ideas\"\n },\n \"id\": \"9a6dab96-b119-484f-aa5f-6a50b470fecd\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"9c83b97b-8ffc-4739-b045-27c982cae0dd\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c38b7694-050b-4e8d-97cd-876b30fcccab\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1b3d208d-2707-4bda-a5da-de6b5b52e811\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Daily Content Ideas\"\n }\n },\n \"id\": \"f10af89a-34ee-416a-9e15-b4e44eb9a6ba\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Daily Content Ideas\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"05153aa5-3e62-4cde-a050-7bfba1ac9895\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Daily Content Ideas error: {$json.error.message}\"\n },\n \"id\": \"4838e13d-2475-4bb1-9c74-bde4b5d4123a\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Daily Content Ideas", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for image captioning", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Image Captioning\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Image Captioning\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9a206202-bc5e-4588-9adb-e4ca5d48e1a6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"image-captioning\"\n },\n \"id\": \"bff18d10-12e1-45f2-b39a-df5d164fd3d4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3076023c-1a26-420d-864b-e14f5091d527\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"6acf18f8-c2ba-4df5-a60d-75c172c5b08b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"image_captioning\"\n },\n \"id\": \"8ec51a4a-d020-4361-9060-bca80e88dd06\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"image_captioning\"\n },\n \"id\": \"1a627070-4508-484d-b764-17d209de934f\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4bcad010-f1e4-4ac2-a626-25977d81b7ab\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f74b32f7-9f59-47bd-b835-cfa567c04ec3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"fe00cb21-88c5-4c7a-b187-54db43d4de59\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Image Captioning\"\n }\n },\n \"id\": \"7b519ec6-fe9e-4b09-a9bf-57d09c9291b1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Image Captioning\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"cb192434-f133-499e-a037-bba25d80497b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Image Captioning error: {$json.error.message}\"\n },\n \"id\": \"d5093cf2-db1e-40c7-8d41-819f2b68d2fc\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Image Captioning", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to product description generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product Description Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Product Description Generator\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"aba83af6-dd68-4125-bd8b-55630f59b564\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"product-description-generator\"\n },\n \"id\": \"f851373d-dd54-4bce-972a-1398968ca069\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d1531f49-ac87-48e1-a688-f69bb10a73e6\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"0ad45ad5-8974-40f1-86f5-59421210ff3f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"product_description_generator\",\n \"mode\": \"list\",\n \"cachedResultName\": \"product_description_generator\"\n }\n },\n \"id\": \"31f8ea33-08ab-48bf-9ba8-128fcca18cd0\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"product_description_generator\",\n \"mode\": \"list\",\n \"cachedResultName\": \"product_description_generator\"\n }\n },\n \"id\": \"08367e69-f4a4-4356-8e68-177579d2c37f\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e9fb324e-9a9f-4bc2-a3d7-19750231e9ca\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6837df12-dca6-471e-854b-f5c0453740b7\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"70715d0b-bbab-4c95-9f02-a37039e9fdd9\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Product Description Generator\"\n }\n },\n \"id\": \"568f37df-7293-45bc-8f19-868573918e67\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Product Description Generator\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f40e613e-385f-4b63-b310-de69a545f867\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Product Description Generator error: {$json.error.message}\"\n },\n \"id\": \"7e503aa0-7396-4f92-bf33-04189d66dee2\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Product Description Generator", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to resume screening", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Resume Screening\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Resume Screening\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"455a0de7-e191-4f27-984b-0b1a975ac992\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"resume-screening\"\n },\n \"id\": \"fa622ed4-da7a-405b-9693-61cd99da403c\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8bdf1d37-3aad-47ee-a8be-2be289d836cd\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"641c4206-18f5-4e08-86f3-9c26a0402c7b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"resume_screening\"\n },\n \"id\": \"52b412d1-1506-4155-955c-8bd5953d6f09\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"resume_screening\"\n },\n \"id\": \"445aad1e-d096-48a7-87d7-b39db9996de7\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"cff6fd8b-a78f-42e0-a09e-74b977034192\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac885270-4c08-4a07-99f4-b86bac40185c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a6391bfe-14c5-4cc7-a761-7458a767a9bc\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Resume Screening\"\n }\n },\n \"id\": \"90eb9ea4-b1b8-4ed3-8096-7c9eb9bcb671\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Resume Screening\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"c0268a1a-0980-428a-8c1a-dc65e55e1431\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Resume Screening error: {$json.error.message}\"\n },\n \"id\": \"a8a14ee5-f2ab-4032-bd5b-51205733be67\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Resume Screening", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Summarize Customer Emails?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Summarize Customer Emails\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Summarize Customer Emails\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"94ad1eec-70e2-4db2-b80b-385e07a22f66\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"summarize-customer-emails\"\n },\n \"id\": \"be284d5c-5194-4e36-8b98-92f89a0b69e7\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e74ee421-b363-4e81-9878-d358db8b7f91\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"c6fa5ebc-8de0-422e-af77-32f485e41649\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"summarize_customer_emails\"\n },\n \"id\": \"316539a7-288b-492f-8f01-e326e9aa6ac5\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"summarize_customer_emails\"\n },\n \"id\": \"f9073360-07bb-4a7e-924e-6f4fcec030d7\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"45a669cd-6731-4c59-b3be-8e53b00d85a7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"643506d8-f0d8-4565-b90f-26fb9de64cfe\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"34a740ac-8797-43e1-952a-cf5548b7baf8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Summarize Customer Emails\"\n }\n },\n \"id\": \"383e0a40-ddb2-4cf0-9ecb-01fa21c82ae3\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Summarize Customer Emails\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"0c486ca7-802a-4769-9164-8206e2029d1d\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Summarize Customer Emails error: {$json.error.message}\"\n },\n \"id\": \"9dc4dcc0-580e-44b3-ac10-f97b173ae1c0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Summarize Customer Emails", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for ticket urgency classification", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Ticket Urgency Classification\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Ticket Urgency Classification\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"38027751-0f0a-4d20-a473-d97aff8830e6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ticket-urgency-classification\"\n },\n \"id\": \"a6a7d7a0-659c-4dc7-b9ce-2ff29fde896a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"895175a6-a438-49f8-be28-5a542c2d2c94\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"9f624f5d-8120-46bf-9767-38d532b83000\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ticket_urgency_classification\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ticket_urgency_classification\"\n }\n },\n \"id\": \"fa749b3b-94f3-4ee4-ad85-2318a43d59bd\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ticket_urgency_classification\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ticket_urgency_classification\"\n }\n },\n \"id\": \"3e18cd1c-1148-4e2a-ae6a-def03f79d9de\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"92e69e5d-1b9c-4af3-b433-457fe4faff0b\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f0a2f5b6-017a-4db6-b8d1-ba21801e0e33\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a5183aa7-be9c-4a86-9043-a7527ba88f1b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Ticket Urgency Classification\"\n }\n },\n \"id\": \"6efa4835-772a-4e03-b1c6-6e421be8204d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Ticket Urgency Classification\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"fb391e22-5723-4584-8c4d-be5f57c434dd\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Ticket Urgency Classification error: {$json.error.message}\"\n },\n \"id\": \"eed1960f-7cee-4a70-b3e5-726c1655352e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Ticket Urgency Classification", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for translate form submissions", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Translate Form Submissions\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Translate Form Submissions\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"98af88ae-c2f2-41c7-a99f-9cfbdad8844e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"translate-form-submissions\"\n },\n \"id\": \"2816edde-baf3-4f2b-bcd2-a557bbd2e10a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8dce3eb3-ad7c-4ec9-8708-3f7b1710c2f8\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"eb1916e6-5f10-4275-b733-70d61eec092c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"translate_form_submissions\"\n },\n \"id\": \"b0b4e4a9-0cbd-4c46-9ef0-e1045662f9a2\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"translate_form_submissions\"\n },\n \"id\": \"b69c0fb8-ee02-4b55-bbac-0c4ecfcf4eb1\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"9cca05b4-8a97-40aa-bc15-9b14af78573a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2094421c-c3dc-4ad6-a6b7-a9087968478a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9c862dea-b290-472f-9439-7aa16fc4b6fa\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Translate Form Submissions\"\n }\n },\n \"id\": \"ab57b64b-8b33-49cb-b928-f8cff0036a17\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Translate Form Submissions\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"c855c2fe-e653-440a-9b00-76a40e5ecb4e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Translate Form Submissions error: {$json.error.message}\"\n },\n \"id\": \"543f94c6-7265-4aa5-83e7-de11085aa10d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Translate Form Submissions", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to voice note transcription", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Voice Note Transcription\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Voice Note Transcription\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"69424bcd-c308-40f9-8d9a-9477dd3c0ecb\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"voice-note-transcription\"\n },\n \"id\": \"6752cb1f-3bcc-4bff-bbb5-2e825c981c5d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"5d2b0243-fe4d-47b8-877d-dee5d0ad6eed\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"eb8d139e-8e63-4102-b081-7b1aa4f2d579\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"voice_note_transcription\"\n },\n \"id\": \"a2f1a360-1043-483b-bded-c2ef7dcb1b8c\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"voice_note_transcription\"\n },\n \"id\": \"40d491f7-15e2-4b49-b2a0-2b1c7c696256\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"36b1328c-786c-4df4-bbe7-8f8fe51d92e4\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2f81164b-02d8-4b4e-98cf-bd5777e116c1\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"d7840e39-4fd8-4447-bbee-2534d892ed33\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Voice Note Transcription\"\n }\n },\n \"id\": \"3b22937f-1cc4-4352-b413-489fa5cbdcb3\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Voice Note Transcription\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"e6564402-60d5-4c7b-8490-adf593207f08\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Voice Note Transcription error: {$json.error.message}\"\n },\n \"id\": \"4072a697-14c3-48c0-81ef-c9553af1d4d8\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Voice Note Transcription", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Commodity Price Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Commodity Price Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"240bb73f-5a0c-4672-a36d-98daf070734b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"commodity_price_tracker\"\n },\n \"id\": \"c23087f3-5dcd-45fe-a5f7-51cc99d3e7e1\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"013d0864-5f21-4cb8-8867-0c0e4445483a\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"db0e2610-9e2f-4435-b166-81d3532dd10e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"commodity_price_tracker\"\n },\n \"id\": \"2b3496e2-4feb-4dbc-8a5f-b1ececb2f844\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"commodity_price_tracker\"\n },\n \"id\": \"edbac296-9e6e-4152-92d8-a1f92364a08a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"1a0a6979-6af4-4e37-be9e-4716e7f172b5\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2847718a-be62-48a3-b9da-3893bba372f0\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"782053c8-0213-4494-aa1b-2a9effa10f1c\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"cc4cac32-3d40-4e4a-84ef-fe3a19777d08\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c5d7ca13-2e69-47c4-9fbd-590e15be38b8\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Commodity Price Tracker", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for crop yield predictor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Crop Yield Predictor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Crop Yield Predictor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f3362646-7c46-4e50-a664-66be86a30320\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"crop_yield_predictor\"\n },\n \"id\": \"189bb6ad-a417-41f6-bf7a-0e3ddda212f0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"30e55839-628c-4aa3-80d2-3c5a7ca26f46\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"43e8ef2b-0af0-43f4-84f1-e72771c32adb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"crop_yield_predictor\"\n },\n \"id\": \"fa3aa105-97d5-48f0-9596-2c79447b9eea\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"crop_yield_predictor\"\n },\n \"id\": \"aee3d47b-9cfb-4cc1-ac48-a3bc989f3e6a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"71c5bb9a-669c-47b3-aa70-84729641c4e9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d40e44ca-dcfe-4642-9369-a1cf44361afa\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3fe292ff-58f2-4611-b977-50c75389eb24\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d358d3c2-c50d-4959-a0f5-37a9dffb6d18\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"cbdd5fea-54eb-40eb-90e8-dfedeead8f13\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Crop Yield Predictor", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to drone image crop health", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Drone Image Crop Health\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Drone Image Crop Health\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"5021afba-679d-4168-84d0-ddf4a0bc7335\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"drone_image_crop_health\"\n },\n \"id\": \"990495aa-c27d-4380-9ea8-c2c379723be0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"10dd6e0f-6225-4179-a7cf-bc2d08425295\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"bf3dc7ec-7f5e-4f2c-a477-d7c6dc41100d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"drone_image_crop_health\"\n },\n \"id\": \"2f5b44a3-5535-4472-900f-3c779acf0c88\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"drone_image_crop_health\"\n },\n \"id\": \"34ff1a82-d55f-4c75-9682-46f6a9e10651\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"b602a790-75b9-4bd5-9a7f-31d80f1d39b8\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2a8f124a-9fbe-4415-afc7-6e97fbfd99e9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f94052a9-1f91-4329-808f-3be322180ba4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"941c34d6-684f-4aa3-b291-d076b88fe47d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0fce026d-27e0-4ff4-8eae-87f5ab08dbd3\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Drone Image Crop Health", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Build a workflow for: Farm Equipment Maintenance Reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Farm Equipment Maintenance Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Farm Equipment Maintenance Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"043695df-1656-4961-bbca-d12a2c3545c3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"farm_equipment_maintenance_reminder\"\n },\n \"id\": \"6f478769-d464-4f1e-9045-a60a13ff6b8c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b15188a4-238f-432d-99d6-1b364a65d5d1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b674f49d-427c-4da6-8cd8-66f82b3ea0a2\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"farm_equipment_maintenance_reminder\"\n },\n \"id\": \"2b52a165-3367-474e-9212-4642f59e989c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"farm_equipment_maintenance_reminder\"\n },\n \"id\": \"5bcedcb9-4581-4fa4-8f3a-06a32399263a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"3615a089-00f6-4fd9-ba52-18b759f02918\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bed3fa2c-71bf-41b7-8768-cd29776da836\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a9c8d344-3420-422f-865b-0aedac4d6274\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ec48816b-79fc-46b3-ac36-f63c66844e2d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"02967524-bc1e-414f-a9af-5a252dc5342e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Farm Equipment Maintenance Reminder", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Greenhouse Climate Controller", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Greenhouse Climate Controller\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Greenhouse Climate Controller\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f6ca7701-10db-40e0-8d19-15ca44eb181b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"greenhouse_climate_controller\"\n },\n \"id\": \"9d22707c-cdbb-4c29-acee-a55b6b22edaa\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1d527680-2885-42f3-95d0-5e2f80a6459c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f59009f4-499a-48f1-a921-5437a150897e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"greenhouse_climate_controller\"\n },\n \"id\": \"8be33fea-e4d6-4dad-b2b5-3bb5b7272e20\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"greenhouse_climate_controller\"\n },\n \"id\": \"87a1c7f9-a275-41ec-b2eb-fb638d368da7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"7217e09b-63b9-429b-b86b-51387137e044\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e964f661-3390-45b1-a1b4-14864fd9a6c4\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a97efbbd-c89b-4001-bd40-65240d4e524a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"c6ae3048-d177-40b7-ac5f-94bc7e6929e8\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a9395ee4-4b23-4c5e-92a3-c29b9a84f373\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Greenhouse Climate Controller", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Harvest Logbook", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Harvest Logbook\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Harvest Logbook\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"436f9ee5-71c5-42d5-b7fc-dbcff2db8134\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"harvest_logbook\"\n },\n \"id\": \"c2c61283-94fd-4552-8f32-1312df1c40e6\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b038312f-6c74-4c50-9f90-e5cedfb704bb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c4589904-fde4-4e34-b7ad-2f7df057a39c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"harvest_logbook\"\n },\n \"id\": \"e45e34b1-8494-4788-97f1-6d0beb8dd889\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"harvest_logbook\"\n },\n \"id\": \"b4c4018d-17a4-4a6d-98f5-14977e9b74ea\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"eb7a1db2-da18-4109-87e8-45752e834a32\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"cd043ae1-2230-421a-8995-e47d567974e9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6cd7fa28-19bd-411f-9a3f-d5126109a7ed\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"412b242e-fe10-4481-9abb-30932d959be1\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"073f0e95-20a0-4583-8dab-d53ffaa1ee6e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Harvest Logbook", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Irrigation Schedule Optimizer?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Irrigation Schedule Optimizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Irrigation Schedule Optimizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f61a51a0-1b5e-4f7d-ae28-7a1d87585c3b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"irrigation_schedule_optimizer\"\n },\n \"id\": \"330670e3-af28-42a0-9fbd-cb93e2b7dd56\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"311d8f6e-c5f9-424b-b475-51b26395127e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6bcaa39d-c038-4d22-b2f6-b064ec027d5e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"irrigation_schedule_optimizer\"\n },\n \"id\": \"023182c5-967c-44e4-99c6-84e3ffb287d3\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"irrigation_schedule_optimizer\"\n },\n \"id\": \"44c21134-953d-406a-9b29-25a308d10e8a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"6a1aa32c-814c-4551-99eb-1a07bc8c4ae8\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"920e99d5-4ace-4b92-94b9-4b7025b9f0c5\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6a401fd5-247b-4414-8d9b-43e25c1e71a1\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"f6e17324-514b-4001-8123-899440a2de47\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8feeeba0-2a81-4271-9277-e7567ad5d952\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Irrigation Schedule Optimizer", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Pest Outbreak Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Pest Outbreak Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Pest Outbreak Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c31581de-ca68-49e9-b317-f3739537da27\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"pest_outbreak_alert\"\n },\n \"id\": \"63496e27-d0de-4da6-8c37-4e92b46b62fd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"887889f4-c9aa-4759-85fc-3263cc7d4ca0\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e02bdccc-12f6-4101-abca-c1aaac144466\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"pest_outbreak_alert\"\n },\n \"id\": \"6dcce654-7ee3-453c-b54a-bb6151ef25d3\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"pest_outbreak_alert\"\n },\n \"id\": \"5db24659-3cf4-4917-b295-84e7b331fcab\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"0d28b2c7-5b50-48a8-ac88-7e5e10a4ff57\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2159d931-0a89-4329-9b99-e38a49a0dc3b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"efc6cb81-5171-4b99-84dc-736d13eed3f9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d316a1db-8ec9-4aba-abff-480b8b8666e2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2300884f-6c14-467f-86ae-971687fd42db\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Pest Outbreak Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for soil nutrient analysis", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Soil Nutrient Analysis\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Soil Nutrient Analysis\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"238b2e3b-86db-47f4-a94c-deb533b0df67\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"soil_nutrient_analysis\"\n },\n \"id\": \"dbc9164d-e065-472b-b194-d749c92cb1b6\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b1e50af6-66c9-4357-b518-ca1eccb1eb61\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"eabc7a23-b1c1-49d2-910f-ded6288e3a35\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"soil_nutrient_analysis\"\n },\n \"id\": \"9856bc50-88d2-4c09-a56d-dea2e17e04d9\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"soil_nutrient_analysis\"\n },\n \"id\": \"6fe461aa-020e-46fe-8f01-09419d9cb389\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"0efa7417-f995-4363-9854-b10e19685d81\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d1e84586-1ce4-4fb2-8fe9-936f69325b35\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"17fb76c5-29db-4d96-bb2b-d5e9a424e249\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ec9091e0-c299-41e3-a3ae-0449c19c5009\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"291bccce-04b0-482e-b8aa-887b34f8d347\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Soil Nutrient Analysis", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weather Impact Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Weather Impact Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e3fa53ec-9cd7-4480-8c4d-7dd608cef030\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weather_impact_report\"\n },\n \"id\": \"bf9d8b40-4657-431e-bce3-d75c9fa88f3b\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a244c3f0-7d3a-4068-a8c3-4b76994b785b\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"99b21724-e094-4243-9a3b-f21687a15ae3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"weather_impact_report\"\n },\n \"id\": \"2747d45f-2b07-4769-9b22-87a8acf5a350\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"weather_impact_report\"\n },\n \"id\": \"d78405a7-df63-49eb-8279-1a13fb9a8a8d\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c09f609d-822d-4535-ad5e-9ea4f49511c0\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"efcabced-1d59-42e0-885e-fc2e6bb2d207\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"42274067-bd6e-4659-9644-529e4e7f7c03\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2f140a83-a29b-4f43-871b-363f52ba7064\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a29854b3-52cc-479a-813c-0379b778a0ac\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weather Impact Report", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to adas event annotator", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"ADAS Event Annotator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## ADAS Event Annotator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"d8b2d5dd-eec5-4be6-a731-db7610f15cda\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"adas_event_annotator\"\n },\n \"id\": \"b7650538-2b5e-4c0a-b76b-cafbe17c7379\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"acf9f8f1-18a7-4252-9bbe-d790944659b7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"d8155b88-15fa-4d24-8456-f17814229f46\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"adas_event_annotator\"\n },\n \"id\": \"3b95c190-406c-4bab-ac90-b44c606862fd\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"adas_event_annotator\"\n },\n \"id\": \"6ec5ac90-10ad-437b-b0b6-38185d6e1f53\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"5e7dffcb-ddb0-4336-8c7d-644c80bc91ac\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b128a48a-6322-4e10-afd3-6cb388fb2ca6\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"77813cb8-5069-4cba-b329-8f24b3e680ef\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2e95e6c3-34d2-4144-807e-6afca51a3e13\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0e18d385-0727-47f8-8cc8-d4729e36782d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "ADAS Event Annotator", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "How would you build: Autonomous Vehicle Log Summarizer?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Autonomous Vehicle Log Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Autonomous Vehicle Log Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f9708b29-a07a-487d-b49a-bac5f4a8e782\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"autonomous_vehicle_log_summarizer\"\n },\n \"id\": \"306645e3-f44e-496b-82e3-89528a3cb018\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"6ba3dfa0-ab28-4c67-963b-125237338956\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b0d6400a-7163-41aa-a4da-49b73743afae\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"autonomous_vehicle_log_summarizer\"\n },\n \"id\": \"fab62e3d-60f5-4030-b24f-79048c151155\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"autonomous_vehicle_log_summarizer\"\n },\n \"id\": \"21ae647f-f8c0-4836-a929-6288d7d3ea07\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"76f513e1-1d3d-4305-b49f-219caeff0bf1\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8fa64e3e-f5b5-449b-8ff3-8340e32125e7\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"cf5c1179-cbb9-486c-b189-b3e224cda317\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"9c387136-e363-4810-8870-7389b629e889\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"7f29dacd-3994-48f9-923b-f1cdaef9b3c2\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Autonomous Vehicle Log Summarizer", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Car Insurance Quote Generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Car Insurance Quote Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Car Insurance Quote Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"89ff71d5-b2e7-4a66-8acc-821b7f4ce91e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"car_insurance_quote_generator\"\n },\n \"id\": \"168d9283-faee-4f7e-a134-f3bfc1294cf0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"155ee3a1-a300-46a2-bc8b-0218a56b0498\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a8bf8d60-8ef2-4cc7-8b05-33f248e49e1f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"car_insurance_quote_generator\"\n },\n \"id\": \"cd9554af-fc27-42e3-9df0-e6fce15d4f14\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"car_insurance_quote_generator\"\n },\n \"id\": \"d87552ca-cc95-45b7-9e8e-4695b9a94dad\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"0ca4315b-ba75-4781-9fe4-9f84217a1031\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5577f119-6005-4dd8-85f9-42ff72058e0c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1b8b3b4d-faa8-4150-9d4f-0413299c391d\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"86abc2bc-4caa-44f0-a502-b0ae8524911d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"25d690be-7683-419e-b615-b4f10fc46518\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Car Insurance Quote Generator", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Connected Car Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Connected Car Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Connected Car Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e508bf37-1d29-46fb-9d2b-09fc09903dec\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"connected_car_alert\"\n },\n \"id\": \"5b5062a3-d8a9-41da-a687-2b830fbde108\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1e33aee3-41f1-4292-8498-658fea4f49f2\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"54f0918a-2f89-464b-9471-b54f1ef9a6c1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"connected_car_alert\"\n },\n \"id\": \"2aa86725-8272-4298-bd3c-33baaee4dd2e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"connected_car_alert\"\n },\n \"id\": \"1952da2b-e537-4846-bfda-c78a5a9481c9\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"52207087-2724-4839-8455-1c7ad2f9664d\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"65b228b1-b9f6-4c9a-a2de-8122bf06a511\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"64c10477-4721-4bf3-bbfd-d9ba4d459302\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"50bb6eb4-0753-40b9-9969-8c54311a32a6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a7973fd2-bd62-414a-99fd-76f54b95a67b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Connected Car Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Dealer Lead Qualifier", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Dealer Lead Qualifier\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Dealer Lead Qualifier\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"10cea33a-c000-4e24-9f0d-2171b4677fc1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"dealer_lead_qualifier\"\n },\n \"id\": \"6efd10a1-1894-49b8-86db-299fc884d2b0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c3617701-6658-4f40-8050-b84d2f4b92a6\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"294923f9-1194-4e09-929f-0f65cfc40184\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"dealer_lead_qualifier\"\n },\n \"id\": \"0e73daad-2242-453e-af1c-bd6d96acacd5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"dealer_lead_qualifier\"\n },\n \"id\": \"0c18eeed-c8c9-4771-8495-1ad3c1724145\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"513fa07f-a331-473a-82d1-a5be5d7deedb\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"caa6f351-58ce-405d-98d8-24a036970942\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fca8e004-a059-4362-bad5-1497d584cd69\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"47f4542b-b789-4c81-99b2-3b44d5e19ba5\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"6879e7bb-3330-4068-b9a3-a568447e9a22\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Dealer Lead Qualifier", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for ev battery degradation report", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"EV Battery Degradation Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## EV Battery Degradation Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"92c42e02-8510-40a7-812a-1e1977b1a0ee\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ev_battery_degradation_report\"\n },\n \"id\": \"3673f4d3-f755-4da3-a989-f73a24d9458c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"237228ff-e1ce-4dd2-810d-26b6a27ebfcb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"97d79812-1e9e-443b-9f5c-8532436082cc\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ev_battery_degradation_report\"\n },\n \"id\": \"d59c7a2d-af7e-4752-a673-388d42eaaea1\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ev_battery_degradation_report\"\n },\n \"id\": \"c3337778-91bb-421b-881e-e5c90c6fa26e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"a3b3a77f-8cf8-4d08-b18d-685b140576a9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac626ece-e1db-4620-8899-6f0558f4598f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a5f1e8ab-5994-436a-a2b6-0ccbf8153786\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"439a0f84-096a-4d10-a8c4-b919f7cedfed\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c36303da-2313-4660-a78b-1db36ae3ea7e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "EV Battery Degradation Report", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Fleet Fuel Efficiency Report?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Fleet Fuel Efficiency Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Fleet Fuel Efficiency Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"80c93476-5b63-4243-94f3-de3e9edffc44\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"fleet_fuel_efficiency_report\"\n },\n \"id\": \"22ccad0a-ae97-4c60-a0c4-514047993d2d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b9fab98c-4465-45eb-889e-c5b7d9c1f014\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a777db21-1e21-4aa3-b7a8-3b975eda2f97\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"fleet_fuel_efficiency_report\"\n },\n \"id\": \"870dab94-5dc3-4c03-9552-619966cf2443\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"fleet_fuel_efficiency_report\"\n },\n \"id\": \"e45aef9d-9c90-4887-a1c4-b28e5395b1ec\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"388e876a-5629-47b9-946e-91dfd93c9ba6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"be428e1d-04e9-4356-a763-793b4b5c45fb\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a9dc5065-784a-4f54-bc09-c68b9e2907b4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"7729e1d0-81f6-462b-a34c-7636a61f650b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c20e8f05-4f9a-4f02-a0e2-76ca2d48e821\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Fleet Fuel Efficiency Report", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Recall Notice Tracker?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Recall Notice Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Recall Notice Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"cabaeeae-138e-4bba-ad66-dc60b7bdcc67\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"recall_notice_tracker\"\n },\n \"id\": \"62d1a9b6-18e5-4359-aee8-16265d3e175c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"97ac992c-ece4-47bc-81d4-4e20c51eb129\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"07e8318a-41fc-4bd5-8b9a-42a189dcddff\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"recall_notice_tracker\"\n },\n \"id\": \"38445783-55bd-4f33-aeb5-7d1a0764f213\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"recall_notice_tracker\"\n },\n \"id\": \"a71adc9a-d907-4df5-b013-891ba7a48b3c\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"a5f1c62f-0571-4c5d-b6f1-6737fb1ced90\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ad0a4111-4d64-40b5-9c6c-011d3227cfab\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f620de67-8533-417f-8d5b-875ac5447956\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4890950f-b7ec-4ff3-85c9-5315e6a21713\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"24428616-20e0-4e79-a4b2-9d0c0e357b88\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Recall Notice Tracker", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Ride‑Share Surge Predictor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Ride‑Share Surge Predictor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"7222b61f-b1d0-40fb-860e-aeaf26ea912b\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ride‑share_surge_predictor\"\n },\n \"id\": \"4ec2ed88-4a2c-40fa-bc2c-dda08c017360\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"abb13c14-b10a-4342-9c04-8056507a00bf\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"02afbd9e-d321-4d50-bb43-d0fa1f1f0703\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ride‑share_surge_predictor\"\n },\n \"id\": \"50e25b84-39de-4834-90bf-c53a7a6cff18\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ride‑share_surge_predictor\"\n },\n \"id\": \"4e092827-7e60-48ba-bd4f-53d1e7156691\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"a33b8427-b94a-493e-92ce-0a80c90d71ab\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"120d49c6-3bb8-470c-a774-b70b8a967334\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"958f0356-b4b0-4423-ae38-74eadea35b4d\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"babe4dc2-d3bd-4101-9dca-fa1525130630\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"eb65c8b5-3bf2-4467-ac01-0238dd992025\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Ride‑Share Surge Predictor", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter to vin decoder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"VIN Decoder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## VIN Decoder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"793bdb20-2ef2-43ac-bcb3-065bc1678e6f\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"vin_decoder\"\n },\n \"id\": \"d4dd3e5e-8acb-4442-b5e2-4c4007671b19\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"054255a7-df65-4031-b72a-102ea45a911e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6c43b82a-ec86-4ff3-ad0e-6f4af66c4b48\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"vin_decoder\"\n },\n \"id\": \"562ee6e4-31b9-4f5a-b607-1e980533be6f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"vin_decoder\"\n },\n \"id\": \"650713b5-7617-4809-9a9f-f08b29398e68\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"b51f852e-23ba-4e6a-8276-d17170435cff\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b7b36300-8fa6-4766-a9a3-f7a3c8edb38e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0ad2d850-02d1-4adc-a968-b2eaff930334\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3f3fe1b1-c730-466f-82b0-90244506d79f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"ed2e5eae-1ece-40ed-9f2a-005dbccd651d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "VIN Decoder", "node_count": 11, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to youtube transcript to blog", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"YouTube Transcript to Blog\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: YouTube Transcript to Blog\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"bd0e0586-b4e8-4da9-8d93-57602a5219de\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"youtube-transcript-to-blog\"\n },\n \"id\": \"fe1b58d8-2bdc-4ce8-bcf8-95c9b0b6477d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ceba2716-6fe1-48de-9bad-512e27bac9c1\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"20c8a22e-bf48-44b4-ac45-74b80231e773\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_transcript_to_blog\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_transcript_to_blog\"\n }\n },\n \"id\": \"d5bd2477-053c-4954-b46a-607df0a23935\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_transcript_to_blog\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_transcript_to_blog\"\n }\n },\n \"id\": \"d5b8f51f-8904-4039-ab7f-d4cffd717b14\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"42485b1f-2381-4e86-91af-ddbb3b687689\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5fccb006-c66d-407a-b010-a9f7ca49c0d7\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1454b8d0-0703-45e1-b51c-2f9396b4e4d1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'YouTube Transcript to Blog':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for YouTube Transcript to Blog\"\n }\n },\n \"id\": \"a8c23beb-eeb0-45bb-bee8-7d841bf39330\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"YouTube Transcript to Blog\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"333c30d3-f292-497e-af3d-fffa5575fd75\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"YouTube Transcript to Blog error: {$json.error.message}\"\n },\n \"id\": \"f84bd864-69d2-4c78-a3df-e0d4bdaf36c0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "YouTube Transcript to Blog", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to competitor price scraper", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Competitor Price Scraper\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Competitor Price Scraper\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"3658f18f-6ed3-4c14-b12d-9ec7fadc03f9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"competitor-price-scraper\"\n },\n \"id\": \"9b5a4057-4b5f-44f7-aea9-847d23a8f821\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3b015342-843e-40e8-8164-734611f2c7aa\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"3b77afdb-828a-48bf-ab39-5600c4ac8512\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"competitor_price_scraper\"\n },\n \"id\": \"217480ed-2ad6-407d-80fa-0d5284905815\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"competitor_price_scraper\"\n },\n \"id\": \"90ed9d12-3239-48b0-b5a5-23fb2a0172ea\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"68bc4d4a-293e-4252-8a88-486aa3e3cb5f\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3d31e91e-ad51-4967-903f-7ae2c598a870\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"af6568a4-96a6-4b41-8be0-730fb7c0b328\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Competitor Price Scraper':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Competitor Price Scraper\"\n }\n },\n \"id\": \"c0a57592-08d8-4b83-80bf-73b63a29966f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Competitor Price Scraper\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"ff81c3bb-35e8-428d-9ad9-491707d7ee15\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Competitor Price Scraper error: {$json.error.message}\"\n },\n \"id\": \"9f49421e-8263-4127-ad94-e063318685fb\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Competitor Price Scraper", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"GitHub Commit Jenkins\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: GitHub Commit Jenkins\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"5e656fa4-c9ef-419c-b8e5-93b4dd837c81\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"github-commit-jenkins\"\n },\n \"id\": \"faa3187e-7313-474f-b54a-a25790101607\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c5119e77-1c04-4245-9cd2-2f9538fbb8d0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"fa72e972-a6f0-4352-a738-37f9167c5294\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"github_commit_jenkins\"\n },\n \"id\": \"8cdecff9-3760-4347-b0db-d24928bae5b4\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"github_commit_jenkins\"\n },\n \"id\": \"fe3e81f7-097a-4322-84a0-e7d24f7db8e8\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6f4c86c2-e1bd-4ecf-83cb-b2ceb4b73e6a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dace1819-1ddc-4e66-bebe-08fe643516bf\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"91e7ee4a-61ff-479a-acc6-57c7a51a9a70\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'GitHub Commit Jenkins':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for GitHub Commit Jenkins\"\n }\n },\n \"id\": \"3e35e0ca-1355-462b-8f1e-840b1736fce5\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GitHub Commit Jenkins\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"3624b160-adce-4657-853a-bbf8d6948a1b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"GitHub Commit Jenkins error: {$json.error.message}\"\n },\n \"id\": \"9a67ce5b-4abd-4f9f-a5da-5113300ef9ff\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "GitHub Commit Jenkins", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "How would you build: Abandoned Cart Email?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Abandoned Cart Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Abandoned Cart Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"1f91297f-f9dc-49bc-8f96-92814dff32be\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"abandoned-cart-email\"\n },\n \"id\": \"b0c4f170-934e-4434-abbe-6342cd9edc36\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f706155b-01d6-49fb-940f-bc1d7f858569\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"593f3c9c-58fa-4f29-8a3a-8745c7ff7fbf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"abandoned_cart_email\"\n },\n \"id\": \"a7f02c99-3494-4acd-b70e-cd3cca069599\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"abandoned_cart_email\"\n },\n \"id\": \"fb8320a7-7433-4329-b54c-f696059b14b7\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"558a9d97-652b-4e88-bd35-5ed2085625d3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8dce5c28-4831-448c-a578-9e970cf68744\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"fba89352-184f-4f77-8b83-958a9c0715f3\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Abandoned Cart Email':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Abandoned Cart Email\"\n }\n },\n \"id\": \"6ade5738-8ced-40e6-8a24-501cca90ab49\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Abandoned Cart Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"f7cf072c-e32b-4c38-89f0-79584144fd5b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Abandoned Cart Email error: {$json.error.message}\"\n },\n \"id\": \"76275d42-14ed-4e55-aaf8-bd1557c263c9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Abandoned Cart Email", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for inventory slack alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Inventory Slack Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Inventory Slack Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"fd1368bd-bfe5-41c8-956a-7157c20474a6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"inventory-slack-alert\"\n },\n \"id\": \"d44d9365-6e28-403e-9ead-123bfa06de69\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"075a1773-e19a-4f6d-8898-76b4c9b0db8d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f7806342-0e9e-4004-a06d-4f02929951ec\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"inventory_slack_alert\",\n \"mode\": \"list\",\n \"cachedResultName\": \"inventory_slack_alert\"\n }\n },\n \"id\": \"18b389fd-f2bf-45f4-9042-089f27ecac65\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"inventory_slack_alert\",\n \"mode\": \"list\",\n \"cachedResultName\": \"inventory_slack_alert\"\n }\n },\n \"id\": \"da362152-0424-43bf-a373-a683f53e4a75\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"23c62312-3faa-4526-9e41-d4a9a9384d3c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f1af3590-a114-4b63-897a-8961b4c9f97a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"03e57d37-e504-4a9b-8a33-6a82c93485cb\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Inventory Slack Alert':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Inventory Slack Alert\"\n }\n },\n \"id\": \"5966c068-4e76-4c29-9a7a-7594639ef53a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Inventory Slack Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"247d117f-7c88-4f0f-8dd3-53aa6b0a84e0\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Inventory Slack Alert error: {$json.error.message}\"\n },\n \"id\": \"c8395d01-4d77-47bb-a940-f6b4ec9e598f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Inventory Slack Alert", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Shopify Order SMS\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Shopify Order SMS\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"43d4baf6-302b-4141-a67e-df7df86b03e0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"shopify-order-sms\"\n },\n \"id\": \"65c17543-498e-443e-993c-02af712d566e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d091bc86-264b-441f-aca1-21f14aa3022d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ae0788c7-71b3-4c14-9260-eb37e7f0a9ff\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"shopify_order_sms\",\n \"mode\": \"list\",\n \"cachedResultName\": \"shopify_order_sms\"\n }\n },\n \"id\": \"a9decd23-8efc-4c95-b1b0-839196ed3520\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"shopify_order_sms\",\n \"mode\": \"list\",\n \"cachedResultName\": \"shopify_order_sms\"\n }\n },\n \"id\": \"54495b0b-370e-46a9-b5b5-2d9d0162b40d\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6a98c770-fb1e-4c32-a97a-725116bafec5\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"cf97460a-684b-4fb9-a722-05a7ff26bb97\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1d87e1f1-30c0-43e9-9d50-bbf5aa676ae7\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Shopify Order SMS':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Shopify Order SMS\"\n }\n },\n \"id\": \"16053bc3-704a-4649-8088-8af634649f2b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Shopify Order SMS\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"80e6c213-6f3e-4d15-9539-c4999aee3d0e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Shopify Order SMS error: {$json.error.message}\"\n },\n \"id\": \"bdcb167e-b59d-4b53-b151-dfe70f2f28ab\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Shopify Order SMS", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Daily Student Motivation", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Daily Student Motivation\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Daily Student Motivation\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"26995548-761c-41fa-9727-9c1538208723\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"daily-student-motivation\"\n },\n \"id\": \"b4ee6923-9695-4d25-879e-d51682b416d6\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"950769fc-8534-4ffa-9fad-8c9cee196dea\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"ce4e7e23-937e-4177-8f1e-14263defeac1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"daily_student_motivation\"\n },\n \"id\": \"1a53eb05-9c9d-482a-8333-71b326df96cf\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"daily_student_motivation\"\n },\n \"id\": \"6f0f012d-1cd7-42e8-902f-7f8cf0072089\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"5d7acfa3-f322-4676-a6d4-5ac645b1e2ee\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ec33fdb2-eb3a-4e01-8489-6a592afc834f\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"020dfb0b-5272-4ff5-8ea0-10363909cd28\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Daily Student Motivation':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Daily Student Motivation\"\n }\n },\n \"id\": \"32e3b5c4-c532-420c-b350-51def592d5a4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Daily Student Motivation\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"d25ae892-f0e7-4d93-b488-b7c62c9da5b9\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Daily Student Motivation error: {$json.error.message}\"\n },\n \"id\": \"18b62a7a-11c2-48b3-a7cf-cd2d11a95496\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Daily Student Motivation", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Quiz Auto Grader?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Quiz Auto Grader\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Quiz Auto Grader\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"52dc6fbe-f7af-43a8-9226-241e163e6bbf\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"quiz-auto-grader\"\n },\n \"id\": \"f25da8be-15a9-4fe8-b28c-5343b8a88f29\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"62c88abc-3c7d-4fac-9166-2b6d785992f7\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ccd8538c-3116-41de-97bb-77e5ef4e6c70\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"quiz_auto_grader\",\n \"mode\": \"list\",\n \"cachedResultName\": \"quiz_auto_grader\"\n }\n },\n \"id\": \"b28de69a-1f40-4fa8-bc16-62541d526207\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"quiz_auto_grader\",\n \"mode\": \"list\",\n \"cachedResultName\": \"quiz_auto_grader\"\n }\n },\n \"id\": \"ab2f14e2-be2d-4512-88ee-3ebdacc3d599\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"73dd9881-3272-4e9a-a422-edf99d78f40a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3e44774a-5dcd-4e4f-9b4b-94f4fe9ba8cd\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"fdb6fb02-28f6-4bac-8502-699dc8723223\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Quiz Auto Grader':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Quiz Auto Grader\"\n }\n },\n \"id\": \"1940fa89-ede4-4c27-82fb-7678cff0df54\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Quiz Auto Grader\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"a3db64cb-9ea7-4a36-8463-219917f66358\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Quiz Auto Grader error: {$json.error.message}\"\n },\n \"id\": \"94d962e2-f5e4-40a1-a075-96e8e9858b32\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Quiz Auto Grader", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Auto Archive Promotions?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto Archive Promotions\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto Archive Promotions\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"c8c1846b-13b0-4c02-9fe5-4d00953318c3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-archive-promotions\"\n },\n \"id\": \"88b8b314-a8a8-4764-a7b2-ae433e56d008\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8ec45fc1-8df0-49e9-afd6-7feddd280948\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"4980a2e9-1bb5-4754-ad54-427044caa38d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_archive_promotions\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_archive_promotions\"\n }\n },\n \"id\": \"e7ea191b-5779-4f89-8254-1dc72d0d990a\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_archive_promotions\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_archive_promotions\"\n }\n },\n \"id\": \"2692ac89-af93-466e-bffa-81ccc09da686\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"64154d66-1337-4f3a-87b8-f6548cb9b47f\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"eeaa1f48-794b-44d4-98db-18f3b289aa6f\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"6740f1df-ab97-416e-855f-6d521ad89b9e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto Archive Promotions\"\n }\n },\n \"id\": \"8d11beaa-7934-4927-9519-d14d2ea885ef\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto Archive Promotions\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"fcad99f4-60fd-4c33-b12c-78aa0284651e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto Archive Promotions error: {$json.error.message}\"\n },\n \"id\": \"dc986a7b-8dbe-45f0-a73b-6584e5be6821\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto Archive Promotions", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto Reply to FAQs\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto Reply to FAQs\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9346afca-4798-4807-8f7a-b1298919df74\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-reply-to-faqs\"\n },\n \"id\": \"692d46f2-9045-416a-b0cd-8e42fd3230c5\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"83193912-ef89-477a-b6b9-c293b5498153\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"1fb02ad8-15e0-49c7-8271-a9af5c511da2\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_reply_to_faqs\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_reply_to_faqs\"\n }\n },\n \"id\": \"45600a7a-615a-4733-ae13-a394bd19bfea\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto_reply_to_faqs\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto_reply_to_faqs\"\n }\n },\n \"id\": \"8620fcf8-2067-4776-8f6a-fb896d765342\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4f9229e7-bf9d-4de4-b51e-49aa8553dfef\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d42590ab-e482-416d-9418-9dc595ac9b04\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9b993db0-8564-4ff1-839f-ce059f1d8545\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto Reply to FAQs\"\n }\n },\n \"id\": \"2395d437-ac56-4637-b4a6-4c626f217ae7\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto Reply to FAQs\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"2bc49ad8-7cc0-4cbc-b72e-3ccaa19fb8e2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto Reply to FAQs error: {$json.error.message}\"\n },\n \"id\": \"44f0bf88-3961-4ec3-b965-011224fba8a1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto Reply to FAQs", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to daily email digest", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Daily Email Digest\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Daily Email Digest\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"47d7b2cb-5d44-4625-aeab-33e0b7ce529f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"daily-email-digest\"\n },\n \"id\": \"a079decc-ca6c-4248-b4c9-34deb17c8d26\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8d196219-7de5-428e-8e88-420abfcc9237\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"8c20a8a3-3002-4d4f-b46f-cf859d229655\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"daily_email_digest\"\n },\n \"id\": \"ae6e7c84-9dbb-4ec7-a621-1a1e438941b6\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"daily_email_digest\"\n },\n \"id\": \"f3ba587a-bd11-418d-9998-395164701bd3\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"eed3ad49-c219-4c4a-b420-eff8b6401981\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6622f4cb-bdbe-4c76-9ea0-25cf1e2ce2a4\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"edd62db3-4bfd-4ab4-b4e5-0e038b0beec1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Daily Email Digest\"\n }\n },\n \"id\": \"0e624e84-3f49-49d4-b0eb-a3268f6984d0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Daily Email Digest\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"dbec21d4-50e8-47a6-a920-6da576ebc01d\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Daily Email Digest error: {$json.error.message}\"\n },\n \"id\": \"487c7190-b1d5-4770-b503-ec7ce44ad9ba\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Daily Email Digest", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Follow-up Emails\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Follow-up Emails\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9f233e35-f7da-4e01-9423-5b375143b2b8\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"follow-up-emails\"\n },\n \"id\": \"cb84f658-4d92-43b6-ba38-6511ad71ac6d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fd9c8817-cd20-4521-a501-ddf62864c092\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"86dbd6f8-2249-41bf-8efc-6b93892ff5b1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"follow-up_emails\"\n },\n \"id\": \"f61052dc-bfaa-4aae-aad7-40fdee0bec99\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"follow-up_emails\"\n },\n \"id\": \"6c4053cf-94a1-4a38-9f15-5d6b3cddfc0c\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"b571563d-fc66-45e6-99f0-d5de332b07ec\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bce39b85-50bc-4202-9ec4-6e23a06345b3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1a8964b2-92c9-4aa2-b56d-3e4c4f5fa4c8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Follow-up Emails\"\n }\n },\n \"id\": \"de0333cc-9bb6-440a-9f09-591436941922\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Follow-up Emails\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"bf20f642-7227-4478-aa9b-4c507ca51c57\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Follow-up Emails error: {$json.error.message}\"\n },\n \"id\": \"d7266d35-f67b-48b9-ac50-86b7298d5939\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Follow-up Emails", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for forward attachments", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Forward Attachments\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Forward Attachments\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"15ea4b74-7127-48af-9f59-629bb14a2bd4\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"forward-attachments\"\n },\n \"id\": \"8a67f7cf-b9f0-4c6c-9560-e9d746f29c98\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9bad17f7-55c2-41d5-99dd-ba0fd211777b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"e135820c-3de0-4731-b76b-1ca54b2f6ed3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"forward_attachments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"forward_attachments\"\n }\n },\n \"id\": \"dd4b9606-bfb4-44bd-a9f8-fbdce7127924\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"forward_attachments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"forward_attachments\"\n }\n },\n \"id\": \"fb46a67f-195f-44a8-ae68-383e70e3ca41\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"3ef19169-0bbf-4f8c-a01e-e66d7c8e9c92\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8a4d7ddf-836b-49b9-8a57-d6bf92b44cdd\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"e208345d-1ccb-43fa-ae90-5f90e8d40d9a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Forward Attachments\"\n }\n },\n \"id\": \"06cce445-64df-4a85-a1d0-e5d3960583b1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Forward Attachments\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"df7aa3a4-ff0d-4289-bbc1-c06bcd3596b7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Forward Attachments error: {$json.error.message}\"\n },\n \"id\": \"d59d6048-34a9-481e-b729-51bed8088528\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Forward Attachments", "node_count": 12, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for lead to hubspot", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Lead to HubSpot\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Lead to HubSpot\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"056c084c-5b6a-48a6-ba89-9fb86bfb9ece\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"lead-to-hubspot\"\n },\n \"id\": \"d53202f1-2095-44db-b12d-450cde7d1dd3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1714cebd-2e6e-461c-97ee-adb767be43ea\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"831ece73-5cea-4505-abc2-138247802af1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"lead_to_hubspot\"\n },\n \"id\": \"dfc452c0-7fbd-4fdb-8f5c-84efc4681695\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"lead_to_hubspot\"\n },\n \"id\": \"ce705b14-0b85-4bdb-bcb4-ada69abcd91e\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"2d2a1930-7e4d-4a08-9917-82c2fe049aee\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"20c8dd61-5a12-4ccc-8706-b29e67284644\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"0c222da2-dec8-4ca5-bb96-164cce3678ca\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Lead to HubSpot\"\n }\n },\n \"id\": \"e627df3a-42af-4589-8597-bc365d08d2db\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Lead to HubSpot\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"17f41ec2-068e-480e-b897-33528e49ac3f\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Lead to HubSpot error: {$json.error.message}\"\n },\n \"id\": \"256bec9e-fb7f-48cb-8811-2a1645af34ef\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Lead to HubSpot", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Show me an n8n workflow for mailchimp campaign tracking", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Mailchimp Campaign Tracking\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Mailchimp Campaign Tracking\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"eebc24a2-4ca9-4c7c-8053-42b97cc10da5\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mailchimp-campaign-tracking\"\n },\n \"id\": \"7c08e3ae-6992-45a6-b5a6-574ff186b449\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ac546136-8d14-4a7d-a2d1-193fe6b7cf1a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"5c980081-b726-4ac4-9260-8661cf42f865\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"mailchimp_campaign_tracking\"\n },\n \"id\": \"61e492b9-447c-409c-b7a2-d2a04d8092f5\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mailchimp_campaign_tracking\"\n },\n \"id\": \"177c6403-48a9-46a4-87be-fa747d45a07d\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"a6a5e296-7190-4c5b-8912-231acd71dcb3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"65fd57be-648d-4bfe-90f6-99ba29a87625\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"20f9ac92-c53e-4391-8115-01e68528cef1\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Mailchimp Campaign Tracking\"\n }\n },\n \"id\": \"1eb0cccd-e8f5-4891-a400-e4e3e8f7a6bc\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Mailchimp Campaign Tracking\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f714ccc1-8d56-469e-ab46-f15c0d2a1a98\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Mailchimp Campaign Tracking error: {$json.error.message}\"\n },\n \"id\": \"8d5bc20a-0398-4fb0-b40e-bbf6694f7192\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Mailchimp Campaign Tracking", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Build a workflow for: Parse Invoice Emails", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Parse Invoice Emails\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Parse Invoice Emails\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"a9239a2a-4213-4217-acfb-cbc104aad31a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"parse-invoice-emails\"\n },\n \"id\": \"dda8050a-0edc-4b73-92bd-686e48e63e1b\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"50b68a75-9985-47db-8686-9477706474b3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"2f2358b0-a8e3-460f-b5b0-72a194019586\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"parse_invoice_emails\"\n },\n \"id\": \"134a8b92-3314-4397-8b77-1a6bca52a7d4\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"parse_invoice_emails\"\n },\n \"id\": \"ceb03c85-f352-423c-911b-4d30abee397e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"adfd835e-81cd-4afe-ad69-d8e6f78c27af\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7cdd9592-0400-4ad9-9a11-a26367d7cb4b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"c0acfc97-9afd-4f56-88de-7c0e2b1cfd1d\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Parse Invoice Emails\"\n }\n },\n \"id\": \"d2e31148-f0c1-4164-97f9-670bf929a2ce\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Parse Invoice Emails\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"12711eea-68c0-49f7-809e-26f516e2a96a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Parse Invoice Emails error: {$json.error.message}\"\n },\n \"id\": \"91904d0c-429d-4890-b73b-0e0bb77b8ac7\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Parse Invoice Emails", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Product Launch Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Product Launch Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"61b01104-d0ec-4196-8d4f-a4d07cd749cd\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"product-launch-email\"\n },\n \"id\": \"7ad673f2-6e28-4d06-b9c6-663a6fde1726\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ae25e008-ce10-4ee7-9fb1-11caf5e12e81\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"45c0d7d3-f8aa-44cb-9424-e08f4e39fbbd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"product_launch_email\"\n },\n \"id\": \"f5bce02a-2fe7-44f9-8958-a83cc9cc11e3\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"product_launch_email\"\n },\n \"id\": \"98bbf1d4-b9de-465c-bd80-daf1a95d31e2\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"7a04f90c-b92f-463c-b680-aababbec2f83\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"92265498-841d-4ba3-a444-250abc4665e7\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"7e5a965d-74d7-4c17-b587-8882ad721511\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Product Launch Email\"\n }\n },\n \"id\": \"ba3f12f2-3db3-46ed-bd42-cabe92f48831\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Product Launch Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"0271fc8f-6af0-4a00-8fe2-4ff50ebedc45\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Product Launch Email error: {$json.error.message}\"\n },\n \"id\": \"c4784deb-12bd-4273-be2c-a7b6e76e28e5\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Product Launch Email", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"SendGrid Bounce Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for SendGrid Bounce Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"33c24c3f-fbf8-4461-b748-983270488128\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"sendgrid-bounce-alert\"\n },\n \"id\": \"a3b0ea8e-7b9b-40d8-b942-857e800281b2\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0e37fa2c-1524-46f4-8809-c469faef23bc\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"bd0a5c1f-6add-4133-9d92-73491a90e45d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"sendgrid_bounce_alert\"\n },\n \"id\": \"f73cb3be-a874-4a02-a997-3953032b3de5\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"sendgrid_bounce_alert\"\n },\n \"id\": \"b21ab497-8f7d-4420-8584-c1ccf7243d63\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"16a0a9d0-3851-46b9-8830-83c3c75a28ac\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ede2aa4c-94e5-4890-ac9e-41d6c24e1779\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"79910783-a249-4d46-9fe8-f8d763e030d9\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for SendGrid Bounce Alert\"\n }\n },\n \"id\": \"8c19f7ba-df58-44c6-8a70-70d747b0e2b9\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"SendGrid Bounce Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"adc64b6e-f045-4d6c-a38b-41c33af872f2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"SendGrid Bounce Alert error: {$json.error.message}\"\n },\n \"id\": \"dce8248e-a281-492c-bac7-fca5243ec8e5\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "SendGrid Bounce Alert", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Battery Health Monitor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Battery Health Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Battery Health Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"8e490880-8ec5-4833-87b2-675e5774a36e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"battery_health_monitor\"\n },\n \"id\": \"eae8288b-f1c3-4b83-acf0-733e84ee8f1c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9839c629-fadc-4560-9db3-f3d4f3434b98\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a3f4a4c9-f7f1-41e0-9647-c1f3a98f2aab\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"battery_health_monitor\"\n },\n \"id\": \"f712aa1b-a9c2-4cff-a74c-c60a3839c172\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"battery_health_monitor\"\n },\n \"id\": \"0211e7eb-acd7-4d06-bf54-d86f8f9d2384\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"f0bb0826-cf8d-4585-ad2f-0fd09e9d7bc7\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"30239060-9fc8-49ba-a0f4-a1b7b06d0bee\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"286ce6ac-cc15-4c15-a5d9-c29d36b79eca\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"983b0f02-ff0a-497b-b0da-9152f7e4d142\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b549d047-5e96-4c29-8884-1dfad8414857\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Battery Health Monitor", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Carbon Footprint Estimator?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Carbon Footprint Estimator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Carbon Footprint Estimator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"359249c4-cae3-4ea7-8be6-1ca93d1025ce\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"carbon_footprint_estimator\"\n },\n \"id\": \"d82d5ffc-e2ce-429a-a497-ef3efc2dbc65\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"98755918-b327-4da0-b94c-2748cd224b00\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"af35c17c-cef7-4552-9982-9dd4eb6588af\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"carbon_footprint_estimator\"\n },\n \"id\": \"793b06f3-d60d-4ac8-bf41-43a6ec9afc9d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"carbon_footprint_estimator\"\n },\n \"id\": \"88900446-1262-4aca-aee2-74a92a01382d\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"46dcb071-d2c2-4ba5-b8ab-22ab7c75eb90\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dd965359-b1af-45c3-b3d8-c016b381756d\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d6794330-4dda-4b04-9b11-21ea1af000db\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"1058e490-9641-48a3-9b4b-a9ee9b0b6c79\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"61ac47fc-20af-427c-9db9-ba70c87e527a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Carbon Footprint Estimator", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Energy Consumption Anomaly Detector?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Energy Consumption Anomaly Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Energy Consumption Anomaly Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c18e4640-3b84-4bab-98bc-b70a65723764\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"energy_consumption_anomaly_detector\"\n },\n \"id\": \"a84f44ec-e5cc-4b7b-9dc4-c2bebc16b9f2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"196995f4-370f-4e85-863b-56e9ef67e1e8\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f345618c-ec83-448a-90e5-7166941a3f47\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"energy_consumption_anomaly_detector\"\n },\n \"id\": \"5236bb9d-9a5f-4f96-8512-860b5019bf90\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"energy_consumption_anomaly_detector\"\n },\n \"id\": \"5b4e4dd7-4d72-4134-86ee-ed3309aca576\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c84c0fd1-c002-48ef-b6ab-24aec0a29b06\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b9bf45c2-d96c-48ce-b18d-8abfd8cc0c86\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b1bd3b76-00d8-418c-8d7c-e13bad3e0963\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"9616d716-66ef-4bc2-9274-8312cd5210bd\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2ac39712-36a7-451e-98ed-682294bada65\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Energy Consumption Anomaly Detector", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for ev charging station locator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"EV Charging Station Locator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## EV Charging Station Locator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"b3d4e2ca-a0ca-48a4-a2a6-54ba5cb6d5f1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ev_charging_station_locator\"\n },\n \"id\": \"331111b2-83e7-49e1-ae03-21851b592936\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9441a6d8-459c-456c-b62f-52bf6595a720\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f9c8224f-a498-407d-ac3d-cee3816a0f4c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ev_charging_station_locator\"\n },\n \"id\": \"1b6ee4f1-cf7b-492f-a8ea-fe1b9e084b74\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ev_charging_station_locator\"\n },\n \"id\": \"e0429913-bd7f-44af-ba35-ee3d32a49129\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"6b629abb-0f22-448a-b656-80edf826de4b\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2f4424ae-ed8a-4346-900c-6f1f690a9652\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0e420653-fd49-4fd1-9005-911ece7931b8\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"25da7439-d468-436e-806d-2ab825ea64db\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b88fad4c-d1ca-40e7-93c9-647cf7530eba\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "EV Charging Station Locator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Build a workflow for: Fuel Price Monitor", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Fuel Price Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Fuel Price Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"212807c8-eb78-4896-abde-d45490bc8162\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"fuel_price_monitor\"\n },\n \"id\": \"f007a66b-9a09-4015-bd12-c4372f2a09b7\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f6d6d176-6a82-4a81-ad07-3d8a6f966bd6\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a659d2db-9e31-4109-870d-18aa02ff430b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"fuel_price_monitor\"\n },\n \"id\": \"8f5a00ab-f203-44a7-a0e7-cda4c826ff4d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"fuel_price_monitor\"\n },\n \"id\": \"302ed335-a570-49eb-a5ce-018d5d278b30\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"c7d97d40-d00b-4728-8d15-09e1b67f8798\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6e671170-08ee-4230-a79f-180b8127e72c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a84861c3-3108-4fcd-91e5-f5299311896e\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"00ca9897-6615-42bc-b95e-eff519ad11bc\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3ccbfc3c-1b58-4f3d-bf24-5798c423f9d1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Fuel Price Monitor", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Grid Load Alert", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Grid Load Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Grid Load Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e7633ef7-2eb6-47c4-a3e3-366da7a646d1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"grid_load_alert\"\n },\n \"id\": \"b37be8c1-831f-44f5-8b55-28a9702cc37a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"571fcb73-1c33-4ee5-aeab-2204465da37e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"227d83d6-1a6b-4db0-a46b-ced721ae7904\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"grid_load_alert\"\n },\n \"id\": \"4ddc60fe-82e9-4b8d-ac82-de244497fba8\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"grid_load_alert\"\n },\n \"id\": \"cbef5dd2-7feb-44d4-b205-69146c7d47e7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"61819858-5fd7-4406-914c-351e3352f360\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6bd0a1fe-d0c2-4cff-acba-9bed55adc915\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3a6f67e2-b81c-4aa7-b51e-8c25061dac3a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2fcc10dd-5bc4-4c74-bc5f-f00a6435a321\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8a65e4e9-e2d4-410f-bd42-ac50a8e54c8c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Grid Load Alert", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Show me an n8n workflow for power outage sms", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Power Outage SMS\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Power Outage SMS\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"05625788-4196-4761-8f3f-1d225d696bfd\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"power_outage_sms\"\n },\n \"id\": \"9d7f9871-1a5f-49ff-97a3-56e523b40934\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2e3dd33d-75fe-4c3b-8a3d-685e8ae2dafc\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"d11df096-a57a-4369-bbcc-a3131f204a4f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"power_outage_sms\"\n },\n \"id\": \"64a28761-d24c-4d6d-8e62-d89d283f4c5c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"power_outage_sms\"\n },\n \"id\": \"16248ce3-1009-41f2-a192-54f336f8c5e1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"4866877c-7200-4d47-93d2-3a63e22a5781\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e233dea2-2f3c-4f1c-af92-c66076fbcfdf\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"421534dc-7b0a-4f34-97ec-86def7643e00\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"426a8449-96f9-402a-96b1-0737ca4f6673\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d4be02b3-2423-4009-8d78-982e5821ba13\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Power Outage SMS", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Renewable Incentive Tracker", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Renewable Incentive Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Renewable Incentive Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f1933d66-47b0-47ae-97bd-9758c0fc67da\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"renewable_incentive_tracker\"\n },\n \"id\": \"d9b07644-9ed1-4ef6-a1a8-bef841c713df\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2e3b51db-80b1-423f-a678-77b92f51744d\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f3262437-ea70-44d2-91d2-82bb3f1317e9\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"renewable_incentive_tracker\"\n },\n \"id\": \"6be2eab5-54fb-4e38-941f-e62239677943\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"renewable_incentive_tracker\"\n },\n \"id\": \"43557f2e-e085-48ba-9bde-2af079657529\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"6f1095a2-b123-41af-b597-349dee988a2b\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"696d20f9-bb8f-4efe-830b-0d1eec4b47d6\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c16f6c5a-4cb2-4fdb-a5e8-539b517974af\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ddea133c-b2ff-4a7b-8483-b1b9c002bedf\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0085ea5e-4ea5-4f90-b541-3deaa4c2bb2e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Renewable Incentive Tracker", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Solar Output Forecaster", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Solar Output Forecaster\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Solar Output Forecaster\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"0cc41add-c576-4eb2-a577-ba341538b4aa\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"solar_output_forecaster\"\n },\n \"id\": \"7a6895ad-c973-4829-abb3-52764e18563e\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"4ab8e749-2da3-4702-aa03-92781f013c88\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2861dfd6-4500-4e90-b346-e67aefc38723\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"solar_output_forecaster\"\n },\n \"id\": \"bf0938ce-55ad-4563-b3ec-dbf0a747004f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"solar_output_forecaster\"\n },\n \"id\": \"b3bb38c2-2d38-4938-be90-9a9adfe1918a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"184775d4-7184-4c41-b8de-cc8c402c57c8\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac64a220-22bf-4f5e-a59b-20b19efb0869\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"287861be-36e0-4424-9971-44020897bd2e\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ea57fd07-1636-4dc0-835e-904f6952caad\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3d0a2489-f2f0-4787-8548-4f040a5836c6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Solar Output Forecaster", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Wind Farm Maintenance Scheduler\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Wind Farm Maintenance Scheduler\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"9c8f8a11-cc71-43f1-a71b-db88184ff09c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"wind_farm_maintenance_scheduler\"\n },\n \"id\": \"e2a690b3-9bf8-4e9c-82aa-ee390f53f58d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9c9b29ed-2898-4035-b7e1-51e6772de2a3\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"1820f73b-76d4-4597-9ee9-7188a2c45ce7\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"wind_farm_maintenance_scheduler\"\n },\n \"id\": \"579a5cc0-4687-4d99-b379-9fd6085db105\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"wind_farm_maintenance_scheduler\"\n },\n \"id\": \"1100222d-8cb0-402a-a726-b6a77b6bdbd8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"d256077f-23e0-4b0a-a15d-c37b724380e4\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"59b38520-1e17-48a4-8a07-d829d76594ef\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"78e9d735-34a8-4562-9173-75df6f9d105d\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"db27c3e8-2164-4105-8900-03356d4bada3\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d8018a30-fafb-4134-9c5f-fa3dcbe84fab\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Wind Farm Maintenance Scheduler", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Currency Rate Monitor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Currency Rate Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Currency Rate Monitor\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e6175cfd-e193-423d-9bbd-fc7119684f7a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"currency-rate-monitor\"\n },\n \"id\": \"80b80c82-20c3-4174-ad9c-611f3261b0e5\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7fd033de-1f84-44c7-b067-c3d3e9b08b72\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"1fa4d8fe-1214-4fa9-8534-7c0f0d5d8531\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"currency_rate_monitor\"\n },\n \"id\": \"42ee78dd-c790-4e3c-8732-4e2395b1a9b6\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"currency_rate_monitor\"\n },\n \"id\": \"0d13f988-4d82-440d-ac56-bb8e225d9be1\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"7c645977-36de-4c85-9615-b76a72dd9882\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"521025ae-08c9-48f9-b3ea-8eed7859c340\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"bf695dd1-f69c-4be6-a2d7-27951a948b1c\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Currency Rate Monitor\"\n }\n },\n \"id\": \"c83a7b48-e374-4d2f-832e-3929bab00308\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Currency Rate Monitor\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"931647ba-372d-46b7-810f-76ba4087c0b5\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Currency Rate Monitor error: {$json.error.message}\"\n },\n \"id\": \"59e59fd4-268f-4c56-a034-b1a32e5f4115\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Currency Rate Monitor", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Monthly Expense Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Monthly Expense Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8728dad1-36d7-4ed0-8162-7622f31b4bc1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"monthly-expense-report\"\n },\n \"id\": \"7f107229-acbb-4195-a5cd-b0f97bedc954\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a7b02852-85a2-4048-bf05-64106a5aa1b3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f8683870-d2ea-4541-a98e-994f04327170\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"monthly_expense_report\"\n },\n \"id\": \"1eec63a3-ddfd-45d0-be4d-6533cf8e3dea\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"monthly_expense_report\"\n },\n \"id\": \"8073feb4-b770-45b8-84e1-76c37e332e1f\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d68e93b2-d64e-42d5-9782-364c5e43e148\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"925a8cad-26c0-435f-9e94-6a037380f9f2\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ad4dfd87-e12a-43d0-959f-31df79dbc0f0\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Monthly Expense Report\"\n }\n },\n \"id\": \"a9f139f6-be27-4aec-9ca3-51ff754c9036\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Monthly Expense Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"12ca3491-606a-4229-b392-705431a87aff\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Monthly Expense Report error: {$json.error.message}\"\n },\n \"id\": \"3af6e41f-e4c2-4bd3-92ae-4c8a7b27e495\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Monthly Expense Report", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Ocr Receipts To Notion?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"OCR Receipts to Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for OCR Receipts to Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"c04dfa5c-bb11-4b59-afff-6186fc96a740\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ocr-receipts-to-notion\"\n },\n \"id\": \"59a9fd15-53ab-4c11-ac79-d2a41441cf2f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"17092410-c43e-411d-9c9f-26e049276ae0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"60598051-e62a-4be1-8868-f5c19ea8978e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"ocr_receipts_to_notion\"\n },\n \"id\": \"4645c3ee-90cb-4320-86f3-d7c3f712a036\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ocr_receipts_to_notion\"\n },\n \"id\": \"6387ad1d-32fb-4575-9dfc-dfc90d2cb25c\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fef3c58b-321a-44d2-a9ba-86a7bc58acf7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7bdab29d-ad62-4e40-87e7-fd13cd2cec3e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"30f1d449-b35d-45a9-80c2-ba136b48a93e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for OCR Receipts to Notion\"\n }\n },\n \"id\": \"d5adb725-61aa-4ecd-83ed-ada1ab0f9669\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"OCR Receipts to Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"696adffa-2c85-461d-876a-dd880b9b38e3\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"OCR Receipts to Notion error: {$json.error.message}\"\n },\n \"id\": \"efc8ed2e-3e85-4bf4-b1e8-cab2a3e2135f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "OCR Receipts to Notion", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Show me an n8n workflow for paypal to airtable", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"PayPal to Airtable\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for PayPal to Airtable\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"4dc16bed-a5fc-41a8-879d-887e7cd668f2\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"paypal-to-airtable\"\n },\n \"id\": \"e98d9b01-45dc-42d5-96bb-f33ad31c2a4c\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9e156c78-d969-43b0-8c47-29be47d9e374\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"67173cd7-c563-4e20-894f-4a3bb2a3154d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"paypal_to_airtable\"\n },\n \"id\": \"3273daeb-1fef-4975-bf30-11fe790b7a93\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"paypal_to_airtable\"\n },\n \"id\": \"8319e3d9-ee3c-40d5-9afa-4718d3c475e3\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"16b3f51c-6036-4e62-a49b-d83ce62bc770\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f3e97b45-2c73-47a2-b969-37fe5cbce0e2\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"141626f4-bf31-4c63-ab83-bde6d05dc0eb\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for PayPal to Airtable\"\n }\n },\n \"id\": \"ae1ef58d-8ed5-4ffe-bfe4-804a2fd16095\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"PayPal to Airtable\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"c68be0fc-19fe-4e45-8c3d-3ce101e1634f\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"PayPal to Airtable error: {$json.error.message}\"\n },\n \"id\": \"3e058106-dd19-44a8-91a3-3aef71622480\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "PayPal to Airtable", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Stripe To Quickbooks", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Stripe to QuickBooks\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Stripe to QuickBooks\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"516d2d75-bad5-47a2-9aae-441c2e47505a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"stripe-to-quickbooks\"\n },\n \"id\": \"b336b0e9-75c9-476e-b708-eee49a79782a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"aff09b5e-ab9c-4906-876c-be1cbd49bad3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"28798bcc-42c3-405f-becd-dd9e2628fbec\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"stripe_to_quickbooks\"\n },\n \"id\": \"ebb44e83-73d5-48b0-9458-cbb4dd5db829\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"stripe_to_quickbooks\"\n },\n \"id\": \"dda295d6-3267-468b-b6c9-4e0dae2d3953\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fad24949-758c-4879-8fe1-2965b81c835c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"36927cf2-4dc9-42c0-b427-2893e5982a85\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"87360d8c-11b2-4293-9213-83525a4ffc48\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Stripe to QuickBooks\"\n }\n },\n \"id\": \"6a6e8043-e4ba-4b17-8815-5d14adc8f33b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Stripe to QuickBooks\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"b6300c02-0a43-4cc4-8079-7739e8b51a37\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Stripe to QuickBooks error: {$json.error.message}\"\n },\n \"id\": \"4f848ea4-b5cd-4594-b598-cfff98863583\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Stripe to QuickBooks", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Transaction Logs Backup", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Transaction Logs Backup\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Transaction Logs Backup\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9bc96e9b-a90d-4467-8844-c0d49825c7bb\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"transaction-logs-backup\"\n },\n \"id\": \"654ee7d9-bd77-47eb-af47-5afb9b1f3023\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fbb3ef99-38e6-4ee3-a317-71af8cb06801\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"cfb733fc-6bb8-427b-ad37-926693691ed8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"transaction_logs_backup\"\n },\n \"id\": \"86365712-95aa-407f-b156-877d6ee5b412\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"transaction_logs_backup\"\n },\n \"id\": \"a1085404-bc57-46c0-9ffb-375a66ebfb92\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1442d4f0-eefb-4beb-862a-6569b22b7ef3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4d59d819-e2d1-4cfb-997a-04e6cc18b15c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"bc9f2e77-61d1-4fd1-9069-fc07906f004f\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Transaction Logs Backup\"\n }\n },\n \"id\": \"94397527-356c-43da-9827-265d1e38c4d4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Transaction Logs Backup\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"015110f6-d107-4061-9de1-4f7e77248256\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Transaction Logs Backup error: {$json.error.message}\"\n },\n \"id\": \"22011e33-1522-40c5-b752-6e1a6b8f5372\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Transaction Logs Backup", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Unpaid Invoice Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Unpaid Invoice Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"38637b48-7d7d-4c0d-ae2d-7cb9049435f0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"unpaid-invoice-reminder\"\n },\n \"id\": \"c105161c-2c3f-4167-859c-63a03f8e2dfc\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2089eb99-b5f6-4c05-aff4-d9542c42657f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"c5937246-c89c-4972-965d-4e8896b02679\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"unpaid_invoice_reminder\"\n },\n \"id\": \"d64450ce-5760-4160-9074-580eb285342c\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"unpaid_invoice_reminder\"\n },\n \"id\": \"0c5c8d79-8348-41d6-bf34-45ea812fa19e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6c05df42-540f-410e-a3ac-938d6babf6b6\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"238d800d-1c62-4d7b-bf8e-a58985c7365a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5461d55e-4235-45fd-b392-7abdfa189fac\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Unpaid Invoice Reminder\"\n }\n },\n \"id\": \"86a7198b-5a78-4801-9e4e-70d8a69856fe\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Unpaid Invoice Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"dc0da3ae-a80c-4d70-afbc-d48094d6a80c\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Unpaid Invoice Reminder error: {$json.error.message}\"\n },\n \"id\": \"00c44887-0061-4fc1-afe3-21a150cb4c04\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Unpaid Invoice Reminder", "node_count": 12, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to weekly shopify sales summary", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weekly Shopify Sales Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Weekly Shopify Sales Summary\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"48cbb971-b7f5-439b-9ff7-51e48fe8cd99\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weekly-shopify-sales-summary\"\n },\n \"id\": \"986a4dbf-6fd1-468e-9404-891be5d7e982\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fe85f7f9-ec98-496c-9623-73934248c4dd\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"91db179a-59d3-4335-a3f8-5a1767283536\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"weekly_shopify_sales_summary\",\n \"mode\": \"list\",\n \"cachedResultName\": \"weekly_shopify_sales_summary\"\n }\n },\n \"id\": \"12e2e6d8-9882-4e5e-958d-1a5263f3d498\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"weekly_shopify_sales_summary\",\n \"mode\": \"list\",\n \"cachedResultName\": \"weekly_shopify_sales_summary\"\n }\n },\n \"id\": \"86e1304a-cb0e-42ae-a608-576468de3977\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1b99ec18-874c-4238-947b-4208a7187782\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f57ed2d1-31f6-48e0-9d49-a34d828a2b21\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"8bd35d96-4b86-4db9-8df1-3e1234a598b6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Weekly Shopify Sales Summary\"\n }\n },\n \"id\": \"339b9829-f9ab-4521-a6f7-d57972f5960d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Weekly Shopify Sales Summary\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"913c3b44-b464-492a-9214-d9dc1952c96b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Weekly Shopify Sales Summary error: {$json.error.message}\"\n },\n \"id\": \"7e04b6aa-2c81-4491-8383-48f48f5e47d5\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weekly Shopify Sales Summary", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Achievement Suggestion Engine\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Achievement Suggestion Engine\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c96103d4-51c2-42f4-82d5-d0bd2af062d8\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"achievement_suggestion_engine\"\n },\n \"id\": \"1175ffe4-4776-423f-8eb2-5dce08a0445c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"95aeda47-eb80-4bfd-99c0-6cd0d83a715c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"d9d3258d-5d35-4923-b611-d8086ab232cc\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"achievement_suggestion_engine\"\n },\n \"id\": \"55111748-5efb-46db-908a-fd7914cbf036\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"achievement_suggestion_engine\"\n },\n \"id\": \"d9ff7e38-2a25-4e64-871a-a94d58371171\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"7a6f5172-4f12-4b00-8baf-9820c9ad87d6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"17ab029f-1a33-4086-86c0-c6ff909b8252\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4c89e15d-45a4-4b94-8a63-051d26949d9a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"5e68d55b-ba2f-4f99-985c-7684dad69661\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"448f14b3-ed84-46a3-b79e-c7ffea9d6e5a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Achievement Suggestion Engine", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Discord Guild Welcome Bot\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Discord Guild Welcome Bot\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ec3eca3b-c927-44af-b076-ae454a5f9dba\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"discord_guild_welcome_bot\"\n },\n \"id\": \"75348d7e-59f5-42ae-aec5-5a993247cce9\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8f3d6c06-6b07-4e1f-b6c1-881c2201c307\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"9b97ff7a-ad0c-4783-a805-5306ac065a18\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"discord_guild_welcome_bot\"\n },\n \"id\": \"90aebcf2-d80e-4dda-8ff1-c9cb21daef88\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"discord_guild_welcome_bot\"\n },\n \"id\": \"98d03e4f-c7a7-4fbc-a740-f0f96511ad26\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"98d3ad26-70f6-4ba9-bbd6-ec4c429fdbac\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"07ee96a3-d9fc-4a9a-84b5-967dd9dce86b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"63bd3f99-bedd-4c2a-a372-e3a3dfdf13f7\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2182a66a-8f6b-4ab5-a204-b1d2a193b540\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"bdc65bf0-04e8-454f-af89-365318979a0b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Discord Guild Welcome Bot", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Esports Match Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Esports Match Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6310f924-d4ae-4b99-9961-f746e39e8504\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"esports_match_alert\"\n },\n \"id\": \"a36399b2-06a4-4892-96e7-54897ce51bf7\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2ee4b993-b61c-42f3-8c07-f065c7f30e47\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"31e6d7bc-5a8f-4407-93e6-acd9fe557142\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"esports_match_alert\"\n },\n \"id\": \"1cfe2b7f-5a8d-40b3-adf0-07f5ee9fed7f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"esports_match_alert\"\n },\n \"id\": \"165da07b-3bdc-4729-ba0c-6ff306dcb546\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"4472053c-dea5-4f7c-94b4-3dc37a225ece\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"311218df-9cc4-4a9d-97f0-4ac4ea56911b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c1c80c23-a023-486a-b8d2-ba5b40d44531\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"90e08579-d2df-41d9-a31b-8090a1faa28d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0c24574c-9152-451d-860e-341111854174\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Esports Match Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for game bug triage", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Game Bug Triage\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Game Bug Triage\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"612f743e-c25d-4e98-8ff9-d47509fa3160\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"game_bug_triage\"\n },\n \"id\": \"6b59ea05-a9eb-4f44-86ac-fad9a5d06c03\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3d9bb844-8044-487e-aa18-b0906bdd60da\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b5e08fe3-3fed-461a-a1ae-790b5102ec4a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"game_bug_triage\"\n },\n \"id\": \"68f45664-544b-442f-90fb-019764004836\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"game_bug_triage\"\n },\n \"id\": \"423e4cc0-9a68-4c54-9843-2b766ae74d7f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"ac7b2168-9854-4a03-a22d-79373953fa91\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b4c2838f-d6bb-482a-a1ce-c56f9a245616\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b074d534-0ec7-4de0-b893-cee3b0d2d107\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6bccf3c4-b931-40b5-bcd5-123cde3f75a8\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"fdbe4ecc-f6c7-4231-b322-540dd189927c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Game Bug Triage", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"In‑Game Event Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## In‑Game Event Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"05e37943-784c-4ddc-8262-b11b4468bc02\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"in‑game_event_reminder\"\n },\n \"id\": \"cf9be310-57eb-46d2-907b-4cae771a3615\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3f688c0b-aef9-4ba0-ba98-91440c225d7a\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"7fe4aa59-daf3-4ef5-87b8-3ecf0567eb3f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"in‑game_event_reminder\"\n },\n \"id\": \"ea24c452-2bc9-473d-a463-11bf4132d687\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"in‑game_event_reminder\"\n },\n \"id\": \"63554c27-4c70-4de1-b59d-4521cc425dd3\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"9677d2a5-4086-4bb5-b36e-97679a403867\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9fc4da5a-e1ef-4ca3-af95-0d0e8abb55a9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0c8df9a6-0646-40c1-9e18-1987dd78dcd6\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"bec14d78-ad61-4970-9843-27481b10540f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"274ee856-100b-46e4-bd83-2fff3cb5f31b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "In‑Game Event Reminder", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Loot‑box Probability Calculator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Loot‑box Probability Calculator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"10177083-abfd-4dfb-af1b-2106fb3721ef\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"loot‑box_probability_calculator\"\n },\n \"id\": \"d1ecc7b8-8cfd-4f23-9a74-a1f5d1775909\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"23945b52-8d5d-43ff-9183-6512a3936b76\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"08cf7a60-f6a0-4714-93dc-be3a16055184\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"loot‑box_probability_calculator\"\n },\n \"id\": \"4e39cad5-f719-4bdb-9a99-8263eedbc50b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"loot‑box_probability_calculator\"\n },\n \"id\": \"251b65f4-aca9-4211-86b6-0095359a9b62\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"fed3a403-e464-4464-ac3a-d49443483a32\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"08d85102-f42e-4b58-8735-d380d3d2892b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"664762ed-3246-452e-ab65-7e02266e8015\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"e2e2ae6a-e151-4eae-8539-8c3692cdd6e2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f5088167-5c6c-4c3b-9797-8eedcae0b487\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Loot‑box Probability Calculator", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Patch Note Summarizer?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Patch Note Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Patch Note Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c27cc49e-4006-42ec-a921-ab82af3e62c3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"patch_note_summarizer\"\n },\n \"id\": \"cf75146f-eea9-4d9a-b35e-cfb8c9174f7a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"87336512-bbfe-45e5-a621-ce1abf7d8dec\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"308d899c-0dfa-4536-8521-71a5e9e0f41e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"patch_note_summarizer\"\n },\n \"id\": \"2d180980-fb6c-4f7a-b8a8-8c7119778073\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"patch_note_summarizer\"\n },\n \"id\": \"13a5f3e5-f066-4e4e-a80f-f76980d6c31e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"9d435a7e-1141-48ff-ad18-ce9003c95523\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"23f27a06-bfff-4638-860e-9de0f7fef563\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8de2d6aa-9202-4396-b07c-66eadaf57214\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"2b88cbe9-c0ce-4a18-b3fc-4732ae63317b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"4297adae-ff27-4e7f-8acb-1db68dd6dd3d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Patch Note Summarizer", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Player Sentiment Dashboard?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Player Sentiment Dashboard\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Player Sentiment Dashboard\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"08d2f64f-2d62-4cc5-8e58-1a3df6e0bec5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"player_sentiment_dashboard\"\n },\n \"id\": \"7660675d-b017-4664-8e77-8f484ebb79d3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"259f1438-ba36-415d-aecd-2c29e5bcc7f9\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"387e2d11-4a5c-4746-ab16-1f02f259dc50\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"player_sentiment_dashboard\"\n },\n \"id\": \"77c8793c-3bb1-4b1a-a97c-78b09dd40404\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"player_sentiment_dashboard\"\n },\n \"id\": \"f30b5682-283f-4965-a015-9c59b2c57244\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"bbf150df-d5c6-4718-87f3-d3cef4de523d\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"77313ee4-2a1a-4753-aec1-c695b26d8cba\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5cfc5070-7792-443c-b379-f9340b52ca82\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"092416ca-4b94-4e1a-aba1-1207ad738cc0\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"e2c744d7-2804-4ccb-9da4-a18363c03ea2\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Player Sentiment Dashboard", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere to twitch clip highlights script", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Twitch Clip Highlights Script\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Twitch Clip Highlights Script\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6a478cad-2f39-49c5-9830-d6715c75294c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"twitch_clip_highlights_script\"\n },\n \"id\": \"0e483bae-054d-47ac-aa7f-65323632eee0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ecfc0bb9-ea39-4bba-9042-a81b03de6e4c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"81b98f96-46ba-4ba9-81ff-105ab8ecef5a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"twitch_clip_highlights_script\"\n },\n \"id\": \"b3eb249c-5439-4c43-ae38-5ffe74d2d516\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"twitch_clip_highlights_script\"\n },\n \"id\": \"24aec2d4-deec-4c2e-a5c6-b6710093d81f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"b2ab6e7c-fe8c-4aa6-b0ed-8f97a868ee5a\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1203c718-aadc-409f-aa2c-157fd8e87786\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0f4e595a-d49a-4b27-afd7-c7e66a4fd6cb\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"36fd7800-f2f5-4ccc-8883-6ed4314b4ea2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d154a778-2ebe-4958-aa3b-15fd0e7be287\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Twitch Clip Highlights Script", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Virtual Economy Price Tracker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Virtual Economy Price Tracker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"03c385a9-f85e-46f2-99c5-edfc3ebe5f64\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"virtual_economy_price_tracker\"\n },\n \"id\": \"b9d11a12-4c0d-471a-91d4-a857fe118639\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8b967de5-7ccc-4e8e-aae8-84fa426bf639\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"7591fec5-1472-408c-b2e0-6d285c1f3a9b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"virtual_economy_price_tracker\"\n },\n \"id\": \"a0114631-6544-450d-8ca6-acaa2d57885e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"virtual_economy_price_tracker\"\n },\n \"id\": \"48427b20-35b3-446b-9907-eda2b6c54e43\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"8b4c4bf6-bce5-431f-869d-bf630b48e781\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ce17efe7-6ef0-4070-a0d8-ded8fb62c3ef\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"38f20990-6c11-40ab-b9a1-c7d2910220c9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"fee37507-5a90-4d39-aa6a-fdb3aef13837\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"399e3dcd-6632-4763-b023-3847ce6239a9\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Virtual Economy Price Tracker", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Public Form Auto Triage\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Public Form Auto Triage\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e0def9b7-b982-4f66-a122-b34b179250f3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"public-form-auto-triage\"\n },\n \"id\": \"a0436c8f-07eb-4c7c-91cf-f9888c44193e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"17992f44-ab0a-49d6-9af3-6a7902095bcc\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"8cf651f3-f660-41e0-9ae9-abe5e283e1be\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"public_form_auto_triage\"\n },\n \"id\": \"c1637ef3-6857-4a30-9e39-ca400c2519a8\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"public_form_auto_triage\"\n },\n \"id\": \"495ee105-e54c-4540-b696-04c163d09829\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"247453d7-9638-4db4-987d-0d1ce438494c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ac140caa-fa42-4aaf-aa9e-2115ad365eef\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"eba04ff8-c343-4e2c-b1c9-2223884dbd38\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Public Form Auto Triage':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Public Form Auto Triage\"\n }\n },\n \"id\": \"95e729d9-2c88-4bee-bc5c-cbdb6fac41b8\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Public Form Auto Triage\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5d3ce3ed-4222-464c-a3f3-d6681a5db5c2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Public Form Auto Triage error: {$json.error.message}\"\n },\n \"id\": \"41fcce2f-8ed2-48b1-92bd-ff2f9d38e337\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Public Form Auto Triage", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Public Record Email Update\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Public Record Email Update\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"65bf7968-6074-4fd8-997a-c656568960c0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"public-record-email-update\"\n },\n \"id\": \"904357c4-6656-445d-88a8-1d6080ea17eb\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"cac96f44-3e7d-4066-9faa-edce57b3005d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"13cb39cf-a65a-44b7-baff-bb6b0635e185\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"public_record_email_update\",\n \"mode\": \"list\",\n \"cachedResultName\": \"public_record_email_update\"\n }\n },\n \"id\": \"85f4bc98-c83e-4769-ab45-60b673f4dbc1\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"public_record_email_update\",\n \"mode\": \"list\",\n \"cachedResultName\": \"public_record_email_update\"\n }\n },\n \"id\": \"4ed05d0a-ef6e-420e-8389-891f87042bff\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1e527452-6ed5-4cec-a774-da238fba63c2\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"36a9bb22-5c37-4ca3-8297-02eef5bcc9f0\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"7cef2b87-47e1-4431-84a8-a79139267bc5\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Public Record Email Update':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Public Record Email Update\"\n }\n },\n \"id\": \"65e68b55-903c-4988-a9b5-27e41ca2ca0a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Public Record Email Update\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"a1d9802e-caaa-4b0d-b41e-d0139ad7b5aa\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Public Record Email Update error: {$json.error.message}\"\n },\n \"id\": \"7e69d511-d41d-4553-b2bc-8aaa4a3d1754\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Public Record Email Update", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"New Job Application Parser\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: New Job Application Parser\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"355dc5d9-e675-4948-ac07-e2372746beac\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"new-job-application-parser\"\n },\n \"id\": \"5a292fdb-55a6-4b6c-95cb-918e2f5592a1\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"53900c40-00b0-4e87-98cf-de274ce1fddc\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a3b1c492-f0ec-4275-a656-765170f336db\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"new_job_application_parser\",\n \"mode\": \"list\",\n \"cachedResultName\": \"new_job_application_parser\"\n }\n },\n \"id\": \"cfcd7174-0670-4521-a3d0-f166637355b9\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"new_job_application_parser\",\n \"mode\": \"list\",\n \"cachedResultName\": \"new_job_application_parser\"\n }\n },\n \"id\": \"2a452b2b-edca-4ab6-87a5-a9cb33ca4473\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"3f39c7db-4b74-452f-85c5-1221de07d7c8\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c3cf7b90-7202-47b1-a2e3-e1f2c74eaa33\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"3cd3b436-538e-470c-89e5-e8776258c498\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'New Job Application Parser':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for New Job Application Parser\"\n }\n },\n \"id\": \"a741b715-3e97-445a-8c1a-f5c8ce5cf2dd\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"New Job Application Parser\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"8d1a3c8a-520f-4e56-8120-7b54029bd828\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"New Job Application Parser error: {$json.error.message}\"\n },\n \"id\": \"1b63bca3-2e7f-450e-80ef-f5cf18df53f1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "New Job Application Parser", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Notion Job Board Poster", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Notion Job Board Poster\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Notion Job Board Poster\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9935d8e0-c8e8-47df-8d22-f18fed6cc35f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"notion-job-board-poster\"\n },\n \"id\": \"c7202964-f164-4e73-952f-e6cfb216df5a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"698758c3-6ec0-4a98-ab25-77ad28d1a86b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"00faf696-bcee-45d6-925c-5789d6f33d04\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"notion_job_board_poster\"\n },\n \"id\": \"c7d38489-d3fd-4f35-95e9-8fa1de802baf\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"notion_job_board_poster\"\n },\n \"id\": \"b3b46858-b322-4702-86f6-c6bfc0116a39\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c664c632-f102-413b-92da-8ad22e070251\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"88bf4c86-8a9d-4b78-8965-3aabe394cac3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"90778f34-c1c9-4506-b105-6463d7e170cd\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Notion Job Board Poster':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Notion Job Board Poster\"\n }\n },\n \"id\": \"d0df09be-eb92-4de4-a038-8c488ee4d1fa\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Notion Job Board Poster\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5eb58bc2-9cd5-4e71-a456-4a64541d3179\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Notion Job Board Poster error: {$json.error.message}\"\n },\n \"id\": \"f495a132-6e2f-4d8b-b978-1cb312b7934f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Notion Job Board Poster", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Appointment Whatsapp Notify", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Appointment WhatsApp Notify\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Appointment WhatsApp Notify\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7d42a8e4-d9e6-46c6-b4b2-c489c79c3bf3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"appointment-whatsapp-notify\"\n },\n \"id\": \"9f460db0-3b15-45a4-a04f-24ec690273d3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ea6552ef-ebcc-4c99-9348-78a9b4f2ad2b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"d919f86b-a52c-43ca-ac8c-b6dbf1ccbbcf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"appointment_whatsapp_notify\"\n },\n \"id\": \"74081a07-d962-455e-b685-11d29c9e67ad\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"appointment_whatsapp_notify\"\n },\n \"id\": \"7fda199c-926c-43ec-a604-972e82c7c0ef\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"069d2f87-d2ab-422e-ad9a-cb9d28562d17\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0920c840-2c14-436a-8fbd-d4a53300cc05\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"de83e37d-fe22-485d-8e38-8795be4284d9\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Appointment WhatsApp Notify':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Appointment WhatsApp Notify\"\n }\n },\n \"id\": \"1b33a7d5-ea1d-4e8d-9a8c-d70165f468cf\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Appointment WhatsApp Notify\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5cc56f79-87d1-4926-8548-9ee1e8a60ffb\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Appointment WhatsApp Notify error: {$json.error.message}\"\n },\n \"id\": \"25d22e2e-dc95-424a-b6e6-f5e9b5a889f9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Appointment WhatsApp Notify", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Ble Beacon Mapper", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"BLE Beacon Mapper\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## BLE Beacon Mapper\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3c047bdb-1988-40c3-9387-7f3cf850ecbf\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ble_beacon_mapper\"\n },\n \"id\": \"9521a2f4-988b-4356-a645-f74e96199d91\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c93b923e-630f-4794-86bc-c6a46dd75448\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"427efd54-920f-4c11-bcb6-e8fc8b2b06e8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ble_beacon_mapper\"\n },\n \"id\": \"72d8f04d-916a-4968-83ef-c59d3285235a\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ble_beacon_mapper\"\n },\n \"id\": \"ade1889a-c995-4adc-9729-80d02173f265\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"30a123d4-b21d-4078-8a9e-42cb0755f62f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"690e6a80-9e31-43ee-b9df-a64412709646\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8defd2b1-fc7d-4c45-a7ac-21535c4c9698\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3202946a-2f52-4bae-bc6a-c0039a966396\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b02fb6fe-bf01-46f4-a771-068e91eed04f\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "BLE Beacon Mapper", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Edge Device Log Compressor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Edge Device Log Compressor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"21a7ee40-e9a9-4f5d-a642-a4ca0bcd2173\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"edge_device_log_compressor\"\n },\n \"id\": \"71b01e81-30c5-41a2-ade1-17d6f5d801ac\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fb59524e-9794-4ce5-9344-48f41f93791f\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6bc51683-3627-43ba-b92d-80f431f18471\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"edge_device_log_compressor\"\n },\n \"id\": \"8c1ef0c2-1c1a-4dfb-a108-191146a74718\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"edge_device_log_compressor\"\n },\n \"id\": \"0ebd5f21-b97f-4f2e-aefc-8b5bbe80f2b9\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"1fd3ed50-a888-40db-a2f7-1e7f3969ed11\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dca087fe-c0c8-49d6-a6ba-cac29c1a705b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7b812666-e822-4f6e-9096-fe03376736a7\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"160f7edf-c21b-4e16-9ece-288aed8f04f1\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"77e495a4-073e-4594-b624-cedd0cf335e4\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Edge Device Log Compressor", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Environmental Data Dashboard", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Environmental Data Dashboard\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Environmental Data Dashboard\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3205b068-2be2-41b8-8c68-dd13763c1ae5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"environmental_data_dashboard\"\n },\n \"id\": \"bc0a6e3d-4271-4dae-90ea-dca965836eea\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"38e51c92-e2e2-44c6-a049-4ac92e5a66e7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"0077ebd2-9261-4d49-b438-55074c052c7e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"environmental_data_dashboard\"\n },\n \"id\": \"baa7b6a8-8fb1-414a-85a0-e3b37f4f6e61\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"environmental_data_dashboard\"\n },\n \"id\": \"5e3a8e25-d4ba-41d3-9395-274cba83266b\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"934c019d-96b9-49f0-b82d-40732f8c2929\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"57841262-7445-43ec-8250-b14bb6ff4f85\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6984dd15-9475-4307-a4dd-b105226a21c6\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b33b5784-70d6-4be6-beba-907780cc638a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8da77c27-26fb-41af-bf1d-fd90703ebe0c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Environmental Data Dashboard", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Industrial Iot Kpi Email?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Industrial IoT KPI Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Industrial IoT KPI Email\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"943b1bcf-e3db-4693-b7d6-fcd06a9b1ddc\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"industrial_iot_kpi_email\"\n },\n \"id\": \"ed65e9c1-189a-451a-a353-86ae9e6fa985\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3bb8b68e-b814-43fc-9236-f2e0615f43a1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"65454d4a-94d6-4cd5-8b7d-52424158e0e4\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"industrial_iot_kpi_email\"\n },\n \"id\": \"8a1213d2-7cce-42c4-9106-3e4838896c7b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"industrial_iot_kpi_email\"\n },\n \"id\": \"67f16894-cde9-4e15-96b2-4305dacb5184\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"96f6af1b-3417-44ee-a761-9b8ea00bed43\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"67cb649b-99d6-45f6-9278-7874202dbb04\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2d8679dc-3e72-4b30-a3e4-33a991dad6fa\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d1330858-7779-4352-b088-a8571b2556a4\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"dd69a3fa-4c57-4425-b609-1598a7583db9\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Industrial IoT KPI Email", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Iot Device Firmware Update Planner?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"IoT Device Firmware Update Planner\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## IoT Device Firmware Update Planner\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f55f7659-b41d-4789-9858-cd6d8d9651d5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"iot_device_firmware_update_planner\"\n },\n \"id\": \"c39e47c8-e198-41e9-a7f6-108e475c70a9\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1ecb126a-db25-4f0d-a8f6-fdf1004a6cc4\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"3b65e37b-20e8-4197-aa20-480c8e9fbef9\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"iot_device_firmware_update_planner\"\n },\n \"id\": \"a1b9893a-4cc1-42b4-b042-2695d3aeb538\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"iot_device_firmware_update_planner\"\n },\n \"id\": \"dfd60aa1-5c21-474d-89e0-79918ce5e7c8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"4378f4fb-739d-4a63-a6f5-6f7c14d38e56\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1585288e-aedd-48c1-bca4-5f34ae5b26d6\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2a969ef6-359e-428c-a6bc-3484cf659355\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4e224ecc-d3fc-4e5e-a233-a17f2ebd49e6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"e78fdda8-9964-47cf-a22d-a20cb2731cb6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "IoT Device Firmware Update Planner", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Mqtt Topic Monitor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"MQTT Topic Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## MQTT Topic Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"5491692b-63b3-463e-982f-ac8b2af8888a\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mqtt_topic_monitor\"\n },\n \"id\": \"67b89ca6-7381-4b63-be6a-a609764f40a8\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"642cab7e-89fd-484b-ba14-5a4955f68bad\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"20d6b7c2-8757-4487-88a2-9192c863320c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"mqtt_topic_monitor\"\n },\n \"id\": \"99a15bd4-8347-4415-9146-763365d9e53d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mqtt_topic_monitor\"\n },\n \"id\": \"dd310d8e-19b5-46af-8fa4-80e08ba16414\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"ba010ae7-0e63-4b06-970a-838d7dc3b833\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"99da297c-57c7-469e-8c1a-2ef1c8e77464\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e07b1578-30c7-41ca-9786-302b53b1da34\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d6ba7bb2-c36d-4087-a1a7-8557ce2cbd57\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a3b5ecb2-5cdd-495c-bd3f-f8fa00d5c15a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "MQTT Topic Monitor", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for predictive maintenance alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Predictive Maintenance Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Predictive Maintenance Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"2e0e493a-869a-4247-969b-201fc42e19cf\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"predictive_maintenance_alert\"\n },\n \"id\": \"f3fb69e8-a018-443e-9fc9-ab5f54df0198\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"975ab9e6-e924-4225-ad2f-ab71e063b744\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2f19b9f0-eea2-41d7-af0c-7d40898f7369\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"predictive_maintenance_alert\"\n },\n \"id\": \"d64985d8-e50e-4010-9511-534318b2fcb5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"predictive_maintenance_alert\"\n },\n \"id\": \"4bb2206e-2811-4ffd-a7d9-066dcab52bd0\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"fb950c91-9101-40dc-a975-e674cbd6d2f0\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b7435da7-5ef7-4c2a-a024-6e97d698da8b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"295cf4fb-3340-410b-879e-2bd1ef0a2233\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"0a77e315-a75c-460e-a902-33367c2983a7\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f6f6a1fe-b857-45e7-a9f7-b0d9e5edac61\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Predictive Maintenance Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Sensor Fault Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Sensor Fault Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"933fb344-a3db-465a-9180-9f742f470c01\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"sensor_fault_detector\"\n },\n \"id\": \"62b1f78f-c8ce-4766-9164-3895a7d31588\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ea4be8e1-da41-4042-b288-f27936963d59\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e733728d-8780-43d1-a2d3-fa2a6362617e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"sensor_fault_detector\"\n },\n \"id\": \"299528ab-7894-4d2b-9f1f-cb820e0f98eb\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"sensor_fault_detector\"\n },\n \"id\": \"cb7e2015-bcc4-4da4-80f2-f46b9b1b1775\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"b4a7d93d-22c8-4541-8af2-4ebc7b13c21d\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d48bc886-eab1-434f-9e2a-6f1355c5624e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b6b37d40-7254-4a81-aa96-379f5dcbe314\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d9dd3f66-e25b-49c4-b8e6-08bccdd8252a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"1270cb5c-4b3d-4c8c-b55e-dab01d2c13bf\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Sensor Fault Detector", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Smart Home Energy Saver\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Smart Home Energy Saver\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"45bd46ac-74e0-4bbb-8325-f773e0dfea25\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"smart_home_energy_saver\"\n },\n \"id\": \"87f961b3-05e1-4ee4-88a6-a144b2557efc\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"42425853-cd36-46a4-a210-d7e28e0e6eef\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2c71e763-3236-4d24-9c31-e2fc6e5a5418\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"smart_home_energy_saver\"\n },\n \"id\": \"1c3ee001-f218-4c0c-a5a5-ff2fae933778\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"smart_home_energy_saver\"\n },\n \"id\": \"b7d0bc10-6b09-4a7a-8d16-f092a116f2a1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"ef6500b2-66aa-4393-ad1a-fe20b5f34f00\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ce595de2-4059-4bd4-9b3f-1a225cbd453f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5cd95ffd-f322-4c3b-b799-e6a9a8012ef1\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b2e6ba7e-a99e-41d5-9471-b70f36c8080e\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b7acd595-f3a0-46d7-ab7c-a9d18072e2cf\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Smart Home Energy Saver", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for vehicle telematics analyzer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Vehicle Telematics Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Vehicle Telematics Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3a428bea-5b5d-418d-aea3-6702e195eaff\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"vehicle_telematics_analyzer\"\n },\n \"id\": \"cc171ef1-366e-450c-b8c0-1f4be0cc100c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"236b9d8a-fd92-4525-b6e3-89eceaee9826\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"49a5217e-b9dd-4c9d-a05e-e117cbc2f4a3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"vehicle_telematics_analyzer\"\n },\n \"id\": \"af19e123-7ee5-4628-88da-affa9ea417c9\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"vehicle_telematics_analyzer\"\n },\n \"id\": \"d8b469f0-7927-4406-a3d7-c2695db16244\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"22c4c0d5-c147-4c3d-82db-7d48d8238bb1\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5cd9b107-b5dc-4429-8fed-ef0dbeecd22d\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"17e82f20-81ce-4a16-826f-3021958e3c5b\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b2493e79-03b0-446b-a21d-f6e80acfe401\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b0e6955f-7d88-44f3-adae-41b5920328f0\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Vehicle Telematics Analyzer", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for case law summarizer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Case Law Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Case Law Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"006b4ac8-2240-4377-8187-c75ea40decd4\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"case_law_summarizer\"\n },\n \"id\": \"227c2cd5-dac0-4605-ad24-ece826a73ecd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0a8ac20a-08b4-42d4-b262-d5ff3c038f00\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"63a3c905-3d2c-4abe-bf0f-495545792f87\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"case_law_summarizer\"\n },\n \"id\": \"892173fb-f931-44d9-9e1e-134c71ec790e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"case_law_summarizer\"\n },\n \"id\": \"4f1f0bf3-db65-4714-9f4a-da40a9e379dc\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"d5912b1d-60d5-4b91-851a-915fb49b1ae9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b7fd299a-99b0-4ae0-bda0-fc77583f869e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"16c7cd0f-ad11-4869-940e-13d321d445b5\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"e5198aee-0eeb-40dc-9b5b-113a423049dc\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"fc62655e-9611-4eba-a44e-63f56903c218\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Case Law Summarizer", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Compliance Checklist Builder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Compliance Checklist Builder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ab247f10-1d2f-4ac7-9f3c-f35aa6a45322\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"compliance_checklist_builder\"\n },\n \"id\": \"7ef9aaea-8153-4413-a674-f681a326ffb1\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"4ff381cb-094c-42ce-82a3-8f611f2968d5\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"61a3b700-34fc-48d7-a048-98a0c35a4a62\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"compliance_checklist_builder\"\n },\n \"id\": \"2b5fa4fa-460b-4adf-8f51-43d891442d08\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"compliance_checklist_builder\"\n },\n \"id\": \"37fe1e14-70a0-48a0-ba7c-eb3187ecd42a\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"e5e90acd-e873-4d68-b864-8854563e2d25\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"43595b29-5265-416c-9c15-c2e3d411dbea\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"89461d4a-bd10-4f14-97f4-182053640dee\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"a14a872e-78ef-43f2-afd1-cad697bf4b53\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"4719e718-aaba-4e5a-9592-e6e3d702af12\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Compliance Checklist Builder", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Contract Clause Extractor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Contract Clause Extractor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Contract Clause Extractor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"1bda7454-93fe-405b-a456-4586cfb756ed\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"contract_clause_extractor\"\n },\n \"id\": \"566f27e4-26bb-466c-9503-4fadf291f227\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f1c5db12-a8f8-4d23-b50e-8e4b31142ece\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"78647328-096a-40e6-875d-764a277977a8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"contract_clause_extractor\"\n },\n \"id\": \"3fb26948-57ed-496b-91e3-c65592ea2fd6\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"contract_clause_extractor\"\n },\n \"id\": \"828831c5-57b6-4c94-8eb0-4086a2c07f90\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"34820e0b-bb70-4098-9ed0-36ae1a8ac092\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4032a3d8-27c9-44a4-a0c2-a4be30e15375\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8533ad0d-28c1-4549-8347-243f4dc1f4e2\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"8326aa20-f9e9-4ac2-8a4e-618d54a8d415\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"96b4b7cd-7fb8-459b-acd4-55f0ebf6a431\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Contract Clause Extractor", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Court Date Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Court Date Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"75f8bba3-cdac-49f4-958c-091e3f00eff1\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"court_date_reminder\"\n },\n \"id\": \"800a0793-5176-474b-9409-46e9ed2335fd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d523e39f-0587-4194-bcbe-73d7fb8c4710\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e223a14f-cfa8-4596-a461-643f82d535a0\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"court_date_reminder\"\n },\n \"id\": \"0eb906db-e355-47b9-a187-23abd759ec4f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"court_date_reminder\"\n },\n \"id\": \"5790086f-eb04-4057-a244-673d5c82b0b1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"59f47e52-aa3b-4fb2-aeeb-fad955199e01\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a447e312-fdfb-4dba-ad30-1c769b7bb5f9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0a4d9093-4b14-4d71-b2ef-4c77ede6ba67\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"36483213-c958-44c1-bbe8-c6ff0190cdea\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3ca8afea-ed24-4c79-ab93-2a66559c5c73\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Court Date Reminder", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Gdpr Violation Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"GDPR Violation Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## GDPR Violation Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"13db2523-d8a9-418a-8fb6-39eb8f9a938c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"gdpr_violation_alert\"\n },\n \"id\": \"700b2651-7de4-44d3-8edd-1ba1715d75d0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"162820ba-9f6b-44fd-b643-702de3b24640\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"01048ba2-ede5-441f-8a1a-5ab9b671c55f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"gdpr_violation_alert\"\n },\n \"id\": \"f2328451-15d8-4966-8e9f-e24b3c94281f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"gdpr_violation_alert\"\n },\n \"id\": \"09b39daa-8057-4fc5-8b76-217e606d2821\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"6cf4aad3-8e0c-4198-8770-94ac862b4a63\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c27394be-9f34-4a0d-84c0-e1b1b3391dfe\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"53ea4a74-a3ad-422a-9e1b-8318187645b4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3e48de94-a0c7-46e0-834c-d4b1db1bbb10\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2b80ceef-994a-48fc-af35-9cf75d38d5d1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "GDPR Violation Alert", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Legal Billing Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Legal Billing Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"164bdbf2-41c3-45eb-bfd1-e9883575056e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"legal_billing_analyzer\"\n },\n \"id\": \"b38e9cdd-f84d-4437-a795-a121d7068aa4\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"db367606-6d33-40f8-b444-abae8a3ca3b7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"20005f64-43e7-418c-b554-217fdc33f783\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"legal_billing_analyzer\"\n },\n \"id\": \"83ab1232-057a-4364-8701-61de2cadcfb8\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"legal_billing_analyzer\"\n },\n \"id\": \"c0ee51c0-13ff-44e1-91de-c8135ba8adf5\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"cdd3e489-ceff-4005-b0d4-0fae7cd7cd9c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d8954456-98d8-4689-9f12-d0f106406d93\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d60d4651-1d00-44cd-ac40-70097cb4dcf9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"243ea0c7-fbab-4686-8610-7c20d1be90d9\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b52301e6-4650-4333-a9fd-d73d845f494c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Legal Billing Analyzer", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"NDA Risk Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## NDA Risk Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"623f0f39-6ae9-4fbe-8d0d-b3436dc257e3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"nda_risk_detector\"\n },\n \"id\": \"e49461a4-0769-4188-9b92-fe21b42df652\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"75634d4b-5829-40eb-b94f-39a3cec62398\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"505940aa-8b4b-4480-9cb8-827413127240\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"nda_risk_detector\"\n },\n \"id\": \"f587ee36-1078-43d2-bcc4-8b5cf712ec14\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"nda_risk_detector\"\n },\n \"id\": \"bcd0263d-70e7-4448-a03b-5dbf2219334e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"1e08d4d4-07eb-49c4-ac96-9a218e63e8ea\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5d54e2b7-2cac-4be6-8f88-0eef2bc8981e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"61ac3b74-d520-4777-a88c-0e5bea059266\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d0996ab0-d491-47b1-87b5-9746bd8177e6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"e32daeb2-39e5-4b1b-bf51-f8995831e076\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "NDA Risk Detector", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Patent Abstract Summarizer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Patent Abstract Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Patent Abstract Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c46b424b-d86e-4c42-a5a7-3655c7402881\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"patent_abstract_summarizer\"\n },\n \"id\": \"c3f0c87c-f25d-48ba-97b0-c8f8d23d4a31\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"eb7d7959-2c75-4bca-aab6-744235f38650\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"978d6786-ee2b-453f-8da7-49ead3bc09b5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"patent_abstract_summarizer\"\n },\n \"id\": \"b81e39e9-dacc-42d8-81ee-aa51b860be8f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"patent_abstract_summarizer\"\n },\n \"id\": \"63f9c0ae-b4d2-4d73-a80a-7585608eec23\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"a2dd0f08-fa8f-4188-96fb-531000f5e12f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3815af2a-00a6-4f4a-9736-933be6e8da1c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5a852eb7-f25a-454c-8599-8bd711420cc2\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"dcfd6e97-44c3-41af-ada9-effc257a4547\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"607bbfe5-07e3-4ba7-a726-c8115e464868\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Patent Abstract Summarizer", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for privacy policy generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Privacy Policy Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Privacy Policy Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"31e645b0-8ee3-40e8-a573-1040118a5143\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"privacy_policy_generator\"\n },\n \"id\": \"3e941cdf-4a90-4efa-af28-ec642a8f8a87\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"81a454cd-5ab3-401e-a2b7-cead2a15a4bb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b71432b3-21ba-4306-8001-a31e0af001c7\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"privacy_policy_generator\"\n },\n \"id\": \"777057ee-9417-482e-99a0-2a776c2f7d8c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"privacy_policy_generator\"\n },\n \"id\": \"8a41fc40-5104-4dc9-8135-e5df98abc240\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"6a80f6a1-9344-4f08-8f21-b3840154a068\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9c06dcd4-2ae2-4a35-8d5c-c97bcd5fee44\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"40b92744-a890-48d4-bc8d-812a3307b0b9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"5057fff9-4817-4b2c-81ce-6fa38eb239e5\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"fc4d57c7-5ed2-45ac-85c6-a3ef52307eb6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Privacy Policy Generator", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Trademark Status Monitor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Trademark Status Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Trademark Status Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"998e7582-8d6b-490b-bc4e-d54e4a9c41f5\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"trademark_status_monitor\"\n },\n \"id\": \"864d897b-1356-48d5-88d5-5b92c9665383\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"27b13a4c-dcfc-4994-a7bd-7855d79122df\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b7b766a7-90f0-4bd7-8d72-8b9e1c16cefd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"trademark_status_monitor\"\n },\n \"id\": \"83fd04e1-05d8-4af0-a3e7-37c317475f44\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"trademark_status_monitor\"\n },\n \"id\": \"3a5c2851-baa5-4f08-a9c6-8c2a4f991fb0\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"1695a6cf-a47c-40cb-ab04-3900b9178759\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"98484ada-e60c-4ce9-806f-18033f24a073\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4a6adf35-41a8-4aa1-b2cc-9e4bec883092\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"355afdb1-5e4f-4a38-a554-ae2196d3336e\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"833c5c4d-7e71-4721-b9a3-2e9cef344d79\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Trademark Status Monitor", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Inventory Restock Forecast", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Inventory Restock Forecast\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Inventory Restock Forecast\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ac566dcd-c0d2-4372-8051-781b370f674c\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"inventory_restock_forecast\"\n },\n \"id\": \"2d43525f-7454-4ce8-859e-e7bed92c5fc0\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"cef71770-0f4a-4828-ab22-2aaa40c05ea1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"3889670e-02f8-4036-b112-8823a85ca32e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"inventory_restock_forecast\"\n },\n \"id\": \"3020d48f-fc21-4a54-aeeb-d6eb2b085e3c\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"inventory_restock_forecast\"\n },\n \"id\": \"8a167018-3252-4f18-bf8a-5aa804b5130e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"787db856-58e5-45ff-ac8c-cebcf7dc3956\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"835aac59-6306-41bd-a4bc-dd876821753f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"671822b0-56cf-4372-8fc9-90358b8828c4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"e838e95b-8049-49a9-8e2a-1ebcb049e620\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c4790e4b-9655-4763-8b3d-8de11e39d567\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Inventory Restock Forecast", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to machine downtime predictor", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Machine Downtime Predictor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Machine Downtime Predictor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"7f896bbc-9cf1-42d1-ba8f-61405b20a4a4\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"machine_downtime_predictor\"\n },\n \"id\": \"ffc4bbb9-85fe-4960-8fa3-53a88cafde52\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ad450e26-791c-4d9a-89c5-ad5661c3a9b5\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c4062ad2-7672-47c9-948a-25f89de261c1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"machine_downtime_predictor\"\n },\n \"id\": \"dec7b9a5-bd2b-43e7-8a18-1f2ec7d1d3e0\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"machine_downtime_predictor\"\n },\n \"id\": \"fdeb45dc-c7f0-44f2-bfb5-52718a9abf83\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"1ff47a2a-8135-4328-9142-d2693f9a5a87\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"43b53e28-45ff-488c-9b44-dd8abdb2e76f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"24047441-486e-4d22-b380-70e80a8f6e0b\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"67fd1430-77da-4792-88ef-91f28201c0f0\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"924da3ec-fbe7-49a9-8494-154c2cd0dd67\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Machine Downtime Predictor", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for maintenance ticket router", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Maintenance Ticket Router\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Maintenance Ticket Router\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"a8e9ae12-6e04-419e-afa6-116c1a10d76f\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"maintenance_ticket_router\"\n },\n \"id\": \"7ea5312f-5044-49e0-b612-b6ed0112460c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"71c6f636-5ba2-4544-b453-d9640912a9bd\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"709a1603-39fa-48f3-a08f-73c1a9bf1526\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"maintenance_ticket_router\"\n },\n \"id\": \"04f0955a-0e59-4ea7-92cf-b90a615336df\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"maintenance_ticket_router\"\n },\n \"id\": \"b7f91301-61e2-4fe8-8f77-dc2277a454ef\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"ce697dc0-acb9-4021-b7fc-d6139474aec9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c3963d5c-5d2a-406c-aec6-4945ee68e5ac\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7be46161-3cc9-46ac-b8d8-569822cdf806\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"9f436112-17d8-4b32-9386-ff8c05ca90fb\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2650eccc-cfb2-45a3-b6b7-947eea05ab73\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Maintenance Ticket Router", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Mes Log Analyzer", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"MES Log Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## MES Log Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6a578e19-1308-4a5c-b6f6-6ebd3710b6e3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mes_log_analyzer\"\n },\n \"id\": \"39d4b641-9f59-4642-832e-79022bf495c7\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e3946bf7-7e37-46ad-8866-b336d591139c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"257bb0cf-c4c3-4ec5-a8fc-cc7af8cc82d8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"mes_log_analyzer\"\n },\n \"id\": \"191047e8-a373-4f4d-89f5-d4befa1e1488\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mes_log_analyzer\"\n },\n \"id\": \"e5aceb69-fdc8-4ecb-bb40-9595579f44d1\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"69bf896b-cc84-4c27-ac84-53c42df7675c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2dfcbeaa-32cc-411f-9804-33dbdc2cc1ff\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"22d5fa52-e851-4158-8b68-0bc099c7b712\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4b278a48-c97b-4720-8248-7e16a59e8a97\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"59f09444-e08f-4545-b83a-6e3113298e1c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "MES Log Analyzer", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for packaging waste calculator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Packaging Waste Calculator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Packaging Waste Calculator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"88e3435d-f3fb-4c59-8d58-9b77e3be201a\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"packaging_waste_calculator\"\n },\n \"id\": \"0ad8c1ff-f8c3-4f5f-b478-520d16b80a52\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7b704aa1-fae7-47f3-a349-69816e88955b\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"4ea8a51d-11e1-468d-873b-49c1388dc62a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"packaging_waste_calculator\"\n },\n \"id\": \"c6262742-2db3-4867-a7b2-2da95e864ab6\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"packaging_waste_calculator\"\n },\n \"id\": \"4abcef2c-3080-43d4-b263-b851c675f519\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"6a8f2151-9319-4e77-b763-2c305e569d62\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0e86b5c8-3448-444e-997e-3daa84164744\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4b4b54de-3c2d-494d-a5bd-0f3a6f776526\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"deee5056-77f7-4e3a-919c-82f3ac955f90\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d474b14f-19f5-476c-b6a7-d3991067091f\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Packaging Waste Calculator", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for production kpi dashboard", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Production KPI Dashboard\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Production KPI Dashboard\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"4d9a4134-cfe0-4c29-98ea-3c7eac4e8f4a\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"production_kpi_dashboard\"\n },\n \"id\": \"7a5aee0a-9d7c-467f-a01a-da27537e21a2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"37a3414f-2139-49df-ba08-3a7044c793f7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"816bca35-5ac1-4d76-80c1-0f16c7b66bb6\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"production_kpi_dashboard\"\n },\n \"id\": \"a07fff59-42d4-46b7-9ad6-57816f0837ec\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"production_kpi_dashboard\"\n },\n \"id\": \"3e51ab47-497a-4ea4-8b87-a65904181599\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"0cec7a66-e61b-4c9e-baec-d38b1817c10f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3dc5cc76-b483-44b3-95e9-4eab8f02d843\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6dc6d399-7dbe-4131-9d46-052da979cc5c\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6d698856-e255-487c-b64d-ed9bfd21fe2b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"84a285d5-4bd6-46d2-9853-ce07ad7bdf07\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Production KPI Dashboard", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Quality Defect Classifier?