Prompt: Build a workflow for: Appointment Whatsapp Notify

Response:
# Workflow Architecture

**Purpose**: Data Processing + Database

**Key Components**:
- Total Nodes: 12
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, n8n-nodes-base.slack, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Appointment WhatsApp Notify",
  "nodes": [
    {
      "parameters": {
        "content": "Automated workflow: Appointment WhatsApp Notify",
        "height": 530,
        "width": 1100,
        "color": 5
      },
      "id": "7d42a8e4-d9e6-46c6-b4b2-c489c79c3bf3",
      "name": "Sticky Note",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -480,
        -240
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "appointment-whatsapp-notify"
      },
      "id": "9f460db0-3b15-45a4-a04f-24ec690273d3",
      "name": "Webhook Trigger",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "ea6552ef-ebcc-4c99-9348-78a9b4f2ad2b",
      "name": "Text Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -130,
        0
      ]
    },
    {
      "parameters": {
        "model": "text-embedding-3-small",
        "options": {}
      },
      "id": "d919f86b-a52c-43ca-ac8c-b6dbf1ccbbcf",
      "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": "appointment_whatsapp_notify"
      },
      "id": "74081a07-d962-455e-b685-11d29c9e67ad",
      "name": "Supabase Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        270,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "appointment_whatsapp_notify"
      },
      "id": "7fda199c-926c-43ec-a604-972e82c7c0ef",
      "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": "069d2f87-d2ab-422e-ad9a-cb9d28562d17",
      "name": "Vector Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        450,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "0920c840-2c14-436a-8fbd-d4a53300cc05",
      "name": "Window Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        450,
        -40
      ]
    },
    {
      "parameters": {
        "options": {}
      },
      "id": "de83e37d-fe22-485d-8e38-8795be4284d9",
      "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 'Appointment WhatsApp Notify':\n\n{{ $json }}",
        "options": {
          "systemMessage": "You are an assistant for Appointment WhatsApp Notify"
        }
      },
      "id": "1b33a7d5-ea1d-4e8d-9a8c-d70165f468cf",
      "name": "RAG Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        720,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": {
          "__rl": true,
          "value": "SHEET_ID",
          "mode": "list",
          "cachedResultName": "Appointment WhatsApp Notify"
        },
        "sheetName": {
          "__rl": true,
          "value": "Log",
          "mode": "list",
          "cachedResultName": "Log"
        },
        "columns": {
          "mappingMode": "defineBelow",
          "value": {
            "Status": "={{$json[\"RAG Agent\"].text}}"
          },
          "schema": []
        }
      },
      "id": "5cc56f79-87d1-4926-8548-9ee1e8a60ffb",
      "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": "Appointment WhatsApp Notify error: {$json.error.message}"
      },
      "id": "25d22e2e-dc95-424a-b6e6-f5e9b5a889f9",
      "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: Ble Beacon Mapper

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "BLE Beacon Mapper",
  "nodes": [
    {
      "parameters": {
        "content": "## BLE Beacon Mapper",
        "height": 520,
        "width": 1100
      },
      "id": "3c047bdb-1988-40c3-9387-7f3cf850ecbf",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "ble_beacon_mapper"
      },
      "id": "9521a2f4-988b-4356-a645-f74e96199d91",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "c93b923e-630f-4794-86bc-c6a46dd75448",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "427efd54-920f-4c11-bcb6-e8fc8b2b06e8",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsHuggingFace",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "ble_beacon_mapper"
      },
      "id": "72d8f04d-916a-4968-83ef-c59d3285235a",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "ble_beacon_mapper"
      },
      "id": "ade1889a-c995-4adc-9729-80d02173f265",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone"
      },
      "id": "30a123d4-b21d-4078-8a9e-42cb0755f62f",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "690e6a80-9e31-43ee-b9df-a64412709646",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "8defd2b1-fc7d-4c45-a7ac-21535c4c9698",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "3202946a-2f52-4bae-bc6a-c0039a966396",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "b02fb6fe-bf01-46f4-a771-068e91eed04f",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


