{
  "workflow": {
    "id": 10828,
    "name": "Smart chat assistant with GPT-5, Google Sheets, and Pinecone RAG memory",
    "views": 357,
    "recentViews": 1,
    "totalViews": 357,
    "createdAt": "2025-11-14T12:18:24.279Z",
    "description": "## 📊 Description\nEmpower your workflows with an intelligent AI chat assistant that retrieves real-time context from Google Sheets and a Pinecone knowledge base using Retrieval-Augmented Generation (RAG). 🤖📂\n This workflow processes chat messages, retrieves relevant contextual data, generates natural and context-aware responses via OpenAI GPT-5, and automatically logs every interaction in Google Sheets. It also auto-indexes new documents from Google Drive into Pinecone for knowledge expansion and emails weekly chat history summaries for review. 💬📊\n\n## What This Template Does\n1️⃣ Chat Trigger – Receives incoming chat messages through a webhook. 💬\n 2️⃣ Data Enrichment – Extracts topic, intent, and context from messages. 🧩\n 3️⃣ Context Retrieval – Fetches structured data from Google Sheets and semantic data from Pinecone. 🧠\n 4️⃣ AI Response Generation – Uses GPT-5 to produce relevant, human-like replies with contextual references. 🤖\n 5️⃣ Conversation Logging – Stores chat sessions with timestamps and detected intent in Google Sheets. 📋\n 6️⃣ Knowledge Base Expansion – Automatically indexes new files from Google Drive to Pinecone for future RAG responses. 📂\n 7️⃣ Weekly Report – Aggregates all chats and sends an email summary with logs attached via Gmail every Monday. 📧\n\n## Key Benefits\n✅ AI chat assistant with contextual accuracy using RAG\n ✅ Auto-updating knowledge base via Google Drive → Pinecone\n ✅ End-to-end chat tracking and audit-ready logging\n ✅ Weekly performance reports via Gmail\n ✅ Seamless integration with Google Workspace\n\n## Features\n- Retrieval-Augmented Generation (RAG) workflow\n- Google Sheets integration for structured memory\n- Pinecone vector database for semantic retrieval\n- GPT-5 for context-aware conversation generation\n- Google Drive watcher for automatic knowledge updates\n- Gmail integration for weekly report delivery\n- Built-in JSON validation and session memory\n\n## Requirements\n- OpenAI API key (GPT-4/GPT-5)\n- Google Sheets OAuth2 credentials\n- Pinecone API credentials\n- Google Drive OAuth2 credentials\n- Gmail OAuth2 credentials\n\n## Replace:\n- PINECONE_INDEX with your index name\n- GOOGLE_SHEET_ID with your log sheet ID\n- GOOGLE_DRIVE_FOLDER_ID with monitored folder\n\n## Target Audience\n- Support and helpdesk automation teams 💬\n- AI chatbot developers enhancing context recall 🤖\n- Businesses maintaining searchable conversation history 🏢\n- Knowledge managers syncing chat + document intelligence 🧠\n\n## Step-by-Step Setup Instructions\n1️⃣ Connect your OpenAI, Pinecone, Google Sheets, Google Drive, and Gmail credentials.\n 2️⃣ Update the Pinecone index and Google Sheet ID in the nodes.\n 3️⃣ Set your chat webhook URL for real-time message input.\n 4️⃣ Add your Google Drive folder ID for automated knowledge ingestion.\n 5️⃣ Test the chat workflow with sample messages.\n 6️⃣ Enable the schedule trigger to email weekly chat logs automatically. ✅\n",
    "workflow": {
      "id": "zncb3ZRHYeJMrDYv",
      "meta": {
        "instanceId": "8443f10082278c46aa5cf3acf8ff0f70061a2c58bce76efac814b16290845177",
        "templateCredsSetupCompleted": true
      },
      "name": "AI Chat Response Generation with Google Sheets Context and Pinecone RAG Memory",
      "tags": [],
      "nodes": [
        {
          "id": "33071869-c1ec-4cde-9cac-9e654b609658",
          "name": "Sticky Note",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            960,
            -32
          ],
          "parameters": {
            "width": 419,
            "height": 544,