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Quality Defect Classifier\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Quality Defect Classifier\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"4a9d63c7-08b0-4bd7-86c7-118becc5c9b2\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"quality_defect_classifier\"\n },\n \"id\": \"53bb395f-3072-435f-b051-f691b4954435\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"91f92b79-07e8-41cf-9d1a-92115031674d\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"44867b78-b164-4010-8732-f6dc7d391d87\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"quality_defect_classifier\"\n },\n \"id\": \"5b3fc67b-c039-4bc6-b2f0-4bd0c58602dc\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"quality_defect_classifier\"\n },\n \"id\": \"e607b51e-a06b-4614-8714-0ba803cd2031\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"67f74799-bb90-492f-b04b-defa516e02cd\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"39f3db21-6d42-4cce-b2a4-203fbecbe5d8\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"18899540-a96f-4e03-a08e-ecd68c4215d4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"f36eea46-81b9-402a-8936-e80d6638c7a2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"8ca4e3aa-29a6-4a1e-89d4-d627007a3a85\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Quality Defect Classifier", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Safety Incident Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Safety Incident Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"acd052ce-d3a1-4e61-baa3-45cd6f793aee\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"safety_incident_alert\"\n },\n \"id\": \"1deea699-1774-435a-90f6-69f08d5a6931\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"422f3b21-a6a6-4f42-99a4-639edfeb9b5e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"20df8766-9812-46f6-a460-6dc78be50f81\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"safety_incident_alert\"\n },\n \"id\": \"45b8c485-9062-44d5-8580-2f7873405375\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"safety_incident_alert\"\n },\n \"id\": \"52766966-69f4-4e89-ac3a-2eb770a04adf\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"4edf8626-ea38-48b1-ab95-ecabf977ce86\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c04e95e7-b775-4be6-817f-c3c54bb7c0fd\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8d56875b-ebe1-4d6e-bc84-d34ce77f5e06\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"39891a6f-af82-47f1-b8de-809e45a2e91c\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"41ecc052-0431-49a5-8508-826db972109c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Safety Incident Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Shift Handover Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Shift Handover Summary\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e21b4c7b-8945-458d-84f5-edea8d605c63\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"shift_handover_summary\"\n },\n \"id\": \"2032944d-a397-42e8-a145-3ce85fd48e71\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"024c6eb0-bce1-40a9-8fff-2027c229258e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"61a509e3-ccec-4223-831f-3244d7ab5cd3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"shift_handover_summary\"\n },\n \"id\": \"b47689d7-8679-48da-b9a3-ca2afcc4f597\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"shift_handover_summary\"\n },\n \"id\": \"ed7830fb-184a-474f-8bdd-2fae0383012c\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"b06cfa77-8233-42b3-86ef-f53a19fbd2e9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e2b1b8d0-d4fa-45b2-9b3a-e08dd662e595\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7ddd3795-472f-4f4e-a81f-b562179ef0b0\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4603bb8e-7edf-4dea-a8c3-eb7ed7f38233\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f05a9bdc-cd55-4e0f-9e02-a1b9af498cb1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Shift Handover Summary", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Supply Chain Delay Monitor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Supply Chain Delay Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Supply Chain Delay Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"9df77f37-dd97-4dea-8ab1-0ab3a5e29489\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"supply_chain_delay_monitor\"\n },\n \"id\": \"d179203c-413b-425f-be6d-82a645642ba2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9b94fc8b-644c-4569-8449-35157c58aaa1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f232e6de-527b-47e4-b961-dd360903cd61\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"supply_chain_delay_monitor\"\n },\n \"id\": \"169f701d-3475-4451-b727-1f485145307a\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"supply_chain_delay_monitor\"\n },\n \"id\": \"3a1c0d2b-3115-4c2b-9243-c4c4a89c0ab7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"813e73ba-ca9f-45e7-92c0-761a78a8f2d9\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6126e963-632b-412e-b06f-09dc807001e8\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b6b6f472-4a00-4b7b-9e35-a8b79ae004a3\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"adcef2d0-b2f7-4c3a-93d3-22eb92c84f81\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b1552509-063f-4144-8f96-9de975b85c06\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Supply Chain Delay Monitor", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "How would you build: Ad Campaign Performance Alert?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Ad Campaign Performance Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Ad Campaign Performance Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"b9d822c3-5472-4e62-ae22-da1dcc48da68\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ad_campaign_performance_alert\"\n },\n \"id\": \"6915be1a-2020-44fd-a1a9-03729618e0f4\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8fa9fd45-56ed-4335-9cd6-da422c296469\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"61f0b264-c6da-4340-adb2-4b2dfbf79c25\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"ad_campaign_performance_alert\"\n },\n \"id\": \"8d44d896-ea7a-4c50-b6fe-752f40708d99\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"ad_campaign_performance_alert\"\n },\n \"id\": \"a448c986-5c7d-419e-961b-a7a798325d9f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"9f02801d-d8e4-4a70-a219-ee8b2bc80dde\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"924d810a-70de-4310-8abe-4d7f7eed8e23\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"68c84590-c0d5-4b5d-8976-56afb248ece4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3ffa4018-e220-44b4-b7da-725aed7bcfae\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"92e93140-2890-47b1-8736-1be9a2322275\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Ad Campaign Performance Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Breaking News Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Breaking News Summarizer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"1c60dfda-ff6c-431b-8200-9b6c34adc1d9\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"breaking_news_summarizer\"\n },\n \"id\": \"ae2530ec-60d3-41b3-a0a2-7a18071f6330\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"89dee8a0-3133-4c1b-a4b9-aa2fc194949b\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"29f16a9a-1f38-4713-ba9c-215f8259cd88\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"breaking_news_summarizer\"\n },\n \"id\": \"45eefa2e-cd65-44a2-8597-1090e59b131e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"breaking_news_summarizer\"\n },\n \"id\": \"6e5733ea-2827-4e32-a683-c61ef69fea40\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"34c6f9f4-68a8-4d58-a5f3-bd8fc98456f2\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a2f1be61-44ce-4729-bcae-1e436fec6495\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1be3574f-87ea-43ad-8a1a-742bbabbf2fc\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ab963c4f-2d8b-4f66-a7e3-3f9d4ec07612\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"728c2329-b3fc-4864-a4d5-e46a04502dcd\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Breaking News Summarizer", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Content Idea Brainstormer", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Content Idea Brainstormer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Content Idea Brainstormer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"bb42db96-13a5-44e7-af1b-e6e11b76cf74\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"content_idea_brainstormer\"\n },\n \"id\": \"e6c6bc62-818c-46b8-877f-ae4c812daa94\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0b4c4b2a-b95e-4080-b908-5851357ed0e2\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"14ad7f23-10af-41f6-ab29-37f382175fc3\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"content_idea_brainstormer\"\n },\n \"id\": \"4b787c22-2dca-4c15-9572-0ff8991d2220\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"content_idea_brainstormer\"\n },\n \"id\": \"10f96194-129a-4ce5-9657-23301c80bfe8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"8ef28b27-506c-4ac2-b816-65ac3d702ddc\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"68b965ee-3149-4632-9f2e-0d918944d13e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9504e336-55bd-42b9-afd6-78b0fc0be206\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"5b9c91e5-ccd0-447c-b14e-1409738a3a2c\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"43f9428f-3874-436f-94c5-45e5a692d696\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Content Idea Brainstormer", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to live stream chat moderator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Live Stream Chat Moderator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Live Stream Chat Moderator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"0477641f-1ff4-4ac3-aac2-244c57a4b6bd\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"live_stream_chat_moderator\"\n },\n \"id\": \"8c9bf83f-1b91-4b43-8ea6-c023f73625e9\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fd0a3c84-6227-4b9d-b465-36e21b1251cb\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"4caeff08-3ead-42c1-b9ac-6aa5f8e0eb78\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"live_stream_chat_moderator\"\n },\n \"id\": \"bd57b1a0-b6b9-4c9e-b2e6-a02a352d2cc2\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"live_stream_chat_moderator\"\n },\n \"id\": \"29975a1f-52a0-43f9-bf8f-3024d8d204a7\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c2be4d8f-bf26-4f91-8086-d91b053fd030\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"730c0f23-e800-453d-9443-e0cf6aa11324\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"822318fd-aae5-4013-bf4b-1dbd3427f23f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"3b0f82a6-f252-4493-b48a-c936ad1163b2\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"7cd9388a-03bf-4b50-91a8-be337e97bee8\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Live Stream Chat Moderator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Music Playlist Mood Tagger?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Music Playlist Mood Tagger\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Music Playlist Mood Tagger\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"35c5ee28-e623-49f7-91d7-0ae7530044d3\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"music_playlist_mood_tagger\"\n },\n \"id\": \"1c071a41-d513-4b60-9c81-e54213c9337e\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f8f1f9b7-57ea-4ae5-8a19-c498acbc9e05\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"a879123d-930a-4259-98b2-7e994b3bb7b0\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"music_playlist_mood_tagger\"\n },\n \"id\": \"fb0c0220-4fcd-48ff-b217-b7a90763ea93\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"music_playlist_mood_tagger\"\n },\n \"id\": \"8874d67d-b3d7-4f97-ac3f-3039c275203d\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"8bda0fad-cf73-48ee-86fa-49c7126589e6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"50efd5f2-0b34-427a-98c6-8eecd851877f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bca987be-2cb1-4f84-8185-d0cf02dac038\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"abde755c-7ac6-4269-91fa-bbbbce0370ba\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"866c78a4-8df7-487b-81a2-f0e50dc22c2a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Music Playlist Mood Tagger", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for podcast show notes generator", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Podcast Show Notes Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Podcast Show Notes Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"db0d0a37-0a6f-4e1f-9348-3a251bd7aca6\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"podcast_show_notes_generator\"\n },\n \"id\": \"8eb22c68-2e1a-4bb5-94db-363df07692b3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"da5e4956-b820-4091-b83f-ab2468c08f8e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"660508cd-d632-4e93-973e-5e7242cb123a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"podcast_show_notes_generator\"\n },\n \"id\": \"6a99b507-ba03-4696-b932-ec53815cc338\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"podcast_show_notes_generator\"\n },\n \"id\": \"1054a795-1000-4d02-8726-23bc4a624c01\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"a9aad1e2-da5f-4845-ac93-c6970b4403e7\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e151b7c2-9167-4f7d-8747-cde886f42c92\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6716f412-12b8-45e7-b388-bde3977ffd6a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6fb42ba0-e674-492a-8657-342f68d44665\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d4f71f10-2c90-46a0-a10a-b3b60fc18cac\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Podcast Show Notes Generator", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"PR Crisis Detector\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## PR Crisis Detector\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"51e4daa8-b45b-4ae4-96fe-2105f1999677\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"pr_crisis_detector\"\n },\n \"id\": \"01d0bfb2-001d-451e-ba33-1da3c3294f0f\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f654bb12-4c8c-452d-981f-b6effb15296f\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"696b4bad-e80b-4942-bd49-e151946f3d2c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"pr_crisis_detector\"\n },\n \"id\": \"5c7f4d37-57c1-48db-9892-5919bdd40f34\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"pr_crisis_detector\"\n },\n \"id\": \"8a661be2-e7e6-4e37-8414-5487209e95c2\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"31c589e0-6733-40bf-ae02-61562fdecd14\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d45746f9-7752-4c7f-be93-ff50ab2cfd3c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"54a2dcbd-8d45-4d51-8674-3f13dcb766be\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"80fd174e-e101-408f-9464-0c4f39719567\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2aa18194-afda-418b-b37c-d608cb5e9bf6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "PR Crisis Detector", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Script Dialogue Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Script Dialogue Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6bda99e0-afce-4f25-a0d6-37fc3030fc7d\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"script_dialogue_analyzer\"\n },\n \"id\": \"6e893763-6466-4f44-b1ee-b7ad243895f3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"fa02ba25-5d8c-422d-b89e-5e38d53a7268\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"3e2c2d49-c7a2-48b0-bf8f-57c6badfc67c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"script_dialogue_analyzer\"\n },\n \"id\": \"0ee473ca-5f98-4afe-a79b-05247ef02cb8\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"script_dialogue_analyzer\"\n },\n \"id\": \"4baa06dc-4f02-4875-9b36-bf43cbcf28c6\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"dfcc35bd-4c02-4979-953f-21bad7251b32\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d695ca63-96c3-4cc5-9d8c-294952b1ea7b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"97a4dcb7-cb9f-4eca-b723-4d364049899f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"88d39f02-5c26-4ebd-a113-f793dd30092f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3c3347f0-df24-43f7-add3-15dda70a794a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Script Dialogue Analyzer", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for social buzz heatmap", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Social Buzz Heatmap\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Social Buzz Heatmap\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"138215f7-468b-48cb-b376-c40a817528f2\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"social_buzz_heatmap\"\n },\n \"id\": \"82f30b68-e3f1-40f7-88e3-ab1c3233e230\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c324892d-dfbb-46eb-a20b-3194d5af8027\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"1a536591-e56d-4882-97fa-750ea30a04fe\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"social_buzz_heatmap\"\n },\n \"id\": \"b9fca89c-c694-4953-bee6-703bdea51693\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"social_buzz_heatmap\"\n },\n \"id\": \"4a9a5d30-032a-457d-a671-ead31f559495\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"45b04afb-4591-4c07-9b6c-e3bc20b32812\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"543b0e24-d804-443c-9c6f-bd1edaa4ac2b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8a835b4e-cf65-49ac-9349-f8b64dda14d9\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"4bfaf367-92e9-40a0-8396-e190a5eb204b\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"6b69c4ac-4d92-4e53-90db-0ff92a2e0304\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Social Buzz Heatmap", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for tv rating trend report", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"TV Rating Trend Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## TV Rating Trend Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"65c293e1-1bb3-47b1-a7e3-1a437f9e1b82\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"tv_rating_trend_report\"\n },\n \"id\": \"5ebc0a6b-0f4a-4830-86ff-ee32ab4bdf00\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"54c599be-45db-4a02-a36f-4dfb1e742586\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e24b26c6-bc13-4744-8ec3-8edb1d499fbf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"tv_rating_trend_report\"\n },\n \"id\": \"0e886b29-468c-426d-ae42-ec988395d9c5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"tv_rating_trend_report\"\n },\n \"id\": \"db48a725-0c6c-41da-a903-0b84de6841eb\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"b38807e5-de3d-4b5e-90d9-5f8512e32fc4\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ae8a7a3b-91a5-48c3-a0f1-f6c57a25dfb1\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8765fbd0-3a13-4190-978d-ca9afe9bb02a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"7d837a97-93be-4f6a-89d6-7f35d82f74a6\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f8725419-cad6-4316-b509-2a9733bd92bf\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "TV Rating Trend Report", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for api monitor auto restart", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"API Monitor Auto Restart\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: API Monitor Auto Restart\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"5a361eec-4cf1-4626-8301-f1d61886385b\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"api-monitor-auto-restart\"\n },\n \"id\": \"4a4d8e8e-ef65-4993-be9b-e5a9667a9ec3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a7c202eb-a14d-4c3a-9901-847fb858c828\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"2dc406f3-4a67-4021-80a2-3926b5b55087\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"api_monitor_auto_restart\"\n },\n \"id\": \"8781c9ef-fcc4-41cb-9fda-3ece7aaab8c1\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"api_monitor_auto_restart\"\n },\n \"id\": \"368141fb-c508-4ef1-a99b-2848db6feb09\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"31889dd8-f57a-4cc2-8ef8-e8666ca9f67e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"8c45174b-5b62-4222-a33f-ef9085097ffc\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ad6b30cb-5adf-4c0f-96fa-89a830472d1d\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'API Monitor Auto Restart':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for API Monitor Auto Restart\"\n }\n },\n \"id\": \"c3bb6442-4dd3-4d62-bbe9-a47a0ff7baff\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"API Monitor Auto Restart\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e9a91afa-9d08-42a7-a362-2f5eed4db722\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"API Monitor Auto Restart error: {$json.error.message}\"\n },\n \"id\": \"480913f8-b511-4f82-b413-b19bf75ed0d2\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "API Monitor Auto Restart", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Api Stats Chart", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"API Stats Chart\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: API Stats Chart\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d6936124-41be-4586-a3b6-003216c47610\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"api-stats-chart\"\n },\n \"id\": \"03fca675-6256-4e85-928b-785d0b0ae848\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"47ef8ce5-0a2e-4eb9-a127-ce55a886cf1f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"2f994a01-b92a-45be-8d60-38c6f82e8ffd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"api_stats_chart\",\n \"mode\": \"list\",\n \"cachedResultName\": \"api_stats_chart\"\n }\n },\n \"id\": \"1c46d9b8-8847-460f-8bc5-fb4e4072a2f1\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"api_stats_chart\",\n \"mode\": \"list\",\n \"cachedResultName\": \"api_stats_chart\"\n }\n },\n \"id\": \"4eeb7d21-d2aa-4e25-973c-5ae7e3ae8860\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d3f2b2e4-729e-44df-ad1c-d7481e4a23af\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"433f4d6b-23a5-44e6-8c5d-1d7f1ed6b8d3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"b531b066-c595-4ccd-9ba7-a228082bf9cc\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'API Stats Chart':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for API Stats Chart\"\n }\n },\n \"id\": \"9ed764eb-612c-4802-9932-741f73c2b86c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"API Stats Chart\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"70b3720c-76bb-42d4-a28e-016be84c295e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"API Stats Chart error: {$json.error.message}\"\n },\n \"id\": \"e7e520aa-6969-416e-a6f4-8f9a593bac72\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "API Stats Chart", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to applicant feedback folder", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Applicant Feedback Folder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Applicant Feedback Folder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7ce644a8-5c25-474d-ae3a-53c8f74476f1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"applicant-feedback-folder\"\n },\n \"id\": \"d3b2ddcc-92fb-4696-9bb6-5eb65fedb10f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c2d64b36-7adc-4c63-8722-d11bc05edda0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a01f57f4-f0aa-41e3-9486-8996eb0fc0a4\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"applicant_feedback_folder\",\n \"mode\": \"list\",\n \"cachedResultName\": \"applicant_feedback_folder\"\n }\n },\n \"id\": \"98c5ac59-4156-4fbc-8646-49e28b37e12f\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"applicant_feedback_folder\",\n \"mode\": \"list\",\n \"cachedResultName\": \"applicant_feedback_folder\"\n }\n },\n \"id\": \"31611f38-a320-43f1-9077-9823cac1b27c\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"64c1fda2-5757-4cf6-be12-f9fdfb5d032a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fe29c4d9-1fad-4a5e-9eaf-0c2d673c00f5\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a96f8d68-4a2a-4e91-8131-db38c9f156c8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Applicant Feedback Folder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Applicant Feedback Folder\"\n }\n },\n \"id\": \"6704c3d5-cdec-4530-9cf3-c936b18621f8\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Applicant Feedback Folder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"4c1b7df3-a692-4285-918c-eeb7ea56e954\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Applicant Feedback Folder error: {$json.error.message}\"\n },\n \"id\": \"8310c244-ab16-4926-a82f-e0043a795a68\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Applicant Feedback Folder", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Assignment Sms Reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Assignment SMS Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Assignment SMS Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"a7910b7c-92e9-415c-8754-fbed9c8c594f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"assignment-sms-reminder\"\n },\n \"id\": \"cf018e3d-4c4e-4977-abc3-8b30defc78ef\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a701aa19-bd4f-4380-9271-2054007eade2\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"209bfd2d-d15c-4906-aaa3-9c47c36ab605\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"assignment_sms_reminder\"\n },\n \"id\": \"510ebe4d-a02e-40d9-808e-ac83d2299936\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"assignment_sms_reminder\"\n },\n \"id\": \"8fa4a854-9cdf-43f0-97c6-06e491066a27\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c5db775c-afc6-4b76-bacc-d592aed4008e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b42a0cf0-8115-4af7-8de8-68168e7399ae\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"abab42b5-179b-4929-a876-4664c2fb3869\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Assignment SMS Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Assignment SMS Reminder\"\n }\n },\n \"id\": \"4773cc72-a7f7-49b5-907b-40c5f726dec9\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Assignment SMS Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"b3084b31-648f-4736-8d1b-7ee0de4ebf10\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Assignment SMS Reminder error: {$json.error.message}\"\n },\n \"id\": \"c1059c41-d2d0-47fa-a146-95481e40850f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Assignment SMS Reminder", "node_count": 12, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for bank sms alert to telegram", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Bank SMS Alert to Telegram\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Bank SMS Alert to Telegram\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8bba6263-435f-4314-b024-e0ce26abaa4a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"bank-sms-alert-to-telegram\"\n },\n \"id\": \"4c8fd8cf-fc0d-49ec-a24f-e989e6c5cd15\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e72f2bc8-8a8e-4028-aabe-8945523aff0a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a250943a-b044-465b-9a2d-b79171451ad8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"bank_sms_alert_to_telegram\"\n },\n \"id\": \"369546da-d5ad-41b1-9f16-81e217b88ad5\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"bank_sms_alert_to_telegram\"\n },\n \"id\": \"eb743252-44c7-4c6f-bf75-a36f514af2c8\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e964446c-e500-49b4-b030-237d21bb2715\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7336deaa-1df6-4202-bd35-547cf9fc026e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"cf4ef355-50dc-4e41-89b7-a1f7a530dd86\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Bank SMS Alert to Telegram\"\n }\n },\n \"id\": \"be3ba056-c26e-4cee-9c9b-c15a67669ff0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Bank SMS Alert to Telegram\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"9f7c5610-8b55-4d46-b0bf-01cad3358ed2\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Bank SMS Alert to Telegram error: {$json.error.message}\"\n },\n \"id\": \"1fba4c24-9724-4200-8f05-3f279aae8bea\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Bank SMS Alert to Telegram", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Build a workflow for: Birthday Telegram Reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Birthday Telegram Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Birthday Telegram Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"499bef31-9bfd-4a30-8b81-6c8664e79a0f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"birthday-telegram-reminder\"\n },\n \"id\": \"c1901bee-2c1b-4cc7-9df1-30a2b8559b50\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1b0b0e7e-b1d1-47c7-82d2-55cda35941c5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a3b9a0de-019d-4540-aaaa-07a250454313\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"birthday_telegram_reminder\"\n },\n \"id\": \"579ee9ec-23d2-472a-b157-2258e1b9030e\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"birthday_telegram_reminder\"\n },\n \"id\": \"0dc6501b-c6c8-4f87-b0a3-05a772cf7f10\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"031e141d-4e62-484a-8f96-6ee7510ae6e7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7cc0a197-a75b-4efe-8a33-386d31a7a4a3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"03fb1c35-3ea8-42fc-8c16-ed7067118c9e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Birthday Telegram Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Birthday Telegram Reminder\"\n }\n },\n \"id\": \"0f00acfb-1111-4f06-b757-76e390bbbb77\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Birthday Telegram Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"ca627631-889a-4297-be03-a9ebf2bdd0c8\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Birthday Telegram Reminder error: {$json.error.message}\"\n },\n \"id\": \"d6ec7828-a91c-44d6-9138-5da89be3f90e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Birthday Telegram Reminder", "node_count": 12, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to blog comment discord", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Blog Comment Discord\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Blog Comment Discord\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"82b812ed-5376-4fcb-8aa1-d0aafdacf394\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"blog-comment-discord\"\n },\n \"id\": \"7cd78bc9-6f9c-49ff-b301-20351c194a01\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"931184bd-d737-4ee0-83d3-790fcdffb71c\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"948b5a40-c675-4b22-8d94-06372555e0f8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"blog_comment_discord\"\n },\n \"id\": \"f40be7b1-bbf1-46db-bbc9-37a0b93aecea\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"blog_comment_discord\"\n },\n \"id\": \"04c8f2e1-32e5-452e-bf69-a4ff4581978a\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"92293484-e699-431c-9d31-d92d278aee0d\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3e391481-eb82-4151-a205-98a7c72a250d\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"b2e5956e-1b19-4df8-9753-1fb5f376b150\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Blog Comment Discord':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Blog Comment Discord\"\n }\n },\n \"id\": \"c8499c4b-4774-41ea-ad92-6b24a75c8cd1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Blog Comment Discord\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"b7800da2-d330-404c-8c1e-0071414ef68a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Blog Comment Discord error: {$json.error.message}\"\n },\n \"id\": \"b9f4c51a-59b7-42b7-89d7-6749f1d9503a\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Blog Comment Discord", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Blood Test Email Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Blood Test Email Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"66fd712a-d30b-4837-9781-1e7f40470a18\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"blood-test-email-alert\"\n },\n \"id\": \"7a588b32-00a1-41a3-a02f-f87eed240446\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ce617935-770b-4c86-b082-19fecad2e663\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"54f567f9-7d21-432b-8506-61d357a6c11f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"blood_test_email_alert\"\n },\n \"id\": \"d0dea4ec-1cfa-4d38-81e6-dd097248f8c5\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"blood_test_email_alert\"\n },\n \"id\": \"2aad603d-1af9-4cce-b541-91ddbd9e3849\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"232c9af2-7f53-4c59-9da7-8199210ad660\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7813ab2c-625d-4941-924e-61bd1c644510\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"75f668f2-3e48-4b34-9cc7-abe95f61b157\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Blood Test Email Alert':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Blood Test Email Alert\"\n }\n },\n \"id\": \"57a825b5-95b8-4f20-bfcf-48a9da28ef9e\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Blood Test Email Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"243a70eb-4c62-4ca4-a6fc-81c9171caaf7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Blood Test Email Alert error: {$json.error.message}\"\n },\n \"id\": \"52782e9d-b356-438b-a575-c4d9c6647a41\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Blood Test Email Alert", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Calendar Event Auto Tag?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Calendar Event Auto-tag\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Calendar Event Auto-tag\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d41f0bca-60f2-42f6-8283-6b90cd9da0fb\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"calendar-event-auto-tag\"\n },\n \"id\": \"b9699e56-abbc-4dbd-a302-34778ca57807\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"45e22857-69e5-4910-a8a4-eba26439c991\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"0c75dd00-f3d3-4dbe-9485-4d5b3a584e3f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"calendar_event_auto-tag\"\n },\n \"id\": \"651f51f2-51a6-4507-b3f4-86e2be5be9fc\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"calendar_event_auto-tag\"\n },\n \"id\": \"2097dece-c795-48c4-ab4a-e61e2dae9e2d\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"a2f32ba3-0b89-4300-af68-c2676fceec51\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0e0165a0-b5cf-4c04-b28f-45e646dd6eb8\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5b28014a-edff-4b54-a156-50ea240a0f3d\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Calendar Event Auto-tag':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Calendar Event Auto-tag\"\n }\n },\n \"id\": \"d875843e-628a-4acf-b837-887a1e9b5513\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Calendar Event Auto-tag\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"9b3cbd85-6d08-4155-841f-b25dc2a8fb20\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Calendar Event Auto-tag error: {$json.error.message}\"\n },\n \"id\": \"ad91cf83-861e-4574-8c7e-54735fcfe7f3\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Calendar Event Auto-tag", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Calendar To Clickup", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Calendar to ClickUp\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Calendar to ClickUp\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7c2f6c31-cef6-4faa-85d2-1b612ca47738\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"calendar-to-clickup\"\n },\n \"id\": \"616b196a-7236-4a77-85d2-8ce0bea08e1a\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"3069949e-0f7e-4e4c-bb8b-0c47fc2e46c5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"ea8f8a1f-5338-47b5-afc1-293b76318357\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"calendar_to_clickup\",\n \"mode\": \"list\",\n \"cachedResultName\": \"calendar_to_clickup\"\n }\n },\n \"id\": \"b341bded-d136-4a8d-9f00-861b8437e4aa\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"calendar_to_clickup\",\n \"mode\": \"list\",\n \"cachedResultName\": \"calendar_to_clickup\"\n }\n },\n \"id\": \"b7ebe434-8f63-4f1f-b422-b14cea1ea63e\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4528b267-fcda-42d7-a0e3-de6cda9f5a1a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ea1959d2-be0c-4b6f-93f4-962b33e835ed\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"4e2527c8-2303-4265-b3d3-dd3bcdbdfb61\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Calendar to ClickUp':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Calendar to ClickUp\"\n }\n },\n \"id\": \"4167d420-b67d-4d8f-9b2a-259d650e3a3f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Calendar to ClickUp\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"107584cc-3d6b-4c62-957a-9ef5a3fe4f2a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Calendar to ClickUp error: {$json.error.message}\"\n },\n \"id\": \"ba428de4-7fdf-42f7-9214-0f66a7ef77f1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Calendar to ClickUp", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Course Completion Certificate\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Course Completion Certificate\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"00188eee-a2bc-4d65-bea7-22693ab8d22e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"course-completion-certificate\"\n },\n \"id\": \"7853e915-bbc6-44ea-9756-b2a0d25ba361\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c4963bac-745d-4822-bc0d-5b47d4d4eb48\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"eac7a044-6d99-4607-b9b6-ec9e3d2fbb97\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"course_completion_certificate\"\n },\n \"id\": \"a11419fc-733e-4ce2-9755-eba3fb7164c1\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"course_completion_certificate\"\n },\n \"id\": \"9276d92b-ce2d-4fa3-a028-0d27d17d5d2c\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6ccce1d0-d448-4e7e-a094-cc720756e668\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f1db10d2-bf1a-4569-bac3-f44825040634\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a2f054a8-22d1-4dbb-ab4e-06ba254d97a6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Course Completion Certificate':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Course Completion Certificate\"\n }\n },\n \"id\": \"457880d0-86d1-42e8-b91e-658967a70c21\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Course Completion Certificate\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"c60c62d0-9301-41c4-8cf6-5dcb6d065950\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Course Completion Certificate error: {$json.error.message}\"\n },\n \"id\": \"4987eb2b-a7ce-4689-b0b3-b87f9ab983e3\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Course Completion Certificate", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Crm Patient Intake", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"CRM Patient Intake\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: CRM Patient Intake\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"86b9f13f-62f9-458f-ad1f-551c22acc97c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"crm-patient-intake\"\n },\n \"id\": \"4b09900a-e4e7-4144-a460-cb44ceca072f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c5dacca0-17d6-4413-8ec8-ad721be328d2\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"68a58074-378e-469d-9022-b3c83bf8ee6c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"crm_patient_intake\"\n },\n \"id\": \"9720a931-4c26-45b9-a8c9-31d352d534d8\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"crm_patient_intake\"\n },\n \"id\": \"023dbcb5-e494-4c25-a83d-6c4e8f78888b\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c988cbab-d0da-4d21-a19f-9d499df5376b\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"eeec0d68-4233-4083-aedf-f9f81ead580f\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9ee23255-eb1c-457b-849b-b5e8b38d447b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'CRM Patient Intake':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for CRM Patient Intake\"\n }\n },\n \"id\": \"7852e84c-7f0b-44dd-8843-4c3d74d4b8ce\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"CRM Patient Intake\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"fdb770b5-451d-4b86-b968-6b3101545a94\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"CRM Patient Intake error: {$json.error.message}\"\n },\n \"id\": \"c9724e0b-7606-43a4-9765-2a4dd1d01646\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "CRM Patient Intake", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Cron Success Slack", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Cron Success Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Cron Success Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"b03d8e1e-d7b2-442c-9fae-ccf65c4125a7\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"cron-success-slack\"\n },\n \"id\": \"3f1813a6-4c11-437c-a487-fd91b2c0988f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"51415661-613f-4c39-9abf-6eb052df2251\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"5b064711-d117-44cd-83f4-789be1762c3a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"cron_success_slack\"\n },\n \"id\": \"0d3f05c1-1023-4aa1-897f-87de0ca47a39\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"cron_success_slack\"\n },\n \"id\": \"b8778660-dd26-4673-91b7-822e543607ef\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"6855ebd4-1b15-485f-90ab-a9755d50ba60\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f57b718e-8d0c-4bd4-810d-fbc53fb37133\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"f0e56d0c-773e-4a79-8299-082b5f6ab424\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Cron Success Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Cron Success Slack\"\n }\n },\n \"id\": \"20ac9f41-be41-4862-82ce-afbfe3abda1d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Cron Success Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"10e0dee3-1d1e-4ad0-b1cf-89699aefb1fd\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Cron Success Slack error: {$json.error.message}\"\n },\n \"id\": \"b7bfc454-6aaf-46c9-b35c-e88974babc1b\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Cron Success Slack", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Csv Attachment To Airtable?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"CSV Attachment to Airtable\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: CSV Attachment to Airtable\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8301780b-c5bd-48b4-9288-f69b1c8ba012\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"csv-attachment-to-airtable\"\n },\n \"id\": \"f2045b0e-4bf6-4788-afac-442f93a9974d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"14d8c6a2-cd6e-4a57-af38-3f2a56aec148\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"5ece73c9-1c2c-40b7-a5c3-faebc32150a5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"csv_attachment_to_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"csv_attachment_to_airtable\"\n }\n },\n \"id\": \"84e50d79-ac2c-45a3-84d6-4996378952bc\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"csv_attachment_to_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"csv_attachment_to_airtable\"\n }\n },\n \"id\": \"af1a60d0-bf2b-4cd8-bd36-77eb41d439e4\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"ac062bd5-d5ea-45c8-81e3-f2c25a84691c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"717a5d25-6283-498d-a866-d827a1b31e5b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5f81d9fb-3d8c-4824-9ad8-a7a48a251232\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'CSV Attachment to Airtable':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for CSV Attachment to Airtable\"\n }\n },\n \"id\": \"9597ffe2-20a8-49df-98bf-bc722d5af74f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"CSV Attachment to Airtable\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"77736a14-1aff-4736-8345-270bfbc5d262\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"CSV Attachment to Airtable error: {$json.error.message}\"\n },\n \"id\": \"c80995ec-dba6-4418-b275-8b8ccf01112d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "CSV Attachment to Airtable", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Customer Auto Tagging?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Customer Auto-tagging\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Customer Auto-tagging\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9f1c238b-8782-4c9d-8f31-70ea9793ffa1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"customer-auto-tagging\"\n },\n \"id\": \"85f21561-f8cf-4292-96c6-5b73484e95bd\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2c222980-aa73-4e0b-9a39-b9b15835cfcb\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"040314a3-fbfa-453d-9162-c149ea7ebd25\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_auto-tagging\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_auto-tagging\"\n }\n },\n \"id\": \"cc35e2b3-4495-4dcc-ae87-35e39a99fbdf\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"customer_auto-tagging\",\n \"mode\": \"list\",\n \"cachedResultName\": \"customer_auto-tagging\"\n }\n },\n \"id\": \"95966bc7-b3d8-4f9c-9af2-baf9ccfd4254\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fbff62ae-f2ff-441d-927f-5b35a26b4e3f\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1ccb9845-18a2-43a9-be19-520384e40b13\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"c4667e9a-c357-4d63-94a5-aee983169921\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Customer Auto-tagging':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Customer Auto-tagging\"\n }\n },\n \"id\": \"9d38d1cc-9ae6-459d-ab4a-63e57afac794\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Customer Auto-tagging\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"86e15f12-c9a3-4177-bb69-9dfb9d81c651\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Customer Auto-tagging error: {$json.error.message}\"\n },\n \"id\": \"95afe2a2-f3f2-4879-b4f1-533c35e6ac0d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Customer Auto-tagging", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Disaster API SMS\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Disaster API SMS\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"69257a08-9220-4154-99e2-37bb863ffbf1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"disaster-api-sms\"\n },\n \"id\": \"2d2f47ff-0270-49e9-8eae-b2953001fea5\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d9372145-e221-48ad-8307-074fb66158c9\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"8af454d1-43d4-4d9b-87b6-8b27ae50fbbe\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"disaster_api_sms\"\n },\n \"id\": \"e6468b01-b39b-415b-af3c-739622e715c8\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"disaster_api_sms\"\n },\n \"id\": \"d25b5499-42aa-4b97-9051-e11762523d98\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"8c4ffec5-8b34-4d3d-a598-9244e3ef5aaf\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e0077d9b-ebae-4102-b038-beadcdf71f0b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1cde59f5-0cfe-40d6-8652-360c1e2606ca\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Disaster API SMS':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Disaster API SMS\"\n }\n },\n \"id\": \"de908410-ed39-485d-b33b-c98ebc6edbd6\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Disaster API SMS\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"01254f9e-0418-488f-ae6c-8d159c76f4f9\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Disaster API SMS error: {$json.error.message}\"\n },\n \"id\": \"d2328665-5b92-4bfd-b840-7bddb01c99f3\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Disaster API SMS", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to drink water reminder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Drink Water Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Drink Water Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"ed0b6b94-6a94-459d-80d6-b0518159e0ba\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"drink-water-reminder\"\n },\n \"id\": \"201ce50f-f77e-4158-8906-4644e6149164\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e8c52f63-a4ec-4be6-bdd5-2bc2a9be7f2b\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"a262a182-2e66-403a-adf1-8abac8978048\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"drink_water_reminder\"\n },\n \"id\": \"7762e59b-4eee-4678-97b8-8c738d1bbd41\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"drink_water_reminder\"\n },\n \"id\": \"51ae1340-fc63-469b-914f-0808a9f06982\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e969e9b4-2c70-4439-a568-04d7a65dcba7\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5e929e1e-2299-47c0-88b2-07186e7e36d6\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"bfdde168-99df-4b0a-bf81-c1bb8e1cc03a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Drink Water Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Drink Water Reminder\"\n }\n },\n \"id\": \"58d6b2d9-dd3b-4875-bb4c-d3be55cd5cd8\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Drink Water Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"3b941dbb-1b0d-465b-b2d8-631caeb45aeb\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Drink Water Reminder error: {$json.error.message}\"\n },\n \"id\": \"a42e5614-ba09-4115-a7a5-bc5c07706df8\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Drink Water Reminder", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Etsy Review to Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Etsy Review to Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9ada3f67-3926-4995-8f82-0f8265c7da57\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"etsy-review-to-slack\"\n },\n \"id\": \"51db7f77-5b42-4259-bb85-216d79fcbc01\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9e891d18-bca7-4422-807c-141de650b33d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"fbb181b3-49c1-4ace-a94e-a76e5ad7edcf\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"etsy_review_to_slack\"\n },\n \"id\": \"0ebef6a8-753a-470e-a984-5a10932fe1b8\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"etsy_review_to_slack\"\n },\n \"id\": \"e79e1d34-4dd4-42d0-b35d-bd520abd2103\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"41b356e4-b29e-4b80-950d-53fbb1035a35\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3e5896c8-c0ae-435a-93ee-048a3cd5f8ef\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"da4d79ca-74f7-4d86-96f4-14f4ecd88a16\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Etsy Review to Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Etsy Review to Slack\"\n }\n },\n \"id\": \"218c49e7-8815-4df7-8544-36f413a1eb98\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Etsy Review to Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2c838709-3373-44d0-bf31-87d60a1c351b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Etsy Review to Slack error: {$json.error.message}\"\n },\n \"id\": \"68cee1a3-f365-4358-a9b3-e374260270be\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Etsy Review to Slack", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for fitness api weekly report", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Fitness API Weekly Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Fitness API Weekly Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"fb5b6cc9-a3ca-4c2c-bd10-1545178cd1ed\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"fitness-api-weekly-report\"\n },\n \"id\": \"344206c2-8c8c-4fbb-858a-c0e8eedc2ce0\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2e12fc58-d1e8-4878-82bc-e22fee023178\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"35886feb-ae64-4aa0-a2e8-547e50be4aa6\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"fitness_api_weekly_report\"\n },\n \"id\": \"92ee7d9d-e7c4-4e59-b838-31c9c9a8bd14\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"fitness_api_weekly_report\"\n },\n \"id\": \"5b028e05-8481-4805-b63e-725f96511836\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"83a18d4e-1ca4-4d27-b86e-74e2cbfdb959\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"164d5925-32e6-4c0d-82c2-aa41700bef8d\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"da0b3613-27f6-475a-a68b-c2af2c462ac3\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Fitness API Weekly Report':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Fitness API Weekly Report\"\n }\n },\n \"id\": \"e037ce6e-8a01-4a60-8560-83151db3c6f0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Fitness API Weekly Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"7f166559-0c74-4fa3-9958-bc492bb87d08\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Fitness API Weekly Report error: {$json.error.message}\"\n },\n \"id\": \"bfd4a5fa-28b7-4f39-923a-064ca8d964cf\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Fitness API Weekly Report", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for ga report email", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"GA Report Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: GA Report Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"4f1aab57-9308-4e86-9152-61fbfa3365a9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"ga-report-email\"\n },\n \"id\": \"65695649-dfc5-4677-af78-567051da6234\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"22d39ff9-e8dd-4313-acb9-acdcd9f182b5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"72155732-71f4-430d-bac5-57a8842ddf00\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ga_report_email\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ga_report_email\"\n }\n },\n \"id\": \"e8c7d48f-3e97-43fd-84bb-4dcb616db2a2\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"ga_report_email\",\n \"mode\": \"list\",\n \"cachedResultName\": \"ga_report_email\"\n }\n },\n \"id\": \"7970719b-0019-46eb-a2db-84a2b521bd2c\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"f9dc8e53-1929-4110-af74-421e6cdafd5e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a1d434ec-e2cc-4e88-b7c0-e4d697bb6833\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"47f73715-e5ee-4f85-a7ae-99b049c4ad90\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'GA Report Email':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for GA Report Email\"\n }\n },\n \"id\": \"d90712e6-0d32-4474-9bd5-665e46dab37f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GA Report Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"97fb2a42-c618-4a3e-b35b-18123b46da9a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"GA Report Email error: {$json.error.message}\"\n },\n \"id\": \"84e064b7-1ad4-4cbc-97aa-a65eb5a8d6e9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "GA Report Email", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Grant Application Routing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Grant Application Routing\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Grant Application Routing\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"617b027d-f07d-4f02-991e-e0849d539894\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"grant-application-routing\"\n },\n \"id\": \"dde8f45d-7cd6-4fd7-9f9d-251cd9c77c83\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b245846a-bd59-42e8-8e2b-dc0a52250848\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"85d8d786-d82d-44aa-baf7-44b2012aedcb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"grant_application_routing\"\n },\n \"id\": \"d8b6b087-21de-4f50-9bfc-e838d9065861\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"grant_application_routing\"\n },\n \"id\": \"c5d0fbe8-a21a-4565-a08c-e138c83e498d\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"8e30a670-ca06-4755-9de3-5a7ce685e436\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"429f791a-5173-4481-8962-4ece4084d641\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"3eafa51a-284f-40cd-af6b-267a1901b9d6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Grant Application Routing':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Grant Application Routing\"\n }\n },\n \"id\": \"492a65b2-b17e-41f4-9cb3-a33434ec9b22\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Grant Application Routing\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"92aa830c-345d-4c2f-9995-def7960bcb61\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Grant Application Routing error: {$json.error.message}\"\n },\n \"id\": \"bbb4a1df-650b-459b-8306-35a8d6daeb50\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Grant Application Routing", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Habit Form Weekly Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Habit Form Weekly Summary\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7b944cd3-60b2-41b7-b889-5b024ced0c89\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"habit-form-weekly-summary\"\n },\n \"id\": \"ac0c36ba-43c3-489a-9a4c-c86a7d639a1f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"4fbb3ced-45ca-421b-b317-48d64e758d12\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"42114436-997f-4fb9-beeb-de2ca3488fdb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"habit_form_weekly_summary\"\n },\n \"id\": \"0722c641-3b7a-40ad-8983-5b8ecfa389b2\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"habit_form_weekly_summary\"\n },\n \"id\": \"07be59f8-c6ef-4bc2-a526-7b6e9b36c5ec\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"f84a5cf4-06ed-461f-a1ef-d793e742590a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"032e9fb8-fe54-4280-b0d1-d52f6c90e9e2\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"94ce5622-db58-490e-8f7a-add3e0864617\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Habit Form Weekly Summary':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Habit Form Weekly Summary\"\n }\n },\n \"id\": \"4ebafa38-6715-4530-a9d0-346a1cbb2603\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Habit Form Weekly Summary\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"366ff844-9210-4681-be50-f3022b5dfe48\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Habit Form Weekly Summary error: {$json.error.message}\"\n },\n \"id\": \"c3009b9c-07ab-48ec-a6fc-f9ced5717941\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Habit Form Weekly Summary", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Hourly Weather Log\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Hourly Weather Log\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"51aa653a-88c3-4c63-a30e-23e01031d76c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"hourly-weather-log\"\n },\n \"id\": \"955ca4d7-8066-4712-ad7f-eeab2a629b08\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f318ebee-206e-4347-9ef6-141b8d3d4e38\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"a911e7f9-4f45-4147-8587-c30df655785d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"hourly_weather_log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"hourly_weather_log\"\n }\n },\n \"id\": \"75934585-942c-4b4f-92c1-bda09dc8328e\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"hourly_weather_log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"hourly_weather_log\"\n }\n },\n \"id\": \"81757525-16d6-4d55-885a-268ba7664b51\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"844830f7-13a2-43af-91ea-5aa08a5f9eaf\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"febe0952-37a0-4da6-a0fb-ddfe003ce96a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"81d81450-043b-48c2-a451-1dfe378bd650\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Hourly Weather Log':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Hourly Weather Log\"\n }\n },\n \"id\": \"913a12fc-d88b-4041-bb4a-25d6f4f7504b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Hourly Weather Log\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"7928b2a8-a1c7-480e-8e73-9e5ffd5d2680\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Hourly Weather Log error: {$json.error.message}\"\n },\n \"id\": \"76b5c2b4-ba2f-4468-b089-71108eb88420\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Hourly Weather Log", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Idea To Ig Carousel?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Idea to IG Carousel\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Idea to IG Carousel\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"54134b2f-ee07-4ee3-8934-091e0cc39c6d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"idea-to-ig-carousel\"\n },\n \"id\": \"0557fff1-0a8e-4013-b7ec-ac586a69ab59\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"dd6a352a-89f3-4456-b938-f407c2702e16\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"b20d9054-64c5-4e92-9e49-5c7f5808590a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"idea_to_ig_carousel\"\n },\n \"id\": \"1a52a5a3-2ce3-406f-9ad1-98b30266be23\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"idea_to_ig_carousel\"\n },\n \"id\": \"72a71b2d-bb5d-4545-9482-a524dda1e1b0\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"64a8d0c4-6d19-4726-a74c-7220105d0ce9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fb391d71-831a-4785-a6f8-fcb394893cd3\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a37dc046-d17e-44b1-b0af-3d40f8a7cd3a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Idea to IG Carousel':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Idea to IG Carousel\"\n }\n },\n \"id\": \"20b5f76e-141a-412b-9b8d-9d2e2ec88641\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Idea to IG Carousel\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"f4779a50-0a27-4916-889c-b4164139db72\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Idea to IG Carousel error: {$json.error.message}\"\n },\n \"id\": \"5d1c9252-8f74-40d5-aae1-b1ad869d16d1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Idea to IG Carousel", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to interview scheduler", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Interview Scheduler\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Interview Scheduler\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"29ebd35b-f428-4229-ae22-5601a2462b42\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"interview-scheduler\"\n },\n \"id\": \"3c628416-38b1-47e0-99f5-96f5bd7ccd4c\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"186c76a5-0685-4d2f-a393-e4ef88ce1aae\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"e79dbc8f-eb89-4738-a95b-778cf9107690\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"interview_scheduler\"\n },\n \"id\": \"f76b463b-138b-4e56-9c1c-3f6547ff4131\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"interview_scheduler\"\n },\n \"id\": \"f50cecc1-26bf-4069-b176-503943b30cb8\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"8f7b7e77-a500-4e5e-b6be-2055430c83b4\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d66d9836-2f7b-4637-a0f9-4df46ebd65b8\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"8a4a94a8-d20f-4e25-a391-6b38f9184f0b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Interview Scheduler':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Interview Scheduler\"\n }\n },\n \"id\": \"8eb1e7ec-409f-4aee-a411-c611adb5a09e\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Interview Scheduler\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"5bd51947-ad76-40ca-b49f-614102d20d75\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Interview Scheduler error: {$json.error.message}\"\n },\n \"id\": \"7ef1a95a-12b8-4b48-867b-d1ad62f4ceec\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Interview Scheduler", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Issue Trello Card", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Issue Trello Card\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Issue Trello Card\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"ffde606d-21f9-46d6-b42a-7a7b85966a40\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"issue-trello-card\"\n },\n \"id\": \"2c7406e0-da42-4bfb-8c62-4a249a6f2f77\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"068f1d79-d90c-4f1a-9625-98ccb22a77f0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f0266964-6acb-4e74-92d6-41bcce892631\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"issue_trello_card\"\n },\n \"id\": \"81d47557-d8b7-4f1e-af5d-132f387df011\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"issue_trello_card\"\n },\n \"id\": \"7929908d-f850-4062-8d76-a7ff9dd0f8e3\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"c3245d8a-627e-425b-afc8-f8a024ef95af\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e1e8ad99-075a-435f-84b8-f6972f232af5\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"7f4e69ff-d8aa-48dd-8383-dbef10749fcf\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Issue Trello Card':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Issue Trello Card\"\n }\n },\n \"id\": \"488d5b09-7889-4783-8204-5716d88f86e1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Issue Trello Card\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"374e3b87-35e3-4ebf-a097-8b2ddf56e667\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Issue Trello Card error: {$json.error.message}\"\n },\n \"id\": \"51574494-a67b-4ff6-96ad-a414525a9ea6\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Issue Trello Card", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Show me an n8n workflow for json to sheet", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"JSON to Sheet\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: JSON to Sheet\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"22ae73af-1660-49c3-97b3-3e896eaab598\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"json-to-sheet\"\n },\n \"id\": \"2b9c6e14-8640-4c28-a593-07c2c7b34dcc\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"a3ffd546-08d9-48cb-9cf1-814f585c244e\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"26b8037e-5205-4e2e-9f84-f45759cdc143\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"json_to_sheet\",\n \"mode\": \"list\",\n \"cachedResultName\": \"json_to_sheet\"\n }\n },\n \"id\": \"8e87db29-aed5-4470-974b-2d9a7f80c050\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"json_to_sheet\",\n \"mode\": \"list\",\n \"cachedResultName\": \"json_to_sheet\"\n }\n },\n \"id\": \"1a4f3b0a-2109-4277-82d5-d2f8bad3e1b8\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d9de9e88-d22b-400e-a6c9-6c33c6a6bf62\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"39699355-6f61-45d7-ac91-739b8ae368ad\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"69b5c1aa-f248-4db2-b35a-f5ac7470b2ce\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'JSON to Sheet':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for JSON to Sheet\"\n }\n },\n \"id\": \"6fbd4ea9-4762-4904-a2a6-eea9f6d7f629\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"JSON to Sheet\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"3b91edac-b782-4e3b-8b42-a6b45da192c7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"JSON to Sheet error: {$json.error.message}\"\n },\n \"id\": \"40ba60ac-f1dd-4440-9339-3ec56db3532e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "JSON to Sheet", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Keyword Rank Checker?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Keyword Rank Checker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Keyword Rank Checker\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d00aa5cd-2981-4071-84fc-e3de476eb2b2\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"keyword-rank-checker\"\n },\n \"id\": \"972f3da6-471e-44eb-a9f5-0466549f6b15\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f791b601-16df-43af-9143-de71bb580fc3\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f86574e7-b2df-4d40-8584-22358a65ac1b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"keyword_rank_checker\",\n \"mode\": \"list\",\n \"cachedResultName\": \"keyword_rank_checker\"\n }\n },\n \"id\": \"4b633ac2-3e70-4ff3-abc1-98be488a7947\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"keyword_rank_checker\",\n \"mode\": \"list\",\n \"cachedResultName\": \"keyword_rank_checker\"\n }\n },\n \"id\": \"870105c9-1129-4898-a4bb-3324bd44925e\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"01144960-9194-4d3b-838a-7e173be01ab1\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7dfa5c62-a11b-45fc-8bce-65501cd3e82e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"97a934f6-419d-4215-b387-177c5bccfd38\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Keyword Rank Checker':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Keyword Rank Checker\"\n }\n },\n \"id\": \"1795a245-6b80-4c82-95b3-06c0401489e1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Keyword Rank Checker\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"c8c6865f-915d-4009-8d0a-0905cc78cb55\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Keyword Rank Checker error: {$json.error.message}\"\n },\n \"id\": \"01d3638c-42b4-4973-aef8-73590c69fa0e\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Keyword Rank Checker", "node_count": 12, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for low stock discord", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Low Stock Discord\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Low Stock Discord\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"b8ef13db-322d-4720-aaf3-7721bd8e6e80\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"low-stock-discord\"\n },\n \"id\": \"f991c8e6-2992-48db-81d5-a42231e624c4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"9cd9834a-143e-41da-b019-cc49c5989d93\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"0966b81f-85e9-4607-859d-62634d769406\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"low_stock_discord\",\n \"mode\": \"list\",\n \"cachedResultName\": \"low_stock_discord\"\n }\n },\n \"id\": \"8614a99c-b543-4390-ba45-2a96ca1e63c3\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"low_stock_discord\",\n \"mode\": \"list\",\n \"cachedResultName\": \"low_stock_discord\"\n }\n },\n \"id\": \"53da28ef-3686-439d-938e-39d996c9ba6c\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"56126f8f-464f-4a1c-aed0-6b1e8769d079\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b74a3d7a-f381-4097-8f4e-f5c8747191f1\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"9cb002e3-f7e7-4a40-a949-6e0c3ce85038\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Low Stock Discord':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Low Stock Discord\"\n }\n },\n \"id\": \"b4a5efd2-c5c3-4bc2-a91c-45398ee7fc6c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Low Stock Discord\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2fb9d0e8-6181-40b5-a98b-d4089226c5c7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Low Stock Discord error: {$json.error.message}\"\n },\n \"id\": \"9430d717-9c59-41ef-81d1-d148720f9fd0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Low Stock Discord", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Medication SMS Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Medication SMS Reminder\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e375f277-fe00-4b84-9ea1-e857a74bbae2\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"medication-sms-reminder\"\n },\n \"id\": \"4c5aa5e0-752e-48f0-ae94-be8888892e7d\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7cd06a1f-b407-4b53-8061-a53487bbfffa\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"738d34ba-e6b6-4e3a-9248-ef1f4818c3ba\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"medication_sms_reminder\"\n },\n \"id\": \"a3f0b3e4-fc10-483f-ba86-f538f8519828\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"medication_sms_reminder\"\n },\n \"id\": \"3e00b69e-4134-4228-a940-4007fe485227\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fcba2e14-0747-4adb-903d-a2965f7279ba\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c85c12f3-bb6b-4783-bc85-f7b25e195654\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ae92f4c9-30d7-40c8-858b-3ac32a9e84cb\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Medication SMS Reminder':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Medication SMS Reminder\"\n }\n },\n \"id\": \"8d120bef-6619-4313-8b3b-2739626f4d4b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Medication SMS Reminder\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"55d8515a-e6d8-4338-82a8-6bc053f4b81a\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Medication SMS Reminder error: {$json.error.message}\"\n },\n \"id\": \"0c856440-0210-4401-8a19-4e3033cda466\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Medication SMS Reminder", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to notion api update", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Notion API Update\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Notion API Update\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"f6eedc53-53fe-45e3-be02-ee32b2bc2548\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"notion-api-update\"\n },\n \"id\": \"97e8e13c-6fe1-4756-83fe-f3106f99b4bd\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b4faac7a-fac8-49c6-b6e9-105dc0097ef0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"8bfcea9f-6dee-4038-a2d1-7f2c8b8368b6\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"notion_api_update\"\n },\n \"id\": \"4fb1d720-e915-4a9f-8697-3349b879a922\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"notion_api_update\"\n },\n \"id\": \"316f1a80-040b-480e-bfbe-c54cfd217db5\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"839a9f23-7777-47ca-acc7-2aab8bec04a5\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6280048e-4689-4f3b-a73d-2ab89e73f02a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"46ef3d02-55d4-4733-8b2e-8494a20c30d7\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Notion API Update':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Notion API Update\"\n }\n },\n \"id\": \"f2b616b4-b278-49c6-93ed-9cd28ed91d31\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Notion API Update\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"0d8f0c1f-a667-4b44-befd-36b2b2fd162d\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Notion API Update error: {$json.error.message}\"\n },\n \"id\": \"ce94609f-2f12-4f5c-8900-6cdca74e0284\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Notion API Update", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Onboarding Checklist Slack?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Onboarding Checklist Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Onboarding Checklist Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"47baf67d-8d9c-4ff2-a315-52b5044d77de\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"onboarding-checklist-slack\"\n },\n \"id\": \"a5a701dc-07df-4876-9e7f-2686ed66a383\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"713d5ed4-d517-4823-a61c-9700a342b20a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"eaa8c182-8035-46fe-a91d-49ffee0a2f0c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"onboarding_checklist_slack\"\n },\n \"id\": \"96bc3a2d-ef03-417a-b967-7c174604b874\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"onboarding_checklist_slack\"\n },\n \"id\": \"736e3e0d-6670-4a38-977e-73983e7915e0\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"0b422760-05ca-45e8-9335-3349187c8041\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e493bfbf-0966-41f4-a49f-19e2496047e0\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"97e21be6-5b77-49da-beda-189f5cd592d4\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Onboarding Checklist Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Onboarding Checklist Slack\"\n }\n },\n \"id\": \"b40c8009-ff84-477c-a34d-700d13ffbfe2\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Onboarding Checklist Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2d5166e2-784a-4b23-86a9-7b8b61a4ca32\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Onboarding Checklist Slack error: {$json.error.message}\"\n },\n \"id\": \"e6265a5d-a893-4177-9e00-28566cd1f6ee\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Onboarding Checklist Slack", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Order Shipped Notification\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Order Shipped Notification\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"102b6df3-b365-4011-bc03-6098a0d8540e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"order-shipped-notification\"\n },\n \"id\": \"896137be-72ad-4c60-a0cc-b359c2d44c32\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7d4a82a1-7d85-4fe7-82fd-6e9e4543892f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f54b009b-fdd7-4011-9c0f-4fb96cc06f89\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"order_shipped_notification\"\n },\n \"id\": \"640b4f5d-ec09-401f-a4f7-35876eaad13a\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"order_shipped_notification\"\n },\n \"id\": \"a712e417-fe97-4925-9efd-45b6a1b519e6\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"26933929-0a50-4cd5-8562-17facb37189e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7e5737f4-be56-4d49-9633-9a2769557480\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"337be036-25ad-4a52-9fc5-4b903fc20204\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Order Shipped Notification':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Order Shipped Notification\"\n }\n },\n \"id\": \"1be7b3f2-baf8-4425-af25-3b678718acfb\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Order Shipped Notification\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"fed26820-aefe-4c14-8d7d-2e16a103390e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Order Shipped Notification error: {$json.error.message}\"\n },\n \"id\": \"f665c2f3-d7ea-4c12-b594-33f39318e5f0\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Order Shipped Notification", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Podcast Transcribe Publish\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Podcast Transcribe Publish\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"3250caac-c551-4414-b771-045d05335b65\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"podcast-transcribe-publish\"\n },\n \"id\": \"4dc05fc9-9cb6-4a65-ad69-9a0af7f01e02\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e6f71afd-8a8e-44c7-857d-03ce2f44e66d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"7d411532-cd9d-4d91-880f-b160c5ef09b2\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"podcast_transcribe_publish\",\n \"mode\": \"list\",\n \"cachedResultName\": \"podcast_transcribe_publish\"\n }\n },\n \"id\": \"954c0ec8-e81a-4a99-b3f6-f80615cbdc67\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"podcast_transcribe_publish\",\n \"mode\": \"list\",\n \"cachedResultName\": \"podcast_transcribe_publish\"\n }\n },\n \"id\": \"fa7eda42-a53e-4422-869f-72004b06f591\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"9b9630dc-0c39-4113-95dd-f9a14297a3d4\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f55acb08-a56c-4bf1-9652-8e71c1b1de6b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"ce0a13aa-2923-41c8-bf08-ab52781f18af\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Podcast Transcribe Publish':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Podcast Transcribe Publish\"\n }\n },\n \"id\": \"d98e5674-0c59-4c03-a132-cec3b31e4021\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Podcast Transcribe Publish\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"a1695c17-da29-4ab4-bcbf-3fb089bc71b4\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Podcast Transcribe Publish error: {$json.error.message}\"\n },\n \"id\": \"719f63b1-9c41-4fb5-a0f6-7ad43ed6e3d9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Podcast Transcribe Publish", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"PR Merged QA Notify\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: PR Merged QA Notify\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"61da6a3d-ed28-4145-ad22-3a458684706e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"pr-merged-qa-notify\"\n },\n \"id\": \"a5e13a39-aede-46c1-983d-b1308aa2af8e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"528f58ea-f2fb-4535-9276-4a3fc9b22234\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"865827a0-826d-42c2-aa29-d671856ac7a5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"pr_merged_qa_notify\",\n \"mode\": \"list\",\n \"cachedResultName\": \"pr_merged_qa_notify\"\n }\n },\n \"id\": \"85947f4a-c12f-4762-adcf-14803b295ec7\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"pr_merged_qa_notify\",\n \"mode\": \"list\",\n \"cachedResultName\": \"pr_merged_qa_notify\"\n }\n },\n \"id\": \"1cc89e6b-684e-400f-af90-21a03d5e655a\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"941e79fa-7702-4da0-9751-87c1f084939e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"dade008a-5f65-455b-bfea-a753f7660c1c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"d19a0335-d41f-496d-b2be-def94eba688e\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'PR Merged QA Notify':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for PR Merged QA Notify\"\n }\n },\n \"id\": \"0d91b02f-3e72-4411-9a78-8edebafc6e89\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"PR Merged QA Notify\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e890dbeb-aecd-498f-95cf-4a3e50e52986\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"PR Merged QA Notify error: {$json.error.message}\"\n },\n \"id\": \"605ca1e7-fdcb-4af7-88bb-fbab52f29ef9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "PR Merged QA Notify", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Price Update Google Sheet", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Price Update Google Sheet\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Price Update Google Sheet\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"f3d6c335-fb6d-4c4a-8ac0-ccb129e29942\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"price-update-google-sheet\"\n },\n \"id\": \"f94f069c-11c3-4281-8363-6143ab7d8337\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"be6adfed-ae72-4bf6-ab77-932134c3c357\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"34dd45c7-5971-4417-922e-861b45772f9e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"price_update_google_sheet\"\n },\n \"id\": \"d9a146d9-c5ff-42b3-a92f-65385c6cb8c4\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"price_update_google_sheet\"\n },\n \"id\": \"7e074789-1e7e-4285-9a25-ec3915715115\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4c5a9833-b4da-47db-825e-27ec760c2ef3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3abb71e4-2a79-4072-8bef-64eea7d0718b\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"67055632-9263-459a-acf9-a578009611d6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Price Update Google Sheet':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Price Update Google Sheet\"\n }\n },\n \"id\": \"196fb37e-f887-4265-a5ee-a688df670ce0\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Price Update Google Sheet\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2bf8dbc5-1f61-4be9-b422-b422509cf571\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Price Update Google Sheet error: {$json.error.message}\"\n },\n \"id\": \"bd2a2057-11a1-4297-b119-8926dd9e3716\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Price Update Google Sheet", "node_count": 12, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to record crypto prices", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Record Crypto Prices\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Record Crypto Prices\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"33fd92b4-df59-448f-995b-42c96db9ab1d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"record-crypto-prices\"\n },\n \"id\": \"979c1efe-0dfc-4ed9-9490-d7fb951553bd\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"8ed3bce0-7f2c-4675-9f9f-8e15834d4b09\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"8cecb33f-8415-449f-ad0e-0ffbf5c89806\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"record_crypto_prices\"\n },\n \"id\": \"0df6f3cb-994a-40cf-bb8e-0f656791676b\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"record_crypto_prices\"\n },\n \"id\": \"b77ba910-a3b2-41fb-809a-f8e7019d7386\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"39b77868-e3e7-4e3b-a267-7e7a0cf4861c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7563f32a-87c1-496e-9599-c3f1e87c9314\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"852da90d-bfe7-4ce1-aaf8-eb7f7c287906\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Record Crypto Prices\"\n }\n },\n \"id\": \"362d8fb2-07fb-4ad0-8e85-3a88eab2df6b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Record Crypto Prices\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"35819836-2d6e-4e92-9d02-df466443b2ed\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Record Crypto Prices error: {$json.error.message}\"\n },\n \"id\": \"51450e2f-fc86-497d-a66a-636b5d24fee1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Record Crypto Prices", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Return Ticket Assignment?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Return Ticket Assignment\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Return Ticket Assignment\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"cbf21ee8-16ca-407f-a884-b0526e4a2eb1\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"return-ticket-assignment\"\n },\n \"id\": \"7c5bb0f6-8671-4667-836c-1500b9ce84fc\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0de0f19b-17ba-486a-a671-12112ba4de71\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"ab8bfdd4-5f61-41a9-bed3-ffdf8f5d5db1\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"return_ticket_assignment\"\n },\n \"id\": \"368b46e7-74fe-416b-9777-16cf44229b82\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"return_ticket_assignment\"\n },\n \"id\": \"a8bd3df3-542b-45cd-b8f0-ec90890e6fec\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"aaacc9b7-0890-45a6-8fed-5536818481e1\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ec45d993-1d63-4f02-87b6-69463dad4993\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"0a9ff85c-45c7-444d-a5a3-746727f1ca74\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Return Ticket Assignment':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Return Ticket Assignment\"\n }\n },\n \"id\": \"f00a1845-2a8f-4e61-859b-dfd99c63fa83\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Return Ticket Assignment\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e9883d8f-0e72-4eeb-b27b-e337525028e4\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Return Ticket Assignment error: {$json.error.message}\"\n },\n \"id\": \"26cf514c-271c-48ca-aa4d-07b5ce29bbdf\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Return Ticket Assignment", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to rss headlines slack", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"RSS Headlines Slack\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: RSS Headlines Slack\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"eef04ed8-9911-437e-a4de-a97bb4008584\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"rss-headlines-slack\"\n },\n \"id\": \"9a8d1358-96d4-4234-a729-4e0e4ced17f3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b65c9914-f17c-40e3-b297-4829b6ca48c0\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"794ba230-95a3-4309-ab88-e048833c8f32\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"rss_headlines_slack\",\n \"mode\": \"list\",\n \"cachedResultName\": \"rss_headlines_slack\"\n }\n },\n \"id\": \"121535eb-291a-43da-beef-22fb7b8e61e2\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"rss_headlines_slack\",\n \"mode\": \"list\",\n \"cachedResultName\": \"rss_headlines_slack\"\n }\n },\n \"id\": \"1007022a-f3f8-45e0-a172-3a722ef55013\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"45bba375-133f-4e21-b3f5-44129052232c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4260b8fd-8881-4c50-8d0c-ec3ff10dd94e\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5dc099ae-249d-409d-acf2-1f6a50ecc270\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'RSS Headlines Slack':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for RSS Headlines Slack\"\n }\n },\n \"id\": \"f799ca8c-9622-4a74-b21a-6c84c8ec458a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"RSS Headlines Slack\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"24e74dce-aaf5-48d8-abd9-4a052dbb378c\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"RSS Headlines Slack error: {$json.error.message}\"\n },\n \"id\": \"b225130c-f97e-4652-baac-a2afd1049a9d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "RSS Headlines Slack", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Server Health Grafana\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Server Health Grafana\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"d2ba1e2d-bcbc-45e4-bd37-73668fce5802\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"server-health-grafana\"\n },\n \"id\": \"eb7fca76-66e2-4fa1-ab00-09b4c0817961\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7db01be8-61d6-4c89-9800-db7b62eb7fcf\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"66a0f30e-32ee-4ef3-823c-82b4a1af354c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"server_health_grafana\"\n },\n \"id\": \"6ea57ca4-3426-4820-a293-78565186c35e\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"server_health_grafana\"\n },\n \"id\": \"443a366d-7547-4bda-b066-91fb43d60aed\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"fdbc5d42-f717-414e-a775-235a0de386e9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"48c210ef-2004-4ef4-b2f9-d2dab2f5d391\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"86681bd5-9377-4348-a411-caf2a0b9887b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Server Health Grafana':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Server Health Grafana\"\n }\n },\n \"id\": \"78773e49-4558-4ec1-a740-adfd2f177a9f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Server Health Grafana\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"77eccce3-bf9e-4d3a-9262-820db8faaeec\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Server Health Grafana error: {$json.error.message}\"\n },\n \"id\": \"2f5f6b7a-45d8-4f54-8b06-af95c6032926\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Server Health Grafana", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Starred Slack To Notion?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Starred Slack to Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Starred Slack to Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"3394fb98-3259-414f-bc1e-a478f9bb48ce\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"starred-slack-to-notion\"\n },\n \"id\": \"634c2549-c8a7-4ed6-9f8f-286ac52e728e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"496b5b4a-59fb-48d9-834c-8e43123d4f40\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"86d40b9f-1b53-4751-a02f-6fc7cda4543c\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"starred_slack_to_notion\"\n },\n \"id\": \"d83c9acd-dd15-4965-b024-51acdea5d1be\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"starred_slack_to_notion\"\n },\n \"id\": \"41eed679-dece-4a2c-96ea-8a97076c3429\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"efc47245-60b6-4692-84aa-1a2a0c0c1324\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1c9592de-238c-492a-9a0c-87390d366956\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"eab396da-9252-4a29-964c-0aa3abac4044\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Starred Slack to Notion':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Starred Slack to Notion\"\n }\n },\n \"id\": \"103d9ff8-a291-46fc-aa5b-fbdef7f6c61d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Starred Slack to Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"0af20245-042c-4192-beb1-915218f01f11\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Starred Slack to Notion error: {$json.error.message}\"\n },\n \"id\": \"a765761c-52d0-4e72-a26f-9fd514a9a2b1\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Starred Slack to Notion", "node_count": 12, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to survey auto analyze", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Survey Auto Analyze\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Survey Auto Analyze\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e57a6111-23c7-46fc-8321-8cb81c12e0ff\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"survey-auto-analyze\"\n },\n \"id\": \"69582a00-cb89-4618-9181-ed5c900b5d37\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"38c659ff-d227-436b-ace0-e8f19d04be21\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"7e5e5bb2-b8ac-410a-8daa-41d994652f61\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"survey_auto_analyze\",\n \"mode\": \"list\",\n \"cachedResultName\": \"survey_auto_analyze\"\n }\n },\n \"id\": \"01a6fea8-0a4f-4a2b-941c-95f1fd7c7f87\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"survey_auto_analyze\",\n \"mode\": \"list\",\n \"cachedResultName\": \"survey_auto_analyze\"\n }\n },\n \"id\": \"c81e7845-06d4-4653-aa6f-c8f86c47ed5b\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"d7ee429c-5e5a-4fc1-aaa5-5487bade9563\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c420b709-36dd-41f0-877e-776b99b5bb7c\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"b184a9f5-b15c-4870-9484-4d7645bb0fb5\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Survey Auto Analyze':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Survey Auto Analyze\"\n }\n },\n \"id\": \"9b3a3954-60fa-4819-8dd1-9f7dfb9753f1\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Survey Auto Analyze\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"349b2a7a-e0c7-4629-83d5-42656bb34486\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Survey Auto Analyze error: {$json.error.message}\"\n },\n \"id\": \"304fd227-5d2b-4dd6-9ddc-1f79adc5aade\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Survey Auto Analyze", "node_count": 12, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Toggl Daily Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Toggl Daily Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"90116b46-a456-448a-9dda-333b3688f86c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"toggl-daily-report\"\n },\n \"id\": \"3fbc7512-72c5-46c4-bd02-573c27d029f1\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e5106852-2d61-4bdd-bbfb-53ca2517555d\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"1118d7ea-3e7d-411f-85e8-ad0de51c3e88\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"toggl_daily_report\",\n \"mode\": \"list\",\n \"cachedResultName\": \"toggl_daily_report\"\n }\n },\n \"id\": \"7b34c0e1-07d7-4488-b794-7d394b5fab7b\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"toggl_daily_report\",\n \"mode\": \"list\",\n \"cachedResultName\": \"toggl_daily_report\"\n }\n },\n \"id\": \"506ba0dd-a095-4a85-8d63-36b7fbae2fbf\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1683b741-68d8-45fd-a976-4cc8ef37a47a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e8d33ed2-1eba-427d-a874-e9b3b32d2b49\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"e3f9ca1d-92c7-41f5-8da1-0855273f5dd3\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Toggl Daily Report':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Toggl Daily Report\"\n }\n },\n \"id\": \"4b343b9b-415f-4f66-b7dd-c7efb87ac836\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Toggl Daily Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"2d657857-6a0c-48ff-9f2f-edcaffa10f0e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Toggl Daily Report error: {$json.error.message}\"\n },\n \"id\": \"9747b5e6-d32e-4038-aa7f-620f9e5ff58f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Toggl Daily Report", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for unsplash to pinterest", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Unsplash to Pinterest\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Unsplash to Pinterest\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"8da48de7-ef4d-4d78-8c0e-3c6b57ef3b9a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"unsplash-to-pinterest\"\n },\n \"id\": \"672c0eab-878f-484d-a072-9482935437c4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"87553792-b816-44e2-ac2f-64d0f9a5adf5\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"d8a5b9d0-b59f-49d2-9b1c-99149dd6d71b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"unsplash_to_pinterest\"\n },\n \"id\": \"6f194f04-7764-4a60-a36a-027d5c1410f7\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"unsplash_to_pinterest\"\n },\n \"id\": \"9f1eabc4-1dfe-4271-94e3-e1ec9b402828\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"20fe470d-efef-462c-8641-13589cf31512\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e9979d17-c88a-4964-81d8-c5508f03d709\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"e3ac4cbe-35ee-48d3-bb1d-f840f6ee1b77\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Unsplash to Pinterest':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Unsplash to Pinterest\"\n }\n },\n \"id\": \"8b13c89e-4f09-4e5a-9ef9-bcea4bc692de\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Unsplash to Pinterest\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"d273d2ef-dd98-4e0d-a03f-77e5d22e772e\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Unsplash to Pinterest error: {$json.error.message}\"\n },\n \"id\": \"8cddb37e-ed6a-4ad5-a88e-e2b393f07114\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Unsplash to Pinterest", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "Build a workflow for: Voice Task To Notion", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Voice Task to Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Voice Task to Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"788c7113-8566-49c8-b7af-3313f57a479c\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"voice-task-to-notion\"\n },\n \"id\": \"aaf99a8a-1412-455a-97ed-f853121f366f\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"917142f0-7738-4fde-b862-b763463248a6\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"b17227b4-2631-41f6-bc3b-45ca977de46a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"voice_task_to_notion\"\n },\n \"id\": \"7f0fa79f-e276-4a66-8120-66e94ba4c045\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"voice_task_to_notion\"\n },\n \"id\": \"a9a11174-df20-483b-85fd-d9126b715aca\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"b337a057-1ccd-46d1-9d44-ee1512a8c5cd\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ca6d53a5-1b46-43c4-8dfa-86e38c115898\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"69538d38-2f88-41bb-ad85-3370afbbc873\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Voice Task to Notion':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Voice Task to Notion\"\n }\n },\n \"id\": \"f1388a0a-3d58-4291-8538-f82000579f4c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Voice Task to Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"b92d452b-d59b-4177-a4fa-4985b33bdb44\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Voice Task to Notion error: {$json.error.message}\"\n },\n \"id\": \"ea200b2e-d1ad-45e5-9d39-4b502e4f6f86\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Voice Task to Notion", "node_count": 12, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for weekly notes backup", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weekly Notes Backup\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Weekly Notes Backup\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"09f96970-f5ea-401a-bf0b-0035b1ae502a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weekly-notes-backup\"\n },\n \"id\": \"0cf773d3-bb5a-467b-8059-746735a95815\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"34029e24-83b2-4e0d-afe4-52510a3c20e4\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"0318220f-be7c-43ff-8b23-01bc841d6160\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"weekly_notes_backup\"\n },\n \"id\": \"b6c46a40-013a-45fc-b942-614ea6a9077b\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"weekly_notes_backup\"\n },\n \"id\": \"d154672e-8623-47e1-bd2f-eb50df358f3e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"5e598772-1a0b-4afb-8fcd-4339843923c0\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0d9605c9-b48d-4509-b542-5b671f4c5609\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"94e7ea25-d825-4729-ad5a-b9a545f7fc43\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Weekly Notes Backup':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Weekly Notes Backup\"\n }\n },\n \"id\": \"4497ea3b-8f08-4db2-a18a-c0d2e2d4c1f4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Weekly Notes Backup\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"e91c44c2-ae2f-4c8b-a49c-86b529efb775\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Weekly Notes Backup error: {$json.error.message}\"\n },\n \"id\": \"49273683-737d-48b5-bf48-48d3233437f8\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weekly Notes Backup", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Woo Order Mailchimp?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Woo Order Mailchimp\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Woo Order Mailchimp\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"0dd507e4-f32b-4c4c-85d9-26316c63c0e0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"woo-order-mailchimp\"\n },\n \"id\": \"42aa0b71-1c9f-48d7-b339-94919de26da1\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"38bd53d5-c599-45cb-bd28-f52fe513a687\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"fbb0666b-b845-4490-ad86-25713c97a122\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"woo_order_mailchimp\"\n },\n \"id\": \"d85253d5-b3b8-452b-8153-996f7b6c9bca\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"woo_order_mailchimp\"\n },\n \"id\": \"6cefb367-4cde-4c48-bdb8-c90ecc5215fc\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"356012ed-5c87-4b07-8ddb-e0afe3c3faec\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"12fd721e-e3f6-4f61-a709-2b4c9821e373\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a16d1695-9c1a-40f7-86a9-99b081045a20\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Woo Order Mailchimp':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Woo Order Mailchimp\"\n }\n },\n \"id\": \"10ea4d67-7ee6-466f-b8c9-5847177d478a\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Woo Order Mailchimp\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"fb5c5c60-aa5d-40fb-aeed-e6a47f4bc030\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Woo Order Mailchimp error: {$json.error.message}\"\n },\n \"id\": \"d54c4d1f-2ce2-431d-8a37-2f2e6d23f6da\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Woo Order Mailchimp", "node_count": 12, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for zoom attendance log", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Zoom Attendance Log\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Zoom Attendance Log\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"30425599-20bc-4cab-84fb-a97a7d936dd8\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"zoom-attendance-log\"\n },\n \"id\": \"40e28ff7-25fe-4260-9dff-fc7b0fb83b9e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"0ebd915f-62ad-4a37-ae47-94a492b82d74\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"97982daf-72b3-4c42-aea3-e33642422cfd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"zoom_attendance_log\"\n },\n \"id\": \"092e9417-d39a-407f-8c39-2bc28184c6ea\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"zoom_attendance_log\"\n },\n \"id\": \"93de8859-cdbb-4783-9706-5696e8ba6876\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"a729203a-897a-4851-a525-8291cf9589dd\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"38493122-32dc-4b8e-b56f-53f6837c0d7a\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"68814235-d4fc-4c02-b9ba-776e84284e5a\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Zoom Attendance Log':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Zoom Attendance Log\"\n }\n },\n \"id\": \"ea407af4-b883-4fc3-84df-3c04e885c01c\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Zoom Attendance Log\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"ccf323a1-9823-458d-ac99-44cbe2ec704c\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Zoom Attendance Log error: {$json.error.message}\"\n },\n \"id\": \"f15f021b-938c-4521-86ff-648a8169309f\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Zoom Attendance Log", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Build a workflow for: Morning Briefing Email", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Morning Briefing Email\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Automated workflow: Morning Briefing Email\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"290fb569-25f2-4464-8d96-bab3c4cb3276\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"morning-briefing-email\"\n },\n \"id\": \"13727821-7b64-46b6-96bd-7b97dd43d06e\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b0725ca4-2727-4201-a9bd-cb219ff1508f\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"af97f001-e5ea-49fb-ac6b-b2d30730c3e8\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"morning_briefing_email\"\n },\n \"id\": \"63c51bdb-fbd9-43a9-bacf-f5c6d39aedb3\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"morning_briefing_email\"\n },\n \"id\": \"8304ff6a-c852-4c49-895c-00ac13314028\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e330bfdb-576e-44d1-b8cf-73a829b898e3\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ab1dd014-0dc8-4635-9dad-f728310f2b86\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"6320a7d3-7bc0-47cf-9052-43a60ad9ae28\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Process the following data for task 'Morning Briefing Email':\\n\\n{{ $json }}\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Morning Briefing Email\"\n }\n },\n \"id\": \"f0c605d8-4612-4402-80ee-ae9e9d05044d\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Morning Briefing Email\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Status\": \"={{$json[\\\"RAG Agent\\\"].text}}\"\n },\n \"schema\": []\n }\n },\n \"id\": \"101334a4-b2d6-4095-b095-f0934b2f17af\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Morning Briefing Email error: {$json.error.message}\"\n },\n \"id\": \"7e567cd3-ecc8-4b95-80e4-a9a8a12de770\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Morning Briefing Email", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Airbnb Guest Assistant?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 26\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolSerpApi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.memoryZep, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Airbnb Guest Assistant\",\n \"nodes\": [\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5c8d2013-4bb8-476b-84a3-4b2ddea3e569\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 640,\n 360\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"042a2eee-5990-4018-88eb-de3b2955897d\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 1660,\n 360\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"root\",\n \"cachedResultName\": \"/ (Root folder)\"\n },\n \"options\": {}\n },\n \"id\": \"a96ced6d-426f-48aa-b174-eb3a64332671\",\n \"name\": \"Google Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n -160,\n 780\n ],\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"vBDzrDMXMNFgtVf9\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"download\",\n \"fileId\": {\n \"__rl\": true,\n \"value\": \"https://drive.google.com/file/d/1Ce2evOt4kIxYgCIIWOTKjDYw_TEwwhtq/view?usp=drive_link\",\n \"mode\": \"url\"\n },\n \"options\": {\n \"binaryPropertyName\": \"data\",\n \"googleFileConversion\": {\n \"conversion\": {\n \"docsToFormat\": \"text/plain\"\n }\n }\n }\n },\n \"id\": \"071ab689-351e-45d7-96e0-828ac0b92f3b\",\n \"name\": \"Get File Content\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 60,\n 780\n ],\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"vBDzrDMXMNFgtVf9\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"dc21a412-1967-4ad7-8484-ccf379632da8\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"typeVersion\": 1,\n \"position\": [\n 600,\n 1000\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 500,\n \"chunkOverlap\": 50\n },\n \"id\": \"3e3b38e8-89a1-4292-b254-9aa347bf6c02\",\n \"name\": \"Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n 600,\n 1180\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"text\",\n \"options\": {}\n },\n \"id\": \"24aff186-ef93-4a34-9adc-30a194a15abb\",\n \"name\": \"Extract from File\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"typeVersion\": 1,\n \"position\": [\n 280,\n 780\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"cb079d86-a333-4073-aede-d4cf4fcd02fb\",\n \"name\": \"Embeddings OpenAI1\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 440,\n 1000\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"content\": \"## Tool to Add a Google Drive File to Vector DB\",\n \"height\": 661.3783861449286,\n \"width\": 1290.2441524753906,\n \"color\": 5\n },\n \"id\": \"a759b89e-8bd7-4a95-80bd-2f77e033de13\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -340,\n 680\n ]\n },\n {\n \"parameters\": {\n \"content\": \"## RAG AI Agent with Chat Interface\",\n \"height\": 711.4232611135845,\n \"width\": 1905.0323056629377\n },\n \"id\": \"be50a82b-531d-4d4b-94f0-93bb6002032a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -40,\n -40\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"639a52f5-5ed6-4d89-8cb4-58c26be2e1e9\",\n \"name\": \"Embeddings OpenAI2\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 1160,\n 500\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"PHFKmuDYWAWJyAHe\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"this is the vector database that contains the property info faq and answers. use this first to look for answers.\"\n },\n \"id\": \"0613d2e7-09d6-41be-8e31-87183e20a153\",\n \"name\": \"Vector Store Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 1340,\n 200\n ]\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"air12\",\n \"mode\": \"list\",\n \"cachedResultName\": \"air12\"\n },\n \"options\": {}\n },\n \"id\": \"665c3869-9ce5-4941-a1cd-d03987821328\",\n \"name\": \"Pinecone Vector Store1\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 1300,\n 380\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"ooxyNJwHOsFoFU7W\",\n \"name\": \"PineconeApi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"air12\",\n \"mode\": \"list\",\n \"cachedResultName\": \"air12\"\n },\n \"options\": {}\n },\n \"id\": \"63c508e7-c75d-4412-a8c5-71ae1b3ba685\",\n \"name\": \"Pinecone Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 540,\n 780\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"ooxyNJwHOsFoFU7W\",\n \"name\": \"PineconeApi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"public\": true,\n \"initialMessages\": \"Hi there! 👋\\nMy name is FiFi. How can I assist you today?\",\n \"options\": {}\n },\n \"id\": \"f13700d2-ec9e-4b26-8d56-7b010f07d676\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"typeVersion\": 1.1,\n \"position\": [\n 80,\n 300\n ],\n \"webhookId\": \"057f6fe7-e865-42b6-9020-8cc759271eb9\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"d4b513c8-c4a4-4441-ae0d-35cc29240ce0\",\n \"name\": \"sessionId\",\n \"value\": \"={{ $json.sessionId }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"id\": \"5a74cb47-fbe2-4bae-843c-1b3c19142f05\",\n \"name\": \"Captures session id\",\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 380,\n 220\n ]\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $('When chat message received').item.json.chatInput }}\",\n \"options\": {\n \"systemMessage\": \"CURRENT_TIME: {{$json[\\\"timestamp\\\"]}}\\nCURRENT_DATE: {{$json[\\\"formattedDate\\\"]}}\\n\\nYou are a happy and friendly AI assistant for an Airbnb property located at 3009 Grant St., Concord, CA. You are aware of the current date and time shown above.\\n\\nDATA SOURCES:\\n1. ALWAYS check Pinecone database first for answering questions.\\n2. Use SerpAPI only for location/nearby place queries\\n3. NEVER reference the Zep chat memory for answers. \\n\\nTONE:\\nMaintain a warm, friendly, and conversational tone. Use positive and encouraging language, and show empathy when users are frustrated. Keep explanations simple.\\n\\nTERM MATCHING:\\nBefore searching the database, match these variations to the same term:\\n- check in, check-in, checkin → \\\"check-in\\\"\\n- check out, check-out, checkout → \\\"check-out\\\"\\n- wifi, wi-fi, wi fi → \\\"WiFi\\\"\\n- hot tub, hottub, hot-tub → \\\"hot tub\\\"\\n- tv, t.v., television → \\\"TV\\\"\\n\\nSPECIAL RESPONSES:\\n1. For check-in queries: ALWAYS include both time (2 pm) and access code (5555)\\n2. For check-out queries: ALWAYS include both time (12 pm) and closing instructions\\n3. For WiFi queries: ALWAYS include the password\\n4. For amenity queries: ALWAYS include both instructions and link\\n\\nAMENITY LINKS:\\nWhen these items are mentioned, include their link:\\n- TV Remote: [Click here for TV Remote instructions](https://bit.ly/420GR7T)\\n- Hot Tub: [Click here for Hot Tub instructions](https://www.youtube.com/watch?v=vzcO-MvpPks)\\n- Ceiling Fan: [Click here for Ceiling Fan instructions](https://drive.google.com/file/d/1rCvGnm7wJT1dCd60RlEnW6DhcwvWVpOu/view?usp=sharing)\\n- Thermostat: [Click here for Thermostat instructions](https://www.youtube.com/watch?v=cD4ZVG3C7As)\\n- Oven: [Click here for Oven instructions](https://drive.google.com/file/d/1bgUF8Dffo5_E7hv_MFl1TQ1q84fpMJz8/view?usp=drive_link)\\n\\nRESPONSE FORMAT:\\n\\n1. Provide the information from Pinecone's details field\\n2. If it's an amenity with a link, add:\\n \\\"For more information: [LINK]\\\"\\n3. For lists (like games), show each item on a new line with bullet points\\n\\nIF NO INFORMATION FOUND:\\n\\\"I don't have that information in our property database. Please contact the host, Gustavo Uribe, at 925-555-1234 for assistance.\\\"\\n\\nEXAMPLE RESPONSES:\\n\\nCheck-out query:\\n\\\"Based on our property database: Check-out time is 12 pm (noon). Please close all doors and windows, turn off the hot tub, and don't forget your chargers!\\\"\\n\\nHot tub query:\\n\\\"Based on our property database: To turn the hot tub on or off, lift the lever in the grey metal box next to the door. Adjust the jets and water temperature using the panel controls.\\n\\nFor more information: [Click here for Hot Tub instructions](https://www.youtube.com/watch?v=VJVpf6B8l84)\\\"\\n\\nBoard games query:\\n\\\"Based on our property database: A variety of board games and playing cards are located in the main living room closet. The available games are:\\n- Sorry\\n- Codenames\\n- Monopoly\\n- Scrabble\\\"\\n\\nSAFETY GUARDRAILS:\\n\\nAPPROPRIATE TOPICS:\\n\\n\\nOnly provide information directly related to the property, local attractions, and guest services\\nDefer personal or private questions about the host or other guests to the host contact number\\nDo not provide personal information about the host beyond the provided contact details\\nDo not provide information about security systems, cameras, or property vulnerabilities\\n\\n\\nLOCAL RECOMMENDATIONS:\\n\\n\\nOnly use SerpAPI to provide factual information about:\\n\\nRestaurants and dining\\nTourist attractions\\nShopping areas\\nParks and recreation\\nPublic transportation\\nEmergency services\\n\\n\\nDo not provide recommendations for:\\n\\nAdult entertainment\\nIllegal activities or substances\\nPrivate residences\\nNon-public locations\\n\\nEMERGENCY SITUATIONS:\\n\\n\\nFor medical emergencies: Direct guests to call 911\\nFor non-emergency maintenance issues: Provide host contact information\\nFor safety concerns: Direct to appropriate emergency services\\nNever attempt to provide medical, legal, or safety advice\\n\\n\\nINAPPROPRIATE REQUESTS:\\n\\nDecline requests for:\\n\\nAdditional guests beyond capacity\\nLate check-out without host approval\\nAccess to restricted areas\\nProperty modifications\\nHost's personal information\\nOther guests' information\\nSecurity system information\\n\\n\\nResponse for inappropriate requests:\\n\\\"I apologize, but I cannot assist with that request. Please contact the host, Gustavo Uribe, at 925-555-1234 for any special arrangements or concerns.\\\"\\n\\n\\nDISPUTE HANDLING:\\n\\nDo not engage in:\\n\\nPayment disputes\\nDamage claims\\nReservation modifications\\nGuest conflicts\\n\\n\\nDirect all such matters to the host or Airbnb support\"\n }\n },\n \"id\": \"ff860b0a-6d87-4f51-9352-a51853bd9599\",\n \"name\": \"RAG AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1.6,\n \"position\": [\n 900,\n 80\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.toolSerpApi\",\n \"typeVersion\": 1,\n \"position\": [\n 1060,\n 300\n ],\n \"id\": \"df63946f-426f-4484-aa4e-b4dae4ff6a26\",\n \"name\": \"SerpAPI\",\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"lsbBUPJ5EVjCl45d\",\n \"name\": \"SerpAPI account\"\n }\n }\n },\n {\n \"parameters\": {\n \"sessionIdType\": \"customKey\",\n \"sessionKey\": \"{{ $json.session_id || Math.random().toString(36).substring(2, 10) }}\"\n },\n \"type\": \"@n8n/n8n-nodes-langchain.memoryZep\",\n \"typeVersion\": 1.3,\n \"position\": [\n 840,\n 520\n ],\n \"id\": \"6fbfe3c1-bea5-459f-b2b6-586a59cae105\",\n \"name\": \"Zep\",\n \"credentials\": {\n \"zepApi\": {\n \"id\": \"TRvT6eCcKfl5vpOz\",\n \"name\": \"Zep Api account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"https://api.getzep.com/api/v2/sessions-ordered\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"zepApi\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"=Authorization\",\n \"value\": \"API-Key z_1dWlkIjoiZmRmMzI0ZDMtMWUyNy00OTI0LTgzZDQtYTQ4Yzc5MWVjYjc4In0.WSX3jgySGOVMlDdWa8P7dcqQ0t1nP3Pw-HIWY0rY7Z3k98hTotTitSDg2oV3-bbv1HSSDXKT5gj-HOcWyfuR8g\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2160,\n 880\n ],\n \"id\": \"c7953720-fd35-4b52-8a51-fdb5ec88ef20\",\n \"name\": \"HTTP Request\",\n \"credentials\": {\n \"zepApi\": {\n \"id\": \"TRvT6eCcKfl5vpOz\",\n \"name\": \"Zep Api account\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Parse the input data\\nconst data = JSON.parse($json.data);\\n\\n// Extract the sessions array\\nconst sessions = data.sessions || [];\\n\\n// Map the sessions array to extract only session_id\\nreturn sessions.map(session => {\\n return {\\n json: {\\n session_id: session.session_id\\n }\\n };\\n});\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n 2380,\n 880\n ],\n \"id\": \"dce5991a-f972-4f85-aa38-a350a651efb6\",\n \"name\": \"Code\"\n },\n {\n \"parameters\": {\n \"url\": \"={{$json[\\\"url\\\"]}}\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"zepApi\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"=Authorization\",\n \"value\": \"API-Key z_1dWlkIjoiZmRmMzI0ZDMtMWUyNy00OTI0LTgzZDQtYTQ4Yzc5MWVjYjc4In0.WSX3jgySGOVMlDdWa8P7dcqQ0t1nP3Pw-HIWY0rY7Z3k98hTotTitSDg2oV3-bbv1HSSDXKT5gj-HOcWyfuR8g\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2920,\n 880\n ],\n \"id\": \"ae84b765-9967-4ea1-922f-6866d0b3a1f9\",\n \"name\": \"HTTP Request1\",\n \"credentials\": {\n \"zepApi\": {\n \"id\": \"TRvT6eCcKfl5vpOz\",\n \"name\": \"Zep Api account\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Create dynamic URLs for each session ID\\nreturn items.map(item => {\\n return {\\n json: {\\n session_id: item.json.session_id,\\n url: `https://api.getzep.com/api/v2/sessions/${item.json.session_id}/memory`\\n }\\n };\\n});\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n 2640,\n 880\n ],\n \"id\": \"74f4922f-72a6-4dac-823a-9d2105b37186\",\n \"name\": \"Code1\"\n },\n {\n \"parameters\": {\n \"jsCode\": \"// Input is expected to contain multiple sessions, each with \\\"messages\\\" and \\\"facts\\\"\\n// Split sessions and structure the output\\n\\n// Simulate two sessions based on input data\\nconst sessions = [\\n {\\n session_id: \\\"Session 1\\\",\\n messages: [\\n {\\n uuid: \\\"937b7674-231a-4c4e-baa1-44dcf4727201\\\",\\n created_at: \\\"2024-12-18T22:52:30.849671Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"Human\\\",\\n role_type: \\\"user\\\",\\n content: \\\"where can i park?\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"cf67088c-925b-4fe8-a52c-d3b0a7782db0\\\",\\n created_at: \\\"2024-12-18T22:52:30.849671Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"AI\\\",\\n role_type: \\\"assistant\\\",\\n content: \\\"You’ve got parking options! 🚗 You can park in the driveway or find a spot on the street. Just remember, no parallel parking in your dreams! Happy parking!\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"718f25e3-0d0a-4c05-bc41-f4ea30780d77\\\",\\n created_at: \\\"2024-12-19T00:42:53.057886Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"Human\\\",\\n role_type: \\\"user\\\",\\n content: \\\"what are some good italian restaurants nearby\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"5e98aed7-d11a-47ff-ad7b-609fb26c0916\\\",\\n created_at: \\\"2024-12-19T00:42:53.057886Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"AI\\\",\\n role_type: \\\"assistant\\\",\\n content: \\\"Here are some delicious Italian restaurants nearby...\\\",\\n token_count: 0\\n }\\n ],\\n facts: [\\n \\\"The closet contains a variety of board games.\\\",\\n \\\"Board games are located in the closet.\\\",\\n \\\"Board games are perfect for a fun game night.\\\"\\n ]\\n },\\n {\\n session_id: \\\"Session 2\\\",\\n messages: [\\n {\\n uuid: \\\"8984547c-bc9d-4d75-81e7-bc6008a9e59b\\\",\\n created_at: \\\"2024-12-18T20:09:12.296453Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"Human\\\",\\n role_type: \\\"user\\\",\\n content: \\\"what pre-rolls do you have?\\\",\\n token_count: 0\\n },\\n {\\n uuid: \\\"5c3a19bb-b944-4156-a50b-827e97e93c14\\\",\\n created_at: \\\"2024-12-18T20:09:12.296453Z\\\",\\n updated_at: \\\"0001-01-01T00:00:00Z\\\",\\n role: \\\"AI\\\",\\n role_type: \\\"assistant\\\",\\n content: \\\"I'm sorry, but it seems I don't have the current information on available pre-rolls at the moment...\\\",\\n token_count: 0\\n }\\n ],\\n facts: [\\n \\\"AI suggests exploring other product types.\\\",\\n \\\"AI (assistant) currently has 'Edible - Cookies' available.\\\"\\n ]\\n }\\n];\\n\\n// Transform each session into an output item\\nreturn sessions.map(session => {\\n return {\\n json: {\\n session_id: session.session_id,\\n messages: session.messages, // Include all messages for the session\\n facts: session.facts // Include all associated facts\\n }\\n };\\n});\"\n },\n \"type\": \"n8n-nodes-base.code\",\n \"typeVersion\": 2,\n \"position\": [\n 3140,\n 880\n ],\n \"id\": \"61bea00e-9296-40a4-a03b-3625017fe27e\",\n \"name\": \"Code2\"\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"1cGQydmnStiSgDVFWfzh3Z38lNt67Eurn7J-kIjUBuFU\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Zepmemory\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1cGQydmnStiSgDVFWfzh3Z38lNt67Eurn7J-kIjUBuFU/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Sheet1\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1cGQydmnStiSgDVFWfzh3Z38lNt67Eurn7J-kIjUBuFU/edit#gid=0\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"session_id\": \"={{ $json.session_id }}\",\n \"created_at\": \"={{ $json.messages[0].created_at }}\",\n \"updated_at\": \"={{ $json.messages[0].updated_at }}\",\n \"role\": \"={{ $json.messages[0].role }}\",\n \"content\": \"={{ $json.messages[0].content }}\",\n \"token_count\": \"={{ $json.messages[0].token_count }}\",\n \"user_id\": \"={{ $json.messages[0].uuid }}\"\n },\n \"matchingColumns\": [],\n \"schema\": [\n {\n \"id\": \"session_id\",\n \"displayName\": \"session_id\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"created_at\",\n \"displayName\": \"created_at\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"updated_at\",\n \"displayName\": \"updated_at\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"user_id\",\n \"displayName\": \"user_id\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"role\",\n \"displayName\": \"role\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"content\",\n \"displayName\": \"content\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"facts\",\n \"displayName\": \"facts\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"entity_name\",\n \"displayName\": \"entity_name\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"entity_summary\",\n \"displayName\": \"entity_summary\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"context\",\n \"displayName\": \"context\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n },\n {\n \"id\": \"token_count\",\n \"displayName\": \"token_count\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"messages\",\n \"displayName\": \"messages\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": true\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 3360,\n 880\n ],\n \"id\": \"c39e31ac-3381-4642-a2b4-98000ce8f5bf\",\n \"name\": \"Google Sheets\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"IKl9sX1aVQI8pvAf\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {},\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 900,\n 320\n ],\n \"id\": \"ba75fef4-c65d-42e4-948c-d53104d34bb6\",\n \"name\": \"Window Buffer Memory\"\n }\n ],\n \"connections\": {\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get File Content\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract from File\": {\n \"main\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI1\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI2\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store1\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Vector Store1\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"Captures session id\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Captures session id\": {\n \"main\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SerpAPI\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Zep\": {\n \"ai_memory\": [\n []\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code\": {\n \"main\": [\n [\n {\n \"node\": \"Code1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code1\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Code2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code2\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"staticData\": null,\n \"pinData\": {},\n \"triggerCount\": 2,\n \"meta\": null\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Airbnb Guest Assistant", "node_count": 26, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"HOA Fee Analyzer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## HOA Fee Analyzer\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"4afac323-5876-45a8-bccd-7dcbeb0d05ae\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"hoa_fee_analyzer\"\n },\n \"id\": \"170dc7af-c8e4-4420-9a4e-80c0a62ff3df\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"bbf26500-857a-47ce-9dab-5a1bbc3a0029\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"dc4d3b33-40b8-4414-81e6-ca74e48ad493\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"hoa_fee_analyzer\"\n },\n \"id\": \"e96269e1-5bf2-4422-afc4-b33472a46cf2\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"hoa_fee_analyzer\"\n },\n \"id\": \"02a2e7c7-2457-467f-adec-04c8b3f7da82\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"0de505bb-2592-406d-92dc-f56bc9bb6f3f\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"132e0e2b-e8e4-43c8-841e-d89830fa7a7f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a5bd7242-10d9-4386-8d3d-dfa03c4e369a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d991fa78-4870-4dc8-ae72-c1f25a91a61e\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"f898e01a-ebd6-40aa-b6c3-1c513f398ef8\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "HOA Fee Analyzer", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for lead scoring with mls data", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Lead Scoring with MLS Data\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Lead Scoring with MLS Data\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"b3e798e0-f54d-43bf-9115-803ed5440da0\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"lead_scoring_with_mls_data\"\n },\n \"id\": \"91731293-a22d-4e7f-a326-e4370193b2ec\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c66ae7bb-3ce4-49f9-aa05-74097ff017d1\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"dd94a3be-6fef-4337-a815-2ea920012b1e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"lead_scoring_with_mls_data\"\n },\n \"id\": \"11d992bd-c645-440a-b946-c8603d2e52a5\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"lead_scoring_with_mls_data\"\n },\n \"id\": \"d6d1a18d-3612-438e-8509-1dd7c6e2f6a4\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"6d3594e7-3e47-41cd-810e-4d415bea9e31\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7ad970e6-4176-4eac-b242-904e6cd0011b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d6c9338c-bc66-4036-9a16-ca9e9e302e90\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"8ee19830-3676-4825-bad4-e7768bd6be95\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a6a6cccb-aa45-42da-bbf1-198fba885857\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Lead Scoring with MLS Data", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Mortgage Rate Alert", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Mortgage Rate Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Mortgage Rate Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e7f69fa7-a800-43bc-b113-061d37523f4d\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"mortgage_rate_alert\"\n },\n \"id\": \"3b8e8fe5-3986-44f2-9306-790e2ae3119f\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"dc561d99-0499-4c81-a7e5-e59ced66a2d5\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e867ce4b-bebb-484e-a69c-4e287cc7c6bd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"mortgage_rate_alert\"\n },\n \"id\": \"2e5ebbc6-b41e-403b-a20f-32335c185615\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"mortgage_rate_alert\"\n },\n \"id\": \"1bba824c-3bf0-478e-9a44-80dcf4354cec\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"94bd1fe4-881f-4ce5-8bed-5d3af96b97a2\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b637c592-cb50-44c1-adb9-011e8777c26d\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"39f9a420-6a85-4abe-abb4-b467878e582f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6a52cdd2-c9b3-450f-8131-0f1acaa404ce\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b7bb9fa0-cdd0-4ea7-b2ee-b0279939be98\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Mortgage Rate Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for neighborhood safety insights", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Neighborhood Safety Insights\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Neighborhood Safety Insights\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"6d429e9f-4cf4-413c-992a-934cb55c8e16\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"neighborhood_safety_insights\"\n },\n \"id\": \"8ef7fb3d-575d-4892-8afc-54c302c80b3d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"5b0b3f59-3490-48b0-bfe2-8327f49e9916\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"bc814284-3660-429f-afc4-32ce5c43cb7d\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"neighborhood_safety_insights\"\n },\n \"id\": \"fa876356-58fc-4c4d-9eaf-d375d986a76d\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"neighborhood_safety_insights\"\n },\n \"id\": \"1fe7c854-514d-4365-9f40-5d5e443a9fec\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"2a2a28cf-9d1b-40b6-ab5f-24a1ff1b27b6\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0c114c70-0c3d-4f76-b177-948a72857f4a\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2ed19d0b-5981-4187-ae4a-db60bba6b82a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"fd4845a4-e13e-4ca4-af76-ec8b63b63502\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"9dbfe97d-d0d7-4bb0-a9bc-8cc20d6becb2\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Neighborhood Safety Insights", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing + database", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Open House Reminder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Open House Reminder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"f924cb54-ba11-4cb7-8f29-71b0baca8062\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"open_house_reminder\"\n },\n \"id\": \"4f2c3ae0-9c02-4921-9127-b8be22f97c79\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f8085896-3869-4b45-81a1-fb35887c6582\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c3060c67-0183-4888-bb93-afdc90167a4b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"open_house_reminder\"\n },\n \"id\": \"33aa151a-e859-41bb-beaf-9ba3d6b372f7\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"open_house_reminder\"\n },\n \"id\": \"4831a728-1c61-4914-95ea-3d50700018e2\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"df6c51f6-7b94-444a-9501-32086e7e463c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"392846c4-b5f2-42f8-96f7-9db4226f700e\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"fcd7abdb-6cb0-4ea6-a9ff-26ad5460c10f\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"6b05f764-5f33-462f-be12-e3d119822653\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"b87baeaf-550a-4ae0-88ae-4ac16afb6ba1\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Open House Reminder", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase to property description generator", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Property Description Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Property Description Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"de9e99d7-55a7-4ab5-be65-a76562417c9e\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"property_description_generator\"\n },\n \"id\": \"95eaae13-d097-4ee7-850c-dde459bb204a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"7fc75187-cc83-48d5-a7e9-dae38978b806\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"9290b626-0263-42be-b96f-5a577b128620\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"property_description_generator\"\n },\n \"id\": \"1e94decf-e2a7-4e6f-b319-6ff1a44eef83\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"property_description_generator\"\n },\n \"id\": \"312a60d1-dcba-4181-b287-a5ecb3469e2e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"8ab3c450-26e0-4b87-a68e-663ab7cfad16\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c87803e6-a97d-4ef9-8c10-e5758445cbc7\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"31cfc461-50a1-422a-9ef3-6cdfa690b52b\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"beb92ab9-ec72-4327-9b30-fdddfd9216e7\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"cee3fcdc-0dc6-4dee-9863-767b4fd805a6\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Property Description Generator", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Show me an n8n workflow for real estate market trend report", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Real Estate Market Trend Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Real Estate Market Trend Report\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"e5cd3533-af52-45ca-8e52-6086b7d244ea\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"real_estate_market_trend_report\"\n },\n \"id\": \"0501dc92-8312-4244-a68e-0d6c798f9278\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"1570ba94-787d-4f3b-b5b5-e614db90bc8d\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"f4bd6310-ca6e-46c6-bc83-7e15c0588619\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"real_estate_market_trend_report\"\n },\n \"id\": \"d69bb710-b962-4b60-98cf-efefae8ed524\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"real_estate_market_trend_report\"\n },\n \"id\": \"5aed1ad1-1c3d-4f04-bf89-a3aa11cf4557\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"10f720a6-db13-4540-a66c-e62e9d8c9aaf\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9d5f774a-3ac5-4bef-9e43-7184c59b3f7f\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4b64717e-3152-429e-822a-8714766070e3\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"a381694b-832c-4be6-b93a-e3077a8a8efe\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"cc085301-7d71-4b78-a0f2-6b35f03cfe00\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Real Estate Market Trend Report", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Build a workflow for: Rental Price Estimator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Rental Price Estimator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Rental Price Estimator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"522a1c32-482c-4ac3-83bf-a8ae38f035e9\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"rental_price_estimator\"\n },\n \"id\": \"8b1409f9-abae-4c17-8049-ef854d2875b4\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"75e1adde-fad5-43b1-aff6-61a6f37dd10c\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"cfaa3081-4cb7-412b-83c0-8dcc28a25224\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"rental_price_estimator\"\n },\n \"id\": \"50813f68-ed6d-46b4-81bd-c44b22b4b378\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"rental_price_estimator\"\n },\n \"id\": \"654d535f-97a6-42b2-8f62-fc5ee805807e\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"dfeb7f91-ab52-42b5-b776-1fd67d9fbd79\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"3614aecd-22e9-449b-8368-8e238c50faa9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bc73d731-23d4-4294-ad6c-c8a6efe5e7e4\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"18a6cf50-4848-4e94-bf5a-c7638f772ab7\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3ba0b33e-9b94-4e0f-82a1-a51408b9ad0d\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Rental Price Estimator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Tenant Screening Summary?