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

Response:
# Workflow Architecture

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

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatAnthropic, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Edge Device Log Compressor",
  "nodes": [
    {
      "parameters": {
        "content": "## Edge Device Log Compressor",
        "height": 520,
        "width": 1100
      },
      "id": "21a7ee40-e9a9-4f5d-a642-a4ca0bcd2173",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "edge_device_log_compressor"
      },
      "id": "71b01e81-30c5-41a2-ade1-17d6f5d801ac",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "fb59524e-9794-4ce5-9344-48f41f93791f",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "6bc51683-3627-43ba-b92d-80f431f18471",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "edge_device_log_compressor"
      },
      "id": "8c1ef0c2-1c1a-4dfb-a108-191146a74718",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "edge_device_log_compressor"
      },
      "id": "0ebd5f21-b97f-4f2e-aefc-8b5bbe80f2b9",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "name": "Redis"
      },
      "id": "1fd3ed50-a888-40db-a2f7-1e7f3969ed11",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "dca087fe-c0c8-49d6-a6ba-cac29c1a705b",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "7b812666-e822-4f6e-9096-fe03376736a7",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatAnthropic",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "anthropicApi": {
          "id": "ANTHROPIC_API",
          "name": "Anthropic"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "160f7edf-c21b-4e16-9ece-288aed8f04f1",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "77e495a4-073e-4594-b624-cedd0cf335e4",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: Build a workflow for: Environmental Data Dashboard

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Environmental Data Dashboard",
  "nodes": [
    {
      "parameters": {
        "content": "## Environmental Data Dashboard",
        "height": 520,
        "width": 1100
      },
      "id": "3205b068-2be2-41b8-8c68-dd13763c1ae5",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "environmental_data_dashboard"
      },
      "id": "bc0a6e3d-4271-4dae-90ea-dca965836eea",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "38e51c92-e2e2-44c6-a049-4ac92e5a66e7",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "0077ebd2-9261-4d49-b438-55074c052c7e",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "environmental_data_dashboard"
      },
      "id": "baa7b6a8-8fb1-414a-85a0-e3b37f4f6e61",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "environmental_data_dashboard"
      },
      "id": "5e3a8e25-d4ba-41d3-9395-274cba83266b",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate"
      },
      "id": "934c019d-96b9-49f0-b82d-40732f8c2929",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "57841262-7445-43ec-8250-b14bb6ff4f85",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "6984dd15-9475-4307-a4dd-b105226a21c6",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "b33b5784-70d6-4be6-beba-907780cc638a",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "8da77c27-26fb-41af-bf1d-fd90703ebe0c",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: How would you build: Industrial Iot Kpi Email?

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Industrial IoT KPI Email",
  "nodes": [
    {
      "parameters": {
        "content": "## Industrial IoT KPI Email",
        "height": 520,
        "width": 1100
      },
      "id": "943b1bcf-e3db-4693-b7d6-fcd06a9b1ddc",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "industrial_iot_kpi_email"
      },
      "id": "ed65e9c1-189a-451a-a353-86ae9e6fa985",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "3bb8b68e-b814-43fc-9236-f2e0615f43a1",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "65454d4a-94d6-4cd5-8b7d-52424158e0e4",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "industrial_iot_kpi_email"
      },
      "id": "8a1213d2-7cce-42c4-9106-3e4838896c7b",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "industrial_iot_kpi_email"
      },
      "id": "67f16894-cde9-4e15-96b2-4305dacb5184",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "name": "Redis"
      },
      "id": "96f6af1b-3417-44ee-a761-9b8ea00bed43",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "67cb649b-99d6-45f6-9278-7874202dbb04",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "2d8679dc-3e72-4b30-a3e4-33a991dad6fa",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "d1330858-7779-4352-b088-a8571b2556a4",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "dd69a3fa-4c57-4425-b609-1598a7583db9",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: How would you build: Iot Device Firmware Update Planner?

