Prompt: How would you build: Return Ticket Assignment?

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": "Return Ticket Assignment",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Return Ticket Assignment",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "cbf21ee8-16ca-407f-a884-b0526e4a2eb1",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "return-ticket-assignment"
      },
      "id": "7c5bb0f6-8671-4667-836c-1500b9ce84fc",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "0de0f19b-17ba-486a-a671-12112ba4de71",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "ab8bfdd4-5f61-41a9-bed3-ffdf8f5d5db1",
      "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": "return_ticket_assignment"
      },
      "id": "368b46e7-74fe-416b-9777-16cf44229b82",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "return_ticket_assignment"
      },
      "id": "a8bd3df3-542b-45cd-b8f0-ec90890e6fec",
      "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": "aaacc9b7-0890-45a6-8fed-5536818481e1",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "ec45d993-1d63-4f02-87b6-69463dad4993",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "0a9ff85c-45c7-444d-a5a3-746727f1ca74",
      "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 'Return Ticket Assignment':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Return Ticket Assignment"
        }
      },
      "id": "f00a1845-2a8f-4e61-859b-dfd99c63fa83",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Return Ticket Assignment"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "e9883d8f-0e72-4eeb-b27b-e337525028e4",
      "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": "Return Ticket Assignment error: {$json.error.message}"
      },
      "id": "26cf514c-271c-48ca-aa4d-07b5ce29bbdf",
      "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: Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to rss headlines slack

Response:
# Workflow Architecture

**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": "RSS Headlines Slack",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: RSS Headlines Slack",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "eef04ed8-9911-437e-a4de-a97bb4008584",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "rss-headlines-slack"
      },
      "id": "9a8d1358-96d4-4234-a729-4e0e4ced17f3",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "b65c9914-f17c-40e3-b297-4829b6ca48c0",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "794ba230-95a3-4309-ab88-e048833c8f32",
      "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": "rss_headlines_slack",
          "mode": "list",
          "cachedResultName": "rss_headlines_slack"
        }
      },
      "id": "121535eb-291a-43da-beef-22fb7b8e61e2",
      "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": "rss_headlines_slack",
          "mode": "list",
          "cachedResultName": "rss_headlines_slack"
        }
      },
      "id": "1007022a-f3f8-45e0-a172-3a722ef55013",
      "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": "45bba375-133f-4e21-b3f5-44129052232c",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "4260b8fd-8881-4c50-8d0c-ec3ff10dd94e",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "5dc099ae-249d-409d-acf2-1f6a50ecc270",
      "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 'RSS Headlines Slack':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for RSS Headlines Slack"
        }
      },
      "id": "f799ca8c-9622-4a74-b21a-6c84c8ec458a",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "RSS Headlines Slack"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "24e74dce-aaf5-48d8-abd9-4a052dbb378c",
      "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": "RSS Headlines Slack error: {$json.error.message}"
      },
      "id": "b225130c-f97e-4652-baac-a2afd1049a9d",
      "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/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Server Health Grafana",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Server Health Grafana",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "d2ba1e2d-bcbc-45e4-bd37-73668fce5802",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "server-health-grafana"
      },
      "id": "eb7fca76-66e2-4fa1-ab00-09b4c0817961",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "7db01be8-61d6-4c89-9800-db7b62eb7fcf",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "66a0f30e-32ee-4ef3-823c-82b4a1af354c",
      "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": "server_health_grafana"
      },
      "id": "6ea57ca4-3426-4820-a293-78565186c35e",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "server_health_grafana"
      },
      "id": "443a366d-7547-4bda-b066-91fb43d60aed",
      "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": "fdbc5d42-f717-414e-a775-235a0de386e9",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "48c210ef-2004-4ef4-b2f9-d2dab2f5d391",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "86681bd5-9377-4348-a411-caf2a0b9887b",
      "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 'Server Health Grafana':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Server Health Grafana"
        }
      },
      "id": "78773e49-4558-4ec1-a740-adfd2f177a9f",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Server Health Grafana"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "77eccce3-bf9e-4d3a-9262-820db8faaeec",
      "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": "Server Health Grafana error: {$json.error.message}"
      },
      "id": "2f5f6b7a-45d8-4f54-8b06-af95c6032926",
      "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: Starred Slack To Notion?