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Tenant Screening Summary\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Tenant Screening Summary\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3b33eebf-9222-4bd3-b76f-184d65d84dab\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"tenant_screening_summary\"\n },\n \"id\": \"18fe7bca-e67c-47c4-b3ff-1026e4ea6dd2\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"49839ad9-502f-469b-a079-ef2ca8f2f0dd\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"647d7561-8466-4208-8895-e9fcb704ac2a\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"tenant_screening_summary\"\n },\n \"id\": \"e490ed00-02f9-425c-b529-3b5a3083255e\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"tenant_screening_summary\"\n },\n \"id\": \"18a368e6-b6ba-459d-96ea-0155c46b2685\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"a83bba45-b696-4930-a9a0-926690456afa\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ee95789c-9e70-4905-883d-7cc66e61490b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e6431ed2-a268-483d-b15c-a3ab0a795fd1\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"8c55a527-e45c-4813-997b-ec051d3b9529\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"51d31d49-cc35-42ed-b760-e79e47b451e7\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Tenant Screening Summary", "node_count": 11, "category": "Data Processing"}} {"prompt": "Build a workflow for: Zoning Regulation Checker", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Zoning Regulation Checker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Zoning Regulation Checker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"07d635fb-5ea6-40db-8eb3-477a78c63232\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"zoning_regulation_checker\"\n },\n \"id\": \"3f13da25-c4d9-47c5-b521-2c2e25635ec3\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"e4a8e3ef-15b9-4e2a-876b-1d29f56cd0fa\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"b40a547d-4b1c-43b3-9820-732c263ce7fd\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"zoning_regulation_checker\"\n },\n \"id\": \"d29b865b-9909-4fc4-8785-9a04eb7eee35\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"zoning_regulation_checker\"\n },\n \"id\": \"5ffa1b33-c404-4135-b7fc-097a7af026ed\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"b2752bb3-20d7-43dd-83b5-3a9103d7cd46\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c6319312-5f09-4f7e-8590-0f2c17a5b88c\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"6da6b757-2fdf-4f85-8e2a-a1d4e15ec9fc\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"b5fda3af-1de8-41ba-a7f1-3f0ac4625110\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"a01be5c7-9426-4835-b2b9-3d03d1b6622b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Zoning Regulation Checker", "node_count": 11, "category": "Data Processing"}} {"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to video automation (images only)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 28\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.wait, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.outputParserStructured\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Video Automation (images only)\",\n \"nodes\": [\n {\n \"parameters\": {\n \"promptType\": \"=define\",\n \"text\": \"=You are a master at creating short-form viral videos. I want your help in generating historical POV videos, in which the user sees POV-style images of an individual throughout a major breakthrough in science in technology. The channel's name is \\\"Before it Changed Everything.\\\"\\n\\nEach video is 25 seconds long, and contains 5 scenes, 5 seconds each.\\n\\nEach scene requires one image and one audio voiceover, so the whole story will consist of 5 images and 5 audios. !important\\n\\nThe entire 25 second video would narrate a short story from that historical era.\\n\\nThe image prompts have to be such that they help the AI model maintain as much consistency from one image to the next. Since it's a POV video, there are very few details of the person itself that must be maintained aside from arms and feet, and torso and legs if visible.\\n\\nevery scene should have the POV individual interacting with a new character or setting, so this would also reduce the need for consistency aside from the same historical time period. However, remember to describe each scene with enough references so that each prompt can work individually.\\n\\nAny visible details of the character (hands feet accessories) must also be referenced in each prompt and described in way that maintains consistency.\\n\\nFor example, if you're describing the battle of Marathon and your first prompt is about an athenian hoplite surrounded by soldiers\\n\\nthe next image prompt must also specify that the soldiers are athenian from the battle of marathon\\n\\nFinally, the script should be such as to give enough details about the event, but not give the actual topic away. The script should always end as - can you guess the discovery - this would be part of the 5th segment, not an addional one\\n\\nHere are three ideal outputs\\n\\nScene 1 – Setting the Type\\n\\nPOV of a young male apprentice working in Johannes Gutenberg’s printing workshop during the creation of the Gutenberg Bible (circa 1454).\\nLocation: Mainz, Germany. Time Period: Mid-15th century. Setting: A medieval print shop at dawn, with timber beams, stone walls, and floors stained with ink. The space is lit dimly by hanging tallow candles and an early morning glow through a small window.\\nVisible Body Parts: Your light-skinned hands are ink-stained and youthful, gripping a wooden composing stick filled with reversed cast-metal movable type. You’re wearing a cream-colored linen shirt with the sleeves rolled to the elbow and a leather apron over the front. Black ink is smudged along your knuckles and fingers.\\nObjects in Scene: Brass typesetting tools, loose metal letter blocks, parchment scraps, candle stubs, wooden tables and shelving lined with ink pots, scrolls, and stacked paper.\\nPeople in Scene: Johannes Gutenberg, a bearded middle-aged man in a dark wool robe, stands beside two young apprentices in plain tunics, one with a leather cap. They are discussing a typeset frame.\\nAtmosphere: The air smells of wax, metal, and damp parchment. The environment is quiet but intense — the only sounds are soft footsteps, the creak of wood, and the delicate click of metal type.\\n\\n🎙️ “Master Gutenberg said today would change the world. I still don’t know how, but I believe him.”\\n\\n⸻\\n\\nScene 2 – Assembling the Page\\n\\nPOV of a young male apprentice working in Johannes Gutenberg’s printing workshop during the creation of the Gutenberg Bible (circa 1454).\\nLocation: Mainz, Germany. Time Period: Mid-15th century. Setting: The composing room of a medieval print shop during mid-morning. Wooden beams stretch across the ceiling. Light streams in from a narrow window, illuminating workbenches and shelves filled with parchment and metal type.\\nVisible Body Parts: Your fair-skinned fingers, stained with black ink and gray lead dust, are delicately arranging tiny reversed metal letters into a composing tray. You wear a loose-fitting white linen shirt with the sleeves pushed up to the elbows. A brown leather apron is partially visible.\\nObjects in Scene: A composing stick and tray, several piles of lead type, an open parchment sample of Latin text, ink cloth, wooden drawers filled with type blocks, and brass tweezers.\\nPeople in Scene: A young boy in a brown woolen cap leans nearby, watching your work. Another apprentice with curly hair sorts letters into compartments in the background.\\nAtmosphere: The room is quiet and focused. Dust floats in the sunlight. The air smells of wax, metal, and ink.\\nImage to video: your hands are gently moving across the composing tray\\n\\n🎙️ “Each letter must be perfect. Backwards, precise, eternal. One mistake, and the whole page is flawed.”\\n\\n⸻\\n\\nScene 3 – Engaging the Press\\n\\nPOV of a young male apprentice operating a wooden printing press in Johannes Gutenberg’s workshop during the creation of the Gutenberg Bible (circa 1454).\\nLocation: Mainz, Germany. Time Period: Mid-15th century. Setting: A candlelit central chamber within a medieval print shop, dominated by a large oak screw press. Afternoon light spills through a small window, mixing with flickering candlelight.\\nVisible Body Parts: Your hands grip a large wooden press lever, forearms straining under effort. Your rolled-up linen sleeves reveal ink-smudged skin. The tops of your worn leather shoes are barely visible below.\\nObjects in Scene: A heavy wooden screw press, a parchment page secured under the press plate, a nearby ink roller covered in thick black ink, rags for cleaning, an oil pot, and drying parchment stacked neatly nearby.\\nPeople in Scene: Johannes Gutenberg stands behind the press with folded arms, observing closely. Another apprentice loads a new forme with type in the background.\\nAtmosphere: The press groans under pressure. The room smells of ink, oil, and scorched parchment. The moment is tense, mechanical, and filled with focus.\\nimage to video: you pull down on the lever\\n\\n🎙️ “We press it down — firm, not forceful. It creaks like an old tree”\\n\\n!Important: make sure every script segment is a little shy of 4 seconds, otherwise the video will become black for that much time.\\n\\nThe theme of this video is {{ $('Google Sheets').item.json.Theme }} and the event I want you to generate a video for is the {{ $('Google Sheets').item.json.Topic }}\",\n \"hasOutputParser\": true\n },\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"typeVersion\": 1.5,\n \"position\": [\n 80,\n -360\n ],\n \"id\": \"ad6cf735-ccc1-46ec-9f6b-71dacc534682\",\n \"name\": \"Basic LLM Chain\"\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\"\n },\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 0,\n -200\n ],\n \"id\": \"e6906ba3-7c93-4771-a0a3-e523a0864541\",\n \"name\": \"OpenAI Chat Model\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ulLOziYE3uIZc6he\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"jsonSchemaExample\": \"[\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"X\\\",\\n \\\"image-to-video-prompt\\\": \\\"X\\\",\\n \\\"voiceover-script\\\": \\\"The Master says brush before blade. Every stroke must honor the classics. So I copy each character with care.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice carving Chinese characters into a wooden block in a Song Dynasty woodblock printing workshop (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: Mid-morning in a sunlit workshop filled with the scent of sandalwood and ink. Visible Body Parts: Your hands hold a small carving knife, steadying the woodblock with your left hand. Fingernails are stained with ink and sawdust. You're wearing the same indigo scholar robe with a tan hemp sash. Objects in Scene: A rectangular block of pearwood, carving knife set, character sketch, wood shavings, and discarded test blocks. People in Scene: A senior carver leans in, adjusting your grip. Another apprentice carefully sharpens tools beside a table. Atmosphere: Quiet but concentrated, with the soft scraping of blades on wood.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV carving reversed Chinese characters into a woodblock using a fine knife. Your ink-stained hands hold the blade with precision. You're wearing wide blue robes and a hemp sash. A master carver leans in to assist. Around you are test blocks, carving tools, and wood shavings. Light streams through a window. The setting is peaceful and disciplined.\\\",\\n \\\"voiceover-script\\\": \\\"Each cut must be clean. One slip, and the whole block is ruined. My hands shake, but the blade must not.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice inking a carved woodblock in a Song Dynasty printing workshop preparing to print a Confucian text (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: A low wooden table set beside an open window with bamboo blinds. Visible Body Parts: Your hands, darkened slightly with dried ink, gently roll a thin cloth pad across the carved woodblock. Sleeves of your wide indigo robe are tied back with a cord to avoid contact. Objects in Scene: Carved woodblock, ink pad, ceramic ink dish, sheets of xuan paper stacked neatly. People in Scene: An assistant waits nearby, holding parchment. The calligrapher watches silently from across the room. Atmosphere: Meditative and rhythmic, with the scent of ink and aged wood.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV inking a carved woodblock using a cloth pad. Your hands apply ink in smooth strokes. Sleeves are tied back with a cord. Sunlight glows through bamboo blinds. An assistant stands ready with paper. The carved Chinese characters are clearly visible. Traditional setting, calm mood.\\\",\\n \\\"voiceover-script\\\": \\\"The ink must reach every groove, but never flood the wood. I press gently, as I was taught.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice printing a Confucian text by pressing paper onto an inked woodblock in a Song Dynasty workshop (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: A spacious studio with scrolls drying on racks and large tables covered in paper. Visible Body Parts: Your hands smooth a sheet of xuan paper over the inked woodblock, using a bamboo rubbing tool. The same indigo robe and hemp sash are visible as you lean forward. Objects in Scene: The carved woodblock, fresh paper, bamboo baren (rubbing pad), and drying scrolls clipped above. People in Scene: A younger student observes curiously. A supervisor quietly inspects finished prints behind you. Atmosphere: Serious, focused, with the sound of rubbing and distant birdsong through the open shutters.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV printing by pressing paper onto an inked woodblock with a bamboo rubbing pad. Your hands move in circular motions. Robes shift slightly as you lean in. Around you are scroll racks, carved blocks, and parchment. Another student watches your technique. Warm, quiet atmosphere.\\\",\\n \\\"voiceover-script\\\": \\\"My heart races with each rub. When I lift the paper, it will show if I am worthy of the Master’s trust.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice hanging a freshly printed Confucian scroll to dry in a Song Dynasty workshop (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: The drying room of a print shop, with bamboo rods suspended from the ceiling, scrolls clipped neatly in rows. Visible Body Parts: Your hands hold the top of a damp scroll, aligning it with a bamboo line. Fingertips slightly stained. A glimpse of your indigo sleeve and tan sash appear at the edge of the frame. Objects in Scene: Scrolls with bold black characters, wooden pegs, thin cords, incense burner. People in Scene: An elderly scholar passes through behind you, examining the finished work with folded hands. Atmosphere: The room is airy, quiet, and smells of ink, wood, and incense.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV hanging a wet printed scroll onto a drying rack made of bamboo. Your hands gently clip the scroll in place. Ink glistens faintly on the parchment. Scholar robes and sash visible at edge of frame. Elder scholar walks past behind you. Warm, ceremonial feeling.\\\",\\n \\\"voiceover-script\\\": \\\"The ink is still fresh. The words still wet. But soon, this scroll will speak to minds I’ll never meet.\\\"\\n }\\n },\\n {\\n \\\"scene\\\": {\\n \\\"image-prompt\\\": \\\"POV of a young male apprentice presenting the completed printed scroll to a noble scholar in a Song Dynasty library (circa 11th century). Location: Kaifeng, China. Time Period: Northern Song Dynasty. Setting: A private study with polished wooden floors, lattice windows, shelves of bamboo-bound books, and bronze incense holders. Visible Body Parts: Your hands hold the scroll wrapped in silk, extended forward in offering. The blue sleeves of your scholar’s robe drape down, your feet barely visible on a woven mat. Objects in Scene: A lacquered writing table, a brush holder, open scrolls, jade paperweights. People in Scene: An elderly Confucian scholar in dark green robes receives the scroll with a gentle bow. A servant pours tea in the background. Atmosphere: Silent reverence, with the soft aroma of tea and cedar.\\\",\\n \\\"image-to-video-prompt\\\": \\\"POV offering a silk-wrapped printed scroll to a seated scholar in a Song Dynasty study. Your hands extend the scroll respectfully. Robes and mat beneath you visible. The scholar bows slightly. Teacups, incense, and bamboo books line the room. Serene, scholarly tone.\\\",\\n \\\"voiceover-script\\\": \\\"He bows to receive it, but I bow deeper. This scroll carries more than ink — it carries my beginning.\\\"\\n }\\n }\\n]\"\n },\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"typeVersion\": 1.2,\n \"position\": [\n 340,\n -200\n ],\n \"id\": \"ccca4759-b87d-40f2-bba8-27c907dfa9f5\",\n \"name\": \"Structured Output Parser\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"output\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -360\n ],\n \"id\": \"6cb4b514-bd18-4aa3-aacb-983515b308f6\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.replicate.com/v1/models/black-forest-labs/flux-schnell/predictions\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"input\\\": {\\n \\\"prompt\\\": \\\"{{ $json.scene['image-prompt'] }}\\\",\\n \\\"go_fast\\\": true,\\n \\\"megapixels\\\": \\\"1\\\",\\n \\\"num_outputs\\\": 1,\\n \\\"aspect_ratio\\\": \\\"9:16\\\",\\n \\\"output_format\\\": \\\"jpg\\\",\\n \\\"output_quality\\\": 80,\\n \\\"num_inference_steps\\\": 4\\n }\\n } \",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 800,\n -320\n ],\n \"id\": \"864713ce-5191-47cb-a2bf-dffc240a3a7a\",\n \"name\": \"HTTP Request\"\n },\n {\n \"parameters\": {\n \"content\": \"## Generate Images\",\n \"height\": 320,\n \"width\": 1260\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n -440\n ],\n \"typeVersion\": 1,\n \"id\": \"8f93435f-ef35-467c-b64d-56c6f348e410\",\n \"name\": \"Sticky Note\"\n },\n {\n \"parameters\": {\n \"amount\": 7\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 1160,\n -320\n ],\n \"id\": \"24c3f9f8-5eed-434a-a7bc-0ed1891ead75\",\n \"name\": \"Wait\",\n \"webhookId\": \"39ba6c0a-5107-44ad-b812-1616712b4a5b\"\n },\n {\n \"parameters\": {\n \"url\": \"={{ $json.urls.get }}\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1500,\n -320\n ],\n \"id\": \"34215c07-8fed-4762-ad8a-9467acedd680\",\n \"name\": \"HTTP Request1\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.elevenlabs.io/v1/text-to-speech/CwhRBWXzGAHq8TQ4Fs17\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"xi-api-key\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"text\\\": \\\"{{ $('Split Out').item.json.scene['voiceover-script'] }}\\\",\\n \\\"model_id\\\": \\\"eleven_multilingual_v2\\\"\\n}\\n\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1200,\n 120\n ],\n \"id\": \"0e3a74cb-0675-4457-a9dd-f4f5dde87c39\",\n \"name\": \"HTTP Request2\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 900,\n 60\n ],\n \"id\": \"14004132-5149-4e43-bca6-ea706ae71ea0\",\n \"name\": \"Loop Over Items\"\n },\n {\n \"parameters\": {\n \"content\": \"## Generate Audio\",\n \"height\": 340,\n \"width\": 1260\n },\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n -40\n ],\n \"typeVersion\": 1,\n \"id\": \"0bbaf443-4638-4616-90bc-a8737a839f87\",\n \"name\": \"Sticky Note2\"\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"name\": \"POV Videos Audio\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"root\",\n \"cachedResultName\": \"/ (Root folder)\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1140,\n -660\n ],\n \"id\": \"989d34b0-b765-477c-b2cc-68d16236dcef\",\n \"name\": \"Google Drive\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"=audio-{{ $runIndex }}.mp3\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"={{ $('Google Drive').item.json.id }}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1540,\n 100\n ],\n \"id\": \"26ec1a16-3470-4e10-bed0-5c7fba9098d5\",\n \"name\": \"Google Drive1\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.creatomate.com/v1/renders\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\"\n }\n ]\n },\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"jsonBody\": \"={\\n \\\"template_id\\\": \\\"2dffc678-70b0-47fb-9449-24d7e0cfd625\\\",\\n \\\"modifications\\\": {\\n \\\"Image-1.source\\\": \\\"{{ $json.output[0][0] }}\\\",\\n \\\"Voiceover-1.source\\\": \\\"{{ $json.webContentLink[0] }}\\\",\\n \\\"Image-2.source\\\": \\\"{{ $json.output[0][1] }}\\\",\\n \\\"Voiceover-2.source\\\": \\\"{{ $json.webContentLink[1] }}\\\",\\n \\\"Image-3.source\\\": \\\"{{ $json.output[0][2] }}\\\",\\n \\\"Voiceover-3.source\\\": \\\"{{ $json.webContentLink[2] }}\\\",\\n \\\"Image-4.source\\\": \\\"{{ $json.output[0][3] }}\\\",\\n \\\"Voiceover-4.source\\\": \\\"{{ $json.webContentLink[3] }}\\\",\\n \\\"Image-5.source\\\": \\\"{{ $json.output[0][4] }}\\\",\\n \\\"Voiceover-5.source\\\": \\\"{{ $json.webContentLink[4] }}\\\"\\n }\\n}\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2000,\n 360\n ],\n \"id\": \"8065787a-2ea1-4048-9ab4-d542c1c56769\",\n \"name\": \"Generate Videos\"\n },\n {\n \"parameters\": {\n \"mode\": \"combine\",\n \"combineBy\": \"combineByPosition\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.merge\",\n \"typeVersion\": 3,\n \"position\": [\n 2000,\n -180\n ],\n \"id\": \"365a00d7-a68e-43fe-934d-4d2252ff6643\",\n \"name\": \"Merge\"\n },\n {\n \"parameters\": {\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"output[0]\"\n },\n {\n \"fieldToAggregate\": \"webContentLink\"\n },\n {\n \"fieldToAggregate\": \"Topic\"\n },\n {\n \"fieldToAggregate\": \"output[4].title\"\n },\n {\n \"fieldToAggregate\": \"output[4].description\"\n },\n {\n \"fieldToAggregate\": \"=drive_folder_id\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.aggregate\",\n \"typeVersion\": 1,\n \"position\": [\n 1980,\n 100\n ],\n \"id\": \"e5db6e05-618a-4771-95e3-e0cdf9380cfd\",\n \"name\": \"Aggregate\"\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"operation\": \"share\",\n \"folderNoRootId\": {\n \"__rl\": true,\n \"value\": \"={{ $json.drive_folder_id }}\",\n \"mode\": \"id\"\n },\n \"permissionsUi\": {\n \"permissionsValues\": {\n \"role\": \"writer\",\n \"type\": \"anyone\"\n }\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1740,\n -660\n ],\n \"id\": \"e2826f54-ff23-4345-a9f5-211f4830e48d\",\n \"name\": \"Google Drive2\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"hours\",\n \"hoursInterval\": 12\n }\n ]\n }\n },\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"typeVersion\": 1.2,\n \"position\": [\n 580,\n -660\n ],\n \"id\": \"6aa01c7f-7d92-4482-ad15-9fbbd22fceac\",\n \"name\": \"Schedule Trigger\"\n },\n {\n \"parameters\": {\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before it changed everything tracker\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Master\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit#gid=0\"\n },\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupColumn\": \"Status\",\n \"lookupValue\": \"Pending\"\n }\n ]\n },\n \"options\": {\n \"returnFirstMatch\": true\n }\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 840,\n -660\n ],\n \"id\": \"53ab19fc-085a-4c2a-8b8b-d6e84ab190f0\",\n \"name\": \"Google Sheets\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"1tkwsToZLlEshQfI\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before it changed everything tracker\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Master\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit#gid=0\"\n },\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupColumn\": \"Status\",\n \"lookupValue\": \"Pending\"\n }\n ]\n },\n \"options\": {\n \"returnFirstMatch\": true\n }\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 740,\n 320\n ],\n \"id\": \"efb08c46-4abb-4630-a6f6-41808a9b6028\",\n \"name\": \"Google Sheets1\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"1tkwsToZLlEshQfI\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"url\": \"={{ $('Generate Videos').item.json.url }}\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 1680,\n 320\n ],\n \"id\": \"e4b52f10-fd72-44bc-a58d-318b2daff27c\",\n \"name\": \"HTTP Request3\"\n },\n {\n \"parameters\": {\n \"name\": \"={{ $('Google Sheets1').item.json.Topic }}\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"1Cay44vDNFZ_zELmV9RsdHTv6UFTAszMc\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before It Changed Everything Videos\",\n \"cachedResultUrl\": \"https://drive.google.com/drive/folders/1Cay44vDNFZ_zELmV9RsdHTv6UFTAszMc\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 760,\n 620\n ],\n \"id\": \"80239a8c-0f12-403e-98ca-c2c9f43e23bc\",\n \"name\": \"Google Drive3\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"unit\": \"minutes\"\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 2300,\n 360\n ],\n \"id\": \"8dae378a-b2cc-4a78-a78f-f5eb08897139\",\n \"name\": \"Wait1\",\n \"webhookId\": \"576048df-e86b-4196-a1c2-54e5775e24d3\"\n },\n {\n \"parameters\": {\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"f151b3ff-0fa1-406a-974d-8c27fbca1a54\",\n \"name\": \"drive_folder_id\",\n \"value\": \"={{ $json.id }}\",\n \"type\": \"string\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.set\",\n \"typeVersion\": 3.4,\n \"position\": [\n 1420,\n -660\n ],\n \"id\": \"36aafa69-2b90-4f9d-b4fb-d41af50e31eb\",\n \"name\": \"Edit Fields\"\n },\n {\n \"parameters\": {\n \"resource\": \"fileFolder\",\n \"queryString\": \"POV Videos Audio\",\n \"limit\": 1,\n \"filter\": {\n \"whatToSearch\": \"folders\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1040,\n 620\n ],\n \"id\": \"1739edb4-89e1-4330-987a-e9ca92ec89ba\",\n \"name\": \"Google Drive4\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"folder\",\n \"operation\": \"deleteFolder\",\n \"folderNoRootId\": {\n \"__rl\": true,\n \"value\": \"={{ $json.id }}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 1280,\n 620\n ],\n \"id\": \"5af28a5c-a855-4c7c-877d-db89127f1069\",\n \"name\": \"Google Drive5\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"w1LozBYF8UijOdoM\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=You are an expert at creating viral YouTube shorts. I am creating a science video series about {{ $json.Theme }}, and the topic of this video is {{ $json.Topic }}. Please generate a viral title and description for this video. Add the hashtag #shorts at the end of the title, and output as JSON in the following format:\\n\\ntitle:\\ndescription:\\n\\nThe title and description should not give the topic away, because the purpose of the video is to provide clues and context around the topic and encourage people to take a guess as to what it is.\"\n }\n ]\n },\n \"jsonOutput\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1080,\n 320\n ],\n \"id\": \"7542aa26-df1d-4bc9-8d2f-2986c12c4911\",\n \"name\": \"OpenAI\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ulLOziYE3uIZc6he\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"update\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Before it changed everything tracker\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit?usp=drivesdk\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"gid=0\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Master\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/19Ctw6aVclYotXYMhHJzZifn5q28-MZSNvLk2zoECrEY/edit#gid=0\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": {\n \"Topic\": \"={{ $('Google Sheets1').item.json.Topic }}\",\n \"Title\": \"={{ $json.message.content.title }}\",\n \"Description\": \"={{ $json.message.content.description }}\",\n \"Status\": \"Generated\"\n },\n \"matchingColumns\": [\n \"Topic\"\n ],\n \"schema\": [\n {\n \"id\": \"Topic\",\n \"displayName\": \"Topic\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"removed\": false\n },\n {\n \"id\": \"Theme\",\n \"displayName\": \"Theme\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Status\",\n \"displayName\": \"Status\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Title\",\n \"displayName\": \"Title\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Description\",\n \"displayName\": \"Description\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Date Posted\",\n \"displayName\": \"Date Posted\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"row_number\",\n \"displayName\": \"row_number\",\n \"required\": false,\n \"defaultMatch\": false,\n \"display\": true,\n \"type\": \"string\",\n \"canBeUsedToMatch\": true,\n \"readOnly\": true,\n \"removed\": true\n }\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4.5,\n \"position\": [\n 1440,\n 320\n ],\n \"id\": \"3ef2a4ed-9a80-4938-bd76-6232434ab0ad\",\n \"name\": \"Google Sheets2\",\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"1tkwsToZLlEshQfI\",\n \"name\": \"Google Sheets account\"\n }\n }\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Basic LLM Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ],\n [\n {\n \"node\": \"HTTP Request2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request2\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive1\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Videos\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Videos\": {\n \"main\": [\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive2\": {\n \"main\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Sheets\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Sheets1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request3\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive3\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Edit Fields\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive4\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive5\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive5\": {\n \"main\": [\n []\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Google Sheets2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Sheets2\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"d23bee08-a917-49f8-b264-5b873a1fa001\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"fb357db16d4f03c7d7597f4abaa6a5e06176011d3bee518d28bed06754cb1f31\"\n },\n \"id\": \"uzIeHxEXq5Q4DDPA\",\n \"tags\": []\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Video Automation (images only)", "node_count": 28, "category": "General Automation"}} {"prompt": "Build a workflow for: Alert On Instagram Competitor Story", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Alert on Instagram Competitor Story\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Alert on Instagram Competitor Story\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"21eb9c4e-1dd8-4912-94c8-ae35a24ccf6a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"alert-on-instagram-competitor-story\"\n },\n \"id\": \"3e99ee3b-2943-4242-9d10-4ae5f7c050c4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"2ba926bb-eba1-4cf4-b819-263b3727853a\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f71bb5cd-2ff0-4822-8464-9b15aaefa469\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"alert_on_instagram_competitor_story\"\n },\n \"id\": \"a39340e4-46ef-4539-a281-1c12638eae78\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"alert_on_instagram_competitor_story\"\n },\n \"id\": \"8fd13893-fe01-4756-ba4b-82297df9c5ec\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"1a960c00-32d4-4933-987c-d71e5e38a0e9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"2de7c499-82d8-4a23-b6da-d050c3728ea4\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"1881ee9b-2e5c-474a-9aa5-4800b1bb655b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Alert on Instagram Competitor Story\"\n }\n },\n \"id\": \"71ac72c2-63dd-4656-a2e1-6e525e685591\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Alert on Instagram Competitor Story\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"350be277-eb68-4a51-b1af-a5280d188c1b\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Alert on Instagram Competitor Story error: {$json.error.message}\"\n },\n \"id\": \"a14c656e-41e1-472c-b191-4bec794ad003\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Alert on Instagram Competitor Story", "node_count": 12, "category": "Data Processing + Database"}} {"prompt": "How would you build: Auto Dm New Twitter Followers?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-DM New Twitter Followers\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-DM New Twitter Followers\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"6c8445ba-33d0-4091-bc77-9206a3e8b3be\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-dm-new-twitter-followers\"\n },\n \"id\": \"f3af4318-25fb-48b3-afcd-b6626ffa4fc3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"5d8f131d-4f2e-4689-941a-71971000788e\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"c16f0e7d-d77e-4bf0-a9b8-aff545ebac3e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-dm_new_twitter_followers\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-dm_new_twitter_followers\"\n }\n },\n \"id\": \"66aa91bd-6e08-4905-92b6-ab70a0a0fb57\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-dm_new_twitter_followers\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-dm_new_twitter_followers\"\n }\n },\n \"id\": \"9e705430-71d8-4f8c-badf-693b26ca753a\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"ca01a22f-5dd8-403c-95ea-f56ba2d0e096\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"bab9ab82-93b6-47dd-b15f-8a84bcb46950\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"752644de-7653-4ebb-afe7-9f0afb6d092b\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-DM New Twitter Followers\"\n }\n },\n \"id\": \"b22befc8-d57c-4fb2-a104-4fd9e9fbf878\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-DM New Twitter Followers\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"5d5d5e45-7359-4cf9-a630-6592d59cda74\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-DM New Twitter Followers error: {$json.error.message}\"\n },\n \"id\": \"b9362533-2cf6-4f58-980f-829f3483092c\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-DM New Twitter Followers", "node_count": 12, "category": "Data Processing"}} {"prompt": "Build a workflow for: Auto Post Blogs To Linkedin And Twitter", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-post Blogs to LinkedIn and Twitter\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-post Blogs to LinkedIn and Twitter\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"f6b52b5b-3751-4c22-a6c1-3e5936fb322a\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-post-blogs-to-linkedin-and-twitter\"\n },\n \"id\": \"f5a15148-9af1-409b-a4ef-ad2b0e2e2f06\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"121f362d-ae3a-45c8-894d-12e606dab808\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"6a35e11a-dd03-4d95-bcc3-f4f8c85088d5\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"auto-post_blogs_to_linkedin_and_twitter\"\n },\n \"id\": \"401ef38d-6acd-41cd-8ce5-3a50b8545789\",\n \"name\": \"Supabase Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"auto-post_blogs_to_linkedin_and_twitter\"\n },\n \"id\": \"04497ee3-b9d0-4296-8d11-c26ea24c5a19\",\n \"name\": \"Supabase Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\",\n \"description\": \"Vector context\"\n },\n \"id\": \"cd76d86e-4c30-43bb-a0e2-baaf728f7871\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"9f39a9d1-b9d1-42d9-b199-8256c98ba424\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"8262b5be-0943-4a57-81d3-438502e72dca\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-post Blogs to LinkedIn and Twitter\"\n }\n },\n \"id\": \"ef4551cd-6b4e-41ae-8688-f3119f289c8f\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-post Blogs to LinkedIn and Twitter\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"4ab2b12c-2228-4309-b688-e64bd895ffce\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-post Blogs to LinkedIn and Twitter error: {$json.error.message}\"\n },\n \"id\": \"915205bd-7106-4a5d-9962-82a3d5292349\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Supabase Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Supabase Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Supabase Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Supabase Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-post Blogs to LinkedIn and Twitter", "node_count": 12, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to auto reply to tiktok comments", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Auto-reply to TikTok Comments\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Auto-reply to TikTok Comments\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"62a5ff73-812f-4bd3-b69e-19ccb837438b\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"auto-reply-to-tiktok-comments\"\n },\n \"id\": \"e2d9a151-59e3-42d2-8108-bfb2b4f530f4\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"57baa51e-87e0-4b4f-90b3-44b5282b3d95\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"4c1d12a0-1780-4d26-b17f-59215022b555\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-reply_to_tiktok_comments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-reply_to_tiktok_comments\"\n }\n },\n \"id\": \"be23eb72-bca1-4e6f-8b8f-00b3c76fef40\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"auto-reply_to_tiktok_comments\",\n \"mode\": \"list\",\n \"cachedResultName\": \"auto-reply_to_tiktok_comments\"\n }\n },\n \"id\": \"62d1d625-cf70-410e-84d2-eaad7477a7ba\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"197c6860-6a3f-4498-a4ce-e67f77133f0c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"585b2926-3905-4872-ba01-89e6f5a62fee\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"be683af2-ee65-436a-8233-5553ccc362c4\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Auto-reply to TikTok Comments\"\n }\n },\n \"id\": \"b2359ea4-9d21-42f9-854b-42bdf4fcc565\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Auto-reply to TikTok Comments\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"416996cb-2ac9-4074-b6ca-3b259a8a04d7\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Auto-reply to TikTok Comments error: {$json.error.message}\"\n },\n \"id\": \"553f06df-c97e-4775-b96a-52ad4c16a41b\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Auto-reply to TikTok Comments", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles ai & llm + data processing", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Cross-post YouTube Uploads to Facebook\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Cross-post YouTube Uploads to Facebook\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"e227f505-d90e-4cac-b88e-143d55a41313\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"cross-post-youtube-uploads-to-facebook\"\n },\n \"id\": \"f2e1b834-b79c-400a-9016-e001ae3a1f37\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c2ee666f-2b15-4919-ae35-639428a47410\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"f7b42d81-8b2e-40ba-a7ce-bcdcee98fb28\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"cross-post_youtube_uploads_to_facebook\",\n \"mode\": \"list\",\n \"cachedResultName\": \"cross-post_youtube_uploads_to_facebook\"\n }\n },\n \"id\": \"e48c8606-0249-495e-b652-bf2973cbf903\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"cross-post_youtube_uploads_to_facebook\",\n \"mode\": \"list\",\n \"cachedResultName\": \"cross-post_youtube_uploads_to_facebook\"\n }\n },\n \"id\": \"3f87822c-d588-4d43-b96f-9d0a1a0652b5\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"4009c47f-e495-4e55-8b42-271fc7f5c2c0\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"65041fcc-1556-4d14-81f1-4f8983867de8\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"46a928e6-754e-4a16-a699-551cd7c8aca7\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Cross-post YouTube Uploads to Facebook\"\n }\n },\n \"id\": \"9dc4acf6-b097-4b50-808a-0182edd55309\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Cross-post YouTube Uploads to Facebook\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"7bdeabaf-dd8c-4615-b9ca-f257ec0b7eb8\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Cross-post YouTube Uploads to Facebook error: {$json.error.message}\"\n },\n \"id\": \"bb677f3c-bb83-41f1-98f5-90db4c4f765d\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Cross-post YouTube Uploads to Facebook", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Log Twitter Mentions In Notion?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Log Twitter Mentions in Notion\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Log Twitter Mentions in Notion\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"9ada02d4-1b9a-4475-ab74-3fec017290b0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"log-twitter-mentions-in-notion\"\n },\n \"id\": \"2a319bca-b315-479c-8cc5-00c3e017a652\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"599dd595-9fa8-40de-982f-1897a35e9ec6\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"embed-english-v3.0\",\n \"options\": {}\n },\n \"id\": \"f9f91a1d-a3fa-41ba-96e8-1a0842ec54ad\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"log_twitter_mentions_in_notion\"\n },\n \"id\": \"95a626fd-1907-475a-8297-a088c40f7322\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"log_twitter_mentions_in_notion\"\n },\n \"id\": \"4921e12c-f828-40d6-bbe8-4749ef18341e\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"f600c918-24ae-4659-ad01-77c48c2ff50a\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"7eec9928-bb45-49a9-af88-a2f8e0357759\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"5baad51a-c76c-4ba3-b961-31a8f1607b61\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Log Twitter Mentions in Notion\"\n }\n },\n \"id\": \"bf34ac84-3904-4010-b2f3-e9f6328195df\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log Twitter Mentions in Notion\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"460a8b6a-6ed3-44f0-a5df-37b52a34ab74\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Log Twitter Mentions in Notion error: {$json.error.message}\"\n },\n \"id\": \"04cbe4da-7774-4177-a753-6a01f23a7687\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Log Twitter Mentions in Notion", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for monthly social media report", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Monthly Social Media Report\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Monthly Social Media Report\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"5d2f980a-4f7d-4e5f-acd9-29f532634bf3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"monthly-social-media-report\"\n },\n \"id\": \"2f7e00f6-721f-4f11-8d8e-f6036cb4c4e3\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"f504b256-54f2-4862-8031-60c272844eca\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"16eaa7d4-b566-451d-abaf-f1c74ca7db33\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"monthly_social_media_report\"\n },\n \"id\": \"ac30243b-1100-4cf1-a0dd-baf77e2a953e\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"monthly_social_media_report\"\n },\n \"id\": \"22db8cd2-d13f-47b4-97f2-ae43ef68f72c\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"12d9cea3-b799-47e7-99cb-b8d6d5cf8b87\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"067fc8cb-6899-4357-a9ed-3c81573af176\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"a54762ba-a09c-477a-abde-1653ce014bf6\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Monthly Social Media Report\"\n }\n },\n \"id\": \"53259669-6609-4dd1-8de0-50b8bc91b9d5\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Monthly Social Media Report\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f3491401-f9e4-4792-bf6d-8225a7fbe226\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Monthly Social Media Report error: {$json.error.message}\"\n },\n \"id\": \"f6ffdcfe-cc88-4eb3-a8e9-2bc36b0213ba\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Monthly Social Media Report", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "How would you build: Reddit Upvote Alert?", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Reddit Upvote Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Reddit Upvote Alert\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"65196870-2079-4376-92b9-a2f6d782a0d9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"reddit-upvote-alert\"\n },\n \"id\": \"78135efe-8906-4437-9908-1e335442f6a2\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d4d868f6-46e2-42d4-a294-fbd6ac733823\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"88ea99f8-1469-4c03-8fd1-ed1fab8a5516\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"indexName\": \"reddit_upvote_alert\"\n },\n \"id\": \"466c3a8b-e140-4b17-b4b7-f33415832ef9\",\n \"name\": \"Weaviate Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"reddit_upvote_alert\"\n },\n \"id\": \"6648eb75-d080-48fd-8fd1-a5d9edf7c6a5\",\n \"name\": \"Weaviate Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\",\n \"description\": \"Vector context\"\n },\n \"id\": \"36705e61-87ec-4858-87e3-2eb4d1f3219c\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"4fd2d787-235f-4efc-a57f-3d91956b0975\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"669c352a-d72e-4a48-b11d-377736696308\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Reddit Upvote Alert\"\n }\n },\n \"id\": \"af93f117-fe2b-4e90-b9e7-a0a1d8cecb1b\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Reddit Upvote Alert\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"8735a4a8-4a50-44b7-b303-597642c7bca0\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Reddit Upvote Alert error: {$json.error.message}\"\n },\n \"id\": \"b337597e-1efd-43e6-8a88-7822de398548\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Weaviate Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Weaviate Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Weaviate Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Weaviate Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Reddit Upvote Alert", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to schedule instagram content from airtable", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Schedule Instagram Content from Airtable\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for Schedule Instagram Content from Airtable\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"7abba269-7e58-480c-8343-0f7dabcb52b8\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"schedule-instagram-content-from-airtable\"\n },\n \"id\": \"baa2150e-b0db-49a7-9ef7-2015ee41cb17\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"b3ccfb17-8668-4b7d-8b87-00806d6fd722\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"d3c7a01c-465a-4d68-a1c3-753fa9d33dfb\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"schedule_instagram_content_from_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"schedule_instagram_content_from_airtable\"\n }\n },\n \"id\": \"327e4fcd-d941-4c80-90ab-e367aa6bc83b\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"schedule_instagram_content_from_airtable\",\n \"mode\": \"list\",\n \"cachedResultName\": \"schedule_instagram_content_from_airtable\"\n }\n },\n \"id\": \"fe2adecc-d905-4161-9558-1fb91514db6d\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"e9dd7f92-2cb1-4f98-b033-a5fb89651c6e\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"89345e2d-849e-45eb-849b-0b68b00fb45d\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"6428cdb0-972d-4db8-85e2-ca5e4049ede8\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for Schedule Instagram Content from Airtable\"\n }\n },\n \"id\": \"e2a48f35-4c86-4d8d-bf83-f1f9e8ef98df\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Schedule Instagram Content from Airtable\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"f026138c-b0be-4734-b87d-71c7d7947cb4\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"Schedule Instagram Content from Airtable error: {$json.error.message}\"\n },\n \"id\": \"5c4e16ac-68ff-4c7d-aa5a-be47b01d5fac\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Schedule Instagram Content from Airtable", "node_count": 12, "category": "AI & LLM + Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 12\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"YouTube Comment Summarizer\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"Placeholder for YouTube Comment Summarizer\",\n \"height\": 530,\n \"width\": 1100,\n \"color\": 5\n },\n \"id\": \"2a67ad9a-dcc2-4ef0-abca-f3255d63c2d0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -480,\n -240\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"youtube-comment-summarizer\"\n },\n \"id\": \"2fde1554-d2d7-49c3-b337-405b6c3136c9\",\n \"name\": \"Webhook Trigger\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"82191399-1a68-400c-9bea-0c3a9aa2ac37\",\n \"name\": \"Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -130,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"id\": \"8a7643de-d014-4377-9055-79ee738b6231\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 70,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_comment_summarizer\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_comment_summarizer\"\n }\n },\n \"id\": \"841e4571-f1c6-49e0-8520-5d4a244b057f\",\n \"name\": \"Pinecone Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"pineconeIndex\": {\n \"__rl\": true,\n \"value\": \"youtube_comment_summarizer\",\n \"mode\": \"list\",\n \"cachedResultName\": \"youtube_comment_summarizer\"\n }\n },\n \"id\": \"d85e823f-715b-489b-9628-61ce63cb33fe\",\n \"name\": \"Pinecone Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 270,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\",\n \"description\": \"Vector context\"\n },\n \"id\": \"0737745f-be5b-4e98-b85b-45a3412f09e9\",\n \"name\": \"Vector Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"b8a28d57-b2d0-4ccd-8748-d484099c2bd5\",\n \"name\": \"Window Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 450,\n -40\n ]\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"id\": \"93fe9b1d-0b94-4f3a-a864-fda08cd201ce\",\n \"name\": \"Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 450,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"Handle data\",\n \"options\": {\n \"systemMessage\": \"You are an assistant for YouTube Comment Summarizer\"\n }\n },\n \"id\": \"a3218023-dcc5-4302-9506-a498a28823b4\",\n \"name\": \"RAG Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 720,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": {\n \"__rl\": true,\n \"value\": \"SHEET_ID\",\n \"mode\": \"list\",\n \"cachedResultName\": \"YouTube Comment Summarizer\"\n },\n \"sheetName\": {\n \"__rl\": true,\n \"value\": \"Log\",\n \"mode\": \"list\",\n \"cachedResultName\": \"Log\"\n },\n \"columns\": {\n \"mappingMode\": \"defineBelow\",\n \"value\": \"Status\",\n \"schema\": []\n }\n },\n \"id\": \"1d624247-2c74-46c5-89e4-624b0c62bb87\",\n \"name\": \"Append Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 930,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Google Sheets account\"\n }\n }\n },\n {\n \"parameters\": {\n \"channel\": \"#alerts\",\n \"text\": \"YouTube Comment Summarizer error: {$json.error.message}\"\n },\n \"id\": \"361ae790-4e53-4a0c-8684-5a448b2ae5e9\",\n \"name\": \"Slack Alert\",\n \"type\": \"n8n-nodes-base.slack\",\n \"typeVersion\": 1,\n \"position\": [\n 930,\n 120\n ],\n \"credentials\": {\n \"slackApi\": {\n \"id\": \"SLACK_API\",\n \"name\": \"Slack\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Text Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Window Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Pinecone Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Pinecone Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"RAG Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"RAG Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Append Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"onError\": [\n [\n {\n \"node\": \"Slack Alert\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"triggerCount\": 1\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "YouTube Comment Summarizer", "node_count": 12, "category": "Data Processing"}} {"prompt": "How would you build: Airport Lounge Finder?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Airport Lounge Finder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Airport Lounge Finder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"530a91dd-c148-4078-8c75-34bea7ab4100\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"airport_lounge_finder\"\n },\n \"id\": \"618297ee-f2c3-4771-b4b8-ca10085efb5c\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"53279a3e-2797-4b54-a15e-60123a6ae091\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"ce7a56bb-d36d-496e-baa3-fb242531cc96\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"airport_lounge_finder\"\n },\n \"id\": \"6a809676-30e2-4507-a7dc-41bed507b479\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"airport_lounge_finder\"\n },\n \"id\": \"31dc5181-6f83-424d-a9fd-8706df3d524f\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreRedis\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"redisApi\": {\n \"id\": \"REDIS_API\",\n \"name\": \"Redis account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Redis\"\n },\n \"id\": \"da30c8c9-9ea8-4c74-9660-5bdc9dffd9fd\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a7d6fb97-4c3c-4b53-8161-210830f3ecf9\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"e2c411a2-0f5b-4964-979a-7cb6311c7756\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"340516f7-e12d-4dcc-9852-fdffce2302d4\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"3e999c21-3608-4f0e-b250-2d9f1229c08a\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Airport Lounge Finder", "node_count": 11, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Currency Exchange Estimator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Currency Exchange Estimator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"d5b91663-402e-4601-98df-3f8f1399993f\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"currency_exchange_estimator\"\n },\n \"id\": \"d081818b-2d6c-466a-9914-6740afcbd7af\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ca2119ff-edea-4305-b2c5-7198b24e6538\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6bf1f530-dcfe-463a-acb0-5cc4116ad4b4\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"currency_exchange_estimator\"\n },\n \"id\": \"c5b61329-227e-42fe-b183-ce0891aa9017\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"currency_exchange_estimator\"\n },\n \"id\": \"15a1b2e0-2cb5-4bc9-935b-24a493c404ea\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"7f18286e-ba90-47ea-a603-432cceabc5c0\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f69b9d78-6f83-4b70-99a8-17c380063a49\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"1048f1ff-7f01-4304-94e6-09388ff5d1d3\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"d7b31857-87ed-46e5-8d87-6f8466188c6a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d8f0a755-3496-4e14-b016-f98eedb8b69c\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Currency Exchange Estimator", "node_count": 11, "category": "Data Processing"}} {"prompt": "How would you build: Flight Price Drop Alert?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Flight Price Drop Alert\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Flight Price Drop Alert\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"2e971a9b-a6ba-4497-8110-fe07b7a47b42\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"flight_price_drop_alert\"\n },\n \"id\": \"9acabf76-8493-4272-9738-3b188b02d72a\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c0844651-967a-4a74-8ec7-21b8ad69c57e\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"9e584208-6ee6-4d88-928d-ebea7670029f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"flight_price_drop_alert\"\n },\n \"id\": \"68ba07d4-4a88-488f-b516-3af28bf2e448\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"flight_price_drop_alert\"\n },\n \"id\": \"e8555ffa-cd0a-43b9-9877-0224cec55b1c\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"8adc9dca-87b4-4d3b-a491-ae2bfa48fa92\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"20c201df-db6e-4532-92eb-423d9ed792f0\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"729d441d-a5fa-44c7-9fca-ed1e9a3b7eb7\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"960b4ad9-0550-4dc9-932b-ee0cc272c739\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"c1386b51-3a1c-4d40-aa44-90ea2d247c4e\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Flight Price Drop Alert", "node_count": 11, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter to hotel review sentiment", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Hotel Review Sentiment\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Hotel Review Sentiment\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"3f6dc161-7d19-4399-8fad-b801e4406848\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"hotel_review_sentiment\"\n },\n \"id\": \"5f8dd254-d4f6-4fa2-a17a-743eae80b24d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"98b19fc7-ec4f-460e-948a-5a7855399235\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"2133104f-a360-4cc1-8dee-92a6da93ea3e\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsHuggingFace\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"hotel_review_sentiment\"\n },\n \"id\": \"ab99b854-32da-4fed-9fdc-6285c1e5beff\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"hotel_review_sentiment\"\n },\n \"id\": \"b45e5508-bafd-46cd-9e8e-1bc562b2fba8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"e31d2844-19a3-4d92-bffd-3903a368a086\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"f84bc4ec-8df1-4790-a46f-21c89b10b382\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"935f73e6-9ada-4be3-9f50-cc82f20090b6\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatHf\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"huggingFaceApi\": {\n \"id\": \"HF_API\",\n \"name\": \"HuggingFace\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"dfbefb06-2a27-425f-89fe-cad782edc25f\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"2459f5be-eece-42ce-b0f5-b9d678bdad6b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Hotel Review Sentiment", "node_count": 11, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for local attraction recommender", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Local Attraction Recommender\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Local Attraction Recommender\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"c8875b2e-3004-4671-b42e-93cd99950bfb\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"local_attraction_recommender\"\n },\n \"id\": \"577956ce-6f51-4178-971a-8ebbf92c54a5\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"58455fc5-a384-4884-ba46-3564b1264b98\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"e6a4e734-16d1-4a67-a91a-d061074c9808\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"local_attraction_recommender\"\n },\n \"id\": \"027b33ed-0e77-4488-a955-90c3a570a90a\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"local_attraction_recommender\"\n },\n \"id\": \"ba1871c8-c436-4258-ad97-4e8e12be2820\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"374eaeaf-2a6b-45da-a417-87415dbc5c9c\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"d7d8fd55-e069-482a-819b-0ebc788afab7\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"c6f0f5ef-7b34-4e48-8652-69ce1ba5e142\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ebc4c348-264d-4f61-99ae-796d195ff3a4\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"9cf94044-8435-4556-85b5-c71462976a0b\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Local Attraction Recommender", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Show me an n8n workflow for road trip stop planner", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Road Trip Stop Planner\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Road Trip Stop Planner\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"7d536184-157c-4ea5-82ab-16a36039a093\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"road_trip_stop_planner\"\n },\n \"id\": \"310516e2-6cf6-4f33-9b7d-64846b30b844\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"ea4b0330-8d19-43d9-8217-aecc0fb695f7\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"6053017d-4ff3-4dc3-b761-594b66511f4f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"road_trip_stop_planner\"\n },\n \"id\": \"a57a88e7-f41b-4fe4-8fe2-7ffa700e6e0f\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"road_trip_stop_planner\"\n },\n \"id\": \"c1d0e07a-78d8-4991-a232-0e0a7a1b65dc\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"c8ed4718-d847-4f29-a565-5324b8b0d1f2\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"37a5f80f-6429-44a5-ac60-59b2c283b30a\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"237ca8b6-c42d-4ff0-b449-b3a3f20be581\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ec1a9e0a-e0b2-4828-a653-922679428060\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"ffb2326d-0718-4a1b-a3de-6eb3d1bc4cec\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Road Trip Stop Planner", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "Show me an n8n workflow for travel advisory monitor", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Travel Advisory Monitor\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Travel Advisory Monitor\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"ab9739ac-4194-4e32-9620-3923fc24f2f9\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"travel_advisory_monitor\"\n },\n \"id\": \"4af6e847-4430-45f0-9e76-a94d9e9a28ab\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"c463d22d-a263-4490-8884-8fd4856e0d60\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"5b0691eb-bc7d-4ffa-b631-3716aa36828b\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"travel_advisory_monitor\"\n },\n \"id\": \"8ca39aa9-31f3-4bde-ae95-5e227e459d47\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"travel_advisory_monitor\"\n },\n \"id\": \"9bcc8bb2-006a-4721-9120-96c8263a099b\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"PINECONE_API\",\n \"name\": \"Pinecone account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Pinecone\"\n },\n \"id\": \"47c1e1d1-5771-4cd6-a9b6-b6cac851ff55\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a7f34fd8-dd43-4232-b0f8-833ce967451b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0097de3e-b28f-4a5a-a943-97f6e1a0f19c\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"47b6fa5a-7a44-4cbc-9f53-7d1acaf88246\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"0c99e1db-e004-4ea3-92cb-8c2234654b47\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Travel Advisory Monitor", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to travel itinerary builder", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Travel Itinerary Builder\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Travel Itinerary Builder\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"10740118-8e03-4ff7-bb9f-6045e8b852a6\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"travel_itinerary_builder\"\n },\n \"id\": \"41299a24-30dd-4e7c-ab6e-54839ecc7ec8\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"498deabf-f6a6-4538-a7c1-8484fbc355d0\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"81de715b-99e2-4fed-a9b7-bf59fdc0c6e0\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"travel_itinerary_builder\"\n },\n \"id\": \"aab7e17f-881f-4f94-810b-eae10cde713b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"travel_itinerary_builder\"\n },\n \"id\": \"54b1625f-cd03-489c-80bf-e55862388124\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"5c920c0a-df2a-47df-b696-acb093a4f421\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"de0168af-87f9-48f8-b4cf-c1529e73bdcf\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"ee01524b-3535-4671-8a46-a2abc55e4dfe\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"ebaef4fb-bc83-43d1-8efd-58c78c2f5012\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"6aaf624c-940d-41ab-b013-04cc3dc63814\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Travel Itinerary Builder", "node_count": 11, "category": "Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to visa requirement checker", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Visa Requirement Checker\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Visa Requirement Checker\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"2ac95194-ff1f-4720-8e5c-f21c7e344a47\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"visa_requirement_checker\"\n },\n \"id\": \"765b16c9-1458-4756-a31b-ac4eb5c3ab90\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"d3c71f7f-27f8-48ad-ac30-293647138afe\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"c8fb7955-8c09-42d5-940f-ba84912d1b2f\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsCohere\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"cohereApi\": {\n \"id\": \"COHERE_API\",\n \"name\": \"Cohere\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"visa_requirement_checker\"\n },\n \"id\": \"ad8b5ada-6bd5-49c6-a51b-fe251cfbb9fd\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"visa_requirement_checker\"\n },\n \"id\": \"6e9db8d0-a986-416b-9e6a-4557c6b9a4e4\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreWeaviate\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"weaviateApi\": {\n \"id\": \"WEAVIATE_API\",\n \"name\": \"Weaviate account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Weaviate\"\n },\n \"id\": \"c40282f2-0587-43b4-b1b5-f361b74dcb53\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"a7d1d0c6-18b8-4d76-9fdd-f5949b11d35b\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"720cbc6b-fce7-4461-abed-1bea45c2a24a\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"92f7c0e4-71e1-4028-bd25-c5571eb70d6a\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"16cd57fd-8a35-48a7-b386-86fbbcb20b54\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Visa Requirement Checker", "node_count": 11, "category": "AI & LLM + Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic to weather packing list generator", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"Weather Packing List Generator\",\n \"nodes\": [\n {\n \"parameters\": {\n \"content\": \"## Weather Packing List Generator\",\n \"height\": 520,\n \"width\": 1100\n },\n \"id\": \"663459c9-092e-4569-8301-369ad97e4060\",\n \"name\": \"Sticky\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"typeVersion\": 1,\n \"position\": [\n -500,\n -250\n ]\n },\n {\n \"parameters\": {\n \"httpMethod\": \"POST\",\n \"path\": \"weather_packing_list_generator\"\n },\n \"id\": \"371ab737-f613-46a3-b7f4-58080792365f\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"typeVersion\": 1,\n \"position\": [\n -300,\n 0\n ]\n },\n {\n \"parameters\": {\n \"chunkSize\": 400,\n \"chunkOverlap\": 40\n },\n \"id\": \"75ba6799-d1bd-437c-9829-f65ddc07f512\",\n \"name\": \"Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter\",\n \"typeVersion\": 1,\n \"position\": [\n -100,\n 0\n ]\n },\n {\n \"parameters\": {\n \"model\": \"default\"\n },\n \"id\": \"fd275eeb-648c-417c-9f08-1ff3a5826648\",\n \"name\": \"Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"typeVersion\": 1,\n \"position\": [\n 100,\n 0\n ],\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"OPENAI_API\",\n \"name\": \"OpenAI\"\n }\n }\n },\n {\n \"parameters\": {\n \"mode\": \"insert\",\n \"indexName\": \"weather_packing_list_generator\"\n },\n \"id\": \"bfd1a7dc-cc74-4c34-978c-bdae5d7e165b\",\n \"name\": \"Insert\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n 0\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"indexName\": \"weather_packing_list_generator\"\n },\n \"id\": \"99d12d16-0fae-46bc-a8bf-7693d8ee51c8\",\n \"name\": \"Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"typeVersion\": 1,\n \"position\": [\n 300,\n -180\n ],\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"SUPABASE_API\",\n \"name\": \"Supabase account\"\n }\n }\n },\n {\n \"parameters\": {\n \"name\": \"Supabase\"\n },\n \"id\": \"bf50c18d-790c-4171-a57c-ac337ee89305\",\n \"name\": \"Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -180\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"0cd25191-08e2-4a63-9e17-24b7e743f162\",\n \"name\": \"Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"typeVersion\": 1.3,\n \"position\": [\n 480,\n -40\n ]\n },\n {\n \"parameters\": {},\n \"id\": \"5abf0fe1-3c72-4f5a-96aa-76c67d179415\",\n \"name\": \"Chat\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"typeVersion\": 1,\n \"position\": [\n 480,\n -340\n ],\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"ANTHROPIC_API\",\n \"name\": \"Anthropic\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"={{ $json }}\"\n },\n \"id\": \"c77c5765-fb87-4732-bc89-cc1b3799c12d\",\n \"name\": \"Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1,\n \"position\": [\n 760,\n -40\n ]\n },\n {\n \"parameters\": {\n \"operation\": \"append\",\n \"documentId\": \"SHEET_ID\",\n \"sheetName\": \"Log\"\n },\n \"id\": \"d16d263c-b1f5-4700-ba74-cadbb92cb506\",\n \"name\": \"Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"typeVersion\": 4,\n \"position\": [\n 960,\n -40\n ],\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"SHEETS_API\",\n \"name\": \"Sheets\"\n }\n }\n }\n ],\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Splitter\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Memory\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Splitter\": {\n \"main\": [\n [\n {\n \"node\": \"Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ],\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n },\n {\n \"node\": \"Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Insert\": {\n \"ai_document\": [\n []\n ]\n },\n \"Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n }\n}\n```", "metadata": {"source": "wassupjay/n8n-free-templates", "workflow_name": "Weather Packing List Generator", "node_count": 11, "category": "AI & LLM + Data Processing + Database"}} {"prompt": "How would you build: Ai Product Images?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.wait, n8n-nodes-base.splitInBatches, n8n-nodes-base.convertToFile, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.manualTrigger, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"name\": \"AI product Images\",\n \"nodes\": [\n {\n \"parameters\": {},\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"typeVersion\": 1,\n \"position\": [\n 0,\n 0\n ],\n \"id\": \"1ddfbdfd-f3c0-4ef5-8b48-a3ae77a92955\",\n \"name\": \"When clicking ‘Test workflow’\"\n },\n {\n \"parameters\": {\n \"resource\": \"fileFolder\",\n \"filter\": {\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"1NQ_9HXkMrjm_DPZENAmwRo0JJkvQm8BU\",\n \"mode\": \"id\"\n }\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 220,\n 0\n ],\n \"id\": \"6feb317d-1d43-4174-a5a3-b9e4a2bf46e6\",\n \"name\": \"Google Drive\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"download\",\n \"fileId\": {\n \"__rl\": true,\n \"value\": \"={{$json[\\\"id\\\"]}}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 460,\n 0\n ],\n \"id\": \"b5232274-25a6-43b7-a424-dcfff47057ba\",\n \"name\": \"Google Drive1\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"image\",\n \"operation\": \"analyze\",\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"text\": \"Describe the visual style of this image, what stands out. if you had to have a holistic overview, as a professional facebook ads designer. How would you explain this image / or images to be able to reproduce the elements that make it work for other ads.\\n\\nThe core goal of the output here should be to create a template of the style for inspirations. As later we will take ideas from these to generate our own high converting facebook ads.\\n\\nensure you do not make this product specific, rather focusing on creating outlines for static ad styles. so keep ti vague in terms of what exactly is in the ad, but rather the principles of the ad\",\n \"inputType\": \"base64\",\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 720,\n -20\n ],\n \"id\": \"ff9ab47d-5980-4d2d-ab5e-1e76d0df87ab\",\n \"name\": \"OpenAI\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"hLlMCh2BqN9e4ile\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"fileFolder\",\n \"searchMethod\": \"query\",\n \"filter\": {\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"11t72SNGpHJvGk-UurfuLwGpdMz37-cwW\",\n \"mode\": \"id\"\n }\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 220,\n 240\n ],\n \"id\": \"b5e0b994-cde8-4069-bdac-3173ecf8ccfb\",\n \"name\": \"Google Drive2\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"operation\": \"download\",\n \"fileId\": {\n \"__rl\": true,\n \"value\": \"={{$json[\\\"id\\\"]}}\",\n \"mode\": \"id\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 460,\n 240\n ],\n \"id\": \"41b44442-46d1-40b7-9a26-57f410d0426b\",\n \"name\": \"Google Drive3\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n },\n {\n \"parameters\": {\n \"resource\": \"image\",\n \"operation\": \"analyze\",\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4o\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"text\": \"Analyse our product image. Identify the core emotions behind it and the main product. we will use this later to connect the product image with some ad styles and generate our own ads\",\n \"inputType\": \"base64\",\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 700,\n 240\n ],\n \"id\": \"1eea9b08-38d1-48dc-b578-88d0818de342\",\n \"name\": \"OpenAI1\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"hLlMCh2BqN9e4ile\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"value\": \"gpt-4\",\n \"mode\": \"list\",\n \"cachedResultName\": \"gpt-4\"\n },\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"typeVersion\": 1.2,\n \"position\": [\n 1040,\n 420\n ],\n \"id\": \"6a97f2fe-fc62-4591-bb03-37d4ae24343c\",\n \"name\": \"OpenAI Chat Model\",\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"hLlMCh2BqN9e4ile\",\n \"name\": \"OpenAi account\"\n }\n }\n },\n {\n \"parameters\": {\n \"promptType\": \"define\",\n \"text\": \"=You’ve been given an outline that includes: \\n\\n(use all the data from here when creating the prompts {{ $json.choices[0].message.content }} - it is also critical our product image is displayed in here: {{ $('OpenAI1').item.json.content }} )\\n\\nWhat the product is and who it’s for\\n\\nWhat’s visible in the product image (e.g. background, angle, lighting)\\n\\nPatterns and emotional triggers from top-performing ad examples\\n\\nYour task:\\nUsing this outline, generate 10 image ad prompts that follow this format exactly:\\n\\nprompt: [Detailed visual description of the ad concept]\\n\\nEach prompt should include:\\n\\nA bold, testimonial-style headline (in quotation marks at the top)\\n\\nA clear description of the emotional transformation the image should convey\\n\\nWhat is shown in the image (body parts, facial expressions, environment, etc.)\\n\\nWhere and how the product is placed\\n\\nThe color palette and visual tone (e.g., icy blue for calm, red for pain)\\n\\nWhere the headline should appear on the image\\n\\nRendering style (e.g., cinematic, hyperrealistic, dramatic shadows)\\n\\nFinal format for Facebook or Instagram (1:1 format always)\\n\\nRepeat this 10 times. Each one must be unique, emotionally powerful, and visually clear.\",\n \"hasOutputParser\": true,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"typeVersion\": 1.9,\n \"position\": [\n 1120,\n 240\n ],\n \"id\": \"16138c72-2b3d-4c4b-9d11-ad91d15c2e4c\",\n \"name\": \"AI prompt agent\"\n },\n {\n \"parameters\": {\n \"jsonSchemaExample\": \"[\\n {\\n \\\"Prompt\\\": \\\"Sun-drenched poolside shot of the product on a marble ledge at golden hour, with soft shadows and warm tones. Aspect ratio 1:1.\\\"\\n },\\n {\\n \\\"Prompt\\\": \\\"Cool lavender-tinted sunset beach backdrop behind the product, highlighting reflective metallic accents. Aspect ratio 4:5.\\\"\\n },\\n {\\n \\\"Prompt\\\": \\\"...\\\"\\n }\\n]\\n\"\n },\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"typeVersion\": 1.2,\n \"position\": [\n 1380,\n 420\n ],\n \"id\": \"8fbfad99-d724-45a9-9b3e-e45e486dcfc5\",\n \"name\": \"Structured Output Parser\"\n },\n {\n \"parameters\": {\n \"fieldToSplitOut\": \"output\",\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitOut\",\n \"typeVersion\": 1,\n \"position\": [\n 1560,\n 160\n ],\n \"id\": \"508946cd-0aed-4858-bf5a-c25e64371ea4\",\n \"name\": \"Split Out\"\n },\n {\n \"parameters\": {\n \"method\": \"POST\",\n \"url\": \"https://api.openai.com/v1/images/generations\",\n \"sendHeaders\": true,\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer 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\"\n },\n {\n \"name\": \"Content-type\",\n \"value\": \"application/json\"\n }\n ]\n },\n \"sendBody\": true,\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"model\",\n \"value\": \"gpt-image-1\"\n },\n {\n \"name\": \"prompt\",\n \"value\": \"={{ $json.Prompt }}\"\n },\n {\n \"name\": \"size\",\n \"value\": \"1024x1024\"\n }\n ]\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"typeVersion\": 4.2,\n \"position\": [\n 2320,\n 160\n ],\n \"id\": \"ab08c200-9ff9-4dd9-86be-09b8f1e219a9\",\n \"name\": \"HTTP Request1\"\n },\n {\n \"parameters\": {\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"typeVersion\": 3,\n \"position\": [\n 1840,\n 160\n ],\n \"id\": \"dc69258e-7c57-4158-92af-7257ba85102e\",\n \"name\": \"Loop Over Items1\"\n },\n {\n \"parameters\": {\n \"amount\": 15\n },\n \"type\": \"n8n-nodes-base.wait\",\n \"typeVersion\": 1.1,\n \"position\": [\n 2100,\n 160\n ],\n \"id\": \"1af8885e-00a3-49f1-b159-1a02eba84a84\",\n \"name\": \"Wait\",\n \"webhookId\": \"9f2950cd-2ab2-405f-83d7-4f44e15e16f2\"\n },\n {\n \"parameters\": {\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"data[0].b64_json\",\n \"options\": {\n \"fileName\": \"image.png\",\n \"mimeType\": \"image/png\"\n }\n },\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"typeVersion\": 1.1,\n \"position\": [\n 2540,\n 160\n ],\n \"id\": \"535a5a20-11ab-476a-be3b-07e23073d5f5\",\n \"name\": \"Convert to File\"\n },\n {\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"value\": \"gpt-4\",\n \"mode\": \"list\",\n \"cachedResultName\": \"GPT-4\"\n },\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Analyse this prompt which is a template of a high converting facebook ad we have built {{ $json.content }}\\n\\nNow we will take this template, and add our product in as the hero for our ads{{ $json.content}}\\n\\nensure the template is applied to make our product the hereo, with all copy, colours and vibe being focused on making the product stand out, in a facebook ad, deisgn to convert.\\n\\nMake a relevant prompt & outline as our next step in the flow is to break down this prompt (combining the facebook ad visual style, with our product image) and spit it into 10 prompts, all to create individual statics.\\n\\nDo what you think is best to pass this information forward.\",\n \"role\": \"system\"\n },\n {\n \"content\": \"Put both pieces of data together and only generate 1 output prompt\\n\"\n }\n ]\n },\n \"simplify\": false,\n \"options\": {}\n },\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"typeVersion\": 1.8,\n \"position\": [\n 1020,\n -20\n ],\n \"id\": \"a01ff233-7e6f-456e-b691-f54a5c73aee0\",\n \"name\": \"OpenAI2\",\n \"executeOnce\": false,\n \"alwaysOutputData\": false,\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"CiqduZPbaJF5yveA\",\n \"name\": \"OpenAi account 2\"\n }\n }\n },\n {\n \"parameters\": {\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"folderId\": {\n \"__rl\": true,\n \"value\": \"1V_USzVT-v-6LIjk3HPd0nlr2vnv4nJAr\",\n \"mode\": \"list\",\n \"cachedResultName\": \"n8n testing\",\n \"cachedResultUrl\": \"https://drive.google.com/drive/folders/1V_USzVT-v-6LIjk3HPd0nlr2vnv4nJAr\"\n },\n \"options\": {}\n },\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"typeVersion\": 3,\n \"position\": [\n 2780,\n 160\n ],\n \"id\": \"3deb2f20-abc3-439e-b181-24c1956a4657\",\n \"name\": \"Google Drive4\",\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"mVYRcVX1PvkdODpc\",\n \"name\": \"Google Drive account\"\n }\n }\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive2\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive3\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI prompt agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"AI prompt agent\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"AI prompt agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items1\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to File\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI2\": {\n \"main\": [\n [\n {\n \"node\": \"AI prompt agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive4\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n },\n \"active\": false,\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"85462564-6f39-41df-b09c-9507c177c96a\",\n \"meta\": {\n \"templateCredsSetupCompleted\": true,\n \"instanceId\": \"aa305389a9f146cc99db373653903c47ecf7fe4bb66df261da9bedf94add0f72\"\n },\n \"id\": \"XZrlhnSYaHKcAdp4\",\n \"tags\": []\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "AI product Images", "node_count": 17, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles webhooks", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 5\n- Node Types: n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.respondToWebhook\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"Q8On8rR6BkmPzDUd\",\n \"meta\": {\n \"instanceId\": \"f57770b08f6a574802832e927ed1b0063c627ffc5b95965abf0d4a7396150138\"\n },\n \"name\": \"chrome extension backend with AI\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"0f38fe62-36d9-43da-a992-a3981377e89e\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -220,\n -20\n ],\n \"webhookId\": \"e9a97dd5-f1e7-4d5b-a6f1-be5f0c9eb96c\",\n \"parameters\": {\n \"path\": \"e9a97dd5-f1e7-4d5b-a6f1-be5f0c9eb96c\",\n \"options\": {},\n \"httpMethod\": \"POST\",\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"83959562-edf5-4d37-bd11-47186c6a31c7\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n -40,\n -20\n ],\n \"parameters\": {\n \"text\": \"You are an expert financial analyst tasked with providing an advanced technical analyses of a stock or crypto currency chart provided. Your analysis will be based on various technical indicators and will provide simple insights for novice traders. Just explain to traders were you expect the market is moving. Also warn them this is not a binding advice. Make sure to explain everything in infant language.\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"resource\": \"image\",\n \"inputType\": \"base64\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8MS1muoK4z86fxUs\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"c6f1f833-7ba3-49c5-86df-f586e6bb5975\",\n \"name\": \"Respond to Webhook\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 140,\n -20\n ],\n \"parameters\": {\n \"options\": {},\n \"respondWith\": \"text\",\n \"responseBody\": \"={{ $json.content }}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"e3a38a76-283b-4567-a8da-315ef1e2bc4f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -260,\n -140\n ],\n \"parameters\": {\n \"width\": 620,\n \"height\": 300,\n \"content\": \"## N8N en OpenAI image analyser\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8e7e26db-8767-4727-ab0c-900b50a73411\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -80,\n 180\n ],\n \"parameters\": {\n \"color\": 5,\n \"height\": 340,\n \"content\": \"## AI prompt\\nYou are an expert financial analyst tasked with providing an advanced technical analyses of a stock or crypto currency chart provided. Your analysis will be based on various technical indicators and will provide simple insights for novice traders. Just explain to traders were you expect the market is moving. Also warn them this is not a binding advice. Make sure to explain everything in infant language.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"caf32442-e9c5-466a-8888-9abd2c1b3449\",\n \"connections\": {\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "chrome extension backend with AI", "node_count": 5, "category": "Webhooks"}} {"prompt": "Design a workflow using n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote to [3/3] anomaly detection tool (crops dataset)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"G8jRDBvwsMkkMiLN\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[3/3] Anomaly detection tool (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"spMntyrlE9ydvWFA\",\n \"name\": \"anomaly-detection\",\n \"createdAt\": \"2024-12-08T22:05:15.945Z\",\n \"updatedAt\": \"2024-12-09T12:50:19.287Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"e01bafec-eb24-44c7-b3c4-a60f91666350\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 400,\n \"height\": 740,\n \"content\": \"We are working here with crops dataset: \\nExisting (so not anomalies) crops images in dataset are:\\n- 'pearl_millet(bajra)',\\n- 'tobacco-plant',\\n- 'cherry',\\n- 'cotton',\\n- 'banana',\\n- 'cucumber',\\n- 'maize',\\n- 'wheat',\\n- 'clove',\\n- 'jowar',\\n- 'olive-tree',\\n- 'soyabean',\\n- 'coffee-plant',\\n- 'rice',\\n- 'lemon',\\n- 'mustard-oil',\\n- 'vigna-radiati(mung)',\\n- 'coconut',\\n- 'gram',\\n- 'pineapple',\\n- 'sugarcane',\\n- 'sunflower',\\n- 'chilli',\\n- 'fox_nut(makhana)',\\n- 'jute',\\n- 'papaya',\\n- 'tea',\\n- 'cardamom',\\n- 'almond'\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b9943781-de1f-4129-9b81-ed836e9ebb11\",\n \"name\": \"Embed image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 680,\n 60\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"image_url\\\",\\n \\\"image_url\\\": $('Image URL hardcode').first().json.imageURL\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"47b72bc2-4817-48c6-b517-c1328e402468\",\n \"name\": \"Get similarity of medoids\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 940,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.data[0].embedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"limit\\\": $('Info About Crop Labeled Clusters').first().json.cropsNumber,\\n \\\"with_payload\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n { \\n \\\"key\\\": $('Variables for medoids').first().json.clusterCenterType,\\n \\\"match\\\": {\\n \\\"value\\\": true\\n }\\n }\\n ]\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"42d7eb27-ec38-4406-b5c4-27eb45358e93\",\n \"name\": \"Compare scores\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1140,\n 60\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"points = _input.first()['json']['result']['points']\\nthreshold_type = _('Variables for medoids').first()['json']['clusterThresholdCenterType']\\n\\nmax_score = -1\\ncrop_with_max_score = None\\nundefined = True\\n\\nfor center in points:\\n if center['score'] >= center['payload'][threshold_type]:\\n undefined = False\\n if center['score'] > max_score:\\n max_score = center['score']\\n crop_with_max_score = center['payload']['crop_name']\\n\\nif undefined:\\n result_message = \\\"ALERT, we might have a new undefined crop!\\\"\\nelse:\\n result_message = f\\\"Looks similar to {crop_with_max_score}\\\"\\n\\nreturn [{\\n \\\"json\\\": {\\n \\\"result\\\": result_message\\n }\\n}]\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"23aa604a-ff0b-4948-bcd5-af39300198c0\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n -220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 380,\n \"content\": \"## Crop Anomaly Detection Tool\\n### This is the tool that can be used directly for anomalous crops detection. \\nIt takes as input (any) **image URL** and returns a **text message** telling if whatever this image depicts is anomalous to the crop dataset stored in Qdrant. \\n\\n* An Image URL is received via the Execute Workflow Trigger which is used to generate embedding vectors via the Voyage.ai Embeddings API.\\n* The returned vectors are used to query the Qdrant collection to determine if the given crop is known by comparing it to **threshold scores** of each image class (crop type).\\n* If the image scores lower than all thresholds, then the image is considered an anomaly for the dataset.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a79eca2-44f9-4aee-8a0d-9c7ca2f9149d\",\n \"name\": \"Variables for medoids\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -200,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dbbc1e7b-c63e-4ff1-9524-8ef3e9f6cd48\",\n \"name\": \"clusterCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid\"\n },\n {\n \"id\": \"a994ce37-2530-4030-acfb-ec777a7ddb05\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"12f0a9e6-686d-416e-a61b-72d034ec21ba\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n },\n {\n \"id\": \"4c88a617-d44f-4776-b457-8a1dffb1d03c\",\n \"name\": \"clusterThresholdCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid_cluster_threshold\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"13b25434-bd66-4293-93f1-26c67b9ec7dd\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -340,\n 260\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 360,\n \"height\": 200,\n \"content\": \"**clusterCenterType** - either\\n* \\\"is_text_anchor_medoid\\\" or\\n* \\\"is_medoid\\\"\\n\\n\\n**clusterThresholdCenterType** - either\\n* \\\"is_text_anchor_medoid_cluster_threshold\\\" or\\n* \\\"is_medoid_cluster_threshold\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"869b0962-6cae-487d-8230-539a0cc4c14c\",\n \"name\": \"Info About Crop Labeled Clusters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 440,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5327b254-b703-4a34-a398-f82edb1d6d6b\",\n \"name\": \"=cropsNumber\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.hits.length }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"5d3956f8-f43b-439e-b176-a594a21d8011\",\n \"name\": \"Total Points in Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 40,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/count\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"exact\\\": true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"14ba3db9-3965-4b20-b333-145616d45c3a\",\n \"name\": \"Each Crop Counts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 240,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/facet\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"limit\\\": $json.result.count,\\n \\\"exact\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e37c6758-0556-4a56-ab14-d4df663cb53a\",\n \"name\": \"Image URL hardcode\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -480,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"46ceba40-fb25-450c-8550-d43d8b8aa94c\",\n \"name\": \"imageURL\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query.imageURL }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"b24ad1a7-0cf8-4acc-9c18-6fe9d58b10f2\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n -720,\n 60\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"50424f2b-6831-41bf-8de4-81f69d901ce1\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -240,\n -80\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 120,\n \"content\": \"Variables to access Qdrant's collection we uploaded & prepared for anomaly detection in 2 previous pipelines\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e8ed3ca-1bba-4214-b34b-376a237842ff\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 40,\n -120\n ],\n \"parameters\": {\n \"width\": 560,\n \"height\": 140,\n \"content\": \"These three nodes are needed just to figure out how many different classes (crops) we have in our Qdrant collection: **cropsNumber** (needed in *\\\"Get similarity of medoids\\\"* node. \\n[Note] *\\\"Total Points in Collection\\\"* -> *\\\"Each Crop Counts\\\"* were used&explained already in *\\\"[2/4] Set up medoids (2 types) for anomaly detection (crops dataset)\\\"* pipeline.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e2fa5763-6e97-4ff5-8919-1cb85a3c6968\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 240\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"Here, we're embedding the image passed to this workflow tool with the Voyage embedding model to compare the image to all crop images in the database.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cdb6b8d3-f7f4-4d66-850f-ce16c8ed98b9\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n 220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 180,\n \"content\": \"Checking how similar the image is to all the centres of clusters (crops).\\nIf it's more similar to the thresholds we set up and stored in centres in the previous workflow, the image probably belongs to this crop class; otherwise, it's anomalous to the class. \\nIf image is anomalous to all the classes, it's an anomaly.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"03b4699f-ba43-4f5f-ad69-6f81deea2641\",\n \"name\": \"Sticky Note22\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -620,\n 580\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 300,\n \"content\": \"### For anomaly detection\\n1. The first pipeline is uploading (crops) dataset to Qdrant's collection.\\n2. The second pipeline sets up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.\\n3. **This is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.**\\n\\n### To recreate it\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"imageURL\": \"https://storage.googleapis.com/n8n-qdrant-demo/agricultural-crops%2Fcotton%2Fimage%20(36).jpg\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"f67b764b-9e1a-4db0-b9f2-490077a62f74\",\n \"connections\": {\n \"Embed image\": {\n \"main\": [\n [\n {\n \"node\": \"Get similarity of medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Each Crop Counts\": {\n \"main\": [\n [\n {\n \"node\": \"Info About Crop Labeled Clusters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image URL hardcode\": {\n \"main\": [\n [\n {\n \"node\": \"Variables for medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Variables for medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Total Points in Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Image URL hardcode\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get similarity of medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Compare scores\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Total Points in Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Each Crop Counts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Info About Crop Labeled Clusters\": {\n \"main\": [\n [\n {\n \"node\": \"Embed image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[3/3] Anomaly detection tool (crops dataset)", "node_count": 17, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to autonomous ai crawler", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.supabase, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.html, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"6cdc45e5-1fa4-47fe-b80a-0e1560996936\",\n \"name\": \"Text\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1460,\n 980\n ],\n \"parameters\": {\n \"name\": \"text_retrieval_tool\",\n \"source\": \"parameter\",\n \"description\": \"Call this tool to return all text from the given website. Query should be full website URL.\",\n \"workflowJson\": \"{\\n \\\"nodes\\\": [\\n {\\n \\\"parameters\\\": {},\\n \\\"id\\\": \\\"05107436-c9cb-419b-ae8a-b74d309a130d\\\",\\n \\\"name\\\": \\\"Execute workflow\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.manualTrigger\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 2220,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.query }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"bb8be616-3227-4705-8520-1827069faacd\\\",\\n \\\"name\\\": \\\"Set domain\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2440,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"ed0f1505-82b6-4393-a0d8-088055137ec9\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.domain.startsWith(\\\\\\\"http\\\\\\\") ? $json.domain : \\\\\\\"http://\\\\\\\" + $json.domain }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"bdf29340-f135-489f-848e-1c7fa43a01df\\\",\\n \\\"name\\\": \\\"Add protocool to domain\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2640,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"2b1c7ff8-06a7-448b-99b7-5ede4b2e0bf0\\\",\\n \\\"name\\\": \\\"response\\\",\\n \\\"value\\\": \\\"={{ $json.data }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"9f0aa264-08c1-459a-bb99-e28599fe8f76\\\",\\n \\\"name\\\": \\\"Set response\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 3300,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"url\\\": \\\"={{ $json.domain }}\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"cec7c8e8-bf5e-43d5-aa41-876293dbec78\\\",\\n \\\"name\\\": \\\"Get website\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.httpRequest\\\",\\n \\\"typeVersion\\\": 4.2,\\n \\\"position\\\": [\\n 2860,\\n 620\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"html\\\": \\\"={{ $json.data }}\\\",\\n \\\"options\\\": {\\n \\\"ignore\\\": \\\"a,img\\\"\\n }\\n },\\n \\\"id\\\": \\\"1af94fcb-bca3-45c4-9277-18878c75d417\\\",\\n \\\"name\\\": \\\"Convert HTML to Markdown\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.markdown\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 3080,\\n 620\\n ]\\n }\\n ],\\n \\\"connections\\\": {\\n \\\"Execute workflow\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set domain\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Set domain\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Add protocool to domain\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Add protocool to domain\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Get website\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Get website\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Convert HTML to Markdown\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Convert HTML to Markdown\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set response\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n }\\n },\\n \\\"pinData\\\": {}\\n}\",\n \"requestOptions\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"af8efccb-ba3c-44de-85f7-b932d7a2e3ca\",\n \"name\": \"URLs\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1640,\n 980\n ],\n \"parameters\": {\n \"name\": \"url_retrieval_tool\",\n \"source\": \"parameter\",\n \"description\": \"Call this tool to return all URLs from the given website. Query should be full website URL.\",\n \"workflowJson\": \"{\\n \\\"nodes\\\": [\\n {\\n \\\"parameters\\\": {},\\n \\\"id\\\": \\\"05107436-c9cb-419b-ae8a-b74d309a130d\\\",\\n \\\"name\\\": \\\"Execute workflow\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.manualTrigger\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 2200,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"operation\\\": \\\"extractHtmlContent\\\",\\n \\\"extractionValues\\\": {\\n \\\"values\\\": [\\n {\\n \\\"key\\\": \\\"output\\\",\\n \\\"cssSelector\\\": \\\"a\\\",\\n \\\"returnValue\\\": \\\"attribute\\\",\\n \\\"returnArray\\\": true\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"1972e13e-d923-45e8-9752-e4bf45faaccf\\\",\\n \\\"name\\\": \\\"Retrieve URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.html\\\",\\n \\\"typeVersion\\\": 1.2,\\n \\\"position\\\": [\\n 3060,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"fieldToSplitOut\\\": \\\"output\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"19703fbc-05ff-4d80-ab53-85ba6d39fc3f\\\",\\n \\\"name\\\": \\\"Split out URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.splitOut\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 3280,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"compare\\\": \\\"selectedFields\\\",\\n \\\"fieldsToCompare\\\": \\\"href\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"5cc988e7-de9b-4177-b5e7-edb3842202c8\\\",\\n \\\"name\\\": \\\"Remove duplicated\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.removeDuplicates\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 3720,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"04ced063-09f0-496c-9b28-b8095f9e2297\\\",\\n \\\"name\\\": \\\"href\\\",\\n \\\"value\\\": \\\"={{ $json.href.startsWith(\\\\\\\"/\\\\\\\") ? $('Add protocool to domain (URL)').item.json[\\\\\\\"domain\\\\\\\"] + $json.href : $json.href }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"includeOtherFields\\\": true,\\n \\\"include\\\": \\\"selected\\\",\\n \\\"includeFields\\\": \\\"title\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"4715a25d-93a7-4056-8768-e3f886a1a0c9\\\",\\n \\\"name\\\": \\\"Set domain to path\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 3940,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"conditions\\\": {\\n \\\"options\\\": {\\n \\\"caseSensitive\\\": true,\\n \\\"leftValue\\\": \\\"\\\",\\n \\\"typeValidation\\\": \\\"strict\\\"\\n },\\n \\\"conditions\\\": [\\n {\\n \\\"id\\\": \\\"d01ea6a8-7e75-40d4-98f2-25d42b245f36\\\",\\n \\\"leftValue\\\": \\\"={{ $json.href.isUrl() }}\\\",\\n \\\"rightValue\\\": \\\"\\\",\\n \\\"operator\\\": {\\n \\\"type\\\": \\\"boolean\\\",\\n \\\"operation\\\": \\\"true\\\",\\n \\\"singleValue\\\": true\\n }\\n }\\n ],\\n \\\"combinator\\\": \\\"and\\\"\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"353deefb-ae69-440c-95b6-fdadacf4bf91\\\",\\n \\\"name\\\": \\\"Filter out invalid URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.filter\\\",\\n \\\"typeVersion\\\": 2,\\n \\\"position\\\": [\\n 4160,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"aggregate\\\": \\\"aggregateAllItemData\\\",\\n \\\"include\\\": \\\"specifiedFields\\\",\\n \\\"fieldsToInclude\\\": \\\"title,href\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"9f87be8c-72d7-4ab1-b297-dc7069b2dd11\\\",\\n \\\"name\\\": \\\"Aggregate URLs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.aggregate\\\",\\n \\\"typeVersion\\\": 1,\\n \\\"position\\\": [\\n 4380,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"conditions\\\": {\\n \\\"options\\\": {\\n \\\"caseSensitive\\\": true,\\n \\\"leftValue\\\": \\\"\\\",\\n \\\"typeValidation\\\": \\\"strict\\\"\\n },\\n \\\"conditions\\\": [\\n {\\n \\\"id\\\": \\\"5b9b7353-bd04-4af2-9480-8de135ff4223\\\",\\n \\\"leftValue\\\": \\\"={{ $json.href }}\\\",\\n \\\"rightValue\\\": \\\"\\\",\\n \\\"operator\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"operation\\\": \\\"exists\\\",\\n \\\"singleValue\\\": true\\n }\\n }\\n ],\\n \\\"combinator\\\": \\\"and\\\"\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"35c8323a-5350-403a-9c2d-114b0527e395\\\",\\n \\\"name\\\": \\\"Filter out empty hrefs\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.filter\\\",\\n \\\"typeVersion\\\": 2,\\n \\\"position\\\": [\\n 3500,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.query }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"d9f6a148-6c8c-4a58-89f5-4e9cfcd8d910\\\",\\n \\\"name\\\": \\\"Set domain (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2400,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"ed0f1505-82b6-4393-a0d8-088055137ec9\\\",\\n \\\"name\\\": \\\"domain\\\",\\n \\\"value\\\": \\\"={{ $json.domain.startsWith(\\\\\\\"http\\\\\\\") ? $json.domain : \\\\\\\"http://\\\\\\\" + $json.domain }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"1f974444-da58-4a47-a9c3-ba3091fc1e96\\\",\\n \\\"name\\\": \\\"Add protocool to domain (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 2620,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"url\\\": \\\"={{ $json.domain }}\\\",\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"31d7c7d4-8f61-402b-858d-63dd68ac69ee\\\",\\n \\\"name\\\": \\\"Get website (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.httpRequest\\\",\\n \\\"typeVersion\\\": 4.2,\\n \\\"position\\\": [\\n 2840,\\n 740\\n ]\\n },\\n {\\n \\\"parameters\\\": {\\n \\\"assignments\\\": {\\n \\\"assignments\\\": [\\n {\\n \\\"id\\\": \\\"53c1c016-7983-4eba-a91d-da2a0523d805\\\",\\n \\\"name\\\": \\\"response\\\",\\n \\\"value\\\": \\\"={{ JSON.stringify($json.data) }}\\\",\\n \\\"type\\\": \\\"string\\\"\\n }\\n ]\\n },\\n \\\"options\\\": {}\\n },\\n \\\"id\\\": \\\"f4b6df77-96be-4b12-9a8b-ae9b7009f13d\\\",\\n \\\"name\\\": \\\"Set response (URL)\\\",\\n \\\"type\\\": \\\"n8n-nodes-base.set\\\",\\n \\\"typeVersion\\\": 3.3,\\n \\\"position\\\": [\\n 4600,\\n 740\\n ]\\n }\\n ],\\n \\\"connections\\\": {\\n \\\"Execute workflow\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set domain (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Retrieve URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Split out URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Split out URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Filter out empty hrefs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Remove duplicated\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set domain to path\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Set domain to path\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Filter out invalid URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Filter out invalid URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Aggregate URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Aggregate URLs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Set response (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Filter out empty hrefs\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Remove duplicated\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Set domain (URL)\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Add protocool to domain (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Add protocool to domain (URL)\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Get website (URL)\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n },\\n \\\"Get website (URL)\\\": {\\n \\\"main\\\": [\\n [\\n {\\n \\\"node\\\": \\\"Retrieve URLs\\\",\\n \\\"type\\\": \\\"main\\\",\\n \\\"index\\\": 0\\n }\\n ]\\n ]\\n }\\n },\\n \\\"pinData\\\": {}\\n}\",\n \"requestOptions\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"725dc9d9-dc10-4895-aedb-93ecd7494d76\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1300,\n 980\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {\n \"temperature\": 0,\n \"responseFormat\": \"json_object\"\n },\n \"requestOptions\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"Qp9mop4DylpfqiTH\",\n \"name\": \"OpenAI (avirago@avirago.pl)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2b9aa18b-e72e-486a-b307-db50e408842b\",\n \"name\": \"JSON Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1800,\n 980\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"social_media\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"platform\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The name of the social media platform (e.g., LinkedIn, Instagram)\\\"\\n },\\n \\\"urls\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"format\\\": \\\"uri\\\",\\n \\\"description\\\": \\\"A URL for the social media platform\\\"\\n }\\n }\\n },\\n \\\"required\\\": [\\\"platform\\\", \\\"urls\\\"],\\n \\\"additionalProperties\\\": false\\n }\\n }\\n },\\n \\\"required\\\": [\\\"platforms\\\"],\\n \\\"additionalProperties\\\": false\\n}\\n\",\n \"requestOptions\": {}\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"87dcfe83-01f3-439c-8175-7da3d96391b4\",\n \"name\": \"Map company name and website\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1400,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ae484e44-36bc-4d88-9772-545e579a261c\",\n \"name\": \"company_name\",\n \"type\": \"string\",\n \"value\": \"={{ $json.name }}\"\n },\n {\n \"id\": \"c426ab19-649c-4443-aabb-eb0826680452\",\n \"name\": \"company_website\",\n \"type\": \"string\",\n \"value\": \"={{ $json.website }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"a904bd16-b470-4c98-ac05-50bbc09bf24b\",\n \"name\": \"Execute workflow\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 540,\n 620\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"a9801b62-a691-457c-a52f-ac0d68c8e8b3\",\n \"name\": \"Get companies\",\n \"type\": \"n8n-nodes-base.supabase\",\n \"position\": [\n 780,\n 620\n ],\n \"parameters\": {\n \"tableId\": \"companies_input\",\n \"operation\": \"getAll\"\n },\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"TZeFGe5qO3z7X5Zk\",\n \"name\": \"Supabase (workfloows@gmail.com)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"40d8fe8a-2975-4ea5-b6ac-46e19d158eea\",\n \"name\": \"Select company name and website\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1040,\n 620\n ],\n \"parameters\": {\n \"include\": \"selected\",\n \"options\": {},\n \"assignments\": {\n \"assignments\": []\n },\n \"includeFields\": \"name,website\",\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"20aa3aea-f1f6-435c-a511-d4e8db047c6d\",\n \"name\": \"Set social media array\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1800,\n 720\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"a6e109b7-9333-44e8-aa13-590aeb91a56b\",\n \"name\": \"social_media\",\n \"type\": \"array\",\n \"value\": \"={{ $json.output.social_media }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"53f64ebf-8d9f-4718-9a33-aaae06e9cf9a\",\n \"name\": \"Merge all data\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 2040,\n 620\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"e38e590e-cc1c-485f-b6c4-e7631f1c8381\",\n \"name\": \"Insert new row\",\n \"type\": \"n8n-nodes-base.supabase\",\n \"position\": [\n 2260,\n 620\n ],\n \"parameters\": {\n \"tableId\": \"companies_output\",\n \"dataToSend\": \"autoMapInputData\"\n },\n \"credentials\": {\n \"supabaseApi\": {\n \"id\": \"TZeFGe5qO3z7X5Zk\",\n \"name\": \"Supabase (workfloows@gmail.com)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"aac08494-b324-4307-a5c5-5d5345cc9070\",\n \"name\": \"Convert HTML to Markdown\",\n \"type\": \"n8n-nodes-base.markdown\",\n \"position\": [\n 2100,\n 1314\n ],\n \"parameters\": {\n \"html\": \"={{ $json.data }}\",\n \"options\": {\n \"ignore\": \"a,img\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca6733cb-973f-4e7b-9d52-48f1af2e08e3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1420,\n 940\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 157.8125,\n \"height\": 166.55000000000004,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4acd71c9-9e31-43fc-bda6-66d6a057306b\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1600,\n 940\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 157.8125,\n \"height\": 166.55000000000004,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"359adcd6-6bb9-4d64-8dde-6a45b0439fd6\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1420,\n 1180\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 1117.5005339977713,\n \"height\": 329.45390772033636,\n \"content\": \"### Text scraper tool\\nThis tool is designed to return all text from the given webpage.\\n\\n💡 **Consider adding proxy for better crawling accuracy.**\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"84133903-dcec-4c0c-8684-fdeb49f5702d\",\n \"name\": \"Retrieve URLs\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 2120,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"output\",\n \"cssSelector\": \"a\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"2ebffed6-5517-47ff-9fcd-5ce503aa3b63\",\n \"name\": \"Split out URLs\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 2340,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"215da9b2-0c0d-4d0e-b5f9-9887be75b0c4\",\n \"name\": \"Remove duplicated\",\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"position\": [\n 2780,\n 1700\n ],\n \"parameters\": {\n \"compare\": \"selectedFields\",\n \"options\": {},\n \"fieldsToCompare\": \"href\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"55825a1c-9351-413c-858a-c44cd3078f11\",\n \"name\": \"Set domain to path\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3000,\n 1700\n ],\n \"parameters\": {\n \"include\": \"selected\",\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"04ced063-09f0-496c-9b28-b8095f9e2297\",\n \"name\": \"href\",\n \"type\": \"string\",\n \"value\": \"={{ $json.href.startsWith(\\\"/\\\") ? $('Add protocool to domain (URL)').item.json[\\\"domain\\\"] + $json.href : $json.href }}\"\n }\n ]\n },\n \"includeFields\": \"title\",\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"57858d59-2727-4291-9dc6-238101de25ea\",\n \"name\": \"Filter out invalid URLs\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 3220,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"d01ea6a8-7e75-40d4-98f2-25d42b245f36\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.href.isUrl() }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"0e487a35-8a6c-48f7-9048-fe66a5a346e8\",\n \"name\": \"Aggregate URLs\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 3440,\n 1700\n ],\n \"parameters\": {\n \"include\": \"specifiedFields\",\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\",\n \"fieldsToInclude\": \"title,href\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0062af28-8727-4ed4-b283-e250146c2085\",\n \"name\": \"Filter out empty hrefs\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 2560,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"5b9b7353-bd04-4af2-9480-8de135ff4223\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"exists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.href }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"995e04f2-f5e3-48b8-879e-913f3a9fb657\",\n \"name\": \"Set domain (text)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1460,\n 1314\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"c88f1008-00f8-4285-b595-a936e1f925a5\",\n \"name\": \"Add protocool to domain (text)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1660,\n 1314\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ed0f1505-82b6-4393-a0d8-088055137ec9\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.domain.startsWith(\\\"http\\\") ? $json.domain : \\\"http://\\\" + $json.domain }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"3bc68a89-8bab-423a-b4bf-4739739aeb07\",\n \"name\": \"Get website (text)\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1880,\n 1314\n ],\n \"parameters\": {\n \"url\": \"={{ $json.domain }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9d4782c3-872b-4e3c-9f8c-02cfea7a8ff2\",\n \"name\": \"Set response (text)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2320,\n 1314\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2b1c7ff8-06a7-448b-99b7-5ede4b2e0bf0\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2b6ffbd9-892d-4246-b47c-86ad51362ac9\",\n \"name\": \"Set domain (URL)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1460,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"253c2b17-c749-4f0a-93e8-5ff74f1ce49b\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2477677e-262e-45a3-99c3-06607b5ae270\",\n \"name\": \"Get website (URL)\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1900,\n 1700\n ],\n \"parameters\": {\n \"url\": \"={{ $json.domain }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4f84eb31-7ad4-4b10-8043-b474fc7f367a\",\n \"name\": \"Set response (URL)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3660,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"53c1c016-7983-4eba-a91d-da2a0523d805\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ JSON.stringify($json.data) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2d2288dd-2ab5-41a1-984c-ff7c5bbab8d1\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1420,\n 1560\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 2467.2678721043376,\n \"height\": 328.79842054012374,\n \"content\": \"### URL scraper tool\\nThis tool is designed to return all links (URLs) from the given webpage.\\n\\n💡 **Consider adding proxy for better crawling accuracy.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"61c1b30f-38e5-44a5-a8be-edd4df1b13e5\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 720,\n 400\n ],\n \"parameters\": {\n \"width\": 221.7729148148145,\n \"height\": 400.16865185185225,\n \"content\": \"### Get companies from database\\nRetrieve names and websites of companies from Supabase table to process crawling.\\n\\n💡 **You can replace Supabase with other database of your choice.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b6c6643a-4450-4576-b9c3-e28bc9ebed5d\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 980,\n 429.32034814814835\n ],\n \"parameters\": {\n \"width\": 221.7729148148145,\n \"height\": 370.14757037037066,\n \"content\": \"### Set parameters for execution\\nPass only `name` and `website` values from database. \\n\\n⚠️ **If you use other field namings, update this node.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52196e71-c2c2-4ec9-91ab-f7ebc9874d6c\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1360,\n 536.6201859111013\n ],\n \"parameters\": {\n \"width\": 339.7128777777775,\n \"height\": 328.4957622370491,\n \"content\": \"### Crawling agent (retrieve social media profile links)\\nCrawl website to extract social media profile links and return them in unified JSON format.\\n\\n💡 **You can change type of retrieved data by editing prompt and parser schema.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ea11931b-c1c7-43c4-a728-f10479863e38\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2200,\n 435.3819888888892\n ],\n \"parameters\": {\n \"width\": 221.7729148148145,\n \"height\": 364.786662962963,\n \"content\": \"### Insert data to database\\nAdd new rows in database table with extracted data.\\n\\n💡 **You can replace Supabase with other database of your choice.**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bc3d3337-a5b9-45ec-bb73-810cea9c0e73\",\n \"name\": \"Add protocool to domain (URL)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1680,\n 1700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ed0f1505-82b6-4393-a0d8-088055137ec9\",\n \"name\": \"domain\",\n \"type\": \"string\",\n \"value\": \"={{ $json.domain.startsWith(\\\"http\\\") ? $json.domain : \\\"http://\\\" + $json.domain }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"db91703c-0133-4030-a9b5-fc3ab4331784\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 660\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 369.60264559047334,\n \"height\": 256.26672065702303,\n \"content\": \"## ⚠️ Note\\n\\n1. Complete video guide for this workflow is available [on my YouTube](https://youtu.be/2W09puFZwtY). \\n2. Remember to add your credentials and configure nodes.\\n3. If you like this workflow, please subscribe to [my YouTube channel](https://www.youtube.com/@workfloows) and/or [my newsletter](https://workfloows.com/).\\n\\n**Thank you for your support!**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"54530733-f8dc-44c7-a645-6f279e9a2c21\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 420\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 369.93062670813185,\n \"height\": 212.09880341753203,\n \"content\": \"## Autonomous AI crawler\\nThis workflow autonomously navigates through given websites and retrieves social media profile links. \\n\\n💡 **You can modify this workflow to retrieve other type of data (e.g. contact details or company profile summary).**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b43aee3c-47b5-47fd-89c4-7d213b26b4ca\",\n \"name\": \"Crawl website\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1400,\n 720\n ],\n \"parameters\": {\n \"text\": \"=Retrieve social media profile URLs from this website: {{ $json.website }}\",\n \"options\": {\n \"systemMessage\": \"You are an automated web crawler tasked with extracting social media URLs from a webpage provided by the user. You have access to a text retrieval tool to gather all text content from the page and a URL retrieval tool to identify and navigate through links on the page. Utilize the URLs retrieved to crawl additional pages. Your objective is to provide a unified JSON output containing the extracted data (links to all possible social media profiles from the website).\"\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"retryOnFail\": true,\n \"typeVersion\": 1.6\n }\n ],\n \"pinData\": {\n \"Get companies\": [\n {\n \"id\": 1,\n \"name\": \"n8n\",\n \"website\": \"https://n8n.io\"\n }\n ]\n },\n \"connections\": {\n \"Text\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"URLs\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"JSON Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Crawl website\": {\n \"main\": [\n [\n {\n \"node\": \"Set social media array\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get companies\": {\n \"main\": [\n [\n {\n \"node\": \"Select company name and website\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Split out URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Set response (URL)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge all data\": {\n \"main\": [\n [\n {\n \"node\": \"Insert new row\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split out URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Filter out empty hrefs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute workflow\": {\n \"main\": [\n [\n {\n \"node\": \"Get companies\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set domain (URL)\": {\n \"main\": [\n [\n {\n \"node\": \"Add protocool to domain (URL)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get website (URL)\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remove duplicated\": {\n \"main\": [\n [\n {\n \"node\": \"Set domain to path\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set domain (text)\": {\n \"main\": [\n [\n {\n \"node\": \"Add protocool to domain (text)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get website (text)\": {\n \"main\": [\n [\n {\n \"node\": \"Convert HTML to Markdown\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set domain to path\": {\n \"main\": [\n [\n {\n \"node\": \"Filter out invalid URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Filter out empty hrefs\": {\n \"main\": [\n [\n {\n \"node\": \"Remove duplicated\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set social media array\": {\n \"main\": [\n [\n {\n \"node\": \"Merge all data\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Filter out invalid URLs\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate URLs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert HTML to Markdown\": {\n \"main\": [\n [\n {\n \"node\": \"Set response (text)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Map company name and website\": {\n \"main\": [\n [\n {\n \"node\": \"Merge all data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Add protocool to domain (URL)\": {\n \"main\": [\n [\n {\n \"node\": \"Get website (URL)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Add protocool to domain (text)\": {\n \"main\": [\n [\n {\n \"node\": \"Get website (text)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select company name and website\": {\n \"main\": [\n [\n {\n \"node\": \"Crawl website\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Map company name and website\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Autonomous AI crawler", "node_count": 38, "category": "General Automation"}} {"prompt": "Build a workflow for: Build Your Own Image Search Using Ai Object Detection, Cdn And Elasticsearchbuild Your Own Image Search Using Ai Object Detection, Cdn And Elasticsearch", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.editImage, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.elasticsearch, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"6359f725-1ede-4b05-bc19-05a7e85c0865\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 680,\n 292\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"9e1e61c7-f5fd-4e8a-99a6-ccc5a24f5528\",\n \"name\": \"Fetch Source Image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1000,\n 292\n ],\n \"parameters\": {\n \"url\": \"={{ $json.source_image }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9b1b94cf-3a7d-4c43-ab6c-8df9824b5667\",\n \"name\": \"Split Out Results Only\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1428,\n 323\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"result\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fcbaf6c3-2aee-4ea1-9c5e-2833dd7a9f50\",\n \"name\": \"Filter Score >= 0.9\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1608,\n 323\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"367d83ef-8ecf-41fe-858c-9bfd78b0ae9f\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"gte\"\n },\n \"leftValue\": \"={{ $json.score }}\",\n \"rightValue\": 0.9\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"954ce7b0-ef82-4203-8706-17cfa5e5e3ff\",\n \"name\": \"Crop Object From Image\",\n \"type\": \"n8n-nodes-base.editImage\",\n \"position\": [\n 2080,\n 432\n ],\n \"parameters\": {\n \"width\": \"={{ $json.box.xmax - $json.box.xmin }}\",\n \"height\": \"={{ $json.box.ymax - $json.box.ymin }}\",\n \"options\": {\n \"format\": \"jpeg\",\n \"fileName\": \"={{ $binary.data.fileName.split('.')[0].urlEncode()+'-'+$json.label.urlEncode() + '-' + $itemIndex }}.jpg\"\n },\n \"operation\": \"crop\",\n \"positionX\": \"={{ $json.box.xmin }}\",\n \"positionY\": \"={{ $json.box.ymin }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"40027456-4bf9-4eea-8d71-aa28e69b29e5\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 840,\n 292\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"9e95d951-8530-4a80-bd00-6bb55623a71f\",\n \"name\": \"CLOUDFLARE_ACCOUNT_ID\",\n \"type\": \"string\",\n \"value\": \"\"\n },\n {\n \"id\": \"66807a90-63a1-4d4e-886e-e8abf3019a34\",\n \"name\": \"model\",\n \"type\": \"string\",\n \"value\": \"@cf/facebook/detr-resnet-50\"\n },\n {\n \"id\": \"a13ccde6-e6e3-46f4-afa3-2134af7bc765\",\n \"name\": \"source_image\",\n \"type\": \"string\",\n \"value\": \"https://images.pexels.com/photos/2293367/pexels-photo-2293367.jpeg?auto=compress&cs=tinysrgb&w=600\"\n },\n {\n \"id\": \"0734fc55-b414-47f7-8b3e-5c880243f3ed\",\n \"name\": \"elasticsearch_index\",\n \"type\": \"string\",\n \"value\": \"n8n-image-search\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"c3d8c5e3-546e-472c-9e6e-091cf5cee3c3\",\n \"name\": \"Use Detr-Resnet-50 Object Classification\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1248,\n 324\n ],\n \"parameters\": {\n \"url\": \"=https://api.cloudflare.com/client/v4/accounts/{{ $('Set Variables').item.json.CLOUDFLARE_ACCOUNT_ID }}/ai/run/{{ $('Set Variables').item.json.model }}\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"contentType\": \"binaryData\",\n \"authentication\": \"predefinedCredentialType\",\n \"inputDataFieldName\": \"data\",\n \"nodeCredentialType\": \"cloudflareApi\"\n },\n \"credentials\": {\n \"cloudflareApi\": {\n \"id\": \"qOynkQdBH48ofOSS\",\n \"name\": \"Cloudflare account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3c7aa2fc-9ca1-41ba-a10d-aa5930d45f18\",\n \"name\": \"Upload to Cloudinary\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2380,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://api.cloudinary.com/v1_1/daglih2g8/image/upload\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendQuery\": true,\n \"contentType\": \"multipart-form-data\",\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"file\",\n \"parameterType\": \"formBinaryData\",\n \"inputDataFieldName\": \"data\"\n }\n ]\n },\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"upload_preset\",\n \"value\": \"n8n-workflows-preset\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"sT9jeKzZiLJ3bVPz\",\n \"name\": \"Cloudinary API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3c4e1f04-a0ba-4cce-b82a-aa3eadc4e7e1\",\n \"name\": \"Create Docs In Elasticsearch\",\n \"type\": \"n8n-nodes-base.elasticsearch\",\n \"position\": [\n 2580,\n 380\n ],\n \"parameters\": {\n \"indexId\": \"={{ $('Set Variables').item.json.elasticsearch_index }}\",\n \"options\": {},\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": \"image_url\",\n \"fieldValue\": \"={{ $json.secure_url.replace('upload','upload/f_auto,q_auto') }}\"\n },\n {\n \"fieldId\": \"source_image_url\",\n \"fieldValue\": \"={{ $('Set Variables').item.json.source_image }}\"\n },\n {\n \"fieldId\": \"label\",\n \"fieldValue\": \"={{ $('Crop Object From Image').item.json.label }}\"\n },\n {\n \"fieldId\": \"metadata\",\n \"fieldValue\": \"={{ JSON.stringify(Object.assign($('Crop Object From Image').item.json, { filename: $json.original_filename })) }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"elasticsearchApi\": {\n \"id\": \"dRuuhAgS7AF0mw0S\",\n \"name\": \"Elasticsearch account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"292c9821-c123-44fa-9ba1-c37bf84079bc\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 120\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 541.1455500767354,\n \"height\": 381.6388867600897,\n \"content\": \"## 1. Get Source Image\\n[Read more about setting variables for your workflow](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.set)\\n\\nFor this demo, we'll manually define an image to process. In production however, this image can come from a variety of sources such as drives, webhooks and more.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"863271dc-fb9d-4211-972d-6b57336073b4\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1180,\n 80\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 579.7748008857744,\n \"height\": 437.4680103498263,\n \"content\": \"## 2. Use Detr-Resnet-50 Object Classification\\n[Learn more about Cloudflare Workers AI](https://developers.cloudflare.com/workers-ai/)\\n\\nNot all AI workflows need an LLM! As in this example, we're using a non-LLM vision model to parse the source image and return what objects are contained within. The image search feature we're building will be based on the objects in the image making for a much more granular search via object association.\\n\\nWe'll use the Cloudflare Workers AI service which conveniently provides this model via API use.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b73b45da-0436-4099-b538-c6b3b84822f2\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1800,\n 260\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 466.35460775498495,\n \"height\": 371.9272151757119,\n \"content\": \"## 3. Crop Objects Out of Source Image\\n[Read more about Editing Images in n8n](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.editimage)\\n\\nWith our objects identified by their bounding boxes, we can \\\"cut\\\" them out of the source image as separate images.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"465bd842-8a35-49d8-a9ff-c30d164620db\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2300,\n 180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 478.20345439832454,\n \"height\": 386.06196032653685,\n \"content\": \"## 4. Index Object Images In ElasticSearch\\n[Read more about using ElasticSearch](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.elasticsearch)\\n\\nBy storing the newly created object images externally and indexing them in Elasticsearch, we now have a foundation for our Image Search service which queries by object association.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6a04b4b5-7830-410d-9b5b-79acb0b1c78b\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1800,\n -220\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 328.419768654291,\n \"height\": 462.65463700396174,\n \"content\": \"Fig 1. Result of Classification\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8f607951-ba41-4362-8323-e8b4b96ad122\",\n \"name\": \"Fetch Source Image Again\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1880,\n 432\n ],\n \"parameters\": {\n \"url\": \"={{ $('Set Variables').item.json.source_image }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6933f67d-276b-4908-8602-654aa352a68b\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 220,\n 120\n ],\n \"parameters\": {\n \"width\": 359.6648027457353,\n \"height\": 352.41026669883723,\n \"content\": \"## Try It Out!\\n### This workflow does the following:\\n* Downloads an image\\n* Uses an object classification AI model to identify objects in the image.\\n* Crops the objects out from the original image into new image files.\\n* Indexes the image's object in an Elasticsearch Database to enable image search.\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"35615ed5-43e8-43f0-95fe-1f95a1177d69\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 800,\n 280\n ],\n \"parameters\": {\n \"width\": 172.9365918827757,\n \"height\": 291.6881468483679,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n🚨**Required**\\n* Set your variables here first!\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch Source Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch Source Image\": {\n \"main\": [\n [\n {\n \"node\": \"Use Detr-Resnet-50 Object Classification\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Filter Score >= 0.9\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch Source Image Again\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload to Cloudinary\": {\n \"main\": [\n [\n {\n \"node\": \"Create Docs In Elasticsearch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Crop Object From Image\": {\n \"main\": [\n [\n {\n \"node\": \"Upload to Cloudinary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out Results Only\": {\n \"main\": [\n [\n {\n \"node\": \"Filter Score >= 0.9\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch Source Image Again\": {\n \"main\": [\n [\n {\n \"node\": \"Crop Object From Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Use Detr-Resnet-50 Object Classification\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out Results Only\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Build Your Own Image Search Using AI Object Detection, CDN and ElasticSearchBuild Your Own Image Search Using AI Object Detection, CDN and ElasticSearch", "node_count": 17, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for build a financial documents assistant using qdrant and mistral.ai", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.vectorStoreQdrant, @n8n/n8n-nodes-langchain.embeddingsMistralCloud, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.chainRetrievalQa, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.localFileTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"c5525f47-4d91-4b98-87bb-566b90da64a1\",\n \"name\": \"Local File Trigger\",\n \"type\": \"n8n-nodes-base.localFileTrigger\",\n \"position\": [\n 660,\n 700\n ],\n \"parameters\": {\n \"path\": \"/home/node/host_mount/local_file_search\",\n \"events\": [\n \"add\",\n \"change\",\n \"unlink\"\n ],\n \"options\": {\n \"awaitWriteFinish\": true\n },\n \"triggerOn\": \"folder\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"804334d6-e34d-40d1-9555-b331ffe66f6f\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 664.5766613599001,\n 881.8474780113352\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"7ab0e284-b667-4d1f-8ceb-fb05e4081a06\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 840,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"35ea70c4-8669-4975-a68d-bbaa094713c0\",\n \"name\": \"directory\",\n \"type\": \"string\",\n \"value\": \"/home/node/BankStatements\"\n },\n {\n \"id\": \"1d081d19-ff4e-462a-9cbe-7af2244bf87f\",\n \"name\": \"file_added\",\n \"type\": \"string\",\n \"value\": \"={{ $json.event === 'add' && $json.path || ''}}\"\n },\n {\n \"id\": \"18f8dc03-51ca-48c7-947f-87ce8e1979bf\",\n \"name\": \"file_changed\",\n \"type\": \"string\",\n \"value\": \"={{ $json.event === 'change' && $json.path || '' }}\"\n },\n {\n \"id\": \"65074ff7-037b-4b3b-b2c3-8a61755ab43b\",\n \"name\": \"file_deleted\",\n \"type\": \"string\",\n \"value\": \"={{ $json.event === 'unlink' && $json.path || '' }}\"\n },\n {\n \"id\": \"9a1902e7-f94d-4d1f-9006-91c67354d3e8\",\n \"name\": \"qdrant_collection\",\n \"type\": \"string\",\n \"value\": \"local_file_search\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"76173972-ceca-43a4-b85f-00b41f774304\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 580,\n 460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 665.0909497859384,\n \"height\": 596.8351502261468,\n \"content\": \"## Step 1. Select the target folder\\n[Read more about local file trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger)\\n\\nIn this workflow, we'll monitor a specific folder on disk that n8n has access to. Since we're using docker, we can either use the n8n volume or mount a folder from the host machine.\\n\\nThe local file trigger is useful to execute the workflow whenever changes are made to our target folder.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eda839f7-dde4-4d1f-9fe6-692df4ac7282\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 184.57666135990007,\n 461.84747801133517\n ],\n \"parameters\": {\n \"width\": 372.51107341403605,\n \"height\": 356.540665091993,\n \"content\": \"## Try It Out!\\n### This workflow does the following:\\n* Monitors a target folder for changes using the local file trigger\\n* Synchronises files in the target folder with their vectors in Qdrant\\n* Mistral AI is used to create a Q&A AI agent on all files in the target folder\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f82f6de0-af8f-4fdf-a733-f59ba4fed02f\",\n \"name\": \"Read File\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1340,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"={{ $json.file_added }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7354a080-051b-479f-97b1-49cc0c14c9d8\",\n \"name\": \"Embeddings Mistral Cloud\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsMistralCloud\",\n \"position\": [\n 1720,\n 1280\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1ad45ff-a882-4aed-82e2-cad2483cf4e8\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1820,\n 1280\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"filter_by_filename\",\n \"value\": \"={{ $json.file_location }}\"\n },\n {\n \"name\": \"filter_by_created_month\",\n \"value\": \"={{ $now.year + '-' + $now.monthShort }}\"\n },\n {\n \"name\": \"filter_by_created_week\",\n \"value\": \"={{ $now.year + '-' + $now.monthShort + '-W' + $now.weekNumber }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.data }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0b0e29b9-8873-4074-94dc-9f0364c28835\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1840,\n 1400\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c0555ba6-a1bd-4aa9-a340-a9c617f8e6db\",\n \"name\": \"Prepare Embedding Document\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1520,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"41a1d4ca-e5a5-4fb9-b249-8796ae759b33\",\n \"name\": \"data\",\n \"type\": \"string\",\n \"value\": \"=## file location\\n{{ [$json.directory, $json.fileName].join('/') }}\\n## file created\\n{{ $now.toISO() }}\\n## file contents\\n{{ $input.item.binary.data.data.base64Decode() }}\"\n },\n {\n \"id\": \"c091704d-b81c-448b-8c90-156ef568b871\",\n \"name\": \"file_location\",\n \"type\": \"string\",\n \"value\": \"={{ [$json.directory, $json.fileName].join('/') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"ffe8c363-0809-4d21-aa8f-34b0fc2dc57f\",\n \"name\": \"Chat Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 2280,\n 680\n ],\n \"webhookId\": \"37587fe0-b8db-4012-90a7-1f65b9bfd0df\",\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"8d958669-60be-4bb2-80fc-2a6c7c7bfae6\",\n \"name\": \"Question and Answer Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainRetrievalQa\",\n \"position\": [\n 2500,\n 680\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"f143e438-8176-4923-a866-3f9a2a16793d\",\n \"name\": \"Mistral Cloud Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatMistralCloud\",\n \"position\": [\n 2500,\n 840\n ],\n \"parameters\": {\n \"model\": \"mistral-small-2402\",\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"06dd8f4c-3b66-43e0-85c8-ec222e275f87\",\n \"name\": \"Vector Store Retriever\",\n \"type\": \"@n8n/n8n-nodes-langchain.retrieverVectorStore\",\n \"position\": [\n 2620,\n 840\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"2fdabcb5-a7a7-4e02-8c1b-9190e2e52385\",\n \"name\": \"Embeddings Mistral Cloud1\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsMistralCloud\",\n \"position\": [\n 2620,\n 1080\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e5664534-de07-481f-87dd-68d7d0715baa\",\n \"name\": \"Remap for File_Added Flow\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1920,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"840219e1-ed47-4b00-83fd-6b3c0bd71650\",\n \"name\": \"file_added\",\n \"type\": \"string\",\n \"value\": \"={{ $('Set Variables').item.json.file_changed }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"1fd14832-aafe-4d72-b4f2-7afc72df97dc\",\n \"name\": \"Search For Existing Point\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1340,\n 280\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.filter_by_filename\\\",\\n \\\"match\\\": {\\n \\\"value\\\": \\\"{{ $json.file_changed }}\\\"\\n }\\n }\\n ]\\n },\\n \\\"limit\\\": 1,\\n \\\"with_payload\\\": false,\\n \\\"with_vector\\\": false\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b5fa817f-82d6-41dd-9817-4c1dd9137b76\",\n \"name\": \"Has Existing Point?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1520,\n 280\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0392bac0-8fb5-406b-b59f-575edf5ab30d\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.result.points }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"b0fa4fa4-5d1b-4a12-b8ba-a10d71f31f94\",\n \"name\": \"Delete Existing Point\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1720,\n 700\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/delete\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"points\",\n \"value\": \"={{ $json.result.points.map(point => point.id) }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5408adfe-4d6b-407c-aac7-e87c9b1a1592\",\n \"name\": \"Search For Existing Point1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1340,\n 700\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.filter_by_filename\\\",\\n \\\"match\\\": {\\n \\\"value\\\": \\\"{{ $json.file_changed }}\\\"\\n }\\n }\\n ]\\n },\\n \\\"limit\\\": 1,\\n \\\"with_payload\\\": false,\\n \\\"with_vector\\\": false\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fac43587-0d24-4d6e-a0d5-8cc8f9615967\",\n \"name\": \"Has Existing Point?1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1520,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0392bac0-8fb5-406b-b59f-575edf5ab30d\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.result.points }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"010baacd-fac1-4cc1-86bf-9d6ef11916fe\",\n \"name\": \"Delete Existing Point1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1700,\n 280\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.qdrant_collection }}/points/delete\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"points\",\n \"value\": \"={{ $json.result.points.map(point => point.id) }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"2d6fb29c-2fac-41de-9ad0-cc781b246378\",\n \"name\": \"Handle File Event\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1000,\n 700\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"file_deleted\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"a1f6d86a-9805-4d0e-ac70-90c9cf0ad339\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.file_deleted }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"file_changed\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"d15cde67-b5b0-4676-b4fb-ead749147392\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.file_changed }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"file_added\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.file_added }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"da91b2aa-613c-4e3e-af83-fbd3bb7e922e\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 123.92779403575491\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 847.032584995578,\n \"height\": 335.8400964393443,\n \"content\": \"## Step 2. When files are removed, the vector point is cleared.\\n[Learn how to delete points using the Qdrant API](https://qdrant.tech/documentation/concepts/points/#delete-points)\\n\\nTo keep our vectorstore relevant, we'll implement a simple synchronisation system whereby documents deleted from the local file folder are also purged from Qdrant. This can be simply achieved using Qdrant APIs.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2f9f5b2b-6504-4b27-a0c4-f3373df352df\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 480\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 855.9952607674757,\n \"height\": 433.01782147687817,\n \"content\": \"## Step 3. When files are updated, the vector point is updated.\\n[Learn how to delete points using the Qdrant API](https://qdrant.tech/documentation/concepts/points/#delete-points)\\n\\nSimilarly to the files deleted branch, when we encounter a change in a file we'll update the matching vector point in Qdrant to ensure our vector store stays relevant. Here, we can achieve this my deleting the existing vector point and creating it anew with the updated bank statement.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"38128b7f-d0f2-405c-a7de-662df812c344\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 940\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 846.8204626627492,\n \"height\": 629.9714759033081,\n \"content\": \"## Step 4. When new files are added, add them to Qdrant Vectorstore.\\n[Read more about the Qdrant node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\\n\\nUsing Qdrant, we'll able to create a simple yet powerful RAG based application for our bank statements. One of Qdrant's most powerful features is its filtering system, we'll use it to manage the synchronisation of our local file system and Qdrant.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e85e2a30-e775-42fe-a12a-ac5de4eb4673\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2180,\n 491.43199269284935\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 744.4578330639196,\n \"height\": 759.7908149448928,\n \"content\": \"## Step 5. Create AI Agent expert on historic bank statements \\n[Read more about the Question & Answer Chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainretrievalqa)\\n\\nFinally, let's use a Question & Answer AI node to combine the Mistral AI model and Qdrant as the vector store retriever to create a local expert for all our bank statements questions. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b29b0b9-ffee-4456-b036-9b39400d2b31\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1700,\n 1120\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Set Variables').item.json.qdrant_collection }}\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1857bebb-b492-415e-96c8-235329bfd28a\",\n \"name\": \"Qdrant Vector Store1\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 2620,\n 960\n ],\n \"parameters\": {\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"BankStatements\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Read File\": {\n \"main\": [\n [\n {\n \"node\": \"Prepare Embedding Document\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Handle File Event\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Handle File Event\": {\n \"main\": [\n [\n {\n \"node\": \"Search For Existing Point\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Search For Existing Point1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Read File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Local File Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Has Existing Point?\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Existing Point1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Has Existing Point?1\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Existing Point\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store1\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Retriever\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Existing Point\": {\n \"main\": [\n [\n {\n \"node\": \"Remap for File_Added Flow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Retriever\": {\n \"ai_retriever\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_retriever\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings Mistral Cloud\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Mistral Cloud Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings Mistral Cloud1\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store1\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Remap for File_Added Flow\": {\n \"main\": [\n [\n {\n \"node\": \"Read File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search For Existing Point\": {\n \"main\": [\n [\n {\n \"node\": \"Has Existing Point?\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prepare Embedding Document\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search For Existing Point1\": {\n \"main\": [\n [\n {\n \"node\": \"Has Existing Point?1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Build a Financial Documents Assistant using Qdrant and Mistral.ai", "node_count": 29, "category": "Data Processing"}} {"prompt": "How would you build: Build A Tax Code Assistant With Qdrant, Mistral.Ai And Openai?