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.vectorStorePinecone, @n8n/n8n-nodes-langchain.embeddingsHuggingFace, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "IoT Device Firmware Update Planner",
  "nodes": [
    {
      "parameters": {
        "content": "## IoT Device Firmware Update Planner",
        "height": 520,
        "width": 1100
      },
      "id": "f55f7659-b41d-4789-9858-cd6d8d9651d5",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "iot_device_firmware_update_planner"
      },
      "id": "c39e47c8-e198-41e9-a7f6-108e475c70a9",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "1ecb126a-db25-4f0d-a8f6-fdf1004a6cc4",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "3b65e37b-20e8-4197-aa20-480c8e9fbef9",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsHuggingFace",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "iot_device_firmware_update_planner"
      },
      "id": "a1b9893a-4cc1-42b4-b042-2695d3aeb538",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "iot_device_firmware_update_planner"
      },
      "id": "dfd60aa1-5c21-474d-89e0-79918ce5e7c8",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone"
      },
      "id": "4378f4fb-739d-4a63-a6f5-6f7c14d38e56",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "1585288e-aedd-48c1-bca4-5f34ae5b26d6",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "2a969ef6-359e-428c-a6bc-3484cf659355",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "4e224ecc-d3fc-4e5e-a233-a17f2ebd49e6",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "e78fdda8-9964-47cf-a22d-a20cb2731cb6",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: How would you build: Mqtt Topic Monitor?

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "MQTT Topic Monitor",
  "nodes": [
    {
      "parameters": {
        "content": "## MQTT Topic Monitor",
        "height": 520,
        "width": 1100
      },
      "id": "5491692b-63b3-463e-982f-ac8b2af8888a",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "mqtt_topic_monitor"
      },
      "id": "67b89ca6-7381-4b63-be6a-a609764f40a8",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "642cab7e-89fd-484b-ba14-5a4955f68bad",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "20d6b7c2-8757-4487-88a2-9192c863320c",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "mqtt_topic_monitor"
      },
      "id": "99a15bd4-8347-4415-9146-763365d9e53d",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "mqtt_topic_monitor"
      },
      "id": "dd310d8e-19b5-46af-8fa4-80e08ba16414",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "name": "Redis"
      },
      "id": "ba010ae7-0e63-4b06-970a-838d7dc3b833",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "99da297c-57c7-469e-8c1a-2ef1c8e77464",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "e07b1578-30c7-41ca-9786-302b53b1da34",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "d6ba7bb2-c36d-4087-a1a7-8557ce2cbd57",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "a3b5ecb2-5cdd-495c-bd3f-f8fa00d5c15a",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: Show me an n8n workflow for predictive maintenance alert

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Predictive Maintenance Alert",
  "nodes": [
    {
      "parameters": {
        "content": "## Predictive Maintenance Alert",
        "height": 520,
        "width": 1100
      },
      "id": "2e0e493a-869a-4247-969b-201fc42e19cf",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "predictive_maintenance_alert"
      },
      "id": "f3fb69e8-a018-443e-9fc9-ab5f54df0198",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "975ab9e6-e924-4225-ad2f-ab71e063b744",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "2f19b9f0-eea2-41d7-af0c-7d40898f7369",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "predictive_maintenance_alert"
      },
      "id": "d64985d8-e50e-4010-9511-534318b2fcb5",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "predictive_maintenance_alert"
      },
      "id": "4bb2206e-2811-4ffd-a7d9-066dcab52bd0",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate"
      },
      "id": "fb950c91-9101-40dc-a975-e674cbd6d2f0",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "b7435da7-5ef7-4c2a-a024-6e97d698da8b",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "295cf4fb-3340-410b-879e-2bd1ef0a2233",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "0a77e315-a75c-460e-a902-33367c2983a7",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "f6f6a1fe-b857-45e7-a9f7-b0d9e5edac61",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


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

Response:
# Workflow Architecture

**Purpose**: Data Processing + Database

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Sensor Fault Detector",
  "nodes": [
    {
      "parameters": {
        "content": "## Sensor Fault Detector",
        "height": 520,
        "width": 1100
      },
      "id": "933fb344-a3db-465a-9180-9f742f470c01",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "sensor_fault_detector"
      },
      "id": "62b1f78f-c8ce-4766-9164-3895a7d31588",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "ea4be8e1-da41-4042-b288-f27936963d59",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "e733728d-8780-43d1-a2d3-fa2a6362617e",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "sensor_fault_detector"
      },
      "id": "299528ab-7894-4d2b-9f1f-cb820e0f98eb",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "sensor_fault_detector"
      },
      "id": "cb7e2015-bcc4-4da4-80f2-f46b9b1b1775",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase"
      },
      "id": "b4a7d93d-22c8-4541-8af2-4ebc7b13c21d",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "d48bc886-eab1-434f-9e2a-6f1355c5624e",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "b6b37d40-7254-4a81-aa96-379f5dcbe314",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "d9dd3f66-e25b-49c4-b8e6-08bccdd8252a",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "1270cb5c-4b3d-4c8c-b55e-dab01d2c13bf",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