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/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Starred Slack to Notion",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Starred Slack to Notion",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "3394fb98-3259-414f-bc1e-a478f9bb48ce",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "starred-slack-to-notion"
      },
      "id": "634c2549-c8a7-4ed6-9f8f-286ac52e728e",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "496b5b4a-59fb-48d9-834c-8e43123d4f40",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "86d40b9f-1b53-4751-a02f-6fc7cda4543c",
      "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": "starred_slack_to_notion"
      },
      "id": "d83c9acd-dd15-4965-b024-51acdea5d1be",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "starred_slack_to_notion"
      },
      "id": "41eed679-dece-4a2c-96ea-8a97076c3429",
      "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": "efc47245-60b6-4692-84aa-1a2a0c0c1324",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "1c9592de-238c-492a-9a0c-87390d366956",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "eab396da-9252-4a29-964c-0aa3abac4044",
      "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 'Starred Slack to Notion':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Starred Slack to Notion"
        }
      },
      "id": "103d9ff8-a291-46fc-aa5b-fbdef7f6c61d",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Starred Slack to Notion"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "0af20245-042c-4192-beb1-915218f01f11",
      "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": "Starred Slack to Notion error: {$json.error.message}"
      },
      "id": "a765761c-52d0-4e72-a26f-9fd514a9a2b1",
      "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: Design a workflow using @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi to survey auto analyze

Response:
# Workflow Architecture

**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": "Survey Auto Analyze",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Survey Auto Analyze",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "e57a6111-23c7-46fc-8321-8cb81c12e0ff",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "survey-auto-analyze"
      },
      "id": "69582a00-cb89-4618-9181-ed5c900b5d37",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "38c659ff-d227-436b-ace0-e8f19d04be21",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "7e5e5bb2-b8ac-410a-8daa-41d994652f61",
      "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": "survey_auto_analyze",
          "mode": "list",
          "cachedResultName": "survey_auto_analyze"
        }
      },
      "id": "01a6fea8-0a4f-4a2b-941c-95f1fd7c7f87",
      "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": "survey_auto_analyze",
          "mode": "list",
          "cachedResultName": "survey_auto_analyze"
        }
      },
      "id": "c81e7845-06d4-4653-aa6f-c8f86c47ed5b",
      "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": "d7ee429c-5e5a-4fc1-aaa5-5487bade9563",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "c420b709-36dd-41f0-877e-776b99b5bb7c",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "b184a9f5-b15c-4870-9484-4d7645bb0fb5",
      "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 'Survey Auto Analyze':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Survey Auto Analyze"
        }
      },
      "id": "9b3a3954-60fa-4819-8dd1-9f7dfb9753f1",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Survey Auto Analyze"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "349b2a7a-e0c7-4629-83d5-42656bb34486",
      "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": "Survey Auto Analyze error: {$json.error.message}"
      },
      "id": "304fd227-5d2b-4dd6-9ddc-1f79adc5aade",
      "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": "Toggl Daily Report",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Toggl Daily Report",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "90116b46-a456-448a-9dda-333b3688f86c",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "toggl-daily-report"
      },
      "id": "3fbc7512-72c5-46c4-bd02-573c27d029f1",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "e5106852-2d61-4bdd-bbfb-53ca2517555d",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "1118d7ea-3e7d-411f-85e8-ad0de51c3e88",
      "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": "toggl_daily_report",
          "mode": "list",
          "cachedResultName": "toggl_daily_report"
        }
      },
      "id": "7b34c0e1-07d7-4488-b794-7d394b5fab7b",
      "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": "toggl_daily_report",
          "mode": "list",
          "cachedResultName": "toggl_daily_report"
        }
      },
      "id": "506ba0dd-a095-4a85-8d63-36b7fbae2fbf",
      "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": "1683b741-68d8-45fd-a976-4cc8ef37a47a",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "e8d33ed2-1eba-427d-a874-e9b3b32d2b49",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "e3f9ca1d-92c7-41f5-8da1-0855273f5dd3",
      "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 'Toggl Daily Report':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Toggl Daily Report"
        }
      },
      "id": "4b343b9b-415f-4f66-b7dd-c7efb87ac836",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Toggl Daily Report"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "2d657857-6a0c-48ff-9f2f-edcaffa10f0e",
      "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": "Toggl Daily Report error: {$json.error.message}"
      },
      "id": "9747b5e6-d32e-4038-aa7f-620f9e5ff58f",
      "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: Show me an n8n workflow for unsplash to pinterest

