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

**Purpose**: AI & LLM + Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "YouTube Transcript to Blog",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: YouTube Transcript to Blog",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "bd0e0586-b4e8-4da9-8d93-57602a5219de",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "youtube-transcript-to-blog"
      },
      "id": "fe1b58d8-2bdc-4ce8-bcf8-95c9b0b6477d",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "ceba2716-6fe1-48de-9bad-512e27bac9c1",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "20c8a22e-bf48-44b4-ac45-74b80231e773",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "value": "youtube_transcript_to_blog",
          "mode": "list",
          "cachedResultName": "youtube_transcript_to_blog"
        }
      },
      "id": "d5bd2477-053c-4954-b46a-607df0a23935",
      "name": "Pinecone Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "pineconeIndex": {
          "__rl": true,
          "value": "youtube_transcript_to_blog",
          "mode": "list",
          "cachedResultName": "youtube_transcript_to_blog"
        }
      },
      "id": "d5b8f51f-8904-4039-ab7f-d4cffd717b14",
      "name": "Pinecone Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone",
        "description": "Vector context"
      },
      "id": "42485b1f-2381-4e86-91af-ddbb3b687689",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "5fccb006-c66d-407a-b010-a9f7ca49c0d7",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "1454b8d0-0703-45e1-b51c-2f9396b4e4d1",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_API",
          "name": "Anthropic"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'YouTube Transcript to Blog':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for YouTube Transcript to Blog"
        }
      },
      "id": "a8c23beb-eeb0-45bb-bee8-7d841bf39330",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "YouTube Transcript to Blog"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "333c30d3-f292-497e-af3d-fffa5575fd75",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "YouTube Transcript to Blog error: {$json.error.message}"
      },
      "id": "f84bd864-69d2-4c78-a3df-e0d4bdaf36c0",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Pinecone Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Insert": {
      "ai_document": [
        []
      ]
    },
    "Pinecone Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


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

**Purpose**: AI & LLM + Data Processing + Database

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Competitor Price Scraper",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Competitor Price Scraper",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "3658f18f-6ed3-4c14-b12d-9ec7fadc03f9",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "competitor-price-scraper"
      },
      "id": "9b5a4057-4b5f-44f7-aea9-847d23a8f821",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "3b015342-843e-40e8-8164-734611f2c7aa",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "3b77afdb-828a-48bf-ab39-5600c4ac8512",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "indexName": "competitor_price_scraper"
      },
      "id": "217480ed-2ad6-407d-80fa-0d5284905815",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "competitor_price_scraper"
      },
      "id": "90ed9d12-3239-48b0-b5a5-23fb2a0172ea",
      "name": "Supabase Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase",
        "description": "Vector context"
      },
      "id": "68bc4d4a-293e-4252-8a88-486aa3e3cb5f",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "3d31e91e-ad51-4967-903f-7ae2c598a870",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "af6568a4-96a6-4b41-8be0-730fb7c0b328",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_API",
          "name": "Anthropic"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'Competitor Price Scraper':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Competitor Price Scraper"
        }
      },
      "id": "c0a57592-08d8-4b83-80bf-73b63a29966f",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Competitor Price Scraper"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "ff81c3bb-35e8-428d-9ad9-491707d7ee15",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Competitor Price Scraper error: {$json.error.message}"
      },
      "id": "9f49421e-8263-4127-ad94-e063318685fb",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Supabase Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Supabase Insert": {
      "ai_document": [
        []
      ]
    },
    "Supabase Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: Create an n8n automation that handles data processing + database