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.compression, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"1bb3c94e-326e-41ca-82e4-102a598dba39\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -320,\n 300\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"751b283b-ea88-4fcd-ace3-3c86631f8876\",\n \"name\": \"Embeddings Mistral Cloud\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsMistralCloud\",\n \"position\": [\n 1760,\n 560\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f0851949-1036-4040-84df-61295cc5db74\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1900,\n 560\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"chapter\",\n \"value\": \"={{ $('For Each Section...').item.json.chapter }}\"\n },\n {\n \"name\": \"section\",\n \"value\": \"={{ $('For Each Section...').item.json.label }}\"\n },\n {\n \"name\": \"=title\",\n \"value\": \"={{ $('For Each Section...').item.json.title }}\"\n },\n {\n \"name\": \"content_order\",\n \"value\": \"={{ $itemIndex }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.content }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"41d10b61-9fbe-446e-a65a-0db6e0116e5b\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1920,\n 680\n ],\n \"parameters\": {\n \"options\": {},\n \"chunkSize\": 2000\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1ecb096-4d31-4993-b801-ca3f09a9edc7\",\n \"name\": \"Get Tax Code Zip File\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -20,\n 340\n ],\n \"parameters\": {\n \"url\": \"https://statutes.capitol.texas.gov/Docs/Zips/TX.pdf.zip\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"responseFormat\": \"file\"\n }\n }\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"cf983315-fe2a-43c1-8dc6-b17a217b845e\",\n \"name\": \"Extract Zip Files\",\n \"type\": \"n8n-nodes-base.compression\",\n \"position\": [\n 140,\n 340\n ],\n \"parameters\": {},\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"8d02dd80-d14a-4e56-ab40-f2c4a445c57b\",\n \"name\": \"Files as Items\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 300,\n 340\n ],\n \"parameters\": {\n \"include\": \"allOtherFields\",\n \"options\": {},\n \"fieldToSplitOut\": \"$binary\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"038060dc-e01d-40ae-878d-5043bc36ab91\",\n \"name\": \"Extract PDF Contents\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 560,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"pdf\",\n \"binaryPropertyName\": \"=file_{{ $itemIndex }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4a85003b-b988-467b-b1cb-29206cbed879\",\n \"name\": \"Extract From Chapter\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 740,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"d791928a-d775-48cc-9004-a92cbe2403d3\",\n \"name\": \"contents\",\n \"type\": \"array\",\n \"value\": \"={{\\n $json.text\\n .substring($json.text.search(/\\\\nSec\\\\.\\\\nA[0-9]{1,4}\\\\.[0-9]{1,5}\\\\.AA/), $json.text.length)\\n .split(/\\\\nSec\\\\.\\\\nA[0-9]{1,2}\\\\.[0-9]{1,2}\\\\.AA/g)\\n .filter(text => !text.isEmpty())\\n .map(text => {\\n const output = text.replaceAll('AA', ' ').replaceAll('\\\\nA', ' ');\\n const title = output.substring(0, output.indexOf('.'));\\n const content = output.substring(output.indexOf('.')+1, output.length).replaceAll('\\\\n', ' ').trim();\\n return { title, content };\\n })\\n}}\"\n },\n {\n \"id\": \"bc06641f-0b75-4a35-8752-78803231d5d6\",\n \"name\": \"labels\",\n \"type\": \"array\",\n \"value\": \"={{\\n $json.text\\n .match(/\\\\nSec\\\\.\\\\nA[0-9]{1,4}\\\\.[0-9]{1,5}\\\\.AA/g)\\n .map(text => ({\\n label: text.replaceAll('AA', ' ')\\n .replaceAll('\\\\nA', ' ')\\n .replaceAll('\\\\n', '')\\n .trim()\\n }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"ee338786-91df-4784-bd7e-f86c0e13ca26\",\n \"name\": \"Map To Sections\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 740,\n 520\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"60109e60-d760-45bb-be09-7cb2b5eb85bc\",\n \"name\": \"section\",\n \"type\": \"array\",\n \"value\": \"={{\\n $json.labels.map((label, idx) => ({\\n label: label.label.match(/\\\\d.+/)[0].replace(/\\\\.$/, ''),\\n title: $json.contents[idx].title,\\n content: $json.contents[idx].content,\\n chapter: $('Extract PDF Contents').first().json.info.Title,\\n }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"41c9899d-26d7-48af-9af2-8563ab0fb7e4\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 1313,\n 1200\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a93c19b-09d9-4e38-8b0c-2008fc03f7fc\",\n \"name\": \"Get Mistral Embeddings\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1660,\n 1060\n ],\n \"parameters\": {\n \"url\": \"https://api.mistral.ai/v1/embeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"model\",\n \"value\": \"mistral-embed\"\n },\n {\n \"name\": \"encoding_format\",\n \"value\": \"float\"\n },\n {\n \"name\": \"input\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"mistralCloudApi\"\n },\n \"credentials\": {\n \"mistralCloudApi\": {\n \"id\": \"EIl2QxhXAS9Hkg37\",\n \"name\": \"Mistral Cloud account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1adc12bd-ba61-4f1a-b1f9-3f19a542e294\",\n \"name\": \"Content Chunking @ 50k Chars\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1580,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7753a4f4-3ec2-4c05-81df-3d5e8979a478\",\n \"name\": \"=content\",\n \"type\": \"array\",\n \"value\": \"={{ new Array(Math.round($json.content.length / Math.min($json.content.length, 30000))).fill('').map((_,idx) => $json.content.substring(idx * 30000, idx * 50000 + 30000)) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"ff8adce2-8f73-4a8f-b512-5aa560ca0954\",\n \"name\": \"Split Out Chunks\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1580,\n 580\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"content\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5f08ce3c-240d-4c91-bb23-953866fd0361\",\n \"name\": \"For Each Section...\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n 1400,\n 280\n ],\n \"parameters\": {\n \"options\": {},\n \"batchSize\": 5\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"6346cf67-7d93-4315-bb0d-2e016c9853b9\",\n \"name\": \"Sections To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 940,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"section\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"95e34952-03e2-40e3-a245-9da8c9e1f249\",\n \"name\": \"Only Valid Sections\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1100,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"or\",\n \"conditions\": [\n {\n \"id\": \"121e8f86-2ead-47e0-8e17-52d7c6ba8265\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.content }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"dfe1818f-93b7-4116-8a6e-dcb2e6c23fcf\",\n \"name\": \"Use Qdrant Search API1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1860,\n 1060\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/texas_tax_codes/points/search\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"limit\",\n \"value\": \"={{ 4 }}\"\n },\n {\n \"name\": \"vector\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n },\n {\n \"name\": \"with_payload\",\n \"value\": \"={{ true }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"588318e6-e188-4d99-9c11-39b2f3fb1c18\",\n \"name\": \"Use Qdrant Scroll API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1660,\n 1320\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/texas_tax_codes/points/scroll\",\n \"method\": \"POST\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"next_page_offset\",\n \"type\": \"body\",\n \"value\": \"={{ $response.body.result.next_page_offset }}\"\n }\n ]\n },\n \"completeExpression\": \"={{ $response.body.result.next_page_offset === null }}\",\n \"paginationCompleteWhen\": \"other\"\n }\n }\n },\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"limit\",\n \"value\": \"={{ 100 }}\"\n },\n {\n \"name\": \"with_payload\",\n \"value\": \"={{ true }}\"\n },\n {\n \"name\": \"filter\",\n \"value\": \"={{\\n{\\n \\\"must\\\": [\\n ($json.query.section\\n ? { \\\"key\\\": \\\"metadata.section\\\", \\\"match\\\": { \\\"value\\\": $json.query.section } }\\n : { \\\"key\\\": \\\"metadata.chapter\\\", \\\"match\\\": { \\\"value\\\": $json.query.chapter } }\\n )\\n ]\\n}\\n}}\"\n }\n ]\n },\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"bbf01344-c60e-42b3-8d7d-2bb360876d79\",\n \"name\": \"Get Search Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1860,\n 1320\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"08ad2d6e-4ed1-409e-b89c-1f0c7fdf1b64\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"=---\\nchapter: {{ $json.result.points.first().payload.metadata.chapter }}\\nsection: {{ $json.result.points.first().payload.metadata.section }}\\ntitle: {{ $json.result.points.first().payload.metadata.title }}\\n---\\n{{ $json.result.points\\n .toSorted((a,b) => (a.payload.metadata.content_order || 0) - (b.payload.metadata.content_order || 0))\\n .map(point => point.payload.content).join('\\\\n') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"3b23ff5e-158a-470f-a262-d001d52feeba\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n 183.38345554113084\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 571.4359274276384,\n \"height\": 352.65642339230595,\n \"content\": \"## Step 1. Download the Tax Code PDF\\n[Read more about handling Zip Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.compression/)\\n\\nLet's begin by pulling a zip file containing all the tax codes as separate PDF files. We can unzip on the fly with n8n's compression node.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"02826887-eb26-48a0-928e-fe56ee008425\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 199.87747230655896\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 777.897719182587,\n \"height\": 503.3459981018574,\n \"content\": \"## Step 2. Extract and Partition Into Chapters & Sections\\n[Learn more about reading PDF Files](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.extractfromfile)\\n\\nRather than ingest the raw text of the PDF, we'll be a little more strategic and extract the tax code sections separately instead. Not only will this provide cleaner results, we'll also be able to fetch sections in isolation if required.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"31a34972-31ab-4b96-9d09-cd30a3b184cf\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1300,\n 108.82958126396\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 1045.1698686248747,\n \"height\": 771.1260499456115,\n \"content\": \"## Step 3. Save into Qdrant VectorStore\\n[Read more about using the Qdrant Vectorstore](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\\n\\nWe'll save our data into a Qdrant collection being mindful to use metadata to take full advantage of Qdrant's filtering capabilities later.\\nThough not always required, since the tax code documents can be quite large we'll implement a loop here to throttle the number of tokens being processed as to not trip the Mistral.ai rate limits for embeddings.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"27039fa6-6388-45ee-a2d5-6bb68554944b\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1760,\n 400\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"texas_tax_codes\",\n \"cachedResultName\": \"texas_tax_codes\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5ec16c20-eb1e-454a-8165-594d83dd8711\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n 900\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 858.1415560000298,\n \"height\": 513.2269439624808,\n \"content\": \"## Step 4. Build a Tax Code Assistant ChatBot\\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\\n\\nFor our chatbot, we'll use an AI agent node because we want to achieve more than one functionality. The first will be querying to relevant texts to answer a user's question and secondly, a direct search feature to pull full section text when requested.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d5145c6f-768b-42d8-a045-20e045f52b0b\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1240,\n 904.6076722083936\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 1030.0926850706744,\n \"height\": 577.7854680142904,\n \"content\": \"## Step 5. Use Qdrant API as Tools\\n[Learn more about using AI Agents in n8n](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent)\\n\\nOur Ask Tool will generate embeddings using Mistral.ai and query our Qdrant collection using the Qdrant Search API.\\nOur Search Tool will use filter our Qdrant collection using the Qdrant Scroll API, matching on each doc's section metadata key.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ccf50479-53d8-4edf-8f2b-73060a6a6e0f\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 700,\n 1063\n ],\n \"parameters\": {\n \"options\": {\n \"systemMessage\": \"You are a helpful assistant answering user questions on the tax code legistration for the state of Texas, united states of america.\\n\\nAlong with your response also note in which chapter and section number the information was found. \"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"d7e7fa9e-73ba-4df3-862e-25af63d9d9b4\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 820,\n 1223\n ],\n \"parameters\": {},\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"a79bdbcd-7157-470a-aadc-bd3f8a4c40d2\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 420,\n 1063\n ],\n \"webhookId\": \"db2b118d-942e-4be9-b154-7df887232f97\",\n \"parameters\": {\n \"public\": true,\n \"options\": {\n \"loadPreviousSession\": \"memory\"\n },\n \"initialMessages\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6046f137-b508-484f-8577-ac51a35eee09\",\n \"name\": \"Window Buffer Memory1\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 420,\n 1223\n ],\n \"parameters\": {},\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"30f238f8-1987-4d6d-b06d-ac2106ea3734\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 700,\n 1223\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8a8490f6-5957-495c-a7af-15cec669f39c\",\n \"name\": \"1sec\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2160,\n 660\n ],\n \"webhookId\": \"852317f0-aadf-4658-ae44-d05e5de29302\",\n \"parameters\": {\n \"amount\": 1\n },\n \"executeOnce\": false,\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"142450f5-8ec1-4ae6-b25c-df3233394d4e\",\n \"name\": \"Ask Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 960,\n 1223\n ],\n \"parameters\": {\n \"name\": \"query_tax_code_knowledgebase\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"ask_tool\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to query the tax code database for information. Structure your query in the form of a question for best results.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"ee455a4e-c9a1-49b2-a036-d3f3d34099c6\",\n \"name\": \"Search Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1060,\n 1223\n ],\n \"parameters\": {\n \"name\": \"get_tax_code_section\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"search_tool\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to search for specific sections of the tax code document. Pass in either a known section number/id to get the section's text or a known chapter name to return all sections for the chapter.\",\n \"jsonSchemaExample\": \"{\\n\\t\\\"chapter\\\": \\\"some_value\\\",\\n \\\"section\\\": \\\"Sec 1.01\\\"\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"f3240f8d-8869-4088-8e4f-d4e23a3c12a8\",\n \"name\": \"Switch\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1473,\n 1200\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"ask_tool\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"ask_tool\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"search_tool\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"909362ed-eb97-405c-9f2f-f404a3bfeaf3\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"search_tool\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"71441b5a-099b-49e0-a212-3087d958b38b\",\n \"name\": \"Get Ask Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2060,\n 1060\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"eb5f2b3c-bb88-4cae-a960-164016c9a9e4\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"=|chapter|section|title|content|\\n|-|-|-|-|\\n{{\\n $json.result.map(row => [\\n '',\\n row.payload.metadata.chapter,\\n row.payload.metadata.section,\\n row.payload.metadata.title,\\n row.payload.content,\\n ''\\n ].join('|')).join('\\\\n')\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"54a744a3-95c9-4d9a-b1e7-e266a51f77ca\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n -79.56762868134751\n ],\n \"parameters\": {\n \"width\": 383.14868794462586,\n \"height\": 563.604204119637,\n \"content\": \"## Try Me Out!\\n### This workflow builds an AI powered Legal assistant who answers questions about tax codes.\\n* Download publically available tax code PDFs from the relevant government website.\\n* Strategically exact tax code sections and store these in our Qdrant Vectorstore using Mistral.ai embeddings.\\n* Use an AI Agent to answer user's tax questions by attaching tools which query our Qdrant vectorstore.\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7f802f12-03e0-4b8e-a880-8c26242c1152\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 790.1971986436472,\n 720\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 489.3944544742706,\n \"height\": 131.61363932813174,\n \"content\": \"### 🙋♀️What's the difference?\\nWith raw PDF data, we may blur the boundaries between chapters and sections making later results hard to find, incoherent or misleading.\\nDepending on your use-case, store your data in a way you intend to retrieve it!\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"1sec\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Section...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Switch\": {\n \"main\": [\n [\n {\n \"node\": \"Get Mistral Embeddings\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Use Qdrant Scroll API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Ask Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Files as Items\": {\n \"main\": [\n [\n {\n \"node\": \"Extract PDF Contents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Map To Sections\": {\n \"main\": [\n [\n {\n \"node\": \"Sections To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Sections To List\": {\n \"main\": [\n [\n {\n \"node\": \"Only Valid Sections\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out Chunks\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Zip Files\": {\n \"main\": [\n [\n {\n \"node\": \"Files as Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"For Each Section...\": {\n \"main\": [\n null,\n [\n {\n \"node\": \"Content Chunking @ 50k Chars\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only Valid Sections\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Section...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"1sec\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract From Chapter\": {\n \"main\": [\n [\n {\n \"node\": \"Map To Sections\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract PDF Contents\": {\n \"main\": [\n [\n {\n \"node\": \"Extract From Chapter\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Tax Code Zip File\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Zip Files\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Use Qdrant Scroll API\": {\n \"main\": [\n [\n {\n \"node\": \"Get Search Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory1\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"When chat message received\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Mistral Embeddings\": {\n \"main\": [\n [\n {\n \"node\": \"Use Qdrant Search API1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Use Qdrant Search API1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Ask Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings Mistral Cloud\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Switch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Content Chunking @ 50k Chars\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out Chunks\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Tax Code Zip File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Build a Tax Code Assistant with Qdrant, Mistral.ai and OpenAI", "node_count": 38, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 27\n- Node Types: n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.extractFromFile, n8n-nodes-base.aggregate, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"a58HZKwcOy7lmz56\",\n \"meta\": {\n \"instanceId\": \"178ef8a5109fc76c716d40bcadb720c455319f7b7a3fd5a39e4f336a091f524a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"06a34e3b-519a-4b48-afd0-4f2b51d2105d\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 4980,\n 740\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"9213003d-433f-41ab-838b-be93860261b2\",\n \"name\": \"GitHub\",\n \"type\": \"n8n-nodes-base.github\",\n \"position\": [\n 5200,\n 740\n ],\n \"parameters\": {\n \"owner\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"mrscoopers\"\n },\n \"filePath\": \"Top_1000_IMDB_movies.csv\",\n \"resource\": \"file\",\n \"operation\": \"get\",\n \"repository\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n_demo\",\n \"cachedResultUrl\": \"https://github.com/mrscoopers/n8n_demo\",\n \"cachedResultName\": \"n8n_demo\"\n },\n \"additionalParameters\": {}\n },\n \"credentials\": {\n \"githubApi\": {\n \"id\": \"VbfC0mqEq24vPIwq\",\n \"name\": \"GitHub n8n demo\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9850d1a9-3a6f-44c0-9f9d-4d20fda0b602\",\n \"name\": \"Extract from File\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 5360,\n 740\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7704f993-b1c9-477a-8b5a-77dc2cb68161\",\n \"name\": \"Embeddings OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 5560,\n 940\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bc6dd8e5-0186-4bf9-9c60-2eab6d9b6520\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 5700,\n 960\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"movie_name\",\n \"value\": \"={{ $('Extract from File').item.json['Movie Name'] }}\"\n },\n {\n \"name\": \"movie_release_date\",\n \"value\": \"={{ $('Extract from File').item.json['Year of Release'] }}\"\n },\n {\n \"name\": \"movie_description\",\n \"value\": \"={{ $('Extract from File').item.json.Description }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $('Extract from File').item.json.Description }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f87ea014-fe79-444b-88ea-0c4773872b0a\",\n \"name\": \"Token Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterTokenSplitter\",\n \"position\": [\n 5700,\n 1140\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"d8d28cec-c8e8-4350-9e98-cdbc6da54988\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 5600,\n 740\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"imdb\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"Zin08PA0RdXVUKK7\",\n \"name\": \"QdrantApi n8n demo\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f86e03dc-12ea-4929-9035-4ec3cf46e300\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 4920,\n 1140\n ],\n \"webhookId\": \"71bfe0f8-227e-466b-9d07-69fd9fe4a27b\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"ead23ef6-2b6b-428d-b412-b3394bff8248\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 5040,\n 1340\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7ab936e1-aac8-43bc-a497-f2d02c2c19e5\",\n \"name\": \"Call n8n Workflow Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 5320,\n 1340\n ],\n \"parameters\": {\n \"name\": \"movie_recommender\",\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"a58HZKwcOy7lmz56\"\n },\n \"description\": \"Call this tool to get a list of recommended movies from a vector database. \",\n \"inputSchema\": \"{\\n\\\"type\\\": \\\"object\\\",\\n\\\"properties\\\": {\\n\\t\\\"positive_example\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"A string with a movie description matching the user's positive recommendation request\\\"\\n },\\n \\\"negative_example\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"A string with a movie description matching the user's negative anti-recommendation reuqest\\\"\\n }\\n}\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"ce55f334-698b-45b1-9e12-0eaa473187d4\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 5160,\n 1340\n ],\n \"parameters\": {},\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"41c1ee11-3117-4765-98fc-e56cc6fc8fb2\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 5640,\n 1600\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"db8d6ab6-8cd2-4a8c-993d-f1b7d7fdcffd\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 6540,\n 1500\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineAll\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"c7bc5e04-22b1-40db-ba74-1ab234e51375\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 7260,\n 1480\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"result\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a2002d2e-362a-49eb-a42d-7b665ddd67a0\",\n \"name\": \"Split Out1\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 7140,\n 1260\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"result.points\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f69a87f1-bfb9-4337-9350-28d2416c1580\",\n \"name\": \"Merge1\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 7520,\n 1400\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"fieldsToMatchString\": \"id\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"b2f2529e-e260-4d72-88ef-09b804226004\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 7960,\n 1400\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\",\n \"destinationFieldName\": \"response\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bedea10f-b4de-4f0e-9d60-cc8117a2b328\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 5140,\n 1140\n ],\n \"parameters\": {\n \"options\": {\n \"systemMessage\": \"You are a Movie Recommender Tool using a Vector Database under the hood. Provide top-3 movie recommendations returned by the database, ordered by their recommendation score, but not showing the score to the user.\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"e04276b5-7d69-437b-bf4f-9717808cc8f6\",\n \"name\": \"Embedding Recommendation Request with Open AI\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5900,\n 1460\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/embeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"input\",\n \"value\": \"={{ $json.query.positive_example }}\"\n },\n {\n \"name\": \"model\",\n \"value\": \"text-embedding-3-small\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer $OPENAI_API_KEY\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"68e99f06-82f5-432c-8b31-8a1ae34981a6\",\n \"name\": \"Embedding Anti-Recommendation Request with Open AI\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5920,\n 1660\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/embeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"input\",\n \"value\": \"={{ $json.query.negative_example }}\"\n },\n {\n \"name\": \"model\",\n \"value\": \"text-embedding-3-small\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer $OPENAI_API_KEY\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"deYJUwkgL1Euu613\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ecb1d7e1-b389-48e8-a34a-176bfc923641\",\n \"name\": \"Extracting Embedding\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 6180,\n 1460\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"01a28c9d-aeb1-48bb-8a73-f8bddbd73460\",\n \"name\": \"positive_example\",\n \"type\": \"array\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"4ed11142-a734-435f-9f7a-f59e2d423076\",\n \"name\": \"Extracting Embedding1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 6180,\n 1660\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"01a28c9d-aeb1-48bb-8a73-f8bddbd73460\",\n \"name\": \"negative_example\",\n \"type\": \"array\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ce3aa9bc-a5b1-4529-bff5-e0dba43b99f3\",\n \"name\": \"Calling Qdrant Recommendation API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 6840,\n 1500\n ],\n \"parameters\": {\n \"url\": \"https://edcc6735-2ffb-484f-b735-3467043828fe.europe-west3-0.gcp.cloud.qdrant.io:6333/collections/imdb_1000_open_ai/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"query\\\": {\\n \\\"recommend\\\": {\\n \\\"positive\\\": [[{{ $json.positive_example }}]],\\n \\\"negative\\\": [[{{ $json.negative_example }}]],\\n \\\"strategy\\\": \\\"average_vector\\\"\\n }\\n },\\n \\\"limit\\\":3\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"Zin08PA0RdXVUKK7\",\n \"name\": \"QdrantApi n8n demo\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9b8a6bdb-16fe-4edc-86d0-136fe059a777\",\n \"name\": \"Retrieving Recommended Movies Meta Data\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 7060,\n 1460\n ],\n \"parameters\": {\n \"url\": \"https://edcc6735-2ffb-484f-b735-3467043828fe.europe-west3-0.gcp.cloud.qdrant.io:6333/collections/imdb_1000_open_ai/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"ids\\\": [\\\"{{ $json.result.points[0].id }}\\\", \\\"{{ $json.result.points[1].id }}\\\", \\\"{{ $json.result.points[2].id }}\\\"],\\n \\\"with_payload\\\":true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"Zin08PA0RdXVUKK7\",\n \"name\": \"QdrantApi n8n demo\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"28cdcad5-3dca-48a1-b626-19eef657114c\",\n \"name\": \"Selecting Fields Relevant for Agent\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 7740,\n 1400\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"b4b520a5-d0e2-4dcb-af9d-0b7748fd44d6\",\n \"name\": \"movie_recommendation_score\",\n \"type\": \"number\",\n \"value\": \"={{ $json.score }}\"\n },\n {\n \"id\": \"c9f0982e-bd4e-484b-9eab-7e69e333f706\",\n \"name\": \"movie_description\",\n \"type\": \"string\",\n \"value\": \"={{ $json.payload.content }}\"\n },\n {\n \"id\": \"7c7baf11-89cd-4695-9f37-13eca7e01163\",\n \"name\": \"movie_name\",\n \"type\": \"string\",\n \"value\": \"={{ $json.payload.metadata.movie_name }}\"\n },\n {\n \"id\": \"1d1d269e-43c7-47b0-859b-268adf2dbc21\",\n \"name\": \"movie_release_year\",\n \"type\": \"string\",\n \"value\": \"={{ $json.payload.metadata.release_year }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"56e73f01-5557-460a-9a63-01357a1b456f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 5560,\n 1780\n ],\n \"parameters\": {\n \"content\": \"Tool, calling Qdrant's recommendation API based on user's request, transformed by AI agent\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cce5250e-0285-4fd0-857f-4b117151cd8b\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4680,\n 720\n ],\n \"parameters\": {\n \"content\": \"Uploading data (movies and their descriptions) to Qdrant Vector Store\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"negative_example\": \"horror bloody movie\",\n \"positive_example\": \"romantic comedy\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"40d3669b-d333-435f-99fc-db623deda2cb\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Calling Qdrant Recommendation API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"GitHub\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge1\": {\n \"main\": [\n [\n {\n \"node\": \"Selecting Fields Relevant for Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Merge1\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Split Out1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Token Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract from File\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extracting Embedding\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extracting Embedding1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Call n8n Workflow Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Embedding Recommendation Request with Open AI\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Embedding Anti-Recommendation Request with Open AI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calling Qdrant Recommendation API\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieving Recommended Movies Meta Data\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Split Out1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"GitHub\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Selecting Fields Relevant for Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieving Recommended Movies Meta Data\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embedding Recommendation Request with Open AI\": {\n \"main\": [\n [\n {\n \"node\": \"Extracting Embedding\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embedding Anti-Recommendation Request with Open AI\": {\n \"main\": [\n [\n {\n \"node\": \"Extracting Embedding1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Building RAG Chatbot for Movie Recommendations with Qdrant and Open AI", "node_count": 27, "category": "Data Processing"}} {"prompt": "Create an n8n automation that handles data processing", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"FD0bHNaehP3LzCNN\",\n \"meta\": {\n \"instanceId\": \"69133932b9ba8e1ef14816d0b63297bb44feb97c19f759b5d153ff6b0c59e18d\"\n },\n \"name\": \"Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"362cb773-7540-4753-a401-e585cdf4af8a\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 0,\n 0\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"45470036-cae6-48d0-ac66-addc8999e776\",\n \"name\": \"HTTP Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 300,\n 0\n ],\n \"parameters\": {\n \"url\": \"https://raw.githubusercontent.com/github/rest-api-description/refs/heads/main/descriptions/api.github.com/api.github.com.json\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"a9e65897-52c9-4941-bf49-e1a659e442ef\",\n \"name\": \"Pinecone Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"position\": [\n 520,\n 0\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n-demo\",\n \"cachedResultName\": \"n8n-demo\"\n }\n },\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"bQTNry52ypGLqt47\",\n \"name\": \"PineconeApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c2a2354b-5457-4ceb-abfc-9a58e8593b81\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 660,\n 180\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7338d9ea-ae8f-46eb-807f-a15dc7639fc9\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 740,\n 360\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"44fd7a59-f208-4d5d-a22d-e9f8ca9badf1\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n -20,\n 760\n ],\n \"webhookId\": \"089e38ab-4eee-4c34-aa5d-54cf4a8f53b7\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"51d819d6-70ff-428d-aa56-1d7e06490dee\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 320,\n 760\n ],\n \"parameters\": {\n \"options\": {\n \"systemMessage\": \"You are a helpful assistant providing information about the GitHub API and how to use it based on the OpenAPI V3 specifications.\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"aed548bf-7083-44ad-a3e0-163dee7423ef\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 220,\n 980\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"dfe9f356-2225-4f4b-86c7-e56a230b4193\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 420,\n 1020\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"4cf672ee-13b8-4355-b8e0-c2e7381671bc\",\n \"name\": \"Vector Store Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolVectorStore\",\n \"position\": [\n 580,\n 980\n ],\n \"parameters\": {\n \"name\": \"GitHub_OpenAPI_Specification\",\n \"description\": \"Use this tool to get information about the GitHub API. This database contains OpenAPI v3 specifications.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1df7fb85-9d4a-4db5-9bed-41d28e2e4643\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 840,\n 1160\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"7b52ef7a-5935-451e-8747-efe16ce288af\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -40,\n -260\n ],\n \"parameters\": {\n \"width\": 640,\n \"height\": 200,\n \"content\": \"## Indexing content in the vector database\\nThis part of the workflow is responsible for extracting content, generating embeddings and sending them to the Pinecone vector store.\\n\\nIt requests the OpenAPI specifications from GitHub using a HTTP request. Then, it splits the file in chunks, generating embeddings for each chunk using OpenAI, and saving them in Pinecone vector DB.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3508d602-56d4-4818-84eb-ca75cdeec1d0\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -20,\n 560\n ],\n \"parameters\": {\n \"width\": 580,\n \"content\": \"## Querying and response generation \\n\\nThis part of the workflow is responsible for the chat interface, querying the vector store and generating relevant responses.\\n\\nIt uses OpenAI GPT 4o-mini to generate responses.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5a9808ef-4edd-4ec9-ba01-2fe50b2dbf4b\",\n \"name\": \"Generate User Query Embedding\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 480,\n 1400\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"f703dc8e-9d4b-45e3-8994-789b3dfe8631\",\n \"name\": \"Pinecone Vector Store (Querying)\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStorePinecone\",\n \"position\": [\n 440,\n 1220\n ],\n \"parameters\": {\n \"options\": {},\n \"pineconeIndex\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n-demo\",\n \"cachedResultName\": \"n8n-demo\"\n }\n },\n \"credentials\": {\n \"pineconeApi\": {\n \"id\": \"bQTNry52ypGLqt47\",\n \"name\": \"PineconeApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ea64a7a5-1fa5-4938-83a9-271929733a8e\",\n \"name\": \"Generate Embeddings\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 480,\n 220\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"tQLWnWRzD8aebYvp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"65cbd4e3-91f6-441a-9ef1-528c3019e238\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -820,\n -260\n ],\n \"parameters\": {\n \"width\": 620,\n \"height\": 320,\n \"content\": \"## RAG workflow in n8n\\n\\nThis is an example of how to use RAG techniques to create a chatbot with n8n. It is an API documentation chatbot that can answer questions about the GitHub API. It uses OpenAI for generating embeddings, the gpt-4o-mini LLM for generating responses and Pinecone as a vector database.\\n\\n### Before using this template\\n* create OpenAI and Pinecone accounts\\n* obtain API keys OpenAI and Pinecone \\n* configure credentials in n8n for both\\n* ensure you have a Pinecone index named \\\"n8n-demo\\\" or adjust the workflow accordingly.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"2908105f-c20c-4183-bb9d-26e3559b9911\",\n \"connections\": {\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Embeddings\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate User Query Embedding\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Pinecone Vector Store (Querying)\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Pinecone Vector Store (Querying)\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Tool\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Chat with GitHub OpenAPI Specification using RAG (Pinecone and OpenAI)", "node_count": 17, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for google analytics: weekly report", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 14\n- Node Types: n8n-nodes-base.emailSend, n8n-nodes-base.set, n8n-nodes-base.telegram, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.toolCalculator, n8n-nodes-base.googleAnalytics, n8n-nodes-base.code, n8n-nodes-base.summarize\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n4. **Actions**: n8n-nodes-base.emailSend\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"AAjX1BuwhyXpo8xP\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\"\n },\n \"name\": \"Google Analytics: Weekly Report\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"91ba5982-e226-4f0b-af0d-8c9a44b08279\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -1740,\n 300\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 1\n ],\n \"triggerAtHour\": 7\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"62c38eaf-2222-4d22-8589-677f36bce10d\",\n \"name\": \"Google Analytics Letzte 7 Tage\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n -1540,\n 300\n ],\n \"parameters\": {\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"listName\": \"screenPageViews\"\n },\n {},\n {\n \"listName\": \"sessions\"\n },\n {\n \"listName\": \"sessionsPerUser\"\n },\n {\n \"name\": \"averageSessionDuration\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"ecommercePurchases\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"averagePurchaseRevenue\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"purchaseRevenue\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"345060083\",\n \"cachedResultUrl\": \"https://analytics.google.com/analytics/web/#/p345060083/\",\n \"cachedResultName\": \"https://www.ep-reisen.de – GA4\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {}\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"onRKXREI8izfGzv0\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"0a51c2f3-a487-4226-884f-63d4cb2bf4e4\",\n \"name\": \"Send Email\",\n \"type\": \"n8n-nodes-base.emailSend\",\n \"position\": [\n 420,\n 80\n ],\n \"parameters\": {\n \"html\": \"={{ $json.message.content }}\",\n \"options\": {},\n \"subject\": \"Weekly Report: Google Analytics: Last 7 days\",\n \"toEmail\": \"friedemann.schuetz@ep-reisen.de\",\n \"fromEmail\": \"friedemann.schuetz@posteo.de\"\n },\n \"credentials\": {\n \"smtp\": {\n \"id\": \"A71x7hx6lKj7nxp1\",\n \"name\": \"SMTP account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"04963783-f455-4983-afea-e94b316d8532\",\n \"name\": \"Telegram\",\n \"type\": \"n8n-nodes-base.telegram\",\n \"position\": [\n 420,\n 420\n ],\n \"parameters\": {\n \"text\": \"={{ $json.message.content }}\",\n \"chatId\": \"1810565648\",\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"telegramApi\": {\n \"id\": \"0hnyvxyUMN77sBmU\",\n \"name\": \"Telegram account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"3b6b4902-15b3-4bbc-8427-c35471a7431b\",\n \"name\": \"Processing for Telegram\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 60,\n 420\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Convert the following text from HTML to normal text:\\n\\n{{ $json.message.content }}\\n\\nPlease format the table so that each metric is a separate paragraph!\\n\\nExample:\\n\\nTotal views: xx.xxx\\nTotal views previous year: xx,xxx\\nDifference: x.xx %\\n\\nTotal users: xx,xxx\\nTotal users previous year: xx,xxx\\nDifference: -x.xx %\"\n }\n ]\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"niikB3HA4fT5WAqt\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"d761980c-0327-4d4e-92aa-d0342b2e249e\",\n \"name\": \"Calculator\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCalculator\",\n \"position\": [\n 140,\n 300\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"ce7ba356-80bb-4b17-9445-fb535267cdf0\",\n \"name\": \"Google Analytics: Past 7 days of the previous year\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n -600,\n 300\n ],\n \"parameters\": {\n \"endDate\": \"={{ $json.endDate }}\",\n \"dateRange\": \"custom\",\n \"startDate\": \"={{ $json.startDate }}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"listName\": \"screenPageViews\"\n },\n {},\n {\n \"listName\": \"sessions\"\n },\n {\n \"listName\": \"sessionsPerUser\"\n },\n {\n \"name\": \"averageSessionDuration\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"ecommercePurchases\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"averagePurchaseRevenue\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"purchaseRevenue\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"345060083\",\n \"cachedResultUrl\": \"https://analytics.google.com/analytics/web/#/p345060083/\",\n \"cachedResultName\": \"https://www.ep-reisen.de – GA4\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {}\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"onRKXREI8izfGzv0\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"d2062aaa-e41b-4405-8470-9e7b4cd77245\",\n \"name\": \"Summarize Data\",\n \"type\": \"n8n-nodes-base.summarize\",\n \"position\": [\n -1080,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldsToSummarize\": {\n \"values\": [\n {\n \"field\": \"Aufrufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Nutzer\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen pro Nutzer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Sitzungsdauer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Käufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Revenue pro Kauf\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Revenue\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"date\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d1f48d36-9f27-4cda-af53-e6d430d1a8db\",\n \"name\": \"Summarize Data1\",\n \"type\": \"n8n-nodes-base.summarize\",\n \"position\": [\n -220,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldsToSummarize\": {\n \"values\": [\n {\n \"field\": \"Aufrufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Nutzer\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Sitzungen pro Nutzer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Sitzungsdauer\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Käufe\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"Revenue pro Kauf\",\n \"aggregation\": \"average\"\n },\n {\n \"field\": \"Revenue\",\n \"aggregation\": \"sum\"\n },\n {\n \"field\": \"date\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5b6a0644-3839-4a62-8ff3-bf866aa4568c\",\n \"name\": \"Calculation same period previous year\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -840,\n 300\n ],\n \"parameters\": {\n \"jsCode\": \"return {\\n // Berechnung des Startdatums: Vorjahr, gleiche Woche, 7 Tage zurück\\n startDate: (() => {\\n const date = new Date();\\n date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahr\\n date.setDate(date.getDate() - 7); // 7 Tage zurück\\n return date.toISOString().split('T')[0];\\n })(),\\n \\n // Berechnung des Enddatums: Vorjahr, heutiges Datum\\n endDate: (() => {\\n const date = new Date();\\n date.setFullYear(date.getFullYear() - 1); // Zurück ins Vorjahr\\n return date.toISOString().split('T')[0];\\n })(),\\n};\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ab813532-cbe6-4c41-b20b-7efaa1ae4389\",\n \"name\": \"Assign data\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -1300,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae\",\n \"name\": \"Aufrufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.screenPageViews }}\"\n },\n {\n \"id\": \"8b524518-1268-4971-b5c9-ae7da09d94f9\",\n \"name\": \"Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.totalUsers }}\"\n },\n {\n \"id\": \"ca7279b9-c643-425f-aa99-cb17146e9994\",\n \"name\": \"Sitzungen\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessions }}\"\n },\n {\n \"id\": \"591288f7-e8cf-445e-872a-5b83f997b825\",\n \"name\": \"Sitzungen pro Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessionsPerUser }}\"\n },\n {\n \"id\": \"dc1a43da-3f3a-4dca-bbde-904222d7f693\",\n \"name\": \"Sitzungsdauer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averageSessionDuration }}\"\n },\n {\n \"id\": \"eac0b53e-c452-40b8-92bc-8af8ea349984\",\n \"name\": \"=Käufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.ecommercePurchases }}\"\n },\n {\n \"id\": \"b96439be-189d-4ebe-b49e-d5c31fefe9f0\",\n \"name\": \"Revenue pro Kauf\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averagePurchaseRevenue }}\"\n },\n {\n \"id\": \"94835d43-2fc8-49c0-97f0-6f0f8699337a\",\n \"name\": \"Revenue\",\n \"type\": \"number\",\n \"value\": \"={{ $json.purchaseRevenue }}\"\n },\n {\n \"id\": \"d70f8138-3b84-4b88-a98f-eb929e1cc29a\",\n \"name\": \"date\",\n \"type\": \"string\",\n \"value\": \"={{ $json.date }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"2454fe8a-005d-46dc-ae22-1044c1b793b7\",\n \"name\": \"Assign data1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -400,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"9c2f8b9a-e964-49a0-8837-efb0dfd7bcae\",\n \"name\": \"Aufrufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.screenPageViews }}\"\n },\n {\n \"id\": \"8b524518-1268-4971-b5c9-ae7da09d94f9\",\n \"name\": \"Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.totalUsers }}\"\n },\n {\n \"id\": \"ca7279b9-c643-425f-aa99-cb17146e9994\",\n \"name\": \"Sitzungen\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessions }}\"\n },\n {\n \"id\": \"591288f7-e8cf-445e-872a-5b83f997b825\",\n \"name\": \"Sitzungen pro Nutzer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.sessionsPerUser }}\"\n },\n {\n \"id\": \"dc1a43da-3f3a-4dca-bbde-904222d7f693\",\n \"name\": \"Sitzungsdauer\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averageSessionDuration }}\"\n },\n {\n \"id\": \"eac0b53e-c452-40b8-92bc-8af8ea349984\",\n \"name\": \"=Käufe\",\n \"type\": \"number\",\n \"value\": \"={{ $json.ecommercePurchases }}\"\n },\n {\n \"id\": \"b96439be-189d-4ebe-b49e-d5c31fefe9f0\",\n \"name\": \"Revenue pro Kauf\",\n \"type\": \"number\",\n \"value\": \"={{ $json.averagePurchaseRevenue }}\"\n },\n {\n \"id\": \"94835d43-2fc8-49c0-97f0-6f0f8699337a\",\n \"name\": \"Revenue\",\n \"type\": \"number\",\n \"value\": \"={{ $json.purchaseRevenue }}\"\n },\n {\n \"id\": \"dd8255c6-65b1-41ce-b596-70c09108d6e2\",\n \"name\": \"=date\",\n \"type\": \"string\",\n \"value\": \"={{ $json.date }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"0a48cbb0-3d4c-4ac8-8dba-08213f7fc430\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2220,\n 80\n ],\n \"parameters\": {\n \"width\": 440,\n \"height\": 560,\n \"content\": \"Welcome to my Google Analytics Weekly Report Workflow!\\n\\nThis workflow has the following sequence:\\n\\n1. time trigger (e.g. every Monday at 7 a.m.)\\n2. retrieval of Google Analytics data from the last 7 days\\n3. assignment and summary of the data\\n4. retrieval of Google Analytics data from the last 7 days of the previous year\\n5. allocation and summary of the data\\n6. preparation in tabular form and brief analysis by AI.\\n7. sending the report as an email\\n8. preparation in short form by AI for Telegram (optional)\\n9. sending as Telegram message.\\n\\nThe following accesses are required for the workflow:\\n- Google Analytics (via Google Analytics API): https://docs.n8n.io/integrations/builtin/credentials/google/\\n- AI API access (e.g. via OpenAI, Anthropic, Google or Ollama)\\n- SMTP access data (for sending the mail)\\n- Telegram access data (optional for sending as Telegram message): https://docs.n8n.io/integrations/builtin/credentials/telegram/\\n\\nYou can contact me via LinkedIn, if you have any questions: https://www.linkedin.com/in/friedemann-schuetz\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c87bc648-8fe8-4cec-84d4-2742060f9c53\",\n \"name\": \"Processing for email\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 60,\n 80\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Please analyze the following data and output the results in tabular form:\\n\\n| Metrics | Last 7 days | Previous year | Percentage change |\\n|-------------------------------|---------------|---------|\\n| Total page views | {{ $('Summarize Data').item.json.sum_Aufrufe }} | {{ $('Summarize Data1').item.json.sum_Aufrufe }} | Percentage change |\\n| total users | {{ $('Summarize Data').item.json.sum_Nutzer }} | {{ $('Summarize Data1').item.json.sum_Nutzer }} | Percentage change |\\n| Total sessions | {{ $('Summarize Data').item.json.sum_Sitzungen }} | {{ $('Summarize Data1').item.json.sum_Sitzungen }} | Percentage change |\\n| Average sessions/user | {{ $('Summarize Data').item.json.average_Sitzungen_pro_Nutzer }} | {{ $('Summarize Data1').item.json.average_Sitzungen_pro_Nutzer }} | Percentage change |\\n| Average session duration | {{ $('Summarize Data').item.json.average_Sitzungsdauer }} | {{ $('Summarize Data1').item.json.average_Sitzungsdauer }} | Percentage change |\\n| Total purchases | {{ $('Summarize Data').item.json['sum_Käufe'] }} | {{ $('Summarize Data1').item.json['sum_Käufe'] }} | Percentage change |\\n| Average revenue/purchase | {{ $('Summarize Data').item.json.average_Revenue_pro_Kauf }} | {{ $('Summarize Data1').item.json.average_Revenue_pro_Kauf }} | Percentage change |\\n| Total revenue | {{ $('Summarize Data').item.json.sum_Revenue }} | {{ $('Summarize Data1').item.json.sum_Revenue }} | Percentage change |\\n\\nFormat for numbers:\\n- Dot (.) for numbers in thousands (e.g. 4,000)\\n- Comma (,) for decimal numbers (e.g. 3.4)\\n- Conversion of average session duration in minutes instead of seconds\\n- Average turnover/purchase and total turnover in €\\n\\nPlease write a short summary of the analyzed data above the table (in a maximum of 3 sentences!)\\n\\nPlease format to a sleek and modern HTML format so that the result can be sent as HTML mail!\\n\\nStructure of the e-mail:\\n\\n“Hello! Here is the Weekly Report: Google Analytics of the last 7 days!\\n[Summary]\\n[Table]”\"\n }\n ]\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"niikB3HA4fT5WAqt\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.7\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"556c3292-0d40-4c75-8037-90bacf1b2ccb\",\n \"connections\": {\n \"Telegram\": {\n \"main\": [\n []\n ]\n },\n \"Calculator\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Processing for email\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Assign data\": {\n \"main\": [\n [\n {\n \"node\": \"Summarize Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Assign data1\": {\n \"main\": [\n [\n {\n \"node\": \"Summarize Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarize Data\": {\n \"main\": [\n [\n {\n \"node\": \"Calculation same period previous year\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarize Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Processing for email\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Google Analytics Letzte 7 Tage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Processing for email\": {\n \"main\": [\n [\n {\n \"node\": \"Send Email\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Processing for Telegram\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Processing for Telegram\": {\n \"main\": [\n [\n {\n \"node\": \"Telegram\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Analytics Letzte 7 Tage\": {\n \"main\": [\n [\n {\n \"node\": \"Assign data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calculation same period previous year\": {\n \"main\": [\n [\n {\n \"node\": \"Google Analytics: Past 7 days of the previous year\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Analytics: Past 7 days of the previous year\": {\n \"main\": [\n [\n {\n \"node\": \"Assign data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Google Analytics: Weekly Report", "node_count": 14, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to customer insights with qdrant, python and information extractor", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 37\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreQdrant, n8n-nodes-base.executeWorkflowTrigger, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, n8n-nodes-base.executeWorkflow, n8n-nodes-base.html, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"63501cc8-77c9-4037-9f70-da23b6d20b03\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 280,\n 440\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"00de989c-d9e9-4b42-b5db-7097800a6017\",\n \"name\": \"Zip Entries\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1380,\n 360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"833a554d-2b39-4160-9348-18b17b28ce30\",\n \"name\": \"data\",\n \"type\": \"array\",\n \"value\": \"={{ \\n $json.review_author.map((review_author, idx) => ({\\n review_author,\\n review_author_reviews_count: $json.review_author_reviews_count[idx].replace(' reviews', '').toInt(),\\n review_country: $json.review_country[idx],\\n review_date: $json.review_date[idx].toDate(),\\n review_date_of_experience: $json.review_date_of_experience[idx].replace('Date of experience: ', '').toDate(),\\n review_rating: $json.review_rating[idx].toInt(),\\n review_text: $json.review_text[idx],\\n review_title: $json.review_title[idx],\\n review_url: $('Get TrustPilot Page').params.url.match(/https:\\\\/\\\\/[^/]+/) + $json.review_url[idx],\\n }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9290e116-c001-49d5-ae4c-d91cd246f2c2\",\n \"name\": \"Extract Reviews\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1140,\n 520\n ],\n \"parameters\": {\n \"options\": {\n \"trimValues\": true\n },\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"review_author\",\n \"cssSelector\": \"[data-service-review-card-paper] [data-consumer-name-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_rating\",\n \"attribute\": \"data-service-review-rating\",\n \"cssSelector\": \"[data-service-review-rating]\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n },\n {\n \"key\": \"review_title\",\n \"cssSelector\": \"[data-service-review-title-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_text\",\n \"cssSelector\": \"[data-service-review-text-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_date_of_experience\",\n \"cssSelector\": \"[data-service-review-date-of-experience-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_date\",\n \"attribute\": \"datetime\",\n \"cssSelector\": \"[data-service-review-date-time-ago]\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n },\n {\n \"key\": \"review_country\",\n \"cssSelector\": \"[data-consumer-country-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_author_reviews_count\",\n \"cssSelector\": \"[data-consumer-reviews-count-typography]\",\n \"returnArray\": true\n },\n {\n \"key\": \"review_url\",\n \"attribute\": \"href\",\n \"cssSelector\": \"a[data-review-title-typography]\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"4aa3e50d-fcce-48a7-8237-c12f8592f69e\",\n \"name\": \"Reviews to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1380,\n 520\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a6b9abf9-a17a-4f30-9f90-6183770c4933\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1980,\n 520\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"review_author\",\n \"value\": \"={{ $json.review_author }}\"\n },\n {\n \"name\": \"review_author_reviews_count\",\n \"value\": \"={{ $json.review_author_reviews_count }}\"\n },\n {\n \"name\": \"review_country\",\n \"value\": \"={{ $json.review_country }}\"\n },\n {\n \"name\": \"review_date\",\n \"value\": \"={{ $json.review_date }}\"\n },\n {\n \"name\": \"review_date_of_experience\",\n \"value\": \"={{ $json.review_date_of_experience }}\"\n },\n {\n \"name\": \"review_rating\",\n \"value\": \"={{ $json.review_rating }}\"\n },\n {\n \"name\": \"review_date_month\",\n \"value\": \"={{ $json.review_date.toDateTime().format('M') }}\"\n },\n {\n \"name\": \"review_date_year\",\n \"value\": \"={{ $json.review_date.toDateTime().format('yyyy') }}\"\n },\n {\n \"name\": \"review_date_of_experience_month\",\n \"value\": \"={{ $json.review_date_of_experience.toDateTime().format('M') }}\"\n },\n {\n \"name\": \"review_date_of_experience_year\",\n \"value\": \"={{ $json.review_date_of_experience.toDateTime().format('yyyy') }}\"\n },\n {\n \"name\": \"company_id\",\n \"value\": \"={{ $('Set Variables').item.json.companyId }}\"\n },\n {\n \"name\": \"review_url\",\n \"value\": \"={{ $json.review_url }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.review_title }}\\n{{ $json.review_text }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afd8907c-9a59-4dcc-94c5-2114fb2a7d5d\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1980,\n 660\n ],\n \"parameters\": {\n \"options\": {},\n \"chunkSize\": 4000\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e22d92b8-e8e9-42aa-9d02-2e70234f11ed\",\n \"name\": \"Embeddings OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 1860,\n 520\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f0ea6b63-c96d-4b3f-8a21-d0f2dbb4efc3\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 520,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2e58a9fa-a14d-4a6c-8cc8-8ec947c791fb\",\n \"name\": \"companyId\",\n \"type\": \"string\",\n \"value\": \"www.freddiesflowers.com\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"0188986f-fbe9-4c06-892a-3cb71b52a309\",\n \"name\": \"Get Payload of Points\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1740,\n 1120\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/trustpilot_reviews/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n {\\n \\\"ids\\\": $json.points,\\n \\\"with_payload\\\": true\\n }\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5fc6e0b6-507f-4cfd-951b-be3709b86ac2\",\n \"name\": \"Clusters To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1480,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f21369b9-1dd5-4b35-a1f3-00fd67794051\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2140,\n 1340\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b0075699-6513-4781-b5de-81d1ab81dfe1\",\n \"name\": \"Only Clusters With 3+ points\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1480,\n 1300\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"328f806c-0792-4d90-9bee-a1e10049e78f\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"lengthGt\",\n \"rightType\": \"number\"\n },\n \"leftValue\": \"={{ $json.points }}\",\n \"rightValue\": 2\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f6a6209c-d269-4238-8e92-230df7b41df9\",\n \"name\": \"Set Variables1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 519,\n 1220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2e58a9fa-a14d-4a6c-8cc8-8ec947c791fb\",\n \"name\": \"companyId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.companyId }}\"\n },\n {\n \"id\": \"37cf8af2-6f0f-40b1-b822-c9bd6a620a3c\",\n \"name\": \"review_date_from\",\n \"type\": \"string\",\n \"value\": \"={{ $today.startOf('month').toISO() }}\"\n },\n {\n \"id\": \"8d72f739-f832-4c25-b62a-2ae70ad2b1e7\",\n \"name\": \"review_date_to\",\n \"type\": \"string\",\n \"value\": \"={{ $today.endOf('month').toISO() }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"85cb48b1-0ab9-4f88-88f3-82fcfb041ebe\",\n \"name\": \"Find Reviews\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 896,\n 1160\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/trustpilot_reviews/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"limit\\\": 500,\\n \\\"filter\\\":{\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.company_id\\\",\\n \\\"match\\\": { \\\"value\\\": \\\"{{ $('Set Variables1').item.json.companyId }}\\\" }\\n },\\n {\\n \\\"key\\\": \\\"metadata.review_date\\\",\\n \\\"range\\\": {\\n \\\"gte\\\": \\\"{{ $('Set Variables1').item.json.review_date_from }}\\\",\\n \\\"gt\\\": null,\\n \\\"lt\\\": null,\\n \\\"lte\\\": \\\"{{ $('Set Variables1').item.json.review_date_to }}\\\"\\n }\\n }\\n ]\\n },\\n \\\"with_vector\\\":true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"69bbd197-c78f-4dae-9300-fe23d4d49855\",\n \"name\": \"Prep Output For Export\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2720,\n 1203\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={{ {\\n ...$json.output,\\n \\\"CompanyID\\\": $('Set Variables1').item.json.companyId,\\n \\\"From\\\": $('Set Variables1').item.json.review_date_from,\\n \\\"To\\\": $('Set Variables1').item.json.review_date_to,\\n \\\"Number of Responses\\\": $('Get Payload of Points').item.json.result.length,\\n \\\"Raw Responses\\\": $('Get Payload of Points').item.json.result.map(item =>\\n [\\n item.payload.metadata.review_date,\\n item.payload.metadata.review_author,\\n item.payload.metadata.review_rating,\\n item.payload.content.replaceAll('\\\"', '\\\\\\\"').replaceAll('\\\\n', ' '),\\n item.payload.metadata.review_url,\\n ]\\n ).join('\\\\n')\\n} }}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d77daa23-6acf-4daa-bf4c-33da4d05a54c\",\n \"name\": \"Export To Sheets\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 2940,\n 1203\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {},\n \"schema\": [\n {\n \"id\": \"CompanyID\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"CompanyID\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"From\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"From\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"To\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"To\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Insight\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Insight\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Sentiment\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Sentiment\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Suggested Improvements\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Suggested Improvements\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Number of Responses\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Number of Responses\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Raw Responses\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Raw Responses\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"autoMapInputData\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"append\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"=Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"=1wAwWCcIZod00IGtxwTbTgjIRbKHu3Yl9wYWJ8GeT2Os\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"1f60c3a5-a47a-4313-9b29-8ea652d573f7\",\n \"name\": \"Clear Existing Reviews\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 760,\n 440\n ],\n \"parameters\": {\n \"url\": \"http://qdrant:6333/collections/trustpilot_reviews/points/delete\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.company_id\\\",\\n \\\"match\\\": {\\n \\\"value\\\": \\\"{{ $('Set Variables').item.json.companyId }}\\\"\\n }\\n }\\n ]\\n }\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"61c3117c-757c-45dd-b9d5-1122b793be30\",\n \"name\": \"Trigger Insights\",\n \"type\": \"n8n-nodes-base.executeWorkflow\",\n \"position\": [\n 2660,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"workflowId\": \"={{ $workflow.id }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d3c6e81f-34bb-4be9-b869-2c219b87c4fb\",\n \"name\": \"Prep Values For Trigger\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2460,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"24dd90ad-390f-444e-ba6c-8c06a41e836e\",\n \"name\": \"companyId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Set Variables').item.json.companyId }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"64af9cc7-a194-4427-ba78-d9a1136b962f\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 316,\n 1220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b6ba502-36c2-41e6-9d67-781d0d40a569\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 186.9455564469605,\n 263.2301011325764\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 787.3314861380661,\n \"height\": 465.52420584035275,\n \"content\": \"## Step 1. Starting Fresh\\nFor this demo, we'll clear any existing records in our Qdrant vector store for the selected company. We do this using the Qdrant's delete points API.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a99389d4-8ea6-4379-b725-f30e92b0d29e\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1006.3778510483207,\n 148.50042906971555\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 638.5221986278162,\n \"height\": 580.2538779032135,\n \"content\": \"## Step 2. Scraping TrustPilot For Company Reviews\\n[Read more about HTTP Request Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/)\\n\\nWe'll scrape at the most recent 3 pages of reviews for illustrative purposes but we could easily scrape them all if required. The HTML node offers a convenient way to extract data from the returned html pages and using it, we'll retrieve all the reviews data.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"139ccadd-9135-4681-b2eb-403b8d8bd710\",\n \"name\": \"Get TrustPilot Page\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1140,\n 360\n ],\n \"parameters\": {\n \"url\": \"=https://uk.trustpilot.com/review/{{ $('Set Variables').item.json.companyId }}?sort=recency\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"page\",\n \"value\": \"={{ $pageCount + 1 }}\"\n }\n ]\n },\n \"maxRequests\": 3,\n \"limitPagesFetched\": true\n }\n }\n }\n },\n \"executeOnce\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1c71db65-713b-4c31-9c11-5ff678fb327a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1680,\n 140\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 638.5221986278162,\n \"height\": 689.8000993522735,\n \"content\": \"## Step 3. Store Reviews in Qdrant\\n[Learn more about the Qdrant Vector Store](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant/)\\n\\nVector databases are a great way to store data if you're interested in perform similiarity searches which applies here as we want to group similar reviews to find patterns. Qdrant is a powerful vector database and tool of choice because of its robust API implementation and advanced filtering capabilities.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a4f82a1b-5a76-46b6-a7a3-84ab09b46699\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1860,\n 360\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"=trustpilot_reviews\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cbad9e73-c5b3-474c-95ef-7269addc4e62\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 216,\n 1000\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 543.4265511994403,\n \"height\": 453.31956386852846,\n \"content\": \"## Step 5. The Insight Subworkflow\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflowtrigger)\\n\\nThis subworkflow takes the companyId to find the relevant records in our Qdrant vector store. It also takes a \\\"from\\\" and \\\"to\\\" date to scope the insights to a particular range - doing this we can say something like \\\"we only want insights for the past month of reviews\\\". \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9c530716-63f4-4368-8d0e-0cdbe8f5b08e\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 780,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 557.7420442679241,\n \"height\": 526.2781960611934,\n \"content\": \"## Step 6. Apply Clustering Algorithm to Reviews\\n[Read more about using Python in n8n](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\\n\\nWe'll retrieve our vectors embeddings for the desired company reviews and perform an advanced clustering algorithm on them. This powerful echnique allows us to quickly group similar embeddings into clusters which we can then use to discover popular feedback, opinions and pain-points!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9790b3a5-cc7c-4e12-8038-fc661c8226f8\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1360,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 598.5585287222906,\n \"height\": 605.9905193915599,\n \"content\": \"## Step 7. Fetch Reviews By Cluster\\n[Learn more about using the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/)\\n\\nWith the Qdrant point IDs grouped and returned by our code node, all that's left is to fetch the payload of each. Note that the clustering algorithm isn't perfect and may require some tweaking depending on your data.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"267057b6-9727-4a45-9d87-5429da42f48e\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1980,\n 969\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 587.6069484146701,\n \"height\": 552.9535170892194,\n \"content\": \"## Step 8. Getting Insights from Grouped Reviews\\n[Read more about using Information Extractor Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor)\\n\\nNext, we'll use our state-of-the-art LLM to generate insights on our reviews. Doing it this way, we'll able to pull more granular results addressing many key topics within the reviews.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b8cc07d0-ffa3-425f-ae74-76dcb68fa88f\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2600,\n 980\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 572.5638733479158,\n \"height\": 464.4019616956416,\n \"content\": \"## Step 9. Write To Insights Sheet\\nFinally, our completed insights to appended to the Insights Sheet we created earlier in the workflow.\\n\\nYou can find a sample sheet here: https://docs.google.com/spreadsheets/d/e/2PACX-1vQ6ipJnXWXgr5wlUJnhioNpeYrxaIpsRYZCwN3C-fFXumkbh9TAsA_JzE0kbv7DcGAVIP7az0L46_2P/pubhtml\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0dac0854-7106-44e3-bd68-fad7b201a6bc\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2340,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 519.6419932444072,\n \"height\": 429.11782776909047,\n \"content\": \"## Step 4. Trigger Insights SubWorkflow\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflow)\\n\\nA subworkflow is used to trigger the analysis for the survey. This separation is optional but used here to better demonstrate the two part process.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4aa7e73e-c29d-41df-b2f8-a62109285ccb\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 380\n ],\n \"parameters\": {\n \"width\": 226.36363118160727,\n \"height\": 327.0249036433755,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 Set company here!\\nTrustpilot must recognise it as part of the url.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d895cf9-452c-401e-a6f3-b9d3a359a96d\",\n \"name\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1116,\n 1160\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"import numpy as np\\nfrom sklearn.cluster import KMeans\\n\\n# get vectors for all answers\\npoint_ids = [item.id for item in _input.first().json.result.points]\\nvectors = [item.vector.to_py() for item in _input.first().json.result.points]\\nvectors_array = np.array(vectors)\\n\\n# apply k-means clustering where n_clusters = 5\\n# this is a max and we'll discard some of these clusters later\\nkmeans = KMeans(n_clusters=min(len(vectors), 5), random_state=42).fit(vectors_array)\\nlabels = kmeans.labels_\\nunique_labels = set(labels)\\n\\n# Extract and print points in each cluster\\nclusters = {}\\nfor label in set(labels):\\n clusters[label] = vectors_array[labels == label]\\n\\n# return Qdrant point ids for each cluster\\n# we'll use these ids to fetch the payloads from the vector store.\\noutput = []\\nfor cluster_id, cluster_points in clusters.items():\\n points = [point_ids[i] for i in range(len(labels)) if labels[i] == cluster_id]\\n output.append({\\n \\\"id\\\": f\\\"Cluster {cluster_id}\\\",\\n \\\"total\\\": len(cluster_points),\\n \\\"points\\\": points\\n })\\n\\nreturn {\\\"json\\\": {\\\"output\\\": output } }\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"95c57019-d9d7-4d9f-93dd-21d3d9708861\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -260,\n 40\n ],\n \"parameters\": {\n \"width\": 400.381109509268,\n \"height\": 612.855812336249,\n \"content\": \"## Try It Out!\\n\\n### This workflow generates highly-detailed customer insights from Trustpilot reviews. Works best when dealing with a large number of reviews.\\n\\n* Import Trustpilot reviews and vectorise in Qdrant vectorstore.\\n* Identify clusters of popular topics in reviews using K-means clustering algorithm. \\n* Each valid cluster is analysed and summarised by LLM.\\n* Export LLM response and cluster results back into sheet.\\n\\nCheck out the reference google sheet here: https://docs.google.com/spreadsheets/d/e/2PACX-1vQ6ipJnXWXgr5wlUJnhioNpeYrxaIpsRYZCwN3C-fFXumkbh9TAsA_JzE0kbv7DcGAVIP7az0L46_2P/pubhtml\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9bba9480-792e-48e3-ad9f-8809ce3aba09\",\n \"name\": \"Customer Insights Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2140,\n 1180\n ],\n \"parameters\": {\n \"text\": \"=The {{ $json.result.length }} reviews were:\\n{{\\n$json.result.map(item =>\\n`* ${item.payload.metadata.review_author} gave ${item.payload.metadata.review_rating} stars: \\\"${item.payload.content.replaceAll('\\\"', '\\\\\\\"').replaceAll('\\\\n', ' ')}\\\"`\\n).join('\\\\n')\\n}}\",\n \"options\": {\n \"systemPromptTemplate\": \"=You help summarise a selection of trustpilot reviews for a company called \\\"{{ $json.result[0].payload.metadata.company_id }}\\\".\\nThe {{ $json.result.length }} reviews were selected because their contents were similar in context.\\n\\nYour task is to: \\n* summarise the given reviews into a short paragraph. Provide an insight from this summary and what we could learn from the reviews.\\n* determine if the overall sentiment of all the listed responses to be either strongly negative, negative, neutral, positive or strongly positive.\"\n },\n \"schemaType\": \"fromJson\",\n \"jsonSchemaExample\": \"{\\n\\t\\\"Insight\\\": \\\"\\\",\\n \\\"Sentiment\\\": \\\"\\\",\\n \\\"Suggested Improvements\\\": \\\"\\\"\\n}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4488deb9-27f6-4f9d-b17e-9b5e7a1bba33\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 180,\n 760\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 80,\n \"content\": \"### Run this once! \\nIf for any reason you need to run more than once, be sure to clear the existing data first.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5cb3bd73-1e77-4eba-9d2e-634fdc374330\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 780,\n 1480\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 110.05160146874424,\n \"content\": \"### First Time Running?\\nThere is a slight delay on first run because the code node has to download the required packages.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Zip Entries\": {\n \"main\": [\n [\n {\n \"node\": \"Reviews to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Find Reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Clear Existing Reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables1\": {\n \"main\": [\n [\n {\n \"node\": \"Find Reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Zip Entries\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Reviews to List\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clusters To List\": {\n \"main\": [\n [\n {\n \"node\": \"Only Clusters With 3+ points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Customer Insights Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get TrustPilot Page\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Values For Trigger\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Payload of Points\": {\n \"main\": [\n [\n {\n \"node\": \"Customer Insights Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clear Existing Reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Get TrustPilot Page\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Output For Export\": {\n \"main\": [\n [\n {\n \"node\": \"Export To Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Customer Insights Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Output For Export\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Values For Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Trigger Insights\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only Clusters With 3+ points\": {\n \"main\": [\n [\n {\n \"node\": \"Get Payload of Points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Apply K-means Clustering Algorithm\": {\n \"main\": [\n [\n {\n \"node\": \"Clusters To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Customer Insights with Qdrant, Python and Information Extractor", "node_count": 37, "category": "Data Processing"}} {"prompt": "Build a workflow for: Deduplicate Scraping Ai Grants For Eligibility Using Ai", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 24\n- Node Types: n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.html, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.gmail, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.informationExtractor, n8n-nodes-base.airtable, n8n-nodes-base.removeDuplicates\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"c17e444e-0a5e-4bfe-8de6-c3185de4465d\",\n \"name\": \"Grants to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n -240,\n -180\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"oppHits\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9251d39c-6098-42fa-aadd-3a22464dee64\",\n \"name\": \"Get Grant Details\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 280,\n -280\n ],\n \"parameters\": {\n \"url\": \"https://apply07.grants.gov/grantsws/rest/opportunity/details\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"contentType\": \"form-urlencoded\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"oppId\",\n \"value\": \"={{ $json.id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ade994d6-a1f8-45bf-a82e-83eb38da08d6\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 440,\n -120\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d81b20e-0038-48d3-840c-3fcf8b798a0d\",\n \"name\": \"Summarize Synopsis\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 460,\n -280\n ],\n \"parameters\": {\n \"text\": \"=Agency: {{ $json.synopsis.agencyName }}\\nTitle: {{ $json.opportunityTitle }}\\nSynopsis: {{ $json.synopsis.synopsisDesc }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You've been given a grant opportunity listing. Help summarize the opportunity in simple terms.\"\n },\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n\\t\\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n \\\"goal\\\": { \\\"type\\\": [\\\"string\\\", \\\"null\\\"] },\\n \\\"duration\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"success_criteria\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" }\\n },\\n \\\"good_to_know\\\": {\\n\\t\\t \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n\\t}\\n}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"71e1a2e9-6690-4247-aae3-f5bd61019553\",\n \"name\": \"Eligibility Factors\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 640,\n -120\n ],\n \"parameters\": {\n \"text\": \"=Agency: {{ $json.synopsis.agencyName }}\\nTitle: {{ $json.opportunityTitle }}\\nSynopsis: {{ $json.synopsis.synopsisDesc }}\\nEligibility: {{ $json.synopsis.applicantEligibilityDesc }}\",\n \"options\": {\n \"systemPromptTemplate\": \"Help determine if we are eligible for this grant.\\n\\nWe are AI Consultants Limited (“Company”) and are the controllers of your personal data. Our registered office is Unit 29, Intelligent Park, Milton Road, Cambridge Cambridgeshire CB9 RDW, and our registered company number is 1234567.\\n\\nWe are part of a group of companies which provides consultancy services across the globe. Our other group companies are:\\n\\nAI Consultants Inc. of 2 Drydock Avenue, Suite 1210, Boston, MA 02210, USA\\nAI Consultants (Singapore) Pte Ltd of 300 Beach Road, Singapore 199555\\nAI Consultants Japan Inc, of 3-1-3 Minamiaoyama, Minato-ku, Tokyo, 107-0062\\nIn the UK we are registered with the Information Commissioner’s Office under registration number Z9888888.\\n\\nIn the US we are registered with the Data Privacy Framework Program (DPF). To view the Company’s certification, please visit https://www.dataprivacyframework.gov/list.\\n\\nWe are a leading, worldwide product development service provider. We specialise in design engineering services, professional technical services and product technical support services (“Services”).\\n\\nAs the deep tech powerhouse of Capgemini, CC spearheads transformative projects to solve the toughest scientific and engineering challenges. Ambitious clients collaborate with us to create new-to-the-world technologies, services and products that have never been seen before. Our unique combination of technical, commercial and market expertise yields market-leading solutions that are hard to copy. This creates valuable intellectual property that generates protectable long-term value.\\n\\nWe work with some of the world’s biggest brands and most ambitious technology start-up ventures across a wide range of markets. From aerospace to agritech, consumer to industry, communications to healthcare, our knowledge of one sector can often be applied to another to create new breakthroughs. We focus on our clients’ success and we are trusted as integral partners in the future of their businesses.\\n\\nWe do important, difficult, radical and impactful things that benefit society. We helped develop the world's first 24/7 wrist-worn activity monitor, wireless pacemaker and wireless patient monitor, as well as the first connected drug inhaler. Our work led to the most densely packed cellular network in the world – orchestrating swarms of bots across highly automated warehouses. It produced the Bluetooth chip that connects your phone to your car and the latest satellite technology that lets people in remote locations across the world keep in touch.\"\n },\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n\\t\\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n\\t\\t\\\"eligibility_matches\\\": {\\n\\t\\t \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n\\t}\\n}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d741ef63-dcf3-452d-978c-8cbc27f55a33\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 600,\n 20\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7354ed6d-50f5-4234-90d8-2d9d0c7eccd4\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1000,\n -120\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"2dffda98-18c6-4c7b-8fc3-0e6539642ea2\",\n \"name\": \"Save to Tracker\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1420,\n -20\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appiNoPRvhJxz9crl\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl\",\n \"cachedResultName\": \"US Grants.gov Tracker\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblX93C9MNzizhibd\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl/tblX93C9MNzizhibd\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"URL\": \"=https://grants.gov/search-results-detail/{{ $('Get Grant Details').item.json.id }}\",\n \"Goal\": \"={{ $json.output.goal }}\",\n \"Notes\": \"={{ $json.output.good_to_know.join('\\\\n') }}\",\n \"Title\": \"={{ $('Get Grant Details').item.json.opportunityTitle }}\",\n \"Agency\": \"={{ $('Get Grant Details').item.json.synopsis.agencyContactName }}\",\n \"Status\": \"New\",\n \"Funding\": \"={{ $('Get Grant Details').item.json.synopsis.estimatedFunding }}\",\n \"Duration\": \"={{ $json.output.duration }}\",\n \"Award Floor\": \"={{ $('Get Grant Details').item.json.synopsis.awardFloor }}\",\n \"Posted Date\": \"={{ $('Get Grant Details').item.json.synopsis.postingDate }}\",\n \"Agency Email\": \"={{ $('Get Grant Details').item.json.synopsis.agencyContactEmail }}\",\n \"Agency Phone\": \"={{ $('Get Grant Details').item.json.synopsis.agencyContactPhone }}\",\n \"Eligibility?\": \"={{ $json.output.eligibility_matches.length > 0 ? 'Yes' : 'No' }}\",\n \"Award Ceiling\": \"={{ $('Get Grant Details').item.json.synopsis.awardCeiling }}\",\n \"Response Date\": \"={{ $('Get Grant Details').item.json.synopsis.responseDate }}\",\n \"Success Criteria\": \"={{ $json.output.success_criteria.join('\\\\n') }}\",\n \"Eligibility Notes\": \"={{ $json.output.eligibility_matches.join('\\\\n') }}\",\n \"Opportunity Number\": \"={{ $('Get Grant Details').item.json.opportunityNumber }}\"\n },\n \"schema\": [\n {\n \"id\": \"Opportunity Number\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Opportunity Number\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Status\",\n \"type\": \"options\",\n \"display\": true,\n \"options\": [\n {\n \"name\": \"New\",\n \"value\": \"New\"\n },\n {\n \"name\": \"Under Review\",\n \"value\": \"Under Review\"\n },\n {\n \"name\": \"Interested\",\n \"value\": \"Interested\"\n },\n {\n \"name\": \"Not Interested\",\n \"value\": \"Not Interested\"\n }\n ],\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Status\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Title\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Title\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"URL\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"URL\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Goal\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Goal\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Success Criteria\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Success Criteria\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Notes\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Notes\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Eligibility?\",\n \"type\": \"options\",\n \"display\": true,\n \"options\": [\n {\n \"name\": \"Yes\",\n \"value\": \"Yes\"\n },\n {\n \"name\": \"No\",\n \"value\": \"No\"\n }\n ],\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Eligibility?\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Eligibility Notes\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Eligibility Notes\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Duration\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Duration\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Agency\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Agency\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Agency Email\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Agency Email\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Agency Phone\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Agency Phone\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Posted Date\",\n \"type\": \"dateTime\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Posted Date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Response Date\",\n \"type\": \"dateTime\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Response Date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Funding\",\n \"type\": \"number\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Funding\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Award Ceiling\",\n \"type\": \"number\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Award Ceiling\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Award Floor\",\n \"type\": \"number\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Award Floor\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"f0712788-b801-4070-a5c2-2f7ed620588e\",\n \"name\": \"Only New Grants\",\n \"type\": \"n8n-nodes-base.removeDuplicates\",\n \"position\": [\n -60,\n -180\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"removeItemsSeenInPreviousExecutions\",\n \"dedupeValue\": \"={{ $json.id }}\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"fb4ac14d-0bdd-40f7-9b31-3a23450b1f0b\",\n \"name\": \"AI Grants since Yesterday\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -420,\n -180\n ],\n \"parameters\": {\n \"url\": \"https://apply07.grants.gov/grantsws/rest/opportunities/search\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"keyword\\\": \\\"ai\\\",\\n \\\"cfda\\\": null,\\n \\\"agencies\\\": null,\\n \\\"sortBy\\\": \\\"openDate|desc\\\",\\n \\\"rows\\\": 5000,\\n \\\"eligibilities\\\": null,\\n \\\"fundingCategories\\\": null,\\n \\\"fundingInstruments\\\": null,\\n \\\"dateRange\\\": \\\"1\\\",\\n \\\"oppStatuses\\\": \\\"forecasted|posted\\\"\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"0446c882-764a-4c94-8c49-f368c50586a0\",\n \"name\": \"Get New Eligible Grants Today\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n -400,\n 500\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appiNoPRvhJxz9crl\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl\",\n \"cachedResultName\": \"US Grants.gov Tracker\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblX93C9MNzizhibd\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl/tblX93C9MNzizhibd\",\n \"cachedResultName\": \"Table 1\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"filterByFormula\": \"=AND(\\n {Status} = 'New',\\n {Eligibility?} = 'Yes',\\n IS_SAME(DATETIME_FORMAT(Created, 'YYYY-MM-DD'), DATETIME_FORMAT(TODAY(), 'YYYY-MM-DD'))\\n)\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"70bca43a-d00e-4ee6-828a-9926ba1d8fdb\",\n \"name\": \"Generate Email\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -160,\n 500\n ],\n \"parameters\": {\n \"html\": \"\\n\\n\\n\\n \\n \\n \\n \\n \\n \\n \\n \\n \\n\\n\\n\\n\\n \\n \\n \\n \\n
\\n \\n \\n\\n\\n\\n\"\n },\n \"executeOnce\": true,\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"12bd72f5-3028-4572-b59e-1cc143e44a86\",\n \"name\": \"Everyday @ 9am\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -720,\n 460\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"triggerAtHour\": 8\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"ca62c507-bce5-4a63-be0e-e60591408668\",\n \"name\": \"Everyday @ 8.30am\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -720,\n -220\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"triggerAtHour\": 8,\n \"triggerAtMinute\": 30\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"032bec7e-5aff-4103-b81e-e5bc4a88ddde\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -540,\n -420\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 700,\n \"height\": 480,\n \"content\": \"## 1. Fetch Latest AI Grants, Ignore Those Already Seen\\n[Learn more about the Remove Duplicates node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.removeduplicates/)\\n\\nA cool feature of n8n's remove duplicates node is that it works across executions. What this means for this template is that the node will help us keep track of grant IDs to know if we've already processed them and if so, filter them out so we won't have duplicate alerts.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"07147665-3571-4512-adce-2727dcb95240\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 180,\n -520\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 1000,\n \"height\": 720,\n \"content\": \"## 2. Quickly Determine Eligibility Using AI\\n[Learn more about the Information Extractor node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor/)\\n\\nQualifying Leads requires a lot of contextual reasoning taking into account many factors such as commercials, location and eligibility criteria. Whilst it's not guaranteed AI can or will solve this for your particular requirements, it can however get you a good distance of the way there!\\n\\nAI in this template intends to reduce time (and therefore cost) for a team member needs to spend per grant listing or increase their coverage of grants which they would otherwise miss due to capacity.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f4758b4d-727a-4ce8-b071-3388eb16b219\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n -280\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 520,\n \"height\": 480,\n \"content\": \"## 3. Save Results to Grant Tracker\\n[Learn more about the Airtable Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable/)\\n\\nIn n8n, it's easy to send your data anywhere to manage yourself, share with your team or reuse with other workflows. Here for demonstration purposes, we'll just store each grant as a row in our Airtable database.\\n\\nCheck out the sample Airtable here: https://airtable.com/appiNoPRvhJxz9crl/shrRdP6zstgsxjDKL\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a7861a21-021f-4629-b863-2163c7436d13\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -540,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 620,\n \"height\": 500,\n \"content\": \"## 4. Generate Latest AI Grants Alert Email\\n[Learn more about the HTML Template node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.html/)\\n\\nUsing our freshly collected AI grants, it would be nice if we can share them with our team members via email. A nicely formatted email digest can be generated using the HTML template node, with added links for greater impact.\\n\\nHere in this demonstration, we will loop through all eligible new grants and compile them into a newsletter format using the HTML node.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d09af53-92cb-4288-86d7-dcf695bfb358\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 100,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 640,\n \"height\": 500,\n \"content\": \"## 5. Send to a list of Subscribers\\n[Learn more about the Gmail node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.gmail/)\\n\\nFinally, we can source a list of subscribers to send our generated email newsletter.\\n\\nHere, our subscriber list is another table alongside our grants table that we can import that list using the Airtable node. You can use any email provider that supports HTML but for this demonstration, we're using Gmail for simplicity sake.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"784d59f3-5b1f-4404-bc04-4bd58cf03585\",\n \"name\": \"Get Subscribers\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 240,\n 500\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appiNoPRvhJxz9crl\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl\",\n \"cachedResultName\": \"US Grants.gov Tracker\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblaS91hyhguntfaC\",\n \"cachedResultUrl\": \"https://airtable.com/appiNoPRvhJxz9crl/tblaS91hyhguntfaC\",\n \"cachedResultName\": \"Subscribers\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"filterByFormula\": \"AND({Status} = 'Active')\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"3be0788b-90ef-4648-aa25-1170208a685d\",\n \"name\": \"Send Subscriber Email\",\n \"type\": \"n8n-nodes-base.gmail\",\n \"position\": [\n 480,\n 500\n ],\n \"webhookId\": \"37eeec7a-1982-4137-8473-313bfb6c5b42\",\n \"parameters\": {\n \"sendTo\": \"={{ $json.Email }}\",\n \"message\": \"={{ $('Generate Email').first().json.html }}\",\n \"options\": {},\n \"subject\": \"Daily Newletter for Intersting US Grants\"\n },\n \"credentials\": {\n \"gmailOAuth2\": {\n \"id\": \"Sf5Gfl9NiFTNXFWb\",\n \"name\": \"Gmail account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"14a65482-b314-4a2f-9ce3-87e3aae126f9\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1280,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 460,\n \"height\": 200,\n \"content\": \"## Scheduled Triggers\\n[Learn more about Scheduled Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger)\\n\\nScheduled triggers are a great way to run this template automatically in the morning ready for your team before they start their working day.\\n\\nFeel free to adjust the interval to a time which suits you!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b172eb7a-58bc-4d4a-be22-796d34a59897\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1280,\n -620\n ],\n \"parameters\": {\n \"width\": 460,\n \"height\": 900,\n \"content\": \"## Try It Out!\\n\\n### This n8n templates demonstrates how to automatically ingest a source of leads at regular intervals and take advantage of n8n's remove duplicates node to simplify duplicate detection.\\nAdditionally after the leads are captured, a simple alerts notification can be generated and shared with team members.\\n\\n### How it works\\n* A scheduled trigger is set to fetch a list of AI grants listed on the grants.gov website in the past day.\\n* A Remove Duplicates node is used to track Grant IDs to filter out those already processed by the workflow.\\n* New grants are summarized and analysed by AI nodes to determine eligibility and interest which is then saved to an Airtable database.\\n* Another scheduled trigger starts a little later than the first to collect and summarize the new grants\\n* The results are then compiled into an email template using the HTML node, in the form of a newsletter designed to alert and brief team members of new AI grants.\\n* This email is then sent to a list of subscribers using the gmail node.\\n\\n## How to use\\n* Make a copy of sample Airtable here: https://airtable.com/appiNoPRvhJxz9crl/shrRdP6zstgsxjDKL\\n* The filters for fetching the grants is currently set to the \\\"AI\\\" category. Feel free to change this to include more categories.\\n* Not interested in grants, this template can works for other sources of leads just change the endpoint and how you're defining the item ID to track.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f9849413-4dad-44dc-92ec-8879d123bfd3\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 720,\n 40\n ],\n \"parameters\": {\n \"width\": 320,\n \"height\": 120,\n \"content\": \"### Add your company details here!\\nCompany details are added in the system prompt to help the AI determine eligibility. The more details the better!\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Save to Tracker\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Everyday @ 9am\": {\n \"main\": [\n [\n {\n \"node\": \"Get New Eligible Grants Today\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Email\": {\n \"main\": [\n [\n {\n \"node\": \"Get Subscribers\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Grants to List\": {\n \"main\": [\n [\n {\n \"node\": \"Only New Grants\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Subscribers\": {\n \"main\": [\n [\n {\n \"node\": \"Send Subscriber Email\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only New Grants\": {\n \"main\": [\n [\n {\n \"node\": \"Get Grant Details\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Save to Tracker\": {\n \"main\": [\n []\n ]\n },\n \"Everyday @ 8.30am\": {\n \"main\": [\n [\n {\n \"node\": \"AI Grants since Yesterday\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Grant Details\": {\n \"main\": [\n [\n {\n \"node\": \"Summarize Synopsis\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Eligibility Factors\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Summarize Synopsis\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Eligibility Factors\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarize Synopsis\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Eligibility Factors\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"AI Grants since Yesterday\": {\n \"main\": [\n [\n {\n \"node\": \"Grants to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get New Eligible Grants Today\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Email\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Deduplicate Scraping AI Grants for Eligibility using AI", "node_count": 24, "category": "General Automation"}} {"prompt": "How would you build: Enrich Property Inventory Survey With Image Recognition And Ai Agent?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"192d3e4f-6bb0-4b87-a1fa-e32c9efb49cc\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 336,\n 34\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"32a7a772-76a6-4614-a6ab-d2b152a5811f\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1220,\n 180\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {\n \"temperature\": 0\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8c444314-ed7d-4ca0-b0fa-b6d1e964c698\",\n \"name\": \"Get Applicable Rows\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 516,\n 34\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appbgxPBurOmQK3E7\",\n \"cachedResultUrl\": \"https://airtable.com/appbgxPBurOmQK3E7\",\n \"cachedResultName\": \"Building Inventory Survey Example\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"tblEHkoTvKpa4Aa0Q\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"returnAll\": false,\n \"filterByFormula\": \"AND(Image!=\\\"\\\", AI_status=FALSE())\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f90578fa-b886-4653-8ff7-0c91884dc517\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 1257,\n 733\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"8f5959eb-45bd-4185-a959-10268827e41d\",\n \"name\": \"Edit Fields\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1417,\n 733\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7263764b-8409-4cea-8db3-3278dd7ef9d8\",\n \"name\": \"=route\",\n \"type\": \"string\",\n \"value\": \"={{ $json.route }}\"\n },\n {\n \"id\": \"55c3b207-2e98-4137-8413-f72cbff17986\",\n \"name\": \"query\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query }}\"\n },\n {\n \"id\": \"6eb873de-3c3a-4135-9dc0-1d441c63647c\",\n \"name\": \"\",\n \"type\": \"string\",\n \"value\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"2c7f7274-12e9-4dd3-8ee4-679b408d5430\",\n \"name\": \"Fallback Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1580,\n 875\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"{\\n \\\"response\\\": {\\n \\\"ok\\\": false,\\n \\\"error\\\": \\\"The requested tool was not found or the service may be unavailable. Do not retry.\\\"\\n }\\n}\\n\"\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"09f36f4d-eb88-4d93-a8b3-e9ba66b46b54\",\n \"name\": \"SERP Google Reverse Image API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1860,\n 549\n ],\n \"parameters\": {\n \"url\": \"https://serpapi.com/search.json\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"engine\",\n \"value\": \"google_reverse_image\"\n },\n {\n \"name\": \"image_url\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"serpApi\"\n },\n \"credentials\": {\n \"serpApi\": {\n \"id\": \"aJCKjxx6U3K7ydDe\",\n \"name\": \"SerpAPI account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8e3a0f38-8663-4f5c-837f-4b9aa21f14fb\",\n \"name\": \"Reverse Image Search Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2037,\n 547\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"de99a504-713f-4c78-8679-08139b2def31\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ JSON.stringify($json.image_results.map(x => ({ position: x.position, title: x.title, link: x.link, description: x.snippet }))) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"0cd2269a-5b1f-4f10-b180-7f9cff9b1102\",\n \"name\": \"Reverse Image Search Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1300,\n 340\n ],\n \"parameters\": {\n \"name\": \"reverse_image_search\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"serp.google_reverse_image\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to perform a reverse image search. Reverse image searches return urls where similar looking products exists. Fetch the returned urls to gather more information. This tool requires the following object request body.\\n```\\n{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"image_url\\\": { \\\"type\\\": \\\"string\\\" },\\n }\\n}\\n```\\nimage_url should be an absolute URL to the image.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"9825651e-b382-4e0a-97ef-37764cb5be9e\",\n \"name\": \"Firecrawl Scrape API\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1860,\n 889\n ],\n \"parameters\": {\n \"url\": \"https://api.firecrawl.dev/v0/scrape\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"={{ $json.query }}\"\n }\n ]\n },\n \"genericAuthType\": \"httpHeaderAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"OUOnyTkL9vHZNorB\",\n \"name\": \"Firecrawl API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"7f61d60b-b052-4b7c-abfd-9eb8e05a45a2\",\n \"name\": \"Scrape Success?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2020,\n 889\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"a15a164f-d0c5-478f-8b27-f3d51746c214\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.success }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"29c65ef4-6350-490a-b8e3-a5c869e656b2\",\n \"name\": \"Firecrawl Scrape Success Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 889\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7db5c81f-de90-40e1-8086-3f13d40451c7\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data.markdown.substring(0, 3000) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"229b4008-d8a8-4609-854a-fc244a4ed630\",\n \"name\": \"Firecrawl scrape Error Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 1049\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"e691d86a-d366-44a2-baa6-3dba42527f6e\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"{ error: \\\"Unable to scrape website due to unknown error. Do not retry.\\\" }\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"f080069b-e849-45e0-88cf-03707d22c704\",\n \"name\": \"Firecrawl Web Scaper Tool\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1440,\n 340\n ],\n \"parameters\": {\n \"name\": \"webpage_url_scraper_tool\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"route\",\n \"stringValue\": \"firecrawl.scrape\"\n }\n ]\n },\n \"workflowId\": \"={{ $workflow.id }}\",\n \"description\": \"Call this tool to retrieve page contents of a url.\\n```\\n{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"url\\\": { \\\"type\\\": \\\"string\\\" },\\n }\\n}\\n```\\nurl should be an absolute URL.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"4eff88bb-bd5e-4d6a-b5e1-8521632c461f\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1500,\n 180\n ],\n \"parameters\": {\n \"jsonSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"title\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"description\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"model\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"material\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"color\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"condition\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"328d106b-a473-4f54-82fd-55c30d813da9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 280,\n -260\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 402.5984702109446,\n \"height\": 495.4071184783251,\n \"content\": \"## 1. Use Airtable to Capture Survey Photos\\n[Read more about AirTable](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable)\\n\\nTo enable this workflow, we need a database where we can retreive the title and photo to analyse and write the generate values back to. Airtable is perfect for this since it has a robust API we can work with.\\n\\nFor this demo, we'll manually trigger but this can be changed for forms or other triggers.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e358775d-ff83-411d-9364-b43c87d98134\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 716.3106363781314,\n -160\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 359.40869874940336,\n \"height\": 428.4787925736586,\n \"content\": \"## 2. Use AI Vision Model to Analyse the Photo.\\n[Read more about OpenAI Vision](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai)\\n\\nWe'll use OpenAi vision model to create a detailed description of the product in the photo. We split this step from the agent because it uses an image model rather than the usual text-based one.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"51b4a70c-9583-4e8a-8e8d-896a80ad53c3\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1111.3914848823072,\n -293.9250474768817\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 593.0683948010671,\n \"height\": 803.956942672397,\n \"content\": \"## 3. Build an AI Agent who Searches the Internet\\n[Read more about OpenAI Agents](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-langchain.openai)\\n\\nThis AI Agent has the ability to perform reverse image searches using our captured photos as well visit external webpages in order to obtain accurate product names and attributes. The Agent along with the tools might mimic what the average human user would carry out the same task.\\n\\n* For reverse image search, we're using SERP API service however we won't use the built-in SERP node as we need to specify custom parameters. \\n* For scraping, we'll use [Firecrawl](https://www.firecrawl.dev/) as this service also helps to parse and return the page as markdown which is more efficient.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"adfb519b-a5c7-432c-be32-5acfcc388b49\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n -149.28190375244515\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 373.3601237414979,\n \"height\": 397.7168664109706,\n \"content\": \"## 4. Overwrite our Rows with Enriched Results\\n\\nAnd Viola! Our AI agent has potentially saved hours of manual data entry work for our surveyor. This technique can be used for many other usecases.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6444e217-b944-450e-892a-5822d4d390ce\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 549\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 554.6092633638649,\n \"height\": 490.7010880746526,\n \"content\": \"## 5. Using the Custom Workflow Tool\\n[Read more about Workflow Tools](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.toolworkflow)\\n\\nAI Agents rely on Tools to make decisions and become exponentially more powerful the more tools they have. A common pattern to manage multiple tools is to create a routing system for tools using the API pattern.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bf2459cf-a931-4232-9504-b36b15721194\",\n \"name\": \"Enrich Product Rows\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1880,\n 60\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appbgxPBurOmQK3E7\",\n \"cachedResultUrl\": \"https://airtable.com/appbgxPBurOmQK3E7\",\n \"cachedResultName\": \"Building Inventory Survey Example\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"tblEHkoTvKpa4Aa0Q\"\n },\n \"columns\": {\n \"value\": {\n \"id\": \"={{ $('Get Applicable Rows').item.json.id }}\",\n \"Color\": \"={{ $json.output.output.color }}\",\n \"Model\": \"={{ $json.output.output.model }}\",\n \"Title\": \"={{ $json.output.output.title }}\",\n \"Material\": \"={{ $json.output.output.material }}\",\n \"AI_status\": true,\n \"Condition\": \"={{ $json.output.output.condition }}\",\n \"Description\": \"={{ $json.output.output.description }}\"\n },\n \"schema\": [\n {\n \"id\": \"id\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"id\",\n \"defaultMatch\": true\n },\n {\n \"id\": \"Title\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Title\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Image\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Image\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Description\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Description\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Model\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Model\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Material\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Material\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Color\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Color\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Condition\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Condition\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"AI_status\",\n \"type\": \"boolean\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"AI_status\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"id\"\n ]\n },\n \"options\": {},\n \"operation\": \"update\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"19d736bf-c29d-46a2-93bc-b536ff28c4b5\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n -260\n ],\n \"parameters\": {\n \"width\": 359.6648027457353,\n \"height\": 381.0536322713287,\n \"content\": \"## Try It Out!\\n### This workflow does the following:\\n* Scans an Airtable spreadsheet for rows with product photo images.\\n* Uses an AI vision model to attempt to identify the product.\\n* Uses an AI Agent to research the product on the internet to enrich the product data.\\n* Overwrites our Airtable spreadsheet with the enriched data.\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"25f15c48-16bf-4f92-942d-c224ed88d208\",\n \"name\": \"Analyse Image\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 840,\n 80\n ],\n \"parameters\": {\n \"text\": \"=Focus on the {{ $json.Title }} in the image - we'll refer to this as the \\\"object\\\". Identify the following attributes of the object. If you cannot determine confidently, then leave blank and move to next attribute.\\n* Decription of the object.\\n* The model/make of the object.\\n* The material(s) used in the construction of the object.\\n* The color(s) of the object\\n* The condition of the object. Use one of poor, good, excellent.\\n\",\n \"options\": {},\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $json.Image[0].thumbnails.large.url }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"e6c99f71-ccc9-426e-b916-cc38864e3224\",\n \"name\": \"Object Identifier Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1260,\n 20\n ],\n \"parameters\": {\n \"text\": \"=system: Your role is to help an building surveyor perform a object classification and data collection task whereby the surveyor will take photos of various objects and your job is to try and identify accurately certain product attributes of the objects as detailed below.\\n\\nThe surveyor has given you the following:\\n1) photo url ```{{ $('Get Applicable Rows').item.json.Image[0].thumbnails.large.url }}```.\\n2) photo description ```{{ $json.content }}```.\\n\\nFor each product attribute the surveyor is unable to determine, you may:\\n1) use the reverse image search tool to search the product on the internet via the provided image url.\\n2) use the web scraper tool to read webpages on the internet which may be relevant to the product.\\n3) If after using these tools, you are still unable to determine the required product attributes then leave the data blank.\\n\\nUse all the information provided and gathered, to extract the following product attributes: title, description, model, material, color and condition.\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {},\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"661b14bd-6511-4f20-981c-2e68a7c34ec5\",\n \"name\": \"Actions Router\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1577,\n 733\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"serp.google_reverse_image\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"serp.google_reverse_image\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"firecrawl.scrape\",\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0a1f54ae-39f1-468d-ba6e-1376d13e4ee8\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.route }}\",\n \"rightValue\": \"firecrawl.scrape\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {\n \"fallbackOutput\": \"extra\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"c5078221-9239-4ec0-b25e-7cd880b58216\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 480,\n 20\n ],\n \"parameters\": {\n \"width\": 181.2788838920522,\n \"height\": 297.0159375852115,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n🚨**Required**\\n* Set Airtable Base and Table IDs here.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c58c0db4-9b99-4a77-90ae-66fa3981b684\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1840,\n 40\n ],\n \"parameters\": {\n \"width\": 181.2788838920522,\n \"height\": 297.0159375852115,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n🚨**Required**\\n* Set Airtable Base and Table IDs here.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e3a666d7-d7a5-43f5-8f04-7972332f8916\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1780,\n 440\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 460.3301604548244,\n \"height\": 298.81538450684064,\n \"content\": \"## 5.1 Google Reverse Image Tool\\nThis tool uses Google's reverse image API to return websites where similar images are found.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d7407cdb-16bb-4bd9-a28e-7a72a5289354\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1780,\n 769.9385328672522\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 575.3216480295998,\n \"height\": 463.34699288922565,\n \"content\": \"## 5.2 Webscraper Tool\\nThis tool uses Firecrawl.dev API to crawl webpages and returns those pages in markdown format.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Edit Fields\": {\n \"main\": [\n [\n {\n \"node\": \"Actions Router\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyse Image\": {\n \"main\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Actions Router\": {\n \"main\": [\n [\n {\n \"node\": \"SERP Google Reverse Image API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Firecrawl Scrape API\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Fallback Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Scrape Success?\": {\n \"main\": [\n [\n {\n \"node\": \"Firecrawl Scrape Success Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Firecrawl scrape Error Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Applicable Rows\": {\n \"main\": [\n [\n {\n \"node\": \"Analyse Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Firecrawl Scrape API\": {\n \"main\": [\n [\n {\n \"node\": \"Scrape Success?\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Object Identifier Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Enrich Product Rows\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Firecrawl Web Scaper Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Reverse Image Search Tool\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Object Identifier Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SERP Google Reverse Image API\": {\n \"main\": [\n [\n {\n \"node\": \"Reverse Image Search Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Get Applicable Rows\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Enrich Property Inventory Survey with Image Recognition and AI Agent", "node_count": 29, "category": "General Automation"}} {"prompt": "How would you build: Extract Insights & Analyse Youtube Comments Via Ai Agent Chat?", "response": "# Workflow Architecture\n\n**Purpose**: Database\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.toolWorkflow, @n8n/n8n-nodes-langchain.memoryPostgresChat, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n4. **Actions**: @n8n/n8n-nodes-langchain.memoryPostgresChat\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"6a2a7715680b8313f7cb4676321c5baa46680adfb913072f089f2766f42e43bd\"\n },\n \"nodes\": [\n {\n \"id\": \"f4b3833b-cf25-4bbc-927c-080586c5713c\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n 760\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 330.5152611046425,\n \"height\": 239.5888196628349,\n \"content\": \"### ... or watch set up video [13 min]\\n[](https://youtu.be/6RmLZS8Yl4E)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"64d96c53-b3e2-4aea-9a29-9b9e5c729f4f\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 400,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 636.2128494576581,\n \"height\": 497.1532689930921,\n \"content\": \"\\n## AI Agent To Chat With Youtube\\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\\n\\nNavigating the content generation and optimization process can be complex, especially without significant audience insight. This workflow automates insights extraction from YouTube videos and comments, empowering users to create more engaging and relevant content effectively.\\n\\nThe workflow integrates various APIs to gather insights from YouTube videos, enabling automated commentary analysis, video transcription, and thumbnail evaluation. The main functionalities include:\\n- Extracting user preferences from comments.\\n- Transcribing video content for enhanced understanding.\\n- Analyzing thumbnails via AI for maximum viewer engagement insights.\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"57d2ede9-1bf9-4449-9dc9-af1ccee763b6\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 400,\n 760\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 280.2462120317618,\n \"height\": 545.9087885077763,\n \"content\": \"### Set up steps\\n\\n1. **API Setup**:\\n - Create a [Google Cloud](https://console.cloud.google.com/apis/dashboard) project and enable the YouTube Data API.\\n - Generate an API key for [Apify](https://www.apify.com?fpr=ujogj).\\n - Generate API key for [OpenAI](https://platform.openai.com)\\n - Create all credentials in N8N - OpenAI, Apify, Google Cloud.\\n\\n2. **YouTube Creator and Video Selection**:\\n - Start by defining a request to identify top creators based on their video views.\\n - Capture the YouTube video IDs for further analysis of comments and other video metrics.\\n\\n3. **Comment Analysis**:\\n - Gather comments associated with the selected videos and analyze them for user insights.\\n - Implement pagination to handle the maximum comment retrieval limits in API requests.\\n\\n4. **Video Transcription**:\\n - Request transcriptions for videos of interest, ensuring to manage potential costs associated with longer video processing.\\n - Utilize the insights from transcriptions to formulate content plans.\\n\\n5. **Thumbnail Analysis**:\\n - Evaluate your video thumbnails by submitting the URL through the OpenAI API to gain insights into their effectiveness.\\n\\n6. **Data Management**:\\n - Incorporate a database agent to organize video data and metrics, allowing efficient record management and future content planning.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca0fd549-88a7-44fd-ab81-7fd5ca140dae\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1540,\n 820\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7f2cf209-2e9d-4d6a-bc9e-d1bfd6df7266\",\n \"name\": \"get_channel_details\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1900,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_channel_details\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"=get_channel_details\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Get channel_id, title and description by handle/username.\\nChannel_id is required to find videos and details about this channel.\\nIf Youtube link to channel provided - parse handle from there or return channel_id. (e.g. https://www.youtube.com/@example_handle - example_handle)\\n\\n\\nExample Input:\\nexample_handle\\n\\nExample Output:\\nid:UCOgz_YflAsYnGbdvzXuKNCA\\ntitle:Daniel Simmons\\ndescription:Digital Diary 🤎\\\\n\\\\n\\\\nWeekly videos around fashion...\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"handle\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Handle/username of channel\\\"\\n }},\\n \\\"required\\\": [\\\"handle\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c02f5c19-6e50-4a06-95b9-eceb3eec1012\",\n \"name\": \"get_video_description\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2020,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_video_description\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"video_details\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Fetch video details - the full description, title, and publish date of a video using its video_id.\\n\\nExample input:\\nvideo_id:dQw4w9WgXcQ\\n\\nExample Output:\\ntitle:Never Gonna Give You Up\\ndescription: \\\"The official video for “Never Gonna Give You Up” by Rick Astley.\\nduration:4 min\\nviewCount:154\\nlikeCount:6\\nthumbnails: urls\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"video_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The ID of the video to fetch details for\\\"\\n }\\n },\\n \\\"required\\\": [\\\"video_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"2d61160b-3a65-4766-ace6-947a7c5de6e5\",\n \"name\": \"get_list_of_videos\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2140,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_list_of_videos\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"videos\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Retrieve a list of videos from a channel using channel_id. Supports sorting by date, relevance, or view count.\\n\\nExample Input:\\nchannel_id\\\": \\\"UCxxxxxxxxxxxxxxxx\\\"\\nnumber_of_videos\\\": 5\\norder: \\\"date\\\"\\npublishedAfter: \\\"timestamp\\\"\\n\\nExample Output:\\nvideo_id:abc123\\ntitle:Latest Video\\nshort cut description:Latest Video\\npublished_at:2023-12-05T10:00:00Z\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"channel_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The ID of the channel to fetch videos from\\\"\\n },\\n \\\"number_of_videos\\\": {\\n \\\"type\\\": \\\"integer\\\",\\n \\\"description\\\": \\\"The maximum number of videos to retrieve (max 50)\\\"\\n },\\n \\\"order\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"enum\\\": [\\\"date\\\", \\\"relevance\\\", \\\"viewCount\\\"],\\n \\\"description\\\": \\\"Order in which to fetch videos\\\"\\n },\\n \\\"publishedAfter\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Timestamp for filtering like 2023-11-03T15:28:05Z.\\\"\\n }\\n },\\n \\\"required\\\": [\\\"channel_id\\\", \\\"number_of_videos\\\", \\\"order\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c5aa2f7c-7748-4f88-abb6-fd274ad1295a\",\n \"name\": \"get_list_of_comments\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2260,\n 820\n ],\n \"parameters\": {\n \"name\": \"get_list_of_comments\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"comments\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Retrieve a list of comments from a video using video_id.\\n\\nInput:\\n \\\"video_id\\\": \\\"dQw4w9WgXcQ\\\"\\n\\nOutput:\\n \\\"author\\\": \\\"John Doe\\\",\\n \\\"comment\\\": \\\"This is an amazing video!\\\",\\n \\\"published_at\\\": \\\"2023-12-04T12:00:00Z\\\"\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"video_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The ID of the video to fetch comments from\\\"\\n }\\n },\\n \\\"required\\\": [\\\"video_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c68cad77-1d71-45a3-b94b-8f7c701f56fb\",\n \"name\": \"search\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2380,\n 820\n ],\n \"parameters\": {\n \"name\": \"search\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"search\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Search for videos or channels using a query. Supports filtering by type (video or channel) and sorting (date, viewCount, relevance). Use | for OR and - to exclude terms in the query.\\n\\nInput:\\ntype: video or channel\\nquery: search query\\nsorting: date, viewCount, relevance\\npublishedAfter: timestamp\\n\\nOutput:\\n- id, title, short cut description, and published_at.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"type\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"enum\\\": [\\\"video\\\", \\\"channel\\\"],\\n \\\"description\\\": \\\"Type of results to retrieve: video or channel\\\"\\n },\\n \\\"query\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Search query. Supports | for OR and - to exclude terms\\\"\\n },\\n \\\"sorting\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"enum\\\": [\\\"date\\\", \\\"viewCount\\\", \\\"relevance\\\"],\\n \\\"description\\\": \\\"Sorting criteria for search results\\\"\\n },\\n \\\"publishedAfter\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Timestamp for filtering like 2023-11-03T15:28:05Z\\\"\\n }\\n },\\n \\\"required\\\": [\\\"type\\\", \\\"query\\\", \\\"sorting\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c87d5392-8a5c-4999-9e58-89a5e0700c40\",\n \"name\": \"analyze_thumbnail\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2500,\n 820\n ],\n \"parameters\": {\n \"name\": \"analyze_thumbnail\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"analyze_thumbnail\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Analyze a thumbnail image based on a given prompt. The prompt can be customized for specific analysis needs, such as design critique, color scheme evaluation, or content assessment.\\nUse link of maxRes thumbnail. \\n\\nInput:\\n- url: URL of the thumbnail image.\\n- prompt: Customizable instruction for the analysis.\\n\\nOutput:\\n- Results of the analysis based on the given prompt.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"url\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"URL of the thumbnail image to analyze\\\"\\n },\\n \\\"prompt\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Customizable instruction to guide the image analysis\\\"\\n }\\n },\\n \\\"required\\\": [\\\"url\\\", \\\"prompt\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"1be2fa35-9091-4db8-a8eb-50f822d618d3\",\n \"name\": \"video_transcription\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 2620,\n 820\n ],\n \"parameters\": {\n \"name\": \"video_transcription\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"video_transcription\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"FgknOUpOBkpY85NX\",\n \"cachedResultName\": \"Youtube parser - tools\"\n },\n \"description\": \"Transcribe a video and retrieve its text transcription. Useful for analyzing video content or repurposing it for other formats.\\n\\nInput:\\n- video_url: URL of the video to transcribe.\\n\\nOutput:\\n- The text transcription of the video.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"video_url\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"URL of the video to transcribe\\\"\\n }\\n },\\n \\\"required\\\": [\\\"video_url\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"fbfcd82f-e247-4a21-be12-339df7afe681\",\n \"name\": \"Postgres Chat Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryPostgresChat\",\n \"position\": [\n 1700,\n 820\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('When chat message received').item.json.sessionId }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"AO9cER6p8uX7V07T\",\n \"name\": \"Postgres 5minai\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"6a4bbad9-27ab-448b-9222-2c8843fe241a\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1760,\n 560\n ],\n \"parameters\": {\n \"text\": \"={{ $('When chat message received').item.json.chatInput }}\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"systemMessage\": \"You are Youtube assistant. \\nYou need to process user's requests and run relevant tools for that. \\n\\nPlan and execute in right order runs of tools to get data for user's request.\\n\\nIMPORTANT Search query and list of videos for channel tools returns all videos including shorts - use Get Video description tool to identify shorts (less than minute) and filter them out if needed.\\n\\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. \"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"739cc12a-27d1-48e9-b124-7f83fb372514\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 1460,\n 600\n ],\n \"webhookId\": \"6e95bc27-99a6-417c-8bf7-2831d7f7a4be\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"613af9f2-77fa-42c4-86d3-87e20f2c0c89\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1380,\n 500\n ],\n \"parameters\": {\n \"width\": 1430.34590072234,\n \"height\": 588.1344471094899,\n \"content\": \"## Scenario 1: AI agent\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"54116346-bc73-4a6a-8bca-f2a6e6699374\",\n \"name\": \"Get Comments\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1598\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/commentThreads\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"id,snippet,replies\"\n },\n {\n \"name\": \"videoId\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.video_id }}\"\n },\n {\n \"name\": \"maxResults\",\n \"value\": \"100\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"faabf71a-69f2-4113-802e-124a09fa9a0a\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 1444,\n 1598\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"4b3ec3aa-7c69-4a72-a989-02f97acdf612\",\n \"name\": \"Get Channel Details\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1278\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/channels\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n },\n {\n \"name\": \"forHandle\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.handle }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ed8dec73-8c50-4eb9-8efe-68ee72c4d5e6\",\n \"name\": \"Get Video Description\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1438\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/videos\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet,contentDetails,statistics\"\n },\n {\n \"name\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.video_id }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c1ff3837-8d7e-49ad-a333-c177833fcd05\",\n \"name\": \"Edit Fields\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2224,\n 1598\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"469d89ba-23fc-482a-b4ae-ce5d3bc13579\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ JSON.stringify(` Comments: ${$json.items.map(item => { const topLevelComment = `${item.snippet.topLevelComment.snippet.authorDisplayName}: ${item.snippet.topLevelComment.snippet.textOriginal}`; const replies = item.replies?.comments.map(reply => `${reply.snippet.authorDisplayName}: ${reply.snippet.textOriginal}` ).join('\\\\n') || ''; return [topLevelComment, replies].filter(Boolean).join('\\\\n'); }).join('\\\\n\\\\n')} `) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"5f0c44fe-2523-4170-a27d-0ccd1bef24a7\",\n \"name\": \"Run Query\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1758\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n },\n {\n \"name\": \"q\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.query }}\"\n },\n {\n \"name\": \"order\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.order }}\"\n },\n {\n \"name\": \"type\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.type }}\"\n },\n {\n \"name\": \"maxResults\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}\"\n },\n {\n \"name\": \"publishedAfter\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3e192718-6710-4143-ac6e-15df79ee5363\",\n \"name\": \"Get Videos by Channel\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 1918\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n },\n {\n \"name\": \"channelId\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.channel_id }}\"\n },\n {\n \"name\": \"order\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.order }}\"\n },\n {\n \"name\": \"maxResults\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.number_of_videos }}\"\n },\n {\n \"name\": \"type\",\n \"value\": \"video\"\n },\n {\n \"name\": \"publishedAfter\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.publishedAfter }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8bcb50a4-0cd1-4311-ac6a-2ee8653cfb71\",\n \"name\": \"Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2564,\n 1598\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"cfdbe2f5-921e-496d-87bd-9c57fdc22a7a\",\n \"name\": \"response\",\n \"type\": \"object\",\n \"value\": \"={{$json}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"7f5a36d3-6710-4e69-8459-7c8c748ee7d9\",\n \"name\": \"Switch\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1624,\n 1578\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"get_channel_details\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"get_channel_details\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"video_details\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"26a3ffe8-c8a6-4564-8d18-5494a8059372\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"video_details\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"comments\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0f51cc26-2e42-42e1-a5c2-cb1d2e384962\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"comments\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"search\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"51031140-5ceb-48aa-9f33-d314131a9653\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"search\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"videos\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"f160bf0a-423f-448d-ab80-50a0b6a177ca\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"videos\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"analyze_thumbnail\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"29542ac4-7b9d-413f-aabb-a1cdabed2fa7\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"analyze_thumbnail\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"video_transcription\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"35fc39b8-6cf1-4ea6-9609-4a195c5526f8\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"video_transcription\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3.2\n },\n {\n \"id\": \"df432d53-33bf-4e91-9ead-7f4b36bd788a\",\n \"name\": \"Get Video Transcription\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2064,\n 2238\n ],\n \"parameters\": {\n \"url\": \"=https://api.apify.com/v2/acts/dB9f4B02ocpTICIEY/run-sync-get-dataset-items\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"startUrls\\\": [\\n \\\"{{ $('Execute Workflow Trigger').item.json.query.video_url }}\\\"\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XDavOaI9qH5Zi3QC\",\n \"name\": \"Apify\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8079e5c9-4a52-45ce-ac41-7fc707177a5a\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 2064,\n 2078\n ],\n \"parameters\": {\n \"text\": \"={{ $('Execute Workflow Trigger').item.json.query.prompt }}\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {},\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $('Execute Workflow Trigger').item.json.query.url }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"SphXAX7rlwRLkiox\",\n \"name\": \"Test club key\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"7847e82a-fe82-498c-8c14-4c1c718d632c\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1380,\n 1140\n ],\n \"parameters\": {\n \"width\": 1427.3810326521016,\n \"height\": 1313.2689194736308,\n \"content\": \"## Scenario 2: Agent tools\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a0fbbb0-4c0e-41f1-abb3-c87e955ad1b3\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1540,\n 960\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 266.7375650720483,\n \"height\": 80,\n \"content\": \"### Replace credentials\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"363eaca0-aaa5-4551-845f-528f19bba57a\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2004,\n 1178\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 266.7375650720483,\n \"height\": 80,\n \"content\": \"### Replace credentials in all nodes - Apify, OpenAI, Google\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"query\": {\n \"type\": \"video\",\n \"query\": \"Web scraping data with n8n and Puppeteer\",\n \"sorting\": \"relevance\"\n },\n \"command\": \"search\"\n }\n ]\n },\n \"connections\": {\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Switch\": {\n \"main\": [\n [\n {\n \"node\": \"Get Channel Details\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Video Description\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Comments\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Run Query\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Videos by Channel\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Video Transcription\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"search\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Run Query\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Edit Fields\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Comments\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"analyze_thumbnail\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_list_of_videos\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Channel Details\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_channel_details\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"video_transcription\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Postgres Chat Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_list_of_comments\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Video Description\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Videos by Channel\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"get_video_description\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Video Transcription\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Switch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Extract insights & analyse YouTube comments via AI Agent chat", "node_count": 29, "category": "Database"}} {"prompt": "Show me an n8n workflow for generate seo seed keywords using ai", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM\n\n**Key Components**:\n- Total Nodes: 15\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, n8n-nodes-base.noOp\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"257476b1ef58bf3cb6a46e65fac7ee34a53a5e1a8492d5c6e4da5f87c9b82833\",\n \"templateId\": \"2473\"\n },\n \"nodes\": [\n {\n \"id\": \"1205b121-8aaa-4e41-874b-4e81aad6374e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n 600\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 462.4041757955455,\n \"height\": 315.6388466176832,\n \"content\": \"## Generate SEO Seed Keywords Using AI\\n\\nThis flow uses an AI node to generate Seed Keywords to focus SEO efforts on based on your ideal customer profile\\n\\n**Outputs:** \\n- List of 20 Seed Keywords\\n\\n\\n**Pre-requisites / Dependencies:**\\n- You know your ideal customer profile (ICP)\\n- An AI API account (either OpenAI or Anthropic recommended)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d2654d75-2b64-4ec3-b583-57d2b6b7b195\",\n \"name\": \"Sticky Note13\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n 640,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 287.0816455493243,\n \"height\": 330.47923074942287,\n \"content\": \"**Generate draft seed KW based on ICP**\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d248a58e-3705-4b6f-99cb-e9187e56781c\",\n \"name\": \"Anthropic Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"position\": [\n 680,\n 1120\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"71517d83-59f5-441a-8a75-c35f4e06a8a2\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 980,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output.answer\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1c68eff5-6478-4eba-9abe-3ccea2a17a5c\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n 120,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 492.16246201447336,\n \"height\": 213.62075341687063,\n \"content\": \"**Get data from airtable and format** \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"53dcc524-ef3d-40b8-b79d-976517dce4e7\",\n \"name\": \"Sticky Note17\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n 960,\n 920\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 348.42891651921957,\n \"height\": 213.62075341687063,\n \"content\": \"**Add data to database**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"570495fe-3f1d-44ae-bea0-9fa4b2ce15ef\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n 820\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 393.46745700785266,\n \"height\": 80,\n \"content\": \"**Costs to run**\\nApprox. $0.02-0.05 for a run using Claude Sonnet 3.5\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6e5e84c5-409f-4f37-931a-21a44aff7c5e\",\n \"name\": \"Set Ideal Customer Profile (ICP)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 160,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"973e949e-1afd-4378-8482-d2168532eff6\",\n \"name\": \"product\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string detailing your intended product (if you have one)**\"\n },\n {\n \"id\": \"ce9c0a8f-6157-4b46-8b77-133545dc71bd\",\n \"name\": \"pain points\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string list of customer pain points**\"\n },\n {\n \"id\": \"5abc858a-c412-4acf-acb9-488e4d992d2f\",\n \"name\": \"goals\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string list of your customers key goals/objectives**\"\n },\n {\n \"id\": \"fbdd1ef7-c1b9-48eb-b73e-a383f12b5ba1\",\n \"name\": \"current solutions\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string detailing how your ideal customer currently solves their pain ppoints**\"\n },\n {\n \"id\": \"2e5c8f48-266e-486c-956f-51f1449f6288\",\n \"name\": \"expertise level\",\n \"type\": \"string\",\n \"value\": \"=**Replace this with a string detailing customer level of expertise**\"\n }\n ]\n }\n },\n \"notesInFlow\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"bd5781f4-6f35-45d3-8182-12ea6712eddf\",\n \"name\": \"Aggregate for AI node\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 380,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"notesInFlow\": true,\n \"typeVersion\": 1\n },\n {\n \"id\": \"244943bf-e4dd-40fc-9a43-7a5cd0da1c5b\",\n \"name\": \"Sticky Note14\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n 1260\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 284.87764467541297,\n \"height\": 80,\n \"content\": \"**REQUIRED**\\nConnect to your own AI API above\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"73c8f47a-4fdb-40c8-9062-890ef1265ab0\",\n \"name\": \"Sticky Note16\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n 1140\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 284.87764467541297,\n \"height\": 80,\n \"content\": \"**REQUIRED**\\nSet your Ideal Customer Profile before proceeding\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a5b93e6d-44ab-4b6f-b86a-25dc621b52b0\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 660,\n 980\n ],\n \"parameters\": {\n \"text\": \"=User:\\nHere are some important rules for you to follow:\\n\\n \\n \\n\\n \\n \\n \\n \\n \\n\\n\\n \\n\\n\\n \\n \\n\\n\\n\\n \\n \\n\\n\\n\\n\\n\\n \\n\\n\\n\\n \\n\\n\\n \\n
\\n\\n\\n \\n \\n\\n \\n \\n \\nLatest AI Grants
\\n \\n\\n\\n\\n \\n\\n\\n \\n \\n\\n\\n\\n \\n \\n\\n\\n\\n\\n\\n \\n\\n\\n\\n \\n\\n\\n \\n
\\n\\n\\n \\n \\n\\n{{\\n$input.all().map((input,idx) => {\\nreturn `\\n \\n\\n\\n\\n`\\n}).join('\\n ${idx+1}. ${input.json.Title}\\n
\\n\\n ${input.json.Agency}\\n ·\\n See details\\n\\n\\n Synopsis: ${input.json.Goal}\\n
\\n- \\n ${input.json['Success Criteria']\\n .split('\\\\n')\\n .map(text => `
- ${text} `)\\n .join('')\\n }\\n
\\n Posted By ${input.json['Posted Date']\\n .toDateTime()\\n .format('EEE, dd MMM yyyy t')}\\n\\n
\\n Respond By ${input.json['Response Date']\\n .toDateTime()\\n .format('EEE, dd MMM yyyy t')}\\n \\n
')\\n}} \\n\\n\\n \\n\\n\\n \\n\\n\\n\\n \\n \\n\\n\\n\\n\\n\\n \\n\\n\\n\\n \\n\\n\\n \\n
\\n\\n\\n \\n \\n\\n \\n \\n\\n\\n\\nAutogenerated by n8n.