            "content": "## 🤖 AI Chat Assistant with RAG & Auto-Logging\n\n### How it works\nThis workflow powers an intelligent chat assistant that retrieves context from a Pinecone knowledge base and Google Sheets, responds naturally using OpenAI GPT-5, and logs all conversations automatically. It also includes a weekly email export feature that sends chat history summaries via Gmail.\n\n### Setup steps\n1. **Connect credentials**: OpenAI API, Google Sheets OAuth2, Pinecone API, Google Drive OAuth2, Gmail OAuth2\n2. **Configure Google Sheet**: Update the document ID to point to your conversation log sheet\n3. **Set Pinecone index**: Replace `whatsappchatbot` with your vector database index name\n4. **Test the chat**: Use the chat trigger URL to send a test message\n5. **Upload knowledge**: Add files to the Google Drive folder to auto-index into Pinecone"
          },
          "typeVersion": 1
        },
        {
          "id": "41cffb83-bd63-44cb-8504-a04315ce6025",
          "name": "Sticky Note1",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            960,
            560
          ],
          "parameters": {
            "color": 2,
            "width": 331,
            "height": 354,
            "content": "## 💬 Chat Interface & Pre-Processing\nReceives user messages via webhook, enriches them with intent/topic metadata, then routes to the AI agent for context-aware responses."
          },
          "typeVersion": 1
        },
        {
          "id": "0318e95a-3c1d-404d-8610-20ce2dd360dd",
          "name": "Sticky Note2",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1312,
            560
          ],
          "parameters": {
            "color": 2,
            "width": 668,
            "height": 579,
            "content": "## 🧠 AI Agent Core\nGPT-5 agent with memory, JSON output enforcement, and dual tools: retrieves context from Google Sheets (structured data) and Pinecone (semantic knowledge base)."
          },
          "typeVersion": 1
        },
        {
          "id": "29cffe39-e931-4389-8c80-cf83dabc1a89",
          "name": "Sticky Note3",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1984,
            560
          ],
          "parameters": {
            "color": 2,
            "width": 314,
            "height": 434,
            "content": "## 📊 Conversation Logging\nEvery chat interaction is logged to Google Sheets with timestamp, user input, detected intent, and AI response for analytics and audit trails."
          },
          "typeVersion": 1
        },
        {
          "id": "7a5c8124-a076-423a-b351-d33a9a127395",
          "name": "Sticky Note4",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1168,
            2080
          ],
          "parameters": {
            "color": 2,
            "width": 827,
            "height": 705,
            "content": "## 📂 Knowledge Base Auto-Indexing\nMonitors a Google Drive folder for new files (PDFs, docs), downloads them, splits into chunks, generates embeddings, and stores in Pinecone for RAG retrieval."
          },
          "typeVersion": 1
        },
        {
          "id": "ac997af3-8cd9-4ffc-92b9-71a9837cb367",
          "name": "Sticky Note5",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            1184,
            1440
          ],
          "parameters": {
            "color": 2,
            "width": 1457,
            "height": 465,
            "content": "## 📧 Weekly Chat History Export\nRuns every Monday at 10 PM, aggregates all logged conversations from Google Sheets, converts to a text file, and emails it as an attachment for record-keeping."
          },
          "typeVersion": 1
        },
        {
          "id": "3acb4a69-4716-4afb-9d23-48e61f4a1896",
          "name": "Sticky Note6",
          "type": "n8n-nodes-base.stickyNote",
          "position": [
            2432,
            2576
          ],
          "parameters": {
            "color": 3,
            "width": 340.45801526717554,
            "height": 184.88549618320613,
            "content": "## 🔐 Credentials & Security\nRequires OAuth2 for Google services, API keys for OpenAI and Pinecone. Replace all credential IDs and document/folder IDs with your own. Never share API keys publicly."