Response:
# Workflow Architecture

**Purpose**: Data Processing + Database

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "GitHub Commit Jenkins",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: GitHub Commit Jenkins",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "5e656fa4-c9ef-419c-b8e5-93b4dd837c81",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "github-commit-jenkins"
      },
      "id": "faa3187e-7313-474f-b54a-a25790101607",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "c5119e77-1c04-4245-9cd2-2f9538fbb8d0",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "fa72e972-a6f0-4352-a738-37f9167c5294",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "indexName": "github_commit_jenkins"
      },
      "id": "8cdecff9-3760-4347-b0db-d24928bae5b4",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "github_commit_jenkins"
      },
      "id": "fe3e81f7-097a-4322-84a0-e7d24f7db8e8",
      "name": "Supabase Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase",
        "description": "Vector context"
      },
      "id": "6f4c86c2-e1bd-4ecf-83cb-b2ceb4b73e6a",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "dace1819-1ddc-4e66-bebe-08fe643516bf",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "91e7ee4a-61ff-479a-acc6-57c7a51a9a70",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'GitHub Commit Jenkins':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for GitHub Commit Jenkins"
        }
      },
      "id": "3e35e0ca-1355-462b-8f1e-840b1736fce5",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "GitHub Commit Jenkins"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "3624b160-adce-4657-853a-bbf8d6948a1b",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "GitHub Commit Jenkins error: {$json.error.message}"
      },
      "id": "9a67ce5b-4abd-4f9f-a5da-5113300ef9ff",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Supabase Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Supabase Insert": {
      "ai_document": [
        []
      ]
    },
    "Supabase Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: How would you build: Abandoned Cart Email?

Response:
# Workflow Architecture

**Purpose**: Data Processing + Database

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Abandoned Cart Email",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Abandoned Cart Email",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "1f91297f-f9dc-49bc-8f96-92814dff32be",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "abandoned-cart-email"
      },
      "id": "b0c4f170-934e-4434-abbe-6342cd9edc36",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "f706155b-01d6-49fb-940f-bc1d7f858569",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "593f3c9c-58fa-4f29-8a3a-8745c7ff7fbf",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "indexName": "abandoned_cart_email"
      },
      "id": "a7f02c99-3494-4acd-b70e-cd3cca069599",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "abandoned_cart_email"
      },
      "id": "fb8320a7-7433-4329-b54c-f696059b14b7",
      "name": "Supabase Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase",
        "description": "Vector context"
      },
      "id": "558a9d97-652b-4e88-bd35-5ed2085625d3",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "8dce5c28-4831-448c-a578-9e970cf68744",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "fba89352-184f-4f77-8b83-958a9c0715f3",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'Abandoned Cart Email':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Abandoned Cart Email"
        }
      },
      "id": "6ade5738-8ced-40e6-8a24-501cca90ab49",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Abandoned Cart Email"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "f7cf072c-e32b-4c38-89f0-79584144fd5b",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Abandoned Cart Email error: {$json.error.message}"
      },
      "id": "76275d42-14ed-4e55-aaf8-bd1557c263c9",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Supabase Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Supabase Insert": {
      "ai_document": [
        []
      ]
    },
    "Supabase Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: Show me an n8n workflow for inventory slack alert

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Inventory Slack Alert",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Inventory Slack Alert",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "fd1368bd-bfe5-41c8-956a-7157c20474a6",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "inventory-slack-alert"
      },
      "id": "d44d9365-6e28-403e-9ead-123bfa06de69",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "075a1773-e19a-4f6d-8898-76b4c9b0db8d",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "f7806342-0e9e-4004-a06d-4f02929951ec",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "value": "inventory_slack_alert",
          "mode": "list",
          "cachedResultName": "inventory_slack_alert"
        }
      },
      "id": "18b389fd-f2bf-45f4-9042-089f27ecac65",
      "name": "Pinecone Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "pineconeIndex": {
          "__rl": true,
          "value": "inventory_slack_alert",
          "mode": "list",
          "cachedResultName": "inventory_slack_alert"
        }
      },
      "id": "da362152-0424-43bf-a373-a683f53e4a75",
      "name": "Pinecone Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone",
        "description": "Vector context"
      },
      "id": "23c62312-3faa-4526-9e41-d4a9a9384d3c",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "f1af3590-a114-4b63-897a-8961b4c9f97a",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "03e57d37-e504-4a9b-8a33-6a82c93485cb",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'Inventory Slack Alert':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Inventory Slack Alert"
        }
      },
      "id": "5966c068-4e76-4c29-9a7a-7594639ef53a",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Inventory Slack Alert"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "247d117f-7c88-4f0f-8dd3-53aa6b0a84e0",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Inventory Slack Alert error: {$json.error.message}"
      },
      "id": "c8395d01-4d77-47bb-a940-f6b4ec9e598f",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Pinecone Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Insert": {
      "ai_document": [
        []
      ]
    },
    "Pinecone Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: Create an n8n automation that handles ai & llm + data processing