\\nBrought to you by workflow #{{ $workflow.id }}
\\n\\n1. Analyze the ICP information carefully.\\n2. Generate 15-20 seed keywords that are relevant to the ICP's needs, challenges, goals, and search behavior.\\n3. Ensure the keywords are broad enough to be considered \\\"\\\"head\\\"\\\" terms, but specific enough to target the ICP effectively.\\n4. Consider various aspects of the ICP's journey, including awareness, consideration, and decision stages.\\n5. Include a mix of product-related, problem-related, and solution-related terms.\\n6. Think beyond just the product itself - consider industry trends, related technologies, and broader business concepts that would interest the ICP.\\n7. Avoid overly generic terms that might attract irrelevant traffic.\\n8. Aim for a mix of keyword difficulties, including both competitive and less competitive terms.\\n9. Include keywords that cover different search intents: informational, navigational, commercial, and transactional.\\n10. Consider related tools or platforms that the ICP might use, and include relevant integration-related keywords.\\n11. If applicable, include some location-specific keywords based on the ICP's geographic information.\\n12. Incorporate industry-specific terminology or jargon that the ICP would likely use in their searches.\\n13. Consider emerging trends or pain points in the ICP's industry that they might be searching for solutions to.\\n13. Format the keywords in lowercase, without punctuation. Trim any leading or trailing white space.\\n \\n\\nYour output should be an array of strings, each representing a seed keyword:\\n\\n['b2b lead generation', 'startup marketing strategies', 'saas sales funnel', ...]\\n \\n\\nHere is the Ideal Customer Profile (ICP) information:\\n\\n{{ $json.data[0].product }}\\n\\n\\nNow:\\nBased on the provided ICP, generate an array of 15-20 seed keywords that will form the foundation of a comprehensive SEO strategy for this B2B SaaS company. These keywords should reflect a deep understanding of the ICP's needs, challenges, and search behavior, while also considering broader industry trends and related concepts.\\n\\nFirst, write out your ideas in {thoughts: } JSON as part of your analysis, then answer inside the {answer: } key in the JSON. \",\n \"agent\": \"conversationalAgent\",\n \"options\": {\n \"systemMessage\": \"=System: You are an expert SEO strategist tasked with generating 15-20 key head search terms (seed keywords) for a B2B SaaS company. Your goal is to create a comprehensive list of keywords that will attract and engage the ideal customer profile (ICP) described.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"ca3c0bd5-7ef0-4e2b-9b5e-071773c32c85\",\n \"name\": \"Connect to your own database\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 1140,\n 980\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"94639a81-5e46-482a-851a-5443bfe9863c\",\n \"name\": \"Sticky Note15\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1120,\n 1140\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 284.87764467541297,\n \"height\": 80,\n \"content\": \"**REQUIRED**\\nConnect to your own database / GSheet / Airtable base to output these\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"16498e92-c0d5-44f4-b993-c9c8930955bc\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -60,\n 980\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"AI Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Connect to your own database\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Anthropic Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate for AI node\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Ideal Customer Profile (ICP)\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate for AI node\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Ideal Customer Profile (ICP)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Generate SEO Seed Keywords Using AI", "node_count": 15, "category": "AI & LLM"}} {"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to hn who is hiring scrape", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 20\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest, n8n-nodes-base.code\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"0JsHmmyeHw5Ffz5m\",\n \"meta\": {\n \"instanceId\": \"d4d7965840e96e50a3e02959a8487c692901dfa8d5cc294134442c67ce1622d3\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"HN Who is Hiring Scrape\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"f7cdb3ee-9bb0-4006-829a-d4ce797191d5\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -20,\n -220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0475e25d-9bf4-450d-abd3-a04608a438a4\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 60,\n -620\n ],\n \"parameters\": {\n \"width\": 460,\n \"height\": 340,\n \"content\": \"## Go to https://hn.algolia.com\\n- filter by \\\"Ask HN: Who is hiring?\\\" (important with quotes for full match)\\n- sort by date\\n- Chrome Network Tab > find API call > click \\\"Copy as cURL\\\"\\n- n8n HTTP node -> import cURL and paste \\n- I've set the API key as Header Auth so you will have to do the above yourself to make this work\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a686852b-ff84-430b-92bb-ce02a6808e19\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 400,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"hits\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cdaaa738-d561-4fa0-b2c7-8ea9e6778eb1\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1260,\n -620\n ],\n \"parameters\": {\n \"width\": 500,\n \"height\": 340,\n \"content\": \"## Go to HN API \\nhttps://github.com/HackerNews/API\\n\\nWe'll need following endpoints: \\n- For example, a story: https://hacker-news.firebaseio.com/v0/item/8863.json?print=pretty\\n- comment: https://hacker-news.firebaseio.com/v0/item/2921983.json?print=pretty\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4f353598-9e32-4be4-9e7b-c89cc05305fd\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2680,\n -20\n ],\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\"\n },\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"Fbb2ueT0XP5xMRme\",\n \"name\": \"OpenAi account 2\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"5bd0d7cc-497a-497c-aa4c-589d9ceeca14\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 2840,\n -20\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"company\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Name of the hiring company\\\"\\n },\\n \\\"title\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Job title/role being advertised\\\"\\n },\\n \\\"location\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Work location including remote/hybrid status\\\"\\n },\\n \\\"type\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"enum\\\": [\\n \\\"FULL_TIME\\\",\\n \\\"PART_TIME\\\",\\n \\\"CONTRACT\\\",\\n \\\"INTERNSHIP\\\",\\n \\\"FREELANCE\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Employment type (Full-time, Contract, etc)\\\"\\n },\\n \\\"work_location\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"enum\\\": [\\n \\\"REMOTE\\\",\\n \\\"HYBRID\\\",\\n \\\"ON_SITE\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Work arrangement type\\\"\\n },\\n \\\"salary\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Compensation details if provided\\\"\\n },\\n \\\"description\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Main job description text including requirements and team info\\\"\\n },\\n \\\"apply_url\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Direct application/job posting URL\\\"\\n },\\n \\\"company_url\\\": {\\n \\\"type\\\": [\\n \\\"string\\\",\\n null\\n ],\\n \\\"description\\\": \\\"Company website or careers page\\\"\\n }\\n }\\n}\\n\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"b84ca004-6f3b-4577-8910-61b8584b161d\",\n \"name\": \"Search for Who is hiring posts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 200,\n -220\n ],\n \"parameters\": {\n \"url\": \"https://uj5wyc0l7x-dsn.algolia.net/1/indexes/Item_dev_sort_date/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"query\\\": \\\"\\\\\\\"Ask HN: Who is hiring\\\\\\\"\\\",\\n \\\"analyticsTags\\\": [\\n \\\"web\\\"\\n ],\\n \\\"page\\\": 0,\\n \\\"hitsPerPage\\\": 30,\\n \\\"minWordSizefor1Typo\\\": 4,\\n \\\"minWordSizefor2Typos\\\": 8,\\n \\\"advancedSyntax\\\": true,\\n \\\"ignorePlurals\\\": false,\\n \\\"clickAnalytics\\\": true,\\n \\\"minProximity\\\": 7,\\n \\\"numericFilters\\\": [],\\n \\\"tagFilters\\\": [\\n [\\n \\\"story\\\"\\n ],\\n []\\n ],\\n \\\"typoTolerance\\\": \\\"min\\\",\\n \\\"queryType\\\": \\\"prefixNone\\\",\\n \\\"restrictSearchableAttributes\\\": [\\n \\\"title\\\",\\n \\\"comment_text\\\",\\n \\\"url\\\",\\n \\\"story_text\\\",\\n \\\"author\\\"\\n ],\\n \\\"getRankingInfo\\\": true\\n}\",\n \"sendBody\": true,\n \"sendQuery\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"x-algolia-agent\",\n \"value\": \"Algolia for JavaScript (4.13.1); Browser (lite)\"\n },\n {\n \"name\": \"x-algolia-application-id\",\n \"value\": \"UJ5WYC0L7X\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Accept\",\n \"value\": \"*/*\"\n },\n {\n \"name\": \"Accept-Language\",\n \"value\": \"en-GB,en-US;q=0.9,en;q=0.8\"\n },\n {\n \"name\": \"Connection\",\n \"value\": \"keep-alive\"\n },\n {\n \"name\": \"DNT\",\n \"value\": \"1\"\n },\n {\n \"name\": \"Origin\",\n \"value\": \"https://hn.algolia.com\"\n },\n {\n \"name\": \"Referer\",\n \"value\": \"https://hn.algolia.com/\"\n },\n {\n \"name\": \"Sec-Fetch-Dest\",\n \"value\": \"empty\"\n },\n {\n \"name\": \"Sec-Fetch-Mode\",\n \"value\": \"cors\"\n },\n {\n \"name\": \"Sec-Fetch-Site\",\n \"value\": \"cross-site\"\n },\n {\n \"name\": \"User-Agent\",\n \"value\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/133.0.0.0 Safari/537.36\"\n },\n {\n \"name\": \"sec-ch-ua\",\n \"value\": \"\\\"Chromium\\\";v=\\\"133\\\", \\\"Not(A:Brand\\\";v=\\\"99\\\"\"\n },\n {\n \"name\": \"sec-ch-ua-mobile\",\n \"value\": \"?0\"\n },\n {\n \"name\": \"sec-ch-ua-platform\",\n \"value\": \"\\\"macOS\\\"\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"oVEXp2ZbYCXypMVz\",\n \"name\": \"Algolia Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"205e66f6-cd6b-4cfd-a6ec-2226c35ddaac\",\n \"name\": \"Get relevant data\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 700,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"73dd2325-faa7-4650-bd78-5fc97cc202de\",\n \"name\": \"title\",\n \"type\": \"string\",\n \"value\": \"={{ $json.title }}\"\n },\n {\n \"id\": \"44918eac-4510-440e-9ac0-bf14d2b2f3af\",\n \"name\": \"createdAt\",\n \"type\": \"string\",\n \"value\": \"={{ $json.created_at }}\"\n },\n {\n \"id\": \"00eb6f09-2c22-411c-949c-886b2d95b6eb\",\n \"name\": \"updatedAt\",\n \"type\": \"string\",\n \"value\": \"={{ $json.updated_at }}\"\n },\n {\n \"id\": \"2b4f9da6-f60e-46e0-ba9d-3242fa955a55\",\n \"name\": \"storyId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.story_id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"16bc5628-8a29-4eac-8be9-b4e9da802e1e\",\n \"name\": \"Get latest post\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 900,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"d7dd7175-2a50-45aa-bd3e-4c248c9193c4\",\n \"operator\": {\n \"type\": \"dateTime\",\n \"operation\": \"after\"\n },\n \"leftValue\": \"={{ $json.createdAt }}\",\n \"rightValue\": \"={{$now.minus({days: 30})}} \"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"92e1ef74-5ae1-4195-840b-115184db464f\",\n \"name\": \"Split out children (jobs)\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 1460,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"kids\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d0836aae-b98a-497f-a6f7-0ad563c262a0\",\n \"name\": \"Trun into structured data\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 2600,\n -220\n ],\n \"parameters\": {\n \"text\": \"={{ $json.cleaned_text }}\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"Extract the JSON data\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"fd818a93-627c-435d-91ba-5d759d5a9004\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2600,\n -620\n ],\n \"parameters\": {\n \"width\": 840,\n \"height\": 340,\n \"content\": \"## Data Structure\\n\\nWe use Openai GPT-4o-mini to transform the raw data in a unified data structure. Feel free to change this.\\n\\n```json\\n{\\n \\\"company\\\": \\\"Name of the hiring company\\\",\\n \\\"title\\\": \\\"Job title/role being advertised\\\",\\n \\\"location\\\": \\\"Work location including remote/hybrid status\\\",\\n \\\"type\\\": \\\"Employment type (Full-time, Contract, etc)\\\",\\n \\\"salary\\\": \\\"Compensation details if provided\\\",\\n \\\"description\\\": \\\"Main job description text including requirements and team info\\\",\\n \\\"apply_url\\\": \\\"Direct application/job posting URL\\\",\\n \\\"company_url\\\": \\\"Company website or careers page\\\"\\n}\\n```\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b70c5578-5b81-467a-8ac2-65374e4e52f3\",\n \"name\": \"Extract text\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1860,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6affa370-56ce-4ad8-8534-8f753fdf07fc\",\n \"name\": \"text\",\n \"type\": \"string\",\n \"value\": \"={{ $json.text }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"acb68d88-9417-42e9-9bcc-7c2fa95c4afd\",\n \"name\": \"Clean text\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2060,\n -220\n ],\n \"parameters\": {\n \"jsCode\": \"// In a Function node in n8n\\nconst inputData = $input.all();\\n\\nfunction cleanAllPosts(data) {\\n return data.map(item => {\\n try {\\n // Check if item exists and has the expected structure\\n if (!item || typeof item !== 'object') {\\n return { cleaned_text: '', error: 'Invalid item structure' };\\n }\\n\\n // Get the text, with multiple fallbacks\\n let text = '';\\n if (typeof item === 'string') {\\n text = item;\\n } else if (item.json && item.json.text) {\\n text = item.json.text;\\n } else if (typeof item.json === 'string') {\\n text = item.json;\\n } else {\\n text = JSON.stringify(item);\\n }\\n\\n // Make sure text is a string\\n text = String(text);\\n \\n // Perform the cleaning operations\\n try {\\n text = text.replace(///g, '/');\\n text = text.replace(/'/g, \\\"'\\\");\\n text = text.replace(/&\\\\w+;/g, ' ');\\n text = text.replace(/<[^>]*>/g, '');\\n text = text.replace(/\\\\|\\\\s*/g, '| ');\\n text = text.replace(/\\\\s+/g, ' ');\\n text = text.replace(/\\\\s*(https?:\\\\/\\\\/[^\\\\s]+)\\\\s*/g, '\\\\n$1\\\\n');\\n text = text.replace(/\\\\n{3,}/g, '\\\\n\\\\n');\\n text = text.trim();\\n } catch (cleaningError) {\\n console.log('Error during text cleaning:', cleaningError);\\n // Return original text if cleaning fails\\n return { cleaned_text: text, warning: 'Partial cleaning applied' };\\n }\\n\\n return { cleaned_text: text };\\n \\n } catch (error) {\\n console.log('Error processing item:', error);\\n return { \\n cleaned_text: '', \\n error: `Processing error: ${error.message}`,\\n original: item\\n };\\n }\\n }).filter(result => result.cleaned_text || result.error); \\n}\\n\\ntry {\\n return cleanAllPosts(inputData);\\n} catch (error) {\\n console.log('Fatal error:', error);\\n return [{ \\n cleaned_text: '', \\n error: `Fatal error: ${error.message}`,\\n input: inputData \\n }];\\n}\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"a0727b55-565d-47c0-9ab5-0f001f4b9941\",\n \"name\": \"Limit for testing (optional)\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 2280,\n -220\n ],\n \"parameters\": {\n \"maxItems\": 5\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"650baf5e-c2ac-443d-8a2b-6df89717186f\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 580,\n -620\n ],\n \"parameters\": {\n \"width\": 540,\n \"height\": 340,\n \"content\": \"## Clean the result \\n\\n```json\\n{\\n\\\"title\\\": \\\"Ask HN: Who is hiring? (February 2025)\\\",\\n\\\"createdAt\\\": \\\"2025-02-03T16:00:43Z\\\",\\n\\\"updatedAt\\\": \\\"2025-02-17T08:35:44Z\\\",\\n\\\"storyId\\\": \\\"42919502\\\"\\n},\\n{\\n\\\"title\\\": \\\"Ask HN: Who is hiring? (January 2025)\\\",\\n\\\"createdAt\\\": \\\"2025-01-02T16:00:09Z\\\",\\n\\\"updatedAt\\\": \\\"2025-02-13T00:03:24Z\\\",\\n\\\"storyId\\\": \\\"42575537\\\"\\n},\\n```\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1ca5c39f-f21d-455a-b63a-702e7e3ba02b\",\n \"name\": \"Write results to airtable\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 3040,\n -220\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appM2JWvA5AstsGdn\",\n \"cachedResultUrl\": \"https://airtable.com/appM2JWvA5AstsGdn\",\n \"cachedResultName\": \"HN Who is hiring?\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblGvcOjqbliwM7AS\",\n \"cachedResultUrl\": \"https://airtable.com/appM2JWvA5AstsGdn/tblGvcOjqbliwM7AS\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"type\": \"={{ $json.output.type }}\",\n \"title\": \"={{ $json.output.title }}\",\n \"salary\": \"={{ $json.output.salary }}\",\n \"company\": \"={{ $json.output.company }}\",\n \"location\": \"={{ $json.output.location }}\",\n \"apply_url\": \"={{ $json.output.apply_url }}\",\n \"company_url\": \"={{ $json.output.company_url }}\",\n \"description\": \"={{ $json.output.description }}\"\n },\n \"schema\": [\n {\n \"id\": \"title\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"title\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"company\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"company\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"location\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"location\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"type\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"type\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"salary\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"salary\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"description\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"description\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"apply_url\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"apply_url\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"company_url\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"company_url\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"posted_date\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"posted_date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"IudXLNj7CDuc5M5a\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"d71fa024-86a0-4f74-b033-1f755574080c\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n -300\n ],\n \"parameters\": {\n \"width\": 380,\n \"height\": 500,\n \"content\": \"## Hacker News - Who is Hiring Scrape\\n\\nIn this template we setup a scraper for the monthly HN Who is Hiring post. This way we can scrape the data and transform it to a common data strcutre.\\n\\nFirst we use the [Algolia Search](https://hn.algolia.com/) provided by hackernews to drill down the results.\\n\\nWe can use the official [Hacker News API](https://github.com/HackerNews/API\\n) to get the post data and also all the replies!\\n\\nThis will obviously work for any kind of post on hacker news! Get creative 😃\\n\\nAll you need is an Openai Account to structure the text data and an Airtable Account (or similar) to write the results to a list.\\n\\nCopy my base https://airtable.com/appM2JWvA5AstsGdn/shrAuo78cJt5C2laR\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7466fb0c-9f0c-4adf-a6de-b2cf09032719\",\n \"name\": \"HI API: Get the individual job post\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1660,\n -220\n ],\n \"parameters\": {\n \"url\": \"=https://hacker-news.firebaseio.com/v0/item/{{ $json.kids }}.json?print=pretty\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"184abccf-5838-49bf-9922-e0300c6b145e\",\n \"name\": \"HN API: Get Main Post\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1260,\n -220\n ],\n \"parameters\": {\n \"url\": \"=https://hacker-news.firebaseio.com/v0/item/{{ $json.storyId }}.json?print=pretty\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"387f7084-58fa-4643-9351-73c870d3f028\",\n \"connections\": {\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Get relevant data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clean text\": {\n \"main\": [\n [\n {\n \"node\": \"Limit for testing (optional)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract text\": {\n \"main\": [\n [\n {\n \"node\": \"Clean text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get latest post\": {\n \"main\": [\n [\n {\n \"node\": \"HN API: Get Main Post\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get relevant data\": {\n \"main\": [\n [\n {\n \"node\": \"Get latest post\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Trun into structured data\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HN API: Get Main Post\": {\n \"main\": [\n [\n {\n \"node\": \"Split out children (jobs)\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Trun into structured data\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split out children (jobs)\": {\n \"main\": [\n [\n {\n \"node\": \"HI API: Get the individual job post\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Trun into structured data\": {\n \"main\": [\n [\n {\n \"node\": \"Write results to airtable\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit for testing (optional)\": {\n \"main\": [\n [\n {\n \"node\": \"Trun into structured data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search for Who is hiring posts\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Search for Who is hiring posts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HI API: Get the individual job post\": {\n \"main\": [\n [\n {\n \"node\": \"Extract text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "HN Who is Hiring Scrape", "node_count": 20, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 48\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.s3, n8n-nodes-base.dropbox, n8n-nodes-base.set, n8n-nodes-base.hackerNews, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.toolHttpRequest, n8n-nodes-base.linkedIn\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"744G7emgZe0pXaPB\",\n \"meta\": {\n \"instanceId\": \"d868e3d040e7bda892c81b17cf446053ea25d2556fcef89cbe19dd61a3e876e9\"\n },\n \"name\": \"Hacker News to Video Template - AlexK1919\",\n \"tags\": [\n {\n \"id\": \"04PL2irdWYmF2Dg3\",\n \"name\": \"RunwayML\",\n \"createdAt\": \"2024-11-15T05:55:30.783Z\",\n \"updatedAt\": \"2024-11-15T05:55:30.783Z\"\n },\n {\n \"id\": \"yrY6updwSCXMsT0z\",\n \"name\": \"Video\",\n \"createdAt\": \"2024-11-15T05:55:34.333Z\",\n \"updatedAt\": \"2024-11-15T05:55:34.333Z\"\n },\n {\n \"id\": \"QsH2EXuw2e7YCv0K\",\n \"name\": \"OpenAI\",\n \"createdAt\": \"2024-11-15T04:05:20.872Z\",\n \"updatedAt\": \"2024-11-15T04:05:20.872Z\"\n },\n {\n \"id\": \"lvPj9rYRsKOHCi4J\",\n \"name\": \"Creatomate\",\n \"createdAt\": \"2024-11-19T15:59:16.134Z\",\n \"updatedAt\": \"2024-11-19T15:59:16.134Z\"\n },\n {\n \"id\": \"9LXACqpQLNtrM6or\",\n \"name\": \"Leonardo\",\n \"createdAt\": \"2024-11-19T15:59:21.368Z\",\n \"updatedAt\": \"2024-11-19T15:59:21.368Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"c777c41b-842d-4504-a1a0-ccbb034a0fdd\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -320,\n 300\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"74fafd7c-55a4-46ec-b4a8-33d46f2b5b54\",\n \"name\": \"Hacker News\",\n \"type\": \"n8n-nodes-base.hackerNews\",\n \"position\": [\n -20,\n 300\n ],\n \"parameters\": {\n \"resource\": \"all\",\n \"additionalFields\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9cd87fd2-6a38-463a-a22e-e0c34910818f\",\n \"name\": \"Loop Over Items\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n 440,\n 300\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"611b24cd-558b-4025-a0a8-ea355ba61988\",\n \"name\": \"OpenAI Chat Model3\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 720,\n 580\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f814682c-cf6f-49a8-8ea0-48fbc64a3ebe\",\n \"name\": \"HTTP Request1\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolHttpRequest\",\n \"position\": [\n 900,\n 580\n ],\n \"parameters\": {\n \"url\": \"={{ $json.url }}\",\n \"toolDescription\": \"grab the article for the ai agent to use\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"2a4bcf69-23f0-440d-a3b0-c8261e153c62\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1080,\n 580\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n\\t\\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n\\t\\t\\\"summary\\\": {\\n\\t\\t\\t\\\"type\\\": \\\"string\\\"\\n\\t\\t},\\n\\t\\t\\\"related\\\": {\\n\\t\\t\\t\\\"type\\\": \\\"string\\\"\\n\\t\\t},\\n \\\"image urls\\\": {\\n\\t\\t\\t\\\"type\\\": \\\"string\\\"\\n }\\n\\t}\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"83c3b8f0-8d67-48a2-a5ce-b777ea1d7b32\",\n \"name\": \"Upload to Minio\",\n \"type\": \"n8n-nodes-base.s3\",\n \"position\": [\n 4240,\n 1080\n ],\n \"parameters\": {\n \"operation\": \"upload\",\n \"bucketName\": \"=\",\n \"additionalFields\": {\n \"grantRead\": true,\n \"parentFolderKey\": \"=\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"05b972ff-ccab-415b-8787-aafabb3b7292\",\n \"name\": \"News1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 320\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ec8013d5-84b5-43c8-abcb-6986ef15939d\",\n \"name\": \"property_name\",\n \"type\": \"string\",\n \"value\": \"={{ $json.message.content['Article Title'] }}\"\n },\n {\n \"id\": \"4d91c4fc-12a2-4fe2-a58e-02284314e1de\",\n \"name\": \"property_text\",\n \"type\": \"string\",\n \"value\": \"={{ $json.message.content['Article Blurb'] }}\"\n },\n {\n \"id\": \"cad2b795-8b71-415f-a100-700d9ec62bbd\",\n \"name\": \"property_image_url\",\n \"type\": \"string\",\n \"value\": \"={{ $('If Topic').item.json.output['image urls'] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d175d366-e672-4452-b78e-a06336ef242b\",\n \"name\": \"Leo - Improve Prompt\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2720,\n 100\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/prompt/improve\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"prompt\\\": \\\"{{ $('Article Prep').item.json.message.content['Image Prompt 1'] }}\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d8da7879-1a67-4da1-86db-f70e50b4e9da\",\n \"name\": \"Leo - Get imageId\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3320,\n 100\n ],\n \"parameters\": {\n \"url\": \"=https://cloud.leonardo.ai/api/rest/v1/generations/{{ $json.body.sdGenerationJob.generationId }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"content-type\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"faf80246-3b1a-49c6-a277-0152428e46e1\",\n \"name\": \"Runway - Create Video\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2520,\n 300\n ],\n \"parameters\": {\n \"url\": \"https://api.dev.runwayml.com/v1/image_to_video\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"promptImage\",\n \"value\": \"={{ $json.body.generations_by_pk.generated_images[0].url }}\"\n },\n {\n \"name\": \"promptText\",\n \"value\": \"string\"\n },\n {\n \"name\": \"model\",\n \"value\": \"gen3a_turbo\"\n }\n ]\n },\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e91c1f01-7870-4063-9557-24a6ba1d3db3\",\n \"name\": \"Runway - Get Video\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 300\n ],\n \"parameters\": {\n \"url\": \"=https://api.dev.runwayml.com/v1/tasks/{{ $json.id }}\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"41ee2665-e1aa-4d48-ade6-e37af568f211\",\n \"name\": \"Wait2\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2720,\n 300\n ],\n \"webhookId\": \"ddca5833-a40b-404a-9140-686cd4fa26cb\",\n \"parameters\": {\n \"unit\": \"minutes\",\n \"amount\": 3\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"091e9e07-89ba-4fe3-9fc5-278fc333dbff\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -160,\n -40\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 341,\n \"height\": 951,\n \"content\": \"# Choose your data source \\n## This can be swapped for any other data source of your choosing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9660a593-9966-4ebe-bfd7-f884dc185d56\",\n \"name\": \"If Topic\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1100,\n 320\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"56219de5-244d-4b7f-a511-f3061572cf93\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.output.related }}\",\n \"rightValue\": \"yes\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"e47140ac-20cc-417b-a6cd-30f780dc8289\",\n \"name\": \"Get Image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1500,\n 320\n ],\n \"parameters\": {\n \"url\": \"={{ $('Article Analysis').first().json.output['image urls'] }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"26f80f71-2c3a-46fe-a960-21cdbc18ce34\",\n \"name\": \"Prompt Settings1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2520,\n 100\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"56c8f20d-d9d9-4be7-ac2a-38df6ffdd722\",\n \"name\": \"model\",\n \"type\": \"string\",\n \"value\": \"6b645e3a-d64f-4341-a6d8-7a3690fbf042\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ce697f6f-f8fc-4ba7-b776-17bbc2e870b7\",\n \"name\": \"Leo - Generate Image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 100\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/generations\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"alchemy\\\": true,\\n \\\"width\\\": 1024,\\n \\\"height\\\": 768,\\n \\\"modelId\\\": \\\"6b645e3a-d64f-4341-a6d8-7a3690fbf042\\\",\\n \\\"num_images\\\": 1,\\n \\\"presetStyle\\\": \\\"MONOCHROME\\\",\\n \\\"prompt\\\": \\\"{{ $json.body.promptGeneration.prompt }}; Use the rule of thirds, leading lines, & balance. DO NOT INCLUDE ANY WORDS OR LABELS.\\\",\\n \\\"guidance_scale\\\": 7,\\n \\\"highResolution\\\": true,\\n \\\"promptMagic\\\": false,\\n \\\"promptMagicStrength\\\": 0.5,\\n \\\"promptMagicVersion\\\": \\\"v3\\\",\\n \\\"public\\\": false,\\n \\\"ultra\\\": false,\\n \\\"photoReal\\\": false,\\n \\\"negative_prompt\\\": \\\"\\\"\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e2067fe5-3fae-4f97-97c0-879967efd9b8\",\n \"name\": \"Wait1\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3120,\n 100\n ],\n \"webhookId\": \"256c3814-6a52-4eb1-969a-30f9f3b8e04e\",\n \"parameters\": {\n \"amount\": 30\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"f0ba57a5-1d27-4c75-a422-4bc0e2cead9d\",\n \"name\": \"Limit\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 240,\n 300\n ],\n \"parameters\": {\n \"keep\": \"lastItems\",\n \"maxItems\": 50\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e01152aa-961b-4e33-a1e3-186d47d81c55\",\n \"name\": \"Image Analysis\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1300,\n 320\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {\n \"detail\": \"auto\"\n },\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $json.output['image urls'] }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ysxujEYFiY5ozRTS\",\n \"name\": \"AlexK OpenAi Key\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"ab346129-c3d5-4f51-af5e-5d63cd154981\",\n \"name\": \"Wait3\",\n \"type\": \"n8n-nodes-base.wait\",\n \"disabled\": true,\n \"position\": [\n 3080,\n 1020\n ],\n \"webhookId\": \"6e4a0b8d-6c31-4a98-8ec3-2509aa2087e8\",\n \"parameters\": {\n \"unit\": \"minutes\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"872c35a3-bdd5-4eec-9bac-0959f3ff78e7\",\n \"name\": \"Article Analysis\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 740,\n 300\n ],\n \"parameters\": {\n \"text\": \"=Can you tell me if the article at {{ $json.url }} is related to automation or ai? \\n\\nthen, create a 250 word summary of the article\\n\\nAlso, list any image url's related to the article content from the url. Limit to 1 image url.\",\n \"options\": {\n \"systemMessage\": \"You are a helpful assistant in summarizing and identifying articles related to automation and ai. \\nOutput the results as:\\nsummary: \\nrelated: yes or no\\nimage urls: \"\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"31c3a90e-10ee-4217-9b08-ff57bf17ea10\",\n \"name\": \"Dropbox\",\n \"type\": \"n8n-nodes-base.dropbox\",\n \"position\": [\n 3640,\n 1080\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"22ccd0a0-f7f6-40ca-bd09-40ed4a7fcde1\",\n \"name\": \"Google Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n 3840,\n 1080\n ],\n \"parameters\": {\n \"fileId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"\"\n },\n \"options\": {},\n \"operation\": \"update\"\n },\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"m8K1mbAUn7yuiEwl\",\n \"name\": \"AlexK1919 Google Drive account\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"ea75931d-c1ee-4139-9bdc-7901056ba016\",\n \"name\": \"Microsoft OneDrive\",\n \"type\": \"n8n-nodes-base.microsoftOneDrive\",\n \"position\": [\n 4040,\n 1080\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"38888521-3087-4e0a-81d6-cf4b9a5dd3dd\",\n \"name\": \"YouTube\",\n \"type\": \"n8n-nodes-base.youTube\",\n \"position\": [\n 3640,\n 1500\n ],\n \"parameters\": {\n \"options\": {},\n \"resource\": \"video\",\n \"operation\": \"upload\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"55f3decc-f952-4d2a-804d-2aec44fb2755\",\n \"name\": \"X\",\n \"type\": \"n8n-nodes-base.twitter\",\n \"position\": [\n 3840,\n 1500\n ],\n \"parameters\": {\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"54c8b762-444d-4790-97a9-a2f84518492f\",\n \"name\": \"Instagram\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 4240,\n 1500\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"90040f15-95c0-4ebb-818f-dde508eb0689\",\n \"name\": \"LinkedIn\",\n \"type\": \"n8n-nodes-base.linkedIn\",\n \"position\": [\n 4040,\n 1500\n ],\n \"parameters\": {\n \"additionalFields\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"691eb779-5fae-4f65-89eb-b1b8e5488809\",\n \"name\": \"Leo - Improve Prompt2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2720,\n 500\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/prompt/improve\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"prompt\\\": \\\"{{ $('Article Prep').item.json.message.content['Image Prompt 2'] }}\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"076a745a-055b-459c-8af9-fa7b6740dc6f\",\n \"name\": \"Wait4\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2720,\n 700\n ],\n \"webhookId\": \"89b31515-b403-4644-a2c1-970e5e774008\",\n \"parameters\": {\n \"unit\": \"minutes\",\n \"amount\": 3\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"adc2c993-3f89-40df-96fc-eb3ff5eafb1c\",\n \"name\": \"Wait6\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3120,\n 500\n ],\n \"webhookId\": \"2efb873f-bcbd-41d9-99da-b2b57ef5ad93\",\n \"parameters\": {\n \"amount\": 30\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"156f5735-bc20-46a9-871c-143b0772ca45\",\n \"name\": \"Leo - Generate Image2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 500\n ],\n \"parameters\": {\n \"url\": \"https://cloud.leonardo.ai/api/rest/v1/generations\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"alchemy\\\": true,\\n \\\"width\\\": 1024,\\n \\\"height\\\": 768,\\n \\\"modelId\\\": \\\"6b645e3a-d64f-4341-a6d8-7a3690fbf042\\\",\\n \\\"num_images\\\": 1,\\n \\\"presetStyle\\\": \\\"MONOCHROME\\\",\\n \\\"prompt\\\": \\\"{{ $json.body.promptGeneration.prompt }}; Use the rule of thirds, leading lines, & balance. DO NOT INCLUDE ANY WORDS OR LABELS.\\\",\\n \\\"guidance_scale\\\": 7,\\n \\\"highResolution\\\": true,\\n \\\"promptMagic\\\": false,\\n \\\"promptMagicStrength\\\": 0.5,\\n \\\"promptMagicVersion\\\": \\\"v3\\\",\\n \\\"public\\\": false,\\n \\\"ultra\\\": false,\\n \\\"photoReal\\\": false,\\n \\\"negative_prompt\\\": \\\"\\\"\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"accept\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4f270fa8-4da2-44f0-927f-3509fd9f8f7d\",\n \"name\": \"Leo - Get imageId2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3320,\n 500\n ],\n \"parameters\": {\n \"url\": \"=https://cloud.leonardo.ai/api/rest/v1/generations/{{ $json.body.sdGenerationJob.generationId }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"content-type\",\n \"value\": \"application/json\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"49c0e7ba-bf9c-4819-b479-61aa099ab9ab\",\n \"name\": \"Runway - Create Video2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2520,\n 700\n ],\n \"parameters\": {\n \"url\": \"https://api.dev.runwayml.com/v1/image_to_video\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"promptImage\",\n \"value\": \"={{ $json.body.generations_by_pk.generated_images[0].url }}\"\n },\n {\n \"name\": \"promptText\",\n \"value\": \"string\"\n },\n {\n \"name\": \"model\",\n \"value\": \"gen3a_turbo\"\n }\n ]\n },\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d03eb190-5fc0-4b7e-ad65-88ece3ab833d\",\n \"name\": \"Runway - Get Video2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 700\n ],\n \"parameters\": {\n \"url\": \"=https://api.dev.runwayml.com/v1/tasks/{{ $json.id }}\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"X-Runway-Version\",\n \"value\": \"2024-11-06\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"0072563d-b87d-47c5-80fd-ed3c051b3287\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3580,\n 940\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 882,\n \"height\": 372,\n \"content\": \"# Upload Assets\\nYou can extend this workflow further by uploading the generated assets to your storage option of choice.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a0b2377e-57ea-47e9-83c9-3e58372610e5\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3580,\n 1360\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 882,\n \"height\": 372,\n \"content\": \"# Post to Social Media\\nYou can extend this workflow further by posting the generated assets to social media.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"708fe6a0-4899-462b-9a08-fadea7c7e195\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n -40\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 1114,\n \"height\": 943,\n \"content\": \"# Generate Images and Videos\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5bbb6552-ec3a-42ea-a911-993f67a6c8dc\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n 940\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 1114,\n \"height\": 372,\n \"content\": \"# Stitch it all together\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"25f4cc09-fbff-4c10-b706-30df5840b794\",\n \"name\": \"Cre - Generate Video1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2880,\n 1020\n ],\n \"parameters\": {\n \"url\": \"https://api.creatomate.com/v1/renders\",\n \"method\": \"POST\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"jsonBody\": \"={\\n \\\"max_width\\\": 480,\\n \\\"template_id\\\": \\\"enterTemplateID\\\",\\n \\\"modifications\\\": {\\n \\\"Scenes.elements\\\": [\\n {\\n \\\"name\\\": \\\"Intro Comp\\\",\\n \\\"type\\\": \\\"composition\\\",\\n \\\"track\\\": 1,\\n \\\"elements\\\": [\\n {\\n \\\"name\\\": \\\"Image-1\\\",\\n \\\"type\\\": \\\"image\\\",\\n \\\"source\\\": \\\"{{ $('Leo - Get imageId').item.json.body.generations_by_pk.generated_images[0].url }}\\\"\\n },\\n {\\n \\\"name\\\": \\\"Subtitles-1\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"transcript_source\\\": \\\"Voiceover-1\\\",\\n \\\"width\\\": \\\"86.66%\\\",\\n \\\"height\\\": \\\"37.71%\\\",\\n \\\"x_alignment\\\": \\\"50%\\\",\\n \\\"y_alignment\\\": \\\"50%\\\",\\n \\\"fill_color\\\": \\\"#ffffff\\\",\\n \\\"stroke_color\\\": \\\"#333333\\\",\\n \\\"stroke_width\\\": \\\"1.05 vmin\\\",\\n \\\"font_family\\\": \\\"Inter\\\",\\n \\\"font_weight\\\": \\\"700\\\",\\n \\\"font_size\\\": \\\"8 vmin\\\",\\n \\\"background_color\\\": \\\"rgba(255,255,255,0.2)\\\",\\n \\\"background_x_padding\\\": \\\"26%\\\",\\n \\\"background_y_padding\\\": \\\"7%\\\",\\n \\\"background_border_radius\\\": \\\"28%\\\",\\n \\\"transcript_effect\\\": \\\"highlight\\\",\\n \\\"transcript_color\\\": \\\"#ff5900\\\"\\n },\\n {\\n \\\"name\\\": \\\"Voiceover-1\\\",\\n \\\"type\\\": \\\"audio\\\",\\n \\\"source\\\": \\\"{{ $('News1').item.json.property_name }}\\\",\\n \\\"provider\\\": \\\"openai model=tts-1 voice=onyx\\\"\\n }\\n ]\\n },\\n {\\n \\\"name\\\": \\\"Auto Scene Comp\\\",\\n \\\"type\\\": \\\"composition\\\",\\n \\\"track\\\": 1,\\n \\\"elements\\\": [\\n {\\n \\\"name\\\": \\\"Video-2\\\",\\n \\\"type\\\": \\\"video\\\",\\n \\\"source\\\": \\\"{{ $('Runway - Get Video').first().json.output[0] }}\\\",\\n \\\"loop\\\": true\\n },\\n {\\n \\\"name\\\": \\\"Subtitles-2\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"transcript_source\\\": \\\"Voiceover-2\\\",\\n \\\"y\\\": \\\"78.2173%\\\",\\n \\\"width\\\": \\\"86.66%\\\",\\n \\\"height\\\": \\\"37.71%\\\",\\n \\\"x_alignment\\\": \\\"50%\\\",\\n \\\"y_alignment\\\": \\\"50%\\\",\\n \\\"fill_color\\\": \\\"#ffffff\\\",\\n \\\"stroke_color\\\": \\\"#333333\\\",\\n \\\"stroke_width\\\": \\\"1.05 vmin\\\",\\n \\\"font_family\\\": \\\"Inter\\\",\\n \\\"font_weight\\\": \\\"700\\\",\\n \\\"font_size\\\": \\\"8 vmin\\\",\\n \\\"background_color\\\": \\\"rgba(255,255,255,0.2)\\\",\\n \\\"background_x_padding\\\": \\\"26%\\\",\\n \\\"background_y_padding\\\": \\\"7%\\\",\\n \\\"background_border_radius\\\": \\\"28%\\\",\\n \\\"transcript_effect\\\": \\\"highlight\\\",\\n \\\"transcript_color\\\": \\\"#ff5900\\\"\\n },\\n {\\n \\\"name\\\": \\\"Voiceover-2\\\",\\n \\\"type\\\": \\\"audio\\\",\\n \\\"source\\\": \\\"{{ $('Article Prep').item.json.message.content['Summary Blurb 1'] }}\\\",\\n \\\"provider\\\": \\\"openai model=tts-1 voice=onyx\\\"\\n }\\n ]\\n },\\n {\\n \\\"name\\\": \\\"Auto Scene Comp\\\",\\n \\\"type\\\": \\\"composition\\\",\\n \\\"track\\\": 1,\\n \\\"elements\\\": [\\n {\\n \\\"name\\\": \\\"Video-3\\\",\\n \\\"type\\\": \\\"video\\\",\\n \\\"source\\\": \\\"{{ $('Runway - Get Video2').first().json.output[0] }}\\\",\\n \\\"loop\\\": true\\n },\\n {\\n \\\"name\\\": \\\"Subtitles-3\\\",\\n \\\"type\\\": \\\"text\\\",\\n \\\"transcript_source\\\": \\\"Voiceover-3\\\",\\n \\\"y\\\": \\\"78.2173%\\\",\\n \\\"width\\\": \\\"86.66%\\\",\\n \\\"height\\\": \\\"37.71%\\\",\\n \\\"x_alignment\\\": \\\"50%\\\",\\n \\\"y_alignment\\\": \\\"50%\\\",\\n \\\"fill_color\\\": \\\"#ffffff\\\",\\n \\\"stroke_color\\\": \\\"#333333\\\",\\n \\\"stroke_width\\\": \\\"1.05 vmin\\\",\\n \\\"font_family\\\": \\\"Inter\\\",\\n \\\"font_weight\\\": \\\"700\\\",\\n \\\"font_size\\\": \\\"8 vmin\\\",\\n \\\"background_color\\\": \\\"rgba(255,89,0,0.5)\\\",\\n \\\"background_x_padding\\\": \\\"26%\\\",\\n \\\"background_y_padding\\\": \\\"7%\\\",\\n \\\"background_border_radius\\\": \\\"28%\\\",\\n \\\"transcript_effect\\\": \\\"highlight\\\",\\n \\\"transcript_color\\\": \\\"#ff0040\\\"\\n },\\n {\\n \\\"name\\\": \\\"Voiceover-3\\\",\\n \\\"type\\\": \\\"audio\\\",\\n \\\"source\\\": \\\"{{ $('Article Prep').item.json.message.content['Summary Blurb 2'] }}\\\",\\n \\\"provider\\\": \\\"openai model=tts-1 voice=onyx\\\"\\n }\\n ]\\n }\\n ]\\n }\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\"\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"7093de7b-a4e3-4363-8038-1002f7b20fbc\",\n \"name\": \"Cre - Get Video\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3280,\n 1020\n ],\n \"parameters\": {\n \"url\": \"=https://api.creatomate.com/v1/renders/{{ $json.body.body[0].id }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"fullResponse\": true\n }\n }\n },\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpCustomAuth\"\n },\n \"credentials\": {\n \"httpCustomAuth\": {\n \"id\": \"hIzUsjbtHLmIe6uM\",\n \"name\": \"RunwayML Custom Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"a57b719f-b299-431e-9c85-fa333e38b6a7\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 660,\n -40\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 1033,\n \"height\": 951,\n \"content\": \"# Article Analysis - Is it the right topic?\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"60b879a0-8b7f-40f1-ae70-ac94e4675b38\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n -40\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 630,\n \"height\": 947,\n \"content\": \"# Prepare the article for content generation\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afaf8437-ee52-434b-a267-8dbaff0e1922\",\n \"name\": \"Article Prep\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1820,\n 320\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=prepare the following summary for a newsletter where the article will be 1 of several presented in the newsletter:\\n\\n{{ $('Article Analysis').first().json.output.summary }}\\n\\nMake sure the Article Blurb lenght is less than 15 words.\\n\\nThen, create 2 Summary Blurbs, making sure each is less than 15 words.\\n\\nAlso create 2 image prompts that is less than 15 words long for each Summary Blurb\"\n },\n {\n \"role\": \"system\",\n \"content\": \"Output in markdown format\\nArticle Title\\nArticle Blurb\\nSummary Blurb 1\\nSummary Blurb 2\\nArticle Image\\nImage Prompt 1\\nImage Prompt 2\"\n }\n ]\n },\n \"jsonOutput\": true\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"ysxujEYFiY5ozRTS\",\n \"name\": \"AlexK OpenAi Key\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"e7c95d56-86e1-4456-a6d3-9c8b9fc3a53c\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -620,\n -40\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 252,\n \"height\": 946,\n \"content\": \"# AlexK1919 \\n\\n\\n#### I’m Alex Kim, an AI-Native Workflow Automation Architect Building Solutions to Optimize your Personal and Professional Life.\\n\\n### Workflow Overview Video\\nhttps://youtu.be/XaKybLDUlLk\\n\\n### About Me\\nhttps://beacons.ai/alexk1919\\n\\n### Product Used \\n[Leonardo.ai](https://leonardo.ai)\\n[RunwayML](https://runwayml.com/)\\n[Creatomate](https://creatomate.com/)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"32e2803e-bf7c-4da4-a4ae-c9b6fa5ae226\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3280,\n 1180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 180,\n \"height\": 100,\n \"content\": \"Don't forget to connect this last node to the loop to process additional items\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c7ab1ecd-50cb-4e4b-b2f7-aade804bbd63\",\n \"connections\": {\n \"X\": {\n \"main\": [\n [\n {\n \"node\": \"LinkedIn\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"News1\": {\n \"main\": [\n [\n {\n \"node\": \"Prompt Settings1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Get imageId\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait2\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Get Video\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait3\": {\n \"main\": [\n [\n {\n \"node\": \"Cre - Get Video\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait4\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Get Video2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait6\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Get imageId2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Dropbox\": {\n \"main\": [\n [\n {\n \"node\": \"Google Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"YouTube\": {\n \"main\": [\n [\n {\n \"node\": \"X\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Topic\": {\n \"main\": [\n [\n {\n \"node\": \"Image Analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LinkedIn\": {\n \"main\": [\n [\n {\n \"node\": \"Instagram\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Image\": {\n \"main\": [\n [\n {\n \"node\": \"Article Prep\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Hacker News\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Article Prep\": {\n \"main\": [\n [\n {\n \"node\": \"News1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Microsoft OneDrive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image Analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Get Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [],\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Article Analysis\": {\n \"main\": [\n [\n {\n \"node\": \"If Topic\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prompt Settings1\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Improve Prompt\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Get imageId\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Create Video\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Get imageId2\": {\n \"main\": [\n [\n {\n \"node\": \"Runway - Create Video2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Microsoft OneDrive\": {\n \"main\": [\n [\n {\n \"node\": \"Upload to Minio\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model3\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Get Video\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Improve Prompt2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Get Video2\": {\n \"main\": [\n [\n {\n \"node\": \"Cre - Generate Video1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Generate Image\": {\n \"main\": [\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Improve Prompt\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Generate Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Cre - Generate Video1\": {\n \"main\": [\n [\n {\n \"node\": \"Wait3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Generate Image2\": {\n \"main\": [\n [\n {\n \"node\": \"Wait6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Leo - Improve Prompt2\": {\n \"main\": [\n [\n {\n \"node\": \"Leo - Generate Image2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Create Video\": {\n \"main\": [\n [\n {\n \"node\": \"Wait2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Runway - Create Video2\": {\n \"main\": [\n [\n {\n \"node\": \"Wait4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Article Analysis\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Hacker News\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Hacker News to Video Template - AlexK1919", "node_count": 48, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for intelligent web query and semantic re ranking flow", "response": "# Workflow Architecture\n\n**Purpose**: AI & LLM + Webhooks\n\n**Key Components**:\n- Total Nodes: 20\n- Node Types: @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.lmChatAnthropic, n8n-nodes-base.dateTime, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.code, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.outputParserAutofixing\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"wa2uEnSIowqSrHoY\",\n \"meta\": {\n \"instanceId\": \"cca06617664f52c5a019ea575691fdbce675dd95dc0452af5f13dbe76d615b69\"\n },\n \"name\": \"Intelligent Web Query and Semantic Re-Ranking Flow\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"8e7dc5cb-6822-4ef6-9e5a-2b350a1526bf\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -640,\n -620\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 1172,\n \"height\": 970,\n \"content\": \"\\n## Step 1. Set Up a Free Brave Web Search Query API Key\\n\\nTo attain the free web search API tier from Brave, follow these steps:\\n\\n1. Visit api.search.brave.com\\n2. Create an account\\n3. Subscribe to the free plan (no charge)\\n4. Navigate to the API Keys section\\n5. Generate an API key. For the subscription type, choose \\\"Free\\\".\\n6. Go to the \\\"Query\\\" Nodes and change the \\\"X-Subscription-Token\\\" value to your API Key.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5bb3e68f-7693-4d4b-b794-843f2c3535e0\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1580,\n -420\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 680,\n \"height\": 360,\n \"content\": \"## If you require to change this Node to Webhook Or any Other Item:\\n\\n- In case you want to change the input type from Webhook to any other item, Make sure to go to the Query 1 and Query 1 Ranker and replace the Webhook Input to your Node's input.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f2fc02f9-a78a-4e87-be85-0032492a9f3f\",\n \"name\": \"Date & Time\",\n \"type\": \"n8n-nodes-base.dateTime\",\n \"position\": [\n -820,\n -240\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"6f18ebbd-83db-4900-bc2e-0a9f23d6e8c8\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -1340,\n -240\n ],\n \"webhookId\": \"962f1468-c80f-4c0c-8555-a0acf648ede4\",\n \"parameters\": {\n \"path\": \"962f1468-c80f-4c0c-8555-a0acf648ede4\",\n \"options\": {},\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ba5ea83e-1b47-475b-863f-269ae293729a\",\n \"name\": \"Auto-fixing Output Parser6\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserAutofixing\",\n \"position\": [\n 180,\n -140\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca426b6d-5412-4c5b-a55c-009a47c59a81\",\n \"name\": \"Auto-fixing Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserAutofixing\",\n \"position\": [\n -580,\n -140\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"501d5390-5317-4973-a3e9-b0f502399c2b\",\n \"name\": \"Structured Output Parser1\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n -460,\n -60\n ],\n \"parameters\": {\n \"jsonSchemaExample\": \"{\\n \\\"reasoning_summary\\\": \\\"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\\\",\\n \\\"final_search_query\\\": \\\"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\\\"\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"a27e75c7-0307-4d71-9266-5a56b297a6e3\",\n \"name\": \"Query-1 Combined\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -80,\n -240\n ],\n \"parameters\": {\n \"jsCode\": \"// Initialize an empty string to store all title, url, and description pairs\\nlet aggregatedOutputText = \\\"\\\";\\n\\n// Loop through all items passed to this Function node\\nfor (let item of items) {\\n // Access the JSON data from \\\"Query 1\\\" node for the current item\\n const queryData = item.json;\\n\\n // Ensure there is a \\\"web.results\\\" array to process\\n if (queryData.web?.results && Array.isArray(queryData.web.results)) {\\n // Loop through all results in the \\\"web.results\\\" array\\n for (let result of queryData.web.results) {\\n // Extract the title, url, and description for each result\\n const title = result.title || \\\"No Title\\\";\\n const url = result.url || \\\"No URL\\\";\\n const description = result.description || \\\"No Description\\\";\\n\\n // Append the values to the aggregated string\\n aggregatedOutputText += `Title: ${title}\\\\nURL: ${url}\\\\nDescription: ${description}\\\\n\\\\n`;\\n }\\n } else {\\n // If no results array, handle gracefully\\n aggregatedOutputText += \\\"No results found for this item.\\\\n\\\\n\\\";\\n }\\n}\\n\\n// Trim the final string to remove any trailing newline and whitespace\\naggregatedOutputText = aggregatedOutputText.trim();\\n\\n// Return a single item containing the aggregated output as a string\\nreturn [\\n {\\n json: {\\n aggregated_text: aggregatedOutputText\\n }\\n }\\n];\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"acbdbe94-b5a7-4ec9-9fc8-c3ab147f42fa\",\n \"name\": \"Respond to Webhook\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 640,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"respondWith\": \"text\",\n \"responseBody\": \"={\\n \\\"Highest_RANKEDURL_1\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_1']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_2\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_2']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_3\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_3']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_4\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_4']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_5\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_5']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_6\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_6']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_7\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_7']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_8\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_8']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_9\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_9']['description'] }}\\\"\\n },\\n \\\"Highest_RANKEDURL_10\\\": {\\n \\\"title\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['title'] }}\\\",\\n \\\"link\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['link'] }}\\\",\\n \\\"description\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Highest_RANKEDURL_10']['description'] }}\\\"\\n },\\n \\\"Information_extracted\\\": \\\"{{ $item('0').$node['Semantic Search - Result Re-Ranker'].json['output']['Information_extracted'] }}\\\"\\n}\\n\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"b8b6ae73-586a-406f-9641-57e2625f800c\",\n \"name\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 100,\n -240\n ],\n \"parameters\": {\n \"text\": \"=\\n**Objective:**\\n\\nFor the user's query, web search results are provided. Your tasks are:\\n\\n1. **Rank the links** based on how well they match the user's query.\\n2. **Extract relevant information** from the descriptions provided. If no relevant information is found, return \\\"N/A\\\".\\n\\n---\\n\\n**Task:**\\n\\n**Step 1: Understand the User's Intent**\\n\\n- Determine what the user is truly and technically looking for.\\n- The user's request query is: \\\"{{ $('Webhook').item.json.query['Research Question'] }}\\\"\\n- The serach results below, however their performance seem, have been based on this query \\\"{{ $item(\\\"0\\\").$node[\\\"Semantic Search -Query Maker\\\"].json[\\\"output\\\"][\\\"final_search_query\\\"] }}\\\". If the result are not satisfactory or missing due to bad query making, you should note that as well for the neww query making.\\n- To nesure being time aware , realize todays date is: \\\"{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}\\\"\\n\\n- Follow a three-step chain of thought to comprehend the user's needs. Think out loud.\\n\\n---\\n\\n**Step 2: Rank the Links**\\n\\n- From the URLs and description snippets provided, **rank the top 10 websites** that are most likely to contain the required information.\\n- Use the titles, descriptions, and sources to inform your ranking.\\n\\n**Links, Titles, and Descriptions:**\\n\\n{{ $json.aggregated_text }}\\n\\n---\\n\\nThis list completes the structure up to 20 results as you requested. Let me know if there’s anything more you need!\\n\\n---\\n\\n**Step 3: Analyze and Create a Follow-up Query**\\n\\n- Recognize that for the user's request:\\n\\n `\\\"{{ $('Webhook').item.json.query['Research Question'] }}\\\"`\\n\\n The results provided are based on the assistant's generated search query:\\n\\n `\\\"{{ $item(\\\"0\\\").$node[\\\"Semantic Search -Query Maker\\\"].json[\\\"output\\\"][\\\"final_search_query\\\"] }}\\\"`\\n\\n- Analyze and revise any issues or new insights through multi-step thinking to create a follow-up query.\\n\\n**Indications and Priorities:**\\n\\n1. **No Results Received:** If no search items are shared, the search query may have been ineffective (e.g., too specific, incorrect parameters).\\n2. **Insufficient or Unpromising Results:** If fewer than 20 but more than 5 results are provided, and none seem promising, the search query may need refinement.\\n3. **Successful Results with Potential Follow-up:** If none of the above issues occurred and the search results provide answers or suggest a follow-up, create a new query. This could be a new topic, a deep dive, or a parallel factor that offers additional benefits.\\n\\n- Provide your chain of thought that connects the user's request to the actual information.\\n\\n- Deliver precise, detailed, and value-oriented information relevant to the user's query.\\n\\n**Step 4: Query making notes and examples**: \\n\\nThe queries must not be long tails , as they result in 0 websearch reutrns. We give you some examples of good web search queries:\\nExamples:\\n\\nUser Question: \\\"What is the current state of the U.S. economy in 2024?\\\"\\nEffective Search Query: \\\"U.S. Economy Analysis Report 2024\\\"\\n\\nUser Question: \\\"What are the recent advancements in artificial intelligence?\\\"\\nEffective Search Query: \\\"2024 Artificial Intelligence Developments\\\"\\n\\nUser Question: \\\"How is climate change affecting agriculture globally?\\\"\\nEffective Search Query: \\\"Global Impact of Climate Change on Agriculture 2024\\\"\\n\\nUser Question: \\\"What are the latest trends in cybersecurity threats?\\\"\\nEffective Search Query: \\\"Cybersecurity Threats and Trends 2024\\\"\\n\\nUser Question: \\\"What is the outlook for renewable energy investments?\\\"\\nEffective Search Query: \\\"Renewable Energy Investment Outlook 2024\\\"\\n\\n**Step 5: Query making*: \\nor query making remember as we said:\\n - **Today's Date:** \\\"{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}\\\"\\n **Search Inquiry:** \\n - **Search Topic to create the query upon it:**{{ $item(\\\"0\\\").$node[\\\"Webhook\\\"].json[\\\"query\\\"][\\\"Research Question\\\"] }}\\\"\\\"\\n\\n\\n---\\n\\n**Step 6: Output Format**\\n\\nEnsure the response is in the following JSON format:\\n\\n{\\n \\\"chain_of_thought\\\": \\\"Insert your step-by-step reasoning here.\\\",\\n \\\"Highest_RANKEDURL_1\\\": {\\n \\\"title\\\": \\\"Insert the First Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the First Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the First Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_2\\\": {\\n \\\"title\\\": \\\"Insert the Second Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Second Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Second Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_3\\\": {\\n \\\"title\\\": \\\"Insert the Third Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Third Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Third Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_4\\\": {\\n \\\"title\\\": \\\"Insert the Fourth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fourth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fourth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_5\\\": {\\n \\\"title\\\": \\\"Insert the Fifth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fifth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fifth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_6\\\": {\\n \\\"title\\\": \\\"Insert the Sixth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Sixth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Sixth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_7\\\": {\\n \\\"title\\\": \\\"Insert the Seventh Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Seventh Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Seventh Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_8\\\": {\\n \\\"title\\\": \\\"Insert the Eighth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Eighth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Eighth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_9\\\": {\\n \\\"title\\\": \\\"Insert the Ninth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Ninth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Ninth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_10\\\": {\\n \\\"title\\\": \\\"Insert the Tenth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Tenth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Tenth Ranked URL's Description here.\\\"\\n },\\n \\\"Information_extracted\\\": \\\"Insert all extracted information relevant to the user's query or 'N/A' if none.\\\"\\n}\\n\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=\\nYou are an expert information retrieval and critical evaluation assistant designed to process, rank, and extract high-relevance content from web search results for complex user queries. You must provide value-oriented insights while refining searches based on relevance and context sensitivity. \\n\\n**Your Process and Priorities:**\\n\\n#### 1. **Determine the User's Technical Intent**\\n - Interpret the user's core question provided as `{{ $item(\\\"0\\\").$node[\\\"Webhook\\\"].json[\\\"query\\\"][\\\"Research Question\\\"] }}`, discerning underlying objectives and specialized needs.\\n - Recognize that the search results may have been generated from a **secondary query**: `{{ $item(\\\"0\\\").$node[\\\"Semantic Search -Query Maker\\\"].json[\\\"output\\\"][\\\"final_search_query\\\"] }}`. \\n - Judge the adequacy of this generated query. If it does not meet the user’s objectives, highlight the need for query refinement and prepare to adapt the approach.\\n - Stay mindful of the date context, using `{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}` to assess the freshness of content or time-sensitive relevance.\\n\\n#### 2. **Rank Results Based on Analytical Relevance**\\n - From the search results provided, **rank the top 3 URLs** that most closely align with the user’s intent and technical needs.\\n - Use multi-dimensional analysis to assess how each link’s title, description, and source match the user’s objective.\\n - Prioritize results based on credibility, relevance, and their potential to add depth to the user’s inquiry.\\n - Your goal is to select the highest-value links, disregarding results that offer superficial, off-topic, or outdated information.\\n\\n#### 3. **Extract Key Information**\\n - For each of the top 3 ranked results, extract insights and details from the description snippets that directly address the user’s query.\\n - If no pertinent information is available in a description, record `\\\"N/A\\\"` to indicate its lack of relevance.\\n\\n#### 4. **Evaluate for Potential Query Improvement**\\n - Evaluate the relevance and coverage of search results:\\n - If fewer than 5 relevant results are present, consider that the initial query may be too narrow, specific, or otherwise misaligned.\\n - Generate a **refined query** that is adjusted to better match the user’s likely needs and produce higher-quality results.\\n - Use advanced language modifications, new keyword suggestions, or rephrasing to formulate a search query that enhances alignment with the user’s goals.\\n\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"retryOnFail\": true,\n \"typeVersion\": 1.4\n },\n {\n \"id\": \"a1ca671d-0b0c-4717-9def-93fdb965de8d\",\n \"name\": \"Query\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -240,\n -240\n ],\n \"parameters\": {\n \"url\": \"https://api.search.brave.com/res/v1/web/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"sendHeaders\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $json.output.final_search_query }}\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Accept\",\n \"value\": \"application/json\"\n },\n {\n \"name\": \"Accept-Encoding\",\n \"value\": \"gzip\"\n },\n {\n \"name\": \"X-Subscription-Token\",\n \"value\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d3cc4e7c-3ead-4d38-9b51-a11cd9d7faeb\",\n \"name\": \"Webhook Call\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -180,\n 1040\n ],\n \"parameters\": {\n \"url\": \"https://primary-production-8aa4.up.railway.app/webhook-test/962f1468-c80f-4c0c-8555-a0acf648ede4\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"Research Question\",\n \"value\": \"what is the latest news in global world in politics and economy?\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6931404b-94d6-4b9d-9f0a-124012212eb5\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -640,\n 420\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 1180,\n \"height\": 840,\n \"content\": \"## Step 2. Setup the Webhook Call Node\\n\\n**Instructions for Setting Up the Webhook Call and Using It in Your Workflow**\\n\\nThis node is designed to send a **web search query** to the workflow (partly built in this chart) and return the results. Follow these steps to correctly configure and use it:\\n\\n1. **Locate the \\\"Webhook\\\" Node in the Workflow**:\\n - Navigate to the workflow above, the first item, the \\\"Webhook\\\" node.\\n - In the \\\"Webhook\\\" node, change the **Webhook URL option** from \\\"Test URL\\\" to \\\"Production URL.\\\"\\n - Copy the generated **Production URL**.\\n\\n2. **Paste the Webhook URL in the HTTP Node**:\\n - In your target workflow, locate the **HTTP Request** node.\\n - Paste the copied **Production URL** into the URL field of the HTTP Request node. This connects the two workflows.\\n\\n3. **Send the Research Request**:\\n - When sending the request to this workflow, make sure to include your web search query in the **\\\"Research Question\\\" parameter** of the HTTP Request node.\\n\\n4. **Move the Webhook Call Node**:\\n - Move this **Webhook Call Node** into the workflow where you need the research results. Ensure that it’s correctly connected and configured to send the data to the main workflow.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"01d73f91-1dd6-4b80-951c-9f944ea9d992\",\n \"name\": \"Semantic Search -Query Maker\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n -560,\n -240\n ],\n \"parameters\": {\n \"text\": \"=1. **Task:** `\\\"Your task is to develop a web search query that most effectively answers the research question given. Use meta-reasoning and multi-chain analysis to ensure a comprehensive approach.\\\"`\\n\\n2. **Structured Guidance for Chains of Thought:** \\n a. **Chain 1:** Break down the research question, identifying keywords and relevant terms. \\n b. **Chain 2:** Explore the context and potential sources, determining the types of results that would be most relevant. \\n c. **Chain 3:** Refine the query for specificity and completeness, considering how to capture nuances of the question.\\n\\n3. **Final Query Generation:** Based on the insights from the three chains, generate a single, refined search query.\\n\\n\\n4. Note, the queries must not be long tails , as they result in 0 websearch reutrns. We give you some examples of good web search queries:\\nExamples:\\n\\nUser Question: \\\"What is the current state of the U.S. economy in 2024?\\\"\\n\\nEffective Search Query: \\\"U.S. Economy Analysis Report 2024\\\"\\nUser Question: \\\"What are the recent advancements in artificial intelligence?\\\"\\n\\nEffective Search Query: \\\"2024 Artificial Intelligence Developments\\\"\\nUser Question: \\\"How is climate change affecting agriculture globally?\\\"\\n\\nEffective Search Query: \\\"Global Impact of Climate Change on Agriculture 2024\\\"\\nUser Question: \\\"What are the latest trends in cybersecurity threats?\\\"\\n\\nEffective Search Query: \\\"Cybersecurity Threats and Trends 2024\\\"\\nUser Question: \\\"What is the outlook for renewable energy investments?\\\"\\n\\nEffective Search Query: \\\"Renewable Energy Investment Outlook 2024\\\"\\n\\n5. Data Input:\\n - **Today's Date:** \\\"{{ $item(\\\"0\\\").$node[\\\"Date & Time\\\"].json[\\\"currentDate\\\"] }}\\\"\\n **Search Inquiry:** \\n - **Search Topic to create the query upon it:**{{ $item(\\\"0\\\").$node[\\\"Webhook\\\"].json[\\\"query\\\"][\\\"Research Question\\\"] }}\\\"\\\"\\n\\n6. Now develop the best fit web search query given the user request above under number 5\\n---\\n\\n**Output Requirements:** \\nThe Assistant’s output should be in JSON format, structured as follows:\\n\\n{\\n \\\"reasoning_summary\\\": \\\"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\\\",\\n \\\"final_search_query\\\": \\\"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\\\"\\n}\\n```\\n\\n---\\n\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"You are an advanced data and research retrieval through smart search queires via Bing and Brave websearch APIs. \"\n },\n {\n \"type\": \"HumanMessagePromptTemplate\",\n \"message\": \"1. **Task:** `\\\"Your task is to develop a web search query that most effectively answers the research question given. Use meta-reasoning and multi-chain analysis to ensure a comprehensive approach.\\\"`\\n\\n2. **Structured Guidance for Chains of Thought:** \\n a. **Chain 1:** Break down the research question, identifying keywords and relevant terms. \\n b. **Chain 2:** Explore the context and potential sources, determining the types of results that would be most relevant. \\n c. **Chain 3:** Refine the query for specificity and completeness, considering how to capture nuances of the question.\\n\\n3. **Final Query Generation:** Based on the insights from the three chains, generate a single, refined search query.\\n\\n4. Data Input:\\n - **Today's Date:** \\\"2024-11-12T10:21:33.764-05:00\\\"\\n2. **Search Inquiry:** \\n - **Search Topic to create the query upon it:** \\\"What is the latest stock Market Analysis in mid-term?\\\"\\n\\n\\n---\\n\\n**Output Requirements:** \\nThe Assistant’s output should be in JSON format, structured as follows:\\n\\n{\\n \\\"reasoning_summary\\\": \\\"Detailed explanation of each analytical chain’s purpose and insights, including key terms and considerations for query formulation.\\\",\\n \\\"final_search_query\\\": \\\"The single, best-fit search query derived from the meta-reasoning and multi-chain analysis, optimized to answer the research question.\\\"\\n}\\n```\\n\\n---\\n\"\n },\n {\n \"type\": \"AIMessagePromptTemplate\",\n \"message\": \"Assessing query functionality\\n\\nI’m evaluating the viability of the assistant's proposed search query. The user questions if it would yield meaningful results on different search engines.\\n\\nClarifying the query\\n\\nOK, let me see. The task involves clarifying the user's needs, ensuring the response aligns with OpenAI's policies, and possibly re-evaluating and correcting any errors in the previous response.\\n\\nRefining search specifics\\n\\nI'm working through refining the search query to focus on specific terms like 'S&P 500', integrating dates such as 'November 2024', and emphasizing phrases for precision.\\n\\nSelf-reflecting on search queries\\n\\nToday, I’m thinking about how to validate search queries for accuracy and realism, ensuring they are practical and likely to yield productive results.\\n\\nAcknowledging insights\\n\\nI’m recognizing and correcting a search query to ensure it’s optimal and effectively aligned with advanced user needs, leading to a more precise output.\\n\\nCrafting a search query\\n\\nI’m crafting a search query to pinpoint the most pertinent recent mid-term stock market analyses. Starting with relevant terms and then exploring potential sources for context and relevance.\\n\\nPinpointing sources and specifics\\n\\nI'm gathering info from financial news, investment reports, and economic research institutions. I’m refining search terms like \\\"mid-term stock market analysis\\\" and \\\"market forecast\\\" to keep results current and nuanced.\\n\\nCrafting the query\\n\\nI’m finalizing the query by merging terms like 'latest' and 'stock market analysis' with 'mid-term', and considering synonyms such as 'market forecast' to refine the search for 2024.\\n\\nTweaking the search\\n\\nI adjusted the search terms to 'latest stock market mid-term outlook 2024,' removing excessive quotes for better clarity and relevance.\\n\\n\\n{\\n \\\"reasoning_summary\\\": \\\"Chain 1: Broke down the research question to identify key terms such as 'latest', 'stock market analysis', and 'mid-term'. Considered synonyms like 'mid-term outlook', 'market forecast', and included the current year '2024' for recency.\\\\n\\\\nChain 2: Explored the context where the user seeks recent analyses of the stock market with a mid-term perspective. Relevant sources would be financial news outlets, investment banks, and economic research firms. The most useful results would be up-to-date articles or reports offering mid-term forecasts.\\\\n\\\\nChain 3: Refined the query by removing unnecessary quotation marks and simplifying it to reflect how an advanced user might search. Included terms like 'latest', 'mid-term outlook', and '2024' to enhance specificity without limiting the search results unnecessarily.\\\",\\n \\\"final_search_query\\\": \\\"latest stock market mid-term outlook 2024\\\"\\n}\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.4\n },\n {\n \"id\": \"696b4f97-ad29-406b-9157-44ad9d05c9cd\",\n \"name\": \"Anthropic Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatAnthropic\",\n \"position\": [\n 740,\n 180\n ],\n \"parameters\": {\n \"model\": \"claude-3-5-haiku-20241022\",\n \"options\": {\n \"topP\": 0.8,\n \"temperature\": 0.4,\n \"maxTokensToSample\": 4096\n }\n },\n \"credentials\": {\n \"anthropicApi\": {\n \"id\": \"mVKB2CryW6bMm9Qo\",\n \"name\": \"Anthropic account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"82f25610-8b70-4aee-ad90-2616d3389f15\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 900,\n 180\n ],\n \"parameters\": {\n \"options\": {\n \"topP\": 0.7,\n \"maxTokens\": 4096,\n \"maxRetries\": 1,\n \"temperature\": 0.5\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"wQQZLwJO9A5nFu8h\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f230bdf0-4a22-4abf-96cd-47f309f0c514\",\n \"name\": \"Structured Output Parser2\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 260,\n -60\n ],\n \"parameters\": {\n \"jsonSchemaExample\": \"{\\n \\\"chain_of_thought\\\": \\\"Insert your step-by-step reasoning here.\\\",\\n \\\"Highest_RANKEDURL_1\\\": {\\n \\\"title\\\": \\\"Insert the First Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the First Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the First Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_2\\\": {\\n \\\"title\\\": \\\"Insert the Second Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Second Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Second Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_3\\\": {\\n \\\"title\\\": \\\"Insert the Third Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Third Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Third Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_4\\\": {\\n \\\"title\\\": \\\"Insert the Fourth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fourth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fourth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_5\\\": {\\n \\\"title\\\": \\\"Insert the Fifth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Fifth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Fifth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_6\\\": {\\n \\\"title\\\": \\\"Insert the Sixth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Sixth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Sixth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_7\\\": {\\n \\\"title\\\": \\\"Insert the Seventh Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Seventh Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Seventh Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_8\\\": {\\n \\\"title\\\": \\\"Insert the Eighth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Eighth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Eighth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_9\\\": {\\n \\\"title\\\": \\\"Insert the Ninth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Ninth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Ninth Ranked URL's Description here.\\\"\\n },\\n \\\"Highest_RANKEDURL_10\\\": {\\n \\\"title\\\": \\\"Insert the Tenth Ranked URL's Title here.\\\",\\n \\\"link\\\": \\\"Insert the Tenth Ranked URL here.\\\",\\n \\\"description\\\": \\\"Insert the Tenth Ranked URL's Description here.\\\"\\n },\\n \\\"Information_extracted\\\": \\\"Insert all extracted information relevant to the user's query or 'N/A' if none.\\\"\\n}\\n\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"3421ebe5-6a86-435e-b9c6-e3dcf6dd7833\",\n \"name\": \"Parser Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n -180,\n 180\n ],\n \"parameters\": {\n \"options\": {\n \"topP\": 0.6,\n \"temperature\": 0.4,\n \"maxOutputTokens\": 4096\n },\n \"modelName\": \"models/gemini-1.5-flash-002\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"rTbWGMQGwWtjhNaA\",\n \"name\": \"Google Gemini(PaLM) Api account 4\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fd19e9f6-d8c7-45df-93d9-ecf7956b461f\",\n \"name\": \"Agent Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n -180,\n -20\n ],\n \"parameters\": {\n \"options\": {\n \"topP\": 0.6,\n \"temperature\": 0.4,\n \"safetySettings\": {\n \"values\": [\n {\n \"category\": \"HARM_CATEGORY_HARASSMENT\",\n \"threshold\": \"BLOCK_NONE\"\n },\n {\n \"category\": \"HARM_CATEGORY_HATE_SPEECH\",\n \"threshold\": \"BLOCK_NONE\"\n },\n {\n \"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\",\n \"threshold\": \"BLOCK_NONE\"\n },\n {\n \"category\": \"HARM_CATEGORY_DANGEROUS_CONTENT\",\n \"threshold\": \"BLOCK_NONE\"\n }\n ]\n },\n \"maxOutputTokens\": 4086\n },\n \"modelName\": \"models/gemini-1.5-flash-002\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"rTbWGMQGwWtjhNaA\",\n \"name\": \"Google Gemini(PaLM) Api account 4\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"156e83ff-928a-4aca-af8b-0c0fa51acd56\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 560,\n -20\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 712,\n \"height\": 370,\n \"content\": \"\\n## Customized Models to Replace\\n\\nIn case you rather to use another LLM Model to Perform the Semantic Search and Re-Ranking, These nodes below are Optimized based on the LLM Structure of OpenAI GPT4o & Anthropic Claude.\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"b824ca9d-5676-4ca5-b97d-e5113d955de2\",\n \"connections\": {\n \"Query\": {\n \"main\": [\n [\n {\n \"node\": \"Query-1 Combined\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Date & Time\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Agent Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Semantic Search -Query Maker\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Date & Time\": {\n \"main\": [\n [\n {\n \"node\": \"Semantic Search -Query Maker\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parser Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Auto-fixing Output Parser6\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Auto-fixing Output Parser\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Query-1 Combined\": {\n \"main\": [\n [\n {\n \"node\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n []\n ]\n },\n \"Anthropic Chat Model\": {\n \"ai_languageModel\": [\n []\n ]\n },\n \"Auto-fixing Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Semantic Search -Query Maker\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser1\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Auto-fixing Output Parser\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser2\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Auto-fixing Output Parser6\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Auto-fixing Output Parser6\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Semantic Search - Result Re-Ranker\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Semantic Search -Query Maker\": {\n \"main\": [\n [\n {\n \"node\": \"Query\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Semantic Search - Result Re-Ranker\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Intelligent Web Query and Semantic Re-Ranking Flow", "node_count": 20, "category": "AI & LLM + Webhooks"}} {"prompt": "Design a workflow using n8n-nodes-base.noOp, n8n-nodes-base.splitOut, n8n-nodes-base.emailSend to learn anything from hn get top resource recommendations from hacker news", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 10\n- Node Types: n8n-nodes-base.noOp, n8n-nodes-base.splitOut, n8n-nodes-base.emailSend, n8n-nodes-base.hackerNews, n8n-nodes-base.aggregate, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chainLlm, n8n-nodes-base.formTrigger, n8n-nodes-base.markdown, @n8n/n8n-nodes-langchain.lmChatGoogleGemini\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n4. **Actions**: n8n-nodes-base.emailSend\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"41183066-0045-4a75-ba23-42f4efcfeccc\",\n \"name\": \"Google Gemini Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n 720,\n 720\n ],\n \"parameters\": {\n \"options\": {},\n \"modelName\": \"models/gemini-1.5-flash\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"Hx1fn2jrUvojSKye\",\n \"name\": \"Google Gemini(PaLM) Api account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eb061c39-7a4d-42e7-bb42-806504731b11\",\n \"name\": \"Basic LLM Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 700,\n 560\n ],\n \"parameters\": {\n \"text\": \"=Your Task is to find the best resources to learn {{ $('GetTopicFromToLearn').item.json[\\\"I want to learn\\\"] }}. \\n\\nI have scraped the HackerNews and The following is the list of comments from HackerNews on topic about Learning {{ $('GetTopicFromToLearn').item.json[\\\"I want to learn\\\"] }}\\n\\n\\nFocus only on comments that provide any resouces or advice or insight about learning {{ $('GetTopicFromToLearn').item.json.Learn }}. Ignore all other comments that are off topic discussions.\\n\\nNow based on these comments, you need to find the top resources and list them. \\n\\nCategorize them based on resource type (course, book, article, youtube videos, lectures, etc) and also figure out the difficultiy level (beginner, intermediate, advanced, expert).\\n\\nYou don't always to have fill in these categories exactly, these are given here for reference. Use your intution to find the best categorization.\\n\\nNow based on these metrics and running a basic sentiment analysis on comments you need to figure out what the top resources are. \\n\\nRespond back in Markdown formatted text. In the following format\\n\\n**OUTPUT FORMAT**\\n\\n```\\n\\n## Top HN Recomended Resources To Learn \\n\\n### Category 1\\n\\n- **Resource 1** - One line description\\n- **Resource 2** - One line description\\n- ... \\n\\n \\n\\n### Category 2\\n\\n- **Resource 1** - One line description\\n- **Resource 2** - One line description\\n- ... \\n\\n \\n\\n...\\n```\\n\\nHere is the list of HackerNews Comments.\\n\\n{{ $json.text }}\",\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"94073fe0-d25c-421e-9c99-67b6c4f0afad\",\n \"name\": \"SearchAskHN\",\n \"type\": \"n8n-nodes-base.hackerNews\",\n \"position\": [\n -160,\n 560\n ],\n \"parameters\": {\n \"limit\": 150,\n \"resource\": \"all\",\n \"additionalFields\": {\n \"tags\": [\n \"ask_hn\"\n ],\n \"keyword\": \"={{ $json[\\\"I want to learn\\\"] }}\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eee4dfdf-53ab-42be-91ae-7b6c405df7c2\",\n \"name\": \"FindHNComments\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 260,\n 560\n ],\n \"parameters\": {\n \"url\": \"=https://hacker-news.firebaseio.com/v0/item/{{ $json.children }}.json?print=pretty\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e57d86ae-d7c1-4354-9e3c-528c76160cd9\",\n \"name\": \"CombineIntoSingleText\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 480,\n 560\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"text\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b2086d29-1de5-48f4-8c1e-affd509fb5f7\",\n \"name\": \"SplitOutChildrenIDs\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 40,\n 560\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"children\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6fe68a4b-744b-48c8-9320-d2b19e3eb92b\",\n \"name\": \"GetTopicFromToLearn\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n -340,\n 560\n ],\n \"webhookId\": \"4524d82f-86a6-4fab-ba09-1d24001e15f3\",\n \"parameters\": {\n \"options\": {\n \"path\": \"learn\",\n \"buttonLabel\": \"Submit\",\n \"respondWithOptions\": {\n \"values\": {\n \"formSubmittedText\": \"We'll shortly send you an email with top recommendations.\"\n }\n }\n },\n \"formTitle\": \"What do You want to learn ?\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"I want to learn\",\n \"placeholder\": \"Python, DevOps, Ai, or just about anything\"\n },\n {\n \"fieldType\": \"email\",\n \"fieldLabel\": \"What's your email ?\",\n \"placeholder\": \"john.doe@example.com\",\n \"requiredField\": true\n }\n ]\n },\n \"formDescription\": \"We'll find the best resources from HackerNews and send you an email\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"72fcb7f3-6706-47cc-8a79-364b325aa8ae\",\n \"name\": \"SendEmailWithTopResources\",\n \"type\": \"n8n-nodes-base.emailSend\",\n \"position\": [\n 1320,\n 560\n ],\n \"parameters\": {\n \"html\": \"=FYI, We read through {{ $('SplitOutChildrenIDs').all().length }} comments in search for the best.\\n\\n{{ $json.data }}\",\n \"options\": {},\n \"subject\": \"=Here are Top HN Recommendations for Learning {{ $('GetTopicFromToLearn').item.json[\\\"I want to learn\\\"] }}\",\n \"toEmail\": \"={{ $('GetTopicFromToLearn').item.json[\\\"What's your email ?\\\"] }}\",\n \"fromEmail\": \"allsmallnocaps@gmail.com\"\n },\n \"credentials\": {\n \"smtp\": {\n \"id\": \"knhWxmnfY16ZQwBm\",\n \"name\": \"allsamll Gmail SMTP account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"b4d50b42-9e40-46b0-a411-90210b422de3\",\n \"name\": \"Convert2HTML\",\n \"type\": \"n8n-nodes-base.markdown\",\n \"position\": [\n 1100,\n 560\n ],\n \"parameters\": {\n \"mode\": \"markdownToHtml\",\n \"options\": {},\n \"markdown\": \"={{ $json.text }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b79e867a-ea3b-4a94-9809-b5a01ee2820f\",\n \"name\": \"Finished\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 1540,\n 560\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"SearchAskHN\": {\n \"main\": [\n [\n {\n \"node\": \"SplitOutChildrenIDs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert2HTML\": {\n \"main\": [\n [\n {\n \"node\": \"SendEmailWithTopResources\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"FindHNComments\": {\n \"main\": [\n [\n {\n \"node\": \"CombineIntoSingleText\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Basic LLM Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Convert2HTML\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"GetTopicFromToLearn\": {\n \"main\": [\n [\n {\n \"node\": \"SearchAskHN\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SplitOutChildrenIDs\": {\n \"main\": [\n [\n {\n \"node\": \"FindHNComments\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"CombineIntoSingleText\": {\n \"main\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Gemini Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Basic LLM Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SendEmailWithTopResources\": {\n \"main\": [\n [\n {\n \"node\": \"Finished\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Learn Anything from HN - Get Top Resource Recommendations from Hacker News", "node_count": 10, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 19\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.code, n8n-nodes-base.markdown\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"5NAbfX550LJsfz6f\",\n \"meta\": {\n \"instanceId\": \"00493e38fecfc163cb182114bc2fab90114038eb9aad665a7a752d076920d3d5\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Make OpenAI Citation for File Retrieval RAG\",\n \"tags\": [\n {\n \"id\": \"urxRtGxxLObZWPvX\",\n \"name\": \"sample\",\n \"createdAt\": \"2024-09-13T02:43:13.014Z\",\n \"updatedAt\": \"2024-09-13T02:43:13.014Z\"\n },\n {\n \"id\": \"nMXS3c9l1WqDwWF5\",\n \"name\": \"assist\",\n \"createdAt\": \"2024-12-23T16:09:38.737Z\",\n \"updatedAt\": \"2024-12-23T16:09:38.737Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"b9033511-3421-467a-9bfa-73af01b99c4f\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 740,\n 120\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"a61dd9d3-4faa-4878-a6f3-ba8277279002\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 980,\n -320\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"2daabca5-37ec-4cad-9157-29926367e1a7\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 220,\n 320\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 840,\n \"height\": 80,\n \"content\": \"## Within N8N, there will be a chat button to test\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bf4485b1-cd94-41c8-a183-bf1b785f2761\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -440,\n -520\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 500,\n \"height\": 720,\n \"content\": \"## Make OpenAI Citation for File Retrieval RAG\\n\\n## Use case\\n\\nIn this example, we will ensure that all texts from the OpenAI assistant search for citations and sources in the vector store files. We can also format the output for Markdown or HTML tags.\\n\\nThis is necessary because the assistant sometimes generates strange characters, and we can also use dynamic references such as citations 1, 2, 3, for example.\\n\\n## What this workflow does\\n\\nIn this workflow, we will use an OpenAI assistant created within their interface, equipped with a vector store containing some files for file retrieval.\\n\\nThe assistant will perform the file search within the OpenAI infrastructure and will return the content with citations.\\n\\n- We will make an HTTP request to retrieve all the details we need to format the text output.\\n\\n## Setup\\n\\nInsert an OpenAI Key\\n\\n## How to adjust it to your needs\\n\\nAt the end of the workflow, we have a block of code that will format the output, and there we can add Markdown tags to create links. Optionally, we can transform the Markdown formatting into HTML.\\n\\n\\nby Davi Saranszky Mesquita\\nhttps://www.linkedin.com/in/mesquitadavi/\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"539a4e40-9745-4a26-aba8-2cc2b0dd6364\",\n \"name\": \"Create a simple Trigger to have the Chat button within N8N\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"notes\": \"https://www.npmjs.com/package/@n8n/chat\",\n \"position\": [\n 260,\n -520\n ],\n \"webhookId\": \"8ccaa299-6f99-427b-9356-e783893a3d0c\",\n \"parameters\": {\n \"options\": {}\n },\n \"notesInFlow\": true,\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"aa5b2951-df32-43ac-9939-83b02d818e73\",\n \"name\": \"OpenAI Assistant with Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 580,\n -520\n ],\n \"parameters\": {\n \"options\": {\n \"preserveOriginalTools\": false\n },\n \"resource\": \"assistant\",\n \"assistantId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"asst_QAfdobVCVCMJz8LmaEC7nlId\",\n \"cachedResultName\": \"Teste\"\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"UfNrqPCRlD8FD9mk\",\n \"name\": \"OpenAi Lourival\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"1817b673-6cb3-49aa-9f38-a5876eb0e6fa\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 560,\n -680\n ],\n \"parameters\": {\n \"width\": 300,\n \"content\": \"## Setup\\n\\n- Configure OpenAI Key\\n\\n### In this step, we will use an assistant created within the OpenAI platform that contains a vector store a.k.a file retrieval\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"16429226-e850-4698-b419-fd9805a03fb7\",\n \"name\": \"Get ALL Thread Content\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1260,\n -520\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json.threadId }}/messages\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"UfNrqPCRlD8FD9mk\",\n \"name\": \"OpenAi Lourival\"\n }\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"e8c88b08-5be2-4f7e-8b17-8cf804b3fe9f\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1160,\n -620\n ],\n \"parameters\": {\n \"content\": \"### Retrieving all thread content is necessary because the OpenAI tool does not retrieve all citations upon request.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0f51e09f-2782-4e2d-b797-d4d58fcabdaf\",\n \"name\": \"Split all message iterations from a thread\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 220,\n -300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"4d569993-1ce3-4b32-beaf-382feac25da9\",\n \"name\": \"Split all content from a single message\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 460,\n -300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"content\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"999e1c2b-1927-4483-aac1-6e8903f7ed25\",\n \"name\": \"Split all citations from a single message\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 700,\n -300\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"text.annotations\"\n },\n \"typeVersion\": 1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"98af62f5-adb0-4e07-a146-fc2f13b851ce\",\n \"name\": \"Retrieve file name from a file ID\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 220,\n 120\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/files/{{ $json.file_citation.file_id }}\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"limit\",\n \"value\": \"1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"UfNrqPCRlD8FD9mk\",\n \"name\": \"OpenAi Lourival\"\n }\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"b11f0d3d-bdc4-4845-b14b-d0b0de214f01\",\n \"name\": \"Regularize output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 480,\n 120\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"2dcaafee-5037-4a97-942a-bcdd02bc2ad9\",\n \"name\": \"id\",\n \"type\": \"string\",\n \"value\": \"={{ $json.id }}\"\n },\n {\n \"id\": \"b63f967d-ceea-4aa8-98b9-91f5ab21bfe8\",\n \"name\": \"filename\",\n \"type\": \"string\",\n \"value\": \"={{ $json.filename }}\"\n },\n {\n \"id\": \"f611e749-054a-441d-8610-df8ba42de2e1\",\n \"name\": \"text\",\n \"type\": \"string\",\n \"value\": \"={{ $('Split all citations from a single message').item.json.text }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"0e999a0e-76ed-4897-989b-228f075e9bfb\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 440,\n -60\n ],\n \"parameters\": {\n \"width\": 200,\n \"height\": 220,\n \"content\": \"### A file retrieval request contains a lot of information, and we want only the text that will be substituted and the file name.\\n\\n- id\\n- filename\\n- text\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"53c79a6c-7543-435f-b40e-966dff0904d4\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n -60\n ],\n \"parameters\": {\n \"width\": 200,\n \"height\": 220,\n \"content\": \"### With the last three splits, we may have many citations and texts to substitute. By doing an aggregation, it will be possible to handle everything as a single request.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"381fb6d6-64fc-4668-9d3c-98aaa43a45ca\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 960,\n -60\n ],\n \"parameters\": {\n \"height\": 220,\n \"content\": \"### This simple code will take all the previous files and citations and alter the original text, formatting the output. In this way, we can use Markdown tags to create links, or if you prefer, we can add an HTML transformation node.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d0cbb943-57ab-4850-8370-1625610a852a\",\n \"name\": \"Optional Markdown to HTML\",\n \"type\": \"n8n-nodes-base.markdown\",\n \"disabled\": true,\n \"position\": [\n 1220,\n 120\n ],\n \"parameters\": {\n \"html\": \"={{ $json.output }}\",\n \"options\": {},\n \"destinationKey\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"589e2418-5dec-47d0-ba08-420d84f09da7\",\n \"name\": \"Finnaly format the output\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 980,\n 120\n ],\n \"parameters\": {\n \"mode\": \"runOnceForEachItem\",\n \"jsCode\": \"let saida = $('OpenAI Assistant with Vector Store').item.json.output;\\n\\nfor (let i of $input.item.json.data) {\\n saida = saida.replaceAll(i.text, \\\" _(\\\"+ i.filename+\\\")_ \\\");\\n}\\n\\n$input.item.json.output = saida;\\nreturn $input.item;\"\n },\n \"typeVersion\": 2\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"0e621a5a-d99d-4db3-9ae4-ea98c31467e9\",\n \"connections\": {\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Finnaly format the output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Regularize output\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"OpenAI Assistant with Vector Store\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ALL Thread Content\": {\n \"main\": [\n [\n {\n \"node\": \"Split all message iterations from a thread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Finnaly format the output\": {\n \"main\": [\n [\n {\n \"node\": \"Optional Markdown to HTML\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve file name from a file ID\": {\n \"main\": [\n [\n {\n \"node\": \"Regularize output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Assistant with Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"Get ALL Thread Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split all content from a single message\": {\n \"main\": [\n [\n {\n \"node\": \"Split all citations from a single message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split all citations from a single message\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve file name from a file ID\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split all message iterations from a thread\": {\n \"main\": [\n [\n {\n \"node\": \"Split all content from a single message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create a simple Trigger to have the Chat button within N8N\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI Assistant with Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Make OpenAI Citation for File Retrieval RAG", "node_count": 19, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for open deep research ai powered autonomous research workflow", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.toolWikipedia, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.lmChatOpenRouter, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"WLSqXECfQF7rOj2A\",\n \"meta\": {\n \"instanceId\": \"cba4a4a2eb5d7683330e2944837278938831ed3c042e20da6f5049c07ad14798\"\n },\n \"name\": \"Open Deep Research - AI-Powered Autonomous Research Workflow\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"b7b70ba1-0267-4d2b-91f4-5cc4fd22fd03\",\n \"name\": \"Chat Message Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n -1940,\n 160\n ],\n \"webhookId\": \"cb0b9dbe-1f35-441a-b062-29624b0ebc6a\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"55a8a512-f2d4-4aed-93e5-dd9bfa2dcaad\",\n \"name\": \"Generate Search Queries using LLM\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n -1760,\n 160\n ],\n \"parameters\": {\n \"text\": \"=User Query: {{ $('Chat Message Trigger').item.json.chatInput }}\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=You are an expert research assistant. Given a user's query, generate up to four distinct, precise search queries that would help gather comprehensive information on the topic. Return only a JSON list of strings, for example: ['query1', 'query2', 'query3'].\"\n }\n ]\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"5f92361a-b490-479d-8360-c87a100b470e\",\n \"name\": \"LLM Response Provider (OpenRouter)\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenRouter\",\n \"position\": [\n -1760,\n 700\n ],\n \"parameters\": {\n \"model\": \"google/gemini-2.0-flash-001\",\n \"options\": {}\n },\n \"credentials\": {\n \"openRouterApi\": {\n \"id\": \"WZWYWCfluxuKxZzV\",\n \"name\": \"OpenRouter account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4ab360eb-858f-48b8-a00d-71867d4f0c93\",\n \"name\": \"Parse and Chunk JSON Data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -1420,\n 160\n ],\n \"parameters\": {\n \"jsCode\": \"// Parse the input JSON string and split it into four chunks\\nconst rawText = $json.text;\\n\\n// Remove Markdown JSON code blocks if present\\nconst cleanedText = rawText.replace(/```json|```/g, '').trim();\\n\\ntry {\\n const jsonArray = JSON.parse(cleanedText);\\n if (!Array.isArray(jsonArray)) {\\n throw new Error('The JSON is not an array.');\\n }\\n const chunkSize = Math.ceil(jsonArray.length / 4);\\n const chunks = [];\\n for (let i = 0; i < jsonArray.length; i += chunkSize) {\\n chunks.push(jsonArray.slice(i, i + chunkSize));\\n }\\n return chunks.map(chunk => ({ json: { chunk } }));\\n} catch (error) {\\n return [{ json: { error: error.message } }];\\n}\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"5a3ac393-8355-449f-93cb-b98e8bee9b80\",\n \"name\": \"Perform SerpAPI Search Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -780,\n 180\n ],\n \"parameters\": {\n \"url\": \"https://serpapi.com/search\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"q\",\n \"value\": \"={{ $('Parse and Chunk JSON Data').item.json.chunk }}\"\n },\n {\n \"name\": \"api_key\",\n \"value\": \"={{ $credentials.SerpAPI.key }}\"\n },\n {\n \"name\": \"engine\",\n \"value\": \"google\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"dad82469-830d-40fb-9f6b-b9fefef41267\",\n \"name\": \"Perform Jina AI Analysis Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 80,\n 160\n ],\n \"parameters\": {\n \"url\": \"=https://r.jina.ai/{{ $json.url }}\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"iseKF5sPsvwtJhgT\",\n \"name\": \"Jina AI\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e21bbdf6-a903-491e-920c-ef7576f9ce80\",\n \"name\": \"Format SerpAPI Organic Results\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n -460,\n 140\n ],\n \"parameters\": {\n \"jsCode\": \"// Format the organic search results from SerpAPI\\nconst results = $input.first().json.organic_results;\\nif (results.length === 0) {\\n return [{ json: { error: 'No search results found.' } }];\\n}\\nconst formattedResults = results.map(result => ({\\n title: result.title || 'No title available',\\n url: result.link || 'No link available',\\n source: result.source || result.displayed_link || 'Unknown source'\\n}));\\nreturn formattedResults.map(result => ({ json: result }));\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"a856c8e8-5c3c-4a2f-9086-66deee1afd06\",\n \"name\": \"Extract Relevant Context via LLM\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n -1280,\n 520\n ],\n \"parameters\": {\n \"text\": \"=User Queries: {{ $('Parse and Chunk JSON Data').all().map(item => item.json.chunk[0]).join(', ') }}\\nWebpage Contents: \\n\\\"\\\"\\\"\\n{{ $json.data }}\\n\\\"\\\"\\\"\",\n \"options\": {\n \"systemMessage\": \"=You are an expert information extractor. Given the user's query, the search query that led to this page, and the webpage content, extract all relevant pieces of information that are useful to answer the query. Return only the relevant context as plain text without any additional commentary.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"6d5c6698-0b4f-438c-91b9-3597f5d3e904\",\n \"name\": \"Generate Comprehensive Research Report\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n -740,\n 520\n ],\n \"parameters\": {\n \"text\": \"=Extracted Contexts (Merged):\\n\\\"\\\"\\\"\\n{{ $json.output }}\\n\\\"\\\"\\\"\",\n \"options\": {\n \"systemMessage\": \"You are an expert researcher and report writer. Based on the gathered contexts and the original user query, generate a comprehensive, well-structured report. Include all relevant insights and conclusions without unnecessary commentary.\\n\\nFormat the report in Markdown with clear headings. For example:\\n\\n# Research Report: [User Query]\\n\\n## Key Findings\\n- Point 1\\n- Point 2\\n\\n## Detailed Analysis\\n### Aspect 1\\nSummary of findings.\\n_Source:_ [Source Name](URL)\\n\\n### Aspect 2\\nSummary of findings.\\n_Source:_ [Another Source](URL)\\n\\nNow, generate the complete report.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"05fea6a1-791e-4980-8f2a-2960455066d7\",\n \"name\": \"Split Data for SerpAPI Batching\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -1100,\n 160\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"df00e7e8-99b8-484a-8047-869474fefee9\",\n \"name\": \"Split Data for Jina AI Batching\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -220,\n 140\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"2edc683b-65f7-40c3-a22d-7fbf5b67de0a\",\n \"name\": \"LLM Memory Buffer (Input Context)\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n -1160,\n 740\n ],\n \"parameters\": {\n \"sessionKey\": \"my_test_session\",\n \"sessionIdType\": \"customKey\",\n \"contextWindowLength\": 20\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"23017ae7-72a7-45c7-8edf-d0ba72220675\",\n \"name\": \"LLM Memory Buffer (Report Context)\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n -620,\n 760\n ],\n \"parameters\": {\n \"sessionKey\": \"my_test_session\",\n \"sessionIdType\": \"customKey\",\n \"contextWindowLength\": 20\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"6bc9533b-e265-47b3-b93a-3a4f86ba0541\",\n \"name\": \"Fetch Wikipedia Information\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWikipedia\",\n \"position\": [\n -580,\n 920\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b25c148e-047d-40a7-8818-94c3504828dd\",\n \"name\": \"Sticky Note: SerpAPI Setup\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -940,\n -20\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 420,\n \"height\": 140,\n \"content\": \"## SerpAPI Setup Instructions\\n1. Obtain your API key from https://serpapi.com/manage-api-key.\\n2. Save your API key securely in n8n credentials (do not use plain text).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e69c9a85-31e4-42b9-a09a-683ec5bb97d1\",\n \"name\": \"Sticky Note: Jina AI Setup\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -60,\n -40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 420,\n \"height\": 140,\n \"content\": \"## Jina AI Setup Instructions\\n1. Obtain your API key from https://jina.ai/api-dashboard/key-manager.\\n2. Configure your Jina AI credential in n8n to ensure secure API access.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"dbd204e0-da8e-41d8-814b-f409a23e9573\",\n \"name\": \"Sticky Note: OpenRouter API Setup\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1680,\n 460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 300,\n \"height\": 180,\n \"content\": \"## OpenRouter API Setup Instructions\\n1. Obtain your API key from https://openrouter.ai/settings/keys.\\n2. Set up your OpenRouter credential in n8n for secure integration.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"aa857bb3-84c1-4fe6-9464-90fc09163960\",\n \"connections\": {\n \"Chat Message Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Search Queries using LLM\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse and Chunk JSON Data\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for SerpAPI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch Wikipedia Information\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Format SerpAPI Organic Results\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for Jina AI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Perform SerpAPI Search Request\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for SerpAPI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Data for Jina AI Batching\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Relevant Context via LLM\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Perform Jina AI Analysis Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Data for SerpAPI Batching\": {\n \"main\": [\n [\n {\n \"node\": \"Format SerpAPI Organic Results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Perform SerpAPI Search Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Relevant Context via LLM\": {\n \"main\": [\n [\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Perform Jina AI Analysis Request\": {\n \"main\": [\n [\n {\n \"node\": \"Split Data for Jina AI Batching\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Generate Search Queries using LLM\": {\n \"main\": [\n [\n {\n \"node\": \"Parse and Chunk JSON Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LLM Memory Buffer (Input Context)\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Extract Relevant Context via LLM\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LLM Memory Buffer (Report Context)\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"LLM Response Provider (OpenRouter)\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Generate Search Queries using LLM\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Extract Relevant Context via LLM\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n },\n {\n \"node\": \"Generate Comprehensive Research Report\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Open Deep Research - AI-Powered Autonomous Research Workflow", "node_count": 17, "category": "General Automation"}} {"prompt": "How would you build: Query Perplexity Ai From Your N8N Workflows?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 6\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"293b70f0-06e8-4db5-befd-bfaed1f3575a\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -460,\n 80\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"1c473546-6280-412d-9f8e-b43962365d78\",\n \"name\": \"Set Params\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -160,\n -60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"8b5c6ca0-5ca8-4f67-abc1-44341cf419bc\",\n \"name\": \"system_prompt\",\n \"type\": \"string\",\n \"value\": \"You are an n8n fanboy.\"\n },\n {\n \"id\": \"7c36c362-6269-4564-b6fe-f82126bc8f5e\",\n \"name\": \"user_prompt\",\n \"type\": \"string\",\n \"value\": \"What are the differences between n8n and Make?\"\n },\n {\n \"id\": \"4366d2b5-ad22-445a-8589-fddab1caa1ab\",\n \"name\": \"domains\",\n \"type\": \"string\",\n \"value\": \"n8n.io, make.com\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"894bd6a4-5db7-45fb-a8e0-1a81af068bbf\",\n \"name\": \"Clean Output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 580,\n -100\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5859093c-6b22-41db-ac6c-9a9f6f18b7e3\",\n \"name\": \"output\",\n \"type\": \"string\",\n \"value\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"id\": \"13208fff-5153-45a7-a1cb-fe49e32d9a03\",\n \"name\": \"citations\",\n \"type\": \"array\",\n \"value\": \"={{ $json.citations }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"52d3a832-8c9b-4356-ad2a-377340678a58\",\n \"name\": \"Perplexity Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 240,\n 40\n ],\n \"parameters\": {\n \"url\": \"https://api.perplexity.ai/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"sonar\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"system\\\",\\n \\\"content\\\": \\\"{{ $json.system_prompt }}\\\"\\n },\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"{{ $json.user_prompt }}\\\"\\n }\\n ],\\n \\\"temperature\\\": 0.2,\\n \\\"top_p\\\": 0.9,\\n \\\"search_domain_filter\\\": {{ (JSON.stringify($json.domains.split(','))) }},\\n \\\"return_images\\\": false,\\n \\\"return_related_questions\\\": false,\\n \\\"search_recency_filter\\\": \\\"month\\\",\\n \\\"top_k\\\": 0,\\n \\\"stream\\\": false,\\n \\\"presence_penalty\\\": 0,\\n \\\"frequency_penalty\\\": 1,\\n \\\"response_format\\\": null\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpBasicAuth\": {\n \"id\": \"yEocL0NSpUWzMsHG\",\n \"name\": \"Perplexity\"\n },\n \"httpHeaderAuth\": {\n \"id\": \"TngzgS09J1YvLIXl\",\n \"name\": \"Perplexity\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"48657f2c-d1dd-4d7e-8014-c27748e63e58\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n -440\n ],\n \"parameters\": {\n \"width\": 480,\n \"height\": 300,\n \"content\": \"## Credentials Setup\\n\\n1/ Go to the perplexity dashboard, purchase some credits and create an API Key\\n\\nhttps://www.perplexity.ai/settings/api\\n\\n2/ In the perplexity Request node, use Generic Credentials, Header Auth. \\n\\nFor the name, use the value \\\"Authorization\\\"\\nAnd for the value \\\"Bearer pplx-e4...59ea\\\" (Your Perplexity Api Key)\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e0daabee-c145-469e-93c2-c759c303dc2a\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 100,\n 260\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 480,\n \"height\": 120,\n \"content\": \"**Sonar Pro** is the current top model used by perplexity. \\nIf you want to use a different one, check this page: \\n\\nhttps://docs.perplexity.ai/guides/model-cards\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Set Params\": {\n \"main\": [\n [\n {\n \"node\": \"Perplexity Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Perplexity Request\": {\n \"main\": [\n [\n {\n \"node\": \"Clean Output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Params\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Query Perplexity AI from your n8n workflows", "node_count": 6, "category": "General Automation"}} {"prompt": "How would you build: Reconcile Rent Payments With Local Excel Spreadsheet And Openai?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.toolCode, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.code, n8n-nodes-base.readWriteFile\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.localFileTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e\"\n },\n \"nodes\": [\n {\n \"id\": \"bebbf9cf-8103-4694-a3be-ae3ee1e9ebaf\",\n \"name\": \"Watch For Bank Statements\",\n \"type\": \"n8n-nodes-base.localFileTrigger\",\n \"position\": [\n 780,\n 400\n ],\n \"parameters\": {\n \"path\": \"/home/node/host_mount/reconciliation_project\",\n \"events\": [\n \"add\"\n ],\n \"options\": {\n \"ignored\": \"!**/*.csv\"\n },\n \"triggerOn\": \"folder\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"eca26bed-ba44-4507-97d4-9154e26908a5\",\n \"name\": \"Get Tenant Details\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCode\",\n \"position\": [\n 1660,\n 540\n ],\n \"parameters\": {\n \"name\": \"get_tenant_details\",\n \"jsCode\": \"const xlsx = require('xlsx');\\n\\nconst { spreadsheet_location } = $('Set Variables').item.json;\\nconst sheetName = 'tenants';\\n\\nconst wb = xlsx.readFile(spreadsheet_location, { sheets: [sheetName] });\\nconst rows = xlsx.utils.sheet_to_json(wb.Sheets[sheetName], { raw: false });\\n\\nconst queryToList = [].concat(typeof query === 'string' ? query.split(',') : query);\\n\\nconst result = queryToList.map(q => (\\n rows.find(row =>\\n row['Tenant Name'].toLowerCase() === q.toLowerCase()\\n || row['Tenant ID'].toLowerCase() === q.toString().toLowerCase()\\n )\\n));\\n\\nreturn result ? JSON.stringify(result) : `No results were found for ${query}`;\",\n \"description\": \"Call this tool to get a tenant's details which includes their tenancy terms, rent amount and any notes attached to their account. Pass in one or an array of either the tenant ID or the name of the tenant.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"76b68c2f-8d33-4f61-a442-732e784b733a\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1920,\n 540\n ],\n \"parameters\": {\n \"jsonSchemaExample\": \"[{\\n \\\"tenant_id\\\": \\\"\\\",\\n \\\"tenant_name\\\": \\\"\\\",\\n \\\"property_id\\\": \\\"\\\",\\n \\\"property_postcode\\\": \\\"\\\",\\n \\\"action_required\\\": \\\"\\\",\\n \\\"details\\\": \\\"\\\",\\n \\\"date\\\": \\\"\\\"\\n}]\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"be01720f-4617-4a2b-aaed-2474f9f0e25b\",\n \"name\": \"Get Bank Statement File\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1100,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"={{ $('Watch For Bank Statements').item.json.path }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2aba5f6a-56b0-411f-9124-33025d90e325\",\n \"name\": \"Get CSV Data\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 1260,\n 400\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a60d5851-f938-4696-855b-1f0845ffbc6c\",\n \"name\": \"Alert Actions To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 2260,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f804d9fb-f679-4e95-b70f-722e7c222c40\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 690.6721905682555,\n 177.80249392766257\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 748.2548372021405,\n \"height\": 457.6238063670572,\n \"content\": \"## Step 1. Wait For Incoming Bank Statements\\n[Read more about the local file triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.localfiletrigger)\\n\\nFor this demo, we'll show that n8n is more than capable working with the local filesystem. This gives great benefits in terms of privacy and data security.\\n\\nFor our datastore, we're using a locally hosted XLSX Excel file which we'll query and update throughout this workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"01e9c335-320c-4fff-9ade-ad1cf808db00\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1460,\n 80\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 634.3165117416636,\n \"height\": 675.2455596085985,\n \"content\": \"## Step 2. Delegate to AI Agent to Quickly Identify Issues with Rental Payments\\n[Read more about AI Agents](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\\n\\nAn AI agent can not only check against agreed amounts and compare due dates but also consider contract exceptions and tenant notes before deciding to take action. In a scenario of 10+ of tenants, this can save a lot of admin time.\\n\\nFor this demo, we're using a remote LLM Model but this can easily be swapped out for other self-hosted LLMS models that support function calling.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2456b1e5-ceec-45c3-91a7-52e21125e6e5\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2120,\n 143.8836673253448\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 618.3293247808133,\n \"height\": 473.7439917476675,\n \"content\": \"## Step 3. Generate a Report to Action any Issues\\n[Read more about using the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code)\\n\\nAfter the AI Agent has helped identify issues to action, we can generate a report and update a locally hosted xlsx file. This again helps keep workflows private to nothing senstive goes over the wire.\\n\\nThough n8n lacks a builtin node for editing local xlsx file, we can tap into the sheetJS library available to the \\\"Code\\\" node.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b32e8f9-b543-47e1-a08e-53ee47105966\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 260,\n 80\n ],\n \"parameters\": {\n \"width\": 399.5148533727183,\n \"height\": 558.2628336538015,\n \"content\": \"## Try It Out!\\n### This workflow ingests bank statements to analyses them against a list of tenants using an AI Agent. The agent then flags any issues such as missing payments or incorrect amounts which are exported to a XLSX spreadsheet.\\n\\n### Note: This workflow is intended to work with a self-hosted version of n8n and has access to the local file system.\\n\\n* Watches for CSV files (bank statements)\\n* Imports into AI agent for analysis.\\n* AI agent will query the Excel spreadsheet for tenant and property details.\\n* AI agent will generate report on discrepancies or issues and write them to the Excel file.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba35ed0b-7ace-4b76-b915-0dc516a07fb1\",\n \"name\": \"Get Property Details\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCode\",\n \"position\": [\n 1800,\n 540\n ],\n \"parameters\": {\n \"name\": \"get_property_details\",\n \"jsCode\": \"const xlsx = require('xlsx');\\n\\nconst { spreadsheet_location } = $('Set Variables').item.json;\\nconst sheetName = 'properties'\\n\\nconst wb = xlsx.readFile(spreadsheet_location, { sheets: [sheetName] });\\nconst rows = xlsx.utils.sheet_to_json(wb.Sheets[sheetName], { raw: false });\\n\\nconst queryToList = [].concat(typeof query === 'string' ? query.split(',') :query);\\n\\nconst result = queryToList.map(q => rows.find(row => row['Property ID'] === q));\\n\\nreturn result ? JSON.stringify(result) : `No results were found for ${query}`;\",\n \"description\": \"Call this tool to get a property details which includes the address, postcode and type of the property. Pass in one or an array of Property IDs.\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"8c85a2f5-6741-41f4-b377-c74a74b14d0f\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 940,\n 400\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"bcd3dd04-0082-4da6-b36b-e5ad09c4de30\",\n \"name\": \"spreadsheet_location\",\n \"type\": \"string\",\n \"value\": \"/home/node/host_mount/reconciliation_project/reconcilation-workbook.xlsx\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"bd75bad8-caa3-48f1-8892-3d1221765564\",\n \"name\": \"Append To Spreadsheet\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2480,\n 400\n ],\n \"parameters\": {\n \"jsCode\": \"const xlsx = require('xlsx');\\n\\nconst { spreadsheet_location } = $('Set Variables').first().json;\\nconst sheetName = 'alerts';\\n\\nconst wb = xlsx.readFile(spreadsheet_location);\\nxlsx.writeFile(wb, spreadsheet_location + '.bak.xlsx'); // create backup\\n\\nconst worksheet = wb.Sheets[sheetName];\\n\\nconst inputs = $input.all();\\n\\nfor (input of inputs) {\\n xlsx.utils.sheet_add_aoa(worksheet, [\\n [\\n input.json.date,\\n input.json[\\\"property_id\\\"],\\n input.json[\\\"property_postcode\\\"],\\n input.json[\\\"tenant_id\\\"],\\n input.json[\\\"tenant_name\\\"],\\n input.json[\\\"action_required\\\"],\\n input.json[\\\"details\\\"],\\n ]\\n ], { origin: -1 });\\n}\\n\\n// update sheet ref\\nconst range = xlsx.utils.decode_range(worksheet['!ref']);\\nconst rowIndex = range.e.r + 1; // The next row index to append\\nworksheet['!ref'] = xlsx.utils.encode_range({\\n s: range.s,\\n e: { r: rowIndex, c: range.e.c }\\n});\\n\\nxlsx.writeFile(wb, spreadsheet_location, {\\n cellDates: true,\\n cellStyles: true,\\n bookType: 'xlsx',\\n});\\n\\nreturn {\\\"json\\\": { \\\"output\\\": `${inputs.length} rows added` }}\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c818ea7e-dc57-4680-b797-abb21cca87fb\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1540,\n 540\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b2a97514-6020-49a6-bbdb-ee1251eb6aed\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2280,\n 640\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 461.5505566920007,\n \"height\": 106.59049079746408,\n \"content\": \"### 🚨Warning! Potentially Destructive Operations!\\nWith code comes great responsibility! There is a risk you may overwrite/delete data you didn't intend. Always makes backups and test on a copy of your spreadsheets!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f869f6eb-cf19-4b14-bf3a-4db5d636646f\",\n \"name\": \"Reconcile Rental Payments\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1640,\n 360\n ],\n \"parameters\": {\n \"text\": \"=Bank Statement for {{ $input.first().json.date }} to {{ $input.last().json.date }}:\\n|date|reference|money in|money out|\\n|-|-|-|-|\\n{{ $input.all().map(row => `|${row.json.date}|${row.json.reference}|${row.json.money_in || ''}|${row.json.money_out || ''}|`).join('\\\\n') }}\",\n \"options\": {\n \"systemMessage\": \"Your task is to help reconcile rent payments with the uploaded bank statement and alert only if there are any actions to be taken in regards to the tenants.\\n* Identify and flag any tenants who have have missed their rent according to the month. Late payments which are within a few days of the due date are acceptable and should not be flagged.\\n* Identify and flag if any tenants have not paid the correct ammount due, either less or more.\\n* Identify and flag any tenants who are finishing their rentals within the time period of the current statement.\\n* Identify and flag any remaining fees which are due and have not been paid from any tenant in the last month of their rental.\\n\\nIf the bank statement show incomplete months due to cut off, it is ok to assume the payment is pending and not actually missing.\\n\\nThe alert system requires a JSON formatted message. It is important that you format your response as follows:\\n[{\\n \\\"tenant_id\\\": \\\"\\\",\\n \\\"tenant_name\\\": \\\"\\\",\\n \\\"property_id\\\": \\\"\\\",\\n \\\"property_postcode\\\": \\\"\\\",\\n \\\"action required\\\": \\\"\\\",\\n \\\"details\\\": \\\"\\\",\\n \\\"date\\\": \\\"\\\"\\n}]\"\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"executeOnce\": true,\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"510dc73c-f267-41f3-a981-58f5bfc229a6\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n 660\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 302.6142384407349,\n \"height\": 86.00673806595168,\n \"content\": \"### 💡I'm designed to work self-hosted!\\nSome nodes in this workflow are only available to the self-hosted version of n8n.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Get CSV Data\": {\n \"main\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Get Bank Statement File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Tenant Details\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Property Details\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Alert Actions To List\": {\n \"main\": [\n [\n {\n \"node\": \"Append To Spreadsheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Bank Statement File\": {\n \"main\": [\n [\n {\n \"node\": \"Get CSV Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Reconcile Rental Payments\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Reconcile Rental Payments\": {\n \"main\": [\n [\n {\n \"node\": \"Alert Actions To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Watch For Bank Statements\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Reconcile Rent Payments with Local Excel Spreadsheet and OpenAI", "node_count": 17, "category": "Data Processing"}} {"prompt": "Build a workflow for: Scrape Trustpilot Reviews With Deepseek, Analyze Sentiment With Openai", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 20\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, n8n-nodes-base.html, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.sentimentAnalysis, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"w434EiZ2z7klQAyp\",\n \"meta\": {\n \"instanceId\": \"a4bfc93e975ca233ac45ed7c9227d84cf5a2329310525917adaf3312e10d5462\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI\",\n \"tags\": [\n {\n \"id\": \"2VG6RbmUdJ2VZbrj\",\n \"name\": \"Google Drive\",\n \"createdAt\": \"2024-12-04T16:50:56.177Z\",\n \"updatedAt\": \"2024-12-04T16:50:56.177Z\"\n },\n {\n \"id\": \"paTcf5QZDJsC2vKY\",\n \"name\": \"OpenAI\",\n \"createdAt\": \"2024-12-04T16:52:10.768Z\",\n \"updatedAt\": \"2024-12-04T16:52:10.768Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"095a8e10-1630-4a1a-b6c9-7950ae1ed803\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 320,\n -380\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"recensioni\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ff4dd9d-eedd-4d84-b13a-b3c0db717409\",\n \"name\": \"Information Extractor\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n -440,\n 140\n ],\n \"parameters\": {\n \"text\": \"=You need to extract the review from the following HTML: {{ $json.recensione }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are a review expert. You need to extract only the required information and report it without changing anything.\\nAll the required information is in the text.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"autore\",\n \"required\": true,\n \"description\": \"Extract the name of the review author\"\n },\n {\n \"name\": \"valutazione\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"Extract the rating given to the review (from 1 to 5)\"\n },\n {\n \"name\": \"data\",\n \"required\": true,\n \"description\": \"Extract review date in YYYY-MM-DD format\"\n },\n {\n \"name\": \"titolo\",\n \"required\": true,\n \"description\": \"Extract the review title\"\n },\n {\n \"name\": \"testo\",\n \"required\": true,\n \"description\": \"Extract the review text\"\n },\n {\n \"name\": \"n_recensioni\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"Extract the total number of reviews made by the user\"\n },\n {\n \"name\": \"nazione\",\n \"required\": true,\n \"description\": \"Extract the country of the user who wrote the review. Must be two characters\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0036f3b1-4832-4a35-8694-0893475a4119\",\n \"name\": \"If\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 60,\n -100\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"loose\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"ab666549-4eec-40e2-a702-0575c094a2d4\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"empty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.Valutazione }}\",\n \"rightValue\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\"\n }\n ]\n },\n \"looseTypeValidation\": true\n },\n \"executeOnce\": false,\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"5423b55d-eb6c-41c6-9b26-410e3c92b85d\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -700,\n -380\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"506cdaa1-e0ba-4f29-b137-69d321b13c94\",\n \"name\": \"Limit1\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 540,\n -380\n ],\n \"parameters\": {\n \"maxItems\": 3\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"40f1e30d-8aed-4995-b4e4-2239248bd6e7\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -460,\n -480\n ],\n \"parameters\": {\n \"width\": 212.25249169435213,\n \"height\": 245.55481727574733,\n \"content\": \"Change to the name of the company registered on Trustpilot and the maximum number of pages to scrape\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e6d2fec1-7255-4270-86b4-6d6f39f44ccb\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -460,\n 80\n ],\n \"parameters\": {\n \"width\": 381,\n \"height\": 177,\n \"content\": \"Extract all information with DeepSeek (remember to change base_url with https://api.deepseek.com/v1)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"af5e962c-4faf-41cc-a8b8-2fbb145b7af6\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -240,\n -160\n ],\n \"parameters\": {\n \"width\": 501.28903654485043,\n \"height\": 195.84053156146172,\n \"content\": \"Check if the review has already been saved to Google Drive\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"400dff0c-8b2e-4fe2-933e-1f4d14624ca1\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 40,\n 80\n ],\n \"parameters\": {\n \"width\": 301.27574750830576,\n \"height\": 177.34219269102988,\n \"content\": \"Analyze review sentiment\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52757ade-4206-40f9-bf4f-c3aefb004d2e\",\n \"name\": \"Set Parameters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -440,\n -380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"556e201d-242a-4c0e-bc13-787c2b60f800\",\n \"name\": \"company_id\",\n \"type\": \"string\",\n \"value\": \"COMPANY\"\n },\n {\n \"id\": \"a1f239df-df08-41d8-8b78-d6502266a581\",\n \"name\": \"max_page\",\n \"type\": \"number\",\n \"value\": 2\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"cd7e9d36-7ecd-4d9c-b552-8f46b0cfcc03\",\n \"name\": \"Get reviews\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -200,\n -380\n ],\n \"parameters\": {\n \"url\": \"=https://it.trustpilot.com/review/{{ $json.company_id }}\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"page\",\n \"value\": \"={{ $pageCount + 1 }}\"\n }\n ]\n },\n \"maxRequests\": \"={{ $json.max_page }}\",\n \"requestInterval\": 5000,\n \"limitPagesFetched\": true\n }\n }\n },\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"sort\",\n \"value\": \"recency\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"476ff7b6-ab30-4674-a7fe-b032128ee51a\",\n \"name\": \"Extract\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 60,\n -380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"recensioni\",\n \"attribute\": \"href\",\n \"cssSelector\": \"article section a\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"a2a35455-7d3e-4c4c-aa66-6cbbd48d867a\",\n \"name\": \"Get rows\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -200,\n -100\n ],\n \"parameters\": {\n \"options\": {},\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupValue\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\",\n \"lookupColumn\": \"Id\"\n }\n ]\n },\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Foglio1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1QZhQqg79-HVBQh8Y2ihMq67UIYIRrJFKLQalcFvtDaY\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Trustpilot Review\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"JYR6a64Qecd6t8Hb\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"2d507fe6-a4fc-42ff-97ff-dfd552c651ab\",\n \"name\": \"Get Google Sheets\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -440,\n -100\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {\n \"Id\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\"\n },\n \"schema\": [\n {\n \"id\": \"Id\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Id\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Data\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Data\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Nome\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Nome\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Titolo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Titolo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Testo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Testo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Località\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Località\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"N. Recensioni\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"N. Recensioni\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"URL\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"URL\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Valutazione\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Valutazione\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Sentiment\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Sentiment\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"Id\"\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {},\n \"operation\": \"appendOrUpdate\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Foglio1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1QZhQqg79-HVBQh8Y2ihMq67UIYIRrJFKLQalcFvtDaY\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Trustpilot Reviews\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"JYR6a64Qecd6t8Hb\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"executeOnce\": false,\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"0a1fab6e-96b7-403b-884e-f67be6e23fa5\",\n \"name\": \"Get Single review\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 320,\n -120\n ],\n \"parameters\": {\n \"url\": \"=https://it.trustpilot.com{{ $('Split Out').item.json.recensioni }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"7d322d76-1032-405a-9d46-2958761a184d\",\n \"name\": \"Extract review\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 540,\n -120\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"recensione\",\n \"cssSelector\": \"article\",\n \"returnArray\": true\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"952484e5-8e87-4eb3-99a6-5bf26c701ba8\",\n \"name\": \"Update sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 520,\n 120\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {\n \"Id\": \"={{ $('Split Out').item.json.recensioni.replace('/reviews/','') }}\",\n \"URL\": \"=https://it.trustpilot.com{{ $('Split Out').item.json.recensioni }}\",\n \"Data\": \"={{ $('Information Extractor').item.json.output.data }}\",\n \"Nome\": \"={{ $json.output.autore }}\",\n \"Testo\": \"={{ $('Information Extractor').item.json.output.testo }}\",\n \"Titolo\": \"={{ $('Information Extractor').item.json.output.titolo }}\",\n \"Località\": \"={{ $('Information Extractor').item.json.output.nazione }}\",\n \"Sentiment\": \"={{ $json.sentimentAnalysis.category }}\",\n \"Valutazione\": \"={{ $('Information Extractor').item.json.output.valutazione }}\",\n \"N. Recensioni\": \"={{ $('Information Extractor').item.json.output.n_recensioni }}\"\n },\n \"schema\": [\n {\n \"id\": \"Id\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Id\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Data\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Data\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Nome\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Nome\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Titolo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Titolo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Testo\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Testo\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Località\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Località\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"N. Recensioni\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"N. Recensioni\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"URL\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"URL\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Valutazione\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"Valutazione\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Sentiment\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Sentiment\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"Id\"\n ],\n \"attemptToConvertTypes\": false,\n \"convertFieldsToString\": false\n },\n \"options\": {},\n \"operation\": \"appendOrUpdate\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Foglio1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1QZhQqg79-HVBQh8Y2ihMq67UIYIRrJFKLQalcFvtDaY\",\n \"cachedResultUrl\": \"\",\n \"cachedResultName\": \"Trustpilot Reviews\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"JYR6a64Qecd6t8Hb\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"eb853885-816d-4df7-b5ac-900fa89d3df9\",\n \"name\": \"Sentiment Analysis\",\n \"type\": \"@n8n/n8n-nodes-langchain.sentimentAnalysis\",\n \"position\": [\n 60,\n 140\n ],\n \"parameters\": {\n \"options\": {\n \"categories\": \"Positive, Neutral, Negative\",\n \"systemPromptTemplate\": \"You are highly intelligent and accurate sentiment analyzer. Analyze the sentiment of the provided text. Categorize it into one of the following: {categories}. Use the provided formatting instructions. Only output the JSON.\"\n },\n \"inputText\": \"={{ $json.output.testo }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"79f1b9ea-6297-4735-9c0f-9f28dd65efa0\",\n \"name\": \"DeepSeek Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n -460,\n 320\n ],\n \"parameters\": {\n \"model\": \"deepseek-reasoner\",\n \"options\": {\n \"baseURL\": \"https://api.deepseek.com/v1\"\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"97Cz4cqyiy1RdcQL\",\n \"name\": \"DeepSeek\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"159cc88e-1dd3-4bba-a3c8-59a9aad14c88\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 40,\n 320\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"CDX6QM4gLYanh0P4\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"43c8ee74-159c-4217-9cb4-554c63a3b183\",\n \"connections\": {\n \"If\": {\n \"main\": [\n [\n {\n \"node\": \"Get Single review\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get rows\": {\n \"main\": [\n [\n {\n \"node\": \"If\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Limit1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get reviews\": {\n \"main\": [\n [\n {\n \"node\": \"Extract\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract review\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Parameters\": {\n \"main\": [\n [\n {\n \"node\": \"Get reviews\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Sheets\": {\n \"main\": [\n [\n {\n \"node\": \"Get rows\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Single review\": {\n \"main\": [\n [\n {\n \"node\": \"Extract review\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Sentiment Analysis\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Sentiment Analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Update sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Update sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Update sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"DeepSeek Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor\": {\n \"main\": [\n [\n {\n \"node\": \"Sentiment Analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Set Parameters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Scrape Trustpilot Reviews with DeepSeek, Analyze Sentiment with OpenAI", "node_count": 20, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.set, n8n-nodes-base.html, n8n-nodes-base.scheduleTrigger to news extraction", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 36\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.html, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.openAi, n8n-nodes-base.itemLists, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest, n8n-nodes-base.nocoDb, n8n-nodes-base.merge\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"xM8Z5vZVNTNjCySL\",\n \"meta\": {\n \"instanceId\": \"b8ef33547995f2a520f12118ac1f7819ea58faa7a1096148cac519fa08be8e99\"\n },\n \"name\": \"News Extraction\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"97711d12-20de-40aa-b994-d2b10f20a5e5\",\n \"name\": \"Extract the HTML with the right css class\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -500,\n 0\n ],\n \"parameters\": {\n \"options\": {\n \"trimValues\": true\n },\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"data\",\n \"attribute\": \"href\",\n \"cssSelector\": \"=div:nth-child(9) > div:nth-child(3) > a:nth-child(2)\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b874b570-daae-4878-b525-07ac30756eb1\",\n \"name\": \"Summary\",\n \"type\": \"n8n-nodes-base.openAi\",\n \"position\": [\n -880,\n 440\n ],\n \"parameters\": {\n \"model\": \"gpt-4-1106-preview\",\n \"prompt\": {\n \"messages\": [\n {\n \"content\": \"=Create a summary in less than 70 words {{ $json[\\\"content\\\"] }}\"\n }\n ]\n },\n \"options\": {},\n \"resource\": \"chat\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"0Vdk5RlVe7AoUdAM\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"72696278-2d44-4073-936a-6fe9df1bc7d8\",\n \"name\": \"Keywords\",\n \"type\": \"n8n-nodes-base.openAi\",\n \"position\": [\n -880,\n 620\n ],\n \"parameters\": {\n \"model\": \"gpt-4-1106-preview\",\n \"prompt\": {\n \"messages\": [\n {\n \"content\": \"=name the 3 most important technical keywords in {{ $json[\\\"content\\\"] }} ? just name them without any explanations or other sentences\"\n }\n ]\n },\n \"options\": {},\n \"resource\": \"chat\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"0Vdk5RlVe7AoUdAM\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0bfdb3be-76ef-4bb3-902f-f0869342b83c\",\n \"name\": \"Rename keywords\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -700,\n 620\n ],\n \"parameters\": {\n \"fields\": {\n \"values\": [\n {\n \"name\": \"keywords\",\n \"stringValue\": \"={{ $json[\\\"message\\\"][\\\"content\\\"] }}\"\n }\n ]\n },\n \"include\": \"none\",\n \"options\": {}\n },\n \"typeVersion\": 3.1\n },\n {\n \"id\": \"0387cf34-41c9-4729-8570-1db7b17c42f4\",\n \"name\": \"Rename Summary\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -700,\n 440\n ],\n \"parameters\": {\n \"fields\": {\n \"values\": [\n {\n \"name\": \"=summary\",\n \"stringValue\": \"={{ $json[\\\"message\\\"][\\\"content\\\"] }}\"\n }\n ]\n },\n \"include\": \"none\",\n \"options\": {}\n },\n \"typeVersion\": 3.1\n },\n {\n \"id\": \"5fa1702c-f0bf-4524-bc8f-6f550dd83f1e\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -480,\n 560\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"25128a71-b0d5-49a4-adb8-c3fbe03c0a85\",\n \"name\": \"Extract date\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -500,\n -160\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"data\",\n \"cssSelector\": \"div:nth-child(9) > div:nth-child(2) > span:nth-child(1)\",\n \"returnArray\": true\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"138b3bd6-494a-49b9-b5b8-c9febcfef9fb\",\n \"name\": \"Select posts of last 7 days\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 120,\n 0\n ],\n \"parameters\": {\n \"jsCode\": \"const currentDate = new Date();\\nconst sevenDaysAgo = new Date(currentDate.setDate(currentDate.getDate() - 70)); // Change the number of days going back to your liking (e.g. from -7 to -1) -> BUT sync with the cron job (first node)\\n\\nconst filteredItems = items.filter(item => {\\n const postDate = new Date(item.json[\\\"Date\\\"]); // Assuming \\\"Date\\\" is the field name in the extracted html\\n return postDate >= sevenDaysAgo;\\n});\\n\\nreturn filteredItems;\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1ace953b-e298-4fc2-8970-327f736889ec\",\n \"name\": \"Merge date & links\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -100,\n 0\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"bba692fc-c225-41be-a969-179d8b99c071\",\n \"name\": \"HTTP Request1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 320,\n 0\n ],\n \"parameters\": {\n \"url\": \"={{ $json[\\\"Link\\\"] }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"26671065-631f-4684-9ee1-15f26b4cf1e4\",\n \"name\": \"Merge Content with Date & Link\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 500,\n 260\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"79beb744-97b8-4072-824a-6736b0a080ef\",\n \"name\": \"Extract individual posts\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 500,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"title\",\n \"cssSelector\": \"h1.fl-heading > span:nth-child(1)\"\n },\n {\n \"key\": \"content\",\n \"cssSelector\": \".fl-node-5c7574ae7d5c6 > div:nth-child(1)\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e89d9de5-875b-453e-825a-26f2bebcc8df\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 80,\n -107\n ],\n \"parameters\": {\n \"width\": 180.9747474601832,\n \"height\": 276.31054308676767,\n \"content\": \"Select only the newest news: todays date going back xy days\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8a603f2f-4208-48c7-b169-e5613f13fa7d\",\n \"name\": \"Merge ChatGPT output with Date & Link\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -180,\n 560\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combinationMode\": \"mergeByPosition\"\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"e1036421-9ce1-4121-a692-602410ec7c95\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"disabled\": true,\n \"position\": [\n -539.7802584556148,\n -4.722020203185366\n ],\n \"parameters\": {\n \"width\": 182.2748213508401,\n \"height\": 304.2550759710132,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nExtracting the individual links of the press release page in order to retrieve the individual posts on their respective **url**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3655ab22-6a17-429a-9d9b-d96bbcc78fee\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -538.404803912782,\n -304\n ],\n \"parameters\": {\n \"width\": 178.75185894039254,\n \"height\": 289.463147786618,\n \"content\": \"Extracting the dates of the posts of the press release page.