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": "Unsplash to Pinterest",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Unsplash to Pinterest",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "8da48de7-ef4d-4d78-8c0e-3c6b57ef3b9a",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "unsplash-to-pinterest"
      },
      "id": "672c0eab-878f-484d-a072-9482935437c4",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "87553792-b816-44e2-ac2f-64d0f9a5adf5",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "d8a5b9d0-b59f-49d2-9b1c-99149dd6d71b",
      "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": "unsplash_to_pinterest"
      },
      "id": "6f194f04-7764-4a60-a36a-027d5c1410f7",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "unsplash_to_pinterest"
      },
      "id": "9f1eabc4-1dfe-4271-94e3-e1ec9b402828",
      "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": "20fe470d-efef-462c-8641-13589cf31512",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "e9979d17-c88a-4964-81d8-c5508f03d709",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "e3ac4cbe-35ee-48d3-bb1d-f840f6ee1b77",
      "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 'Unsplash to Pinterest':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Unsplash to Pinterest"
        }
      },
      "id": "8b13c89e-4f09-4e5a-9ef9-bcea4bc692de",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Unsplash to Pinterest"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "d273d2ef-dd98-4e0d-a03f-77e5d22e772e",
      "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": "Unsplash to Pinterest error: {$json.error.message}"
      },
      "id": "8cddb37e-ed6a-4ad5-a88e-e2b393f07114",
      "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: Build a workflow for: Voice Task To Notion

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": "Voice Task to Notion",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Voice Task to Notion",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "788c7113-8566-49c8-b7af-3313f57a479c",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "voice-task-to-notion"
      },
      "id": "aaf99a8a-1412-455a-97ed-f853121f366f",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "917142f0-7738-4fde-b862-b763463248a6",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "b17227b4-2631-41f6-bc3b-45ca977de46a",
      "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": "voice_task_to_notion"
      },
      "id": "7f0fa79f-e276-4a66-8120-66e94ba4c045",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "voice_task_to_notion"
      },
      "id": "a9a11174-df20-483b-85fd-d9126b715aca",
      "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": "b337a057-1ccd-46d1-9d44-ee1512a8c5cd",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "ca6d53a5-1b46-43c4-8dfa-86e38c115898",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "69538d38-2f88-41bb-ad85-3370afbbc873",
      "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 'Voice Task to Notion':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Voice Task to Notion"
        }
      },
      "id": "f1388a0a-3d58-4291-8538-f82000579f4c",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Voice Task to Notion"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "b92d452b-d59b-4177-a4fa-4985b33bdb44",
      "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": "Voice Task to Notion error: {$json.error.message}"
      },
      "id": "ea200b2e-d1ad-45e5-9d39-4b502e4f6f86",
      "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: Show me an n8n workflow for weekly notes backup

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/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Weekly Notes Backup",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Weekly Notes Backup",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "09f96970-f5ea-401a-bf0b-0035b1ae502a",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "weekly-notes-backup"
      },
      "id": "0cf773d3-bb5a-467b-8059-746735a95815",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "34029e24-83b2-4e0d-afe4-52510a3c20e4",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "0318220f-be7c-43ff-8b23-01bc841d6160",
      "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": "weekly_notes_backup"
      },
      "id": "b6c46a40-013a-45fc-b942-614ea6a9077b",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "weekly_notes_backup"
      },
      "id": "d154672e-8623-47e1-bd2f-eb50df358f3e",
      "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": "5e598772-1a0b-4afb-8fcd-4339843923c0",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "0d9605c9-b48d-4509-b542-5b671f4c5609",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "94e7ea25-d825-4729-ad5a-b9a545f7fc43",
      "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 'Weekly Notes Backup':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Weekly Notes Backup"
        }
      },
      "id": "4497ea3b-8f08-4db2-a18a-c0d2e2d4c1f4",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Weekly Notes Backup"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "e91c44c2-ae2f-4c8b-a49c-86b529efb775",
      "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": "Weekly Notes Backup error: {$json.error.message}"
      },
      "id": "49273683-737d-48b5-bf48-48d3233437f8",
      "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: Woo Order Mailchimp?