Response:
# Workflow Architecture

**Purpose**: AI & LLM + Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Shopify Order SMS",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Shopify Order SMS",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "43d4baf6-302b-4141-a67e-df7df86b03e0",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "shopify-order-sms"
      },
      "id": "65c17543-498e-443e-993c-02af712d566e",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "d091bc86-264b-441f-aca1-21f14aa3022d",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "ae0788c7-71b3-4c14-9260-eb37e7f0a9ff",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "value": "shopify_order_sms",
          "mode": "list",
          "cachedResultName": "shopify_order_sms"
        }
      },
      "id": "a9decd23-8efc-4c95-b1b0-839196ed3520",
      "name": "Pinecone Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "pineconeIndex": {
          "__rl": true,
          "value": "shopify_order_sms",
          "mode": "list",
          "cachedResultName": "shopify_order_sms"
        }
      },
      "id": "54495b0b-370e-46a9-b5b5-2d9d0162b40d",
      "name": "Pinecone Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone",
        "description": "Vector context"
      },
      "id": "6a98c770-fb1e-4c32-a97a-725116bafec5",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "cf97460a-684b-4fb9-a722-05a7ff26bb97",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "1d87e1f1-30c0-43e9-9d50-bbf5aa676ae7",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_API",
          "name": "Anthropic"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'Shopify Order SMS':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Shopify Order SMS"
        }
      },
      "id": "16053bc3-704a-4649-8088-8af634649f2b",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Shopify Order SMS"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "80e6c213-6f3e-4d15-9539-c4999aee3d0e",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Shopify Order SMS error: {$json.error.message}"
      },
      "id": "bdcb167e-b59d-4b53-b151-dfe70f2f28ab",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Pinecone Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Insert": {
      "ai_document": [
        []
      ]
    },
    "Pinecone Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: Build a workflow for: Daily Student Motivation

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Daily Student Motivation",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Daily Student Motivation",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "26995548-761c-41fa-9727-9c1538208723",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "daily-student-motivation"
      },
      "id": "b4ee6923-9695-4d25-879e-d51682b416d6",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "950769fc-8534-4ffa-9fad-8c9cee196dea",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "ce4e7e23-937e-4177-8f1e-14263defeac1",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "indexName": "daily_student_motivation"
      },
      "id": "1a53eb05-9c9d-482a-8333-71b326df96cf",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "daily_student_motivation"
      },
      "id": "6f0f012d-1cd7-42e8-902f-7f8cf0072089",
      "name": "Weaviate Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate",
        "description": "Vector context"
      },
      "id": "5d7acfa3-f322-4676-a6d4-5ac645b1e2ee",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "ec33fdb2-eb3a-4e01-8489-6a592afc834f",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "020dfb0b-5272-4ff5-8ea0-10363909cd28",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'Daily Student Motivation':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Daily Student Motivation"
        }
      },
      "id": "32e3b5c4-c532-420c-b350-51def592d5a4",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Daily Student Motivation"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "d25ae892-f0e7-4d93-b488-b7c62c9da5b9",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Daily Student Motivation error: {$json.error.message}"
      },
      "id": "18b62a7a-11c2-48b3-a7cf-cd2d11a95496",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Weaviate Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Weaviate Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Weaviate Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Weaviate Insert": {
      "ai_document": [
        []
      ]
    },
    "Weaviate Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: How would you build: Quiz Auto Grader?