\\nThe right CSS selector has to be chosen.\\n[More info on datagrab.io](https://datagrab.io/blog/guide-to-css-selectors-for-web-scraping/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e27fb4c-426a-41e1-b5fb-9b2d78acd2a7\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1300,\n -299.82161760751774\n ],\n \"parameters\": {\n \"width\": 334.4404040637068,\n \"height\": 1127.2017245821128,\n \"content\": \"# Scraping posts of a news site without RSS feed\\n\\n\\nThe [News Site](https://www.colt.net/resources/type/news/) from Colt, a telecom company, does not offer an RSS feed, therefore web scraping is the \\nchoice to extract and process the news.\\n\\nThe goal is to get only the newest posts, a summary of each post and their respective (technical) keywords.\\n\\nNote that the news site offers the links to each news post, but not the individual news. We collect first the links and dates of each post before extracting the newest ones.\\n\\nThe result is sent to a SQL database, in this case a NocoDB database.\\n\\nThis process happens each week thru a cron job.\\n\\n**Requirements**:\\n- Basic understanding of CSS selectors and how to get them via browser (usually: right click → inspect)\\n- ChatGPT API account - normal account is not sufficient\\n- A NocoDB database - of course you may choose any type of output target\\n\\n**Assumptions**:\\n- CSS selectors work on the news site\\n- The post has a date with own CSS selector - meaning date is not part of the news content\\n\\n**\\\"Warnings\\\"**\\n- Not every site likes to be scraped, especially not in high frequency\\n- Each website is structured in different ways, the workflow may then need several adaptations.\\n\\n\\nHappy about any suggestion to improve. You may contact me on **Mastodon**: https://bonn.social/@askans\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d43bd5b7-2aff-4a07-8aca-ca4747ec6c4d\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -927.8447474890202,\n -80\n ],\n \"parameters\": {\n \"width\": 153.90180146729315,\n \"height\": 237.91333335255808,\n \"content\": \"Weekly cron job\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e732d136-fcf1-4fc3-8bb6-bdcea3c78d9e\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -760,\n -80\n ],\n \"parameters\": {\n \"width\": 185.41515152389002,\n \"height\": 241.454848504947,\n \"content\": \"The html of the news site is being retrieved: https://www.colt.net/resources/type/news/\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d5e29ec3-5ef2-42f3-b316-9350644dbba4\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -340,\n -306\n ],\n \"parameters\": {\n \"width\": 187.3613302133812,\n \"height\": 469.2923233086395,\n \"content\": \"As the extraction are returned as arrays, they transformed into individual JSON items to enable looping with other nodes\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1af15c45-32c0-4abf-a35d-be7206823569\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -120,\n -103.54151515238902\n ],\n \"parameters\": {\n \"width\": 150,\n \"height\": 274.50898992724416,\n \"content\": \"The links of the individual posts and the dates of the posts \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f7c42748-f227-42d0-a9e2-fcb16dbd0f75\",\n \"name\": \"Retrieve the web page for further processsing\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -720,\n 0\n ],\n \"parameters\": {\n \"url\": \"https://www.colt.net/resources/type/news/\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"responseFormat\": \"text\"\n }\n }\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"b2c36f26-8221-478f-a4b0-22758b1e5e58\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 292,\n -100\n ],\n \"parameters\": {\n \"width\": 155.0036363426638,\n \"height\": 272.1479798256519,\n \"content\": \"Get the html of each individual **newest** post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ae05c31-c09a-4b4e-a013-41571937bc39\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n -100\n ],\n \"parameters\": {\n \"width\": 184.07417896879767,\n \"height\": 269.2504410842093,\n \"content\": \"Extracting the title & content (text) of each individual news post with the right CSS selector\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e2da76d4-0c8c-4c61-924f-50aa9387e9ab\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 180\n ],\n \"parameters\": {\n \"width\": 191.87778190338406,\n \"height\": 234.13422787857044,\n \"content\": \"Merge link to url, date with content (text) and title of each news psot\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c124aaac-dce6-4658-9027-bdfe5c0c81e6\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -907.2264215202996,\n 331.0681740778203\n ],\n \"parameters\": {\n \"width\": 150,\n \"height\": 256.2444361932317,\n \"content\": \"Create a summary of each news post with ChatGPT. You need a ChatGPT API account for this\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c9037e74-007b-4e44-b7f9-90e78b853eb5\",\n \"name\": \"Sticky Note13\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -909.595196087218,\n 610.7495589157902\n ],\n \"parameters\": {\n \"width\": 152.85976723045226,\n \"height\": 218.52702200939785,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\nGet the 3 keywords of each news post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"756397d9-de80-4114-9dee-b4f4b9593333\",\n \"name\": \"Sticky Note14\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -740,\n 340\n ],\n \"parameters\": {\n \"width\": 182.7735784797001,\n \"height\": 489.05192374172555,\n \"content\": \"Just a renaming of data fields and eliminating unnecessary ones\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a0dcb254-f064-45ed-8e22-30a6d079085b\",\n \"name\": \"Sticky Note15\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n 480\n ],\n \"parameters\": {\n \"width\": 169.7675735887227,\n \"height\": 254.94383570413422,\n \"content\": \"Merge summary and keywords of each news post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"82993166-b273-4b82-a954-554c6892f825\",\n \"name\": \"Schedule Trigger each week\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -900,\n 0\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 3\n ],\n \"triggerAtHour\": 4,\n \"triggerAtMinute\": 32\n }\n ]\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"3d670eb9-5a36-4cd9-8d2c-40adf848485e\",\n \"name\": \"Sticky Note16\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -220,\n 477.5081090810816\n ],\n \"parameters\": {\n \"width\": 180.1723775015045,\n \"height\": 260.5279202647822,\n \"content\": \"Add title, link and date to summary and keywords of each news post\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"62021393-e988-4834-9fa2-75a957b42890\",\n \"name\": \"NocoDB news database\",\n \"type\": \"n8n-nodes-base.nocoDb\",\n \"position\": [\n 60,\n 560\n ],\n \"parameters\": {\n \"table\": \"mhbalmu9aaqcun6\",\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldName\": \"=News_Source\",\n \"fieldValue\": \"=Colt\"\n },\n {\n \"fieldName\": \"Title\",\n \"fieldValue\": \"={{ $json[\\\"title\\\"] }}\"\n },\n {\n \"fieldName\": \"Date\",\n \"fieldValue\": \"={{ $json[\\\"Date\\\"] }}\"\n },\n {\n \"fieldName\": \"Link\",\n \"fieldValue\": \"={{ $json[\\\"Link\\\"] }}\"\n },\n {\n \"fieldName\": \"Summary\",\n \"fieldValue\": \"={{ $json[\\\"summary\\\"] }}\"\n },\n {\n \"fieldName\": \"Keywords\",\n \"fieldValue\": \"={{ $json[\\\"keywords\\\"] }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"projectId\": \"prqu4e8bjj4bv1j\",\n \"authentication\": \"nocoDbApiToken\"\n },\n \"credentials\": {\n \"nocoDbApiToken\": {\n \"id\": \"gjNns0VJMS3P2RQ3\",\n \"name\": \"NocoDB Token account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"e59e9fab-10a7-470b-afa6-e1d4b4e57723\",\n \"name\": \"Sticky Note17\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 280,\n 480\n ],\n \"parameters\": {\n \"width\": 483.95825869942666,\n \"height\": 268.5678114630957,\n \"content\": \"## News summaries and keywords → database\\n\\n[NocoDB](https://nocodb.com/) is an SQL database, here we store the news summaries and keywords for further processing. Any other output target can be chosen here, e.g. e-mail, Excel etc.\\n\\nYou need first have that database structured before appending the news summaries and additional fields. The you can shape this node.\\n\\nSome fields may be edited in the database itself (e.g. relevance of the news to you) and may be filled therefore with a default value or not at all\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"253b414b-9a5b-4a25-892b-9aa011d55d28\",\n \"name\": \"Sticky Note18\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 20,\n 480\n ],\n \"parameters\": {\n \"width\": 262.99083066277313,\n \"height\": 268.56781146309544,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"438e8dde-ce0a-4e5e-8d62-d735d19ec189\",\n \"name\": \"Create single link items\",\n \"type\": \"n8n-nodes-base.itemLists\",\n \"position\": [\n -300,\n 0\n ],\n \"parameters\": {\n \"options\": {\n \"destinationFieldName\": \"Link\"\n },\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"d721776b-fefc-4e72-91ef-6710f10b0393\",\n \"name\": \"Create single date items\",\n \"type\": \"n8n-nodes-base.itemLists\",\n \"position\": [\n -300,\n -160\n ],\n \"parameters\": {\n \"options\": {\n \"destinationFieldName\": \"Date\"\n },\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 3\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ff89d802-3bcf-4b34-9cd9-776b1f3b5eab\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Merge ChatGPT output with Date & Link\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Summary\": {\n \"main\": [\n [\n {\n \"node\": \"Rename Summary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Keywords\": {\n \"main\": [\n [\n {\n \"node\": \"Rename keywords\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract date\": {\n \"main\": [\n [\n {\n \"node\": \"Create single date items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Extract individual posts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Rename Summary\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Rename keywords\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Merge date & links\": {\n \"main\": [\n [\n {\n \"node\": \"Select posts of last 7 days\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create single date items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge date & links\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create single link items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge date & links\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Extract individual posts\": {\n \"main\": [\n [\n {\n \"node\": \"Merge Content with Date & Link\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger each week\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve the web page for further processsing\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select posts of last 7 days\": {\n \"main\": [\n [\n {\n \"node\": \"Merge Content with Date & Link\",\n \"type\": \"main\",\n \"index\": 1\n },\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge Content with Date & Link\": {\n \"main\": [\n [\n {\n \"node\": \"Summary\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Keywords\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Merge ChatGPT output with Date & Link\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge ChatGPT output with Date & Link\": {\n \"main\": [\n [\n {\n \"node\": \"NocoDB news database\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract the HTML with the right css class\": {\n \"main\": [\n [\n {\n \"node\": \"Create single link items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve the web page for further processsing\": {\n \"main\": [\n [\n {\n \"node\": \"Extract the HTML with the right css class\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Extract date\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "News Extraction", "node_count": 36, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi to scrape and summarize webpages with ai", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 15\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, n8n-nodes-base.html, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.chainSummarization, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"67850bd7-f9f4-4d5b-8c9e-bd1451247ba6\",\n \"name\": \"When clicking \\\"Execute Workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -740,\n 1000\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0d9133f9-b6d3-4101-95c6-3cd24cdb70c3\",\n \"name\": \"Fetch essay list\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -520,\n 1000\n ],\n \"parameters\": {\n \"url\": \"http://www.paulgraham.com/articles.html\",\n \"options\": {}\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"ee634297-a456-4f70-a995-55b02950571e\",\n \"name\": \"Extract essay names\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n -300,\n 1000\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"dataPropertyName\": \"=data\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"essay\",\n \"attribute\": \"href\",\n \"cssSelector\": \"table table a\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"83d75693-dbb8-44c4-8533-da06f611c59c\",\n \"name\": \"Fetch essay texts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 360,\n 1000\n ],\n \"parameters\": {\n \"url\": \"=http://www.paulgraham.com/{{ $json.essay }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"151022b5-8570-4176-bf3f-137f27ac7036\",\n \"name\": \"Extract title\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 700,\n 700\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"title\",\n \"cssSelector\": \"title\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"07bcf095-3c4d-4a72-9bcb-341411750ff5\",\n \"name\": \"Clean up\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1360,\n 980\n ],\n \"parameters\": {\n \"fields\": {\n \"values\": [\n {\n \"name\": \"title\",\n \"stringValue\": \"={{ $json.title }}\"\n },\n {\n \"name\": \"summary\",\n \"stringValue\": \"={{ $json.response.text }}\"\n },\n {\n \"name\": \"url\",\n \"stringValue\": \"=http://www.paulgraham.com/{{ $('Limit to first 3').item.json.essay }}\"\n }\n ]\n },\n \"include\": \"none\",\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"11285de0-3c5d-4296-a322-9b7585af9acc\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -580,\n 920\n ],\n \"parameters\": {\n \"width\": 1071.752021563343,\n \"height\": 285.66037735849045,\n \"content\": \"## Scrape latest Paul Graham essays\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c32f905d-dd7a-4b68-bbe0-dd8115ee0944\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 920\n ],\n \"parameters\": {\n \"width\": 465.3908355795153,\n \"height\": 606.7924528301882,\n \"content\": \"## Summarize them with GPT\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"29d264f4-df6d-4a41-ab38-58e1b1becc9a\",\n \"name\": \"Split out into items\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n -80,\n 1000\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"essay\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ccfa3a1d-f170-44b4-a1f2-3573c88cae98\",\n \"name\": \"Limit to first 3\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 140,\n 1000\n ],\n \"parameters\": {\n \"maxItems\": 3\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c3d05068-9d1a-4ef5-8249-e7384dc617ee\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 820,\n 1200\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"db75adad-cb16-4e72-b16e-34684a733b05\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 820,\n 1340\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"022cc091-9b4c-45c2-bc8e-4037ec2d0d60\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 680,\n 1200\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cda47bb7-36c5-4d15-a1ef-0c66b1194825\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1160,\n 980\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"28144e4c-e425-428d-b3d1-f563bfd4e5b3\",\n \"name\": \"Summarization Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainSummarization\",\n \"position\": [\n 720,\n 1000\n ],\n \"parameters\": {\n \"options\": {},\n \"operationMode\": \"documentLoader\"\n },\n \"typeVersion\": 2\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Clean up\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract title\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch essay list\": {\n \"main\": [\n [\n {\n \"node\": \"Extract essay names\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit to first 3\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch essay texts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Fetch essay texts\": {\n \"main\": [\n [\n {\n \"node\": \"Extract title\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Summarization Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Summarization Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Summarization Chain\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract essay names\": {\n \"main\": [\n [\n {\n \"node\": \"Split out into items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Summarization Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Split out into items\": {\n \"main\": [\n [\n {\n \"node\": \"Limit to first 3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Execute Workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Fetch essay list\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Scrape and summarize webpages with AI", "node_count": 15, "category": "Data Processing"}} {"prompt": "Build a workflow for: Google Analytics Template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 22\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.googleAnalytics, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"K3uf8aY8wipScEay\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Google analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 460,\n 460\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"484cbc41-f57d-4c3d-a458-e439d480d290\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 460,\n 640\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 100\n ],\n \"parameters\": {\n \"width\": 714.172987012987,\n \"content\": \"## Send Google analytics to A.I. and save results to baserow\\n\\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\\n\\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"adde29fc-ddb5-4b50-aa78-313ac9ede879\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 633.6540259740264,\n 320\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 2097.92831168831,\n \"height\": 342.6576623376624,\n \"content\": \"## Property ID\\n\\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\\n2. Enter your [property ID](https://developers.google.com/analytics/devguides/reporting/data/v1/property-id).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f2fb8535-e81e-4ca1-80df-ee68edba6386\",\n \"name\": \"Get Page Engagement Stats for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 700,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1d761425-cebf-4787-b286-b723a0851485\",\n \"name\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1060,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"2024-10-23T00:00:00\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f8dac36b-9e8a-407f-b923-b4cea368f1bc\",\n \"name\": \"Parse data from Google Analytics\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 880,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ed880442-c92e-4347-b277-e8794aea6fbc\",\n \"name\": \"Parse GA data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1240,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"46e092cc-af94-4e64-aa92-931c56345eff\",\n \"name\": \"Get Google Search Results for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1420,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"709d0aaf-bd3d-4d83-9e66-b7df495855bd\",\n \"name\": \"Get Google Search Results for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1780,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7d3835d6-d1f5-4159-8e34-871871e63989\",\n \"name\": \"Parse Google Analytics Data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c018fda4-a2e6-48f4-aabb-039c66374dc7\",\n \"name\": \"Parse Google Analytics Data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1940,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"d8f775cd-daf9-42de-a527-d932be46d945\",\n \"name\": \"Get Country views data for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2120,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7119e57c-cbf4-49a9-b0c9-1f3da1fd2af3\",\n \"name\": \"Get Country views data for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2440,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"546d6cd2-6db6-4276-be35-abbe5a7e9b6a\",\n \"name\": \"Parse Google analytics data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2280,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"87cb137c-686d-49a5-8657-06ed0c5f5c27\",\n \"name\": \"Parse Google analytics data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"06c4478d-a13a-4587-9f1f-451a68798a9f\",\n \"name\": \"Send page data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2760,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $json.urlString }} Data from last week: {{ $('Parse data from Google Analytics').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"4ad522b0-afe4-4eff-aa16-b86cc892ead8\",\n \"name\": \"Send page Search data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google Analytics Data1').item.json.urlString }} Data from last week:{{ $('Parse Google Analytics Data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"07e1eebf-f16a-44c0-83b5-76bf65a3d3fc\",\n \"name\": \"Send country view data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3080,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google analytics data1').item.json.urlString }} Data from last week:{{ $('Parse Google analytics data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"c4648ad8-2377-42a0-a431-931b53631c9d\",\n \"name\": \"Save A.I. output to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 3240,\n 460\n ],\n \"parameters\": {\n \"tableId\": 601,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 5833,\n \"fieldValue\": \"Name of your blog\"\n },\n {\n \"fieldId\": 5831,\n \"fieldValue\": \"={{ $('Send page data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5830,\n \"fieldValue\": \"={{ $('Send page Search data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5832,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5829,\n \"fieldValue\": \"={{ DateTime.now() }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e185c836-c12f-4452-92bd-0daaf33b653a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2760,\n 180\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 441.7412987012988,\n \"height\": 508.95792207792226,\n \"content\": \"## Send data to A.I.\\n\\nFill in your Openrouter A.I. credentials. Use Header Auth.\\n- Username: Authorization\\n- Password: Bearer {insert your API key}\\n\\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1de2d16-d09e-4c74-8be1-f6bab8c34246\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3220,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 331.32883116883124,\n \"height\": 474.88,\n \"content\": \"## Send data to Baserow\\n\\nCreate a table first with the following columns:\\n- Name\\n- Country Views\\n- Page Views\\n- Search Report\\n- Blog \\n\\nEnter the name of your website under \\\"Blog\\\" field.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ac4b5eac-1c84-49ce-9ff7-794f857265b4\",\n \"connections\": {\n \"Parse GA data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send page Search data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data1\": {\n \"main\": [\n [\n {\n \"node\": \"Send page data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page Search data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send country view data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send country view data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Save A.I. output to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse data from Google Analytics\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse data from Google Analytics\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for prior week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse GA data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Google analytics template", "node_count": 22, "category": "General Automation"}} {"prompt": "Build a workflow for: Google Analytics Template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 22\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.googleAnalytics, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"K3uf8aY8wipScEay\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Google analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6a9fc442-d0a3-48be-8dff-94f8d9cd5cf1\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 460,\n 460\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"484cbc41-f57d-4c3d-a458-e439d480d290\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 460,\n 640\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b1b66e9b-5fea-407b-9c1e-39bd2a9d4a90\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 100\n ],\n \"parameters\": {\n \"width\": 714.172987012987,\n \"content\": \"## Send Google analytics to A.I. and save results to baserow\\n\\nThis workflow will check for country views, page engagement and google search console results. It will take this week's data and compare it to last week's data.\\n\\n[You can read more about this workflow here](https://rumjahn.com/how-i-used-a-i-to-be-an-seo-expert-and-analyzed-my-google-analytics-data-in-n8n-and-make-com/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"adde29fc-ddb5-4b50-aa78-313ac9ede879\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 633.6540259740264,\n 320\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 2097.92831168831,\n \"height\": 342.6576623376624,\n \"content\": \"## Property ID\\n\\n1. Create your [Google Analytics Credentials](https://docs.n8n.io/integrations/builtin/credentials/google/oauth-single-service/?utm_source=n8n_app&utm_medium=credential_settings&utm_campaign=create_new_credentials_modal)\\n2. Enter your [property ID](https://developers.google.com/analytics/devguides/reporting/data/v1/property-id).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f2fb8535-e81e-4ca1-80df-ee68edba6386\",\n \"name\": \"Get Page Engagement Stats for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 700,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1d761425-cebf-4787-b286-b723a0851485\",\n \"name\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1060,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"2024-10-23T00:00:00\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"screenPageViews\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"screenPageViewsPerUser\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"unifiedScreenName\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f8dac36b-9e8a-407f-b923-b4cea368f1bc\",\n \"name\": \"Parse data from Google Analytics\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 880,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"ed880442-c92e-4347-b277-e8794aea6fbc\",\n \"name\": \"Parse GA data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1240,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // Debug logging\\n console.log('Input items:', JSON.stringify(items, null, 2));\\n \\n // Check if items is an array and has content\\n if (!Array.isArray(items) || items.length === 0) {\\n console.log('Items is not an array or is empty');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Check if first item exists and has json property\\n if (!items[0] || !items[0].json) {\\n console.log('First item is missing or has no json property');\\n throw new Error('Invalid data structure');\\n }\\n\\n // Get the analytics data\\n const analyticsData = items[0].json;\\n \\n // Check if analyticsData has rows\\n if (!analyticsData || !Array.isArray(analyticsData.rows)) {\\n console.log('Analytics data is missing or has no rows array');\\n throw new Error('Invalid data structure');\\n }\\n \\n // Map each row to a simplified object\\n const simplified = analyticsData.rows.map(row => {\\n if (!row.dimensionValues?.[0]?.value || !row.metricValues?.length) {\\n console.log('Invalid row structure:', row);\\n throw new Error('Invalid row structure');\\n }\\n \\n return {\\n page: row.dimensionValues[0].value,\\n pageViews: parseInt(row.metricValues[0].value) || 0,\\n activeUsers: parseInt(row.metricValues[1].value) || 0,\\n viewsPerUser: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0\\n };\\n });\\n \\n // Convert to JSON string and encode for URL\\n return encodeURIComponent(JSON.stringify(simplified));\\n}\\n\\n// Get input data and transform it\\nconst urlString = transformToUrlString($input.all());\\n\\n// Return the result\\nreturn { json: { urlString } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"46e092cc-af94-4e64-aa92-931c56345eff\",\n \"name\": \"Get Google Search Results for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1420,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"709d0aaf-bd3d-4d83-9e66-b7df495855bd\",\n \"name\": \"Get Google Search Results for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 1780,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchAveragePosition\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClickThroughRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchClicks\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"organicGoogleSearchImpressions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"landingPagePlusQueryString\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7d3835d6-d1f5-4159-8e34-871871e63989\",\n \"name\": \"Parse Google Analytics Data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c018fda4-a2e6-48f4-aabb-039c66374dc7\",\n \"name\": \"Parse Google Analytics Data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1940,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n page: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n engagedSessions: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n eventCount: parseInt(row.metricValues[3].value) || 0,\\n avgPosition: parseFloat(row.metricValues[4].value) || 0,\\n ctr: parseFloat(row.metricValues[5].value) || 0,\\n clicks: parseInt(row.metricValues[6].value) || 0,\\n impressions: parseInt(row.metricValues[7].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"d8f775cd-daf9-42de-a527-d932be46d945\",\n \"name\": \"Get Country views data for this week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2120,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"returnAll\": true,\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"credentials\": {\n \"googleAnalyticsOAuth2\": {\n \"id\": \"b1GX8VBMKCUNweV1\",\n \"name\": \"Google Analytics account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"7119e57c-cbf4-49a9-b0c9-1f3da1fd2af3\",\n \"name\": \"Get Country views data for last week\",\n \"type\": \"n8n-nodes-base.googleAnalytics\",\n \"position\": [\n 2440,\n 460\n ],\n \"parameters\": {\n \"simple\": false,\n \"endDate\": \"={{$today.minus({days: 7})}}\",\n \"dateRange\": \"custom\",\n \"returnAll\": true,\n \"startDate\": \"={{$today.minus({days: 14})}}\",\n \"metricsGA4\": {\n \"metricValues\": [\n {\n \"name\": \"activeUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"newUsers\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagementRate\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"engagedSessions\",\n \"listName\": \"other\"\n },\n {\n \"name\": \"eventCount\",\n \"listName\": \"other\"\n },\n {\n \"listName\": \"other\"\n },\n {\n \"name\": \"sessions\",\n \"listName\": \"other\"\n }\n ]\n },\n \"propertyId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"460520224\"\n },\n \"dimensionsGA4\": {\n \"dimensionValues\": [\n {\n \"name\": \"country\",\n \"listName\": \"other\"\n }\n ]\n },\n \"additionalFields\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"546d6cd2-6db6-4276-be35-abbe5a7e9b6a\",\n \"name\": \"Parse Google analytics data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2280,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"87cb137c-686d-49a5-8657-06ed0c5f5c27\",\n \"name\": \"Parse Google analytics data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 2600,\n 460\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data || !data.rows) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Process each row\\n const simplified = data.rows.map(row => ({\\n country: row.dimensionValues[0].value,\\n activeUsers: parseInt(row.metricValues[0].value) || 0,\\n newUsers: parseInt(row.metricValues[1].value) || 0,\\n engagementRate: parseFloat(row.metricValues[2].value) || 0,\\n engagedSessions: parseInt(row.metricValues[3].value) || 0,\\n eventCount: parseInt(row.metricValues[4].value) || 0,\\n totalUsers: parseInt(row.metricValues[5].value) || 0,\\n sessions: parseInt(row.metricValues[6].value) || 0\\n }));\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"06c4478d-a13a-4587-9f1f-451a68798a9f\",\n \"name\": \"Send page data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2760,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $json.urlString }} Data from last week: {{ $('Parse data from Google Analytics').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"4ad522b0-afe4-4eff-aa16-b86cc892ead8\",\n \"name\": \"Send page Search data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google Analytics Data1').item.json.urlString }} Data from last week:{{ $('Parse Google Analytics Data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"07e1eebf-f16a-44c0-83b5-76bf65a3d3fc\",\n \"name\": \"Send country view data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3080,\n 460\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Compare the data from past 2 weeks, give me a table in markdown. Then give me 5 suggestions to improve my SEO. Output the data so that it works with markdown editors. Data from 2 weeks ago:{{ $('Parse Google analytics data1').item.json.urlString }} Data from last week:{{ $('Parse Google analytics data').item.json.urlString }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"c4648ad8-2377-42a0-a431-931b53631c9d\",\n \"name\": \"Save A.I. output to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 3240,\n 460\n ],\n \"parameters\": {\n \"tableId\": 601,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 5833,\n \"fieldValue\": \"Name of your blog\"\n },\n {\n \"fieldId\": 5831,\n \"fieldValue\": \"={{ $('Send page data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5830,\n \"fieldValue\": \"={{ $('Send page Search data to A.I.').item.json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5832,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5829,\n \"fieldValue\": \"={{ DateTime.now() }}\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e185c836-c12f-4452-92bd-0daaf33b653a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2760,\n 180\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 441.7412987012988,\n \"height\": 508.95792207792226,\n \"content\": \"## Send data to A.I.\\n\\nFill in your Openrouter A.I. credentials. Use Header Auth.\\n- Username: Authorization\\n- Password: Bearer {insert your API key}\\n\\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a1de2d16-d09e-4c74-8be1-f6bab8c34246\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3220,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 331.32883116883124,\n \"height\": 474.88,\n \"content\": \"## Send data to Baserow\\n\\nCreate a table first with the following columns:\\n- Name\\n- Country Views\\n- Page Views\\n- Search Report\\n- Blog \\n\\nEnter the name of your website under \\\"Blog\\\" field.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ac4b5eac-1c84-49ce-9ff7-794f857265b4\",\n \"connections\": {\n \"Parse GA data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send page Search data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Google Search Results for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for last week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google Analytics Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Country views data for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Google analytics data1\": {\n \"main\": [\n [\n {\n \"node\": \"Send page data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send page Search data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Send country view data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send country view data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Save A.I. output to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse data from Google Analytics\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for prior week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Page Engagement Stats for this week\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Country views data for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google analytics data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for last week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Google Search Results for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Google Analytics Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for this week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse data from Google Analytics\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Page Engagement Stats for prior week\": {\n \"main\": [\n [\n {\n \"node\": \"Parse GA data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Google analytics template", "node_count": 22, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for spot workplace discrimination patterns with ai", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 38\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.quickChart, n8n-nodes-base.html, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, n8n-nodes-base.code, @n8n/n8n-nodes-langchain.chainLlm, @n8n/n8n-nodes-langchain.informationExtractor\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"vzU9QRZsHcyRsord\",\n \"meta\": {\n \"instanceId\": \"a9f3b18652ddc96459b459de4fa8fa33252fb820a9e5a1593074f3580352864a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Spot Workplace Discrimination Patterns with AI\",\n \"tags\": [\n {\n \"id\": \"76EYz9X3GU4PtgSS\",\n \"name\": \"human_resources\",\n \"createdAt\": \"2025-01-30T18:52:17.614Z\",\n \"updatedAt\": \"2025-01-30T18:52:17.614Z\"\n },\n {\n \"id\": \"ey2Mx4vNaV8cKvao\",\n \"name\": \"openai\",\n \"createdAt\": \"2024-12-23T07:10:13.400Z\",\n \"updatedAt\": \"2024-12-23T07:10:13.400Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"b508ab50-158a-4cbf-a52e-f53e1804e770\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 280,\n 380\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"11a1a2d5-a274-44f7-97ca-5666a59fcb31\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2220,\n 800\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"XXXXXX\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"395f7b67-c914-4aae-8727-0573fdbfc6ad\",\n \"name\": \"OpenAI Chat Model2\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2220,\n 380\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"XXXXXX\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ab194a9-b869-4296-aea9-19afcbffc0d7\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 2940,\n 600\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"1eba1dd7-a164-4c70-8c75-759532bd16a0\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 3840,\n 420\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"XXXXXX\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f25f1b07-cded-4ca7-9655-8b8f463089ab\",\n \"name\": \"SET company_name\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 540,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dd256ef7-013c-4769-8580-02c2d902d0b2\",\n \"name\": \"company_name\",\n \"type\": \"string\",\n \"value\": \"=Twilio\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"87264a93-ab97-4e39-8d40-43365189f704\",\n \"name\": \"Define dictionary of demographic keys\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 740,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6ae671be-45d0-4a94-a443-2f1d4772d31b\",\n \"name\": \"asian\",\n \"type\": \"string\",\n \"value\": \"Asian\"\n },\n {\n \"id\": \"6c93370c-996c-44a6-a34c-4cd3baeeb846\",\n \"name\": \"hispanic\",\n \"type\": \"string\",\n \"value\": \"Hispanic or Latinx\"\n },\n {\n \"id\": \"dee79039-6051-4e9d-98b5-63a07d30f6b0\",\n \"name\": \"white\",\n \"type\": \"string\",\n \"value\": \"White\"\n },\n {\n \"id\": \"08d42380-8397-412f-8459-7553e9309b5d\",\n \"name\": \"pacific_islander\",\n \"type\": \"string\",\n \"value\": \"Native Hawaiian or other Pacific Islander\"\n },\n {\n \"id\": \"09e8ebc5-e7e7-449a-9036-9b9b54cdc828\",\n \"name\": \"black\",\n \"type\": \"string\",\n \"value\": \"Black or African American\"\n },\n {\n \"id\": \"39e910f8-3a8b-4233-a93a-3c5693e808c6\",\n \"name\": \"middle_eastern\",\n \"type\": \"string\",\n \"value\": \"Middle Eastern\"\n },\n {\n \"id\": \"169b3471-efa0-476e-aa83-e3f717c568f1\",\n \"name\": \"indigenous\",\n \"type\": \"string\",\n \"value\": \"Indigenous American or Native Alaskan\"\n },\n {\n \"id\": \"b6192296-4efa-4af5-ae02-1e31d28aae90\",\n \"name\": \"male\",\n \"type\": \"string\",\n \"value\": \"Men\"\n },\n {\n \"id\": \"4b322294-940c-459d-b083-8e91e38193f7\",\n \"name\": \"female\",\n \"type\": \"string\",\n \"value\": \"Women\"\n },\n {\n \"id\": \"1940eef0-6b76-4a26-9d8f-7c8536fbcb1b\",\n \"name\": \"trans\",\n \"type\": \"string\",\n \"value\": \"Transgender and/or Non-Binary\"\n },\n {\n \"id\": \"3dba3e18-2bb1-4078-bde9-9d187f9628dd\",\n \"name\": \"hetero\",\n \"type\": \"string\",\n \"value\": \"Heterosexual\"\n },\n {\n \"id\": \"9b7d10ad-1766-4b18-a230-3bd80142b48c\",\n \"name\": \"lgbtqia\",\n \"type\": \"string\",\n \"value\": \"LGBTQ+\"\n },\n {\n \"id\": \"458636f8-99e8-4245-9950-94e4cf68e371\",\n \"name\": \"nondisabled\",\n \"type\": \"string\",\n \"value\": \"Non-Disabled\"\n },\n {\n \"id\": \"a466e258-7de1-4453-a126-55f780094236\",\n \"name\": \"disabled\",\n \"type\": \"string\",\n \"value\": \"People with Disabilities\"\n },\n {\n \"id\": \"98735266-0451-432f-be7c-efcb09512cb1\",\n \"name\": \"caregiver\",\n \"type\": \"string\",\n \"value\": \"Caregivers\"\n },\n {\n \"id\": \"ebe2353c-9ff5-47bc-8c11-b66d3436f5b4\",\n \"name\": \"parent\",\n \"type\": \"string\",\n \"value\": \"Parents/Guardians\"\n },\n {\n \"id\": \"ab51c80c-d81d-41ab-94d9-c0a263743c17\",\n \"name\": \"nonparent\",\n \"type\": \"string\",\n \"value\": \"Not a Parent or Caregiver\"\n },\n {\n \"id\": \"cb7df429-c600-43f4-aa7e-dbc2382a85a0\",\n \"name\": \"nonveteran\",\n \"type\": \"string\",\n \"value\": \"Non-Veterans\"\n },\n {\n \"id\": \"dffbdb13-189a-462d-83d1-c5ec39a17d41\",\n \"name\": \"veteran\",\n \"type\": \"string\",\n \"value\": \"Veterans\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"862f1c77-44a8-4d79-abac-33351ebb731b\",\n \"name\": \"ScrapingBee Search Glassdoor\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 940,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://app.scrapingbee.com/api/v1\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"=https://www.glassdoor.com/Search/results.htm?keyword={{ $json.company_name.toLowerCase().urlEncode() }}\"\n },\n {\n \"name\": \"premium_proxy\",\n \"value\": \"true\"\n },\n {\n \"name\": \"block_resources\",\n \"value\": \"false\"\n },\n {\n \"name\": \"stealth_proxy\",\n \"value\": \"true\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XXXXXX\",\n \"name\": \"ScrapingBee Query Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4c9bf05e-9c50-4895-b20b-b7c329104615\",\n \"name\": \"Extract company url path\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1140,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"url_path\",\n \"attribute\": \"href\",\n \"cssSelector\": \"body main div a\",\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"d20bb0e7-4ca7-41d0-a3e9-41abc811b064\",\n \"name\": \"ScrapingBee GET company page contents\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1340,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://app.scrapingbee.com/api/v1\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"=https://www.glassdoor.com{{ $json.url_path }}\"\n },\n {\n \"name\": \"premium_proxy\",\n \"value\": \"true\"\n },\n {\n \"name\": \"block_resources\",\n \"value\": \"false\"\n },\n {\n \"name\": \"stealth_proxy\",\n \"value\": \"true\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XXXXXX\",\n \"name\": \"ScrapingBee Query Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fce70cab-8ce3-4ce2-b040-ce80d66b1e62\",\n \"name\": \"Extract reviews page url path\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1540,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"url_path\",\n \"attribute\": \"href\",\n \"cssSelector\": \"#reviews a\",\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"d2e7fee9-e3d4-42bf-8be6-38b352371273\",\n \"name\": \"ScrapingBee GET Glassdoor Reviews Content\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 380\n ],\n \"parameters\": {\n \"url\": \"https://app.scrapingbee.com/api/v1\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"url\",\n \"value\": \"=https://www.glassdoor.com{{ $json.url_path }}\"\n },\n {\n \"name\": \"premium_proxy\",\n \"value\": \"True\"\n },\n {\n \"name\": \"block_resources\",\n \"value\": \"False\"\n },\n {\n \"name\": \"stealth_proxy\",\n \"value\": \"true\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"XXXXXX\",\n \"name\": \"ScrapingBee Query Auth\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"0c322823-0569-4bd5-9c4e-af3de0f8d7b4\",\n \"name\": \"Extract Overall Review Summary\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1980,\n 260\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"review_summary\",\n \"cssSelector\": \"div[data-test=\\\"review-summary\\\"]\",\n \"returnValue\": \"html\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"851305ba-0837-4be9-943d-7282e8d74aee\",\n \"name\": \"Extract Demographics Module\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1980,\n 520\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"demographics_content\",\n \"cssSelector\": \"div[data-test=\\\"demographics-module\\\"]\",\n \"returnValue\": \"html\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"cf9a6ee2-53b5-4fbf-a36c-4b9dab53b795\",\n \"name\": \"Extract overall ratings and distribution percentages\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2200,\n 200\n ],\n \"parameters\": {\n \"text\": \"={{ $json.review_summary }}\",\n \"options\": {},\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The overall average rating for this company.\"\n },\n {\n \"name\": \"total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The total number of reviews for this company.\"\n },\n {\n \"name\": \"5_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 5 star reviews\"\n },\n {\n \"name\": \"4_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 4 star reviews\"\n },\n {\n \"name\": \"3_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 3 star reviews\"\n },\n {\n \"name\": \"2_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 2 star reviews\"\n },\n {\n \"name\": \"1_star_distribution_percentage\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"The percentage distribution of 1 star reviews\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ae164f6e-04e7-4d8b-951e-a17085956f4b\",\n \"name\": \"Extract demographic distributions\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2200,\n 620\n ],\n \"parameters\": {\n \"text\": \"={{ $json.demographics_content }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are an expert extraction algorithm.\\nOnly extract relevant information from the text.\\nIf you do not know the value of an attribute asked to extract, you may use 0 for the attribute's value.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"asian_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as asian.\"\n },\n {\n \"name\": \"asian_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as asian.\"\n },\n {\n \"name\": \"hispanic_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as hispanic.\"\n },\n {\n \"name\": \"hispanic_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as hispanic.\"\n },\n {\n \"name\": \"white_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as white.\"\n },\n {\n \"name\": \"white_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as white.\"\n },\n {\n \"name\": \"pacific_islander_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as native hawaiian or pacific islander.\"\n },\n {\n \"name\": \"pacific_islander_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as native hawaiian or pacific islander.\"\n },\n {\n \"name\": \"black_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as black.\"\n },\n {\n \"name\": \"black_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as black.\"\n },\n {\n \"name\": \"middle_eastern_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as middle eastern.\"\n },\n {\n \"name\": \"middle_eastern_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as middle_eastern.\"\n },\n {\n \"name\": \"indigenous_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as indigenous american or native alaskan.\"\n },\n {\n \"name\": \"indigenous_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as indigenous american or native alaskan.\"\n },\n {\n \"name\": \"male_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as men.\"\n },\n {\n \"name\": \"male_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as men.\"\n },\n {\n \"name\": \"female_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as women.\"\n },\n {\n \"name\": \"female_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as women.\"\n },\n {\n \"name\": \"trans_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as transgender and/or non-binary.\"\n },\n {\n \"name\": \"trans_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as trans and/or non-binary.\"\n },\n {\n \"name\": \"hetero_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as heterosexual.\"\n },\n {\n \"name\": \"hetero_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as heterosexual.\"\n },\n {\n \"name\": \"lgbtqia_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as lgbtqia+.\"\n },\n {\n \"name\": \"lgbtqia_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as lgbtqia+.\"\n },\n {\n \"name\": \"nondisabled_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as non-disabled.\"\n },\n {\n \"name\": \"nondisabled_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as non-disabled.\"\n },\n {\n \"name\": \"disabled_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as people with disabilities.\"\n },\n {\n \"name\": \"disabled_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as people with disabilities.\"\n },\n {\n \"name\": \"caregiver_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as caregivers.\"\n },\n {\n \"name\": \"caregiver_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as caregivers.\"\n },\n {\n \"name\": \"parent_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as parents/guardians.\"\n },\n {\n \"name\": \"parent_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as parents/guardians.\"\n },\n {\n \"name\": \"nonparent_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as not a parent or caregiver.\"\n },\n {\n \"name\": \"nonparent_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as not a parent or guardian.\"\n },\n {\n \"name\": \"nonveteran_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as non-veterans.\"\n },\n {\n \"name\": \"nonveteran_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as non-veterans.\"\n },\n {\n \"name\": \"veteran_average_rating\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The average rating for this company by employees who self identified as veterans.\"\n },\n {\n \"name\": \"veteran_total_number_of_reviews\",\n \"type\": \"number\",\n \"required\": true,\n \"description\": \"=The number of reviews for this company by employees who self-identified as veterans.\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c8d9e45c-7d41-47bd-b9a9-0fa70de5d154\",\n \"name\": \"Define contributions to variance\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2560,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"7360b2c2-1e21-45de-8d1a-e72b8abcb56b\",\n \"name\": \"contribution_to_variance.5_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['5_star_distribution_percentage'] / 100) * Math.pow(5 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"acdd308a-fa33-4e33-b71b-36b9441bfa06\",\n \"name\": \"contribution_to_variance.4_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['4_star_distribution_percentage'] / 100) * Math.pow(4 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"376818f3-d429-4abe-8ece-e8e9c5585826\",\n \"name\": \"contribution_to_variance.3_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['3_star_distribution_percentage'] / 100) * Math.pow(3 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"620d5c37-8b93-4d39-9963-b7ce3a7f431e\",\n \"name\": \"contribution_to_variance.2_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['2_star_distribution_percentage'] / 100) * Math.pow(2 - $json.output.average_rating,2) }}\"\n },\n {\n \"id\": \"76357980-4f9b-4b14-be68-6498ba25af67\",\n \"name\": \"contribution_to_variance.1_star\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output['1_star_distribution_percentage'] / 100) * Math.pow(1 - $json.output.average_rating,2) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"8ea03017-d5d6-46ef-a5f1-dae4372f6256\",\n \"name\": \"Set variance and std_dev\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2740,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"3217d418-f1b0-45ff-9f9a-6e6145cc29ca\",\n \"name\": \"variance\",\n \"type\": \"number\",\n \"value\": \"={{ $json.contribution_to_variance.values().sum() }}\"\n },\n {\n \"id\": \"acdb9fea-15ec-46ed-bde9-073e93597f17\",\n \"name\": \"average_rating\",\n \"type\": \"number\",\n \"value\": \"={{ $('Extract overall ratings and distribution percentages').item.json.output.average_rating }}\"\n },\n {\n \"id\": \"1f3a8a29-4bd4-4b40-8694-c74a0285eadb\",\n \"name\": \"total_number_of_reviews\",\n \"type\": \"number\",\n \"value\": \"={{ $('Extract overall ratings and distribution percentages').item.json.output.total_number_of_reviews }}\"\n },\n {\n \"id\": \"1906c796-1964-446b-8b56-d856269da938\",\n \"name\": \"std_dev\",\n \"type\": \"number\",\n \"value\": \"={{ Math.sqrt($json.contribution_to_variance.values().sum()) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"0570d531-8480-4446-8f02-18640b4b891e\",\n \"name\": \"Calculate P-Scores\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3340,\n 440\n ],\n \"parameters\": {\n \"jsCode\": \"// Approximate CDF for standard normal distribution\\nfunction normSDist(z) {\\n const t = 1 / (1 + 0.3275911 * Math.abs(z));\\n const d = 0.254829592 * t - 0.284496736 * t * t + 1.421413741 * t * t * t - 1.453152027 * t * t * t * t + 1.061405429 * t * t * t * t * t;\\n return 0.5 * (1 + Math.sign(z) * d * Math.exp(-z * z / 2));\\n}\\n\\nfor (const item of $input.all()) {\\n if (!item.json.population_analysis.p_scores) {\\n item.json.population_analysis.p_scores = {};\\n }\\n\\n for (const score of Object.keys(item.json.population_analysis.z_scores)) {\\n // Check if review count exists and is greater than zero\\n if (item.json.population_analysis.review_count[score] > 0) {\\n // Apply the p_score formula: 2 * NORM.S.DIST(-ABS(z_score))\\n const p_score = 2 * normSDist(-Math.abs(item.json.population_analysis.z_scores[score]));\\n\\n // Store the calculated p_score\\n item.json.population_analysis.p_scores[score] = p_score;\\n } else {\\n // Remove z_scores, effect_sizes, and p_scores for groups with no reviews\\n delete item.json.population_analysis.z_scores[score];\\n delete item.json.population_analysis.effect_sizes[score];\\n delete item.json.population_analysis.p_scores[score];\\n }\\n }\\n}\\n\\nreturn $input.all();\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"0bdb9732-67ef-440d-bdd2-42c4f64ff6b6\",\n \"name\": \"Sort Effect Sizes\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3540,\n 440\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"61cf92ba-bc4e-40b8-a234-9b993fd24019\",\n \"name\": \"population_analysis.effect_sizes\",\n \"type\": \"object\",\n \"value\": \"={{ Object.fromEntries(Object.entries($json.population_analysis.effect_sizes).sort(([,a],[,b]) => a-b )) }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"fd9026ef-e993-410a-87d6-40a3ad10b7a7\",\n \"name\": \"Calculate Z-Scores and Effect Sizes\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3140,\n 600\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"790a53e8-5599-45d3-880e-ab1ad7d165d2\",\n \"name\": \"population_analysis.z_scores.asian\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.asian_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.asian_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"ebd61097-8773-45b9-a8e6-cdd840d73650\",\n \"name\": \"population_analysis.effect_sizes.asian\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.asian_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"627b1293-efdc-485a-83c8-bd332d6dc225\",\n \"name\": \"population_analysis.z_scores.hispanic\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hispanic_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.hispanic_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"822028d0-e94f-4cf7-9e13-8f8cc5c72ec0\",\n \"name\": \"population_analysis.z_scores.white\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.white_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.white_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"d32321f9-0fcf-4e54-9059-c3fd5a901ce0\",\n \"name\": \"population_analysis.z_scores.pacific_islander\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.pacific_islander_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.pacific_islander_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"e212d683-247f-45c4-9668-c290230a10ed\",\n \"name\": \"population_analysis.z_scores.black\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.black_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.black_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"882049c3-eb81-4c09-af0c-5c79b0ef0154\",\n \"name\": \"population_analysis.z_scores.middle_eastern\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.middle_eastern_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.middle_eastern_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"9bdc187f-3d8d-4030-9143-479eff441b7e\",\n \"name\": \"population_analysis.z_scores.indigenous\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.indigenous_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.indigenous_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"0cf11453-dbae-4250-a01a-c98e35aab224\",\n \"name\": \"population_analysis.z_scores.male\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.male_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.male_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"35a18fbc-7c2c-40fe-829d-2fffbdb13bb8\",\n \"name\": \"population_analysis.z_scores.female\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.female_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.female_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"a6e17c1b-a89b-4c05-8184-10f7248c159f\",\n \"name\": \"population_analysis.z_scores.trans\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.trans_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.trans_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"5e7dbccf-3011-4dba-863c-5390c1ee9e50\",\n \"name\": \"population_analysis.z_scores.hetero\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hetero_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.hetero_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"1872152f-2c7e-4c24-bcd5-e2777616bfe2\",\n \"name\": \"population_analysis.z_scores.lgbtqia\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.lgbtqia_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.lgbtqia_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"91b2cb00-173e-421a-929a-51d2a6654767\",\n \"name\": \"population_analysis.z_scores.nondisabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nondisabled_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nondisabled_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"8bb7429e-0500-482c-8e8d-d2c63733ffe1\",\n \"name\": \"population_analysis.z_scores.disabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.disabled_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.disabled_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"89f00d0f-80db-4ad9-bf60-9385aa3d915b\",\n \"name\": \"population_analysis.z_scores.caregiver\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.caregiver_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.caregiver_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"0bb2b96c-d882-4ac1-9432-9fce06b26cf5\",\n \"name\": \"population_analysis.z_scores.parent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.parent_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.parent_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"9aae7169-1a25-4fab-b940-7f2cd7ef39d9\",\n \"name\": \"population_analysis.z_scores.nonparent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonparent_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nonparent_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"aac189a0-d6fc-4581-a15d-3e75a0cb370a\",\n \"name\": \"population_analysis.z_scores.nonveteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonveteran_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.nonveteran_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"d40f014a-9c1d-4aea-88ac-d8a3de143931\",\n \"name\": \"population_analysis.z_scores.veteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.veteran_average_rating - $json.average_rating) / ($json.std_dev / Math.sqrt($json.output.veteran_total_number_of_reviews)) }}\"\n },\n {\n \"id\": \"67e0394f-6d55-4e80-8a7d-814635620b1d\",\n \"name\": \"population_analysis.effect_sizes.hispanic\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hispanic_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"65cd3a22-2c97-4da1-8fcc-cc1af39118f2\",\n \"name\": \"population_analysis.effect_sizes.white\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.white_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"a03bdf0f-e294-4a01-bb08-ddc16e9997a5\",\n \"name\": \"population_analysis.effect_sizes.pacific_islander\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.pacific_islander_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"b0bdc40e-ed5f-475b-9d8b-8cf5beff7002\",\n \"name\": \"population_analysis.effect_sizes.black\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.black_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"45cac3f0-7270-4fa4-8fc4-94914245a77d\",\n \"name\": \"population_analysis.effect_sizes.middle_eastern\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.middle_eastern_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"cf5b7650-8766-45f6-8241-49aea62bf619\",\n \"name\": \"population_analysis.effect_sizes.indigenous\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.indigenous_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"7c6a8d38-02b7-47a1-af44-5eebfb4140ec\",\n \"name\": \"population_analysis.effect_sizes.male\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.male_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"4bf3dba9-4d07-4315-83ce-5fba288a00c9\",\n \"name\": \"population_analysis.effect_sizes.female\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.female_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"d5e980b8-d7a8-4d4c-bcd9-fd9cbd20c729\",\n \"name\": \"population_analysis.effect_sizes.trans\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.trans_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"2c8271c1-b612-4292-9d48-92c342b83727\",\n \"name\": \"population_analysis.effect_sizes.hetero\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.hetero_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"996f2ea0-2e46-424b-9797-2d58fd56b1d3\",\n \"name\": \"population_analysis.effect_sizes.lgbtqia\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.lgbtqia_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"8c987b6e-764d-422e-82de-00bd89269b22\",\n \"name\": \"population_analysis.effect_sizes.nondisabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nondisabled_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"ab796bb7-06ff-4282-b4b3-eefd129c743e\",\n \"name\": \"population_analysis.effect_sizes.disabled\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.disabled_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"a17bf413-a098-4f24-8162-821a6a0ddb5e\",\n \"name\": \"population_analysis.effect_sizes.caregiver\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.caregiver_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"99911e1e-06e8-4bbd-915d-b92b8b37b374\",\n \"name\": \"population_analysis.effect_sizes.parent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.parent_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"4ddf729b-361e-4d81-a67c-b6c18509e60b\",\n \"name\": \"population_analysis.effect_sizes.nonparent\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonparent_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"725b8abb-7f72-45fc-a0c0-0e0a4f2cb131\",\n \"name\": \"population_analysis.effect_sizes.nonveteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.nonveteran_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"20e54fa5-2faa-4134-90e5-81224ec9659e\",\n \"name\": \"population_analysis.effect_sizes.veteran\",\n \"type\": \"number\",\n \"value\": \"={{ ($json.output.veteran_average_rating - $json.average_rating) / $json.std_dev }}\"\n },\n {\n \"id\": \"2cc6465a-3a1c-4eb5-9e5a-72d41049d81e\",\n \"name\": \"population_analysis.review_count.asian\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.asian_total_number_of_reviews }}\"\n },\n {\n \"id\": \"0a5f6aae-ba21-47b5-8af8-fec2256e4df6\",\n \"name\": \"population_analysis.review_count.hispanic\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.hispanic_total_number_of_reviews }}\"\n },\n {\n \"id\": \"ae124587-7e24-4c1a-a002-ed801f859c30\",\n \"name\": \"population_analysis.review_count.pacific_islander\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.pacific_islander_total_number_of_reviews }}\"\n },\n {\n \"id\": \"fc790196-ca8e-4069-a093-87a413ebbf3e\",\n \"name\": \"population_analysis.review_count.black\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.black_total_number_of_reviews }}\"\n },\n {\n \"id\": \"7fd72701-781e-4e33-b000-174a853b172b\",\n \"name\": \"population_analysis.review_count.middle_eastern\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.middle_eastern_total_number_of_reviews }}\"\n },\n {\n \"id\": \"3751e7da-11a7-4af3-8aa6-1c6d53bcf27d\",\n \"name\": \"population_analysis.review_count.indigenous\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.indigenous_total_number_of_reviews }}\"\n },\n {\n \"id\": \"9ee0cac9-d2dd-4ba0-90ee-b2cdd22d9b77\",\n \"name\": \"population_analysis.review_count.male\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.male_total_number_of_reviews }}\"\n },\n {\n \"id\": \"ae7fcdc7-d373-4c24-9a65-94bd2b5847a8\",\n \"name\": \"population_analysis.review_count.female\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.female_total_number_of_reviews }}\"\n },\n {\n \"id\": \"3f53d065-269f-425a-b27d-dc5a3dbb6141\",\n \"name\": \"population_analysis.review_count.trans\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.trans_total_number_of_reviews }}\"\n },\n {\n \"id\": \"d15e976e-7599-4df0-9e65-8047b7a4cda8\",\n \"name\": \"population_analysis.review_count.hetero\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.hetero_total_number_of_reviews }}\"\n },\n {\n \"id\": \"c8b786d3-a980-469f-bf0e-de70ad44f0ea\",\n \"name\": \"population_analysis.review_count.lgbtqia\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.lgbtqia_total_number_of_reviews }}\"\n },\n {\n \"id\": \"e9429215-0858-4482-964a-75de7978ecbb\",\n \"name\": \"population_analysis.review_count.nondisabled\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.nondisabled_total_number_of_reviews }}\"\n },\n {\n \"id\": \"2c6e53c4-eab1-42aa-b956-ee882832f569\",\n \"name\": \"population_analysis.review_count.disabled\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.disabled_total_number_of_reviews }}\"\n },\n {\n \"id\": \"b5edfa25-ab11-4b94-9670-4d5589a62498\",\n \"name\": \"population_analysis.review_count.caregiver\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.caregiver_total_number_of_reviews }}\"\n },\n {\n \"id\": \"41084e96-c42f-4bb0-ac1a-883b46537fca\",\n \"name\": \"population_analysis.review_count.parent\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.parent_total_number_of_reviews }}\"\n },\n {\n \"id\": \"96496a38-9311-4ade-bd2f-2943d1d92314\",\n \"name\": \"population_analysis.review_count.nonparent\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.nonparent_total_number_of_reviews }}\"\n },\n {\n \"id\": \"5071771d-5f41-43cb-a8ce-e4e40ed3519b\",\n \"name\": \"population_analysis.review_count.nonveteran\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.nonveteran_total_number_of_reviews }}\"\n },\n {\n \"id\": \"2358e782-70da-4964-b625-5fe1946b5250\",\n \"name\": \"population_analysis.review_count.veteran\",\n \"type\": \"number\",\n \"value\": \"={{ $json.output.veteran_total_number_of_reviews }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"85536931-839a-476b-b0dd-fa6d01c6d5c1\",\n \"name\": \"Format dataset for scatterplot\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3340,\n 760\n ],\n \"parameters\": {\n \"jsCode\": \"// Iterate through the input data and format the dataset for QuickChart\\nfor (const item of $input.all()) {\\n // Ensure the data object exists and initialize datasets\\n item.json.data = {\\n datasets: []\\n };\\n\\n const z_scores = item.json.population_analysis.z_scores;\\n const effect_sizes = item.json.population_analysis.effect_sizes;\\n const review_count = item.json.population_analysis.review_count;\\n\\n // Ensure z_scores, effect_sizes, and review_count are defined and are objects\\n if (z_scores && effect_sizes && review_count && typeof z_scores === 'object' && typeof effect_sizes === 'object' && typeof review_count === 'object') {\\n // Initialize the dataset object\\n const dataset = {\\n label: 'Demographics Data',\\n data: []\\n };\\n\\n // Iterate through the demographic keys\\n for (const key in z_scores) {\\n // Check if review count for the demographic is greater than 0\\n if (z_scores.hasOwnProperty(key) && effect_sizes.hasOwnProperty(key) && review_count[key] > 0) {\\n\\n // Add each demographic point to the dataset\\n dataset.data.push({\\n x: z_scores[key], // x = z_score\\n y: effect_sizes[key], // y = effect_size\\n label: $('Define dictionary of demographic keys').first().json[key],\\n });\\n }\\n }\\n\\n // Only add the dataset if it contains data\\n if (dataset.data.length > 0) {\\n item.json.data.datasets.push(dataset);\\n }\\n\\n delete item.json.population_analysis\\n }\\n}\\n\\n// Return the updated input with the data object containing datasets and labels\\nreturn $input.all();\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"957b9f6c-7cf8-4ec6-aec7-a7d59ed3a4ad\",\n \"name\": \"Specify additional parameters for scatterplot\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3540,\n 760\n ],\n \"parameters\": {\n \"options\": {\n \"ignoreConversionErrors\": false\n },\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5cd507f6-6835-4d2e-8329-1b5d24a3fc15\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"scatter\"\n },\n {\n \"id\": \"80b6f981-e3c7-4c6e-a0a1-f30d028fe15e\",\n \"name\": \"options\",\n \"type\": \"object\",\n \"value\": \"={\\n \\\"title\\\": {\\n \\\"display\\\": true,\\n \\\"position\\\": \\\"top\\\",\\n \\\"fontSize\\\": 12,\\n \\\"fontFamily\\\": \\\"sans-serif\\\",\\n \\\"fontColor\\\": \\\"#666666\\\",\\n \\\"fontStyle\\\": \\\"bold\\\",\\n \\\"padding\\\": 10,\\n \\\"lineHeight\\\": 1.2,\\n \\\"text\\\": \\\"{{ $('SET company_name').item.json.company_name }} Workplace Population Bias\\\"\\n },\\n \\\"legend\\\": {\\n \\\"display\\\": false\\n },\\n \\\"scales\\\": {\\n \\\"xAxes\\\": [\\n {\\n \\\"scaleLabel\\\": {\\n \\\"display\\\": true,\\n \\\"labelString\\\": \\\"Z-Score\\\",\\n \\\"fontColor\\\": \\\"#666666\\\",\\n \\\"fontSize\\\": 12,\\n \\\"fontFamily\\\": \\\"sans-serif\\\"\\n }\\n }\\n ],\\n \\\"yAxes\\\": [\\n {\\n \\\"scaleLabel\\\": {\\n \\\"display\\\": true,\\n \\\"labelString\\\": \\\"Effect Score\\\",\\n \\\"fontColor\\\": \\\"#666666\\\",\\n \\\"fontSize\\\": 12,\\n \\\"fontFamily\\\": \\\"sans-serif\\\"\\n }\\n }\\n ]\\n },\\n \\\"plugins\\\": {\\n \\\"datalabels\\\": {\\n \\\"display\\\": true,\\n \\\"align\\\": \\\"top\\\",\\n \\\"anchor\\\": \\\"center\\\",\\n \\\"backgroundColor\\\": \\\"#eee\\\",\\n \\\"borderColor\\\": \\\"#ddd\\\",\\n \\\"borderRadius\\\": 6,\\n \\\"borderWidth\\\": 1,\\n \\\"padding\\\": 4,\\n \\\"color\\\": \\\"#000\\\",\\n \\\"font\\\": {\\n \\\"family\\\": \\\"sans-serif\\\",\\n \\\"size\\\": 10,\\n \\\"style\\\": \\\"normal\\\"\\n }\\n }\\n }\\n }\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"a937132c-43fc-4fa0-ae35-885da89e51d1\",\n \"name\": \"Quickchart Scatterplot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3740,\n 760\n ],\n \"parameters\": {\n \"url\": \"https://quickchart.io/chart\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"c\",\n \"value\": \"={{ $json.toJsonString() }}\"\n },\n {\n \"name\": \"Content-Type\",\n \"value\": \"application/json\"\n },\n {\n \"name\": \"encoding\",\n \"value\": \"url\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ede1931e-bac8-4279-b3a7-5980a190e324\",\n \"name\": \"QuickChart Bar Chart\",\n \"type\": \"n8n-nodes-base.quickChart\",\n \"position\": [\n 3740,\n 560\n ],\n \"parameters\": {\n \"data\": \"={{ $json.population_analysis.effect_sizes.values() }}\",\n \"output\": \"bar_chart\",\n \"labelsMode\": \"array\",\n \"labelsArray\": \"={{ $json.population_analysis.effect_sizes.keys() }}\",\n \"chartOptions\": {\n \"format\": \"png\"\n },\n \"datasetOptions\": {\n \"label\": \"={{ $('SET company_name').item.json.company_name }} Effect Size on Employee Experience\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6122fec0-619c-48d3-ad2c-05ed55ba2275\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 480,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 3741.593083126444,\n \"height\": 1044.8111554136713,\n \"content\": \"# Spot Workplace Discrimination Patterns using ScrapingBee, Glassdoor, OpenAI, and QuickChart\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5cda63e8-f31b-46f6-8cb2-41d1856ac537\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 900,\n 180\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 1237.3377621763516,\n \"height\": 575.9439659309116,\n \"content\": \"## Use ScrapingBee to gather raw data from Glassdoor\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"28d247b2-9020-4280-83d2-d6583622c0b7\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n 240\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 804.3951263154196,\n \"height\": 125.73173301324687,\n \"content\": \"### Due to javascript restrictions, a normal HTTP request cannot be used to gather user-reported details from Glassdoor. \\n\\nInstead, [ScrapingBee](https://www.scrapingbee.com/) offers a great tool with a very generous package of free tokens per month, which works out to roughly 4-5 runs of this workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d65a239c-06d2-470b-b24a-23ec00a9f148\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2180,\n 99.69933502879758\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 311.0523273992095,\n \"height\": 843.8786512173932,\n \"content\": \"## Extract details with AI\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3cffd188-62a1-43a7-a67f-548e21d2b187\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2516.1138215303854,\n 100\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 423.41585047129973,\n \"height\": 309.71740416262054,\n \"content\": \"### Calculate variance and standard deviation from review rating distributions.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b5015c07-03e3-47d4-9469-e831b2c755c0\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3320,\n 706.46982689582\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 639.5579220386832,\n \"height\": 242.80759628871897,\n \"content\": \"## Formatting datasets for Scatterplot\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e52bb9d9-617a-46f5-b217-a6f670b6714c\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 120\n ],\n \"parameters\": {\n \"width\": 356.84794255678776,\n \"height\": 186.36110628732342,\n \"content\": \"## How this workflow works\\n1. Replace ScrapingBee and OpenAI credentials\\n2. Replace company_name with company of choice (workflow performs better with larger US-based organizations)\\n3. Preview QuickChart data visualizations and AI data analysis\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d83c07a3-04ed-418f-94f1-e70828cba8b2\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 880\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 356.84794255678776,\n \"height\": 181.54335665904924,\n \"content\": \"### Inspired by [Wes Medford's Medium Post](https://medium.com/@wryanmedford/an-open-letter-to-twilios-leadership-f06f661ecfb4)\\n\\nWes performed the initial data analysis highlighting problematic behaviors at Twilio. I wanted to try and democratize the data analysis they performed for those less technical.\\n\\n**Hi, Wes!**\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ed0c1b4a-99fe-4a27-90bb-ac38dd20810b\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4020,\n 880\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 847.5931795867759,\n \"height\": 522.346478008115,\n \"content\": \"%20%7B%0A%20%20%20%20%20%20%20%20%20%20var%20idx%20%3D%20context.dataIndex%3B%0A%20%20%20%20%20%20%20%20%20%20return%20context.chart.data.labels%5Bidx%5D%3B%0A%20%20%20%20%20%20%20%20%7D%0A%20%20%20%20%20%20%7D%0A%20%20%20%20%7D%0A%20%20%7D%0A%7D%0A#full-width)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7b92edf8-3a58-4931-abf4-d9c2f57cfa32\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3980,\n 800\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 989.7621518164046,\n \"height\": 636.6345107975716,\n \"content\": \"## Example Scatterplot output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bd6859b4-096c-401e-9bce-91e970e1afd1\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2540,\n 800\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 737.6316136259719,\n \"height\": 444.9087184962878,\n \"content\": \"## Glossary\\n**Z-Score** – A statistical measure that indicates how many standard deviations a data point is from the mean. In this analysis, a negative z-score suggests a group rates their workplace experience lower than the average, while a positive z-score suggests a better-than-average experience.\\n\\n**Effect Size** – A measure of the magnitude of difference between groups. Larger negative effect sizes indicate a more substantial disparity in workplace experiences for certain groups, making it useful for identifying meaningful gaps beyond just statistical significance.\\n\\n**P-Score (P-Value)** – The probability that the observed differences occurred by chance. A lower p-score (typically below 0.05) suggests the difference is statistically significant and unlikely to be random. In this analysis, high p-scores confirm that the disparities in ratings for marginalized groups are unlikely to be due to chance alone.\\n\\n### Relevance to This Analysis\\nThese metrics help quantify workplace disparities among demographic groups. Z-scores show which groups report better or worse experiences, effect sizes reveal the severity of these differences, and p-scores confirm whether the disparities are statistically meaningful. This data allows for a more informed discussion about workplace equity and areas needing improvement.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5af3ef87-ed4b-481e-b1ba-d44ffb7551d8\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4140,\n 80\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 643.5995639515581,\n \"height\": 646.0030521944287,\n \"content\": \"## Example AI Analysis (Twilio Example)\\n\\n### Key Takeaways\\n1. **Significant Disparity Among Disabled Employees**\\nDisabled employees reported the lowest average ratings, with a z-score of -5.50, indicating a far worse experience compared to their non-disabled peers. \\n2. **LGBTQIA Community's Challenges**\\nMembers of the LGBTQIA community showed significantly lower ratings (z-score of -2.53), suggesting they may experience a workplace environment that is less inclusive or supportive compared to others.\\n3. **Transgender Experiences Are Particularly Negative**\\nTransgender employees rated their experiences considerably lower (z-score of -2.91), highlighting a critical area for improvement in workplace culture and acceptance.\\n4. **Veterans Report Higher Satisfaction**\\nIn contrast, veterans had the highest ratings (z-score of 1.54), which could indicate a supportive environment or programs tailored to their needs.\\n5. **Overall Gender Discrepancies**\\nA noticeable gap exists in average ratings by gender, with female employees scoring below male employees, suggesting potential gender biases or challenges in workplace dynamics.\\n\\n### Employee Experiences\\n#### Perceptions of Workplace Environment\\nFor members of groups reporting significantly worse experiences, such as disabled, transgender, and LGBTQIA employees, the workplace may feel alienating or unwelcoming. These individuals might perceive that their contributions are undervalued or overlooked and that necessary support systems are lacking, creating a culture of exclusion rather than one of inclusivity. This feeling of being marginalized can lead to poorer engagement, higher turnover rates, and diminished overall job satisfaction, adversely impacting both employees and the organization.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a39cdbe7-d6ae-4a84-98c7-52ebf98242f3\",\n \"name\": \"Text Analysis of Bias Data\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 3720,\n 280\n ],\n \"parameters\": {\n \"text\": \"=This data compares the average rating given by different demographic groups against a baseline (the overall mean rating).\\n\\nObjective:\\n1. Analyze the data and offer between 2 and 5 key takeaways with a title and short (one-sentence) summary.\\n2. Below the key takeaways, Include a heading called \\\"Employee Experiences\\\". Under this heading, include a subheader and paragraph describing the possible perception of the workplace for members of any groups reporting significantly worse (or better) experiences than others.\\n3. Ensure there are between 2-5 key takeaways and employee experiences\\n\\nData for analysis:\\n{{ $json.population_analysis.toJsonString() }}\",\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.4\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"ff1df786-ebaf-4ed0-aeca-1872b93ef275\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Calculate Z-Scores and Effect Sizes\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"SET company_name\": {\n \"main\": [\n [\n {\n \"node\": \"Define dictionary of demographic keys\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Text Analysis of Bias Data\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Sort Effect Sizes\": {\n \"main\": [\n [\n {\n \"node\": \"QuickChart Bar Chart\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Text Analysis of Bias Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calculate P-Scores\": {\n \"main\": [\n [\n {\n \"node\": \"Sort Effect Sizes\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Extract demographic distributions\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model2\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Extract overall ratings and distribution percentages\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract company url path\": {\n \"main\": [\n [\n {\n \"node\": \"ScrapingBee GET company page contents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set variance and std_dev\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Demographics Module\": {\n \"main\": [\n [\n {\n \"node\": \"Extract demographic distributions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"ScrapingBee Search Glassdoor\": {\n \"main\": [\n [\n {\n \"node\": \"Extract company url path\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract reviews page url path\": {\n \"main\": [\n [\n {\n \"node\": \"ScrapingBee GET Glassdoor Reviews Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Overall Review Summary\": {\n \"main\": [\n [\n {\n \"node\": \"Extract overall ratings and distribution percentages\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Format dataset for scatterplot\": {\n \"main\": [\n [\n {\n \"node\": \"Specify additional parameters for scatterplot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Define contributions to variance\": {\n \"main\": [\n [\n {\n \"node\": \"Set variance and std_dev\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract demographic distributions\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"SET company_name\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Calculate Z-Scores and Effect Sizes\": {\n \"main\": [\n [\n {\n \"node\": \"Calculate P-Scores\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Format dataset for scatterplot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Define dictionary of demographic keys\": {\n \"main\": [\n [\n {\n \"node\": \"ScrapingBee Search Glassdoor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"ScrapingBee GET company page contents\": {\n \"main\": [\n [\n {\n \"node\": \"Extract reviews page url path\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"ScrapingBee GET Glassdoor Reviews Content\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Demographics Module\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Extract Overall Review Summary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Specify additional parameters for scatterplot\": {\n \"main\": [\n [\n {\n \"node\": \"Quickchart Scatterplot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract overall ratings and distribution percentages\": {\n \"main\": [\n [\n {\n \"node\": \"Define contributions to variance\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Spot Workplace Discrimination Patterns with AI", "node_count": 38, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger to serpbear analytics template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 10\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"qmmXKcpJOCm9qaCk\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"SERPBear analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"2ad0eb40-6628-4c6b-bc15-7081e7712f1a\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 260,\n 380\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"5a3c9ad8-a562-4bb0-bb11-c325552d8101\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 260,\n 160\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"bdfa7388-f9b3-4145-90de-2e58138e14bf\",\n \"name\": \"Get data from SerpBear\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 580,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://myserpbearinstance.com/api/keyword?id=22\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"domain\",\n \"value\": \"rumjahn.com\"\n }\n ]\n }\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"3fshHb4fyI5XfLyq\",\n \"name\": \"Header Auth account 6\"\n }\n },\n \"executeOnce\": false,\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"c169f4e3-ab60-4b46-9f49-cf27a13dd7c6\",\n \"name\": \"Parse data from SerpBear\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 820,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"const keywords = items[0].json.keywords;\\nconst today = new Date().toISOString().split('T')[0];\\n\\n// Create summary for each keyword\\nconst keywordSummaries = keywords.map(kw => {\\n const position = kw.position || 0;\\n const lastWeekPositions = Object.values(kw.history || {}).slice(-7);\\n const avgPosition = lastWeekPositions.reduce((a, b) => a + b, 0) / lastWeekPositions.length;\\n \\n return {\\n keyword: kw.keyword,\\n currentPosition: position,\\n averagePosition: Math.round(avgPosition * 10) / 10,\\n trend: position < avgPosition ? 'improving' : position > avgPosition ? 'declining' : 'stable',\\n url: kw.url || 'not ranking'\\n };\\n});\\n\\n// Create the prompt\\nconst prompt = `Here's the SEO ranking data for rumjahn.com as of ${today}:\\n\\n${keywordSummaries.map(kw => `\\nKeyword: \\\"${kw.keyword}\\\"\\nCurrent Position: ${kw.currentPosition}\\n7-Day Average: ${kw.averagePosition}\\nTrend: ${kw.trend}\\nRanking URL: ${kw.url}\\n`).join('\\\\n')}\\n\\nPlease analyze this data and provide:\\n1. Key observations about ranking performance\\n2. Keywords showing the most improvement\\n3. Keywords needing attention\\n4. Suggested actions for improvement`;\\n\\nreturn {\\n prompt\\n};\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"cc6e16a7-db46-42fe-837a-59ce635c906c\",\n \"name\": \"Send data to A.I. for analysis\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1060,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. This is keyword data for my site. Can you summarize the data into a table and then give me some suggestions:{{ encodeURIComponent($json.prompt)}}\\\" \\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"WY7UkF14ksPKq3S8\",\n \"name\": \"Header Auth account 2\"\n }\n },\n \"typeVersion\": 4.2,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"a623f06c-1dfe-4d04-a7fd-fed7049a7588\",\n \"name\": \"Save data to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 1340,\n 260\n ],\n \"parameters\": {\n \"tableId\": 644,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 6264,\n \"fieldValue\": \"={{ DateTime.now().toFormat('yyyy-MM-dd') }}\"\n },\n {\n \"fieldId\": 6265,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 6266,\n \"fieldValue\": \"Rumjahn\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"credentials\": {\n \"baserowApi\": {\n \"id\": \"8w0zXhycIfCAgja3\",\n \"name\": \"Baserow account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e8048faf-bbed-4e48-b273-d1a50a767e76\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 220,\n -360\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 614.709677419355,\n \"height\": 208.51612903225802,\n \"content\": \"## Send Matomo analytics to A.I. and save results to baserow\\n\\nThis workflow will check the Google keywords for your site and it's rank.\\n\\n[💡 You can read more about this workflow here](https://rumjahn.com/how-to-create-an-a-i-agent-to-analyze-serpbear-keyword-rankings-using-n8n-for-free-without-any-coding-skills-required/)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1a18e685-79db-423f-992a-5e0d4ddeb672\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 520,\n -80\n ],\n \"parameters\": {\n \"width\": 214.75050403225822,\n \"height\": 531.7318548387107,\n \"content\": \"## Get SERPBear Data\\n \\n1. Enter your SerpBear API keys and URL. You need to find your website ID which is probably 1.\\n2. Navigate to Administration > Personal > Security > Auth tokens within your Matomo dashboard. Click on Create new token and provide a purpose for reference.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"99895baf-75d0-4af2-87de-5b8951186e78\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 980,\n -60\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 225.99936321742769,\n \"height\": 508.95792207792226,\n \"content\": \"## Send data to A.I.\\n\\nFill in your Openrouter A.I. credentials. Use Header Auth.\\n- Username: Authorization\\n- Password: Bearer {insert your API key}\\n\\nRemember to add a space after bearer. Also, feel free to modify the prompt to A.1.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"07d03511-98b0-4f4a-8e68-96ca177fb246\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1240,\n -40\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 331.32883116883124,\n \"height\": 474.88,\n \"content\": \"## Send data to Baserow\\n\\nCreate a table first with the following columns:\\n- Date\\n- Note\\n- Blog\\n\\nEnter the name of your website under \\\"Blog\\\" field.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"8b7e7da7-1965-4ca4-8e15-889eda819723\",\n \"connections\": {\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get data from SerpBear\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get data from SerpBear\": {\n \"main\": [\n [\n {\n \"node\": \"Parse data from SerpBear\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse data from SerpBear\": {\n \"main\": [\n [\n {\n \"node\": \"Send data to A.I. for analysis\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send data to A.I. for analysis\": {\n \"main\": [\n [\n {\n \"node\": \"Save data to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get data from SerpBear\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "SERPBear analytics template", "node_count": 10, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger to umami analytics template", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.baserow, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"eZT6SZ4Kvmq5TzyQ\",\n \"meta\": {\n \"instanceId\": \"558d88703fb65b2d0e44613bc35916258b0f0bf983c5d4730c00c424b77ca36a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Umami analytics template\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"8a54ac1c-a072-42e6-a3ba-8cde33475eb5\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 460,\n 220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e81c9be0-f59d-467e-9bda-eeb2d66ed31e\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 460,\n 380\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 4\n ]\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"01b04872-9aea-4834-8df5-f6c91914133d\",\n \"name\": \"Get view stats from Umami\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 760,\n 260\n ],\n \"parameters\": {\n \"url\": \"=https://umami.mydomain.com/api/websites/86d4095c-a2a8-4fc8-9521-103e858e2b41/event-data/stats?startAt={{ DateTime.now().minus({ days: 7 }).toMillis() }}&endAt={{ DateTime.now().toMillis() }}&unit=hour&timezone=Asia%2FHong_Kong\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"FKsKXvQUlaX5qt9n\",\n \"name\": \"Header Auth account 3\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"38d342e3-10ad-4260-8f44-5a3233ec3166\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 660,\n -260\n ],\n \"parameters\": {\n \"width\": 504.88636363636317,\n \"content\": \"## Send data from Umami to A.I. and then save to Baserow\\n\\nYou can find out more about the stats available in the [Umami API](https://umami.is/docs/api/website-stats-api)\\n\\nRead the [case study here](https://rumjahn.com/how-to-analyze-umami-data-using-n8n-and-a-i-to-improve-seo-and-uncover-hidden-insights-for-better-content-optimization/).\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"18c997fe-61b1-464a-8bb5-fcdc017dd1f6\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 660,\n -60\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 393.16558441558414,\n \"height\": 504.17207792207796,\n \"content\": \"## Get summary stats from Umami\\n\\nIt will get: Pageviews, Visitors, Visits, Bounces, Total Time\\n\\nYou need to change the URL to your website. https://{your website}/api/websites/{website ID}/\\n\\nYou can find your ID by going to your Umami account -> Settings -> Edit (next to domain)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bfdc04a2-57fa-4a8a-b412-39047cebb370\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1080,\n -60\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 216.5746753246753,\n \"height\": 502.37012987012963,\n \"content\": \"## Send data to A.I.\\n\\nTo use Openrouter, you need to register for an account.\\nThen add header authorization credentials.\\nUsername: Authroization\\nPassword: Bearer {Your API Key}\\n*It's Bearer space {API key}.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fc373fd7-52fc-4729-8022-021c09d0c89c\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1320,\n -60\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 746.3474025974022,\n \"height\": 505.9740259740257,\n \"content\": \"## Get page specific stats for this week and last\\n\\nCalls Umami to get this week and last week's data. It will get the views for each page visited on your website for comparison.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"82bd35b6-8b49-4d77-8be2-033a8bff3f41\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2120,\n -60\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 216.5746753246753,\n \"height\": 502.37012987012963,\n \"content\": \"## Send data to A.I.\\n\\nTo use Openrouter, you need to register for an account.\\nThen add header authorization credentials.\\nUsername: Authroization\\nPassword: Bearer {Your API Key}\\n*It's Bearer space {API key}.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"503c4ca3-36da-41a8-9029-f844a34daa59\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2380,\n -60\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 393.16558441558414,\n \"height\": 504.17207792207796,\n \"content\": \"## Save analysis to baserow\\n\\nYou need to create a table in advance to save. \\n- Date (date)\\n- Summary (Long text)\\n- Top pages (Long text)\\n- Blog name (Long text)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f64cdfbd-712f-461c-b025-25f37e2bded8\",\n \"name\": \"Parse Umami data\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 940,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"function transformToUrlString(items) {\\n // In n8n, we need to check if items is an array and get the json property\\n const data = items[0].json;\\n \\n if (!data) {\\n console.log('No valid data found');\\n return encodeURIComponent(JSON.stringify([]));\\n }\\n \\n try {\\n // Create a simplified object with the metrics\\n const simplified = {\\n pageviews: {\\n value: parseInt(data.pageviews.value) || 0,\\n prev: parseInt(data.pageviews.prev) || 0\\n },\\n visitors: {\\n value: parseInt(data.visitors.value) || 0,\\n prev: parseInt(data.visitors.prev) || 0\\n },\\n visits: {\\n value: parseInt(data.visits.value) || 0,\\n prev: parseInt(data.visits.prev) || 0\\n },\\n bounces: {\\n value: parseInt(data.bounces.value) || 0,\\n prev: parseInt(data.bounces.prev) || 0\\n },\\n totaltime: {\\n value: parseInt(data.totaltime.value) || 0,\\n prev: parseInt(data.totaltime.prev) || 0\\n }\\n };\\n \\n return encodeURIComponent(JSON.stringify(simplified));\\n } catch (error) {\\n console.log('Error processing data:', error);\\n throw new Error('Invalid data structure');\\n }\\n}\\n\\n// Get the input data\\nconst items = $input.all();\\n\\n// Process the data\\nconst result = transformToUrlString(items);\\n\\n// Return the result\\nreturn { json: { urlString: result } };\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"470715b6-0878-48b8-b6c6-40de27fbc966\",\n \"name\": \"Send data to A.I.\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1140,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Here is data from Umami analytics of Pennibnotes.com. Where X is URL and Y is number of visitors. Give me a table summary of this data in markdown format:{{ $('Parse Umami data').item.json.urlString }}.\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"WY7UkF14ksPKq3S8\",\n \"name\": \"Header Auth account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ea4bb37f-96d9-41b8-bf46-fb09865a6e0f\",\n \"name\": \"Get page data from Umami\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1380,\n 260\n ],\n \"parameters\": {\n \"url\": \"=https://umami.rumjahn.synology.me/api/websites/f375d28c-1949-4597-8871-f1b942e3aa24/metrics?startAt={{Date.now() - (7 * 24 * 60 * 60 * 1000)}}&endAt={{Date.now()}}&type=url&tz=America/Los_Angeles\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"FKsKXvQUlaX5qt9n\",\n \"name\": \"Header Auth account 3\"\n }\n },\n \"typeVersion\": 4\n },\n {\n \"id\": \"d982606b-49c8-4d5b-ba79-bd0fdd2600b6\",\n \"name\": \"Parse Umami data1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1560,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"// Get input data\\nconst data = $input.all();\\n\\n// Create URL-encoded string from the data\\nconst encodedData = encodeURIComponent(JSON.stringify(data));\\n\\n// Return the encoded data\\nreturn {\\n json: {\\n thisWeek: encodedData\\n }\\n};\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"f3734045-1318-4234-a3ac-61b766124609\",\n \"name\": \"Get page view data from Umami\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 260\n ],\n \"parameters\": {\n \"url\": \"=https://umami.rumjahn.synology.me/api/websites/f375d28c-1949-4597-8871-f1b942e3aa24/metrics?startAt={{Date.now() - (14 * 24 * 60 * 60 * 1000)}}&endAt={{Date.now() - (7 * 24 * 60 * 60 * 1000)}}&type=url&tz=America/Los_Angeles\",\n \"options\": {},\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"FKsKXvQUlaX5qt9n\",\n \"name\": \"Header Auth account 3\"\n }\n },\n \"typeVersion\": 4\n },\n {\n \"id\": \"a0153ab0-3eaf-4f97-a2dc-ab63d45a9187\",\n \"name\": \"Parse Umami\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1920,\n 260\n ],\n \"parameters\": {\n \"jsCode\": \"// Get input data\\nconst data = $input.all();\\n\\n// Create URL-encoded string from the data\\nconst encodedData = encodeURIComponent(JSON.stringify(data));\\n\\n// Return the encoded data\\nreturn {\\n json: {\\n lastweek: encodedData\\n }\\n};\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c2d3d396-09fa-4800-b56d-40ed7592cd3c\",\n \"name\": \"Send data to A.I.1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2180,\n 260\n ],\n \"parameters\": {\n \"url\": \"https://openrouter.ai/api/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"meta-llama/llama-3.1-70b-instruct:free\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"You are an SEO expert. Here is data from Umami analytics of Pennibnotes.com. Where X is URL and Y is number of visitors. Compare the data from this week to last week. Present the data in a table using markdown and offer 5 improvement suggestions. This week:{{ $('Parse Umami data1').first().json.thisWeek }} Lastweek:{{ $json.lastweek }}\\\"\\n }\\n ]\\n}\\n\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"WY7UkF14ksPKq3S8\",\n \"name\": \"Header Auth account 2\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ce58a556-c05a-4395-88b0-3edecbad80e5\",\n \"name\": \"Save data to Baserow\",\n \"type\": \"n8n-nodes-base.baserow\",\n \"position\": [\n 2520,\n 260\n ],\n \"parameters\": {\n \"tableId\": 607,\n \"fieldsUi\": {\n \"fieldValues\": [\n {\n \"fieldId\": 5870,\n \"fieldValue\": \"={{ $json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5869,\n \"fieldValue\": \"={{ $('Send data to A.I.').first().json.choices[0].message.content }}\"\n },\n {\n \"fieldId\": 5868,\n \"fieldValue\": \"={{ DateTime.now().toFormat('yyyy-MM-dd') }}\"\n },\n {\n \"fieldId\": 5871,\n \"fieldValue\": \"Name of your blog\"\n }\n ]\n },\n \"operation\": \"create\",\n \"databaseId\": 121\n },\n \"credentials\": {\n \"baserowApi\": {\n \"id\": \"8w0zXhycIfCAgja3\",\n \"name\": \"Baserow account\"\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"e28e067d-9245-4879-9321-4d21925f951e\",\n \"connections\": {\n \"Parse Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Send data to A.I.1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Umami data\": {\n \"main\": [\n [\n {\n \"node\": \"Send data to A.I.\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get view stats from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse Umami data1\": {\n \"main\": [\n [\n {\n \"node\": \"Get page view data from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send data to A.I.\": {\n \"main\": [\n [\n {\n \"node\": \"Get page data from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Send data to A.I.1\": {\n \"main\": [\n [\n {\n \"node\": \"Save data to Baserow\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get page data from Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Umami data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get view stats from Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Umami data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get page view data from Umami\": {\n \"main\": [\n [\n {\n \"node\": \"Parse Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get view stats from Umami\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Umami analytics template", "node_count": 17, "category": "General Automation"}} {"prompt": "How would you build: Survey Insights With Qdrant, Python And Information Extractor?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 42\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreQdrant, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.splitInBatches, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, n8n-nodes-base.executeWorkflow, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"0404384b-10b6-4666-84a4-8870db30c607\",\n \"name\": \"Embeddings OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 1220,\n 280\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a6741f04-5a5b-47a9-ac08-eb562f9f6052\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 1340,\n 280\n ],\n \"parameters\": {\n \"options\": {\n \"metadata\": {\n \"metadataValues\": [\n {\n \"name\": \"question\",\n \"value\": \"={{ $json.question }}\"\n },\n {\n \"name\": \"participant\",\n \"value\": \"={{ $json.participant }}\"\n },\n {\n \"name\": \"survey\",\n \"value\": \"={{ $('Get Survey Results').params.documentId.cachedResultName }}\"\n }\n ]\n }\n },\n \"jsonData\": \"={{ $json.answer }}\",\n \"jsonMode\": \"expressionData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7663c3dd-f713-4034-bef6-0c000285f54f\",\n \"name\": \"Convert to Question Answer Pairs\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 720,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6b593ffb-ffbd-4cf5-a508-cd4f2a6d1004\",\n \"name\": \"data\",\n \"type\": \"array\",\n \"value\": \"={{\\n Object.keys($json)\\n .filter(key => !['row_number', 'Participant'].includes(key))\\n .map(key => ({ question: key, answer: $json[key], participant: $json.Participant }))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"84873f0c-81ce-442f-a33c-d7c6c2efa11b\",\n \"name\": \"Recursive Character Text Splitter\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 1340,\n 420\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"da9a8ee8-5e3f-49db-8d1f-26a61ca82344\",\n \"name\": \"Get Survey Results\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 540,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1-168Vm-1kCeHkqGLAs6odha4DhPE93njfHlYIviKE50/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1-168Vm-1kCeHkqGLAs6odha4DhPE93njfHlYIviKE50\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1-168Vm-1kCeHkqGLAs6odha4DhPE93njfHlYIviKE50/edit?usp=drivesdk\",\n \"cachedResultName\": \"Remote Working Survey Responses\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"4bad90b2-eefe-49c8-8caa-41cd4cb5e60f\",\n \"name\": \"Get Survey Headers\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 740,\n 940\n ],\n \"parameters\": {\n \"options\": {\n \"dataLocationOnSheet\": {\n \"values\": {\n \"range\": \"A1:Z2\",\n \"rangeDefinition\": \"specifyRangeA1\"\n }\n }\n },\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetName }}\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"47c64994-9d1f-42ca-a849-3eeab5335b66\",\n \"name\": \"Extract Questions\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 940,\n 940\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"d655b165-dfa2-46cb-bc27-140399bc4227\",\n \"name\": \"question\",\n \"type\": \"array\",\n \"value\": \"={{\\n Object.keys($('Get Survey Headers').item.json)\\n .filter(key => key.includes('?'))\\n}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"c237d523-b290-41ca-b323-4cc7c7f6ff37\",\n \"name\": \"Questions to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 940,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"question\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7f44a770-4c5d-4404-ae95-d9dee8348380\",\n \"name\": \"Find All Answers\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1460,\n 1120\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').item.json.collectionName }}/points/scroll\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"limit\\\": 500,\\n \\\"filter\\\":{\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"metadata.question\\\",\\n \\\"match\\\": { \\\"value\\\": \\\"{{ $('For Each Question...').item.json.question }}\\\" }\\n },\\n {\\n \\\"key\\\": \\\"metadata.survey\\\",\\n \\\"match\\\": { \\\"value\\\": \\\"{{ $('Set Variables').item.json.surveyName }}\\\" }\\n }\\n ]\\n },\\n \\\"with_vector\\\":true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"2b6dc317-f8f3-4201-a9e1-d35ee578e79e\",\n \"name\": \"Get Payload of Points\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2380,\n 800\n ],\n \"parameters\": {\n \"url\": \"=http://qdrant:6333/collections/{{ $('Set Variables').first().json.collectionName }}/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n {\\n \\\"ids\\\": $json.points,\\n \\\"with_payload\\\": true\\n }\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d4a37d97-975a-4243-a7ea-81b3e30558a5\",\n \"name\": \"Clusters To List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 2180,\n 800\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"output\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c78f1bf6-8390-48ee-88f4-7d1a893a8ade\",\n \"name\": \"Set Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 200,\n 1060\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"b77c94a0-d865-4bd6-b078-a09b2ddb2a99\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"ux_survey_insights\"\n },\n {\n \"id\": \"7b0a4d14-b5f9-4597-84c0-8cfdb363c3d3\",\n \"name\": \"surveyName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.properties.title }}\"\n },\n {\n \"id\": \"45434b3b-3b74-4262-82e0-7ed02155caad\",\n \"name\": \"insightsSheetName\",\n \"type\": \"string\",\n \"value\": \"=Insights-{{ $now.format('yyyyMMdd') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"fbb1f3c3-06ad-44b5-b020-6fc3c8eda7c4\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2560,\n 980\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"83d3b413-a661-4c4c-9b8d-6ee395a15348\",\n \"name\": \"Prep Output For Export\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3160,\n 1300\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={{ {\\n ...$json.output,\\n \\\"Number of Response\\\": $('Get Payload of Points').item.json.result.length,\\n \\\"Participant IDs\\\": $('Get Payload of Points').item.json.result.map(item =>\\n item.payload.metadata.participant\\n ).join(','),\\n \\\"Raw Responses\\\": $('Get Payload of Points').item.json.result.map(item =>\\n `Participant ${item.payload.metadata.participant},${item.payload.content.replaceAll('\\\"', '\\\\\\\"')}`\\n ).join('\\\\n')\\n} }}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"14784dff-a8ea-4b6b-8379-b0c9051a8f98\",\n \"name\": \"Export To Sheets\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 3360,\n 1300\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {},\n \"schema\": [\n {\n \"id\": \"What is your name?\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"What is your name?\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"The responses indicate that two participants have the same name, 'Kwame Nkosi', which suggests a commonality in names or cultural naming traditions among the respondents. This could highlight the importance of understanding cultural context in survey responses.\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"The responses indicate that two participants have the same name, 'Kwame Nkosi', which suggests a commonality in names or cultural naming traditions among the respondents. This could highlight the importance of understanding cultural context in survey responses.\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"neutral\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"neutral\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"3\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"3\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"77,17,54\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"77,17,54\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Participant 77,Kwame Nkosi\\nParticipant 17,Kwame Nkosi\\nParticipant 54,Kwame Nkansah\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"Participant 77,Kwame Nkosi\\nParticipant 17,Kwame Nkosi\\nParticipant 54,Kwame Nkansah\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"autoMapInputData\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"append\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"={{ $('Set Variables').first().json.insightsSheetName }}\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"779b9411-db3e-44f3-ad2a-c9d40a70580d\",\n \"name\": \"Export To Sheets1\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 2360,\n 1300\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {},\n \"schema\": [],\n \"mappingMode\": \"autoMapInputData\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"append\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"name\",\n \"value\": \"={{ $('Set Variables').first().json.insightsSheetName }}\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4\n },\n {\n \"id\": \"a31ab677-f57c-4b78-a290-d4a913ed4f8e\",\n \"name\": \"For Each Question...\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n 1280,\n 940\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"dcfaf927-6ecd-4ebe-aee0-5fb3367b2725\",\n \"name\": \"Trigger Insights\",\n \"type\": \"n8n-nodes-base.executeWorkflow\",\n \"position\": [\n 1980,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"workflowId\": \"={{ $workflow.id }}\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2579adf0-9c00-4b87-b53e-740044577ab0\",\n \"name\": \"Prep Values For Trigger\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1800,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"24dd90ad-390f-444e-ba6c-8c06a41e836e\",\n \"name\": \"sheetID\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Survey Results').params.documentId.value }}\"\n },\n {\n \"id\": \"90199bbb-3938-411c-a7a8-faa7ccba6059\",\n \"name\": \"sheetName\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Survey Results').params.sheetName.value }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9b29e850-b9d0-4358-af62-92c20ab3b088\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 20,\n 900\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"70a0dcec-9f74-4af2-bd64-0ab762a77e51\",\n \"name\": \"Create Insights Sheet\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n 420,\n 900\n ],\n \"parameters\": {\n \"title\": \"={{ $('Set Variables').first().json.insightsSheetName }}\",\n \"options\": {},\n \"operation\": \"create\",\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').first().json.sheetID }}\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.4,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"f31400fb-dd7a-4c62-90ec-e9d78bbaa5e8\",\n \"name\": \"Prep Values For Export\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2180,\n 1300\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={\\n \\\"Question\\\": \\\"{{ $('For Each Question...').item.json.question }}\\\",\\n \\\"Insight\\\": \\\"No Insight Found\\\"\\n}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"506c20df-5109-422c-8c9e-0eb50fbd3ff9\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 459.27570452141345,\n -42.168106366729035\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 617.2130261221611,\n \"height\": 420.7389587470384,\n \"content\": \"## Step 1. Import Survey Responses\\n[Read more about Google Sheets](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\\n\\nOur approach requires to import all participant responses as vectors with metadata linking them to the questions being answered. To do this, we'll generate questiona and answer pairs from the survey.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bddcafa8-6f54-4829-93c9-37bbb9e7edf3\",\n \"name\": \"QA Pairs to List\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 900,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"data\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8d6e6bf6-c94c-43cb-a29e-5d10207cb8bd\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1100,\n -102.05898437632061\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 563.8350682199533,\n \"height\": 678.1641960508446,\n \"content\": \"## Step 2. Vectorize Each Response Into Qdrant\\n[Read more about using Qdrant](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.vectorstoreqdrant)\\n\\nSpecial attention is given to how metadata is captured as it becomes key to this workflow is being able to retrieve subsets of the data for analysis.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"613d4a32-a87a-423e-a1d1-ee23db0de6d1\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1680,\n -30.440883940004255\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 519.6419932444072,\n \"height\": 429.11782776909047,\n \"content\": \"## Step 3. Trigger Insights SubWorkflow\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflow)\\n\\nA subworkflow is used to trigger the analysis for the survey. This separation is optional but used here to better demonstrate the two part process.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1e858e4a-b91b-4411-8e2a-6eb76647b796\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -57.47778952966382,\n 710.393394209128\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 668.3083616841852,\n \"height\": 528.2386658883073,\n \"content\": \"## Step 4. Create Insights Sheet\\n[Learn more about Workflow Triggers](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.executeworkflowtrigger)\\n\\nTo capture the generated insights, we'll create a new unique sheet within the survey spreadsheet. This is optional and you may want to capture in other datastores depending on your needs.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9170c566-07d3-49dc-aafb-2dbe79940d2c\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 640,\n 683.5153164275844\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 536.9288458983389,\n \"height\": 622.1362463986454,\n \"content\": \"## Step 5. Get List Of Questions From Survey\\n[Read more about using Google Sheets](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets)\\n\\nNext we'll fetch the survey for metadata and questions, splitting them into separate workflow items. Our intention is to process each question end-to-end before moving to the next. This approach is a little \\\"safer\\\" in the scenario where an interruption occurs we won't lose all our work.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8488df77-055d-41cc-94f1-92ac5d54ef10\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 673.291535602609\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 823.147012265536,\n \"height\": 868.2579789328703,\n \"content\": \"## Step 6. Find Groups of Similar Answers For Each Question\\n[Learn more about using the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/)\\n\\nGiving all the responses to an LLM to analyse is the common but naive approach; the summarisation is usually too high level for real insights and loses a lot of detail such as the number and identity of respondants. What we want to do instead is find and group popular answers for each question to ensure all perspectives are considered.\\n\\nOur approach does this by mapping our answer vectors to a 2D grid and then identifying where the vector points are \\\"clustered\\\"; where a group of points are within close proximity to each other.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f4748b6d-5bd8-48cf-942f-3a0dc681078d\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2060,\n 1180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 536.9288458983389,\n \"height\": 359.90385684071794,\n \"content\": \"## Step 7b. Skip If No Clusters Found\\nWhere no clusters were found, it means the answers were unique enough to not show any pattern. eg. \\\"What's you name?\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d55d6a47-da8c-46ae-bd10-0eb671dcd121\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2060,\n 611.6915003841909\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 871.451300407926,\n \"height\": 541.1135860445843,\n \"content\": \"## Step 7a. Summarise the Top Groups of Similar Answers\\n[Read more about using the Information Extractor Node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.information-extractor)\\n\\nEach discovered cluster will return a reference vector which is used to fetch all related answers in the group.\\nThe group is then sent to the LLM to summarise as well as assign a sentiment score.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e5d5f88f-5832-43fc-a5b9-f747d08e7e77\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2620,\n 1180\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 924.2798021207429,\n \"height\": 363.07347551845976,\n \"content\": \"## Step 8. Write To Insights Sheet\\nFinally, our completed insights to appended to\\nthe Insights Sheet we created earlier in the workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"49ac1504-7b43-4fa1-b4ce-15c7a53c9018\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 460,\n 400\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 80,\n \"content\": \"### Run this once! \\nIf for any reason you need to run more than once, be sure to clear the existing data first.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"450f89c5-ef0f-4bf8-8db9-6347247c7f4d\",\n \"name\": \"Has Clusters?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1820,\n 1120\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"40b6bb62-a2d6-4422-8fbb-7ae49898bad9\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.output }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"1652a108-8fb8-4229-a76d-abf9fbcff626\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 20,\n -400\n ],\n \"parameters\": {\n \"width\": 400.381109509268,\n \"height\": 679.5610243514676,\n \"content\": \"## Try It Out!\\n\\n### This workflow generates highly-detailed insights from survey responses. Works best when dealing with a large number of participants.\\n\\n* Import survey responses and vectorise in Qdrant vectorstore.\\n* Identify clusters of popular responses to questions using K-means clustering algorithm. \\n* Each valid cluster is analysed and summarised by LLM.\\n* Export LLM response and cluster results back into sheet.\\n\\nCheck out the reference google sheet here: https://docs.google.com/spreadsheets/d/e/2PACX-1vT6m8XH8JWJTUAfwojc68NAUGC7q0lO7iV738J7aO5fuVjiVzdTRRPkMmT1C4N8TwejaiT0XrmF1Q48/pubhtml\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6eef981e-b2ce-433c-b71f-78be64812a56\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1260,\n 1340\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 323.2987132716669,\n \"height\": 110.05160146874424,\n \"content\": \"### First Time Running?\\nThere is a slight delay on first run because the code node has to download the required packages.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fa0c14be-03f4-4ed2-bd60-e93817382ded\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 240,\n 100\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"30323019-59ba-4a19-a46e-196d469f097d\",\n \"name\": \"Get Sheet Details\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 200,\n 900\n ],\n \"parameters\": {\n \"url\": \"=https://sheets.googleapis.com/v4/spreadsheets/{{ $json.sheetID }}\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"googleSheetsOAuth2Api\"\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6ced8012-1dd3-4da3-8c27-e4f4dfc959f6\",\n \"name\": \"Only Clusters With 3+ points\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 2180,\n 960\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"328f806c-0792-4d90-9bee-a1e10049e78f\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"lengthGt\",\n \"rightType\": \"number\"\n },\n \"leftValue\": \"={{ $json.points }}\",\n \"rightValue\": 2\n }\n ]\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"8ae81a55-75e2-40a3-bef6-0935ff08128f\",\n \"name\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1640,\n 1120\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"import numpy as np\\nfrom sklearn.cluster import KMeans\\n\\n# get vectors for all answers\\npoint_ids = [item.id for item in _input.first().json.result.points]\\nvectors = [item.vector.to_py() for item in _input.first().json.result.points]\\nvectors_array = np.array(vectors)\\n\\n# apply k-means clustering where n_clusters = 10\\n# this is a max and we'll discard some of these clusters later\\nkmeans = KMeans(n_clusters=min(len(vectors), 10), random_state=42).fit(vectors_array)\\nlabels = kmeans.labels_\\nunique_labels = set(labels)\\n\\n# Extract and print points in each cluster\\nclusters = {}\\nfor label in set(labels):\\n clusters[label] = vectors_array[labels == label]\\n\\n# return Qdrant point ids for each cluster\\n# we'll use these ids to fetch the payloads from the vector store.\\noutput = []\\nfor cluster_id, cluster_points in clusters.items():\\n points = [point_ids[i] for i in range(len(labels)) if labels[i] == cluster_id]\\n output.append({\\n \\\"id\\\": f\\\"Cluster {cluster_id}\\\",\\n \\\"total\\\": len(cluster_points),\\n \\\"points\\\": points\\n })\\n\\nreturn {\\\"json\\\": {\\\"output\\\": output } }\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"cbb42384-d46b-471f-a7d8-27e3de042492\",\n \"name\": \"Qdrant Vector Store\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreQdrant\",\n \"position\": [\n 1220,\n 100\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"qdrantCollection\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"ux_survey_insights\",\n \"cachedResultName\": \"ux_survey_insights\"\n }\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"NyinAS3Pgfik66w5\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"17584901-15d6-421f-ad69-3ba872276055\",\n \"name\": \"Survey Insights Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2580,\n 800\n ],\n \"parameters\": {\n \"text\": \"=The {{ $json.result.length }} participant responses were:\\n{{\\n$json.result.map(item =>\\n`* Participant ${item.payload.metadata.participant}: \\\"${item.payload.content.replaceAll('\\\"', '\\\\\\\"')}\\\"`\\n).join('\\\\n')\\n}}\",\n \"options\": {\n \"systemPromptTemplate\": \"=You help summarise a selection of participant responses to a specific question for a survey called \\\"{{ $json.result[0].payload.metadata.survey }}\\\".\\nThe question asked was \\\"{{ $json.result[0].payload.metadata.question }}\\\".\\nThe {{ $json.result.length }} participant responses were selected because their answers were similar in context.\\n\\nYour task is to: \\n* summarise the given participant responses into a short paragraph. Provide an insight from this summary and what we could learn from the answers.\\n* determine if the overall sentiment of all the listed responses to be either negative, mildy negative, neutral, mildy positive or positive.\"\n },\n \"schemaType\": \"fromJson\",\n \"jsonSchemaExample\": \"{\\n\\t\\\"Question\\\": \\\"What do you enjoy most about working remotely, and why?\\\",\\n\\t\\\"Insight\\\": \\\"\\\",\\n \\\"Sentiment\\\": \\\"Positive\\\"\\n}\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Has Clusters?\": {\n \"main\": [\n [\n {\n \"node\": \"Clusters To List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Prep Values For Export\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Create Insights Sheet\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clusters To List\": {\n \"main\": [\n [\n {\n \"node\": \"Only Clusters With 3+ points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Export To Sheets\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Question...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Find All Answers\": {\n \"main\": [\n [\n {\n \"node\": \"Apply K-means Clustering Algorithm\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"QA Pairs to List\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Export To Sheets1\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Question...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract Questions\": {\n \"main\": [\n [\n {\n \"node\": \"Questions to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Sheet Details\": {\n \"main\": [\n [\n {\n \"node\": \"Set Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Survey Insights Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Questions to List\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Question...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Survey Headers\": {\n \"main\": [\n [\n {\n \"node\": \"Extract Questions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Survey Results\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to Question Answer Pairs\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Qdrant Vector Store\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant Vector Store\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Values For Trigger\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"For Each Question...\": {\n \"main\": [\n null,\n [\n {\n \"node\": \"Find All Answers\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Insights Sheet\": {\n \"main\": [\n [\n {\n \"node\": \"Get Survey Headers\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Payload of Points\": {\n \"main\": [\n [\n {\n \"node\": \"Survey Insights Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Survey Insights Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Prep Output For Export\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Output For Export\": {\n \"main\": [\n [\n {\n \"node\": \"Export To Sheets\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Values For Export\": {\n \"main\": [\n [\n {\n \"node\": \"Export To Sheets1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prep Values For Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Trigger Insights\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Sheet Details\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Only Clusters With 3+ points\": {\n \"main\": [\n [\n {\n \"node\": \"Get Payload of Points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to Question Answer Pairs\": {\n \"main\": [\n [\n {\n \"node\": \"QA Pairs to List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get Survey Results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Apply K-means Clustering Algorithm\": {\n \"main\": [\n [\n {\n \"node\": \"Has Clusters?\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Survey Insights with Qdrant, Python and Information Extractor", "node_count": 42, "category": "Data Processing"}} {"prompt": "Show me an n8n workflow for selenium ultimate scraper workflow", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 63\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.limit, n8n-nodes-base.html, n8n-nodes-base.convertToFile, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"kZ3aL4r7xc96Q7lp\",\n \"meta\": {\n \"instanceId\": \"b8b2c0d20b02864cf66adc9cbefc86e9e56de0252b653d37ba6613341b5e0bef\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Selenium Ultimate Scraper Workflow\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"20d35d68-db49-4183-a913-85ad06c13912\",\n \"name\": \"Extract First Url Match\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 1820,\n 540\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"extractHtmlContent\",\n \"extractionValues\": {\n \"values\": [\n {\n \"key\": \"Url Find \",\n \"attribute\": \"href\",\n \"cssSelector\": \"=a[href*=\\\"https://\\\"][href*=\\\"{{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}\\\"]\\n\",\n \"returnArray\": true,\n \"returnValue\": \"attribute\"\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"9167ea20-fc9c-4d75-bf4d-bb2016079dd0\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 2060,\n 700\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"42a8646d-1b0b-4309-a87d-9c8aeb355a28\",\n \"name\": \"Clean Webdriver \",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"notes\": \"Script to delete traces of selenium in the browser \",\n \"position\": [\n 3120,\n 560\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/execute/sync\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"script\\\": \\\"Object.defineProperty(navigator, 'webdriver', { get: () => undefined }); window.navigator.chrome = { runtime: {} }; Object.defineProperty(navigator, 'languages', { get: () => ['en-US', 'en'] }); Object.defineProperty(navigator, 'plugins', { get: () => [1, 2, 3, 4, 5] });\\\",\\n \\\"args\\\": []\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"notesInFlow\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"107dd8de-e341-4819-a493-94ed57fd0f33\",\n \"name\": \"Delete Session\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5180,\n 920\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8c7ec6bc-d417-48c2-a6f2-ecce27803671\",\n \"name\": \"Delete Session2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 6740,\n -160\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e43ecd94-b7f2-4f73-a9fa-b829de9e0296\",\n \"name\": \"If Block1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 6520,\n -20\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"e6e6e15d-1cfe-48be-8ea0-f112e9781c9d\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.content }}\",\n \"rightValue\": \"BLOCK\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"08e46f63-41b5-4606-8f2c-df9e96c9c34e\",\n \"name\": \"Delete Session3\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 6740,\n 60\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b47d9b22-9a59-4c7a-8cba-9487f18207ee\",\n \"name\": \"Limit\",\n \"type\": \"n8n-nodes-base.limit\",\n \"position\": [\n 5120,\n -100\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"541622f7-562b-4e8a-93e5-61e6e918ff52\",\n \"name\": \"Delete Session1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 5180,\n 720\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"825be0d7-9dd3-4a2f-8c3d-fd405f59a5d6\",\n \"name\": \"Delete Session4\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 5780,\n 260\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"56f6f4f6-f737-4de8-bdfe-029546909677\",\n \"name\": \"Success with cookie\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 7260,\n 60\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"c6939773-e230-45e1-bf76-d0299c2c7066\",\n \"name\": \"Respond to Webhook2\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 6920,\n -160\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Success \\\": \\\"Request has been block by the targeted website\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"ea921f11-323f-4c79-8cc6-779b39498b05\",\n \"name\": \"Code\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 4700,\n -100\n ],\n \"parameters\": {\n \"jsCode\": \"// Récupère les données du nœud Webhook (en remplaçant \\\"Webhook\\\" par le nom du nœud Webhook dans votre workflow)\\nconst webhookData = $node[\\\"Webhook\\\"].json;\\n\\n// Fonction pour convertir la valeur de sameSite\\nfunction convertSameSite(value) {\\n // Conversion spécifique des valeurs de sameSite\\n const conversionMap = {\\n \\\"unspecified\\\": \\\"None\\\",\\n \\\"lax\\\": \\\"Lax\\\",\\n \\\"strict\\\": \\\"Strict\\\"\\n };\\n \\n // Si la valeur existe dans le tableau de conversion, on la convertit\\n if (value in conversionMap) {\\n return conversionMap[value];\\n }\\n \\n // Si la valeur est déjà une des valeurs acceptées par Selenium\\n const allowedValues = [\\\"Strict\\\", \\\"Lax\\\", \\\"None\\\"];\\n if (allowedValues.includes(value)) {\\n return value;\\n } else {\\n // Si la valeur n'est pas reconnue, on la remplace par \\\"Lax\\\" (par défaut)\\n return \\\"Lax\\\";\\n }\\n}\\n\\n// Vérifiez et traitez les données des cookies\\nif (webhookData.body && webhookData.body.cookies) {\\n let items = [];\\n for (const cookieObject of webhookData.body.cookies) {\\n if (cookieObject.cookie) {\\n // Convertir la valeur de sameSite\\n cookieObject.cookie.sameSite = convertSameSite(cookieObject.cookie.sameSite);\\n \\n // Ajouter le cookie à la liste des items\\n items.push({\\n json: cookieObject.cookie\\n });\\n }\\n }\\n return items;\\n}\\n\\n// Si les cookies ne sont pas trouvés, renvoyer un tableau vide\\nreturn [];\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"c3d77928-eefc-4903-9b4f-b14bd6f34e3c\",\n \"name\": \"Delete Session5\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 3940,\n 360\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"036cfce6-8082-4539-bb0e-980368679fe5\",\n \"name\": \"Error\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 4120,\n 360\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 404\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Error\\\": \\\"Cookies are note for the targeted url\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"09d6a99b-d8b3-40c9-b74a-14014e3647e2\",\n \"name\": \"Error1\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 6000,\n 260\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 500\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"0b1f3442-6b70-405f-b597-642e9c982b82\",\n \"name\": \"Error2\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 3060,\n 780\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 500\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"4d0112bb-cbfd-45c6-961a-964bd8f59cac\",\n \"name\": \"If\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3760,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"1bffbc80-9913-46e7-a594-ebc26948c83b\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"contains\"\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body.cookies[0].cookie.domain }}\",\n \"rightValue\": \"={{ $('Webhook').item.json.body.Url }}\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"58a50b80-df4c-4b6f-a682-72237f4dbdef\",\n \"name\": \"Inject Cookie\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 4900,\n -100\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/cookie\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"cookie\\\": {\\n \\\"name\\\": \\\"{{ $json.name }}\\\",\\n \\\"value\\\": \\\"{{ $json.value }}\\\",\\n \\\"domain\\\": \\\"{{ $json.domain }}\\\",\\n \\\"path\\\": \\\"{{ $json.path }}\\\",\\n \\\"secure\\\": {{ $json.secure }},\\n \\\"httpOnly\\\": {{ $json.httpOnly }},\\n \\\"sameSite\\\": \\\"{{ $json.sameSite }}\\\",\\n \\\"expirationDate\\\": {{ $json.expirationDate }}\\n }\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"39f7401b-b6b7-4f0c-9afc-8f144d394350\",\n \"name\": \"Respond to Webhook3\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 5400,\n 720\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Success \\\": \\\"Request has been block by the targeted website\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"80b107cc-2f6c-46f0-a597-e85594634492\",\n \"name\": \"Success\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 5740,\n 920\n ],\n \"parameters\": {\n \"options\": {\n \"responseKey\": \"={{ $json.output }}\",\n \"responseCode\": 200\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"94a97354-07d9-428e-989c-ef066f9b4d8a\",\n \"name\": \"Go on url\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 3900,\n 780\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Webhook').item.json.body['Target Url'] }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fd044cf3-594d-48af-bbd1-f2d9adedcbc1\",\n \"name\": \"Delete Session6\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 4360,\n 1200\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"7c28c3b6-1141-4609-8774-cb6b4d842b97\",\n \"name\": \"Error3\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 4520,\n 1200\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 500\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Error\\\": \\\"Page crash on the extracted url\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"52f78923-156f-4861-88ba-f0253c483bd9\",\n \"name\": \"Information Extractor\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 2040,\n 540\n ],\n \"parameters\": {\n \"text\": \"={{ $json['Url Find '][1] }}{{ $json['Url Find '][2] }}{{ $json['Url Find '][3] }}\",\n \"options\": {\n \"systemPromptTemplate\": \"=You are an expert extraction algorithm.\\nOnly extract relevant url from the unstructured urls array.\\nA relevant url is a url whre you can find relevant information about this subject : {{ $('Edit Fields (For testing prupose )').item.json.Subject }}, on this domaine name : {{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}.\\nIf you do not know the value of an attribute asked to extract, you need \\\\ attribute's value as NA.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"Good_url_for_etract_information\",\n \"required\": true,\n \"description\": \"=The url where I can extract relevant infroamtion on this subject : {{ $('Edit Fields (For testing prupose )').item.json.Subject }} on this domaine name : {{ $('Edit Fields (For testing prupose )').item.json['Website Domaine'] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6ac249e2-a9d8-4590-b050-3a0a2472fa3c\",\n \"name\": \"Check if empty of NA\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2440,\n 540\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"or\",\n \"conditions\": [\n {\n \"id\": \"9470fb6c-e367-4af7-a697-275e724fe771\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"empty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.output.Good_url_for_etract_information }}\",\n \"rightValue\": \"\"\n },\n {\n \"id\": \"8518e9a9-5b0c-4699-97c5-d9b7b1943918\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.output.Good_url_for_etract_information }}\",\n \"rightValue\": \"NA\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"f380eff7-3d18-4791-9dac-8a88d3fdcc4f\",\n \"name\": \"If Block\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 4960,\n 840\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"e6e6e15d-1cfe-48be-8ea0-f112e9781c9d\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"contains\"\n },\n \"leftValue\": \"={{ $json.content }}\",\n \"rightValue\": \"BLOCK\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"43382397-89b5-4b90-9016-49109ec04baf\",\n \"name\": \"Google search Query \",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1600,\n 540\n ],\n \"parameters\": {\n \"url\": \"=https://www.google.com/search?q=site:{{ $json['Website Domaine'] }}+{{$json.Subject}}&oq=site&gs_lcrp=EgZjaHJvbWUqCAgAEEUYJxg7MggIABBFGCcYOzIICAEQRRgnGDsyBggCEEUYOzIRCAMQRRg5GEMYyQMYgAQYigUyBggEEEUYQDIGCAUQRRg9MgYIBhBFGD0yBggHEEUYPdIBCDEwNTRqMGo3qAIAsAIA&sourceid=chrome&ie=UTF-8\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"d34256af-1b43-4f64-853c-cf063b8c6b68\",\n \"name\": \"Create Selenium Session\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 2680,\n 640\n ],\n \"parameters\": {\n \"url\": \"http://selenium_chrome:4444/wd/hub/session\",\n \"method\": \"POST\",\n \"options\": {\n \"timeout\": 5000\n },\n \"jsonBody\": \"{\\n \\\"capabilities\\\": {\\n \\\"alwaysMatch\\\": {\\n \\\"browserName\\\": \\\"chrome\\\",\\n \\\"goog:chromeOptions\\\": {\\n \\\"args\\\": [ \\n \\\"--disable-blink-features=AutomationControlled\\\",\\n \\\"--user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3\\\"\\n ]\\n }\\n }\\n }\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"4f0f696c-9637-4c7d-82ae-1f5c36bb9cd1\",\n \"name\": \"Get ScreenShot 1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4420,\n 840\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/screenshot\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ba72c0cf-217a-4411-80f6-ca28ccdb0151\",\n \"name\": \"Refresh browser\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 5320,\n -100\n ],\n \"parameters\": {\n \"url\": \"=http:///selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/refresh\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b6ba7068-399a-467d-ba58-7f47d650e2f1\",\n \"name\": \"Get ScreenShot \",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 5880,\n -20\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/screenshot\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"792649be-0ee2-442f-bc21-d0c297cea227\",\n \"name\": \"Convert to File\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 6160,\n -20\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"value\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"49e58759-bedf-4f38-a96c-bd18e67b8aaf\",\n \"name\": \"Convert to File1\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4600,\n 840\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"value\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"3735f5f5-665e-4649-b1c2-84a4a8699f70\",\n \"name\": \"Delete Session7\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 2920,\n 780\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1b8b1e0c-f465-4963-869c-0e7086922151\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n -1023.3944834469928\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 851.2111300888805,\n \"height\": 1333.3079943516484,\n \"content\": \"## N8N Ultimate Scraper - Workflow\\n\\nThis workflow's objective is to collect data from any website page, whether it requires login or not.