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/n8n-nodes-langchain.vectorStoreWeaviate, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Woo Order Mailchimp",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Woo Order Mailchimp",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "0dd507e4-f32b-4c4c-85d9-26316c63c0e0",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "woo-order-mailchimp"
      },
      "id": "42aa0b71-1c9f-48d7-b339-94919de26da1",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "38bd53d5-c599-45cb-bd28-f52fe513a687",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "fbb0666b-b845-4490-ad86-25713c97a122",
      "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": "woo_order_mailchimp"
      },
      "id": "d85253d5-b3b8-452b-8153-996f7b6c9bca",
      "name": "Weaviate Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "woo_order_mailchimp"
      },
      "id": "6cefb367-4cde-4c48-bdb8-c90ecc5215fc",
      "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": "356012ed-5c87-4b07-8ddb-e0afe3c3faec",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "12fd721e-e3f6-4f61-a709-2b4c9821e373",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "a16d1695-9c1a-40f7-86a9-99b081045a20",
      "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 'Woo Order Mailchimp':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Woo Order Mailchimp"
        }
      },
      "id": "10ea4d67-7ee6-466f-b8c9-5847177d478a",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Woo Order Mailchimp"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "fb5c5c60-aa5d-40fb-aeed-e6a47f4bc030",
      "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": "Woo Order Mailchimp error: {$json.error.message}"
      },
      "id": "d54c4d1f-2ce2-431d-8a37-2f2e6d23f6da",
      "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: Show me an n8n workflow for zoom attendance log

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": "Zoom Attendance Log",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Zoom Attendance Log",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "30425599-20bc-4cab-84fb-a97a7d936dd8",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "zoom-attendance-log"
      },
      "id": "40e28ff7-25fe-4260-9dff-fc7b0fb83b9e",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "0ebd915f-62ad-4a37-ae47-94a492b82d74",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "97982daf-72b3-4c42-aea3-e33642422cfd",
      "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": "zoom_attendance_log"
      },
      "id": "092e9417-d39a-407f-8c39-2bc28184c6ea",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "zoom_attendance_log"
      },
      "id": "93de8859-cdbb-4783-9706-5696e8ba6876",
      "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": "a729203a-897a-4851-a525-8291cf9589dd",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "38493122-32dc-4b8e-b56f-53f6837c0d7a",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "68814235-d4fc-4c02-b9ba-776e84284e5a",
      "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 'Zoom Attendance Log':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Zoom Attendance Log"
        }
      },
      "id": "ea407af4-b883-4fc3-84df-3c04e885c01c",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Zoom Attendance Log"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "ccf323a1-9823-458d-ac99-44cbe2ec704c",
      "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": "Zoom Attendance Log error: {$json.error.message}"
      },
      "id": "f15f021b-938c-4521-86ff-648a8169309f",
      "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: Build a workflow for: Morning Briefing Email

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/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": "Morning Briefing Email",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Morning Briefing Email",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "290fb569-25f2-4464-8d96-bab3c4cb3276",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "morning-briefing-email"
      },
      "id": "13727821-7b64-46b6-96bd-7b97dd43d06e",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "b0725ca4-2727-4201-a9bd-cb219ff1508f",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "embed-english-v3.0",
        "options": {}
      },
      "id": "af97f001-e5ea-49fb-ac6b-b2d30730c3e8",
      "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": "morning_briefing_email"
      },
      "id": "63c51bdb-fbd9-43a9-bacf-f5c6d39aedb3",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "morning_briefing_email"
      },
      "id": "8304ff6a-c852-4c49-895c-00ac13314028",
      "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": "e330bfdb-576e-44d1-b8cf-73a829b898e3",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "ab1dd014-0dc8-4635-9dad-f728310f2b86",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "6320a7d3-7bc0-47cf-9052-43a60ad9ae28",
      "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 'Morning Briefing Email':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Morning Briefing Email"
        }
      },
      "id": "f0c605d8-4612-4402-80ee-ae9e9d05044d",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Morning Briefing Email"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "101334a4-b2d6-4095-b095-f0934b2f17af",
      "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": "Morning Briefing Email error: {$json.error.message}"
      },
      "id": "7e567cd3-ecc8-4b95-80e4-a9a8a12de770",
      "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
}
```