          },
          "typeVersion": 1
        },
        {
          "id": "b3752497-5f33-4afb-88f9-7dcb1670f364",
          "name": "Short-Term Memory",
          "type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
          "position": [
            1568,
            960
          ],
          "parameters": {
            "sessionKey": "chat-rag-session",
            "sessionIdType": "customKey",
            "contextWindowLength": 7
          },
          "typeVersion": 1.3
        },
        {
          "id": "07e78867-bb70-43d4-9229-636f9a8d6193",
          "name": "AI Agent (Chat Composer)",
          "type": "@n8n/n8n-nodes-langchain.agent",
          "position": [
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            752
          ],
          "parameters": {
            "text": "=User message: {{ $json.content }}\nIntent: {{ $json.intent }}\nTopic: {{ $json.topic || \"general\" }}\nContext (from Google Sheets or memory): {{ $json.context || $memory || \"No context retrieved\" }}\n",
            "options": {
              "systemMessage": "=You are \"Content Agent Chat Responder\", a professional AI assistant inside an n8n automation system.\n\nYour role:\n- Communicate naturally, professionally, and concisely.\n- Use provided context from Google Sheets or memory when available.\n- If the user greets you (like \"hi\", \"hello\", \"hey\"), respond politely and ask how you can help.\n- If the user asks about SEO, content drafts, briefs, optimization, or publishing, respond specifically based on context or ask clarifying questions if missing.\n- If the intent is \"chat\" but the content clearly mentions a topic, treat it as a mixed chat + content query.\n- If context is missing, ask the user for more information. \n\n\n### Behavior Rules:\n- Always greet politely and warmly.\n- If the user asks about our company, products, or projects, **use the context retrieved from Pinecone (knowledge base) as your source of truth**.\n- Give clear, structured, and easy-to-understand answers — avoid long walls of text.\n- When appropriate, format answers into short paragraphs, bullet points, or step-by-step explanations.\n- Sound confident, approachable, and \"sales-ready\" — as if you are introducing the company to a client.\n- If the knowledge base does not contain the answer, respond naturally but say you will get back with more details.\n- Maintain a human-like flow: use follow-up questions, confirmations, and conversational phrases (e.g., \"That's a great question!\" or \"Let me explain in simple terms…\").\n\n### Example Scenarios:\n- If a client asks: \"What is this project about?\" → Provide a short overview from Pinecone, structured like a pitch.\n- If they ask: \"Can you explain in detail?\" → Give a more thorough breakdown in a clear format.\n- If they greet or ask something general → continue the chat naturally, like a real human. \n\n- Always output concise structured JSON in the format:\n{\n  \"reply\": \"Your full response text\",\n  \"context_used\": [\"list of any context used or none\"]\n}\n"
            },
            "promptType": "define",
            "hasOutputParser": true
          },
          "typeVersion": 2.1
        },
        {
          "id": "2e25a1fd-88b8-44e8-bde1-17acd49729cd",
          "name": "Output Parser (JSON Enforcement)",
          "type": "@n8n/n8n-nodes-langchain.outputParserStructured",
          "position": [
            1856,
            896
          ],
          "parameters": {
            "jsonSchemaExample": "{\n  \"reply\": \"string\",\n  \"context_used\": [\"string\"]\n}\n"
          },
          "typeVersion": 1.3
        },
        {
          "id": "68c48bd8-ff0b-4c94-b9f7-2c3fb9def1d5",
          "name": "OpenAI Chat Model",
          "type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
          "position": [
            1408,
            976
          ],
          "parameters": {
            "model": {
              "__rl": true,
              "mode": "id",
              "value": "="
            },
            "options": {}
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "6cc6c210-636a-46ad-8e1a-cc3292639d6e",
          "name": "When chat message received",
          "type": "@n8n/n8n-nodes-langchain.chatTrigger",
          "position": [
            1120,
            752
          ],
          "webhookId": "599e92f2-e435-4937-8459-d270656f689f",
          "parameters": {
            "options": {}
          },
          "typeVersion": 1.3
        },
        {
          "id": "d686aa69-9e35-43b7-9f89-64690528db5b",