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Quiz Auto Grader",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Quiz Auto Grader",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "52dc6fbe-f7af-43a8-9226-241e163e6bbf",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "quiz-auto-grader"
      },
      "id": "f25da8be-15a9-4fe8-b28c-5343b8a88f29",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "62c88abc-3c7d-4fac-9166-2b6d785992f7",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "ccd8538c-3116-41de-97bb-77e5ef4e6c70",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "value": "quiz_auto_grader",
          "mode": "list",
          "cachedResultName": "quiz_auto_grader"
        }
      },
      "id": "b28de69a-1f40-4fa8-bc16-62541d526207",
      "name": "Pinecone Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "pineconeIndex": {
          "__rl": true,
          "value": "quiz_auto_grader",
          "mode": "list",
          "cachedResultName": "quiz_auto_grader"
        }
      },
      "id": "ab2f14e2-be2d-4512-88ee-3ebdacc3d599",
      "name": "Pinecone Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone",
        "description": "Vector context"
      },
      "id": "73dd9881-3272-4e9a-a422-edf99d78f40a",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "3e44774a-5dcd-4e4f-9b4b-94f4fe9ba8cd",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "fdb6fb02-28f6-4bac-8502-699dc8723223",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Process the following data for task 'Quiz Auto Grader':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Quiz Auto Grader"
        }
      },
      "id": "1940fa89-ede4-4c27-82fb-7678cff0df54",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Quiz Auto Grader"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "a3db64cb-9ea7-4a36-8463-219917f66358",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Quiz Auto Grader error: {$json.error.message}"
      },
      "id": "94d962e2-f5e4-40a1-a075-96e8e9858b32",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Pinecone Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Insert": {
      "ai_document": [
        []
      ]
    },
    "Pinecone Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: How would you build: Auto Archive Promotions?

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Auto Archive Promotions",
  "nodes": [
    {
      "parameters": {
        "content": "Placeholder for Auto Archive Promotions",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "c8c1846b-13b0-4c02-9fe5-4d00953318c3",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "auto-archive-promotions"
      },
      "id": "88b8b314-a8a8-4764-a7b2-ae433e56d008",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "8ec45fc1-8df0-49e9-afd6-7feddd280948",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "4980a2e9-1bb5-4754-ad54-427044caa38d",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "value": "auto_archive_promotions",
          "mode": "list",
          "cachedResultName": "auto_archive_promotions"
        }
      },
      "id": "e7ea191b-5779-4f89-8254-1dc72d0d990a",
      "name": "Pinecone Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "pineconeIndex": {
          "__rl": true,
          "value": "auto_archive_promotions",
          "mode": "list",
          "cachedResultName": "auto_archive_promotions"
        }
      },
      "id": "2692ac89-af93-466e-bffa-81ccc09da686",
      "name": "Pinecone Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone",
        "description": "Vector context"
      },
      "id": "64154d66-1337-4f3a-87b8-f6548cb9b47f",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "eeaa1f48-794b-44d4-98db-18f3b289aa6f",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "6740f1df-ab97-416e-855f-6d521ad89b9e",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Handle data",
        "options": {
          "systemMessage": "You are an assistant for Auto Archive Promotions"
        }
      },
      "id": "8d11beaa-7934-4927-9519-d14d2ea885ef",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Auto Archive Promotions"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": "Status",
          "schema": []
        }
      },
      "id": "fcad99f4-60fd-4c33-b12c-78aa0284651e",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Auto Archive Promotions error: {$json.error.message}"
      },
      "id": "dc986a7b-8dbe-45f0-a73b-6584e5be6821",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Pinecone Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Insert": {
      "ai_document": [
        []
      ]
    },
    "Pinecone Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