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

Response:
# Workflow Architecture

**Purpose**: Data Processing + Database

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Smart Home Energy Saver",
  "nodes": [
    {
      "parameters": {
        "content": "## Smart Home Energy Saver",
        "height": 520,
        "width": 1100
      },
      "id": "45bd46ac-74e0-4bbb-8325-f773e0dfea25",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "smart_home_energy_saver"
      },
      "id": "87f961b3-05e1-4ee4-88a6-a144b2557efc",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "42425853-cd36-46a4-a210-d7e28e0e6eef",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "2c71e763-3236-4d24-9c31-e2fc6e5a5418",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "smart_home_energy_saver"
      },
      "id": "1c3ee001-f218-4c0c-a5a5-ff2fae933778",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "smart_home_energy_saver"
      },
      "id": "b7d0bc10-6b09-4a7a-8d16-f092a116f2a1",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase"
      },
      "id": "ef6500b2-66aa-4393-ad1a-fe20b5f34f00",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "ce595de2-4059-4bd4-9b3f-1a225cbd453f",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "5cd95ffd-f322-4c3b-b799-e6a9a8012ef1",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "b2e6ba7e-a99e-41d5-9471-b70f36c8080e",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "b7acd595-f3a0-46d7-ab7c-a9d18072e2cf",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: Show me an n8n workflow for vehicle telematics analyzer

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.vectorStoreRedis, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Vehicle Telematics Analyzer",
  "nodes": [
    {
      "parameters": {
        "content": "## Vehicle Telematics Analyzer",
        "height": 520,
        "width": 1100
      },
      "id": "3a428bea-5b5d-418d-aea3-6702e195eaff",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "vehicle_telematics_analyzer"
      },
      "id": "cc171ef1-366e-450c-b8c0-1f4be0cc100c",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "236b9d8a-fd92-4525-b6e3-89eceaee9826",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "49a5217e-b9dd-4c9d-a05e-e117cbc2f4a3",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "vehicle_telematics_analyzer"
      },
      "id": "af19e123-7ee5-4628-88da-affa9ea417c9",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "vehicle_telematics_analyzer"
      },
      "id": "d8b469f0-7927-4406-a3d7-c2695db16244",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreRedis",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "redisApi": {
          "id": "REDIS_API",
          "name": "Redis account"
        }
      }
    },
    {
      "parameters": {
        "name": "Redis"
      },
      "id": "22c4c0d5-c147-4c3d-82db-7d48d8238bb1",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "5cd9b107-b5dc-4429-8fed-ef0dbeecd22d",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "17e82f20-81ce-4a16-826f-3021958e3c5b",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "b2493e79-03b0-446b-a21d-f6e80acfe401",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "b0e6955f-7d88-44f3-adae-41b5920328f0",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: Show me an n8n workflow for case law summarizer

Response:
# Workflow Architecture

**Purpose**: Data Processing + Database

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreSupabase, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Case Law Summarizer",
  "nodes": [
    {
      "parameters": {
        "content": "## Case Law Summarizer",
        "height": 520,
        "width": 1100
      },
      "id": "006b4ac8-2240-4377-8187-c75ea40decd4",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "case_law_summarizer"
      },
      "id": "227c2cd5-dac0-4605-ad24-ece826a73ecd",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "0a8ac20a-08b4-42d4-b262-d5ff3c038f00",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "63a3c905-3d2c-4abe-bf0f-495545792f87",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "case_law_summarizer"
      },
      "id": "892173fb-f931-44d9-9e1e-134c71ec790e",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "case_law_summarizer"
      },
      "id": "4f1f0bf3-db65-4714-9f4a-da40a9e379dc",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "supabaseApi": {
          "id": "SUPABASE_API",
          "name": "Supabase account"
        }
      }
    },
    {
      "parameters": {
        "name": "Supabase"
      },
      "id": "d5912b1d-60d5-4b91-851a-915fb49b1ae9",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "b7fd299a-99b0-4ae0-bda0-fc77583f869e",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "16c7cd0f-ad11-4869-940e-13d321d445b5",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "e5198aee-0eeb-40dc-9b5b-113a423049dc",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "fc62655e-9611-4eba-a44e-63f56903c218",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: Create an n8n automation that handles data processing