\\n\\nFor example, you can collect the number of stars of the n8n-ultimate-scraper project on GitHub.\\n\\n## Requirements\\n**Selenium Container**: Selenium is an open-source automation framework for web applications, enabling browser control and interaction through scripts in various programming languages.\\nYou can deploy the Docker Compose file from the associated GitHub project to set up your Selenium container and configuration: https://github.com/Touxan/n8n-ultimate-scraper\\n\\n**Residential Proxy Server**: To scrape data at scale without being blocked, I personally recommend GeoNode. They offer affordable, high-quality residential proxies: https://geonode.com/invite/98895\\n\\n**OpenAI API Key**: For using GPT-4.\\n\\n## Optional\\nSession Cookies Collection: To use login functionality with the n8n Ultimate Scraper, you need to collect session cookies from the target website. You can do this using the extension created for this application in the GitHub project: https://github.com/Touxan/n8n-ultimate-scraper. Follow the installation procedure to use it.\\n\\n## How to use \\nDeploy the project with all the requiremnts and request your webhook.\\n\\n**Example of request**:\\ncurl -X POST http://localhost:5678/webhook-test/yourwebhookid \\\\\\n-H \\\"Content-Type: application/json\\\" \\\\\\n-d '{\\n \\\"subject\\\": \\\"Hugging Face\\\",\\n \\\"Url\\\": \\\"github.com\\\",\\n \\\"Target data\\\": [\\n {\\n \\\"DataName\\\": \\\"Followers\\\",\\n \\\"description\\\": \\\"The number of followers of the GitHub page\\\"\\n },\\n {\\n \\\"DataName\\\": \\\"Total Stars\\\",\\n \\\"description\\\": \\\"The total numbers of stars on the different repos\\\"\\n }\\n ],\\n \\\"cookies\\\": []\\n}'\\n\\nYou can also scrape link like this : \\ncurl -X POST http://localhost:5678/webhook-test/67d77918-2d5b-48c1-ae73-2004b32125f0 \\\\\\n-H \\\"Content-Type: application/json\\\" \\\\\\n-d '{\\n \\\"Target Url\\\": \\\"https://github.com\\\",\\n \\\"Target data\\\": [\\n {\\n \\\"DataName\\\": \\\"Followers\\\",\\n \\\"description\\\": \\\"The number of followers of the GitHub page\\\"\\n },\\n {\\n \\\"DataName\\\": \\\"Total Stars\\\",\\n \\\"description\\\": \\\"The total numbers of stars on the different repo\\\"\\n }\\n]\\n}'\\n\\n**Note**\\nThe maximum nimber of Target data is 5.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d743518-4fcb-4e9f-aff7-a8959a78ccaf\",\n \"name\": \"Edit Fields (For testing prupose )\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1160,\n 540\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"3895040f-0a21-47ee-a73f-d3c7fd6edf36\",\n \"name\": \"Subject\",\n \"type\": \"string\",\n \"value\": \"={{ $json.body.subject }}\"\n },\n {\n \"id\": \"304e4240-513f-4c87-ae9d-4efda7d0c4ab\",\n \"name\": \"Website Domaine\",\n \"type\": \"string\",\n \"value\": \"={{ $json.body.Url }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"62b0a416-71a2-4d2b-83f9-8c5465c72006\",\n \"name\": \"Get ScreenShot 2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 6200,\n 851\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/screenshot\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"6a5b1a08-c47a-435e-8e0b-648cb8282a90\",\n \"name\": \"Convert to File2\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 6440,\n 851\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toBinary\",\n \"sourceProperty\": \"value\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"a2aa5d45-5f41-41f7-a8ee-07c145b73d89\",\n \"name\": \"Go on ip-api.com\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 5960,\n 851\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"https://ip-api.com/\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8ddde1d2-0b09-45ca-88ef-db24352b095e\",\n \"name\": \"Delete Session8\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 6440,\n 1071\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}\",\n \"method\": \"DELETE\",\n \"options\": {}\n },\n \"retryOnFail\": false,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"78ffd8e1-b4b8-444c-8a7d-410172d3a7f8\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 5920,\n 727\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 784.9798841202522,\n \"height\": 520.0741248156677,\n \"content\": \"## Debug IP\\n\\nThis small debug flow aims to check the IP you're requesting with, in case you're using a proxy\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"be5de434-5f07-40bc-a1e6-aece9ad211b4\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1580,\n 420\n ],\n \"parameters\": {\n \"width\": 751.8596006980003,\n \"height\": 430.433007240277,\n \"content\": \"## Search\\n\\n**Description** :\\nThis part aims to search on Google for the subject and find the URL of the subject page based on the input URL.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ffbb3c92-245b-4635-9adf-17d24f236bff\",\n \"name\": \"Error can't find url\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 2800,\n 280\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 404\n },\n \"respondWith\": \"json\",\n \"responseBody\": \"{\\n \\\"Error\\\": \\\"Can't find url\\\"\\n}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"088ad72c-907a-409a-9fa4-00a16d396e1b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n 420\n ],\n \"parameters\": {\n \"width\": 827.9448220213314,\n \"height\": 502.0185388323068,\n \"content\": \"## Selenium Session\\n\\n**Description**:\\nCreation and configuration of the Selenium session.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"00b8bf19-b34e-42ed-bb2a-3fbfa5f02a25\",\n \"name\": \"Resize browser window\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2920,\n 560\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $json.value.sessionId }}/window/rect\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"{\\n \\\"width\\\": 1920,\\n \\\"height\\\": 1080,\\n \\\"x\\\": 0,\\n \\\"y\\\": 0\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"007354a1-3f00-4ae9-ab53-54ded5eed563\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3500,\n -300\n ],\n \"parameters\": {\n \"width\": 3939.555135735299,\n \"height\": 821.0847869745435,\n \"content\": \"## Scrape with cookies session\\n\\n**Description**\\nThis part goes to the extracted URL, injects the cookies passed into the webhook, takes a screenshot of the webpage, and analyzes the image with GPT to extract the targeted data.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5ab44e1b-6878-4af5-bfd8-1f1e5cbee3a7\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3500,\n 580\n ],\n \"parameters\": {\n \"width\": 3336.952424000919,\n \"height\": 821.0847869745435,\n \"content\": \"## Scrape without cookies session\\n\\n**Description**\\nSame as the 'Scrape with cookies session' flow, but without the cookie injection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4fc7e290-0c60-4efe-ac3f-eb71ce5e457b\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 6340,\n -20\n ],\n \"parameters\": {\n \"text\": \"=Analyse this image and extract revlant infromation about this subject : {{ $('Webhook').item.json.body.subject }}. \\n\\nIf the webpage seem block by waf, or don't have any relant information about the subject reurn BLOCK with out any aditinonal information.\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {\n \"detail\": \"auto\",\n \"maxTokens\": 300\n },\n \"resource\": \"image\",\n \"inputType\": \"base64\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"b039ed2a-94da-4a37-b794-7fb1721a8ab3\",\n \"name\": \"OpenAI1\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4780,\n 840\n ],\n \"parameters\": {\n \"text\": \"=Analyse this image and extract revlant infromation about this subject : {{ $('Webhook').item.json.body.subject }}. \\n\\nIf the webpage seem block by waf, or don't have any relant information about the subject reurn BLOCK with out any aditinonal information.\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o\",\n \"cachedResultName\": \"GPT-4O\"\n },\n \"options\": {\n \"detail\": \"auto\",\n \"maxTokens\": 300\n },\n \"resource\": \"image\",\n \"inputType\": \"base64\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"c69364ce-c7e3-4f7a-ae0c-bad97643da30\",\n \"name\": \"Information Extractor1\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 5400,\n 920\n ],\n \"parameters\": {\n \"text\": \"={{ $('OpenAI1').item.json.content }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are an expert extraction algorithm.\\nOnly extract relevant information from the text.\\nIf you do not know the value of an attribute asked to extract, set the attribute's value to NA.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][0].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][0].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][1].DataName }}\",\n \"description\": \"=The total number of stars on all project\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][2].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][2].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][3].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][3].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][4].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][4].description }}\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0e756adb-a6ba-421f-9d21-374e7fa74781\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 5400,\n 1140\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"920e9315-7de4-4a23-adbe-36338ea18097\",\n \"name\": \"Information Extractor2\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 6920,\n 60\n ],\n \"parameters\": {\n \"text\": \"={{ $('OpenAI').item.json.content }}\",\n \"options\": {\n \"systemPromptTemplate\": \"You are an expert extraction algorithm.\\nOnly extract relevant information from the text.\\nIf you do not know the value of an attribute asked to extract, set the attribute's value to NA. If the attribute is empty you can omit it.\"\n },\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][0].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][0].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][1].DataName }}\",\n \"description\": \"=The total number of stars on all project\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][2].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][2].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][3].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][3].description }}\"\n },\n {\n \"name\": \"={{ $('Webhook').item.json.body['Target data'][4].DataName }}\",\n \"description\": \"={{ $('Webhook').item.json.body['Target data'][4].description }}\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"aa98d16e-d20c-4a8f-8eaf-1f64751dd8ea\",\n \"name\": \"OpenAI Chat Model2\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 6940,\n 220\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"FmszNHDDVS32ud21\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba41b87e-feb7-4753-95b3-d569d54d8756\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1820,\n -680\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 813.0685668942513,\n \"height\": 507.4126722815008,\n \"content\": \"## Proxy\\n\\n**Configuration**\\n\\nTo configure your proxy with the project, follow the instructions on the GitHub project: https://github.com/Touxan/n8n-ultimate-scraper. To configure the docker-compose, you also need to add this argument to the 'Create Selenium Session' node : --proxy-server=address:port.\\n\\n### ⚠️Warning⚠️\\n Selenium does not support proxy authentication, so you need to add your server IP to the proxy whitelist. On GeoNode, it's here: https://app.geonode.com/whitelist-ip!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"194bbecc-a5b3-4c5f-a17f-94703a44f196\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 940,\n 540\n ],\n \"webhookId\": \"67d77918-2d5b-48c1-ae73-2004b32125f0\",\n \"parameters\": {\n \"path\": \"67d77918-2d5b-48c1-ae73-2004b32125f0\",\n \"options\": {},\n \"httpMethod\": \"POST\",\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"513389b0-0930-48d8-8cbb-e3575a0276ae\",\n \"name\": \"If Target Url\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1380,\n 620\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"4b608dcd-a175-4019-82c2-560320a2abce\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"empty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body['Target Url'] }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"4ca0aee7-0dd2-4c78-b99b-8c188a3917f4\",\n \"name\": \"If1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3700,\n 900\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"ff919945-b8c2-492a-b496-8617e9147389\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body['Target Url'] }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"baa4dc94-67f3-4683-b8c7-6b6e856e7c64\",\n \"name\": \"Go on url1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 3900,\n 960\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Information Extractor').item.json.output.Good_url_for_etract_information }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"2c439b0e-7c78-4ae8-b653-3f02b3834aa8\",\n \"name\": \"If2\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3340,\n 560\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"loose\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"2a1bfc1e-28a6-45d1-9581-53b632af90e0\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body.cookies }}\",\n \"rightValue\": \"\"\n }\n ]\n },\n \"looseTypeValidation\": true\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"fc3260da-9131-4850-a581-55a27ce4428d\",\n \"name\": \"Go on url2\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4260,\n -20\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Webhook').item.json.body['Target Url'] }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"fe345010-1fa3-4d2c-8bc2-e87f6aeeb0d9\",\n \"name\": \"If3\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 4060,\n 100\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"ff919945-b8c2-492a-b496-8617e9147389\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Webhook').item.json.body['Target Url'] }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"1aae02ec-3a22-4dd5-aea4-819758f130c1\",\n \"name\": \"Go on url3\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 4260,\n 160\n ],\n \"parameters\": {\n \"url\": \"=http://selenium_chrome:4444/wd/hub/session/{{ $('Create Selenium Session').item.json.value.sessionId }}/url\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"url\\\": \\\"{{ $('Information Extractor').item.json.output.Good_url_for_etract_information }}\\\"\\n}\\n\",\n \"sendBody\": true,\n \"specifyBody\": \"json\"\n },\n \"retryOnFail\": true,\n \"typeVersion\": 4.2\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"e0ae7ac4-4be7-4b9c-9247-1475ffd297b1\",\n \"connections\": {\n \"If\": {\n \"main\": [\n [\n {\n \"node\": \"If3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session5\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If1\": {\n \"main\": [\n [\n {\n \"node\": \"Go on url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Go on url1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If2\": {\n \"main\": [\n [\n {\n \"node\": \"If\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"If1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If3\": {\n \"main\": [\n [\n {\n \"node\": \"Go on url2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Go on url3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code\": {\n \"main\": [\n [\n {\n \"node\": \"Inject Cookie\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Limit\": {\n \"main\": [\n [\n {\n \"node\": \"Refresh browser\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"If Block1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI1\": {\n \"main\": [\n [\n {\n \"node\": \"If Block\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Edit Fields (For testing prupose )\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Block\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Session1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot 1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Block1\": {\n \"main\": [\n [\n {\n \"node\": \"Delete Session2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url1\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot 1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url2\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on url3\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If Target Url\": {\n \"main\": [\n [\n {\n \"node\": \"Google search Query \",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Create Selenium Session\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Inject Cookie\": {\n \"main\": [\n [\n {\n \"node\": \"Limit\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to File\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session1\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session2\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Webhook2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session3\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session4\": {\n \"main\": [\n [\n {\n \"node\": \"Error1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session5\": {\n \"main\": [\n [\n {\n \"node\": \"Error\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session6\": {\n \"main\": [\n [\n {\n \"node\": \"Error3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Delete Session7\": {\n \"main\": [\n [\n {\n \"node\": \"Error2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ScreenShot \": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Refresh browser\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot \",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session4\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Clean Webdriver \": {\n \"main\": [\n [\n {\n \"node\": \"If2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert to File1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ScreenShot 1\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session6\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get ScreenShot 2\": {\n \"main\": [\n [\n {\n \"node\": \"Convert to File2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session8\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Go on ip-api.com\": {\n \"main\": [\n [\n {\n \"node\": \"Get ScreenShot 2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session8\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor1\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model2\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor2\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Check if empty of NA\": {\n \"main\": [\n [\n {\n \"node\": \"Error can't find url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Create Selenium Session\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google search Query \": {\n \"main\": [\n [\n {\n \"node\": \"Extract First Url Match\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor\": {\n \"main\": [\n [\n {\n \"node\": \"Check if empty of NA\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Resize browser window\": {\n \"main\": [\n [\n {\n \"node\": \"Clean Webdriver \",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor1\": {\n \"main\": [\n [\n {\n \"node\": \"Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor2\": {\n \"main\": [\n [\n {\n \"node\": \"Success with cookie\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Selenium Session\": {\n \"main\": [\n [\n {\n \"node\": \"Resize browser window\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Delete Session7\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract First Url Match\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Edit Fields (For testing prupose )\": {\n \"main\": [\n [\n {\n \"node\": \"If Target Url\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Selenium Ultimate Scraper Workflow", "node_count": 63, "category": "Webhooks"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 25\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.googleCloudStorage, n8n-nodes-base.if, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"pPtCy6qPfEv1qNRn\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"n3zAUYFhdqtjhcLf\",\n \"name\": \"qdrant\",\n \"createdAt\": \"2024-12-10T11:56:59.987Z\",\n \"updatedAt\": \"2024-12-10T11:56:59.987Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"53831410-b4f3-4374-8bdd-c2a33cd873cb\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -640,\n 0\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e303ccea-c0e0-4fe5-bd31-48380a0e438f\",\n \"name\": \"Google Cloud Storage\",\n \"type\": \"n8n-nodes-base.googleCloudStorage\",\n \"position\": [\n 820,\n 160\n ],\n \"parameters\": {\n \"resource\": \"object\",\n \"returnAll\": true,\n \"bucketName\": \"n8n-qdrant-demo\",\n \"listFilters\": {\n \"prefix\": \"agricultural-crops\"\n },\n \"requestOptions\": {}\n },\n \"credentials\": {\n \"googleCloudStorageOAuth2Api\": {\n \"id\": \"fn0sr7grtfprVQvL\",\n \"name\": \"Google Cloud Storage account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"737bdb15-61cf-48eb-96af-569eb5986ee8\",\n \"name\": \"Get fields for Qdrant\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1080,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"10d9147f-1c0c-4357-8413-3130829c2e24\",\n \"name\": \"=publicLink\",\n \"type\": \"string\",\n \"value\": \"=https://storage.googleapis.com/{{ $json.bucket }}/{{ $json.selfLink.split('/').splice(-1) }}\"\n },\n {\n \"id\": \"ff9e6a0b-e47a-4550-a13b-465507c75f8f\",\n \"name\": \"cropName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.id.split('/').slice(-3, -2)[0].toLowerCase()}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"2b18ed0c-38d3-49e9-be3d-4f7b35f4d9e5\",\n \"name\": \"Qdrant cluster variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -360,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"58b7384d-fd0c-44aa-9f8e-0306a99be431\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"=https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"e34c4d88-b102-43cc-a09e-e0553f2da23a\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n },\n {\n \"id\": \"33581e0a-307f-4380-9533-615791096de7\",\n \"name\": \"VoyageEmbeddingsDim\",\n \"type\": \"number\",\n \"value\": 1024\n },\n {\n \"id\": \"6e390343-2cd2-4559-aba9-82b13acb7f52\",\n \"name\": \"batchSize\",\n \"type\": \"number\",\n \"value\": 4\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"f88d290e-3311-4322-b2a5-1350fc1f8768\",\n \"name\": \"Embed crop image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2120,\n 160\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": $json.batchVoyage,\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"250c6a8d-f545-4037-8069-c834437bbe15\",\n \"name\": \"Create Qdrant Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 320,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}\",\n \"method\": \"PUT\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"vectors\\\": {\\n \\\"voyage\\\": { \\n \\\"size\\\": $('Qdrant cluster variables').first().json.VoyageEmbeddingsDim, \\n \\\"distance\\\": \\\"Cosine\\\" \\n } \\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"20b612ff-4794-43ef-bf45-008a16a2f30f\",\n \"name\": \"Check Qdrant Collection Existence\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -100,\n 0\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/exists\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c067740b-5de3-452e-a614-bf14985a73a0\",\n \"name\": \"Batches in the API's format\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1860,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"f14db112-6f15-4405-aa47-8cb56bb8ae7a\",\n \"name\": \"=batchVoyage\",\n \"type\": \"array\",\n \"value\": \"={{ $json.batch.map(item => ({ \\\"content\\\": ([{\\\"type\\\": \\\"image_url\\\", \\\"image_url\\\": item[\\\"publicLink\\\"]}])}))}}\"\n },\n {\n \"id\": \"3885fd69-66f5-4435-86a4-b80eaa568ac1\",\n \"name\": \"=batchPayloadQdrant\",\n \"type\": \"array\",\n \"value\": \"={{ $json.batch.map(item => ({\\\"crop_name\\\":item[\\\"cropName\\\"], \\\"image_path\\\":item[\\\"publicLink\\\"]})) }}\"\n },\n {\n \"id\": \"8ea7a91e-af27-49cb-9a29-41dae15c4e33\",\n \"name\": \"uuids\",\n \"type\": \"array\",\n \"value\": \"={{ $json.uuids }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"bf9a9532-db64-4c02-b91d-47e708ded4d3\",\n \"name\": \"Batch Upload to Qdrant\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2320,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points\",\n \"method\": \"PUT\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"batch\\\": {\\n \\\"ids\\\" : $('Batches in the API\\\\'s format').item.json.uuids,\\n \\\"vectors\\\": {\\\"voyage\\\": $json.data.map(item => item[\\\"embedding\\\"]) },\\n \\\"payloads\\\": $('Batches in the API\\\\'s format').item.json.batchPayloadQdrant\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3c30373f-c84c-405f-bb84-ec8b4c7419f4\",\n \"name\": \"Split in batches, generate uuids for Qdrant points\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1600,\n 160\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"import uuid\\n\\ncrops = [item.json for item in _input.all()]\\nbatch_size = int(_('Qdrant cluster variables').first()['json']['batchSize'])\\n\\ndef split_into_batches_add_uuids(array, batch_size):\\n return [\\n {\\n \\\"batch\\\": array[i:i + batch_size],\\n \\\"uuids\\\": [str(uuid.uuid4()) for j in range(len(array[i:i + batch_size]))]\\n }\\n for i in range(0, len(array), batch_size)\\n ]\\n\\n# Split crops into batches\\nbatched_crops = split_into_batches_add_uuids(crops, batch_size)\\n\\nreturn batched_crops\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"2b028f8c-0a4c-4a3a-9e2b-14b1c2401c6d\",\n \"name\": \"If collection exists\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 120,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"2104b862-667c-4a34-8888-9cb81a2e10f8\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.result.exists }}\",\n \"rightValue\": \"true\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"768793f6-391e-4cc9-b637-f32ee2f77156\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n 340\n ],\n \"parameters\": {\n \"width\": 280,\n \"height\": 200,\n \"content\": \"In the next workflow, we're going to use Qdrant to get the number of images belonging to each crop type defined by `crop_name` (for example, *\\\"cucumber\\\"*). \\nTo get this information about counts in payload fields, we need to create an index on that field to optimise the resources (it needs to be done once). That's what is happening here\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0c8896f7-8c57-4add-bc4d-03c4a774bdf1\",\n \"name\": \"Payload index on crop_name\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 500,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/index\",\n \"method\": \"PUT\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"field_name\\\": \\\"crop_name\\\",\\n \\\"field_schema\\\": \\\"keyword\\\"\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"342186f6-41bf-46be-9be8-a9b1ca290d55\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -360,\n -360\n ],\n \"parameters\": {\n \"height\": 300,\n \"content\": \"Setting up variables\\n1) Cloud URL - to connect to Qdrant Cloud (your personal cluster URL)\\n2) Collection name in Qdrant\\n3) Size of Voyage embeddings (needed for collection creation in Qdrant) \\n4) Batch size for batch embedding/batch uploading to Qdrant \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fae9248c-dbcc-4b6d-b977-0047f120a587\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n -220\n ],\n \"parameters\": {\n \"content\": \"In Qdrant, you can create a collection once; if you try to create it two times with the same name, you'll get an error, so I am adding here a check if a collection with this name exists already\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f7aea242-3d98-4a1c-a98a-986ac2b4928b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 180,\n 340\n ],\n \"parameters\": {\n \"height\": 280,\n \"content\": \"If a collection with the name set up in variables doesn't exist yet, I create an empty one; \\n\\nCollection will contain [named vectors](https://qdrant.tech/documentation/concepts/vectors/#named-vectors), with a name *\\\"voyage\\\"*\\nFor these named vectors, I define two parameters:\\n1) Vectors size (in our case, Voyage embeddings size)\\n2) Similarity metric to compare embeddings: in our case, **\\\"Cosine\\\"**.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b84045c1-f66a-4543-8d42-1e76de0b6e91\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 800,\n -280\n ],\n \"parameters\": {\n \"height\": 400,\n \"content\": \"Now it's time to embed & upload to Qdrant our image datasets;\\nBoth of them, [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) and [lands](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification) were uploaded to our Google Cloud Storage bucket, and in this workflow we're fetching **the crops dataset** (for lands it will be a nearly identical workflow, up to variable names)\\n(you should replace it with your image datasets)\\n\\nDatasets consist of **image URLs**; images are grouped by folders based on their class. For example, we have a system of subfolders like *\\\"tomato\\\"* and *\\\"cucumber\\\"* for the crops dataset with image URLs of the respective class.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"255dfad8-c545-4d75-bc9c-529aa50447a9\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1080,\n -140\n ],\n \"parameters\": {\n \"height\": 240,\n \"content\": \"Google Storage node returns **mediaLink**, which can be used directly for downloading images; however, we just need a public image URL so that Voyage API can process it; so here we construct this public link and extract a crop name from the folder in which image was stored (for example, *\\\"cucumber\\\"*)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a6acce75-cce0-4de3-bc64-37592c97359b\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1600,\n -80\n ],\n \"parameters\": {\n \"height\": 180,\n \"content\": \"I regroup images into batches of `batchSize` size and, to make batch upload to Qdrant possible, generate UUIDs to use them as batch [point IDs](https://qdrant.tech/documentation/concepts/points/#point-ids) (Qdrant doesn't set up id's for the user; users have to choose them themselves)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cab3cc83-b50c-41f4-8d51-59e04bba5556\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1340,\n -60\n ],\n \"parameters\": {\n \"content\": \"Since we build anomaly detection based on the crops dataset, to test it properly, I didn't upload to Qdrant pictures of tomatoes at all; I filter them out here\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e5cdcce5-efdc-41f2-9796-656bd345f783\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1860,\n -100\n ],\n \"parameters\": {\n \"height\": 200,\n \"content\": \"Since Voyage API requires a [specific json structure](https://docs.voyageai.com/reference/multimodal-embeddings-api) for batch embeddings, as does [Qdrant's API for uploading points in batches](https://api.qdrant.tech/api-reference/points/upsert-points), I am adapting the structure of jsons\\n\\n[NB] - [payload = meta data in Qdrant]\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a7f15c44-3d5c-4b43-bfb2-94fe27a32071\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2120,\n 20\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 80,\n \"content\": \"Embedding images with Voyage model (mind `input_type`)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"01b92e7e-d954-4d58-85b1-109c336546c4\",\n \"name\": \"Filtering out tomato to test anomalies\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 1340,\n 160\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"f7953ae2-5333-4805-abe5-abf6da645c5e\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEquals\"\n },\n \"leftValue\": \"={{ $json.cropName }}\",\n \"rightValue\": \"tomato\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"8d564817-885e-453a-a087-900b34b84d9c\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1160,\n -280\n ],\n \"parameters\": {\n \"width\": 440,\n \"height\": 460,\n \"content\": \"## Batch Uploading Dataset to Qdrant \\n### This template imports dataset images from storage, creates embeddings for them in batches, and uploads them to Qdrant in batches. In this particular template, we work with [crops dataset](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification). However, it's analogous to [lands dataset](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification), and in general, it's adaptable to any dataset consisting of image URLs (as the following pipelines are).\\n\\n* First, check for an existing Qdrant collection to use; otherwise, create it here. Additionally, when creating the collection, we'll create a [payload index](https://qdrant.tech/documentation/concepts/indexing/#payload-index), which is required for a particular type of Qdrant requests we will use later.\\n* Next, import all (dataset) images from Google Storage but keep only non-tomato-related ones (for anomaly detection testing).\\n* Create (per batch) embeddings for all imported images using the Voyage AI multimodal embeddings API.\\n* Finally, upload the resulting embeddings and image descriptors to Qdrant via batch uploading.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0233d3d0-bbdf-4d5b-a366-53cbfa4b6f9c\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -860,\n 360\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 420,\n \"content\": \"### For anomaly detection\\n**1. This is the first pipeline to upload (crops) dataset to Qdrant's collection.**\\n2. The second pipeline is to set up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.\\n3. The third is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.\\n\\n### For KNN (k nearest neighbours) classification\\n**1. This is the first pipeline to upload (lands) dataset to Qdrant's collection.**\\n2. The second is the KNN classifier tool, which takes any image as input and classifies it based on queries to the Qdrant (lands) collection.\\n\\n### To recreate both\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) and [lands](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification) datasets from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"27776c4a-3bf9-4704-9c13-345b75ffacc0\",\n \"connections\": {\n \"Embed crop image\": {\n \"main\": [\n [\n {\n \"node\": \"Batch Upload to Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Cloud Storage\": {\n \"main\": [\n [\n {\n \"node\": \"Get fields for Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If collection exists\": {\n \"main\": [\n [\n {\n \"node\": \"Google Cloud Storage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Create Qdrant Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get fields for Qdrant\": {\n \"main\": [\n [\n {\n \"node\": \"Filtering out tomato to test anomalies\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Batch Upload to Qdrant\": {\n \"main\": [\n []\n ]\n },\n \"Create Qdrant Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Payload index on crop_name\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant cluster variables\": {\n \"main\": [\n [\n {\n \"node\": \"Check Qdrant Collection Existence\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Payload index on crop_name\": {\n \"main\": [\n [\n {\n \"node\": \"Google Cloud Storage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Batches in the API's format\": {\n \"main\": [\n [\n {\n \"node\": \"Embed crop image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Check Qdrant Collection Existence\": {\n \"main\": [\n [\n {\n \"node\": \"If collection exists\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant cluster variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Filtering out tomato to test anomalies\": {\n \"main\": [\n [\n {\n \"node\": \"Split in batches, generate uuids for Qdrant points\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split in batches, generate uuids for Qdrant points\": {\n \"main\": [\n [\n {\n \"node\": \"Batches in the API's format\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[1/3 - anomaly detection] [1/2 - KNN classification] Batch upload dataset to Qdrant (crops dataset)", "node_count": 25, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 18\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.if, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"itzURpN5wbUNOXOw\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[2/2] KNN classifier (lands dataset)\",\n \"tags\": [\n {\n \"id\": \"QN7etptCmdcGIpkS\",\n \"name\": \"classifier\",\n \"createdAt\": \"2024-12-08T22:08:15.968Z\",\n \"updatedAt\": \"2024-12-09T19:25:04.113Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"33373ccb-164e-431c-8a9a-d68668fc70be\",\n \"name\": \"Embed image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -140,\n -240\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"image_url\\\",\\n \\\"image_url\\\": $json.imageURL\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"58adecfa-45c7-4928-b850-053ea6f3b1c5\",\n \"name\": \"Query Qdrant\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 440,\n -240\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.ImageEmbedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"limit\\\": $json.limitKNN,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"258026b7-2dda-4165-bfe1-c4163b9caf78\",\n \"name\": \"Majority Vote\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 840,\n -240\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"from collections import Counter\\n\\ninput_json = _input.all()[0]\\npoints = input_json['json']['result']['points']\\nmajority_vote_two_most_common = Counter([point[\\\"payload\\\"][\\\"landscape_name\\\"] for point in points]).most_common(2)\\n\\nreturn [{\\n \\\"json\\\": {\\n \\\"result\\\": majority_vote_two_most_common \\n }\\n}]\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"e83e7a0c-cb36-46d0-8908-86ee1bddf638\",\n \"name\": \"Increase limitKNN\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1240,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"0b5d257b-1b27-48bc-bec2-78649bc844cc\",\n \"name\": \"limitKNN\",\n \"type\": \"number\",\n \"value\": \"={{ $('Propagate loop variables').item.json.limitKNN + 5}}\"\n },\n {\n \"id\": \"afee4bb3-f78b-4355-945d-3776e33337a4\",\n \"name\": \"ImageEmbedding\",\n \"type\": \"array\",\n \"value\": \"={{ $('Qdrant variables + embedding + KNN neigbours').first().json.ImageEmbedding }}\"\n },\n {\n \"id\": \"701ed7ba-d112-4699-a611-c0c134757a6c\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"={{ $('Qdrant variables + embedding + KNN neigbours').first().json.qdrantCloudURL }}\"\n },\n {\n \"id\": \"f5612f78-e7d8-4124-9c3a-27bd5870c9bf\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"={{ $('Qdrant variables + embedding + KNN neigbours').first().json.collectionName }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"8edbff53-cba6-4491-9d5e-bac7ad6db418\",\n \"name\": \"Propagate loop variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 640,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"880838bf-2be2-4f5f-9417-974b3cbee163\",\n \"name\": \"=limitKNN\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.points.length}}\"\n },\n {\n \"id\": \"5fff2bea-f644-4fd9-ad04-afbecd19a5bc\",\n \"name\": \"result\",\n \"type\": \"object\",\n \"value\": \"={{ $json.result }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6fad4cc0-f02c-429d-aa4e-0d69ebab9d65\",\n \"name\": \"Image Test URL\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -320,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"46ceba40-fb25-450c-8550-d43d8b8aa94c\",\n \"name\": \"imageURL\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query.imageURL }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"f02e79e2-32c8-4af0-8bf9-281119b23cc0\",\n \"name\": \"Return class\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1240,\n 0\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"bd8ca541-8758-4551-b667-1de373231364\",\n \"name\": \"class\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result[0][0] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"83ca90fb-d5d5-45f4-8957-4363a4baf8ed\",\n \"name\": \"Check tie\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1040,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"980663f6-9d7d-4e88-87b9-02030882472c\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"gt\"\n },\n \"leftValue\": \"={{ $json.result.length }}\",\n \"rightValue\": 1\n },\n {\n \"id\": \"9f46fdeb-0f89-4010-99af-624c1c429d6a\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $json.result[0][1] }}\",\n \"rightValue\": \"={{ $json.result[1][1] }}\"\n },\n {\n \"id\": \"c59bc4fe-6821-4639-8595-fdaf4194c1e1\",\n \"operator\": {\n \"type\": \"number\",\n \"operation\": \"lte\"\n },\n \"leftValue\": \"={{ $('Propagate loop variables').item.json.limitKNN }}\",\n \"rightValue\": 100\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"847ced21-4cfd-45d8-98fa-b578adc054d6\",\n \"name\": \"Qdrant variables + embedding + KNN neigbours\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 120,\n -240\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"de66070d-5e74-414e-8af7-d094cbc26f62\",\n \"name\": \"ImageEmbedding\",\n \"type\": \"array\",\n \"value\": \"={{ $json.data[0].embedding }}\"\n },\n {\n \"id\": \"58b7384d-fd0c-44aa-9f8e-0306a99be431\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"=https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"e34c4d88-b102-43cc-a09e-e0553f2da23a\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=land-use\"\n },\n {\n \"id\": \"db37e18d-340b-4624-84f6-df993af866d6\",\n \"name\": \"limitKNN\",\n \"type\": \"number\",\n \"value\": \"=10\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d1bc4edc-37d2-43ac-8d8b-560453e68d1f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -940,\n -120\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 320,\n \"height\": 540,\n \"content\": \"Here we're classifying existing types of satellite imagery of land types:\\n- 'agricultural',\\n- 'airplane',\\n- 'baseballdiamond',\\n- 'beach',\\n- 'buildings',\\n- 'chaparral',\\n- 'denseresidential',\\n- 'forest',\\n- 'freeway',\\n- 'golfcourse',\\n- 'harbor',\\n- 'intersection',\\n- 'mediumresidential',\\n- 'mobilehomepark',\\n- 'overpass',\\n- 'parkinglot',\\n- 'river',\\n- 'runway',\\n- 'sparseresidential',\\n- 'storagetanks',\\n- 'tenniscourt'\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"13560a31-3c72-43b8-9635-3f9ca11f23c9\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n -460\n ],\n \"parameters\": {\n \"color\": 6,\n \"content\": \"I tested this KNN classifier on a whole `test` set of a dataset (it's not a part of the collection, only `validation` + `train` parts). Accuracy of classification on `test` is **93.24%**, no fine-tuning, no metric learning.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8c9dcbcb-a1ad-430f-b7dd-e19b5645b0f6\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n -520,\n -240\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"b36fb270-2101-45e9-bb5c-06c4e07b769c\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1080,\n -520\n ],\n \"parameters\": {\n \"width\": 460,\n \"height\": 380,\n \"content\": \"## KNN classification workflow-tool\\n### This n8n template takes an image URL (as anomaly detection tool does), and as output, it returns a class of the object on the image (out of land types list)\\n\\n* An image URL is received via the Execute Workflow Trigger, which is then sent to the Voyage.ai Multimodal Embeddings API to fetch its embedding.\\n* The image's embedding vector is then used to query Qdrant, returning a set of X similar images with pre-labeled classes.\\n* Majority voting is done for classes of neighbouring images.\\n* A loop is used to resolve scenarios where there is a tie in Majority Voting (for example, we have 5 \\\"forest\\\" and 5 \\\"beach\\\"), and we increase the number of neighbours to retrieve.\\n* When the loop finally resolves, the identified class is returned to the calling workflow.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"51ece7fc-fd85-4d20-ae26-4df2d3893251\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n -40\n ],\n \"parameters\": {\n \"height\": 200,\n \"content\": \"Variables define another Qdrant's collection with landscapes (uploaded similarly as the crops collection, don't forget to switch it with your data) + amount of neighbours **limitKNN** in the database we'll use for an input image classification.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7aad5904-eb0b-4389-9d47-cc91780737ba\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -180,\n -60\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"Similarly to anomaly detection tool, we're embedding input image with the Voyage model\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d3702707-ee4a-481f-82ca-d9386f5b7c8a\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 440,\n -500\n ],\n \"parameters\": {\n \"width\": 740,\n \"height\": 200,\n \"content\": \"## Tie loop\\nHere we're [querying](https://api.qdrant.tech/api-reference/search/query-points) Qdrant, getting **limitKNN** nearest neighbours to our image <*Query Qdrant node*>, parsing their classes from payloads (images were pre-labeled & uploaded with their labels to Qdrant) & calculating the most frequent class name <*Majority Vote node*>. If there is a tie <*check tie node*> in 2 most common classes, for example, we have 5 \\\"forest\\\" and 5 \\\"harbor\\\", we repeat the procedure with the number of neighbours increased by 5 <*propagate loop variables node* and *increase limitKNN node*>.\\nIf there is no tie, or we have already checked 100 neighbours, we exit the loop <*check tie node*> and return the class-answer.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d26911bb-0442-4adc-8511-7cec2d232393\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1240,\n 160\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"Here, we extract the name of the input image class decided by the Majority Vote\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"84ffc859-1d5c-4063-9051-3587f30a0017\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -520,\n 80\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 260,\n \"content\": \"### KNN (k nearest neighbours) classification\\n1. The first pipeline is uploading (lands) dataset to Qdrant's collection.\\n2. **This is the KNN classifier tool, which takes any image as input and classifies it based on queries to the Qdrant (lands) collection.**\\n\\n### To recreate it\\nYou'll have to upload [lands](https://www.kaggle.com/datasets/apollo2506/landuse-scene-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"imageURL\": \"https://storage.googleapis.com/n8n-qdrant-demo/land-use/images_train_test_val/test/buildings/buildings_000323.png\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"c8cfe732-fd78-4985-9540-ed8cb2de7ef3\",\n \"connections\": {\n \"Check tie\": {\n \"main\": [\n [\n {\n \"node\": \"Increase limitKNN\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Return class\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embed image\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant variables + embedding + KNN neigbours\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Query Qdrant\": {\n \"main\": [\n [\n {\n \"node\": \"Propagate loop variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Majority Vote\": {\n \"main\": [\n [\n {\n \"node\": \"Check tie\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image Test URL\": {\n \"main\": [\n [\n {\n \"node\": \"Embed image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Increase limitKNN\": {\n \"main\": [\n [\n {\n \"node\": \"Query Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Image Test URL\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Propagate loop variables\": {\n \"main\": [\n [\n {\n \"node\": \"Majority Vote\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant variables + embedding + KNN neigbours\": {\n \"main\": [\n [\n {\n \"node\": \"Query Qdrant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[2/2] KNN classifier (lands dataset)", "node_count": 18, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for [2/3] set up medoids (2 types) for anomaly detection (crops dataset)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 48\n- Node Types: n8n-nodes-base.splitOut, n8n-nodes-base.set, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest, n8n-nodes-base.merge\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"m9aACcHqydEbH4nR\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"spMntyrlE9ydvWFA\",\n \"name\": \"anomaly-detection\",\n \"createdAt\": \"2024-12-08T22:05:15.945Z\",\n \"updatedAt\": \"2024-12-09T12:50:19.287Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"edaa871e-2b79-400e-8328-333d250bfdd2\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -660,\n -220\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"ebd964de-faa4-4dc0-9245-cc9154b9ce02\",\n \"name\": \"Total Points in Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 180,\n -220\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').item.json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').item.json.collectionName }}/points/count\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"exact\\\": true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b51f6344-d090-4341-a908-581b78664b07\",\n \"name\": \"Cluster Distance Matrix\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1200,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/search/matrix/offsets\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"sample\\\": $json.maxClusterSize,\\n \\\"limit\\\": $json.maxClusterSize,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"filter\\\": {\\n \\\"must\\\": {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": { \\\"value\\\": $json.cropName }\\n }\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"bebe5249-b138-4d7a-84b8-51eaed4331b8\",\n \"name\": \"Scipy Sparse Matrix\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1460,\n -360\n ],\n \"parameters\": {\n \"mode\": \"runOnceForEachItem\",\n \"language\": \"python\",\n \"pythonCode\": \"from scipy.sparse import coo_array\\n\\ncluster = _input.item.json['result']\\n\\nscores = list(cluster['scores'])\\noffsets_row = list(cluster['offsets_row'])\\noffsets_col = list(cluster['offsets_col'])\\n\\ncluster_matrix = coo_array((scores, (offsets_row, offsets_col)))\\nthe_most_similar_to_others = cluster_matrix.sum(axis=1).argmax()\\n\\nreturn {\\n \\\"json\\\": {\\n \\\"medoid_id\\\": cluster[\\\"ids\\\"][the_most_similar_to_others]\\n }\\n}\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"006c38bb-a271-40e1-9c5b-5a0a29ea96de\",\n \"name\": \"Set medoid id\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2000,\n -680\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_medoid\\\": true},\\n \\\"points\\\": [$json.medoid_id]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"aeeccfc5-67bf-4047-8a5a-8830e4fc87e8\",\n \"name\": \"Get Medoid Vector\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2000,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"ids\\\": [$json.medoid_id],\\n \\\"with_vector\\\": true,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"11fe54d5-9dc8-49ce-9e3f-1103ace0a3d5\",\n \"name\": \"Prepare for Searching Threshold\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2240,\n -360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6faa5949-968c-42bf-8ce8-cf2403566eba\",\n \"name\": \"oppositeOfCenterVector\",\n \"type\": \"array\",\n \"value\": \"={{ $json.result[0].vector.voyage.map(value => value * -1)}}\"\n },\n {\n \"id\": \"84eb42be-2ea5-4a76-9c76-f21a962360a3\",\n \"name\": \"cropName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result[0].payload.crop_name }}\"\n },\n {\n \"id\": \"b68d2e42-0dde-4875-bb59-056f29b6ac0a\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result[0].id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"4051b488-2e2e-4d33-9cc9-e1403c9173ed\",\n \"name\": \"Searching Score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2500,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.oppositeOfCenterVector,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"exact\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": {\\\"value\\\": $json.cropName }\\n }\\n ]\\n },\\n \\\"limit\\\": $('Medoids Variables').first().json.furthestFromCenter,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"1c6cb6ee-ce3a-4d1a-b1b4-1e59e9a8f5b6\",\n \"name\": \"Threshold Score\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2760,\n -360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"579a2ee4-0ab2-4fde-909a-01166624c9d8\",\n \"name\": \"thresholdScore\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.points.last().score * -1 }}\"\n },\n {\n \"id\": \"11eab775-f709-40a9-b0fe-d1059b67de05\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Prepare for Searching Threshold').item.json.centerId }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"1bab1b9e-7b80-4ef3-8e3d-be4874792e58\",\n \"name\": \"Set medoid threshold score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2940,\n -360\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_medoid_cluster_threshold\\\": $json.thresholdScore },\\n \\\"points\\\": [$json.centerId]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"cd5af197-4d79-49c2-aba6-a20571bd5c2e\",\n \"name\": \"Split Out1\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 860,\n 80\n ],\n \"parameters\": {\n \"options\": {\n \"destinationFieldName\": \"\"\n },\n \"fieldToSplitOut\": \"['text anchors']\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"956c126c-8bd6-4390-8704-3f0a5a2ce479\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1200,\n -80\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"fieldsToMatchString\": \"cropName\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"54a5d467-4985-49b5-9f13-e6563acf08b3\",\n \"name\": \"Textual (visual) crop descriptions\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 380,\n 80\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"{\\\"text anchors\\\": [{\\\"cropName\\\": \\\"pearl_millet(bajra)\\\", \\\"cropDescription\\\": \\\"pearl_millet(bajra) - Tall stalks with cylindrical, spiked green grain heads.\\\"},\\n{\\\"cropName\\\": \\\"tobacco-plant\\\", \\\"cropDescription\\\": \\\"tobacco-plant - Broad, oval leaves and small tubular flowers, typically pink or white.\\\"},\\n{\\\"cropName\\\": \\\"cherry\\\", \\\"cropDescription\\\": \\\"cherry - Small, glossy red fruits on a medium-sized tree with slender branches and serrated leaves.\\\"},\\n{\\\"cropName\\\": \\\"cotton\\\", \\\"cropDescription\\\": \\\"cotton - Bushy plant with fluffy white fiber-filled pods and lobed green leaves.\\\"},\\n{\\\"cropName\\\": \\\"banana\\\", \\\"cropDescription\\\": \\\"banana - Tall herbaceous plant with broad, elongated green leaves and hanging bunches of yellow fruits.\\\"},\\n{\\\"cropName\\\": \\\"cucumber\\\", \\\"cropDescription\\\": \\\"cucumber - Creeping vine with yellow flowers and elongated green cylindrical fruits.\\\"},\\n{\\\"cropName\\\": \\\"maize\\\", \\\"cropDescription\\\": \\\"maize - Tall stalks with broad leaves, tassels at the top, and ears of corn sheathed in husks.\\\"},\\n{\\\"cropName\\\": \\\"wheat\\\", \\\"cropDescription\\\": \\\"wheat - Slender, upright stalks with narrow green leaves and golden, spiky grain heads.\\\"},\\n{\\\"cropName\\\": \\\"clove\\\", \\\"cropDescription\\\": \\\"clove - Small tree with oval green leaves and clusters of unopened reddish flower buds.\\\"},\\n{\\\"cropName\\\": \\\"jowar\\\", \\\"cropDescription\\\": \\\"jowar - Tall grass-like plant with broad leaves and round, compact grain clusters at the top.\\\"},\\n{\\\"cropName\\\": \\\"olive-tree\\\", \\\"cropDescription\\\": \\\"olive-tree - Medium-sized tree with silvery-green leaves and small oval green or black fruits.\\\"},\\n{\\\"cropName\\\": \\\"soyabean\\\", \\\"cropDescription\\\": \\\"soyabean - Bushy plant with trifoliate green leaves and small pods containing rounded beans.\\\"},\\n{\\\"cropName\\\": \\\"coffee-plant\\\", \\\"cropDescription\\\": \\\"coffee-plant - Shrub with shiny dark green leaves and clusters of small white flowers, followed by red berries.\\\"},\\n{\\\"cropName\\\": \\\"rice\\\", \\\"cropDescription\\\": \\\"rice - Short, water-loving grass with narrow green leaves and drooping golden grain heads.\\\"},\\n{\\\"cropName\\\": \\\"lemon\\\", \\\"cropDescription\\\": \\\"lemon - Small tree with glossy green leaves and oval yellow fruits.\\\"},\\n{\\\"cropName\\\": \\\"mustard-oil\\\", \\\"cropDescription\\\": \\\"mustard-oil - Small herbaceous plant with yellow flowers and slender seed pods.\\\"},\\n{\\\"cropName\\\": \\\"vigna-radiati(mung)\\\", \\\"cropDescription\\\": \\\"vigna-radiati(mung) - Low-growing plant with trifoliate leaves and small green pods containing mung beans.\\\"},\\n{\\\"cropName\\\": \\\"coconut\\\", \\\"cropDescription\\\": \\\"coconut - Tall palm tree with feathery leaves and large round fibrous fruits.\\\"},\\n{\\\"cropName\\\": \\\"gram\\\", \\\"cropDescription\\\": \\\"gram - Low bushy plant with feathery leaves and small pods containing round seeds.\\\"},\\n{\\\"cropName\\\": \\\"pineapple\\\", \\\"cropDescription\\\": \\\"pineapple - Low plant with spiky, sword-shaped leaves and large, spiky golden fruits.\\\"},\\n{\\\"cropName\\\": \\\"sugarcane\\\", \\\"cropDescription\\\": \\\"sugarcane - Tall, jointed stalks with long narrow leaves and a sweet interior.\\\"},\\n{\\\"cropName\\\": \\\"sunflower\\\", \\\"cropDescription\\\": \\\"sunflower - Tall plant with rough green leaves and large bright yellow flower heads.\\\"},\\n{\\\"cropName\\\": \\\"chilli\\\", \\\"cropDescription\\\": \\\"chilli - Small bushy plant with slender green or red elongated fruits.\\\"},\\n{\\\"cropName\\\": \\\"fox_nut(makhana)\\\", \\\"cropDescription\\\": \\\"fox_nut(makhana) - Aquatic plant with floating round leaves and spiny white seeds.\\\"},\\n{\\\"cropName\\\": \\\"jute\\\", \\\"cropDescription\\\": \\\"jute - Tall plant with long, straight stalks and narrow green leaves.\\\"},\\n{\\\"cropName\\\": \\\"papaya\\\", \\\"cropDescription\\\": \\\"papaya - Medium-sized tree with hollow trunk, large lobed leaves, and yellow-orange pear-shaped fruits.\\\"},\\n{\\\"cropName\\\": \\\"tea\\\", \\\"cropDescription\\\": \\\"tea - Small shrub with glossy dark green leaves and small white flowers.\\\"},\\n{\\\"cropName\\\": \\\"cardamom\\\", \\\"cropDescription\\\": \\\"cardamom - Low tropical plant with broad leaves and clusters of small, light green pods.\\\"},\\n{\\\"cropName\\\": \\\"almond\\\", \\\"cropDescription\\\": \\\"almond - Medium-sized tree with serrated leaves and oval green pods containing edible nuts.\\\"}]}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"14c25e76-8a2c-4df8-98ea-b2f31b15fd1f\",\n \"name\": \"Embed text\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1460,\n -80\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"text\\\",\\n \\\"text\\\": $json.cropDescription\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"query\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8763db0a-9a92-4ffd-8a40-c7db614b735f\",\n \"name\": \"Get Medoid by Text\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1640,\n -80\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.data[0].embedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"exact\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": {\\\"value\\\": $('Merge').item.json.cropName }\\n }\\n ]\\n },\\n \\\"limit\\\": 1,\\n \\\"with_payload\\\": true,\\n \\\"with_vector\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5c770ca2-6e1a-4c4b-80e0-dcbeeda43a0f\",\n \"name\": \"Set text medoid id\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2000,\n 160\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_text_anchor_medoid\\\": true},\\n \\\"points\\\": [$json.result.points[0].id]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c08ff472-51ab-4c3d-b9c0-2170fda2ccef\",\n \"name\": \"Prepare for Searching Threshold1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2300,\n 80\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"6faa5949-968c-42bf-8ce8-cf2403566eba\",\n \"name\": \"oppositeOfCenterVector\",\n \"type\": \"array\",\n \"value\": \"={{ $json.result.points[0].vector.voyage.map(value => value * -1)}}\"\n },\n {\n \"id\": \"84eb42be-2ea5-4a76-9c76-f21a962360a3\",\n \"name\": \"cropName\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result.points[0].payload.crop_name }}\"\n },\n {\n \"id\": \"b68d2e42-0dde-4875-bb59-056f29b6ac0a\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $json.result.points[0].id }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"84ba4de5-aa9b-43fb-89cb-70db0b3ca334\",\n \"name\": \"Threshold Score1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2820,\n 80\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"579a2ee4-0ab2-4fde-909a-01166624c9d8\",\n \"name\": \"thresholdScore\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.points.last().score * -1 }}\"\n },\n {\n \"id\": \"11eab775-f709-40a9-b0fe-d1059b67de05\",\n \"name\": \"centerId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Prepare for Searching Threshold1').item.json.centerId }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"f490d224-38a8-4087-889d-1addb4472471\",\n \"name\": \"Searching Text Medoid Score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2560,\n 80\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.oppositeOfCenterVector,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"exact\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n {\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"match\\\": {\\\"value\\\": $json.cropName }\\n }\\n ]\\n },\\n \\\"limit\\\": $('Text Medoids Variables').first().json.furthestFromCenter,\\n \\\"with_payload\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"f5035aca-1706-4c8d-bd26-49b3451ae04b\",\n \"name\": \"Medoids Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -140,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5eb23ad2-aacd-468f-9a27-ef2b63e6bd08\",\n \"name\": \"furthestFromCenter\",\n \"type\": \"number\",\n \"value\": 5\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"c9cad66d-4a76-4092-bfd6-4860493f942a\",\n \"name\": \"Text Medoids Variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -140,\n 80\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5eb23ad2-aacd-468f-9a27-ef2b63e6bd08\",\n \"name\": \"furthestFromCenter\",\n \"type\": \"number\",\n \"value\": 1\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ecab63f7-7a72-425a-8f5a-0c707e7f77bc\",\n \"name\": \"Qdrant cluster variables\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -420,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"58b7384d-fd0c-44aa-9f8e-0306a99be431\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"=https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"e34c4d88-b102-43cc-a09e-e0553f2da23a\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6e81f0b0-3843-467e-9c93-40026e57fa91\",\n \"name\": \"Info About Crop Clusters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 600,\n -220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5327b254-b703-4a34-a398-f82edb1d6d6b\",\n \"name\": \"=cropsNumber\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.hits.length }}\"\n },\n {\n \"id\": \"79168efa-11b8-4a7b-8851-da9c8cbd700b\",\n \"name\": \"maxClusterSize\",\n \"type\": \"number\",\n \"value\": \"={{ Math.max(...$json.result.hits.map(item => item.count)) }}\"\n },\n {\n \"id\": \"e1367cec-9629-4c69-a8d7-3eeae3ac94d3\",\n \"name\": \"cropNames\",\n \"type\": \"array\",\n \"value\": \"={{ $json.result.hits.map(item => item.value)}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"20191c0a-5310-48f2-8be4-1d160f237db2\",\n \"name\": \"Crop Counts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 380,\n -220\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/facet\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"limit\\\": $json.result.count,\\n \\\"exact\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"a81103bb-6522-49a2-8102-83c7e004b9b3\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1260,\n -340\n ],\n \"parameters\": {\n \"width\": 520,\n \"height\": 240,\n \"content\": \"## Setting Up Medoids for Anomaly Detection\\n### Preparatory workflow to set cluster centres and cluster threshold scores, so anomalies can be detected based on these thresholds\\nHere, we're using two approaches to set up these centres: the upper branch is the *\\\"distance matrix approach\\\"*, and the lower is the *\\\"multimodal embedding model approach\\\"*.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"38fc8252-7e27-450d-b09e-59ceaebc5378\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -420,\n -340\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"Once again, variables for Qdrant: cluster URL and a collection we're working with\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2d0e3b52-d382-428c-9b37-870f4c53b8e7\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n -360\n ],\n \"parameters\": {\n \"height\": 100,\n \"content\": \"Which point in the cluster we're using to draw threshold on: the furthest one from center, or the 2nd, ... Xth furthest one;\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b0b300f3-e2c9-4c36-8a1d-6705932c296c\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n -500\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 240,\n \"content\": \"Here we are getting [facet counts](https://qdrant.tech/documentation/concepts/payload/?q=facet#facet-counts): information which unique values are there behind *\\\"crop_name\\\"* payload and how many points have these values (for example, we have 31 *\\\"cucumber\\\"* and 29 *\\\"cotton\\\"*)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0d2584da-5fd0-4830-b329-c78b0debf584\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n 260\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"Which point in the cluster we're using to draw threshold on: the furthest one from center, or the 2nd, ... Xth furthest one;\\n \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f4c98469-d426-415c-916d-1bc442cf6a21\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 120,\n -400\n ],\n \"parameters\": {\n \"height\": 140,\n \"content\": \"We need to get the [total amount of points](https://qdrant.tech/documentation/concepts/points/?q=count#counting-points) in Qdrant collection to use it as a `limit` in the *\\\"Crop Counts\\\"* node, so we won't lose any information;\\n \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"037af9df-34c4-488d-8c89-561ac25247c4\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 600,\n -640\n ],\n \"parameters\": {\n \"width\": 220,\n \"height\": 380,\n \"content\": \"Here we're extracting and gathering all the information about crop clusters, so we can call [Qdrant distance matrix API](https://qdrant.tech/documentation/concepts/explore/?q=distance+#distance-matrix) for each cluster.\\nWe're propagating **the biggest cluster size** (of labeled data, in our case all data is labeled; for real use cases don't call distance matrix API if your labeled data is more than a couple of hundreds), **the number of unique crop values** and **unique crop values** themselves. We will run the algorithm once per unique crop cluster (to find it's center and threshold).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b4e635e3-233d-4358-ad11-250a2b14a2f7\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n 260\n ],\n \"parameters\": {\n \"height\": 200,\n \"content\": \"Hardcoded descriptions on how each crop usually looks; They were generated with chatGPT, and that can be technically done directly in n8n based on the crop name or a crop picture (we need a good description of how the most normal specimen of a crop looks like)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4fda1841-e7e3-4bd2-acf2-ee7338598184\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n -800\n ],\n \"parameters\": {\n \"height\": 400,\n \"content\": \"Calling [distance matrix API](https://qdrant.tech/documentation/concepts/explore/?q=distance+#distance-matrix) once per cluster. \\n\\n`sample` - how many points we are sampling (here filtered by `crop_name` field, so we are sampling within each cluster, and since we are passing the biggest cluster size to `sample`, we will get all points from each cluster.\\n\\n`limit` is the number of neighbours distance to which we will see calculated. Since we want all pairwise distances between the points within a cluster, here we're once again setting an upper limit equal to the biggest cluster size; \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"19c4bb6d-abcb-423b-b883-48c779d0307d\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 860,\n -220\n ],\n \"parameters\": {\n \"include\": \"allOtherFields\",\n \"options\": {\n \"destinationFieldName\": \"cropName\"\n },\n \"fieldToSplitOut\": \"cropNames\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f6d74ced-1998-4dbd-ab04-ca1b6ea409a5\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 840,\n -60\n ],\n \"parameters\": {\n \"width\": 150,\n \"height\": 80,\n \"content\": \"Splitting out into each unique crop cluster\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b3adb2bc-61f5-42ff-bb5d-11faa12189b7\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1460,\n -640\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 240,\n \"content\": \"Using distance matrix generated by Qdrant and `coo_array` from `scipy`, we're finding a **representative** for each cluster (point which is the most similar to all other points within a cluster, based on the **Cosine** distance)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d9d3953e-8b69-4b6a-86f2-b2d2db28d4ad\",\n \"name\": \"Sticky Note12\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 100\n ],\n \"parameters\": {\n \"height\": 280,\n \"content\": \"To find a **representative** with this approach, we:\\n1) Embed descriptions of crops with the same Voyage model we used for images (we can do so, since model is multimodal)\\n2) For each (crop) cluster, find an image the closest by **Cosine** similarity metric to this embedded description. We will consider it a perfect representative of the cluster\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8751efd4-d85e-4dc8-86ef-90073d49b6df\",\n \"name\": \"Sticky Note13\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1460,\n 100\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 140,\n \"content\": \"Embedding descriptions with Voyage model \\n[Note] mind `input_type`, it's *\\\"query\\\"*\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"652bc70a-4e6f-416a-977b-5d29ae9cb4f0\",\n \"name\": \"Sticky Note14\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1640,\n 100\n ],\n \"parameters\": {\n \"height\": 260,\n \"content\": \"Find the closest image to the description embeddings (done per cluster)\\n[Note] Mind `exact` parameter\\n[Note] `limit` is 1 because vector database always returns points sorted by distance from the most similar one to the least\\n[Note] `using` parameter is here because our vectors uploaded in the previous pipeline are named *\\\"voyage\\\"*.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a5836982-0de0-4692-883c-267602468ed2\",\n \"name\": \"Set text medoid threshold score\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3000,\n 80\n ],\n \"parameters\": {\n \"url\": \"={{ $('Qdrant cluster variables').first().json.qdrantCloudURL }}/collections/{{ $('Qdrant cluster variables').first().json.collectionName }}/points/payload\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"payload\\\": {\\\"is_text_anchor_medoid_cluster_threshold\\\": $json.thresholdScore },\\n \\\"points\\\": [$json.centerId]\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5354d197-be5e-4add-b721-9e5e3943e53d\",\n \"name\": \"Sticky Note15\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1960,\n -460\n ],\n \"parameters\": {\n \"width\": 200,\n \"height\": 80,\n \"content\": \"Fetching vectors of centres by their IDs\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"93043602-92bc-40ac-b967-ddb7289e5d22\",\n \"name\": \"Sticky Note16\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2000,\n -820\n ],\n \"parameters\": {\n \"height\": 100,\n \"content\": \"Set in Qdrant *\\\"is_medoid\\\"* [payloads](https://qdrant.tech/documentation/concepts/payload/) for points which were defined as centres by *\\\"distance matrix approach\\\"*\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cb1364ad-e21c-4336-9a5b-15e80c2ed2f2\",\n \"name\": \"Sticky Note17\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2280,\n 260\n ],\n \"parameters\": {\n \"height\": 180,\n \"content\": \"Here, we don't have to fetch a vector by point id as in the *\\\"distance matrix approach\\\"*, since [an API call in the previous node](https://api.qdrant.tech/api-reference/search/query-points) is able to return vectors stored in Qdrant as a response, while the distance matrix API returns only points IDs.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6d735a28-a93e-41f1-9889-2557a1dd7aec\",\n \"name\": \"Sticky Note18\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1980,\n 320\n ],\n \"parameters\": {\n \"height\": 140,\n \"content\": \"Set in Qdrant *\\\"is_text_anchor_medoid\\\"* [payloads](https://qdrant.tech/documentation/concepts/payload/) for points which were defined as centres by *\\\"multimodal embedding model approach\\\"*.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7c6796a9-260b-41c0-9ac7-feb5d4d95c19\",\n \"name\": \"Sticky Note19\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2240,\n -500\n ],\n \"parameters\": {\n \"width\": 440,\n \"height\": 100,\n \"content\": \"Starting from here, this and the three following nodes are analogous for both methods, with a difference only in variable names. The goal is to find a **class (cluster) threshold score** so we can use it for anomaly detection (for each class).\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5025936d-d49c-4cc1-a675-3bde71627c40\",\n \"name\": \"Sticky Note20\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2280,\n -180\n ],\n \"parameters\": {\n \"height\": 220,\n \"content\": \"Finding the most dissimilar point to a centre vector (within each class) is equivalent to finding the most similar point to the [opposite](https://mathinsight.org/image/vector_opposite) of a centre vector, aka the centre vector with all coordinates multiplied by -1. It is always true with **Cosine** vector similarity metric (that we're using).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fa9026e4-0c92-4755-92a0-5e400b5f04c9\",\n \"name\": \"Sticky Note21\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2580,\n -140\n ],\n \"parameters\": {\n \"width\": 520,\n \"height\": 140,\n \"content\": \"So here, we found the most dissimilar point within the crop class to the class centre (or the Xth dissimilar point, depending on a variable set in the beginning of this pipeline). Our **threshold score** is the similarity score between this point and the class centre. Now we're saving it as meta information of each class centre point. All preparatory work for anomaly detection is done.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8e172a7c-6865-4daf-9d9c-86e0dba2c0a2\",\n \"name\": \"Sticky Note22\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -900,\n -820\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 300,\n \"content\": \"### For anomaly detection\\n1. The first pipeline is uploading (crops) dataset to Qdrant's collection.\\n2. **This is the second pipeline, to set up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.**\\n3. The third one is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.\\n\\n### To recreate it\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"a23fc305-7ecd-4754-b208-2d964d9b1eda\",\n \"connections\": {\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Embed text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Cluster Distance Matrix\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embed text\": {\n \"main\": [\n [\n {\n \"node\": \"Get Medoid by Text\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Split Out1\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Crop Counts\": {\n \"main\": [\n [\n {\n \"node\": \"Info About Crop Clusters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set medoid id\": {\n \"main\": [\n []\n ]\n },\n \"Searching Score\": {\n \"main\": [\n [\n {\n \"node\": \"Threshold Score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Threshold Score\": {\n \"main\": [\n [\n {\n \"node\": \"Set medoid threshold score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Threshold Score1\": {\n \"main\": [\n [\n {\n \"node\": \"Set text medoid threshold score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Medoid Vector\": {\n \"main\": [\n [\n {\n \"node\": \"Prepare for Searching Threshold\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Medoids Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Total Points in Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Medoid by Text\": {\n \"main\": [\n [\n {\n \"node\": \"Set text medoid id\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Prepare for Searching Threshold1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Scipy Sparse Matrix\": {\n \"main\": [\n [\n {\n \"node\": \"Set medoid id\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Get Medoid Vector\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Text Medoids Variables\": {\n \"main\": [\n [\n {\n \"node\": \"Textual (visual) crop descriptions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Cluster Distance Matrix\": {\n \"main\": [\n [\n {\n \"node\": \"Scipy Sparse Matrix\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Info About Crop Clusters\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Qdrant cluster variables\": {\n \"main\": [\n [\n {\n \"node\": \"Medoids Variables\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Text Medoids Variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Total Points in Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Crop Counts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Searching Text Medoid Score\": {\n \"main\": [\n [\n {\n \"node\": \"Threshold Score1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prepare for Searching Threshold\": {\n \"main\": [\n [\n {\n \"node\": \"Searching Score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Prepare for Searching Threshold1\": {\n \"main\": [\n [\n {\n \"node\": \"Searching Text Medoid Score\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Qdrant cluster variables\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Textual (visual) crop descriptions\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[2/3] Set up medoids (2 types) for anomaly detection (crops dataset)", "node_count": 48, "category": "General Automation"}} {"prompt": "Design a workflow using n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote to [3/3] anomaly detection tool (crops dataset)", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 17\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"G8jRDBvwsMkkMiLN\",\n \"meta\": {\n \"instanceId\": \"205b3bc06c96f2dc835b4f00e1cbf9a937a74eeb3b47c99d0c30b0586dbf85aa\"\n },\n \"name\": \"[3/3] Anomaly detection tool (crops dataset)\",\n \"tags\": [\n {\n \"id\": \"spMntyrlE9ydvWFA\",\n \"name\": \"anomaly-detection\",\n \"createdAt\": \"2024-12-08T22:05:15.945Z\",\n \"updatedAt\": \"2024-12-09T12:50:19.287Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"e01bafec-eb24-44c7-b3c4-a60f91666350\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n 180\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 400,\n \"height\": 740,\n \"content\": \"We are working here with crops dataset: \\nExisting (so not anomalies) crops images in dataset are:\\n- 'pearl_millet(bajra)',\\n- 'tobacco-plant',\\n- 'cherry',\\n- 'cotton',\\n- 'banana',\\n- 'cucumber',\\n- 'maize',\\n- 'wheat',\\n- 'clove',\\n- 'jowar',\\n- 'olive-tree',\\n- 'soyabean',\\n- 'coffee-plant',\\n- 'rice',\\n- 'lemon',\\n- 'mustard-oil',\\n- 'vigna-radiati(mung)',\\n- 'coconut',\\n- 'gram',\\n- 'pineapple',\\n- 'sugarcane',\\n- 'sunflower',\\n- 'chilli',\\n- 'fox_nut(makhana)',\\n- 'jute',\\n- 'papaya',\\n- 'tea',\\n- 'cardamom',\\n- 'almond'\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b9943781-de1f-4129-9b81-ed836e9ebb11\",\n \"name\": \"Embed image\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 680,\n 60\n ],\n \"parameters\": {\n \"url\": \"https://api.voyageai.com/v1/multimodalembeddings\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"inputs\\\": [\\n {\\n \\\"content\\\": [\\n {\\n \\\"type\\\": \\\"image_url\\\",\\n \\\"image_url\\\": $('Image URL hardcode').first().json.imageURL\\n }\\n ]\\n }\\n ],\\n \\\"model\\\": \\\"voyage-multimodal-3\\\",\\n \\\"input_type\\\": \\\"document\\\"\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpHeaderAuth\"\n },\n \"credentials\": {\n \"httpHeaderAuth\": {\n \"id\": \"Vb0RNVDnIHmgnZOP\",\n \"name\": \"Voyage API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"47b72bc2-4817-48c6-b517-c1328e402468\",\n \"name\": \"Get similarity of medoids\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 940,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/points/query\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"query\\\": $json.data[0].embedding,\\n \\\"using\\\": \\\"voyage\\\",\\n \\\"limit\\\": $('Info About Crop Labeled Clusters').first().json.cropsNumber,\\n \\\"with_payload\\\": true,\\n \\\"filter\\\": {\\n \\\"must\\\": [\\n { \\n \\\"key\\\": $('Variables for medoids').first().json.clusterCenterType,\\n \\\"match\\\": {\\n \\\"value\\\": true\\n }\\n }\\n ]\\n }\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"42d7eb27-ec38-4406-b5c4-27eb45358e93\",\n \"name\": \"Compare scores\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 1140,\n 60\n ],\n \"parameters\": {\n \"language\": \"python\",\n \"pythonCode\": \"points = _input.first()['json']['result']['points']\\nthreshold_type = _('Variables for medoids').first()['json']['clusterThresholdCenterType']\\n\\nmax_score = -1\\ncrop_with_max_score = None\\nundefined = True\\n\\nfor center in points:\\n if center['score'] >= center['payload'][threshold_type]:\\n undefined = False\\n if center['score'] > max_score:\\n max_score = center['score']\\n crop_with_max_score = center['payload']['crop_name']\\n\\nif undefined:\\n result_message = \\\"ALERT, we might have a new undefined crop!\\\"\\nelse:\\n result_message = f\\\"Looks similar to {crop_with_max_score}\\\"\\n\\nreturn [{\\n \\\"json\\\": {\\n \\\"result\\\": result_message\\n }\\n}]\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"23aa604a-ff0b-4948-bcd5-af39300198c0\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1200,\n -220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 380,\n \"content\": \"## Crop Anomaly Detection Tool\\n### This is the tool that can be used directly for anomalous crops detection. \\nIt takes as input (any) **image URL** and returns a **text message** telling if whatever this image depicts is anomalous to the crop dataset stored in Qdrant. \\n\\n* An Image URL is received via the Execute Workflow Trigger which is used to generate embedding vectors via the Voyage.ai Embeddings API.\\n* The returned vectors are used to query the Qdrant collection to determine if the given crop is known by comparing it to **threshold scores** of each image class (crop type).\\n* If the image scores lower than all thresholds, then the image is considered an anomaly for the dataset.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a79eca2-44f9-4aee-8a0d-9c7ca2f9149d\",\n \"name\": \"Variables for medoids\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -200,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dbbc1e7b-c63e-4ff1-9524-8ef3e9f6cd48\",\n \"name\": \"clusterCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid\"\n },\n {\n \"id\": \"a994ce37-2530-4030-acfb-ec777a7ddb05\",\n \"name\": \"qdrantCloudURL\",\n \"type\": \"string\",\n \"value\": \"https://152bc6e2-832a-415c-a1aa-fb529f8baf8d.eu-central-1-0.aws.cloud.qdrant.io\"\n },\n {\n \"id\": \"12f0a9e6-686d-416e-a61b-72d034ec21ba\",\n \"name\": \"collectionName\",\n \"type\": \"string\",\n \"value\": \"=agricultural-crops\"\n },\n {\n \"id\": \"4c88a617-d44f-4776-b457-8a1dffb1d03c\",\n \"name\": \"clusterThresholdCenterType\",\n \"type\": \"string\",\n \"value\": \"is_medoid_cluster_threshold\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"13b25434-bd66-4293-93f1-26c67b9ec7dd\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -340,\n 260\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 360,\n \"height\": 200,\n \"content\": \"**clusterCenterType** - either\\n* \\\"is_text_anchor_medoid\\\" or\\n* \\\"is_medoid\\\"\\n\\n\\n**clusterThresholdCenterType** - either\\n* \\\"is_text_anchor_medoid_cluster_threshold\\\" or\\n* \\\"is_medoid_cluster_threshold\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"869b0962-6cae-487d-8230-539a0cc4c14c\",\n \"name\": \"Info About Crop Labeled Clusters\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 440,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"5327b254-b703-4a34-a398-f82edb1d6d6b\",\n \"name\": \"=cropsNumber\",\n \"type\": \"number\",\n \"value\": \"={{ $json.result.hits.length }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"5d3956f8-f43b-439e-b176-a594a21d8011\",\n \"name\": \"Total Points in Collection\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 40,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $json.qdrantCloudURL }}/collections/{{ $json.collectionName }}/points/count\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"exact\\\": true\\n}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"14ba3db9-3965-4b20-b333-145616d45c3a\",\n \"name\": \"Each Crop Counts\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 240,\n 60\n ],\n \"parameters\": {\n \"url\": \"={{ $('Variables for medoids').first().json.qdrantCloudURL }}/collections/{{ $('Variables for medoids').first().json.collectionName }}/facet\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"key\\\": \\\"crop_name\\\",\\n \\\"limit\\\": $json.result.count,\\n \\\"exact\\\": true\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"qdrantApi\"\n },\n \"credentials\": {\n \"qdrantApi\": {\n \"id\": \"it3j3hP9FICqhgX6\",\n \"name\": \"QdrantApi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e37c6758-0556-4a56-ab14-d4df663cb53a\",\n \"name\": \"Image URL hardcode\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n -480,\n 60\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"46ceba40-fb25-450c-8550-d43d8b8aa94c\",\n \"name\": \"imageURL\",\n \"type\": \"string\",\n \"value\": \"={{ $json.query.imageURL }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"b24ad1a7-0cf8-4acc-9c18-6fe9d58b10f2\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n -720,\n 60\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"50424f2b-6831-41bf-8de4-81f69d901ce1\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -240,\n -80\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 120,\n \"content\": \"Variables to access Qdrant's collection we uploaded & prepared for anomaly detection in 2 previous pipelines\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e8ed3ca-1bba-4214-b34b-376a237842ff\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 40,\n -120\n ],\n \"parameters\": {\n \"width\": 560,\n \"height\": 140,\n \"content\": \"These three nodes are needed just to figure out how many different classes (crops) we have in our Qdrant collection: **cropsNumber** (needed in *\\\"Get similarity of medoids\\\"* node. \\n[Note] *\\\"Total Points in Collection\\\"* -> *\\\"Each Crop Counts\\\"* were used&explained already in *\\\"[2/4] Set up medoids (2 types) for anomaly detection (crops dataset)\\\"* pipeline.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e2fa5763-6e97-4ff5-8919-1cb85a3c6968\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n 240\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"Here, we're embedding the image passed to this workflow tool with the Voyage embedding model to compare the image to all crop images in the database.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cdb6b8d3-f7f4-4d66-850f-ce16c8ed98b9\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 920,\n 220\n ],\n \"parameters\": {\n \"width\": 400,\n \"height\": 180,\n \"content\": \"Checking how similar the image is to all the centres of clusters (crops).\\nIf it's more similar to the thresholds we set up and stored in centres in the previous workflow, the image probably belongs to this crop class; otherwise, it's anomalous to the class. \\nIf image is anomalous to all the classes, it's an anomaly.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"03b4699f-ba43-4f5f-ad69-6f81deea2641\",\n \"name\": \"Sticky Note22\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -620,\n 580\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 540,\n \"height\": 300,\n \"content\": \"### For anomaly detection\\n1. The first pipeline is uploading (crops) dataset to Qdrant's collection.\\n2. The second pipeline sets up cluster (class) centres in this Qdrant collection & cluster (class) threshold scores.\\n3. **This is the anomaly detection tool, which takes any image as input and uses all preparatory work done with Qdrant (crops) collection.**\\n\\n### To recreate it\\nYou'll have to upload [crops](https://www.kaggle.com/datasets/mdwaquarazam/agricultural-crops-image-classification) dataset from Kaggle to your own Google Storage bucket, and re-create APIs/connections to [Qdrant Cloud](https://qdrant.tech/documentation/quickstart-cloud/) (you can use **Free Tier** cluster), Voyage AI API & Google Cloud Storage\\n\\n**In general, pipelines are adaptable to any dataset of images**\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {\n \"Execute Workflow Trigger\": [\n {\n \"json\": {\n \"query\": {\n \"imageURL\": \"https://storage.googleapis.com/n8n-qdrant-demo/agricultural-crops%2Fcotton%2Fimage%20(36).jpg\"\n }\n }\n }\n ]\n },\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"f67b764b-9e1a-4db0-b9f2-490077a62f74\",\n \"connections\": {\n \"Embed image\": {\n \"main\": [\n [\n {\n \"node\": \"Get similarity of medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Each Crop Counts\": {\n \"main\": [\n [\n {\n \"node\": \"Info About Crop Labeled Clusters\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Image URL hardcode\": {\n \"main\": [\n [\n {\n \"node\": \"Variables for medoids\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Variables for medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Total Points in Collection\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Image URL hardcode\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get similarity of medoids\": {\n \"main\": [\n [\n {\n \"node\": \"Compare scores\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Total Points in Collection\": {\n \"main\": [\n [\n {\n \"node\": \"Each Crop Counts\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Info About Crop Labeled Clusters\": {\n \"main\": [\n [\n {\n \"node\": \"Embed image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "[3/3] Anomaly detection tool (crops dataset)", "node_count": 17, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 34\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.wait, n8n-nodes-base.splitInBatches, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.filter, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"cb62c9a5-2f43-4328-af94-84c2cb731d9c\",\n \"name\": \"Base Image\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n 260,\n 660\n ],\n \"parameters\": {\n \"fileId\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $json.base }}\"\n },\n \"options\": {\n \"binaryPropertyName\": \"data_1\"\n },\n \"operation\": \"download\"\n },\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"yOwz41gMQclOadgu\",\n \"name\": \"Google Drive account\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"b1c304cc-9949-441a-ac2a-275c8d4c51fc\",\n \"name\": \"Google Gemini Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatGoogleGemini\",\n \"position\": [\n 1120,\n 900\n ],\n \"parameters\": {\n \"options\": {},\n \"modelName\": \"models/gemini-1.5-pro-latest\"\n },\n \"credentials\": {\n \"googlePalmApi\": {\n \"id\": \"dSxo6ns5wn658r8N\",\n \"name\": \"Google Gemini(PaLM) Api account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"964d94bf-be2a-424e-ab0e-c1c1fe260ebd\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1320,\n 900\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n\\t\\\"properties\\\": {\\n\\t\\t\\\"type\\\": {\\n \\t\\t\\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"type of regression. One of text, number, image, color or position.\\\"\\n \\t\\t},\\n\\t\\t\\\"description\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"previous_state\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"current_state\\\": { \\\"type\\\": \\\"string\\\" }\\n\\t}\\n }\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"67195eb2-1729-42b0-8275-bdd6128b81aa\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2340,\n 20\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 405.95003875719203,\n \"height\": 180.74812634463558,\n \"content\": \"### Part A. Generate Base Images\\nBefore we can run our visual regression tests, we must generate a series of base screenshots to compare against. This part of the workflow uses an external website screenshotting service, [Apify.com](https://www.apify.com?fpr=414q6), to achieve this. This part of the workflow should only be run when we want to update our base screenshots.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"85f9b371-1710-4c9c-a0ed-210d9c0e5d64\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 162.7495769165307,\n 500\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 702.1744987652204,\n \"height\": 548.4621171664835,\n \"content\": \"## 5. Download Base and Generate new Webpage Screenshot\\n[Learn more about Apify.com](https://www.apify.com?fpr=414q6)\\n\\nLooping for each webpage, we'll do 2 tasks (1) download the base screenshot for the url and (2) and use our [Apify.com](https://www.apify.com?fpr=414q6) webpage screenshot actor again to generate a fresh screenshot.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8bff4efc-d9f9-485c-b51d-a8edc29d1105\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 900,\n 500\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 759.5372282495247,\n \"height\": 548.702446115556,\n \"content\": \"## 6. Compare Screenshots using Vision Model\\n[Read more about the basic LLM chain](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm/)\\n\\nTo carry out our visual regression test, we need to send both screenshots simultaneously to our Vision model. This is easily achieved using n8n's built-in basic LLM chain where we can define two user messages of the binary type. For our vision model, we'll use Google's Gemini but any capable vision model will also do the job. A Structured Output Parser is used here to return the AI's response in JSON format, this is for easier formatting purposes which we'll get to in the next step.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a92d11e5-0985-4a8f-bc43-8bc0ca48e744\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 397.518987341772,\n 93.8157360237642\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 885.2402868841493,\n \"height\": 388.92815062755926,\n \"content\": \"## 7. Create Report In Linear\\n[Learn more about integrating with Linear.app](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.linear)\\n\\nFor the final step, we'll generate a simple report which will capture any changes detected in our webpages list. Let's do this by first combining our webpages with their test results and filter out any in the page where no changes were detected. Next, we'll aggregate all changes into the Linear.app node which will be formatted into a markdown snippet and used to create a new issue in Linear. If you don't use Linear, feel free to swap this out for JIRA or even Slack.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3f52c006-6c0a-456d-ab3c-ee5a16726299\",\n \"name\": \"Loop Over Items\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -1680,\n 580\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"478ee25d-3f0f-4f6c-bf34-add1dc14c3cb\",\n \"name\": \"Wait\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n -1240,\n 820\n ],\n \"webhookId\": \"f06eab66-30a7-48ad-90ee-cb3394eb2edb\",\n \"parameters\": {\n \"amount\": 2\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"64b5f755-a85e-4ae5-ad81-113c1ef9b64c\",\n \"name\": \"Download Screenshot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -1260,\n 360\n ],\n \"parameters\": {\n \"url\": \"={{ $json.screenshotUrl }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8f99ef1f-1cdc-4d80-b858-e9960a805dd4\",\n \"name\": \"Upload to Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n -1080,\n 360\n ],\n \"parameters\": {\n \"name\": \"={{ $('Merge').item.json.url.urlEncode() }}\",\n \"driveId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"My Drive\"\n },\n \"options\": {\n \"simplifyOutput\": true\n },\n \"folderId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1lAFxJPWcA_sOcjr3UUKKfFfoTwd4Stkh\",\n \"cachedResultUrl\": \"https://drive.google.com/drive/folders/1lAFxJPWcA_sOcjr3UUKKfFfoTwd4Stkh\",\n \"cachedResultName\": \"base_images\"\n }\n },\n \"credentials\": {\n \"googleDriveOAuth2Api\": {\n \"id\": \"yOwz41gMQclOadgu\",\n \"name\": \"Google Drive account\"\n }\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"5e253123-89ba-42d5-b743-60bfd1ebae5b\",\n \"name\": \"Update Base Image\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -900,\n 360\n ],\n \"parameters\": {\n \"columns\": {\n \"value\": {\n \"url\": \"={{ $('Merge').item.json.url }}\",\n \"base\": \"={{ $json.id }}\"\n },\n \"schema\": [\n {\n \"id\": \"service\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"service\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"url\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"required\": false,\n \"displayName\": \"url\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"base\",\n \"type\": \"string\",\n \"display\": true,\n \"required\": false,\n \"displayName\": \"base\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"url\"\n ]\n },\n \"options\": {},\n \"operation\": \"appendOrUpdate\",\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit?usp=drivesdk\",\n \"cachedResultName\": \"Visual Regression List\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"fa7339b7-b7dd-4ecd-8dc2-f42f6549adb6\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n -1440,\n 360\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"47845df9-a50e-429e-b81e-5eefd996d5c7\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n -560,\n 380\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"field\": \"weeks\",\n \"triggerAtDay\": [\n 1\n ],\n \"triggerAtHour\": 6\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"63492aa4-3535-4832-a9d0-0a949e46ec81\",\n \"name\": \"Get URLs with Missing Base Images\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -1980,\n 480\n ],\n \"parameters\": {\n \"options\": {},\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit?usp=drivesdk\",\n \"cachedResultName\": \"Visual Regression List\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"8907f3b9-0613-4057-8adb-fd5c4e25cf72\",\n \"name\": \"Run Webpage Screenshot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n -1420,\n 820\n ],\n \"parameters\": {\n \"url\": \"https://api.apify.com/v2/acts/apify~screenshot-url/run-sync-get-dataset-items\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"delay\\\": 0,\\n \\\"format\\\": \\\"png\\\",\\n \\\"proxy\\\": {\\n \\\"useApifyProxy\\\": true\\n },\\n \\\"scrollToBottom\\\": false,\\n \\\"urls\\\": [\\n {\\n \\\"url\\\": $json.url\\n }\\n ],\\n \\\"viewportWidth\\\": 1280,\\n \\\"waitUntil\\\": \\\"domcontentloaded\\\",\\n \\\"waitUntilNetworkIdleAfterScroll\\\": false\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"cO2w8RDNOZg8DRa8\",\n \"name\": \"Apify API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"3dc45b2d-4c4a-44d5-9b45-3e2144479603\",\n \"name\": \"Run Webpage Screenshot1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 273,\n 833\n ],\n \"parameters\": {\n \"url\": \"https://api.apify.com/v2/acts/apify~screenshot-url/run-sync-get-dataset-items\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={{\\n{\\n \\\"delay\\\": 0,\\n \\\"format\\\": \\\"png\\\",\\n \\\"proxy\\\": {\\n \\\"useApifyProxy\\\": true\\n },\\n \\\"scrollToBottom\\\": false,\\n \\\"urls\\\": [\\n {\\n \\\"url\\\": $json.url\\n }\\n ],\\n \\\"viewportWidth\\\": 1280,\\n \\\"waitUntil\\\": \\\"domcontentloaded\\\",\\n \\\"waitUntilNetworkIdleAfterScroll\\\": false\\n}\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"genericCredentialType\",\n \"genericAuthType\": \"httpQueryAuth\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"cO2w8RDNOZg8DRa8\",\n \"name\": \"Apify API\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"672d64fb-7782-427e-8779-953e51118fbc\",\n \"name\": \"Has Changes\",\n \"type\": \"n8n-nodes-base.filter\",\n \"position\": [\n 680,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"20b18a7e-bf98-4f39-baa9-4d965097526a\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"lengthGt\",\n \"rightType\": \"number\"\n },\n \"leftValue\": \"={{ $json.output }}\",\n \"rightValue\": 0\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"efa168ec-ff05-471b-869f-cee5a222594a\",\n \"name\": \"Combine Row and Result\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 500,\n 300\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={{\\n{\\n ...$('Get Webpages List').item.json,\\n output: $json.output\\n}\\n}}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"1fe901dc-f460-41b8-8042-0fcb0474092f\",\n \"name\": \"Wait1\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 1580,\n 900\n ],\n \"webhookId\": \"6bbf2e65-bed1-4efc-bb31-09d12c644dc5\",\n \"parameters\": {\n \"amount\": 1\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"7891f052-4073-4746-a04b-27c7c4fa1e63\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 860,\n 300\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ef2b2ddb-51f9-4576-bd99-9efa39be5163\",\n \"name\": \"Create Report\",\n \"type\": \"n8n-nodes-base.linear\",\n \"position\": [\n 1040,\n 300\n ],\n \"parameters\": {\n \"title\": \"=Visual Regression Report {{ $now.format('yyyy-MM-dd') }}\",\n \"teamId\": \"1c721608-321d-4132-ac32-6e92d04bb487\",\n \"additionalFields\": {\n \"description\": \"=Visual Regression Workflow picked up the following changes:\\n\\n{{\\n$json.data.map(row =>\\n`### ${row.url}\\n${row.output.map(issue =>\\n`* **${issue.description}** - expected \\\"${issue.previous_state}\\\" but got \\\"${issue.current_state}\\\"`\\n).join('\\\\n')}`\\n).join('\\\\n');\\n}}\"\n }\n },\n \"credentials\": {\n \"linearApi\": {\n \"id\": \"Nn0F7T9FtvRUtEbe\",\n \"name\": \"Linear account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"477b89f7-00ca-4001-a246-0887bcb553eb\",\n \"name\": \"When clicking ‘Test workflow’\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n -2180,\n 480\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"eb7f6310-5465-4638-b702-5ecbd98a0199\",\n \"name\": \"Get Webpages List\",\n \"type\": \"n8n-nodes-base.googleSheets\",\n \"position\": [\n -360,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"filtersUI\": {\n \"values\": [\n {\n \"lookupValue\": \"2\",\n \"lookupColumn\": \"=row_number\"\n }\n ]\n },\n \"sheetName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gid=0\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit#gid=0\",\n \"cachedResultName\": \"Sheet1\"\n },\n \"documentId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84\",\n \"cachedResultUrl\": \"https://docs.google.com/spreadsheets/d/1RbobwHCJiYKnic6T-VA3kPr-Grd4Y_ZSQXqy2st_T84/edit?usp=drivesdk\",\n \"cachedResultName\": \"Visual Regression List\"\n }\n },\n \"credentials\": {\n \"googleSheetsOAuth2Api\": {\n \"id\": \"XHvC7jIRR8A2TlUl\",\n \"name\": \"Google Sheets account\"\n }\n },\n \"typeVersion\": 4.5\n },\n {\n \"id\": \"6c0f7341-14c9-48c2-9447-edab0ad18df7\",\n \"name\": \"For Each Webpage...\",\n \"type\": \"n8n-nodes-base.splitInBatches\",\n \"position\": [\n -40,\n 440\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"62e13166-458d-4c63-8911-740f9ceaeb54\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -660,\n 160\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 561.2038065501644,\n \"height\": 408.0284015307624,\n \"content\": \"## 4. Trigger Visual Regression Test Run\\n[Read more about the Schedule Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.scheduletrigger/)\\n\\nOnce we've generated our base images to compare with in Part A, we can now run our Visual Regression Tests. These tests are intended to check for unexpected changes to a webpage by using some form of image detection. To trigger Part B, we'll start with a schedule trigger and pull a list of webpages to test from Google Sheets.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8d958f44-fd2c-49b4-adbd-d8a99b2614c8\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2340,\n 218.0216140230686\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 626.9985071319608,\n \"height\": 487.40071048786325,\n \"content\": \"## 1. Get List of Webpages to Generate Base Images\\n[Learn more about using Google Sheets](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googlesheets/)\\n\\nThis workflow is split into 2 parts: Part A will generate the \\\"base\\\" screenshots to compare new screenshots against. To capture these base screenshots, we'll use Google Sheets to hold our list of webpages and their screenshot references (we'll come on to that later).\\n\\nExample Sheet: https://docs.google.com/spreadsheets/d/e/2PACX-1vTXRZRi55dUbLAsWZboJqH5U-EK0ZRSse8pkqANAV4Ss70otpQ97zgT8YBd3dL4d2u2UC1TTx_o1o1R/pubhtml\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ee776b4d-4532-4c08-ac38-35d40afbd8ad\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1480,\n 580\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 653.369086691465,\n \"height\": 443.1120543367141,\n \"content\": \"## 2. Generate Webpage Screenshot via Apify\\n[Learn more about Apify.com](https://www.apify.com?fpr=414q6)\\n\\nTo generate a screenshot of the webpage, we'll need a third party service since this functionality is outside the scope of n8n. Feel free to pick whichever internal or external service works for you but I've had great experience using [Apify.com](https://www.apify.com?fpr=414q6) - a popular webscraping SaaS who offer a generous free plan and require very little configuration to get started.\\n\\nThe Apify \\\"actor\\\" (ie. a type of scraper) we'll be using is specifically designed to take webpage screenshots.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3d90e103-2829-4075-b3d4-5ba848af4843\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -1520,\n 160\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 808.188722669735,\n \"height\": 397.73072497123115,\n \"content\": \"## 3. Upload Screenshot to Google Drive\\n[Read more about using the Google Drive node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.googledrive/)\\n\\nOnce we have our screenshots, we'll download them from Apify and upload them to our Google Drive for safe keeping. After uploading, we'll capture the new Google Drive IDs for the images into our Google Sheet, this will allow us to reference them again when we perform the visual regression testing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e47d14ec-ad78-42c8-a294-301dcd581a67\",\n \"name\": \"Download New Screenshot\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 453,\n 833\n ],\n \"parameters\": {\n \"url\": \"={{ $json.screenshotUrl }}\",\n \"options\": {\n \"response\": {\n \"response\": {\n \"responseFormat\": \"file\",\n \"outputPropertyName\": \"data_2\"\n }\n }\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8ca118bc-3d19-48ac-9d9c-0892993da736\",\n \"name\": \"Combine Screenshots\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 660,\n 660\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"03359cbb-d7af-4118-a32a-3fe24062dc9f\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -660,\n 20\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 394.03359370567625,\n \"height\": 111.52173490405977,\n \"content\": \"### Part B. Run Visual Regression Test\\nIn this part of the workflow, we'll retrieve our list of webpages to test with our AI vision model. This part can be run as many times as required.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a78c0f92-aa61-483b-95bf-dd60958f182d\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -2920,\n 220\n ],\n \"parameters\": {\n \"width\": 553.2963720930223,\n \"height\": 473.4987906976746,\n \"content\": \"## Try It Out!\\n\\n### This workflow implements an approach to Visual Regression Testing - a means to test websites for defects - using AI Vision Models.\\n\\nThis workflow uses a Google Sheet to track a list of webpages to test and is split into 2 parts; Part A generates the base screenshots of the list and Part B runs the visual regression testing.\\n\\nThe example spreadsheet can be found here: https://docs.google.com/spreadsheets/d/e/2PACX-1vTXRZRi55dUbLAsWZboJqH5U-EK0ZRSse8pkqANAV4Ss70otpQ97zgT8YBd3dL4d2u2UC1TTx_o1o1R/pubhtml\\n\\n**[Apify.com](https://www.apify.com?fpr=414q6)** is the screenshot generator of choice and a free account with $5 in credit is available via this [link](https://www.apify.com?fpr=414q6).\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a0b257e5-99f8-409a-bc67-2468db377d6c\",\n \"name\": \"Visual Regression Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 1120,\n 740\n ],\n \"parameters\": {\n \"text\": \"Identify changes between the base image and test image.\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=You help with visual regression testing for websites. Identify changes to text content, images, colors, position and layouts of the elements in the screenshots. Ignore text styling or casing changes.\\nThe first image will be the base image and the second image will be the test. Note all changes to the test image which differ from the base. If there are no changes, it is okay to return an empty array.\"\n },\n {\n \"type\": \"HumanMessagePromptTemplate\",\n \"messageType\": \"imageBinary\",\n \"binaryImageDataKey\": \"data_1\"\n },\n {\n \"type\": \"HumanMessagePromptTemplate\",\n \"messageType\": \"imageBinary\",\n \"binaryImageDataKey\": \"data_2\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.4\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Download Screenshot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Webpage...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Create Report\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Base Image\": {\n \"main\": [\n [\n {\n \"node\": \"Combine Screenshots\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Has Changes\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Loop Over Items\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ],\n [\n {\n \"node\": \"Run Webpage Screenshot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload to Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Update Base Image\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Get Webpages List\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Webpages List\": {\n \"main\": [\n [\n {\n \"node\": \"For Each Webpage...\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine Screenshots\": {\n \"main\": [\n [\n {\n \"node\": \"Visual Regression Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Download Screenshot\": {\n \"main\": [\n [\n {\n \"node\": \"Upload to Drive\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"For Each Webpage...\": {\n \"main\": [\n [\n {\n \"node\": \"Combine Row and Result\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Base Image\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Run Webpage Screenshot1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine Row and Result\": {\n \"main\": [\n [\n {\n \"node\": \"Has Changes\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Run Webpage Screenshot\": {\n \"main\": [\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Download New Screenshot\": {\n \"main\": [\n [\n {\n \"node\": \"Combine Screenshots\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n },\n \"Run Webpage Screenshot1\": {\n \"main\": [\n [\n {\n \"node\": \"Download New Screenshot\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Visual Regression Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Google Gemini Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Visual Regression Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Visual Regression Agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get URLs with Missing Base Images\": {\n \"main\": [\n [\n {\n \"node\": \"Loop Over Items\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking ‘Test workflow’\": {\n \"main\": [\n [\n {\n \"node\": \"Get URLs with Missing Base Images\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Visual Regression Testing with Apify and AI Vision Model", "node_count": 34, "category": "General Automation"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi to ai agent for project management and meetings with airtable and fireflies", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 18\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.splitOut, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.executeWorkflowTrigger, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.gmailTool, n8n-nodes-base.googleCalendarTool, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.executeWorkflowTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"38972c5c-09f4-4120-a468-731e720914e1\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 900,\n -240\n ],\n \"parameters\": {\n \"text\": \"=Title: {{ $json.data.transcript.title }}\\n\\nParticipants: {{ $json.data.transcript.participants }}\\n\\nTranscript: {{ JSON.stringify($json.data.transcript.sentences) }}\\n\\nBullet gist:{{ $json.data.transcript.summary.bullet_gist }}\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"systemMessage\": \"=You get my calls' transcripts from Firefiles.\\nThere can be meetings about projects. You can understand if it's about a project if meeting's title contains \\\"project\\\". If so - you need to:\\n1. Analyze transcript, use tool \\\"Create Tasks\\\" to create tasks for me in my AirTable base.\\n2. You need to use tool \\\"Notify Client About Tasks\\\" to nofity client about his tasks.\\n3. If transcript contains info there's a call needed - you'll use \\\"Create Event\\\" tool to create call on Google Meet\\nCurrent date: {{ $now }}\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"db5c1bfa-b979-4749-84c8-8cd7d777748c\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 880,\n 40\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"9RivS2BmSh1DDBFm\",\n \"name\": \"OpenAi account 3\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"334873ba-ec5c-42b3-b8d0-def79d07c0aa\",\n \"name\": \"Create Tasks\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1040,\n 40\n ],\n \"parameters\": {\n \"name\": \"create_task\",\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"Jo0BiizccacaChkH\",\n \"cachedResultName\": \"Firefiles AI Agent\"\n },\n \"description\": \"=Use this tool to create a task. \\nFor task creation use only action items for me [YOUR NAME HERE], don't use action items for other participants.\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"items\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"description\\\": \\\"An array of tasks\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"name\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"The name of the task\\\"\\n },\\n \\\"description\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"A detailed description of the task\\\"\\n },\\n \\\"due_date\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Due Date\\\"\\n },\\n \\\"priority\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Priority. . Please capitalize first letter\\\"\\n },\\n \\\"project_name\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Name of the project. Word 'Project' shouldn't be included\\\"\\n }\\n },\\n \\\"required\\\": [\\n \\\"name\\\",\\n \\\"description\\\",\\n \\\"due_date\\\",\\n \\\"priority\\\"\\n ],\\n \\\"additionalProperties\\\": false\\n }\\n }\\n },\\n \\\"required\\\": [\\n \\\"items\\\"\\n ],\\n \\\"additionalProperties\\\": false\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"7fd03a80-71e9-4c47-9870-7a3ad4916149\",\n \"name\": \"Notify Client About Tasks\",\n \"type\": \"n8n-nodes-base.gmailTool\",\n \"position\": [\n 1180,\n 40\n ],\n \"webhookId\": \"519d9406-10ef-4ae1-a747-d278002cac9e\",\n \"parameters\": {\n \"sendTo\": \"={{ $fromAI(\\\"participant_email\\\",\\\"participant email \\\",\\\"string\\\") }}\",\n \"message\": \"=Summary:\\n{{ $json.data.transcript.summary.bullet_gist }}\\n\\nAction Items:\\n{{ $fromAI(\\\"participant_action_items\\\",\\\"participant action items \\\",\\\"string\\\") }}\",\n \"options\": {\n \"appendAttribution\": false\n },\n \"subject\": \"Meeting Summary\",\n \"emailType\": \"text\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"=Use the tool to notify a participant of the meeting with meeting summary and his tasks.\\nIMPORTANT: \\n1. Please notify participants except for me. My email: [YOUR EMAIL HERE]\\n2. When working with tasks - please send only the participant's tasks.\"\n },\n \"credentials\": {\n \"gmailOAuth2\": {\n \"id\": \"LhdnHxP8WcSDEHw3\",\n \"name\": \"Gmail account 3\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"094a0e52-a4fa-4078-9b96-80568acb9c51\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 460,\n 420\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e59e5a29-4509-45cc-9130-181ea432553c\",\n \"name\": \"Split Out\",\n \"type\": \"n8n-nodes-base.splitOut\",\n \"position\": [\n 680,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"fieldToSplitOut\": \"query.items\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"dc664650-f74e-4574-95a0-dd4a9bf181a1\",\n \"name\": \"Create Task\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 900,\n 420\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appndgSF4faN4jPXi\",\n \"cachedResultUrl\": \"https://airtable.com/appndgSF4faN4jPXi\",\n \"cachedResultName\": \"Philipp's Base\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblaCSndQsSF3gq7Z\",\n \"cachedResultUrl\": \"https://airtable.com/appndgSF4faN4jPXi/tblaCSndQsSF3gq7Z\",\n \"cachedResultName\": \"Tasks\"\n },\n \"columns\": {\n \"value\": {\n \"Name\": \"={{ $json.name }}\",\n \"Project\": \"={{ [$json.project_name] }}\",\n \"Due Date\": \"={{ $json.due_date }}\",\n \"Priority\": \"={{ $json.priority }}\",\n \"Description\": \"={{ $json.description }}\"\n },\n \"schema\": [\n {\n \"id\": \"Name\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Name\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Description\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Description\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Priority\",\n \"type\": \"options\",\n \"display\": true,\n \"options\": [\n {\n \"name\": \"Low\",\n \"value\": \"Low\"\n },\n {\n \"name\": \"Medium\",\n \"value\": \"Medium\"\n },\n {\n \"name\": \"Urgent\",\n \"value\": \"Urgent\"\n },\n {\n \"name\": \"low\",\n \"value\": \"low\"\n },\n {\n \"name\": \"medium\",\n \"value\": \"medium\"\n },\n {\n \"name\": \"urgent\",\n \"value\": \"urgent\"\n }\n ],\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Priority\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Due Date\",\n \"type\": \"dateTime\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Due Date\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Project\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Project\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {\n \"typecast\": true\n },\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"XT7hvl1w201jtBhx\",\n \"name\": \"Philipp Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"6d6f9094-b0b3-495e-ade8-d80c03e727b0\",\n \"name\": \"Create Event\",\n \"type\": \"n8n-nodes-base.googleCalendarTool\",\n \"position\": [\n 1340,\n 40\n ],\n \"parameters\": {\n \"end\": \"={{ $fromAI(\\\"end_date_time\\\",\\\"Date and time of meeting end\\\",\\\"string\\\") }}\",\n \"start\": \"={{ $fromAI(\\\"start_date_time\\\",\\\"Date and time of meeting start\\\",\\\"string\\\") }}\",\n \"calendar\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"philipp@lowcoding.dev\",\n \"cachedResultName\": \"philipp@lowcoding.dev\"\n },\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"=Use tool to create Google Calendar Event. Use this tool only when transcript contains information that call should be scheduled.\",\n \"additionalFields\": {\n \"summary\": \"={{ $fromAI(\\\"meeting_name\\\",\\\"Meeting name\\\",\\\"string\\\") }}\",\n \"attendees\": [\n \"={{ $fromAI(\\\"email\\\",\\\"client email\\\",\\\"string\\\") }}\"\n ],\n \"conferenceDataUi\": {\n \"conferenceDataValues\": {\n \"conferenceSolution\": \"hangoutsMeet\"\n }\n }\n }\n },\n \"credentials\": {\n \"googleCalendarOAuth2Api\": {\n \"id\": \"E5Ufn31vrZLKzh4n\",\n \"name\": \"Google Calendar account\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"2406fc01-fd28-403c-9378-473e8748e0dd\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 480,\n -240\n ],\n \"webhookId\": \"df852a9f-5ea3-43f2-bd49-d045aba5e9c9\",\n \"parameters\": {\n \"path\": \"df852a9f-5ea3-43f2-bd49-d045aba5e9c9\",\n \"options\": {},\n \"httpMethod\": \"POST\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"fe28fa98-4946-4379-970e-6df1a79e2a1e\",\n \"name\": \"Get Meeting Content\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 700,\n -240\n ],\n \"parameters\": {\n \"url\": \"https://api.fireflies.ai/graphql\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"query\\\": \\\"query Transcript($transcriptId: String!) { transcript(id: $transcriptId) { title participants speakers { id name } sentences { speaker_name text } summary { bullet_gist } } }\\\",\\n \\\"variables\\\": {\\n \\\"transcriptId\\\": \\\"{{ $json.meetingId }}\\\"\\n }\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"Authorization\",\n \"value\": \"Bearer [YOUR API KEY HERE]\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5eadd00a-9095-4bf3-80ed-e7bc5c49390d\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 620,\n -360\n ],\n \"parameters\": {\n \"color\": 4,\n \"height\": 80,\n \"content\": \"### Replace API key for Fireflies\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"93cee18c-2215-4a63-af7b-ddf45729f5e4\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1180,\n 200\n ],\n \"parameters\": {\n \"color\": 4,\n \"height\": 80,\n \"content\": \"### Replace connections for Airtable and Google\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d792723-4507-486f-9dc7-62bf1b927edd\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n 340\n ],\n \"parameters\": {\n \"width\": 820,\n \"height\": 280,\n \"content\": \"### Scenario 2 - Create Tasks tool\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c5520210-86db-4639-9f8c-ac9055407232\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 380,\n -460\n ],\n \"parameters\": {\n \"width\": 1100,\n \"height\": 760,\n \"content\": \"### Scenario 1 - AI agent\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"48d47e44-b7bf-49b3-814b-6969ce97108d\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 800,\n 180\n ],\n \"parameters\": {\n \"color\": 4,\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afe4bffa-8937-4c31-8513-0acc6b8858ce\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -360,\n 60\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 280,\n \"height\": 566,\n \"content\": \"### Set up steps\\n\\n#### Preparation\\n1. **Create Accounts**:\\n - [N8N](https://n8n.partnerlinks.io/2hr10zpkki6a): For workflow automation.\\n - [Airtable](https://airtable.com/): For database hosting and management.\\n - [Fireflies](https://fireflies.ai/): For recording meetings.\\n\\n#### N8N Workflow\\n\\n1. **Configure the Webhook**: \\n - Set up a webhook to capture meeting completion events and integrate it with Fireflies.\\n\\n2. **Retrieve Meeting Content**: \\n - Use GraphQL API requests to extract meeting details and transcripts, ensuring appropriate authentication through Bearer tokens.\\n\\n3. **AI Processing Setup**: \\n - Define system messages for AI tasks and configure connections to the AI chat model (e.g., OpenAI's GPT) to process transcripts.\\n\\n4. **Task Creation Logic**: \\n - Create structured tasks based on AI output, ensuring necessary details are captured and records are created in Airtable.\\n\\n5. **Client Notifications**: \\n - Use an email node to notify clients about their tasks, ensuring communications are client-specific.\\n\\n6. **Scheduling Follow-Up Calls**: \\n - Set up Google Calendar events if follow-up meetings are required, populating details from the original meeting context.\\n\\n7. **Final Testing**: \\n - Conduct tests to ensure each part of the workflow is functional and seamless, making adjustments as needed based on feedback.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cbb81fa7-4a97-4a7e-82ce-05250b2c82cf\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -360,\n -460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 636.2128494576581,\n \"height\": 497.1532689930921,\n \"content\": \"\\n## AI Agent for project management and meetings with Airtable and Fireflies\\n**Made by [Philipp Bekher](https://www.linkedin.com/in/philipp-bekher-5437171a4/) from community [5minAI](https://www.skool.com/5minai-2861)**\\n\\nManaging action items from meetings can often lead to missed tasks and poor follow-up. This automation alleviates that issue by automatically generating tasks from meeting transcripts, keeping everyone informed about their responsibilities and streamlining communication.\\n\\nThe workflow leverages n8n to create a Smart Agent that listens for completed meeting transcripts, processes them using AI, and generates tasks in Airtable. Key functionalities include:\\n- Capturing completed meeting events through webhooks.\\n- Extracting relevant meeting details such as transcripts and participants using API calls.\\n- Generating structured tasks from meeting discussions and sending notifications to clients.\\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6d367721-875d-4d43-bd55-9801796a0e9f\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -60,\n 60\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 330.5152611046425,\n \"height\": 239.5888196628349,\n \"content\": \"### ... or watch set up video [10 min]\\n[](https://www.youtube.com/watch?v=0TyX7G00x3A)\\n\"\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Get Meeting Content\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"AI Agent\": {\n \"main\": [\n []\n ]\n },\n \"Split Out\": {\n \"main\": [\n [\n {\n \"node\": \"Create Task\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Event\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create Tasks\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Meeting Content\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Split Out\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Notify Client About Tasks\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "AI Agent for project management and meetings with Airtable and Fireflies", "node_count": 18, "category": "General Automation"}} {"prompt": "How would you build: Ai Agent To Chat With Airtable And Analyze Data?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing\n\n**Key Components**:\n- Total Nodes: 41\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.executeWorkflowTrigger, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.if, @n8n/n8n-nodes-langchain.toolCode, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"799d2e0c-29b9-494c-b11a-d79c7ed4a06d\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 920,\n 480\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6254ef4e-9699-404e-96a4-569326cce48d\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1160,\n 200\n ],\n \"parameters\": {\n \"text\": \"={{ $('When chat message received').item.json.chatInput }}\",\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"maxIterations\": 10,\n \"systemMessage\": \"You are Airtable assistant. \\nYou need to process user's requests and run relevant tools for that. \\n\\nPlan and execute in right order runs of tools to get data for user's request.\\n\\nFeel free to ask questions before do actions - especially if you noticed some inconcistency in user requests that might be error/misspelling. \\n\\nIMPORTANT Always check right table and base ids before doing queries.\\n\\nIMPORTANT Use Code function to do aggregation functions that requires math like - count, sum, average and etc. Aggegation function could be recognized by words like \\\"how many\\\",\\\"count\\\",\\\"what number\\\" and etc.\\nUse Code function to generate graph and images.\\n\\nIMPORTANT If search with filter failed - try to fetch records without filter\\n\\nIMPORTANT Ask yourself before answering - am I did everything is possible? Is the answer is right? Is the answer related to user request?\\n\\nIMPORTANT Always return in response name of Base and Table where records from. \"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"227a5427-c270-47dc-bc08-4bb321314926\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n 620\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"### Replace Mapbox public key - in code\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"667751f4-9815-45b7-8dd2-9a0821a7a5a7\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 840,\n 640\n ],\n \"parameters\": {\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a9cdec25-4167-44a9-9d3c-fb04aac7bb32\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1080,\n 480\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('When chat message received').item.json.sessionId }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"dfab4eb2-ba30-4756-8a52-5d73de9fba53\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 940,\n 200\n ],\n \"webhookId\": \"abf9ab75-eaca-4b91-b3ba-c0f83d3daba4\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"259e3d13-ca92-4756-af69-34065dbe08f3\",\n \"name\": \"Execute Workflow Trigger\",\n \"type\": \"n8n-nodes-base.executeWorkflowTrigger\",\n \"position\": [\n 760,\n 1340\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"5b80c2c8-7649-40f2-b9be-d090d8bd5ae9\",\n \"name\": \"Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2740,\n 1360\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"cfdbe2f5-921e-496d-87bd-9c57fdc22a7a\",\n \"name\": \"response\",\n \"type\": \"object\",\n \"value\": \"={{$json}}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"761f5593-f85c-44cd-abbd-aeac78bc31f8\",\n \"name\": \"Switch\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 980,\n 1320\n ],\n \"parameters\": {\n \"rules\": {\n \"values\": [\n {\n \"outputKey\": \"get_bases\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"get_bases\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"get_base_tables_schema\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"26a3ffe8-c8a6-4564-8d18-5494a8059372\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"get_base_tables_schema\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"search\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"0f51cc26-2e42-42e1-a5c2-cb1d2e384962\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"search\"\n }\n ]\n },\n \"renameOutput\": true\n },\n {\n \"outputKey\": \"code\",\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"51031140-5ceb-48aa-9f33-d314131a9653\",\n \"operator\": {\n \"name\": \"filter.operator.equals\",\n \"type\": \"string\",\n \"operation\": \"equals\"\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.command }}\",\n \"rightValue\": \"code\"\n }\n ]\n },\n \"renameOutput\": true\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 3.2\n },\n {\n \"id\": \"d6252c5b-a820-4ded-b59b-ab2fb2e277c3\",\n \"name\": \"Aggregate\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 1780,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1442ca2e-1793-4029-b398-61d6e6f1c346\",\n \"name\": \"Aggregate1\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 1780,\n 1140\n ],\n \"parameters\": {\n \"options\": {},\n \"aggregate\": \"aggregateAllItemData\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a81b4dcc-c999-43be-a0ea-e37f3c7c9f9d\",\n \"name\": \"Merge\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 1960,\n 1360\n ],\n \"parameters\": {},\n \"typeVersion\": 3\n },\n {\n \"id\": \"8029213c-fd8a-4673-a2a0-11b90fd23971\",\n \"name\": \"Aggregate2\",\n \"type\": \"n8n-nodes-base.aggregate\",\n \"position\": [\n 2260,\n 1360\n ],\n \"parameters\": {\n \"options\": {\n \"mergeLists\": true\n },\n \"fieldsToAggregate\": {\n \"fieldToAggregate\": [\n {\n \"fieldToAggregate\": \"records\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f5f99038-9d19-49ed-9f50-3cd0270bf9ce\",\n \"name\": \"If1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2120,\n 1720\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"fcb24127-53f9-4498-b0fd-463bd4966ac9\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notExists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.data[0].attachments[0].file_id }}\",\n \"rightValue\": \"\"\n },\n {\n \"id\": \"016ecba7-f6af-4881-a7d6-780dcb43223c\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notExists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.data[0].content.find(x=>x.type==\\\"image_file\\\").image_file.file_id }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"abc7ddae-9ca9-4cf6-89a4-a63da8c1e036\",\n \"name\": \"Response1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2760,\n 1720\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"cfdbe2f5-921e-496d-87bd-9c57fdc22a7a\",\n \"name\": \"response\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data.url.replace('org/','org/dl/') }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6f40d50f-70e8-4b64-aa42-ae9262fb8381\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2080,\n 1520\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 80,\n \"content\": \"### Replace Airtable connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"de99a161-5ab3-4b54-bdf7-340d74aa5a93\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1740,\n 1600\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c1e030fd-4449-43ca-a4e7-a863f9487614\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1540,\n 860\n ],\n \"parameters\": {\n \"width\": 160,\n \"height\": 80,\n \"content\": \"### Replace Airtable connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4375d3a4-0b3b-4de6-9db7-42af4148af2b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1360,\n 1900\n ],\n \"parameters\": {\n \"width\": 1180,\n \"height\": 80,\n \"content\": \"### Replace OpenAI connection\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"138f813c-d0b0-4a2b-8833-69f1decc9253\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n 0\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 1320,\n \"height\": 780,\n \"content\": \"### Workflow 1\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ca87c7b7-ab34-4ff9-8d74-cef90e6f1e5e\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 700,\n 840\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 2240,\n \"height\": 1180,\n \"content\": \"### Workflow 2\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a5cdf41a-f2ca-4203-94ce-45795395ea92\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 300,\n 680\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 330.5152611046425,\n \"height\": 239.5888196628349,\n \"content\": \"### ... or watch set up video [20 min]\\n[](https://youtu.be/SotqsAZEhdc)\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"697889c4-15e7-4099-89b8-f4e2e3a3abac\",\n \"name\": \"Sticky Note10\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 0\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 636,\n \"height\": 657,\n \"content\": \"\\n## AI Agent to chat with Airtable and analyze data\\n**Made by [Mark Shcherbakov](https://www.linkedin.com/in/marklowcoding/) from community [5minAI](https://www.skool.com/5minai)**\\n\\nEngaging with data stored in Airtable often requires manual navigation and time-consuming searches. This workflow allows users to interact conversationally with their datasets, retrieving essential information quickly while minimizing the need for complex queries.\\n\\nThis workflow enables an AI agent to facilitate chat interactions over Airtable data. The agent can:\\n- Retrieve order records, product details, and other relevant data.\\n- Execute mathematical functions to analyze data such as calculating averages and totals.\\n- Optionally generate maps for geographic data visualization.\\n\\n1. **Dynamic Data Retrieval**: The agent uses user prompts to dynamically query the dataset.\\n2. **Memory Management**: It retains context during conversations, allowing users to engage in a more natural dialogue.\\n3. **Search and Filter Capabilities**: Users can perform tailored searches with specific parameters or filters to refine their results.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"a9f7c4fd-c07a-4c7c-875d-74b27e3f1fbf\",\n \"name\": \"Sticky Note11\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 0,\n 680\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 280,\n \"height\": 346,\n \"content\": \"### Set up steps\\n\\n1. **Separate workflows**:\\n\\t- Create additional workflow and move there Workflow 2.\\n\\n2. **Replace credentials**:\\n\\t- Replace connections and credentials in all nodes.\\n\\n3. **Start chat**:\\n\\t- Ask questions and don't forget to mention required base name.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0c86638f-7220-415d-a920-13761da925a6\",\n \"name\": \"Search records\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1500,\n 480\n ],\n \"parameters\": {\n \"name\": \"search\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"search\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Search records in specific base and table.\\n\\n- Use Filter (optional) rules for filtering - describe what logic you want to see in filter including field names. \\nIMPORTANT - specify all related fields with types for Filter query with right names based on schema. Tool doesn't know schema and type of fields.\\n\\n- Use Limit (optional) to get more/less records - default = All records. IMPORTANT use default value only when user ask to get all records for analysis.\\n\\n- Always try to limit list of fields based on user request or in case of number of fields > 30. IMPORTANT Use fields names only.\\n \\n- Sort by one/multiple fields if needed - order in array is order of level for sorting.\\n\\nInput example:\\nbase_id - appHwXgLVrBujox4J\\ntable_id - tblrGzFneREP5Dktl\\nlimit - 100\\nsort (optional) - [{\\\"field\\\":\\\"Name\\\",\\\"direction\\\":\\\"asc\\\"}]\\nfilter_desc (optional) - field Name (string) should be equal/contains Mark\\nfields (optional) - [\\\"Name\\\",\\\"Email\\\"]\\n\\nOutput example:\\nRecord 1 - value 1, value 2\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"base_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"ID of the base to search in\\\"\\n },\\n \\\"table_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"ID of the table to search in\\\"\\n },\\n \\\"limit\\\": {\\n \\\"type\\\": \\\"number\\\",\\n \\\"description\\\": \\\"Number of records to retrieve (default is all records)\\\"\\n },\\n \\\"filter_desc\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Text description of the filter logic\\\"\\n },\\n \\\"sort\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"field\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"direction\\\": { \\\"type\\\": \\\"string\\\", \\\"enum\\\": [\\\"asc\\\", \\\"desc\\\"] }\\n },\\n \\\"required\\\": [\\\"field\\\", \\\"direction\\\"]\\n },\\n \\\"description\\\": \\\"Array of sorting rules for the query\\\"\\n },\\n \\\"fields\\\": {\\n \\\"type\\\": \\\"array\\\",\\n \\\"items\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"description\\\": \\\"List of fields to retrieve\\\"\\n }\\n },\\n \\\"required\\\": [\\\"base_id\\\", \\\"table_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"7ba1d6ac-f1a2-4b8d-a9a5-ce92eaa4e7fa\",\n \"name\": \"Process data with code\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1640,\n 480\n ],\n \"parameters\": {\n \"name\": \"code\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"code\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Process data with code. Use for math functions and image (graphs) generation. \\nIMPORTANT Provide raw data only, don't preprocess or use math functions by yourself\\n\\nInput example:\\nrequest - Count average\\ndata - 1,2,3\\n\\nOutput example:\\nAverage is 2\\nImage file\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"request\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Description of the operation to perform.\\\"\\n },\\n \\\"data\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"Stringified data - JSON, strings, arrays and etc.\\\"\\n }\\n },\\n \\\"required\\\": [\\\"request\\\", \\\"data\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"3754175c-6f74-4750-b2e7-00e2bd3caf6d\",\n \"name\": \"Create map image\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolCode\",\n \"position\": [\n 1800,\n 480\n ],\n \"parameters\": {\n \"name\": \"create_map\",\n \"jsCode\": \"// Example: convert the incoming query to uppercase and return it\\n\\nreturn `https://api.mapbox.com/styles/v1/mapbox/streets-v12/static/${query.markers}/-96.9749,41.8219,3.31,0/800x500?before_layer=admin-0-boundary&access_token= `;\",\n \"schemaType\": \"manual\",\n \"description\": \"Create link with image for map graph.\\nUse addresses' longitude and latitude to create input data.\\n\\nInput Example:\\npin-s+555555(-74.006,40.7128),pin-s+555555(-118.2437,34.0522)\\n\\nOutput Example:\\nImage link.\",\n \"inputSchema\": \"{\\n\\\"type\\\": \\\"object\\\",\\n\\\"properties\\\": {\\n\\t\\\"markers\\\": {\\n\\t\\t\\\"type\\\": \\\"string\\\",\\n\\t\\t\\\"description\\\": \\\"List of markers with longitude and latitude data separated by comma. Keep the same color 555555|Example: pin-s+555555(-74.006,40.7128),pin-s+555555(-118.2437,34.0522)\\\"\\n\\t\\t}\\n\\t}\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"135078ea-6a3f-4aee-9f60-c6d5832e446e\",\n \"name\": \"Get list of bases\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1220,\n 480\n ],\n \"parameters\": {\n \"name\": \"get_bases\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"get_bases\"\n }\n ]\n },\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Fetches the list of available bases.\\n\\nOutput:\\n- List of bases with their IDs and names.\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"cd4781d0-f873-4aea-951c-6809358c1db6\",\n \"name\": \"Get base schema\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1360,\n 480\n ],\n \"parameters\": {\n \"name\": \"get_base_tables_schema\",\n \"fields\": {\n \"values\": [\n {\n \"name\": \"command\",\n \"stringValue\": \"get_base_tables_schema\"\n }\n ]\n },\n \"schemaType\": \"manual\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"zVd0G4m33K6KrBvV\",\n \"cachedResultName\": \"Airtable Agent Tools\"\n },\n \"description\": \"Fetches the schema of tables in a specific base by id.\\n\\nInput:\\nbase_id: appHwXgLVrBujox4J\\n\\nOutput:\\ntable 1: field 1 - type string, fields 2 - type number\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"base_id\\\": {\\n \\\"type\\\": \\\"string\\\",\\n \\\"description\\\": \\\"ID of the base to retrieve the schema for. Format - appHwXgLVrBujox4J\\\"\\n }\\n },\\n \\\"required\\\": [\\\"base_id\\\"]\\n}\",\n \"specifyInputSchema\": true\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"45c8b2eb-f43a-48b1-a270-9caeda9da0b0\",\n \"name\": \"Get Bases\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1580,\n 980\n ],\n \"parameters\": {\n \"options\": {},\n \"resource\": \"base\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"xZwG0YpqsxpWrzVM\",\n \"name\": \"Mark Airtable account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"bb8036bc-1c23-461b-bd03-2461e31c6cb6\",\n \"name\": \"Get Base/Tables schema\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1580,\n 1140\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"id\",\n \"value\": \"={{ $('Execute Workflow Trigger').item.json.query.base_id }}\"\n },\n \"resource\": \"base\",\n \"operation\": \"getSchema\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"xZwG0YpqsxpWrzVM\",\n \"name\": \"Mark Airtable account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"dab309d9-3629-44ba-9f0a-ede55f96488f\",\n \"name\": \"If filter description exists\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1340,\n 1360\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"fcb24127-53f9-4498-b0fd-463bd4966ac9\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notExists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $('Execute Workflow Trigger').item.json.query.filter_desc }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"4cc416aa-50bd-4b60-ae51-887c4ee97c88\",\n \"name\": \"Airtable - Search records\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 2100,\n 1360\n ],\n \"parameters\": {\n \"url\": \"=https://api.airtable.com/v0/{{ $('Execute Workflow Trigger').item.json.query.base_id }}/{{ $('Execute Workflow Trigger').item.json.query.table_id }}/listRecords\",\n \"method\": \"POST\",\n \"options\": {\n \"pagination\": {\n \"pagination\": {\n \"parameters\": {\n \"parameters\": [\n {\n \"name\": \"offset\",\n \"type\": \"body\",\n \"value\": \"={{ $response.body.offset}}\"\n }\n ]\n },\n \"completeExpression\": \"={{ $response.body.offset==undefined}}\",\n \"paginationCompleteWhen\": \"other\"\n }\n }\n },\n \"jsonBody\": \"={{ \\n Object.fromEntries(\\n Object.entries({\\n sort: $('Execute Workflow Trigger').item.json.query.sort,\\n limit: $('Execute Workflow Trigger').item.json.query.limit,\\nfields: $('Execute Workflow Trigger').item.json.query.fields,\\nfilterByFormula: $('Merge').item.json.choices == undefined ? undefined : JSON.parse($json.choices[0].message.content).filter\\n }).filter(([key, value]) => value !