Prompt: Create an n8n automation that handles ai & llm + data processing

Response:
# Workflow Architecture

**Purpose**: AI & LLM + Data Processing

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Auto Reply to FAQs",
  "nodes": [
    {
      "parameters": {
        "content": "Placeholder for Auto Reply to FAQs",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "9346afca-4798-4807-8f7a-b1298919df74",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "auto-reply-to-faqs"
      },
      "id": "692d46f2-9045-416a-b0cd-8e42fd3230c5",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "83193912-ef89-477a-b6b9-c293b5498153",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "1fb02ad8-15e0-49c7-8271-a9af5c511da2",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "pineconeIndex": {
          "__rl": true,
          "value": "auto_reply_to_faqs",
          "mode": "list",
          "cachedResultName": "auto_reply_to_faqs"
        }
      },
      "id": "45600a7a-615a-4733-ae13-a394bd19bfea",
      "name": "Pinecone Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "pineconeIndex": {
          "__rl": true,
          "value": "auto_reply_to_faqs",
          "mode": "list",
          "cachedResultName": "auto_reply_to_faqs"
        }
      },
      "id": "8620fcf8-2067-4776-8f6a-fb896d765342",
      "name": "Pinecone Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone",
        "description": "Vector context"
      },
      "id": "4f9229e7-bf9d-4de4-b51e-49aa8553dfef",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "d42590ab-e482-416d-9418-9dc595ac9b04",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "9b993db0-8564-4ff1-839f-ce059f1d8545",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_API",
          "name": "Anthropic"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Handle data",
        "options": {
          "systemMessage": "You are an assistant for Auto Reply to FAQs"
        }
      },
      "id": "2395d437-ac56-4637-b4a6-4c626f217ae7",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Auto Reply to FAQs"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": "Status",
          "schema": []
        }
      },
      "id": "2bc49ad8-7cc0-4cbc-b72e-3ccaa19fb8e2",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Auto Reply to FAQs error: {$json.error.message}"
      },
      "id": "44f0bf88-3961-4ec3-b965-011224fba8a1",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Pinecone Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Pinecone Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Pinecone Insert": {
      "ai_document": [
        []
      ]
    },
    "Pinecone Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```


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

**Purpose**: AI & LLM + Data Processing + Database

**Key Components**:
- Total Nodes: 12
- 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

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Daily Email Digest",
  "nodes": [
    {
      "parameters": {
        "content": "Placeholder for Daily Email Digest",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "47d7b2cb-5d44-4625-aeab-33e0b7ce529f",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "daily-email-digest"
      },
      "id": "a079decc-ca6c-4248-b4c9-34deb17c8d26",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "8d196219-7de5-428e-8e88-420abfcc9237",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "8c20a8a3-3002-4d4f-b46f-cf859d229655",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        70,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "options": {},
        "indexName": "daily_email_digest"
      },
      "id": "ae6e7c84-9dbb-4ec7-a621-1a1e438941b6",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "daily_email_digest"
      },
      "id": "f3ba587a-bd11-418d-9998-395164701bd3",
      "name": "Supabase Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase",
        "description": "Vector context"
      },
      "id": "eed3ad49-c219-4c4a-b420-eff8b6401981",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "6622f4cb-bdbe-4c76-9ea0-25cf1e2ce2a4",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "edd62db3-4bfd-4ab4-b4e5-0e038b0beec1",
      "name": "Chat Model",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        450,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_API",
          "name": "Anthropic"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "Handle data",
        "options": {
          "systemMessage": "You are an assistant for Daily Email Digest"
        }
      },
      "id": "0e624e84-3f49-49d4-b0eb-a3268f6984d0",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Daily Email Digest"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": "Status",
          "schema": []
        }
      },
      "id": "dbec21d4-50e8-47a6-a920-6da576ebc01d",
      "name": "Append Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        930,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Google Sheets account"
        }
      }
    },
    {
      "parameters": {
        "channel": "#alerts",
        "text": "Daily Email Digest error: {$json.error.message}"
      },
      "id": "487c7190-b1d5-4770-b503-ec7ce44ad9ba",
      "name": "Slack Alert",
      "type": "n8n-nodes-base.slack",
      "typeVersion": 1,
      "position": [
        930,
        120
      ],
      "credentials": {
        "slackApi": {
          "id": "SLACK_API",
          "name": "Slack"
        }
      }
    }
  ],
  "connections": {
    "Webhook Trigger": {
      "main": [
        [
          {
            "node": "Text Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Window Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Text Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Supabase Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Supabase Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Supabase Insert": {
      "ai_document": [
        []
      ]
    },
    "Supabase Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Vector Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Vector Tool": {
      "ai_tool": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Window Memory": {
      "ai_memory": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat Model": {
      "ai_languageModel": [
        [
          {
            "node": "RAG Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "RAG Agent": {
      "main": [
        [
          {
            "node": "Append Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "onError": [
        [
          {
            "node": "Slack Alert",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  },
  "triggerCount": 1
}
```