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, @n8n/n8n-nodes-langchain.lmChatHf, @n8n/n8n-nodes-langchain.vectorStorePinecone, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Compliance Checklist Builder",
  "nodes": [
    {
      "parameters": {
        "content": "## Compliance Checklist Builder",
        "height": 520,
        "width": 1100
      },
      "id": "ab247f10-1d2f-4ac7-9f3c-f35aa6a45322",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "compliance_checklist_builder"
      },
      "id": "7ef9aaea-8153-4413-a674-f681a326ffb1",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "4ff381cb-094c-42ce-82a3-8f611f2968d5",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "61a3b700-34fc-48d7-a048-98a0c35a4a62",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "compliance_checklist_builder"
      },
      "id": "2b5fa4fa-460b-4adf-8f51-43d891442d08",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "compliance_checklist_builder"
      },
      "id": "37fe1e14-70a0-48a0-ba7c-eb3187ecd42a",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "pineconeApi": {
          "id": "PINECONE_API",
          "name": "Pinecone account"
        }
      }
    },
    {
      "parameters": {
        "name": "Pinecone"
      },
      "id": "e5e90acd-e873-4d68-b864-8854563e2d25",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "43595b29-5265-416c-9c15-c2e3d411dbea",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "89461d4a-bd10-4f14-97f4-182053640dee",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatHf",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "huggingFaceApi": {
          "id": "HF_API",
          "name": "HuggingFace"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "a14a872e-78ef-43f2-afd1-cad697bf4b53",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "4719e718-aaba-4e5a-9592-e6e3d702af12",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```


Prompt: How would you build: Contract Clause Extractor?

Response:
# Workflow Architecture

**Purpose**: Data Processing

**Key Components**:
- Total Nodes: 11
- Node Types: @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.embeddingsCohere, @n8n/n8n-nodes-langchain.vectorStoreWeaviate, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, n8n-nodes-base.webhook, n8n-nodes-base.stickyNote, n8n-nodes-base.googleSheets