== undefined)\\n )\\n}}\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"airtableTokenApi\"\n },\n \"credentials\": {\n \"httpQueryAuth\": {\n \"id\": \"1DXeuNaLSixqGPaU\",\n \"name\": \"Query Auth account Youtube\"\n },\n \"airtableTokenApi\": {\n \"id\": \"xZwG0YpqsxpWrzVM\",\n \"name\": \"Mark Airtable account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9dc71d31-8499-4b69-b87c-898217447d50\",\n \"name\": \"OpenAI - Generate search filter\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 1420\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/chat/completions\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"model\\\": \\\"gpt-4o-mini\\\",\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"system\\\",\\n \\\"content\\\": {{ JSON.stringify($('Set schema and prompt').item.json.prompt) }}\\n },\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"{{ $('Execute Workflow Trigger').item.json.query.filter_desc }}\\\"\\n }],\\n \\\"response_format\\\":{ \\\"type\\\": \\\"json_schema\\\", \\\"json_schema\\\": {{ $('Set schema and prompt').item.json.schema }}\\n\\n }\\n }\",\n \"sendBody\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"16e4ea97-ea73-45a0-aa88-0f9a2969a6a3\",\n \"name\": \"Set schema and prompt\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1560,\n 1420\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"dc09a5b4-ff6a-4cee-b87e-35de7336ac05\",\n \"name\": \"prompt\",\n \"type\": \"string\",\n \"value\": \"=Analyse user request for Airtable filtration. User filter rules to build right formula. Think smart about filter (e.g. instead of search where Name equal to value - search where name contains lowercase value)\\nIMPORTANT Check examples and best practices before building formula. \\n\\nIMPORTANT best practices:\\n\\nSEARCH(LOWER('example'), LOWER({Field})) ensures both the search term and field are compared in lowercase for consistent case-insensitive matching\\n\\nIMPORTANT Examples:\\n\\n- AND(SEARCH('urgent', {Notes}), {Priority} > 3) fetch records where “Notes” contain “urgent” and “Priority” is greater than 3\\n- AND({Status} = 'Pending', IS_BEFORE({Due Date}, TODAY())) fetch records where “Status” is “Pending” and “Due Date” is before today\\n- OR(SEARCH('error', {Logs}), SEARCH('warning', {Logs})) fetch records where “Logs” contain “error” or “warning”\\n- AND(LEN({Description}) > 10, {Price} > 50) fetch records where “Description” is longer than 10 characters and “Price” is greater than 50\\n- RECORD_ID() = 'rec12345' fetch a specific record by its ID\\n- SEARCH('rec67890', ARRAYJOIN({Linked Records}, ',')) fetch records linked to a specific record ID rec67890\\n- AND(SEARCH('rec12345', ARRAYJOIN({Linked Records}, ',')), {Status} = 'Active') fetch records where “Linked Records” contain rec12345 and “Status” is “Active”\\n\\nFormula rules:\\nOperators - =,!=,>,<,>=,<= \\n- AND(condition1, condition2, ...) logical AND\\n- OR(condition1, condition2, ...) logical OR\\n- NOT(condition) logical NOT\\n- SEARCH('substring', {Field}) finds position of substring, case-insensitive\\n- FIND('substring', {Field}) finds position of substring, case-sensitive\\n- IS_BEFORE({Date}, 'YYYY-MM-DD') checks if date is before\\n- IS_AFTER({Date}, 'YYYY-MM-DD') checks if date is after\\n- IS_SAME({Date1}, {Date2}, 'unit') checks if dates are the same by unit\\n- RECORD_ID() = 'recXXXXXX' filters by record ID\\n- {Field} = '' field is blank\\n- {Field} != '' field is not blank\\n- ARRAYJOIN({Linked Field}, ',') joins linked records into a string\\n- LOWER({Field}) converts to lowercase for case-insensitive comparison\\n- UPPER({Field}) converts to uppercase for case-insensitive comparison\\n- VALUE({Text}) converts text to number for numeric comparisons\\n- LEN({Field}) gets text length\\n- ROUND(number, precision) rounds number\\n- TODAY() current date\\n- NOW() current timestamp\\n- IF(condition, true_value, false_value) conditional logic\\n- DATETIME_FORMAT({Date}, 'format') formats date as text\\n- DATETIME_DIFF(date1, date2, 'unit') difference between dates\\n- DATEADD({Date}, number, 'unit') adds time to date\\n- LEFT({Text}, number) extracts leftmost characters\\n- RIGHT({Text}, number) extracts rightmost characters\\n- AND({Field1} = 'Value1', {Field2} > 50) multiple conditions\\n- SEARCH('Value', {Field}) substring match\\n- ROUND({Field1} / {Field2}, 2) numeric calculation\\n- AND(IS_BEFORE({Date}, TODAY()), {Status} = 'Active') filter by date and status\\n- ISERROR(expression) checks if an expression has an error\\n- ABS(number) absolute value\\n- MIN(value1, value2) minimum value\\n- MAX(value1, value2) maximum value\\n\\n\"\n },\n {\n \"id\": \"4e0f9af6-517f-42af-9ced-df0e8a7118b0\",\n \"name\": \"schema\",\n \"type\": \"string\",\n \"value\": \"={\\n \\\"name\\\": \\\"filter\\\",\\n \\\"schema\\\": {\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"filter\\\": {\\n \\\"type\\\": \\\"string\\\"\\n }\\n },\\n \\\"required\\\": [\\n \\\"filter\\\"\\n ],\\n \\\"additionalProperties\\\": false\\n },\\n \\\"strict\\\": true\\n}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"6e670074-8508-4282-9c40-600cc445b10f\",\n \"name\": \"Upload file to get link\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"onError\": \"continueRegularOutput\",\n \"position\": [\n 2580,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://tmpfiles.org/api/v1/upload\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"contentType\": \"multipart-form-data\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"file\",\n \"parameterType\": \"formBinaryData\",\n \"inputDataFieldName\": \"data\"\n }\n ]\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"b7569d19-3a10-41e5-932b-4be04260a58e\",\n \"name\": \"OpenAI - Download File\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2360,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/files/{{ $json.data[0].attachments[0]?.file_id ?? $json.data[0].content.find(x=>x.type==\\\"image_file\\\")?.image_file.file_id }}/content\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"vBLHyjEnMK9EaWwQ\",\n \"name\": \"Mark OpenAi \"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"bf378b21-07fb-4f9e-bfc5-9623ebcb8236\",\n \"name\": \"OpenAI - Get messages\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1960,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('OpenAI - Create thread').item.json.id }}/messages\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"zJhr5piyEwVnWtaI\",\n \"name\": \"OpenAi club\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"9874eec1-61e2-45fe-8c57-556957a15473\",\n \"name\": \"OpenAI - Run assistant\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1760,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('OpenAI - Create thread').item.json.id }}/runs\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"assistant_id\",\n \"value\": \"asst_PGUuvzEGJWOE8p8vwV56INLO\"\n },\n {\n \"name\": \"stream\",\n \"value\": \"={{true}}\"\n },\n {\n \"name\": \"tool_choice\",\n \"value\": \"={{ {\\\"type\\\": \\\"code_interpreter\\\"} }}\"\n },\n {\n \"name\": \"tools\",\n \"value\": \"={{ [{\\\"type\\\": \\\"code_interpreter\\\"}] }}\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"fLfRtaXbR0EVD0pl\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"e5339ad2-36c7-40c5-846b-2bd242f41ea5\",\n \"name\": \"OpenAI - Send message\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1560,\n 1720\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('OpenAI - Create thread').item.json.id }}/messages \",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"role\",\n \"value\": \"user\"\n },\n {\n \"name\": \"content\",\n \"value\": \"=Request:\\n{{ $('Execute Workflow Trigger').item.json.query.request }}\\n\\nData:\\n{{ $('Execute Workflow Trigger').item.json.query.data }}\"\n }\n ]\n },\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"fLfRtaXbR0EVD0pl\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"5b822c15-af63-43f6-ac30-61a34dcd91ee\",\n \"name\": \"OpenAI - Create thread\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1360,\n 1720\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/threads\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"OpenAI-Beta\",\n \"value\": \"assistants=v2\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"vBLHyjEnMK9EaWwQ\",\n \"name\": \"Mark OpenAi \"\n }\n },\n \"typeVersion\": 4.2\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"If1\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI - Download File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Merge\": {\n \"main\": [\n [\n {\n \"node\": \"Airtable - Search records\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Switch\": {\n \"main\": [\n [\n {\n \"node\": \"Get Bases\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Get Base/Tables schema\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"If filter description exists\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI - Create thread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Bases\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate1\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Aggregate2\": {\n \"main\": [\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Search records\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get base schema\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Create map image\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get list of bases\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Get messages\": {\n \"main\": [\n [\n {\n \"node\": \"If1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Send message\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Run assistant\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Set schema and prompt\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Generate search filter\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Base/Tables schema\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Create thread\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Send message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Download File\": {\n \"main\": [\n [\n {\n \"node\": \"Upload file to get link\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Run assistant\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI - Get messages\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Process data with code\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload file to get link\": {\n \"main\": [\n [\n {\n \"node\": \"Response1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute Workflow Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Switch\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Airtable - Search records\": {\n \"main\": [\n [\n {\n \"node\": \"Aggregate2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"If filter description exists\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Set schema and prompt\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI - Generate search filter\": {\n \"main\": [\n [\n {\n \"node\": \"Merge\",\n \"type\": \"main\",\n \"index\": 1\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "AI Agent to chat with Airtable and analyze data", "node_count": 41, "category": "Data Processing"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.airtableTool to get airtable data in obsidian notes", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 7\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.airtableTool, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.respondToWebhook\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"aZSJ2BZQhNduZZ8w\",\n \"meta\": {\n \"instanceId\": \"d47f3738b860eed937a1b18d7345fa2c65cf4b4957554e29477cb064a7039870\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Get Airtable data in Obsidian Notes\",\n \"tags\": [\n {\n \"id\": \"zalLN3OHeRqcq4di\",\n \"name\": \"Obsidian\",\n \"createdAt\": \"2024-12-01T19:07:59.925Z\",\n \"updatedAt\": \"2024-12-01T19:07:59.925Z\"\n }\n ],\n \"nodes\": [\n {\n \"id\": \"584cfe61-7f1b-4deb-ab4b-45a5ffd20daf\",\n \"name\": \"Airtable\",\n \"type\": \"n8n-nodes-base.airtableTool\",\n \"position\": [\n 540,\n 340\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appP3ocJy1rXIo6ko\",\n \"cachedResultUrl\": \"https://airtable.com/appP3ocJy1rXIo6ko\",\n \"cachedResultName\": \"table\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblywtlpPtGQMTJRm\",\n \"cachedResultUrl\": \"https://airtable.com/appP3ocJy1rXIo6ko/tblywtlpPtGQMTJRm\",\n \"cachedResultName\": \"Dummy\"\n },\n \"options\": {},\n \"operation\": \"search\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"yiZ7ZC1md4geZovu\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"8a100c92-7971-464b-b3c0-18272f0a0bef\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 220,\n 340\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"q8L9oWVM7QyzYEE5\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"98887b9b-2eae-4a2e-af2b-d40c1786c5a2\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 280,\n 200\n ],\n \"parameters\": {\n \"text\": \"={{ $json.body.content }}\",\n \"options\": {},\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"91296976-3d78-4a9e-9f4c-a4136abcca4e\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -160,\n -260\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 497.9113826976365,\n \"height\": 389.9939760040372,\n \"content\": \"[](https://www.youtube.com/watch?v=2PIdeTgsENo)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7adae874-d388-4265-aff8-28a1970bd0fb\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n -240\n ],\n \"parameters\": {\n \"width\": 563.3824678865192,\n \"height\": 368.0048034646952,\n \"content\": \"## Get Airtable Data in Obsidian with AI Agent\\n<-- Watch the video to see it in action!\\n\\n**How to Set Up:**\\n- Install the [Post Webhook Plugin](https://github.com/Masterb1234/obsidian-post-webhook/) in Obsidian.\\n- Insert the n8n Webhook URL into the Post Webhook plugin settings.\\n- Configure Your Airtable Node to match your workflow needs.\\n\\n\\n**How to Use:**\\n- Highlight text containing a question about your Airtable data.\\n- Open the Obsidian Command Palette (Ctrl+P) and choose 'Send Selection to [Your Webhook]'.\\n- Click, wait for the AI Agent to process your request, and see the result appear below your selected text.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52c40581-656d-45b5-b366-d67cf2474312\",\n \"name\": \"Respond to Obsidian\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 700,\n 200\n ],\n \"parameters\": {\n \"options\": {},\n \"respondWith\": \"text\",\n \"responseBody\": \"={{ $json.output }}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"f2bf502e-5e6f-4e71-8c4f-27ec2dc5ab67\",\n \"name\": \"Webhook Set Up in Obsidian\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -40,\n 200\n ],\n \"webhookId\": \"59fc8248-d3f7-4dbc-bdf3-39d59e427160\",\n \"parameters\": {\n \"path\": \"59fc8248-d3f7-4dbc-bdf3-39d59e427160\",\n \"options\": {},\n \"httpMethod\": \"POST\",\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"dab99881-2d04-4113-9a4e-2f942fdf1c24\",\n \"connections\": {\n \"AI Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Respond to Obsidian\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Airtable\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook Set Up in Obsidian\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Get Airtable data in Obsidian Notes", "node_count": 7, "category": "Webhooks"}} {"prompt": "Design a workflow using n8n-nodes-base.form, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.extractFromFile to handling job application submissions with ai and n8n forms", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 23\n- Node Types: n8n-nodes-base.form, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.outputParserStructured, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.textClassifier, @n8n/n8n-nodes-langchain.chainLlm, n8n-nodes-base.formTrigger, n8n-nodes-base.airtable\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9\"\n },\n \"nodes\": [\n {\n \"id\": \"10565888-4a1b-439a-a188-c6ee7990bb63\",\n \"name\": \"Extract from File\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 860,\n 260\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"pdf\",\n \"binaryPropertyName\": \"File_Upload\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"583aff4b-d9f5-44e7-8e91-4938592b5630\",\n \"name\": \"OpenAI Chat Model1\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1740,\n 380\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a09afd0-0dce-41fd-bec3-783fcb3d01fc\",\n \"name\": \"Structured Output Parser\",\n \"type\": \"@n8n/n8n-nodes-langchain.outputParserStructured\",\n \"position\": [\n 1920,\n 380\n ],\n \"parameters\": {\n \"schemaType\": \"manual\",\n \"inputSchema\": \"{\\n \\\"type\\\": \\\"object\\\",\\n \\\"properties\\\": {\\n \\\"Name\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Address\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Email\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Telephone\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Education\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Skills & Technologies\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Years of Experience\\\": { \\\"type\\\": \\\"string\\\" },\\n \\\"Cover Letter\\\": { \\\"type\\\": \\\"string\\\" }\\n }\\n}\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"541a00d0-1635-48ad-b69e-83b28e178d6e\",\n \"name\": \"OpenAI Chat Model2\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1020,\n 420\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"8gccIjcuf3gvaoEr\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"19e4ad5b-2f96-491c-bcb3-52cca526ff82\",\n \"name\": \"Step 1 of 2 - Upload CV\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n 460,\n 220\n ],\n \"webhookId\": \"4cf0f3b7-6282-47af-a7f1-3dfb00a1311d\",\n \"parameters\": {\n \"options\": {\n \"path\": \"job-application-step1of2\",\n \"ignoreBots\": true,\n \"buttonLabel\": \"Submit\",\n \"useWorkflowTimezone\": true\n },\n \"formTitle\": \"Step 1 of 2: Submit Your CV\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Name\",\n \"placeholder\": \"Eg. Sam Smith\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"file\",\n \"fieldLabel\": \"File Upload\",\n \"multipleFiles\": false,\n \"requiredField\": true,\n \"acceptFileTypes\": \"pdf\"\n },\n {\n \"fieldType\": \"dropdown\",\n \"fieldLabel\": \"Acknowledgement of Terms\",\n \"multiselect\": true,\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"I agree to the terms & conditions\"\n }\n ]\n },\n \"requiredField\": true\n }\n ]\n },\n \"responseMode\": \"lastNode\",\n \"formDescription\": \"Thank you for your interest in applying for Acme Inc. To ensure a speedy process, please ensure you following all instructions and fill out all required inputs.\\n\\nThis step requires you upload your CV in a password-free PDF document. Any document that is not a CV will be rejected.\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"ec54096b-5f9f-444e-87b1-db99197731f1\",\n \"name\": \"Save to Airtable\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 2340,\n 320\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appQ6mE9KSzlvaGDT\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT\",\n \"cachedResultName\": \"Job Applications with AI & Forms\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblUwwRXGnNzesNgr\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT/tblUwwRXGnNzesNgr\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"Name\": \"={{ $json.output.Name }}\",\n \"Email\": \"={{ $json.output.Email }}\",\n \"Address\": \"={{ $json.output.Address }}\",\n \"Education\": \"={{ $json.output.Education }}\",\n \"Telephone\": \"={{ $json.output.Telephone }}\",\n \"Cover Letter\": \"={{ $json.output['Cover Letter'] }}\",\n \"Submitted By\": \"={{ $('Step 1 of 2 - Upload CV').first().json.Name }}\",\n \"Years of Experience\": \"={{ $json.output['Years of Experience'] }}\",\n \"Skills & Technologies\": \"={{ $json.output['Skills & Technologies'] }}\"\n },\n \"schema\": [\n {\n \"id\": \"Name\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Name\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"File\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"File\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Cover Letter\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Cover Letter\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Address\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Address\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Email\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Email\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Telephone\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Telephone\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Education\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Education\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Skills & Technologies\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Skills & Technologies\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Years of Experience\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Years of Experience\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Created\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Created\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Last Modified\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Last Modified\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Submitted By\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Submitted By\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"127965b3-a2c6-443b-942d-8691b5bcb25d\",\n \"name\": \"Classify Document\",\n \"type\": \"@n8n/n8n-nodes-langchain.textClassifier\",\n \"position\": [\n 1020,\n 260\n ],\n \"parameters\": {\n \"options\": {\n \"fallback\": \"other\"\n },\n \"inputText\": \"={{ $json.text }}\",\n \"categories\": {\n \"categories\": [\n {\n \"category\": \"CV or Resume\",\n \"description\": \"This document is a CV or Resume\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b82476c8-b285-467f-b344-e1f667f42479\",\n \"name\": \"Upload File to Record\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2540,\n 320\n ],\n \"parameters\": {\n \"url\": \"=https://content.airtable.com/v0/{{ $('Save to Airtable').params.base.value }}/{{ $json.id }}/File/uploadAttachment\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"contentType\",\n \"value\": \"application/pdf\"\n },\n {\n \"name\": \"filename\",\n \"value\": \"={{ $workflow.id }}-{{ $execution.id }}.pdf\"\n },\n {\n \"name\": \"file\",\n \"value\": \"={{ $('Step 1 of 2 - Upload CV').first().binary.File_Upload.data }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"airtableTokenApi\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"ee6f59ee-781f-4ed4-8cec-b7de70a82dac\",\n \"name\": \"Form Success\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 3900,\n 320\n ],\n \"webhookId\": \"4b154ccc-ad54-4cc2-a239-cf8354fc91bf\",\n \"parameters\": {\n \"options\": {},\n \"operation\": \"completion\",\n \"completionTitle\": \"Application Success\",\n \"completionMessage\": \"Thank you for completing the application process.\\nYour informaion is filed securely and will be reviewed by our team.\\n\\nWe will be in touch shortly.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"43d46474-b9f8-4adf-89f8-d4c993641448\",\n \"name\": \"Save to Airtable1\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"onError\": \"continueErrorOutput\",\n \"position\": [\n 3720,\n 320\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appQ6mE9KSzlvaGDT\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT\",\n \"cachedResultName\": \"Job Applications with AI & Forms\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tblUwwRXGnNzesNgr\",\n \"cachedResultUrl\": \"https://airtable.com/appQ6mE9KSzlvaGDT/tblUwwRXGnNzesNgr\",\n \"cachedResultName\": \"Table 1\"\n },\n \"columns\": {\n \"value\": {\n \"Name\": \"={{ $json.Name }}\",\n \"Email\": \"={{ $json.Email }}\",\n \"Address\": \"={{ $json.Address }}\",\n \"Education\": \"={{ $json.Education }}\",\n \"Telephone\": \"={{ $json.Telephone }}\",\n \"Cover Letter\": \"={{ $json.output['Cover Letter'] }}\",\n \"Years of Experience\": \"={{ $json['Years of Experience'] }}\",\n \"Skills & Technologies\": \"={{ $json['Skills & Technologies'] }}\"\n },\n \"schema\": [\n {\n \"id\": \"Name\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Name\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"File\",\n \"type\": \"array\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"File\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Cover Letter\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Cover Letter\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Address\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Address\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Email\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Email\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Telephone\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Telephone\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Education\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Education\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Skills & Technologies\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Skills & Technologies\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Years of Experience\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Years of Experience\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Created\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Created\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Last Modified\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": true,\n \"required\": false,\n \"displayName\": \"Last Modified\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"Submitted By\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": true,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Submitted By\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": [\n \"Email\",\n \"Name\"\n ]\n },\n \"options\": {},\n \"operation\": \"update\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Und0frCQ6SNVX3VV\",\n \"name\": \"Airtable Personal Access Token account\"\n }\n },\n \"typeVersion\": 2.1\n },\n {\n \"id\": \"38115307-824c-4354-917c-b18e93178f87\",\n \"name\": \"Step 2 of 2 - Application Form\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n 3520,\n 320\n ],\n \"webhookId\": \"db923d6c-ea24-4679-b4ba-d3b142ef8338\",\n \"parameters\": {\n \"options\": {\n \"path\": \"job-application-step2of2\",\n \"ignoreBots\": true,\n \"useWorkflowTimezone\": true\n },\n \"formTitle\": \"Step 2 of 2: Application Form\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"Name\",\n \"placeholder\": \"Eg. Sam Smith\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Address\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"email\",\n \"fieldLabel\": \"Email\",\n \"requiredField\": true\n },\n {\n \"fieldLabel\": \"Telephone\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Education\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Skills & Technologies\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Years of Experience\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"Cover Letter\",\n \"requiredField\": true\n },\n {\n \"fieldType\": \"dropdown\",\n \"fieldLabel\": \"Acknowledgement of Terms\",\n \"multiselect\": true,\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"I agree to consent to the terms and conditions\"\n }\n ]\n },\n \"requiredField\": true\n }\n ]\n },\n \"formDescription\": \"This application form prefills using the CV you submitted. Please make any amendments as required and once satisfied, please submit the form to complete the application process.\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"1171540b-ebb2-41cb-b9f1-2da335caaece\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 300,\n 20\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 430,\n \"height\": 381,\n \"content\": \"## 1. Application Form To Upload CV\\n[Learn more the Form Trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger/)\\n\\nOur application process starts with a simple file upload to get the applicant's CV for processing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4791901b-31a6-44c3-a1da-9c32b78cf305\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 760,\n 17.5\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 774,\n \"height\": 593,\n \"content\": \"## 2. Document Classifier and ReUpload Form\\n[Read more about the Text Classifier](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.text-classifier/)\\n\\nForm validation remains a critical step and before the introduction of LLMs, classifying document types was a relatively troublesome process. Today, n8n's text classifier node does an excellent job at this task.\\n\\nContextual validation powered by AI means invalid, incomplete or poorly created applicant CVs can be rejected as a quality check. When this happens in our workflow, we present the user again with the file upload form to retry.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4dc1a316-15b7-4568-9910-79b4a7989dcb\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1560,\n -20\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 648,\n \"height\": 584,\n \"content\": \"## 3. Smarter Application Pre-fill with Job Role Context\\n[Read more about the Basic LLM node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.chainllm)\\n\\nInformation extraction is a logical next step once we have our PDF contents but we can extend further by only extracting data which is relevant to our job post. This ensure the information we extract is always relevant which saves time for the hiring team.\\n\\nTo achieve this for this demo, I've included the job post in the prompt for the LLM to compare the CV against. The provides the AI enough context to complete the task successfully.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"76006a7b-32ce-4606-be98-9a7b7b451215\",\n \"name\": \"Application Suitability Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainLlm\",\n \"position\": [\n 1740,\n 220\n ],\n \"parameters\": {\n \"text\": \"=Here is the candidate's CV:\\n{{ $json.text }}\",\n \"messages\": {\n \"messageValues\": [\n {\n \"message\": \"=Extract information from the applicant's CV which is relevant to the job post.\\nWhen writing the cover letter, use no more than a few paragraphs. No need to address the hiring company or personnel as this text will be input into an online form.\\nUse a formal and professional tone.\\nThis is the job post which the cover letter should address:\\n\\n```\\nJob Post: General Operations Manager – Manufacturing Industry\\nJob Type: Full-time\\nExperience Level: Mid to Senior\\n\\nAbout Us:\\nWe are a forward-thinking manufacturing company committed to innovation, quality, and sustainability. We strive to improve operations, enhance product quality, and implement eco-friendly practices, fostering a productive and collaborative work environment.\\n\\nJob Description:\\nWe are seeking an experienced and dynamic General Operations Manager to lead and optimize our manufacturing processes. The successful candidate will oversee production, enhance efficiency, and implement effective strategies to support our mission. This role is ideal for a seasoned professional with a strong background in operational management and a knack for process improvement.\\n\\nKey Responsibilities:\\n\\nOversee and manage production and sales teams across multiple shifts, ensuring seamless 24/6 operations.\\nDevelop and implement cost-effective quality control and accountability measures to maintain high manufacturing standards.\\nManage inventory and procurement, strategically timing raw material purchases to maximize cost efficiency.\\nLead ERP system upgrades or similar digital transformation projects, ensuring timely and budget-friendly execution.\\nOptimize credit control and payment terms to improve cash flow while maintaining client relationships.\\nAdvocate for sustainable practices, including integrating recycled materials into production processes.\\nQualifications:\\n\\nBachelor's degree in Business Administration or a related field; a Master's in Financial Economics is a plus.\\nProven experience in a leadership role within the manufacturing industry.\\nExpertise in managing teams, production cycles, and quality assurance.\\nProficiency in ERP systems and software such as Stata, Bloomberg Professional, and Thomson Reuters DataStream.\\nStrong analytical, decision-making, and organizational skills.\\nFamiliarity with capital markets, private equity, or strategic management consulting is a plus.\\nPreferred Skills:\\n\\nAdvanced knowledge of plastics manufacturing, including polyethylene and polypropylene applications.\\nExperience in implementing sustainability initiatives and green business practices.\\nExcellent communication skills, with a history of collaboration and team-building.\\nWhat We Offer:\\n\\nCompetitive salary and benefits package.\\nOpportunities for professional growth and development.\\nA collaborative and innovative work environment.\\nHow to Apply:\\nPlease send your resume and a cover letter highlighting your experience and achievements to [HR Email]. Applications will be reviewed on a rolling basis.\\n\\nJoin us and drive operational excellence in manufacturing!\\n```\"\n }\n ]\n },\n \"promptType\": \"define\",\n \"hasOutputParser\": true\n },\n \"typeVersion\": 1.5\n },\n {\n \"id\": \"cfc6a1a1-d42c-49b1-a93b-4a04e7e88521\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2240,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 528,\n \"height\": 524,\n \"content\": \"## 4. Save to Applicant Tracking System\\n[Read more about the Airtable node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.airtable/)\\n\\nNext, we can complete our simple data capture by integrating and pushing data to our Applicant Tracking System.\\n\\nHere, we're using Airtable because we can also store PDF files in our rows.\\n\\nSee our example Airtable here: [https://airtable.com/appQ6mE9KSzlvaGDT/shrIivfe9qH6YEYAs](https://airtable.com/appQ6mE9KSzlvaGDT/shrIivfe9qH6YEYAs)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"8f21067f-a851-4480-84b8-bb37eddfd7d6\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2780,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 575.8190139534884,\n \"height\": 524,\n \"content\": \"## 5. Redirect to Application Form\\n[Learn more about Form Ending](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/#form-ending)\\n\\nFinally to complete the form flow for step 1 of 2, we'll use a form ending node to redirect the user to step 2 of 2.\\n\\nHere, we using query params as part of our redirect as this will pre-fill the form fields in step 2 of 2.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2ba9cea6-173f-45be-bdda-a6ef061d91f5\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3380,\n 40\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 788,\n \"height\": 524,\n \"content\": \"## 6. Application Form to Amend Details\\n[Learn more about Forms](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form)\\n\\nIn the second part of the application process, applicants are presented with a form containing multiple fields to complete. This step has often been a source of frustration for many, as they end up duplicating information that’s already in their CV.\\n\\nIf our redirection with prefilled data works as intended, this issue will be resolved, as the fields will be automatically populated by our LLM during step 1 of 2. This also allows candidates the opportunity to review and refine the application fields before submitting.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5add63c3-19d4-4035-a718-b1c125a03c67\",\n \"name\": \"File Upload Retry\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 1340,\n 380\n ],\n \"webhookId\": \"c3e8dc74-c6e0-4d0b-acf3-8bbc2f7c9ae2\",\n \"parameters\": {\n \"options\": {\n \"formTitle\": \"Please upload a CV\",\n \"formDescription\": \"Unfortunately, we were unable to process your previous file upload.\\n\\nTo continue, you must upload a valid CV in PDF format. \"\n },\n \"formFields\": {\n \"values\": [\n {\n \"fieldType\": \"file\",\n \"fieldLabel\": \"File Upload\",\n \"multipleFiles\": false,\n \"requiredField\": true,\n \"acceptFileTypes\": \"pdf\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cc27b37f-26f5-47c3-9ac2-4412352070e5\",\n \"name\": \"Redirect To Step 2 of 2\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 3120,\n 280\n ],\n \"webhookId\": \"1b6e2375-e21d-4e4f-a44e-3ef0de95320e\",\n \"parameters\": {\n \"operation\": \"completion\",\n \"redirectUrl\": \"=https:// /form/job-application-step2of2?{{ $('Application Suitability Agent').first().json.output.urlEncode() }}\",\n \"respondWith\": \"redirect\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"1cba63a9-57cb-4e17-a601-2bd64fb50dbf\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -140,\n -240\n ],\n \"parameters\": {\n \"width\": 420,\n \"height\": 640,\n \"content\": \"## Try It Out!\\n\\n### This n8n template combines form file uploads with AI components to create a simple but effective job application submission flow.\\nIt's a perfect low-cost solution without the bells and whistles of the surface yet is highly advanced with its use of AI.\\n\\n### How it works\\n* The application submission process starts with an n8n form trigger to accept CV files in the form of PDFs.\\n* The PDF is validated using the text classifier node to determine if it is a valid CV.\\n* A basic LLM node is used to extract relevant information from the CV as data capture. A copy of the original job post is included to ensure relevancy.\\n* Applicant's data is then sent to an ATS for processing. For our demo, we used airtable because we could attach PDFs to rows.\\n* Finally, a second form trigger is used to allow the applicant to amend any of the generated application fields.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4289f9f2-2286-4bc7-9045-c645ff292341\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3060,\n 460\n ],\n \"parameters\": {\n \"height\": 120,\n \"content\": \"### 🚨 Change Base URL here!\\nThis redirect requires the full base URL, change it to the host of your n8n instance.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"fca5b2ab-291f-4ac3-b4e1-13911666359f\",\n \"name\": \"Submission Success\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 2900,\n 280\n ],\n \"webhookId\": \"f3b12dd4-dd5d-47a9-8bc1-727ba7eb5d15\",\n \"parameters\": {\n \"options\": {\n \"formTitle\": \"CV Submission Successful!\",\n \"buttonLabel\": \"Continue\",\n \"formDescription\": \"We'll now redirect you to step 2 of 2 - our Application form. Please note, some fields will be prefilled with information from your CV. Feel free to amend this information as needed.\"\n },\n \"formFields\": {\n \"values\": [\n {\n \"fieldType\": \"dropdown\",\n \"fieldLabel\": \"Acknowledgement\",\n \"multiselect\": true,\n \"fieldOptions\": {\n \"values\": [\n {\n \"option\": \"I understand my CV will be held soley for purpose of application and for no more than 90 days.\"\n }\n ]\n },\n \"requiredField\": true\n }\n ]\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Save to Airtable\": {\n \"main\": [\n [\n {\n \"node\": \"Upload File to Record\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Classify Document\": {\n \"main\": [\n [\n {\n \"node\": \"Application Suitability Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"File Upload Retry\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract from File\": {\n \"main\": [\n [\n {\n \"node\": \"Classify Document\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"File Upload Retry\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Save to Airtable1\": {\n \"main\": [\n [\n {\n \"node\": \"Form Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Form Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model1\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Application Suitability Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model2\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Classify Document\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Submission Success\": {\n \"main\": [\n [\n {\n \"node\": \"Redirect To Step 2 of 2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Upload File to Record\": {\n \"main\": [\n [\n {\n \"node\": \"Submission Success\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Step 1 of 2 - Upload CV\": {\n \"main\": [\n [\n {\n \"node\": \"Extract from File\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Structured Output Parser\": {\n \"ai_outputParser\": [\n [\n {\n \"node\": \"Application Suitability Agent\",\n \"type\": \"ai_outputParser\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Application Suitability Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Save to Airtable\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Step 2 of 2 - Application Form\": {\n \"main\": [\n [\n {\n \"node\": \"Save to Airtable1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Handling Job Application Submissions with AI and n8n Forms", "node_count": 23, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for openai assistant for hubspot chat", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 34\n- Node Types: n8n-nodes-base.wait, n8n-nodes-base.switch, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.if, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.code, n8n-nodes-base.httpRequest, n8n-nodes-base.airtable\n\n**Logic Flow**:\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"C2pB17EpXAJwOcst\",\n \"meta\": {\n \"instanceId\": \"ba379c9b99d35340c90344105e7e5d06ca0de3e88926f0384d2c23099dad1937\"\n },\n \"name\": \"OpenAI Assistant for Hubspot Chat\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"7f11a684-911b-4fbc-ba1b-a8e7bce8e914\",\n \"name\": \"getHubspotMessage\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 280,\n 580\n ],\n \"parameters\": {\n \"url\": \"=https://api.hubapi.com/conversations/v3/conversations/threads/{{ $json[\\\"body\\\"][0][\\\"objectId\\\"] }}/messages/{{ $json[\\\"body\\\"][0][\\\"messageId\\\"] }}\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"hubspotAppToken\"\n },\n \"credentials\": {\n \"hubspotAppToken\": {\n \"id\": \"56nluFhXiGjYN1EY\",\n \"name\": \"HubSpot App Token tinder\"\n },\n \"hubspotOAuth2Api\": {\n \"id\": \"y6819fYl4TsW9gl6\",\n \"name\": \"HubSpot account 6\"\n },\n \"hubspotDeveloperApi\": {\n \"id\": \"dHB9nVcnZTqf2JDX\",\n \"name\": \"HubSpot Developer account\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"687bcbb8-38c8-4d21-a46f-186e880d003c\",\n \"name\": \"OpenAi Create Thread\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1260,\n 420\n ],\n \"parameters\": {\n \"url\": \"https://api.openai.com/v1/threads\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"messages\\\": [\\n {\\n \\\"role\\\": \\\"user\\\",\\n \\\"content\\\": \\\"{{ $('getHubspotMessage').item.json[\\\"text\\\"] }}\\\"\\n }\\n ]\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"8b51d465-d298-4b7a-b939-026bd51469d3\",\n \"name\": \"OpenAI Run\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1620,\n 420\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json[\\\"OpenAI Thread ID\\\"] }}/runs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"assistant_id\\\": \\\"asst_MA71Jq0SElVpdjmJa212CTFd\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"3e645c55-a236-466f-9983-2a3e91c250db\",\n \"name\": \"Get Run\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1920,\n 600\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json[\\\"thread_id\\\"] }}/runs/{{ $json[\\\"id\\\"] }}\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"a69a1d1e-b932-481e-8d36-8d121c63ad4b\",\n \"name\": \"Get Last Message\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2520,\n 460\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $json[\\\"thread_id\\\"] }}/messages\",\n \"options\": {},\n \"sendHeaders\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"d9758207-56d4-4180-aac7-f0ebafab1064\",\n \"name\": \"HTTP Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2820,\n 960\n ],\n \"parameters\": {\n \"url\": \"=https://www.listafirme.ro/api/search-v1.asp\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"key\",\n \"value\": \"982dc86a0c1bd4c71185d39ae9f36998\"\n },\n {\n \"name\": \"src\",\n \"value\": \"={{JSON.parse($json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"function\\\"][\\\"arguments\\\"]).src}}\"\n }\n ]\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"5c6f30fd-3ac2-401c-897a-54c7e998c97b\",\n \"name\": \"Completed, Action or Inprogress\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 2120,\n 600\n ],\n \"parameters\": {\n \"rules\": {\n \"rules\": [\n {\n \"value2\": \"completed\"\n },\n {\n \"output\": 1,\n \"value2\": \"requires_action\"\n },\n {\n \"output\": 2,\n \"value2\": \"in_progress\",\n \"operation\": \"=equal\"\n },\n {\n \"output\": 3,\n \"value2\": \"queued\"\n }\n ]\n },\n \"value1\": \"={{ $json.status }}\",\n \"dataType\": \"string\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c1bc0adf-3552-43a3-b38f-bfc76e2683cd\",\n \"name\": \"Wait\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2360,\n 1000\n ],\n \"webhookId\": \"e15c2bb6-e022-4c6d-869b-f361b1ec1259\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2e0c4528-5b2b-4d3c-9b53-166ea0f2a28e\",\n \"name\": \"Wait1\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 2340,\n 760\n ],\n \"webhookId\": \"3a175bf4-c569-431e-bc56-abed3653ce9d\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f80a2cd8-6691-4186-909b-cfed95318014\",\n \"name\": \"Submit Data\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3360,\n 960\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('Select Function').item.json[\\\"thread_id\\\"] }}/runs/{{ $('Select Function').item.json[\\\"id\\\"] }}/submit_tool_outputs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"tool_outputs\\\": [\\n {\\n \\\"tool_call_id\\\": \\\"{{ $('Select Function').item.json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"id\\\"] }}\\\",\\n \\\"output\\\": \\\"{{$json.escapedJsonString}}\\\"\\n }\\n ]\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"eb114cfd-1af2-4c8b-bfba-583453a1d7ca\",\n \"name\": \"Select Function\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 2520,\n 700\n ],\n \"parameters\": {\n \"rules\": {\n \"rules\": [\n {\n \"value2\": \"getAWBbyOrder\"\n },\n {\n \"output\": 1,\n \"value2\": \"get_awb_history\"\n }\n ]\n },\n \"value1\": \"={{ $json.required_action.submit_tool_outputs.tool_calls[0].function.name }}\",\n \"dataType\": \"string\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d1ad478-a9a4-4e9f-9b06-e2a9b7b2b55c\",\n \"name\": \"Code1\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3080,\n 960\n ],\n \"parameters\": {\n \"jsCode\": \"const item1 = $input.all()[0]?.json;\\nconst jsonString = JSON.stringify(item1);\\nconst escapedJsonString = jsonString.replace(/\\\"/g, '\\\\\\\\\\\"');\\n\\nreturn { escapedJsonString };\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"39cab0c4-1d7d-41cb-a88d-00acc8e79a24\",\n \"name\": \"Wait2\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3720,\n 1400\n ],\n \"webhookId\": \"68ae5068-6a39-424c-b88d-019bfee78b6f\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"54205ed2-7c96-44b6-9637-20830300310a\",\n \"name\": \"HTTP Request1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2820,\n 1180\n ],\n \"parameters\": {\n \"url\": \"=https://www.listafirme.ro/api/info-v1.asp\",\n \"options\": {},\n \"sendQuery\": true,\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"key\",\n \"value\": \"982dc86a0c1bd4c71185d39ae9f36998\"\n },\n {\n \"name\": \"data\",\n \"value\": \"={\\\"TaxCode\\\":\\\"{{JSON.parse($json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"function\\\"][\\\"arguments\\\"]).src}}\\\",\\\"NACE\\\":\\\"info\\\",\\\"VAT\\\":\\\"\\\", \\\"RegNo\\\":\\\"\\\", \\\"Status\\\":\\\"\\\", \\\"LegalForm\\\":\\\"\\\", \\\"Name\\\":\\\"\\\", \\\"Date\\\":\\\"\\\", \\\"TownCode\\\":\\\"\\\", \\\"County\\\":\\\"\\\", \\\"City\\\":\\\"\\\", \\\"Address\\\":\\\"\\\", \\\"Administrators\\\":\\\"\\\", \\\"Shareholders\\\":\\\"\\\", \\\"Balance\\\":\\\"latest\\\", \\\"Phone\\\":\\\"\\\", \\\"Mobile\\\":\\\"\\\", \\\"Fax\\\":\\\"\\\", \\\"Email\\\":\\\"\\\", \\\"Web\\\":\\\"\\\", \\\"Geolocation\\\":\\\"\\\", \\\"Description\\\":\\\"\\\", \\\"Trademarks\\\":\\\"\\\", \\\"Subsidiaries\\\":\\\"\\\", \\\"Branches\\\":\\\"\\\", \\\"FiscalActivity\\\":\\\"\\\", \\\"Obligations\\\":\\\"\\\", \\\"Links\\\":\\\"\\\"}\"\n }\n ]\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"862ab78d-0288-4c78-9e02-7ad4ff794a6d\",\n \"name\": \"Code\",\n \"type\": \"n8n-nodes-base.code\",\n \"position\": [\n 3060,\n 1180\n ],\n \"parameters\": {\n \"jsCode\": \"const item1 = $input.all()[0]?.json;\\nconst jsonString = JSON.stringify(item1);\\nconst escapedJsonString = jsonString.replace(/\\\"/g, '\\\\\\\\\\\"');\\n\\nreturn { escapedJsonString };\\n\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"e9d1d277-107d-403c-9911-5faa4ae75671\",\n \"name\": \"Submit Data1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 3260,\n 1180\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('Select Function').item.json[\\\"thread_id\\\"] }}/runs/{{ $('Select Function').item.json[\\\"id\\\"] }}/submit_tool_outputs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"tool_outputs\\\": [\\n {\\n \\\"tool_call_id\\\": \\\"{{ $('Select Function').item.json[\\\"required_action\\\"][\\\"submit_tool_outputs\\\"][\\\"tool_calls\\\"][0][\\\"id\\\"] }}\\\",\\n \\\"output\\\": \\\"{{$json.escapedJsonString}}\\\"\\n }\\n ]\\n} \",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"28e7637b-9a3b-49ba-b4c7-efd3f6cf0522\",\n \"name\": \"Wait3\",\n \"type\": \"n8n-nodes-base.wait\",\n \"position\": [\n 3460,\n 1360\n ],\n \"webhookId\": \"6d7d039c-8a4b-4178-8d31-57fb3c24ac14\",\n \"parameters\": {\n \"unit\": \"seconds\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2b954546-8bc6-4028-9826-37a64d2aed04\",\n \"name\": \"respondHubspotMessage1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 2820,\n 420\n ],\n \"parameters\": {\n \"url\": \"=https://api.hubapi.com/conversations/v3/conversations/threads/{{ $('getHubspotMessage').item.json[\\\"conversationsThreadId\\\"] }}/messages\",\n \"method\": \"POST\",\n \"options\": {},\n \"sendBody\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"bodyParameters\": {\n \"parameters\": [\n {\n \"name\": \"type\",\n \"value\": \"MESSAGE\"\n },\n {\n \"name\": \"richText\",\n \"value\": \"={{ $json.data[0].content[0].text.value }}\"\n },\n {\n \"name\": \"senderActorId\",\n \"value\": \"A-5721819\"\n },\n {\n \"name\": \"channelId\",\n \"value\": \"={{ $('getHubspotMessage').item.json.channelId }}\"\n },\n {\n \"name\": \"channelAccountId\",\n \"value\": \"={{ $('getHubspotMessage').item.json.channelAccountId }}\"\n },\n {\n \"name\": \"text\",\n \"value\": \"{{ $json.data[0].content[0].text.value }}\"\n }\n ]\n },\n \"nodeCredentialType\": \"hubspotAppToken\"\n },\n \"credentials\": {\n \"hubspotAppToken\": {\n \"id\": \"56nluFhXiGjYN1EY\",\n \"name\": \"HubSpot App Token tinder\"\n },\n \"hubspotOAuth2Api\": {\n \"id\": \"y6819fYl4TsW9gl6\",\n \"name\": \"HubSpot account 6\"\n },\n \"hubspotDeveloperApi\": {\n \"id\": \"dHB9nVcnZTqf2JDX\",\n \"name\": \"HubSpot Developer account\"\n }\n },\n \"typeVersion\": 4.1\n },\n {\n \"id\": \"6facd7e9-5cbd-4eb7-ab22-84b4fbf35885\",\n \"name\": \"IF\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 640,\n 600\n ],\n \"parameters\": {\n \"conditions\": {\n \"string\": [\n {\n \"value1\": \"={{ $('getHubspotMessage').item.json[\\\"senders\\\"][0][\\\"actorId\\\"] }}\",\n \"value2\": \"A-5721819\",\n \"operation\": \"notEqual\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9410bce8-3a2d-4852-acbd-8baa7ee4964d\",\n \"name\": \"Airtable\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 860,\n 600\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appGAPr0tOy8J0NXC\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC\",\n \"cachedResultName\": \"Hubspot Conversations ChatGPT\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tbljZ0POq35jgnKES\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC/tbljZ0POq35jgnKES\",\n \"cachedResultName\": \"Conversations\"\n },\n \"options\": {},\n \"operation\": \"search\",\n \"filterByFormula\": \"={Hubspot Thread ID}=\\\"{{ $json.conversationsThreadId }}\\\"\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Ha1BL7JqKQIwX3H1\",\n \"name\": \"Hubspot Conversations Makeitfuture Management\"\n }\n },\n \"typeVersion\": 2,\n \"alwaysOutputData\": true\n },\n {\n \"id\": \"06449687-7521-4151-89c5-050a2768af13\",\n \"name\": \"IF1\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 1040,\n 640\n ],\n \"parameters\": {\n \"conditions\": {\n \"string\": [\n {\n \"value1\": \"={{ $('Airtable').item.json.id }}\",\n \"operation\": \"isEmpty\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"65c3015e-760f-41e8-9d18-05492cf908c8\",\n \"name\": \"createThread\",\n \"type\": \"n8n-nodes-base.airtable\",\n \"position\": [\n 1440,\n 420\n ],\n \"parameters\": {\n \"base\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"appGAPr0tOy8J0NXC\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC\",\n \"cachedResultName\": \"Hubspot Conversations ChatGPT\"\n },\n \"table\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"tbljZ0POq35jgnKES\",\n \"cachedResultUrl\": \"https://airtable.com/appGAPr0tOy8J0NXC/tbljZ0POq35jgnKES\",\n \"cachedResultName\": \"Conversations\"\n },\n \"columns\": {\n \"value\": {\n \"OpenAI Thread ID\": \"={{ $json[\\\"id\\\"] }}\",\n \"Hubspot Thread ID\": \"={{ $('getHubspotMessage').item.json.conversationsThreadId }}\"\n },\n \"schema\": [\n {\n \"id\": \"Hubspot Thread ID\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"Hubspot Thread ID\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n },\n {\n \"id\": \"OpenAI Thread ID\",\n \"type\": \"string\",\n \"display\": true,\n \"removed\": false,\n \"readOnly\": false,\n \"required\": false,\n \"displayName\": \"OpenAI Thread ID\",\n \"defaultMatch\": false,\n \"canBeUsedToMatch\": true\n }\n ],\n \"mappingMode\": \"defineBelow\",\n \"matchingColumns\": []\n },\n \"options\": {},\n \"operation\": \"create\"\n },\n \"credentials\": {\n \"airtableTokenApi\": {\n \"id\": \"Ha1BL7JqKQIwX3H1\",\n \"name\": \"Hubspot Conversations Makeitfuture Management\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"14cd4854-34fa-4a40-8bd2-cce2d9da9571\",\n \"name\": \"OpenAI Run1\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1620,\n 780\n ],\n \"parameters\": {\n \"url\": \"=https://api.openai.com/v1/threads/{{ $('Airtable').item.json[\\\"OpenAI Thread ID\\\"] }}/runs\",\n \"method\": \"POST\",\n \"options\": {},\n \"jsonBody\": \"={\\n \\\"assistant_id\\\": \\\"asst_MA71Jq0SElVpdjmJa212CTFd\\\"\\n}\",\n \"sendBody\": true,\n \"sendHeaders\": true,\n \"specifyBody\": \"json\",\n \"authentication\": \"predefinedCredentialType\",\n \"headerParameters\": {\n \"parameters\": [\n {\n \"name\": \"openai-beta\",\n \"value\": \"assistants=v1\"\n }\n ]\n },\n \"nodeCredentialType\": \"openAiApi\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 4.1,\n \"continueOnFail\": true,\n \"alwaysOutputData\": false\n },\n {\n \"id\": \"7c37641f-b0a4-4031-b289-3d6aed5a5bd6\",\n \"name\": \"IF2\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 60,\n 600\n ],\n \"parameters\": {\n \"conditions\": {\n \"string\": [\n {\n \"value1\": \"={{ $json[\\\"body\\\"][0][\\\"messageId\\\"] }}\",\n \"operation\": \"isNotEmpty\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"12744ebd-1d36-4f3c-9cbe-2ed7d18d37e3\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -200,\n 440\n ],\n \"parameters\": {\n \"width\": 640.1970959824021,\n \"height\": 428.68258455167785,\n \"content\": \"Watch for new message on the chatbot. \\nThis can be triggered with [n8n chat widget](https://www.npmjs.com/package/@n8n/chat), hubspot or other chat services. \\n\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9c200085-e9aa-4e11-93c2-da8184976229\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2480,\n 340\n ],\n \"parameters\": {\n \"width\": 615.2010006500725,\n \"height\": 279.76857176586907,\n \"content\": \"Post assistant Message back to chat service, in this case Hubspot\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4458aafb-d280-46d0-ba54-3eb4ee746892\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 300\n ],\n \"parameters\": {\n \"width\": 636.6434938094908,\n \"height\": 304.69360473583896,\n \"content\": \"Create a new Thread, save it to database and RUN\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"f13f45aa-47c9-4a76-a69c-f13f51d9434f\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 480,\n 440\n ],\n \"parameters\": {\n \"width\": 328.9155262250898,\n \"height\": 421.64797280574976,\n \"content\": \"UPDATE USER FILTER FOR DUPLICATION\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba0d0a2c-5014-44b8-a281-9d5014b78bcc\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 840,\n 440\n ],\n \"parameters\": {\n \"width\": 328.9155262250898,\n \"height\": 421.64797280574976,\n \"content\": \"Search for Thread ID in a database. \\n\\nThis database is maintaing references between messaging service thread id and OpenI Thread ID. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3d3562b5-631f-405c-b671-6856214f167f\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1200,\n 680\n ],\n \"parameters\": {\n \"width\": 636.6434938094908,\n \"height\": 304.69360473583896,\n \"content\": \"POST a new message to existing thread.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9ad1622c-5b42-4279-bf16-edf7bcbb5155\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1900,\n 320\n ],\n \"parameters\": {\n \"width\": 393.4831089305742,\n \"height\": 629.4777449641093,\n \"content\": \"Get Run Status:\\nIf still in progress, run again. \\nIf action needed go to respective action.\\nIf Completed, post message.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"e51965ef-7694-41b3-9c9a-9f78c00af3f3\",\n \"name\": \"Sticky Note9\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2538.191410231545,\n 840\n ],\n \"parameters\": {\n \"width\": 1361.867818730004,\n \"height\": 731.995091888263,\n \"content\": \"Run required actions based on Assistant answer and respond to Assistant with the function answer. \\n\\nEach route is a function that you need to define inside your assistant configuration.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"706fb261-724e-4c22-8def-24a320d213a2\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1280,\n 780\n ],\n \"parameters\": {\n \"text\": \"={{ $('getHubspotMessage').item.json[\\\"text\\\"] }}\",\n \"prompt\": \"define\",\n \"options\": {\n \"baseURL\": \"https://api.openai.com/v1/threads/{{ $('Airtable').item.json[\\\"OpenAI Thread ID\\\"] }}/messages\"\n },\n \"resource\": \"assistant\",\n \"assistantId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"asst_wVbEcnRttQ8K65DOV0fk1DJU\",\n \"cachedResultName\": \"Lista Firma Agent\"\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"sCh1Lrc1ZT8NVcgn\",\n \"name\": \"OpenAi Makeitfuture.eu\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"b8f686cc-33d6-4e99-987c-d1f91864e81d\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n -160,\n 600\n ],\n \"webhookId\": \"637d5b46-b35f-4943-92a2-864ddce170f4\",\n \"parameters\": {\n \"path\": \"hubspot-tinder\",\n \"options\": {},\n \"httpMethod\": \"POST\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"d9763b45-9092-490f-85b4-926354cdeb47\",\n \"connections\": {\n \"IF\": {\n \"main\": [\n [\n {\n \"node\": \"Airtable\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"IF1\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAi Create Thread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"IF2\": {\n \"main\": [\n [\n {\n \"node\": \"getHubspotMessage\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code\": {\n \"main\": [\n [\n {\n \"node\": \"Submit Data1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Code1\": {\n \"main\": [\n [\n {\n \"node\": \"Submit Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait2\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Wait3\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI Run1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Run\": {\n \"main\": [\n [\n {\n \"node\": \"Completed, Action or Inprogress\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"IF2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Airtable\": {\n \"main\": [\n [\n {\n \"node\": \"IF1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Run\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Run1\": {\n \"main\": [\n [\n {\n \"node\": \"Get Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Submit Data\": {\n \"main\": [\n [\n {\n \"node\": \"Wait2\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Code1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Submit Data1\": {\n \"main\": [\n [\n {\n \"node\": \"Wait3\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"createThread\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI Run\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request1\": {\n \"main\": [\n [\n {\n \"node\": \"Code\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select Function\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"HTTP Request1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Last Message\": {\n \"main\": [\n [\n {\n \"node\": \"respondHubspotMessage1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"getHubspotMessage\": {\n \"main\": [\n [\n {\n \"node\": \"IF\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAi Create Thread\": {\n \"main\": [\n [\n {\n \"node\": \"createThread\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Completed, Action or Inprogress\": {\n \"main\": [\n [\n {\n \"node\": \"Get Last Message\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Select Function\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Wait1\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Wait\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "OpenAI Assistant for Hubspot Chat", "node_count": 34, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for chat with postgresql database", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 11\n- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.postgresTool\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"eOUewYsEzJmQixI6\",\n \"meta\": {\n \"instanceId\": \"77c4feba8f41570ef06dc76ece9a6ded0f0d44f7f1477a64c2d71a8508c11faa\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Chat with Postgresql Database\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6501a54f-a68c-452d-b353-d7e871ca3780\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n -300,\n -80\n ],\n \"webhookId\": \"cf1de04f-3e38-426c-89f0-3bdb110a5dcf\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"cd32221b-2a36-408d-b57e-8115fcd810c9\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 0,\n -80\n ],\n \"parameters\": {\n \"agent\": \"openAiFunctionsAgent\",\n \"options\": {\n \"systemMessage\": \"You are DB assistant. You need to run queries in DB aligned with user requests.\\n\\nRun custom SQL query to aggregate data and response to user. Make sure every table has schema prefix to it in sql query which you can get from `Get DB Schema and Tables List` tool.\\n\\nFetch all data to analyse it for response if needed.\\n\\n## Tools\\n\\n- Execute SQL query - Executes any sql query generated by AI\\n- Get DB Schema and Tables List - Lists all the tables in database with its schema name\\n- Get Table Definition - Gets the table definition from db using table name and schema name\"\n }\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"8accbeeb-7eaf-4e9e-aabc-de8ab3a0459b\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n -60,\n 160\n ],\n \"parameters\": {\n \"model\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\"\n },\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"48uG61Ilo8jndw3r\",\n \"name\": \"Your OpenAI Account Credentials\"\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"11f2013f-a080-4c9e-8773-c90492e2c628\",\n \"name\": \"Get Table Definition\",\n \"type\": \"n8n-nodes-base.postgresTool\",\n \"position\": [\n 780,\n 140\n ],\n \"parameters\": {\n \"query\": \"select\\n c.column_name,\\n c.data_type,\\n c.is_nullable,\\n c.column_default,\\n tc.constraint_type,\\n ccu.table_name AS referenced_table,\\n ccu.column_name AS referenced_column\\nfrom\\n information_schema.columns c\\nLEFT join\\n information_schema.key_column_usage kcu\\n ON c.table_name = kcu.table_name\\n AND c.column_name = kcu.column_name\\nLEFT join\\n information_schema.table_constraints tc\\n ON kcu.constraint_name = tc.constraint_name\\n AND tc.constraint_type = 'FOREIGN KEY'\\nLEFT join\\n information_schema.constraint_column_usage ccu\\n ON tc.constraint_name = ccu.constraint_name\\nwhere\\n c.table_name = '{{ $fromAI(\\\"table_name\\\") }}'\\n AND c.table_schema = '{{ $fromAI(\\\"schema_name\\\") }}'\\norder by\\n c.ordinal_position\",\n \"options\": {},\n \"operation\": \"executeQuery\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get table definition to find all columns and types\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"nGI61D0TEEZz18rr\",\n \"name\": \"Your Postgresql Database Credentials\"\n }\n },\n \"typeVersion\": 2.5\n },\n {\n \"id\": \"760bc9bc-0057-4088-b3f0-3ee37b3519df\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -300,\n -240\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 560,\n \"height\": 120,\n \"content\": \"### 👨🎤 Setup\\n1. Add your **postgresql** and **OpenAI** credentials.\\n2. Click **Chat** button and start asking questions to your database.\\n3. Activate the workflow and you can make the chat publicly available.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0df33341-c859-4a54-b6d9-a99670e8d76d\",\n \"name\": \"Chat History\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 120,\n 160\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"4938b22e-f187-4ca0-b9f1-60835e823799\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 360,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 562,\n \"height\": 156,\n \"content\": \"🛠️ Tools Used:\\n1. Execute SQL Query: Used to execute any query generated by the agent.\\n2. Get DB Schema and Tables List: It returns the list of all the tables with its schema name.\\n3. Get Table Definition: It returns table details like column names, foreign keys and more of a particular table in a schema.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"39780c78-4fbc-403e-a220-aa6a4b06df8c\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n -100,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 162,\n \"height\": 99,\n \"content\": \"👆 You can exchange this with any other chat model of your choice.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"28a5692c-5003-46cb-9a09-b7867734f446\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 100,\n 300\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 162,\n \"height\": 159,\n \"content\": \"👆 You can change how many number of messages to keep using `Context Window Length` option. It's 5 by default.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c18ced71-6330-4ba0-9c52-1bb5852b3039\",\n \"name\": \"Execute SQL Query\",\n \"type\": \"n8n-nodes-base.postgresTool\",\n \"position\": [\n 380,\n 140\n ],\n \"parameters\": {\n \"query\": \"{{ $fromAI(\\\"sql_query\\\", \\\"SQL Query\\\") }}\",\n \"options\": {},\n \"operation\": \"executeQuery\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get all the data from Postgres, make sure you append the tables with correct schema. Every table is associated with some schema in the database.\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"nGI61D0TEEZz18rr\",\n \"name\": \"Your Postgresql Database Credentials\"\n }\n },\n \"typeVersion\": 2.5\n },\n {\n \"id\": \"557623c6-e499-48a6-a066-744f64f8b6f3\",\n \"name\": \"Get DB Schema and Tables List\",\n \"type\": \"n8n-nodes-base.postgresTool\",\n \"position\": [\n 580,\n 140\n ],\n \"parameters\": {\n \"query\": \"SELECT \\n table_schema,\\n table_name\\nFROM information_schema.tables\\nWHERE table_type = 'BASE TABLE'\\n AND table_schema NOT IN ('pg_catalog', 'information_schema')\\nORDER BY table_schema, table_name;\",\n \"options\": {},\n \"operation\": \"executeQuery\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get list of all tables with their schema in the database\"\n },\n \"credentials\": {\n \"postgres\": {\n \"id\": \"nGI61D0TEEZz18rr\",\n \"name\": \"Your Postgresql Database Credentials\"\n }\n },\n \"typeVersion\": 2.5\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"10c7c74e-b383-4ac7-8cb2-c9a15a2818fe\",\n \"connections\": {\n \"Chat History\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Execute SQL Query\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get Table Definition\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get DB Schema and Tables List\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Chat with Postgresql Database", "node_count": 11, "category": "General Automation"}} {"prompt": "How would you build: Generate Sql Queries From Schema Only Ai Powered?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 29\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.convertToFile, n8n-nodes-base.if, n8n-nodes-base.manualTrigger, n8n-nodes-base.extractFromFile, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"P307QnrxpA1ddsM5\",\n \"meta\": {\n \"instanceId\": \"fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"Generate SQL queries from schema only - AI-powered\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"b7c3ca47-11b3-4378-81fa-68b2f56b295e\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1460,\n 440\n ],\n \"parameters\": {\n \"model\": \"gpt-4o\",\n \"options\": {\n \"temperature\": 0.2\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"rveqdSfp7pCRON1T\",\n \"name\": \"Ted's Tech Talks OpenAi\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"977c3a82-440b-4d44-9042-47a673bcb52c\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1640,\n 440\n ],\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"c6e9c0e2-d238-4f0b-a4c8-2271f2c8b31b\",\n \"name\": \"No Operation, do nothing\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 2340,\n 520\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"4c141ae8-d2d1-45c7-bb5d-f33841d3cee6\",\n \"name\": \"List all tables in a database\",\n \"type\": \"n8n-nodes-base.mySql\",\n \"position\": [\n 520,\n -35\n ],\n \"parameters\": {\n \"query\": \"SHOW TABLES;\",\n \"options\": {},\n \"operation\": \"executeQuery\"\n },\n \"credentials\": {\n \"mySql\": {\n \"id\": \"ICakJ1LRuVl4dRTs\",\n \"name\": \"db4free TTT account\"\n }\n },\n \"typeVersion\": 2.4\n },\n {\n \"id\": \"54fb3362-041b-4e4f-bfea-f0bc788d8dfd\",\n \"name\": \"Extract database schema\",\n \"type\": \"n8n-nodes-base.mySql\",\n \"position\": [\n 700,\n -35\n ],\n \"parameters\": {\n \"query\": \"DESCRIBE {{ $json.Tables_in_tttytdb2023 }};\",\n \"options\": {},\n \"operation\": \"executeQuery\"\n },\n \"credentials\": {\n \"mySql\": {\n \"id\": \"ICakJ1LRuVl4dRTs\",\n \"name\": \"db4free TTT account\"\n }\n },\n \"typeVersion\": 2.4\n },\n {\n \"id\": \"d55e841d-11ed-4ce2-8c8e-840bd807ff2c\",\n \"name\": \"Add table name to output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 880,\n -35\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"764176d6-3c89-404d-9c71-301e8a406a68\",\n \"name\": \"table\",\n \"type\": \"string\",\n \"value\": \"={{ $('List all tables in a database').item.json.Tables_in_tttytdb2023 }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"ca8d30d6-c1f1-4e89-8cd5-ea3648dc3b0c\",\n \"name\": \"Convert data to binary\",\n \"type\": \"n8n-nodes-base.convertToFile\",\n \"position\": [\n 1060,\n -35\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"toJson\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"2d89f901-d4e7-4fea-bd69-20b518280bbc\",\n \"name\": \"Save file locally\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1220,\n -35\n ],\n \"parameters\": {\n \"options\": {},\n \"fileName\": \"./chinook_mysql.json\",\n \"operation\": \"write\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"04511c4f-44fa-4c23-87af-54d959e6cb2c\",\n \"name\": \"Extract data from file\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 920,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"fromJson\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"96f129c0-d1d4-4cbf-a24d-0b0cea18a229\",\n \"name\": \"Chat Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 440,\n 420\n ],\n \"webhookId\": \"c308dec7-655c-4b79-832e-991bd8ea891f\",\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"4d993ed9-3bbe-4bc3-9e5b-c3d738b0e714\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1480,\n 300\n ],\n \"parameters\": {\n \"text\": \"=Here is the database schema: {{ $json.schema }}\\nHere is the user request: {{ $('Chat Trigger').item.json.chatInput }}\",\n \"agent\": \"conversationalAgent\",\n \"options\": {\n \"humanMessage\": \"TOOLS\\n------\\nAssistant can ask the user to use tools to look up information that may be helpful in answering the users original question. The tools the human can use are:\\n\\n{tools}\\n\\n{format_instructions}\\n\\nUSER'S INPUT\\n--------------------\\nHere is the user's input (remember to respond with a markdown code snippet of a json blob with a single action, and NOTHING else):\\n\\n{{input}}\",\n \"systemMessage\": \"Assistant is a large language model trained by OpenAI.\\n\\nAssistant is designed to be able to assist with a wide range of tasks, from answering simple questions to providing in-depth explanations and discussions on a wide range of topics. As a language model, Assistant is able to generate human-like text based on the input it receives, allowing it to engage in natural-sounding conversations and provide responses that are coherent and relevant to the topic at hand.\\n\\nAssistant is constantly learning and improving, and its capabilities are constantly evolving. It is able to process and understand large amounts of text, and can use this knowledge to provide accurate and informative responses to a wide range of questions. Additionally, Assistant is able to generate its own text based on the input it receives, allowing it to engage in discussions and provide explanations and descriptions on a wide range of topics.\\n\\nOverall, Assistant is a powerful system that can help with a wide range of tasks and provide valuable insights and information on a wide range of topics. Whether you need help with a specific question or just want to have a conversation about a particular topic, Assistant is here to assist.\\n\\nHelp user to work with the MySQL database.\\n\\nPlease wrap any sql commands into triple quotes. You don't have a tool to run SQL, so the user will do that instead of you.\"\n },\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"f5749b31-b28a-4341-b57f-94ee422d2873\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 320,\n -280\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 1065.0949045120822,\n \"height\": 466.4256045427794,\n \"content\": \"## Run this part only once\\nThis section:\\n* loads a list of all tables from the database hosted on [db4free](https://db4free.net/signup.php) \\n* extracts the database schema for each table and adds the table name\\n* converts the schema into a binary JSON format\\n* saves the schema `./chinook_mysql.json` file locally\\n\\n***Now you can use chat to \\\"talk\\\" to your data!*** 🎉\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6606abc9-1dcb-4dba-b7ef-e221f892eed8\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1040,\n -255\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 312.47220527158765,\n \"height\": 174.60585869504342,\n \"content\": \"## Pre-workflow setup \\nConnect to a free MySQL server and import your database. Follow Step 1 and 2 in this [tutorial](https://blog.n8n.io/compare-databases/) for more.\\n\\n*The Chinook data used in this workflow is available on [GitHub](https://github.com/msimanga/chinook/tree/master/mysql).* \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c8ac730a-04ee-499d-b845-1149967d6aa2\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 360,\n -35\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"6f0b167c-e012-43e1-9892-ded05be47cf8\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 324.32561050665913,\n 209.72072645338642\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 1062.678698911262,\n \"height\": 489.29614613074125,\n \"content\": \"## On every chat message:\\n\\n* The workflow gets the data from the local schema file and extracts it as a JSON object. This way, we achieve two important improvements:\\n * faster processing time as we don't need to fetch the schema for each table from a slow remote database\\n * the Agent will know database structure without seeing the actual data\\n* DB schema is then converted into a long string, JSON fields from the Chat Trigger are added before they are entered into the Agent node.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3a79350c-aec1-4ad4-a2e0-679957fa420b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1400,\n -15.552780029374958\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 445.66588600071304,\n \"height\": 714.7896619176862,\n \"content\": \"### LangChain AI Agent's system prompt is modified.\\nIt uses only the database schema to generate SQL queries. The agent creates these queries but does not execute them. Instead, it passes them to subsequent nodes.\\n\\n**Example:**\\n\\\"Can you show me the list of all German customers?\\\" \\n\\nQueries are generated only when necessary; for some requests, a query may not be needed. This is because certain questions can be answered directly without SQL execution.\\n\\n**Example:**\\n\\\"Can you list me all tables?\\\"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0cd425db-2a8e-4f48-b749-9a082e948395\",\n \"name\": \"Combine schema data and chat input\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1140,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"42abd24e-419a-47d6-bc8b-7146dd0b8314\",\n \"name\": \"sessionId\",\n \"type\": \"string\",\n \"value\": \"={{ $('Chat Trigger').first().json.sessionId }}\"\n },\n {\n \"id\": \"39244192-a1a6-42fe-bc75-a6fba1f264df\",\n \"name\": \"action\",\n \"type\": \"string\",\n \"value\": \"={{ $('Chat Trigger').first().json.action }}\"\n },\n {\n \"id\": \"f78c57d9-df13-43c7-89a7-5387e528107e\",\n \"name\": \"chatinput\",\n \"type\": \"string\",\n \"value\": \"={{ $('Chat Trigger').first().json.chatInput }}\"\n },\n {\n \"id\": \"e42b39eb-dfbd-48d9-94ed-d658bdd41454\",\n \"name\": \"schema\",\n \"type\": \"string\",\n \"value\": \"={{ $json.data }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"e4045e33-bb87-488d-8ccf-b4a94339a841\",\n \"name\": \"Load the schema from the local file\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 680,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"./chinook_mysql.json\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"367ebe95-0b87-44f6-8392-33fe65446c24\",\n \"name\": \"Extract SQL query\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1900,\n 340\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"ebbe194a-4b8b-44c9-ac19-03cf69d353bf\",\n \"name\": \"query\",\n \"type\": \"string\",\n \"value\": \"={{ ($json.output.match(/SELECT[\\\\s\\\\S]*?;/i) || [])[0] || \\\"\\\" }}\"\n }\n ]\n },\n \"includeOtherFields\": true\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"b856fe78-2435-4075-97f8-ecbeecf3e780\",\n \"name\": \"Check if query exists\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 2060,\n 340\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"2963d04d-9d79-49f9-b52a-dc8732aca781\",\n \"operator\": {\n \"type\": \"string\",\n \"operation\": \"notEmpty\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.query }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"87162d31-2f6c-4f4a-af28-c65cbadd8ed5\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1874,\n 220.45316744685329\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 317.8901548206743,\n \"height\": 278.8174358200552,\n \"content\": \"## SQL query extraction\\nCheck if the agent's response contains an SQL query. If it does, we extract the query using a regular expression.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b3e77333-eaa9-4d23-a78c-8a19ae074739\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1860,\n -16.43746604251737\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 882.7611828369563,\n \"height\": 715.7029266156915,\n \"content\": \"\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"269ea79d-5f17-4764-aebb-bba31b43d8bb\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1580,\n 580\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 257.46308756569573,\n \"height\": 108.03673727584527,\n \"content\": \"The AI Agent remembers the schema, questions, and final answers, but not data values, since queries run externally. The agent can't access database content. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2fd1175c-4110-48be-b6bf-2251c678bc04\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2420,\n 0\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 308.8514666587585,\n \"height\": 123.43139661532095,\n \"content\": \"- The SQL node accesses the database and executes the query. The results are then formatted for readability.\\n- Both the chat response and the query result are displayed in the chat window.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"61ae7f7c-1424-4ecb-8a12-78cd98e94d45\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2480,\n 600\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 250.40895053328057,\n \"height\": 89.90186716520257,\n \"content\": \"When the agent responds without an SQL query, you receive an immediate answer with no additional processing.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cbb6d1e1-0a75-4b3a-89cd-6bd545b8d414\",\n \"name\": \"Format query results\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2420,\n 140\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"f944d21f-6aac-4842-8926-4108d6cad4bf\",\n \"name\": \"sqloutput\",\n \"type\": \"string\",\n \"value\": \"={{ Object.keys($jmespath($input.all(),'[].json')[0]).join(' | ') }} \\n{{ ($jmespath($input.all(),'[].json')).map(obj => Object.values(obj).join(' | ')).join('\\\\n') }}\"\n }\n ]\n }\n },\n \"executeOnce\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"d958de24-84ef-4928-a7f3-32cada09a0eb\",\n \"name\": \"Run SQL query\",\n \"type\": \"n8n-nodes-base.mySql\",\n \"position\": [\n 2260,\n 140\n ],\n \"parameters\": {\n \"query\": \"{{ $json.query }}\",\n \"options\": {},\n \"operation\": \"executeQuery\"\n },\n \"credentials\": {\n \"mySql\": {\n \"id\": \"ICakJ1LRuVl4dRTs\",\n \"name\": \"db4free TTT account\"\n }\n },\n \"typeVersion\": 2.4\n },\n {\n \"id\": \"99a6dc03-1035-4866-81e4-11dc66bf98ec\",\n \"name\": \"Prepare final output\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2560,\n 420\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"aa55e186-1535-4923-aee4-e088ca69575b\",\n \"name\": \"output\",\n \"type\": \"string\",\n \"value\": \"={{ $json.output }}\\n\\nSQL result:\\n```markdown\\n{{ $json.sqloutput }}\\n```\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9380c2f6-15d9-43e4-80a2-3019bcf5ae04\",\n \"name\": \"Combine query result and chat answer\",\n \"type\": \"n8n-nodes-base.merge\",\n \"position\": [\n 2340,\n 340\n ],\n \"parameters\": {\n \"mode\": \"combine\",\n \"options\": {},\n \"combineBy\": \"combineByPosition\"\n },\n \"typeVersion\": 3\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"15049b13-91cb-46bd-a7a0-ad648b6f667a\",\n \"connections\": {\n \"AI Agent\": {\n \"main\": [\n [\n {\n \"node\": \"Extract SQL query\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Chat Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Load the schema from the local file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Run SQL query\": {\n \"main\": [\n [\n {\n \"node\": \"Format query results\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract SQL query\": {\n \"main\": [\n [\n {\n \"node\": \"Check if query exists\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Format query results\": {\n \"main\": [\n [\n {\n \"node\": \"Combine query result and chat answer\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Check if query exists\": {\n \"main\": [\n [\n {\n \"node\": \"Run SQL query\",\n \"type\": \"main\",\n \"index\": 0\n },\n {\n \"node\": \"Combine query result and chat answer\",\n \"type\": \"main\",\n \"index\": 1\n }\n ],\n [\n {\n \"node\": \"No Operation, do nothing\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Convert data to binary\": {\n \"main\": [\n [\n {\n \"node\": \"Save file locally\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract data from file\": {\n \"main\": [\n [\n {\n \"node\": \"Combine schema data and chat input\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract database schema\": {\n \"main\": [\n [\n {\n \"node\": \"Add table name to output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Add table name to output\": {\n \"main\": [\n [\n {\n \"node\": \"Convert data to binary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"List all tables in a database\": {\n \"main\": [\n [\n {\n \"node\": \"Extract database schema\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"List all tables in a database\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine schema data and chat input\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Load the schema from the local file\": {\n \"main\": [\n [\n {\n \"node\": \"Extract data from file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine query result and chat answer\": {\n \"main\": [\n [\n {\n \"node\": \"Prepare final output\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Generate SQL queries from schema only - AI-powered", "node_count": 29, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 8\n- Node Types: n8n-nodes-base.mongoDbTool, @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.toolWorkflow, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.chatTrigger\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"22PddLUgcjSJbT1w\",\n \"meta\": {\n \"instanceId\": \"fa7d5e2425ec76075df7100dbafffed91cc6f71f12fe92614bf78af63c54a61d\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"MongoDB Agent\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"d8c07efe-eca0-48cb-80e6-ea8117073c5f\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1300,\n 560\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"TreGPMKr9hrtCvVp\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"636de178-7b68-429a-9371-41cf2a950076\",\n \"name\": \"MongoDBAggregate\",\n \"type\": \"n8n-nodes-base.mongoDbTool\",\n \"position\": [\n 1640,\n 540\n ],\n \"parameters\": {\n \"query\": \"={{ $fromAI(\\\"pipeline\\\", \\\"The MongoDB pipeline to execute\\\" , \\\"string\\\" , [{\\\"$match\\\" : { \\\"rating\\\" : 5 } }])}}\",\n \"operation\": \"aggregate\",\n \"collection\": \"movies\",\n \"descriptionType\": \"manual\",\n \"toolDescription\": \"Get from AI the MongoDB Aggregation pipeline to get context based on the provided pipeline, the document structure of the documents is : {\\n \\\"plot\\\": \\\"A group of bandits stage a brazen train hold-up, only to find a determined posse hot on their heels.\\\",\\n \\\"genres\\\": [\\n \\\"Short\\\",\\n \\\"Western\\\"\\n ],\\n \\\"runtime\\\": 11,\\n \\\"cast\\\": [\\n \\\"A.C. Abadie\\\",\\n \\\"Gilbert M. 'Broncho Billy' Anderson\\\",\\n ...\\n ],\\n \\\"poster\\\": \\\"...jpg\\\",\\n \\\"title\\\": \\\"The Great Train Robbery\\\",\\n \\\"fullplot\\\": \\\"Among the earliest existing films in American cinema - notable as the ...\\\",\\n \\\"languages\\\": [\\n \\\"English\\\"\\n ],\\n \\\"released\\\": \\\"date\\\"\\n },\\n \\\"directors\\\": [\\n \\\"Edwin S. Porter\\\"\\n ],\\n \\\"rated\\\": \\\"TV-G\\\",\\n \\\"awards\\\": {\\n \\\"wins\\\": 1,\\n \\\"nominations\\\": 0,\\n \\\"text\\\": \\\"1 win.\\\"\\n },\\n \\\"lastupdated\\\": \\\"2015-08-13 00:27:59.177000000\\\",\\n \\\"year\\\": 1903,\\n \\\"imdb\\\": {\\n \\\"rating\\\": 7.4,\"\n },\n \"credentials\": {\n \"mongoDb\": {\n \"id\": \"8xGgiXzf2o0L4a0y\",\n \"name\": \"MongoDB account\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"e0f248dc-22b7-40a2-a00e-6298b51e4470\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1500,\n 540\n ],\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"da27ee52-43db-4818-9844-3c0a064bf958\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 1160,\n 400\n ],\n \"webhookId\": \"0730df2d-2f90-45e0-83dc-609668260fda\",\n \"parameters\": {\n \"mode\": \"webhook\",\n \"public\": true,\n \"options\": {\n \"allowedOrigins\": \"*\"\n }\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"9ad79da9-3145-44be-9026-e37b0e856f5d\",\n \"name\": \"insertFavorite\",\n \"type\": \"@n8n/n8n-nodes-langchain.toolWorkflow\",\n \"position\": [\n 1860,\n 520\n ],\n \"parameters\": {\n \"name\": \"insertFavorites\",\n \"workflowId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"6QuKnOrpusQVu66Q\",\n \"cachedResultName\": \"insertMongoDB\"\n },\n \"description\": \"=Use this tool only to add favorites with the structure of {\\\"title\\\" : \\\"recieved title\\\" }\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"4d7713d1-d2ad-48bf-971b-b86195e161ca\",\n \"name\": \"AI Agent - Movie Recommendation\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1380,\n 300\n ],\n \"parameters\": {\n \"text\": \"=Assistant for best movies context, you have tools to search using \\\"MongoDBAggregate\\\" and you need to provide a MongoDB aggregation pipeline code array as a \\\"query\\\" input param. User input and request: {{ $json.chatInput }}. Only when a user confirms a favorite movie use the insert favorite using the \\\"insertFavorite\\\" workflow tool of to insertFavorite as { \\\"title\\\" : \\\" \\\" }.\",\n \"options\": {},\n \"promptType\": \"define\"\n },\n \"typeVersion\": 1.7\n },\n {\n \"id\": \"2eac8aed-9677-4d89-bd76-456637f5b979\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 880,\n 300\n ],\n \"parameters\": {\n \"width\": 216.0875923062025,\n \"height\": 499.89779507612025,\n \"content\": \"## AI Agent powered by OpenAI and MongoDB \\n\\nThis flow is designed to work as an AI autonomous agent that can get chat messages, query data from MongoDB using the aggregation framework.\\n\\nFollowing by augmenting the results from the sample movies collection and allowing storing my favorite movies back to the database using an \\\"insert\\\" flow. \"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4d8130fe-4aed-4e09-9c1d-60fb9ac1a500\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1300,\n 720\n ],\n \"parameters\": {\n \"content\": \"## Process\\n\\nThe message is being processed by the \\\"Chat Model\\\" and the correct tool is used according to the message. \"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": true,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"879aab24-6346-435f-8fd4-3fca856ba64c\",\n \"connections\": {\n \"insertFavorite\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"MongoDBAggregate\": {\n \"ai_tool\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_tool\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent - Movie Recommendation\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "MongoDB Agent", "node_count": 8, "category": "General Automation"}} {"prompt": "How would you build: Supabase Insertion & Upsertion & Retrieval?", "response": "# Workflow Architecture\n\n**Purpose**: Data Processing + Database\n\n**Key Components**:\n- Total Nodes: 21\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.supabase, @n8n/n8n-nodes-langchain.chainRetrievalQa, @n8n/n8n-nodes-langchain.documentDefaultDataLoader, @n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.retrieverVectorStore\n\n**Logic Flow**:\n1. **Trigger**: @n8n/n8n-nodes-langchain.chatTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"meta\": {\n \"instanceId\": \"1a23006df50de49624f69e85993be557d137b6efe723a867a7d68a84e0b32704\"\n },\n \"nodes\": [\n {\n \"id\": \"54065cc9-047c-4741-95f6-cec3e352abd7\",\n \"name\": \"Google Drive\",\n \"type\": \"n8n-nodes-base.googleDrive\",\n \"position\": [\n 2700,\n -1840\n ],\n \"parameters\": {\n \"fileId\": {\n \"__rl\": true,\n \"mode\": \"url\",\n \"value\": \"https://drive.google.com/file/d/xxxxxxxxxxxxxxx/view\"\n },\n \"options\": {},\n \"operation\": \"download\"\n },\n \"typeVersion\": 3\n },\n {\n \"id\": \"62af57f5-a001-4174-bece-260a1fc595e8\",\n \"name\": \"Default Data Loader\",\n \"type\": \"@n8n/n8n-nodes-langchain.documentDefaultDataLoader\",\n \"position\": [\n 3120,\n -1620\n ],\n \"parameters\": {\n \"loader\": \"epubLoader\",\n \"options\": {},\n \"dataType\": \"binary\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ce3d9c7c-6ce9-421a-b4d0-4235217cf8e6\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2620,\n -2000\n ],\n \"parameters\": {\n \"width\": 749.1276349295781,\n \"height\": 820.5109034066329,\n \"content\": \"# INSERTING\\n\\n- it's important to use the same embedding model when for any interaction with your vector database (inserting, upserting and retrieval)\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"81cb3d3e-70af-46c8-bc18-3d076a222d0b\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1720,\n -1160\n ],\n \"parameters\": {\n \"color\": 3,\n \"width\": 873.9739981925188,\n \"height\": 534.0012007720542,\n \"content\": \"# UPSERTING\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"60ebdb71-c7e0-429b-9394-b680cc000951\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1720,\n -2000\n ],\n \"parameters\": {\n \"color\": 4,\n \"width\": 876.5116990000852,\n \"height\": 821.787041589866,\n \"content\": \"# PREPARATION (in Supabase)\\n\\n- your database needs the extension 'pgvector' enabled -> select Database > Extension > Search for 'vector'\\n- make sure you have a table that has the following columns (if not, use the query below in the Supabase SQL Editor)\\n\\n```\\nALTER TABLE \\\"YOUR TABLE NAME\\\"\\nADD COLUMN embedding VECTOR(1536), // check which number of dimensions you need (depends on the embed model)\\nADD COLUMN metadata JSONB,\\nADD COLUMN content TEXT;\\n```\\n\\n- make sure you have the right policies set -> select Authentication > Policies\\n- make sure you have the custom function `match_documents` set up in Supabase -> This is needed for the Vector Store Node (as query name) \\n(if not, use the query below in the Supabase SQL Editor to create that function)\\n- make sure you check the size of the AI model as it should be the same vector size for the table \\n(e.g. OpenAI's Text-Embedding-3-Small uses 1536)\\n\\n```\\nCREATE OR REPLACE FUNCTION public.match_documents(\\n filter JSONB,\\n match_count INT,\\n query_embedding VECTOR(1536) // should match same dimensions as from insertion\\n)\\nRETURNS TABLE (\\n id BIGINT,\\n content TEXT,\\n metadata JSONB,\\n embedding VECTOR(1536), // should match same dimensions as from insertion\\n similarity FLOAT\\n)\\nLANGUAGE plpgsql AS $$\\nBEGIN\\n RETURN QUERY\\n SELECT\\n v.id,\\n v.content,\\n v.metadata,\\n v.embedding,\\n 1 - (v.embedding <=> match_documents.query_embedding) AS similarity\\n FROM \\\"YOUR TABLE NAME\\\" v\\n WHERE v.metadata @> filter\\n ORDER BY v.embedding <=> match_documents.query_embedding\\n LIMIT match_count;\\nEND;\\n$$\\n;\\n```\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ae95b0c3-b8b3-44eb-8070-b1bc6cac5cd2\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3400,\n -2000\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 810.9488123113013,\n \"height\": 821.9537074055816,\n \"content\": \"# RETRIEVAL\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"58168721-cbd7-498c-9d16-41b4d5c6a68f\",\n \"name\": \"Question and Answer Chain\",\n \"type\": \"@n8n/n8n-nodes-langchain.chainRetrievalQa\",\n \"position\": [\n 3680,\n -1860\n ],\n \"parameters\": {},\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"ddf1228f-f051-445b-8a42-54c2510a0b2e\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 3600,\n -1680\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"734a2c48-b445-4e62-99b7-dc1dcd921c52\",\n \"name\": \"Vector Store Retriever\",\n \"type\": \"@n8n/n8n-nodes-langchain.retrieverVectorStore\",\n \"position\": [\n 3760,\n -1680\n ],\n \"parameters\": {\n \"topK\": 10\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"43f761b7-f4da-4b29-8099-9b2c15f79fe9\",\n \"name\": \"Recursive Character Text Splitter1\",\n \"type\": \"@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter\",\n \"position\": [\n 3120,\n -1460\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"de0d2666-88e4-4a4d-ba46-cf789b9cba85\",\n \"name\": \"Customize Response\",\n \"type\": \"n8n-nodes-base.set\",\n \"notes\": \"output || text\",\n \"position\": [\n 4020,\n -1860\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"440fc115-ccae-4e30-85a5-501d0617b2cf\",\n \"name\": \"output\",\n \"type\": \"string\",\n \"value\": \"={{ $json.response.text }}\"\n }\n ]\n }\n },\n \"notesInFlow\": true,\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"a396671f-a217-4f05-b969-cb64f10e4b01\",\n \"name\": \"When chat message received\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 3480,\n -1860\n ],\n \"webhookId\": \"d7431c58-89aa-4d70-b5bd-044be981b3a9\",\n \"parameters\": {\n \"public\": true,\n \"options\": {\n \"responseMode\": \"lastNode\"\n },\n \"initialMessages\": \"=Hi there! 🙏\\n\\nYou can ask me anything about Venerable Geshe Kelsang Gyatso's Book - 'How To Transform Your Life'\\n\\nWhat would you like to know? \"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"6312f6bc-c69c-4d4f-8838-8a9d0d22ed55\",\n \"name\": \"Retrieve by Query\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"position\": [\n 3700,\n -1520\n ],\n \"parameters\": {\n \"options\": {\n \"queryName\": \"match_documents\"\n },\n \"tableName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"Kadampa\",\n \"cachedResultName\": \"Kadampa\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ba6b87b9-e96d-47a3-83f8-169d7172325a\",\n \"name\": \"Embeddings OpenAI Retrieval\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 3700,\n -1360\n ],\n \"parameters\": {\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"bcd1b31f-c60b-4c40-b039-d47dadc86b23\",\n \"name\": \"Embeddings OpenAI Insertion\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 2920,\n -1620\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"dfd7f734-eb00-4af3-9179-724503422fe4\",\n \"name\": \"Placeholder (File/Content to Upsert)\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1900,\n -1000\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {},\n \"jsonOutput\": \"={\\n \\\"Date\\\": \\\"{{ $now.format('dd MMM yyyy') }}\\\",\\n \\\"Time\\\": \\\"{{ $now.format('HH:mm ZZZZ z') }}\\\"\\n}\\n\"\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"c54c9458-9b8a-4ef1-a6db-5265729be19d\",\n \"name\": \"Embeddings OpenAI Upserting\",\n \"type\": \"@n8n/n8n-nodes-langchain.embeddingsOpenAi\",\n \"position\": [\n 2120,\n -840\n ],\n \"parameters\": {\n \"model\": \"text-embedding-3-small\",\n \"options\": {}\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"30c18e9e-d047-40d3-8324-f5d0e7892db6\",\n \"name\": \"Insert Documents\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"position\": [\n 2920,\n -1840\n ],\n \"parameters\": {\n \"mode\": \"insert\",\n \"options\": {},\n \"tableName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"Kadampa\",\n \"cachedResultName\": \"Kadampa\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"3c0ed0ee-9134-4b4e-bcfd-632dd67a57da\",\n \"name\": \"Retrieve Rows from Table\",\n \"type\": \"n8n-nodes-base.supabase\",\n \"position\": [\n 3960,\n -1380\n ],\n \"parameters\": {\n \"tableId\": \"n8n\",\n \"operation\": \"getAll\",\n \"returnAll\": true\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"53aca1b4-31e8-4699-b158-673623bc9b95\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2620,\n -1160\n ],\n \"parameters\": {\n \"color\": 6,\n \"width\": 1587.0771183771394,\n \"height\": 537.3056597675153,\n \"content\": \"# DELETION\\n\\nAt the moment n8n does not have a built-in Supabase Node to delete records in a Vector Database. For this you would typically use the HTTP Request node to make an authorized API call to Supabase. \\n\\n## HTTP Request Node\\n\\nUse this node to send a DELETE request to your Supabase instance.\\n\\n- Supabase API Endpoint: Use the appropriate URL for your Supabase project. The endpoint will typically look like this: [https://<your-supabase-ref>.supabase.co/rest/v1/<your-vector-table>](https://supabase.com/docs/guides/api). Replace `<your-supabase-ref>` and `<your-vector-table>` with your details.\\n### HEADERS:\\n- apikey: Your Supabase API key.\\n- Authorization: Bearer token with your Supabase JWT.\\n- Query Parameters: Use query parameters to specify which record(s) to delete. For example, `?id=eq.<your-record-id>` where `<your-record-id>` is the specific record ID you want to delete \\n(You can also reference back to the **Retrieve Rows From Table** Node to get the ID dynamically)\\n\\nEnsure you have the necessary permissions set up in Supabase to delete records through the API.\\n\\nPlease refer to the official n8n documentation for more detailed information on using the [HTTP Request Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.httprequest/).\\n\\n_Note:_ Deleting records is a sensitive operation, so make sure that your permissions are correctly configured and that you are targeting the correct records to avoid unwanted data loss.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4ffaccdb-9e0f-464d-9284-7771f6599fd8\",\n \"name\": \"Update Documents\",\n \"type\": \"@n8n/n8n-nodes-langchain.vectorStoreSupabase\",\n \"position\": [\n 2100,\n -1000\n ],\n \"parameters\": {\n \"id\": \"1\",\n \"mode\": \"update\",\n \"options\": {\n \"queryName\": \"match_documents\"\n },\n \"tableName\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"n8n\",\n \"cachedResultName\": \"n8n\"\n }\n },\n \"typeVersion\": 1\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"Google Drive\": {\n \"main\": [\n [\n {\n \"node\": \"Insert Documents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve by Query\": {\n \"ai_vectorStore\": [\n [\n {\n \"node\": \"Vector Store Retriever\",\n \"type\": \"ai_vectorStore\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Default Data Loader\": {\n \"ai_document\": [\n [\n {\n \"node\": \"Insert Documents\",\n \"type\": \"ai_document\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Vector Store Retriever\": {\n \"ai_retriever\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"ai_retriever\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Question and Answer Chain\": {\n \"main\": [\n [\n {\n \"node\": \"Customize Response\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When chat message received\": {\n \"main\": [\n [\n {\n \"node\": \"Question and Answer Chain\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI Insertion\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Insert Documents\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI Retrieval\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Retrieve by Query\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Embeddings OpenAI Upserting\": {\n \"ai_embedding\": [\n [\n {\n \"node\": \"Update Documents\",\n \"type\": \"ai_embedding\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Recursive Character Text Splitter1\": {\n \"ai_textSplitter\": [\n [\n {\n \"node\": \"Default Data Loader\",\n \"type\": \"ai_textSplitter\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Placeholder (File/Content to Upsert)\": {\n \"main\": [\n [\n {\n \"node\": \"Update Documents\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Supabase Insertion & Upsertion & Retrieval", "node_count": 21, "category": "Data Processing + Database"}} {"prompt": "Design a workflow using @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow to sql agent with memory", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 13\n- Node Types: @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.compression, n8n-nodes-base.manualTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.chatTrigger, n8n-nodes-base.readWriteFile\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"AQJ6QnF2yVdCWMnx\",\n \"meta\": {\n \"instanceId\": \"fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a\",\n \"templateCredsSetupCompleted\": true\n },\n \"name\": \"SQL agent with memory\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"3544950e-4d8e-46ca-8f56-61c152a5cae3\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 1220,\n 500\n ],\n \"parameters\": {\n \"contextWindowLength\": 10\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"743cc4e7-5f24-4adc-b872-7241ee775bd0\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1000,\n 500\n ],\n \"parameters\": {\n \"model\": \"gpt-4-turbo\",\n \"options\": {\n \"temperature\": 0.3\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"rveqdSfp7pCRON1T\",\n \"name\": \"Ted's Tech Talks OpenAi\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"cc30066c-ad2c-4729-82c1-a6b0f4214dee\",\n \"name\": \"When clicking \\\"Test workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 500,\n -80\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0deacd0d-45cb-4738-8da0-9d1251858867\",\n \"name\": \"Get chinook.zip example\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 700,\n -80\n ],\n \"parameters\": {\n \"url\": \"https://www.sqlitetutorial.net/wp-content/uploads/2018/03/chinook.zip\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"61f34708-f8ed-44a9-8522-6042d28511ae\",\n \"name\": \"Extract zip file\",\n \"type\": \"n8n-nodes-base.compression\",\n \"position\": [\n 900,\n -80\n ],\n \"parameters\": {},\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"6a12d9ac-f1b7-4267-8b34-58cdb9d347bb\",\n \"name\": \"Save chinook.db locally\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 1100,\n -80\n ],\n \"parameters\": {\n \"options\": {},\n \"fileName\": \"./chinook.db\",\n \"operation\": \"write\",\n \"dataPropertyName\": \"file_0\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"701d1325-4186-4185-886a-3738163db603\",\n \"name\": \"Load local chinook.db\",\n \"type\": \"n8n-nodes-base.readWriteFile\",\n \"position\": [\n 620,\n 360\n ],\n \"parameters\": {\n \"options\": {},\n \"fileSelector\": \"./chinook.db\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d7b3813d-8180-4ff1-87a4-bd54a03043af\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 440,\n -280.9454545454546\n ],\n \"parameters\": {\n \"width\": 834.3272727272731,\n \"height\": 372.9454545454546,\n \"content\": \"## Run this part only once\\nThis section:\\n* downloads the example zip file from https://www.sqlitetutorial.net/sqlite-sample-database/\\n* extracts the archive (it contains only a single file)\\n* saves the extracted `chinook.db` SQLite database locally\\n\\nNow you can use chat to \\\"talk\\\" to your data!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6bd25563-2c59-44c2-acf9-407bd28a15cf\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 400,\n 240\n ],\n \"parameters\": {\n \"width\": 558.5454545454544,\n \"height\": 297.89090909090913,\n \"content\": \"## On every chat message:\\n* the local SQLite database is loaded\\n* JSON from Chat Trigger is combined with SQLite binary data\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"2be63956-236e-46f7-b8e4-0f55e2e25a5c\",\n \"name\": \"Combine chat input with the binary\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 820,\n 360\n ],\n \"parameters\": {\n \"mode\": \"raw\",\n \"options\": {\n \"includeBinary\": true\n },\n \"jsonOutput\": \"={{ $('Chat Trigger').item.json }}\\n\"\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"7f4c9adb-eab4-40d7-ad2e-44f2c0e3e30a\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 980,\n 120\n ],\n \"parameters\": {\n \"width\": 471.99692219161466,\n \"height\": 511.16641410437836,\n \"content\": \"### LangChain SQL Agent can make several queries before producing the final answer.\\nTry these examples:\\n1. \\\"Please describe the database\\\". This input usually requires just 1 query + an extra observation to produce a final answer.\\n2. \\\"What are the revenues by genre?\\\". This input will launch a series of Agent actions, because it needs to make several queries.\\n\\nThe final answer is stored in the memory and will be recalled on the next input from the user.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ac819eb5-13b2-4280-b9d6-06ec1209700e\",\n \"name\": \"AI Agent\",\n \"type\": \"@n8n/n8n-nodes-langchain.agent\",\n \"position\": [\n 1020,\n 360\n ],\n \"parameters\": {\n \"agent\": \"sqlAgent\",\n \"options\": {},\n \"dataSource\": \"sqlite\"\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"5ecaa3eb-e93e-4e41-bbc0-98a8c2b2d463\",\n \"name\": \"Chat Trigger\",\n \"type\": \"@n8n/n8n-nodes-langchain.chatTrigger\",\n \"position\": [\n 420,\n 360\n ],\n \"webhookId\": \"fb565f08-a459-4ff9-8249-1ede58599660\",\n \"parameters\": {},\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"fbc06ddd-dbd8-49ee-bbee-2f495d5651a2\",\n \"connections\": {\n \"Chat Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Load local chinook.db\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Extract zip file\": {\n \"main\": [\n [\n {\n \"node\": \"Save chinook.db locally\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Window Buffer Memory\": {\n \"ai_memory\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"ai_memory\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Load local chinook.db\": {\n \"main\": [\n [\n {\n \"node\": \"Combine chat input with the binary\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Get chinook.zip example\": {\n \"main\": [\n [\n {\n \"node\": \"Extract zip file\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Test workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Get chinook.zip example\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Combine chat input with the binary\": {\n \"main\": [\n [\n {\n \"node\": \"AI Agent\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "SQL agent with memory", "node_count": 13, "category": "General Automation"}} {"prompt": "How would you build: Discord Ai Bot?", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 9\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.switch, n8n-nodes-base.manualTrigger, n8n-nodes-base.webhook, n8n-nodes-base.discord, n8n-nodes-base.noOp, n8n-nodes-base.openAi\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.manualTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"180\",\n \"meta\": {\n \"instanceId\": \"fb924c73af8f703905bc09c9ee8076f48c17b596ed05b18c0ff86915ef8a7c4a\"\n },\n \"name\": \"Discord AI bot\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"6f188270-2c08-491f-bf52-c4a152b33aa0\",\n \"name\": \"When clicking \\\"Execute Workflow\\\"\",\n \"type\": \"n8n-nodes-base.manualTrigger\",\n \"position\": [\n 1220,\n 780\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"e4839de2-fc04-40b0-b6bc-596455ad93fe\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 1220,\n 580\n ],\n \"webhookId\": \"d0cdd428-be96-4821-85bc-65342cf928d0\",\n \"parameters\": {\n \"path\": \"d0cdd428-be96-4821-85bc-65342cf928d0\",\n \"options\": {},\n \"httpMethod\": \"POST\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"15dcafe1-6361-4775-ace0-e34fd2a143b4\",\n \"name\": \"No Operation, do nothing\",\n \"type\": \"n8n-nodes-base.noOp\",\n \"position\": [\n 2120,\n 940\n ],\n \"parameters\": {},\n \"typeVersion\": 1\n },\n {\n \"id\": \"0d28fe8e-da80-458b-9a75-d316019cb3ae\",\n \"name\": \"Analyze user request\",\n \"type\": \"n8n-nodes-base.openAi\",\n \"position\": [\n 1420,\n 680\n ],\n \"parameters\": {\n \"model\": \"gpt-4\",\n \"prompt\": {\n \"messages\": [\n {\n \"role\": \"system\",\n \"content\": \"Act as a service desk agent and help to categorize user messages. Return back only JSON without quotations. Do not return anything else.\"\n },\n {\n \"content\": \"=Here is a user feedback: \\\"{{ $json.body.feedback }}\\\". Please analyse it and put into one of the categories:\\n1. \\\"success-story\\\" for user appraisal or success story. this will be processed by customer success department\\n2. \\\"urgent-issue\\\" for extreme dissatisfaction or an urgent problem. this will be escalated to the IT team. Please assess if the request is really urgent and whether it has an immediate impact on the client. If the ticket doesn't look like an immediate problem or an extreme dissatisfaction then proceed as a normal ticket.\\n3. \\\"ticket\\\" for everything else. This will be processed as normal by customer support team.\\n\\nPlease return back a JSON with the following structure: category (string), feedback (string), instruction (string).\\nCategory must match the analysed category. feedback must match the original text. instruction should contain a text for a department according to the category with a one sentense summary of the feedback. Please be polite and friendly to the colleagues.\"\n }\n ]\n },\n \"options\": {\n \"maxTokens\": 500,\n \"temperature\": 0.5\n },\n \"resource\": \"chat\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"63\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ce1c4198-ce21-4436-9ccb-4a2a078cd06e\",\n \"name\": \"Select category\",\n \"type\": \"n8n-nodes-base.switch\",\n \"position\": [\n 1840,\n 680\n ],\n \"parameters\": {\n \"rules\": {\n \"rules\": [\n {\n \"value2\": \"success-story\"\n },\n {\n \"output\": 1,\n \"value2\": \"urgent-issue\"\n },\n {\n \"output\": 2,\n \"value2\": \"ticket\"\n }\n ]\n },\n \"value1\": \"={{ $json.gpt_reply.category.toLowerCase() }}\",\n \"dataType\": \"string\",\n \"fallbackOutput\": 3\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"839cc38d-b393-4fc1-a068-47a8fcf55e3f\",\n \"name\": \"Parse JSON\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1640,\n 680\n ],\n \"parameters\": {\n \"values\": {\n \"string\": [\n {\n \"name\": \"gpt_reply\",\n \"value\": \"={{ JSON.parse( $json.message.content.replace(/\\\\n(?=[^\\\"]*\\\"(?:[^\\\"]*\\\"[^\\\"]*\\\")*[^\\\"]*$)/g, '\\\\\\\\n')) }}\"\n }\n ]\n },\n \"options\": {}\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"4c150439-89af-42bd-bbdc-905d13ada76b\",\n \"name\": \"User Success Dept\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2120,\n 460\n ],\n \"parameters\": {\n \"text\": \"={{ $json.gpt_reply.instruction }}\",\n \"options\": {},\n \"webhookUri\": \"https://discord.com/api/webhooks/<YOUR WEBHOOK HERE>\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"9a5e5335-9e6c-4f1f-a0f0-b1b022956549\",\n \"name\": \"IT Dept\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2120,\n 620\n ],\n \"parameters\": {\n \"text\": \"={{ $json.gpt_reply.instruction }}\",\n \"options\": {},\n \"webhookUri\": \"https://discord.com/api/webhooks/<YOUR WEBHOOK HERE>\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"d6d6250a-3a24-49f1-a597-47ebc179949c\",\n \"name\": \"Helpdesk\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2120,\n 780\n ],\n \"parameters\": {\n \"text\": \"={{ $json.gpt_reply.instruction }}\",\n \"options\": {},\n \"webhookUri\": \"https://discord.com/api/webhooks/<YOUR WEBHOOK HERE>\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"callerPolicy\": \"workflowsFromSameOwner\",\n \"saveManualExecutions\": true,\n \"saveDataSuccessExecution\": \"all\"\n },\n \"versionId\": \"8871171e-7e18-49ee-a570-facbe97afb79\",\n \"connections\": {\n \"Webhook\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze user request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Parse JSON\": {\n \"main\": [\n [\n {\n \"node\": \"Select category\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Select category\": {\n \"main\": [\n [\n {\n \"node\": \"User Success Dept\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"IT Dept\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"Helpdesk\",\n \"type\": \"main\",\n \"index\": 0\n }\n ],\n [\n {\n \"node\": \"No Operation, do nothing\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Analyze user request\": {\n \"main\": [\n [\n {\n \"node\": \"Parse JSON\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"When clicking \\\"Execute Workflow\\\"\": {\n \"main\": [\n [\n {\n \"node\": \"Analyze user request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Discord AI bot", "node_count": 9, "category": "General Automation"}} {"prompt": "Show me an n8n workflow for send daily translated calvin and hobbes comics to discord", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 8\n- Node Types: n8n-nodes-base.set, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.scheduleTrigger, n8n-nodes-base.stickyNote, n8n-nodes-base.discord, n8n-nodes-base.httpRequest, @n8n/n8n-nodes-langchain.informationExtractor\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.scheduleTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"4bf26356-9c59-4cee-8eb8-8553b23a172f\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 560,\n -120\n ],\n \"parameters\": {\n \"width\": 660,\n \"height\": 460,\n \"content\": \"\\n# Daily Cartoon (w/ AI Translate)\\n\\n### How it works\\n- Automates the retrieval of Calvin and Hobbes daily comics.\\n- Extracts the comic image URL from the website.\\n- Translates comic dialogues to English and Korean(Other Language)\\n- Posts the comic and translations to Discord daily.\\n\\n### Set up steps\\n- Estimated setup time: ~10-15 minutes.\\n- Use a **Schedule Trigger** to automate the workflow at 9 AM daily.\\n- Add nodes for parameter setup, HTTP request, data extraction, and integration with Discord.\\n- Add detailed notes to each node in the workflow for easy understanding.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"52d19472-41b4-4d71-874e-064ef9d6f248\",\n \"name\": \"Schedule Trigger\",\n \"type\": \"n8n-nodes-base.scheduleTrigger\",\n \"position\": [\n 620,\n 380\n ],\n \"parameters\": {\n \"rule\": {\n \"interval\": [\n {\n \"triggerAtHour\": 9\n }\n ]\n }\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"bcc15f37-c048-4d9a-83cd-367856470095\",\n \"name\": \"OpenAI\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1620,\n 380\n ],\n \"parameters\": {\n \"text\": \"Please write the original language and Korean together. \\n\\nEXAMPLE)\\nCalvin: \\\"YOU'VE NEVER HAD AN OBLIGATION, AN ASSIGNMENT, OR A DEADLINE IN ALL YOUR LIFE! YOU HAVE NO RESPONSIBILITIES AT ALL! IT MUST BE NICE!\\\" (너는 평생 한 번도 의무, 과제, 혹은 마감일 없었잖아! 전혀 책임이 없다니! 정말 좋겠다!)\\nHobbes: \\\"WIPE THAT INSOLENT SMIRK OFF YOUR FACE!\\\" (그 뻔뻔한 미소를 그만 지어!)\\n\",\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-4o-mini\",\n \"cachedResultName\": \"GPT-4O-MINI\"\n },\n \"options\": {},\n \"resource\": \"image\",\n \"imageUrls\": \"={{ $json.output.cartoon_image }}\",\n \"operation\": \"analyze\"\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"kYIZ8ZwQHS2d4GiD\",\n \"name\": \"(datapopcorn )OpenAi account\"\n }\n },\n \"typeVersion\": 1.6\n },\n {\n \"id\": \"35004d43-4061-476a-9af6-7d0b82ae86bd\",\n \"name\": \"param\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 840,\n 380\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"59d36aef-2991-4fd2-9fbe-dad9a701b40f\",\n \"name\": \"year\",\n \"type\": \"string\",\n \"value\": \"={{ $now.format('yyyy') }}\"\n },\n {\n \"id\": \"b6b329f2-ba08-4516-bdb9-c5d124c02110\",\n \"name\": \"month\",\n \"type\": \"string\",\n \"value\": \"={{ $now.format('MM') }}\"\n },\n {\n \"id\": \"3cba75d1-a281-4e14-9bf7-e0bc0cc7c768\",\n \"name\": \"day\",\n \"type\": \"string\",\n \"value\": \"={{ $now.format('dd') }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"cf2c953f-1ff2-4abc-8abd-95e05603e64a\",\n \"name\": \"Discord\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 1840,\n 380\n ],\n \"parameters\": {\n \"content\": \"=Daily Cartoon ({{ $('param').item.json.year }}/{{ $('param').item.json.month }}/{{ $('param').item.json.day }})\\n{{ $('Information Extractor').item.json.output.cartoon_image }}\\n\\n{{ $json.content }}\\n\",\n \"options\": {},\n \"authentication\": \"webhook\"\n },\n \"credentials\": {\n \"discordWebhookApi\": {\n \"id\": \"w82RWS7nmXLKDczt\",\n \"name\": \"n8n test webhook\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"5eec9870-a509-4090-a540-76b22bb3eac9\",\n \"name\": \"OpenAI Chat Model\",\n \"type\": \"@n8n/n8n-nodes-langchain.lmChatOpenAi\",\n \"position\": [\n 1260,\n 560\n ],\n \"parameters\": {\n \"model\": \"gpt-4o-mini-2024-07-18\",\n \"options\": {}\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"kYIZ8ZwQHS2d4GiD\",\n \"name\": \"(datapopcorn )OpenAi account\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"352db81e-7571-47cb-b028-dec18e15ccce\",\n \"name\": \"Information Extractor\",\n \"type\": \"@n8n/n8n-nodes-langchain.informationExtractor\",\n \"position\": [\n 1260,\n 380\n ],\n \"parameters\": {\n \"text\": \"=Please just extract the src value in the <img class=\\\"img-fluid Lazyloaded\\\"> tag from HTML below. I don't need anything other than the value.\\n\\ne.g.)\\nEXAMPLE INPUT)\\n<img class=\\\"img-fluid lazyloaded\\\" srcset=\\\"https://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d 900w\\\" data-srcset=\\\"https://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d 900w\\\" sizes=\\\"\\n (min-width: 992px) 900px,\\n (min-width: 768px) 600px,\\n (min-width: 576px) 300px,\\n 900px\\\" width=\\\"100%\\\" alt=\\\"Calvin and Hobbes Comic Strip for March 03, 2023 \\\" src=\\\"https://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d\\\">\\n\\n\\nEXAMPLE OUTPUT)\\nhttps://assets.amuniversal.com/5ed526b06e94013bda88005056a9545d\\n\\n--\\n(INPUT)\\n{{ $json.data }}\",\n \"options\": {},\n \"attributes\": {\n \"attributes\": [\n {\n \"name\": \"cartoon_image\",\n \"description\": \"EXAMPLE OUTPUT) https://assets.amuniversal.com/***\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"517799ed-559c-4d17-b8aa-58bd4ee92ed3\",\n \"name\": \"HTTP Request\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1040,\n 380\n ],\n \"parameters\": {\n \"url\": \"=https://www.gocomics.com/calvinandhobbes/{{ $json.year }}/{{ $json.month }}/{{ $json.day }}\",\n \"options\": {}\n },\n \"typeVersion\": 4.2\n }\n ],\n \"pinData\": {},\n \"connections\": {\n \"param\": {\n \"main\": [\n [\n {\n \"node\": \"HTTP Request\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI\": {\n \"main\": [\n [\n {\n \"node\": \"Discord\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"HTTP Request\": {\n \"main\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Schedule Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"param\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"OpenAI Chat Model\": {\n \"ai_languageModel\": [\n [\n {\n \"node\": \"Information Extractor\",\n \"type\": \"ai_languageModel\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Information Extractor\": {\n \"main\": [\n [\n {\n \"node\": \"OpenAI\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "Send daily translated Calvin and Hobbes Comics to Discord", "node_count": 8, "category": "General Automation"}} {"prompt": "Create an n8n automation that handles general automation", "response": "# Workflow Architecture\n\n**Purpose**: General Automation\n\n**Key Components**:\n- Total Nodes: 8\n- Node Types: n8n-nodes-base.set, n8n-nodes-base.rssFeedReadTrigger, @n8n/n8n-nodes-langchain.openAi, n8n-nodes-base.extractFromFile, n8n-nodes-base.discord, n8n-nodes-base.stickyNote, n8n-nodes-base.httpRequest\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.rssFeedReadTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"id\": \"LF8gz3iz74u45a5i\",\n \"meta\": {\n \"instanceId\": \"889f0d7d968f3b02a88433e2529a399907d2ca89e329934b608193beaa2301f8\"\n },\n \"name\": \"YouTube Videos with AI Summaries on Discord\",\n \"tags\": [],\n \"nodes\": [\n {\n \"id\": \"48c87027-7eea-40b9-a73c-4e002b748783\",\n \"name\": \"YouTube Video Trigger\",\n \"type\": \"n8n-nodes-base.rssFeedReadTrigger\",\n \"position\": [\n 560,\n 220\n ],\n \"parameters\": {\n \"feedUrl\": \"https://www.youtube.com/feeds/videos.xml?channel_id=UC08Fah8EIryeOZRkjBRohcQ\",\n \"pollTimes\": {\n \"item\": [\n {\n \"mode\": \"everyMinute\"\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"56166228-b365-4043-b48c-098b4de71f6f\",\n \"name\": \"Retrieve Caption Data\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 780,\n 220\n ],\n \"parameters\": {\n \"url\": \"https://www.googleapis.com/youtube/v3/captions\",\n \"options\": {},\n \"sendQuery\": true,\n \"authentication\": \"predefinedCredentialType\",\n \"queryParameters\": {\n \"parameters\": [\n {\n \"name\": \"videoId\",\n \"value\": \"={{ $json.id.match(/(?:[^:]*:){2}\\\\s*(.*)/)[1] }}\"\n },\n {\n \"name\": \"part\",\n \"value\": \"snippet\"\n }\n ]\n },\n \"nodeCredentialType\": \"youTubeOAuth2Api\"\n },\n \"credentials\": {\n \"youTubeOAuth2Api\": {\n \"id\": \"uy3xy1Ks2ATwRGr4\",\n \"name\": \"Creator Magic - YouTube account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"c029ac6f-3071-4045-83f6-2dede0c1f358\",\n \"name\": \"Download Captions\",\n \"type\": \"n8n-nodes-base.httpRequest\",\n \"position\": [\n 1220,\n 220\n ],\n \"parameters\": {\n \"url\": \"=https://www.googleapis.com/youtube/v3/captions/{{ $json.caption.id }}\",\n \"options\": {},\n \"authentication\": \"predefinedCredentialType\",\n \"nodeCredentialType\": \"youTubeOAuth2Api\"\n },\n \"credentials\": {\n \"youTubeOAuth2Api\": {\n \"id\": \"uy3xy1Ks2ATwRGr4\",\n \"name\": \"Creator Magic - YouTube account\"\n }\n },\n \"typeVersion\": 4.2\n },\n {\n \"id\": \"8b45dc14-f10f-4b50-8ca6-a9d0ccfee4dc\",\n \"name\": \"Caption File Conversion\",\n \"type\": \"n8n-nodes-base.extractFromFile\",\n \"position\": [\n 1440,\n 220\n ],\n \"parameters\": {\n \"options\": {},\n \"operation\": \"text\",\n \"destinationKey\": \"content\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"6527adb4-9087-40eb-b63a-8c4cdf5d0a40\",\n \"name\": \"Caption Summary with ChatGPT\",\n \"type\": \"@n8n/n8n-nodes-langchain.openAi\",\n \"position\": [\n 1660,\n 220\n ],\n \"parameters\": {\n \"modelId\": {\n \"__rl\": true,\n \"mode\": \"list\",\n \"value\": \"gpt-3.5-turbo\",\n \"cachedResultName\": \"GPT-3.5-TURBO\"\n },\n \"options\": {},\n \"messages\": {\n \"values\": [\n {\n \"content\": \"=Summarise this transcript into three bullet points to sum up what the video is about and why someone should watch it: {{ $json[\\\"content\\\"] }}\"\n }\n ]\n }\n },\n \"credentials\": {\n \"openAiApi\": {\n \"id\": \"QpdCHVaJVRd9NNYl\",\n \"name\": \"OpenAi account\"\n }\n },\n \"typeVersion\": 1.3\n },\n {\n \"id\": \"2c83f230-bc37-4efb-9ee9-842bcefa0ef4\",\n \"name\": \"Post to Discord\",\n \"type\": \"n8n-nodes-base.discord\",\n \"position\": [\n 2000,\n 220\n ],\n \"parameters\": {\n \"content\": \"=🌟 New Video Alert! 🌟\\n\\n**{{ $('YouTube Video Trigger').item.json[\\\"title\\\"] }}**\\n\\n*What’s it about?*\\n\\n{{ $json[\\\"message\\\"][\\\"content\\\"] }}\\n\\n[Watch NOW]({{ $('YouTube Video Trigger').item.json[\\\"link\\\"] }}) and remember to share your thoughts!\",\n \"options\": {},\n \"authentication\": \"webhook\"\n },\n \"credentials\": {\n \"discordWebhookApi\": {\n \"id\": \"QQxpAIskycvb8fIE\",\n \"name\": \"Discord Webhook account\"\n }\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"8408887e-1d89-402c-b350-93d5f96f4dea\",\n \"name\": \"Find English Captions\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 1000,\n 220\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"eaf7dcb5-91cf-4405-917b-38845f0ef78d\",\n \"name\": \"caption\",\n \"type\": \"object\",\n \"value\": \"={{ $jmespath( $json.items, \\\"[?snippet.language == 'en'] | [0]\\\" ) }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.3\n },\n {\n \"id\": \"71cc0977-1695-4797-9df2-b0a98e41d3de\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 500,\n -20\n ],\n \"parameters\": {\n \"width\": 448.11859838274916,\n \"height\": 417.2722371967648,\n \"content\": \"### Summarise Your YouTube Videos with AI for Discord\\n\\n📽️ [Watch the Video Tutorial](https://mrc.fm/ai2d)\\n\\n* Add your [YouTube channel ID](https://www.youtube.com/account_advanced) to the URL in the first node: `https://www.youtube.com/feeds/videos.xml?channel_id=YOUR_CHANNEL_ID`.\\n\\n* Ensure authorization with the YouTube channel that you want to download captions from.\"\n },\n \"typeVersion\": 1\n }\n ],\n \"active\": false,\n \"pinData\": {},\n \"settings\": {\n \"executionOrder\": \"v1\"\n },\n \"versionId\": \"e8fc6758-02ef-4b65-8ab5-474bd8e3862a\",\n \"connections\": {\n \"Download Captions\": {\n \"main\": [\n [\n {\n \"node\": \"Caption File Conversion\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Find English Captions\": {\n \"main\": [\n [\n {\n \"node\": \"Download Captions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Retrieve Caption Data\": {\n \"main\": [\n [\n {\n \"node\": \"Find English Captions\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"YouTube Video Trigger\": {\n \"main\": [\n [\n {\n \"node\": \"Retrieve Caption Data\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Caption File Conversion\": {\n \"main\": [\n [\n {\n \"node\": \"Caption Summary with ChatGPT\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n },\n \"Caption Summary with ChatGPT\": {\n \"main\": [\n [\n {\n \"node\": \"Post to Discord\",\n \"type\": \"main\",\n \"index\": 0\n }\n ]\n ]\n }\n }\n}\n```", "metadata": {"source": "enescingoz/awesome-n8n-templates", "workflow_name": "YouTube Videos with AI Summaries on Discord", "node_count": 8, "category": "General Automation"}} {"prompt": "How would you build: Conversational Interviews With Ai Agents And N8N Forms?", "response": "# Workflow Architecture\n\n**Purpose**: Webhooks\n\n**Key Components**:\n- Total Nodes: 40\n- Node Types: n8n-nodes-base.form, @n8n/n8n-nodes-langchain.agent, n8n-nodes-base.set, n8n-nodes-base.crypto, @n8n/n8n-nodes-langchain.memoryBufferWindow, n8n-nodes-base.splitOut, n8n-nodes-base.html, n8n-nodes-base.if, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote\n\n**Logic Flow**:\n1. **Trigger**: n8n-nodes-base.formTrigger - Initiates the workflow\n\n## Complete Workflow JSON\n\n```json\n{\n \"nodes\": [\n {\n \"id\": \"d73e5113-119f-4e62-9872-48e6a971d760\",\n \"name\": \"Stop Interview?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 3380,\n 920\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"3cf788a6-94d0-4223-9caa-30b8e4df8e01\",\n \"operator\": {\n \"type\": \"boolean\",\n \"operation\": \"true\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.output.stop_interview }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"cda3c487-97fa-4037-b9a0-0802f4a02727\",\n \"name\": \"Generate Row\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3740,\n 1200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06146a75-b67a-42cf-aa6f-241f23c47b9a\",\n \"name\": \"timestamp\",\n \"type\": \"string\",\n \"value\": \"={{ $now.toISO() }}\"\n },\n {\n \"id\": \"b0278c64-58a7-487d-b7ba-d102fb5d4a0c\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"next_question\"\n },\n {\n \"id\": \"ba034ca1-408e-422f-b071-dab0ef12fb48\",\n \"name\": \"question\",\n \"type\": \"string\",\n \"value\": \"={{ $('Parse Response').item.json.output.question }}\"\n },\n {\n \"id\": \"a2231f6e-f507-408e-b598-53888cf8d4b5\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Answer').item.json.answer }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"3486f9ae-6a19-4f1f-be46-15376053e71f\",\n \"name\": \"Generate Row1\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 3580,\n 760\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06146a75-b67a-42cf-aa6f-241f23c47b9a\",\n \"name\": \"timestamp\",\n \"type\": \"string\",\n \"value\": \"={{ $now.toISO() }}\"\n },\n {\n \"id\": \"b0278c64-58a7-487d-b7ba-d102fb5d4a0c\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"stop_interview\"\n },\n {\n \"id\": \"ba034ca1-408e-422f-b071-dab0ef12fb48\",\n \"name\": \"question\",\n \"type\": \"string\",\n \"value\": \"=None\"\n },\n {\n \"id\": \"a2231f6e-f507-408e-b598-53888cf8d4b5\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"=None\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"a0e5d40d-e956-4ded-891f-ce5d0f55935f\",\n \"name\": \"Clear For Next Interview\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryManager\",\n \"position\": [\n 3900,\n 760\n ],\n \"parameters\": {\n \"mode\": \"delete\",\n \"deleteMode\": \"all\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"66a33fcb-a902-4159-a025-2dff426c1fce\",\n \"name\": \"Sticky Note\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2580,\n 860\n ],\n \"parameters\": {\n \"width\": 180,\n \"height\": 260,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 Set Interview Topic Here!\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5cfb7114-a773-4c76-bb3b-7c004be5f799\",\n \"name\": \"Send Reply To Agent\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 4060,\n 1200\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06a9c730-4756-4bc8-a394-6ff249cf7117\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"={{ $('Get Answer').item.json.answer }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"aa30c462-7dfa-40a7-8e63-bed29b30213c\",\n \"name\": \"Sticky Note1\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1880,\n 1060\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 490,\n \"height\": 220,\n \"content\": \"## 1. Setup Interview\\n[Learn more about the form trigger node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.formtrigger)\\n\\nThe form trigger node will be our entry point into this workflow and to start, we'll just ask for the user's name to start the interview.\\nOur session storage will be using Redis via Upstash.com (you can use regular redis btw!) - whichever way, this ensures a highly scalable system able to handle many users.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5353a7c8-d0e4-429a-ab68-c54d9b845a43\",\n \"name\": \"Start Interview\",\n \"type\": \"n8n-nodes-base.formTrigger\",\n \"position\": [\n 1880,\n 880\n ],\n \"webhookId\": \"8d849295-ed30-41ab-a17c-464227cec8fb\",\n \"parameters\": {\n \"options\": {\n \"path\": \"driving-lessons-survey\",\n \"ignoreBots\": true,\n \"buttonLabel\": \"Begin Interview!\",\n \"appendAttribution\": true,\n \"useWorkflowTimezone\": true\n },\n \"formTitle\": \"=UK Practical Driving Test Satisfaction Interview\",\n \"formFields\": {\n \"values\": [\n {\n \"fieldLabel\": \"What is your name?\",\n \"placeholder\": \"ie. Sam Smith\",\n \"requiredField\": true\n }\n ]\n },\n \"responseMode\": \"lastNode\",\n \"formDescription\": \"=Thanks for taking part in our Interview. You will be presented with an unending series of questions to help us with your experiences in preparing for and taking the UK Practical Driving Test.\\n\\nThe interviewer is an AI agent and the questions are dynamically generated. When you're done with answer, simple say STOP to exit the interview. Sessions are deleted after 24 hours.\"\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"c88a829f-c4b4-4ad4-b121-32b15fae9980\",\n \"name\": \"Sticky Note2\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 2840,\n 600\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 614,\n \"height\": 280,\n \"content\": \"## 2. AI Researcher for Endless Interview Questions\\n[Learn more about the AI Agent node](https://docs.n8n.io/integrations/builtin/cluster-nodes/root-nodes/n8n-nodes-langchain.agent/)\\n\\nAn AI interviewer is an interesting take on a role traditionally understood as expensive and time-consuming - both in preparation and execution. What if this could be handed off to an AI/LLM, which could perform when it suits the interviewee and ask a never-ending list of open and follow-on questions for deeper insights?\\n\\nThis is what this AI researcher agent is designed to do! Upon activation, a loop is created where the agent generates the question and the user answers via the form node. This continues until the user asks to stop the interview.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"10e5dbe0-0163-4c21-8811-9ce9a2a5063b\",\n \"name\": \"Sticky Note3\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3580,\n 1380\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 580,\n \"height\": 202,\n \"content\": \"## 3. Record Answers and Prep for Next Question\\n[Learn more about the n8n Form node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.form/)\\n\\nThe interview is no good if we can't record the answers somewhere for later analysis! Using n8n form node to capture the answer, we can simple push our new question and answer pair to our Redis session to build our transcript before continuing the loop with the agent.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"0a0cc961-d364-40d2-9ece-cef7d17c4b45\",\n \"name\": \"Sticky Note4\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 3820,\n 460\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 528,\n \"height\": 253,\n \"content\": \"## 4. Graciously End the Interview\\n[Read more about the Chat Manager node](https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.memorymanager/)\\n\\nOnce the AI/LLM detects the user wishes to end the interview (which is done by the user explicitly saying in the form), then the loop breaks and we conclude the interview session and displaying the confirmation screen.\\n\\nFor this demo, I've created a special confirmation screen which also displays the transcript. This is done by redirecting to a webhook URL. If you don't need this, feel free to change this to \\\"show completion screen\\\" instead.\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"279d9a67-1d3b-4ffe-a152-33164ef9e2c8\",\n \"name\": \"Get Answer\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 3580,\n 1200\n ],\n \"webhookId\": \"d96bb88d-db84-4a68-8f02-bcff9cb8429e\",\n \"parameters\": {\n \"options\": {\n \"formTitle\": \"={{ $json.output.question }}\",\n \"buttonLabel\": \"Next Question\",\n \"formDescription\": \"Please answer the question or type \\\"stop interview\\\" to end the interview.\"\n },\n \"formFields\": {\n \"values\": [\n {\n \"fieldType\": \"textarea\",\n \"fieldLabel\": \"answer\",\n \"requiredField\": true\n }\n ]\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"4e284505-afc3-4e3e-88c8-38021efbf3c1\",\n \"name\": \"Sticky Note5\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 1280,\n 500\n ],\n \"parameters\": {\n \"width\": 522.6976744186048,\n \"height\": 787.6241860465118,\n \"content\": \"## Try it out! \\n\\n### Conducting user interviews have been traditionally difficult due to preparation, timing and execution costs. What if we let an AI/LLM do it instead?\\n\\nThis template enables automated AI/LLM powered user interviews using n8n forms and an AI agent where the question and answers are recorded in a google sheet for later analysis. A powerful tool for any researcher.\\n\\n### Check out the full showcase post here: https://community.n8n.io/t/build-your-own-ai-interview-agents-with-n8n-forms/62312\\n\\n### How it works\\n* A form trigger is used to start the interview and a new session is created in redis to capture the transcript.\\n* An AI agent is then tasked to ask questions to the user regarding the topic of the interview. This is setup as a loop so the questions never stop unless the user wishes to end the interview.\\n* Each answer is recorded in our session set up earlier between questions.\\n* Finally, when the user requests to end the interview we break the loop and show the interview completion screen.\\n\\n### Why Redis?\\nRedis is a fast key-value datastore which makes it ideal for sessions. This ensures the interview flow stays snappy between questions. For my live demo, I used Upstash.com which has a generous free tier.\\n\\n\\n### Need Help?\\nJoin the [Discord](https://discord.com/invite/XPKeKXeB7d) or ask in the [Forum](https://community.n8n.io/)!\\n\\nHappy Hacking!\\n\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"ff37e943-851f-4ea7-bcab-b33150881b72\",\n \"name\": \"Set Interview Topic\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2620,\n 880\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"386f91e1-cc3e-4912-84e3-5ecdbf5412c8\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"=Hello, my name is {{ $('Start Interview').first().json['What is your name?'] }}\"\n },\n {\n \"id\": \"492d5ecc-4e76-4297-b8a7-9ca4f801c855\",\n \"name\": \"interview_topic\",\n \"type\": \"string\",\n \"value\": \"Your experience preparing for and taking the UK practical driving test\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"446937bc-a599-4184-b52e-be0607d62d94\",\n \"name\": \"UUID\",\n \"type\": \"n8n-nodes-base.crypto\",\n \"position\": [\n 2020,\n 880\n ],\n \"parameters\": {\n \"action\": \"generate\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"da94c22a-4b26-4898-bde8-b57b5bf01f15\",\n \"name\": \"Generate Row2\",\n \"type\": \"n8n-nodes-base.set\",\n \"position\": [\n 2300,\n 880\n ],\n \"parameters\": {\n \"options\": {},\n \"assignments\": {\n \"assignments\": [\n {\n \"id\": \"06146a75-b67a-42cf-aa6f-241f23c47b9a\",\n \"name\": \"timestamp\",\n \"type\": \"string\",\n \"value\": \"={{ $now.toISO() }}\"\n },\n {\n \"id\": \"b0278c64-58a7-487d-b7ba-d102fb5d4a0c\",\n \"name\": \"type\",\n \"type\": \"string\",\n \"value\": \"start_interview\"\n },\n {\n \"id\": \"ba034ca1-408e-422f-b071-dab0ef12fb48\",\n \"name\": \"question\",\n \"type\": \"string\",\n \"value\": \"=What is your name?\"\n },\n {\n \"id\": \"a2231f6e-f507-408e-b598-53888cf8d4b5\",\n \"name\": \"answer\",\n \"type\": \"string\",\n \"value\": \"={{ $('Start Interview').first().json['What is your name?'] }}\"\n }\n ]\n }\n },\n \"typeVersion\": 3.4\n },\n {\n \"id\": \"9aba23d7-04af-4478-b39b-417f0917597d\",\n \"name\": \"Create Session\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 2160,\n 880\n ],\n \"parameters\": {\n \"key\": \"=session_{{ $('UUID').item.json.data }}\",\n \"ttl\": \"={{ 60 * 60 * 24 }}\",\n \"value\": \"={{ [] }}\",\n \"expire\": true,\n \"keyType\": \"list\",\n \"operation\": \"set\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"217c9866-a162-41c6-b123-189869a6cb58\",\n \"name\": \"Update Session\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 2440,\n 880\n ],\n \"parameters\": {\n \"list\": \"=session_{{ $('UUID').first().json.data }}\",\n \"tail\": true,\n \"operation\": \"push\",\n \"messageData\": \"={{ $json.toJsonString() }}\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"95e8b7c4-4f27-49f3-b509-5238c0f7bd5d\",\n \"name\": \"Update Session1\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 3900,\n 1200\n ],\n \"parameters\": {\n \"list\": \"=session_{{ $('UUID').first().json.data }}\",\n \"tail\": true,\n \"operation\": \"push\",\n \"messageData\": \"={{ $json.toJsonString() }}\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"afaa55dd-844e-4bf3-8a31-3a0953caaf69\",\n \"name\": \"Update Session2\",\n \"type\": \"n8n-nodes-base.redis\",\n \"position\": [\n 3740,\n 760\n ],\n \"parameters\": {\n \"list\": \"=session_{{ $('UUID').first().json.data }}\",\n \"tail\": true,\n \"operation\": \"push\",\n \"messageData\": \"={{ $json.toJsonString() }}\"\n },\n \"credentials\": {\n \"redis\": {\n \"id\": \"AbPH1yYQ924bVUqm\",\n \"name\": \"Upstash (ai interviewer)\"\n }\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"c381d598-1902-4789-ac15-65ac2124fbdd\",\n \"name\": \"Valid Session?\",\n \"type\": \"n8n-nodes-base.if\",\n \"position\": [\n 5080,\n 1240\n ],\n \"parameters\": {\n \"options\": {},\n \"conditions\": {\n \"options\": {\n \"version\": 2,\n \"leftValue\": \"\",\n \"caseSensitive\": true,\n \"typeValidation\": \"strict\"\n },\n \"combinator\": \"and\",\n \"conditions\": [\n {\n \"id\": \"500d6ca9-2a04-40f0-98e8-aa4290e6a30d\",\n \"operator\": {\n \"type\": \"array\",\n \"operation\": \"exists\",\n \"singleValue\": true\n },\n \"leftValue\": \"={{ $json.data }}\",\n \"rightValue\": \"\"\n }\n ]\n }\n },\n \"typeVersion\": 2.2\n },\n {\n \"id\": \"f26ccdaa-4f94-4acb-894b-341648aee8b0\",\n \"name\": \"Respond to Webhook\",\n \"type\": \"n8n-nodes-base.respondToWebhook\",\n \"position\": [\n 5440,\n 1240\n ],\n \"parameters\": {\n \"options\": {\n \"responseCode\": 200,\n \"responseHeaders\": {\n \"entries\": [\n {\n \"name\": \"Content-Type\",\n \"value\": \"text/html\"\n }\n ]\n }\n },\n \"respondWith\": \"text\",\n \"responseBody\": \"={{ $json.html }}\"\n },\n \"typeVersion\": 1.1\n },\n {\n \"id\": \"09a05dc6-4a21-4df0-a83d-5e1b986090f8\",\n \"name\": \"Window Buffer Memory2\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 3000,\n 1120\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('UUID').first().json.data }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"26f87c7d-9e2c-41e8-b7eb-3c249a69f905\",\n \"name\": \"Window Buffer Memory\",\n \"type\": \"@n8n/n8n-nodes-langchain.memoryBufferWindow\",\n \"position\": [\n 3900,\n 920\n ],\n \"parameters\": {\n \"sessionKey\": \"={{ $('UUID').first().json.data }}\",\n \"sessionIdType\": \"customKey\"\n },\n \"typeVersion\": 1.2\n },\n {\n \"id\": \"ab891c71-af03-49c9-b281-d0058374260b\",\n \"name\": \"Sticky Note6\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4180,\n 740\n ],\n \"parameters\": {\n \"width\": 276.4353488372094,\n \"height\": 320.31553488372094,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 Set Your Webhook URL here!\\nFor this demo, we want to show a customised completion screen with transcript so it's necessary to redirect to a webhook (see step 6).\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"7a063851-1bea-4e34-897c-4038d08b845e\",\n \"name\": \"Redirect to Completion Screen\",\n \"type\": \"n8n-nodes-base.form\",\n \"position\": [\n 4260,\n 760\n ],\n \"webhookId\": \"9fdedf1b-e413-4fc3-94a4-9cc24bffff8a\",\n \"parameters\": {\n \"operation\": \"completion\",\n \"redirectUrl\": \"=https://<host>/webhook/<uuid-if-using-n8n-cloud>/ai-interview-transcripts/{{ $('UUID').first().json.data }}\",\n \"respondWith\": \"redirect\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"b67b3fa5-faf6-402b-9b9e-c783869770ca\",\n \"name\": \"Sticky Note7\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4640,\n 1220\n ],\n \"parameters\": {\n \"color\": 5,\n \"width\": 236.3564651162793,\n \"height\": 345.82027906976737,\n \"content\": \"\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n\\n### 🚨 This is the webhook we want to redirect to!\\nIf you're on n8n cloud, you may want to copy the webhook url generated here and use it as the form ending's redirect url.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"583d1572-2d6f-4ca4-9e31-33dc1481e87a\",\n \"name\": \"Sticky Note8\",\n \"type\": \"n8n-nodes-base.stickyNote\",\n \"position\": [\n 4580,\n 980\n ],\n \"parameters\": {\n \"color\": 7,\n \"width\": 588,\n \"height\": 207,\n \"content\": \"## 6. Display the Transcript\\n[Read more about the Webhook Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.webhook)\\n\\nThis step is totally optional. For a nicer user experience, I use this webhook mini-flow to display the user's transcript for the completion screen. It works by capturing the session_id in the webhook's url and searching for it in our redis database. If a match is found the transcript is fetched and rendered into a webpage using the HTML node and returned to the user. If no match is found, a 404 message is displayed instead.\"\n },\n \"typeVersion\": 1\n },\n {\n \"id\": \"5fcf86b9-3fa3-48f5-a4a4-a1e261a48b49\",\n \"name\": \"Webhook\",\n \"type\": \"n8n-nodes-base.webhook\",\n \"position\": [\n 4700,\n 1240\n ],\n \"webhookId\": \"78df12c4-ccd0-46dd-be0d-4445c2bd04f2\",\n \"parameters\": {\n \"path\": \"ai-interview-transcripts/:session_id\",\n \"options\": {\n \"ignoreBots\": true\n },\n \"responseMode\": \"responseNode\"\n },\n \"typeVersion\": 2\n },\n {\n \"id\": \"6df57307-feef-4be5-861d-fdc0b92d1ef6\",\n \"name\": \"404 Not Found\",\n \"type\": \"n8n-nodes-base.html\",\n \"position\": [\n 5260,\n 1320\n ],\n \"parameters\": {\n \"html\": \"\\n<html lang='en'>\\n\\n\\t<head>\\n\\t\\t<meta charset='UTF-8' />\\n\\t\\t<meta name='viewport' content='width=device-width, initial-scale=1.0' />\\n\\t\\t<link rel='icon' type='image/png' href='https://n8n.io/favicon.ico' />\\n\\t\\t<link\\n\\t\\t\\thref='https://fonts.googleapis.com/css?family=Open+Sans'\\n\\t\\t\\trel='stylesheet'\\n\\t\\t\\ttype='text/css'\\n\\t\\t/>\\n\\n\\t\\t<title>Driving Practice Test 2024 Survey \\n\\n\\t\\t\\n\\t\\n\\n\\t\\n\\t\\t\\n\\t\\t\\t\\n\\t\\n\\n\\n\\t\\t\\t\\t \\n\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t\\t\\n\\t\\t\\t\\n\\t\\t\\t\\t\\t\\t\\n\\t\\t\\t\\t404 Not Found
\\n\\t\\t\\t\\t\\t\\tThe requested session does not exist.
\\nYour session may have expired.
\\n