**Logic Flow**:

## Complete Workflow JSON

```json
{
  "name": "Contract Clause Extractor",
  "nodes": [
    {
      "parameters": {
        "content": "## Contract Clause Extractor",
        "height": 520,
        "width": 1100
      },
      "id": "1bda7454-93fe-405b-a456-4586cfb756ed",
      "name": "Sticky",
      "type": "n8n-nodes-base.stickyNote",
      "typeVersion": 1,
      "position": [
        -500,
        -250
      ]
    },
    {
      "parameters": {
        "httpMethod": "POST",
        "path": "contract_clause_extractor"
      },
      "id": "566f27e4-26bb-466c-9503-4fadf291f227",
      "name": "Webhook",
      "type": "n8n-nodes-base.webhook",
      "typeVersion": 1,
      "position": [
        -300,
        0
      ]
    },
    {
      "parameters": {
        "chunkSize": 400,
        "chunkOverlap": 40
      },
      "id": "f1c5db12-a8f8-4d23-b50e-8e4b31142ece",
      "name": "Splitter",
      "type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
      "typeVersion": 1,
      "position": [
        -100,
        0
      ]
    },
    {
      "parameters": {
        "model": "default"
      },
      "id": "78647328-096a-40e6-875d-764a277977a8",
      "name": "Embeddings",
      "type": "@n8n/n8n-nodes-langchain.embeddingsCohere",
      "typeVersion": 1,
      "position": [
        100,
        0
      ],
      "credentials": {
        "cohereApi": {
          "id": "COHERE_API",
          "name": "Cohere"
        }
      }
    },
    {
      "parameters": {
        "mode": "insert",
        "indexName": "contract_clause_extractor"
      },
      "id": "3fb26948-57ed-496b-91e3-c65592ea2fd6",
      "name": "Insert",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        0
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "indexName": "contract_clause_extractor"
      },
      "id": "828831c5-57b6-4c94-8eb0-4086a2c07f90",
      "name": "Query",
      "type": "@n8n/n8n-nodes-langchain.vectorStoreWeaviate",
      "typeVersion": 1,
      "position": [
        300,
        -180
      ],
      "credentials": {
        "weaviateApi": {
          "id": "WEAVIATE_API",
          "name": "Weaviate account"
        }
      }
    },
    {
      "parameters": {
        "name": "Weaviate"
      },
      "id": "34820e0b-bb70-4098-9ed0-36ae1a8ac092",
      "name": "Tool",
      "type": "@n8n/n8n-nodes-langchain.toolVectorStore",
      "typeVersion": 1,
      "position": [
        480,
        -180
      ]
    },
    {
      "parameters": {},
      "id": "4032a3d8-27c9-44a4-a0c2-a4be30e15375",
      "name": "Memory",
      "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
      "typeVersion": 1.3,
      "position": [
        480,
        -40
      ]
    },
    {
      "parameters": {},
      "id": "8533ad0d-28c1-4549-8347-243f4dc1f4e2",
      "name": "Chat",
      "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
      "typeVersion": 1,
      "position": [
        480,
        -340
      ],
      "credentials": {
        "openAiApi": {
          "id": "OPENAI_API",
          "name": "OpenAI"
        }
      }
    },
    {
      "parameters": {
        "promptType": "define",
        "text": "={{ $json }}"
      },
      "id": "8326aa20-f9e9-4ac2-8a4e-618d54a8d415",
      "name": "Agent",
      "type": "@n8n/n8n-nodes-langchain.agent",
      "typeVersion": 1,
      "position": [
        760,
        -40
      ]
    },
    {
      "parameters": {
        "operation": "append",
        "documentId": "SHEET_ID",
        "sheetName": "Log"
      },
      "id": "96b4b7cd-7fb8-459b-acd4-55f0ebf6a431",
      "name": "Sheet",
      "type": "n8n-nodes-base.googleSheets",
      "typeVersion": 4,
      "position": [
        960,
        -40
      ],
      "credentials": {
        "googleSheetsOAuth2Api": {
          "id": "SHEETS_API",
          "name": "Sheets"
        }
      }
    }
  ],
  "connections": {
    "Webhook": {
      "main": [
        [
          {
            "node": "Splitter",
            "type": "main",
            "index": 0
          },
          {
            "node": "Memory",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Splitter": {
      "main": [
        [
          {
            "node": "Embeddings",
            "type": "main",
            "index": 0
          }
        ]
      ],
      "ai_textSplitter": [
        [
          {
            "node": "Insert",
            "type": "ai_textSplitter",
            "index": 0
          }
        ]
      ]
    },
    "Embeddings": {
      "ai_embedding": [
        [
          {
            "node": "Insert",
            "type": "ai_embedding",
            "index": 0
          },
          {
            "node": "Query",
            "type": "ai_embedding",
            "index": 0
          }
        ]
      ]
    },
    "Insert": {
      "ai_document": [
        []
      ]
    },
    "Query": {
      "ai_vectorStore": [
        [
          {
            "node": "Tool",
            "type": "ai_vectorStore",
            "index": 0
          }
        ]
      ]
    },
    "Tool": {
      "ai_tool": [
        [
          {
            "node": "Agent",
            "type": "ai_tool",
            "index": 0
          }
        ]
      ]
    },
    "Memory": {
      "ai_memory": [
        [
          {
            "node": "Agent",
            "type": "ai_memory",
            "index": 0
          }
        ]
      ]
    },
    "Chat": {
      "ai_languageModel": [
        [
          {
            "node": "Agent",
            "type": "ai_languageModel",
            "index": 0
          }
        ]
      ]
    },
    "Agent": {
      "main": [
        [
          {
            "node": "Sheet",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  },
  "settings": {
    "executionOrder": "v1"
  }
}
```