          "name": "Google Drive Trigger",
          "type": "n8n-nodes-base.googleDriveTrigger",
          "position": [
            1200,
            2224
          ],
          "parameters": {
            "event": "fileCreated",
            "options": {},
            "pollTimes": {
              "item": [
                {
                  "mode": "everyMinute"
                }
              ]
            },
            "triggerOn": "specificFolder",
            "folderToWatch": {
              "__rl": true,
              "mode": "id",
              "value": "="
            }
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 1
        },
        {
          "id": "954d129c-2d36-4ff1-8474-3b2f3384c8d5",
          "name": "Download file",
          "type": "n8n-nodes-base.googleDrive",
          "position": [
            1408,
            2224
          ],
          "parameters": {
            "fileId": {
              "__rl": true,
              "mode": "id",
              "value": "={{ $json.id }}"
            },
            "options": {},
            "operation": "download"
          },
          "credentials": {
            "googleDriveOAuth2Api": {
              "id": "credential-id",
              "name": "googleDriveOAuth2Api Credential"
            }
          },
          "typeVersion": 3
        },
        {
          "id": "c763f13b-0e7f-4abe-ae0d-f029ab45c8e2",
          "name": "Default Data Loader",
          "type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
          "position": [
            1696,
            2448
          ],
          "parameters": {
            "options": {
              "metadata": {
                "metadataValues": [
                  {
                    "name": "file-name",
                    "value": "={{ $('Download file').item.json.name }}"
                  }
                ]
              }
            },
            "dataType": "binary",
            "textSplittingMode": "custom"
          },
          "typeVersion": 1.1
        },
        {
          "id": "3f237c12-20f4-4e77-a991-f231875dad10",
          "name": "Recursive Character Text Splitter",
          "type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
          "position": [
            1776,
            2624
          ],
          "parameters": {
            "options": {},
            "chunkSize": 500,
            "chunkOverlap": 200
          },
          "typeVersion": 1
        },
        {
          "id": "14e92af7-eeb2-4afa-9543-62c87ba2074f",
          "name": "Embeddings OpenAI",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
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            2464
          ],
          "parameters": {
            "options": {
              "dimensions": 512
            }
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "fccdff58-7a8a-44a8-9a1c-a20d681b0438",
          "name": "Schedule Trigger",
          "type": "n8n-nodes-base.scheduleTrigger",
          "position": [
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            1552
          ],
          "parameters": {
            "rule": {
              "interval": [
                {
                  "field": "weeks",
                  "triggerAtDay": [
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                  "triggerAtHour": 22
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        {
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          "name": "Aggregate",
          "type": "n8n-nodes-base.aggregate",
          "position": [
            1744,
            1552
          ],
          "parameters": {
            "options": {},
            "aggregate": "aggregateAllItemData"
          },
          "typeVersion": 1
        },
        {
          "id": "8ad58732-4dec-4649-a1c6-0b9a6b08eb6a",
          "name": "Get Previous Content from Sheet",
          "type": "n8n-nodes-base.googleSheetsTool",
          "position": [
            1696,
            992
          ],
          "parameters": {
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "",
              "cachedResultUrl": "",
              "cachedResultName": ""
            },
            "documentId": {
              "__rl": true,
              "mode": "id",
              "value": "="
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.7
        },
        {
          "id": "8add9b4b-4086-4a8c-be4e-47c591c864ea",
          "name": "Conversation Logging",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            2080,
            752
          ],
          "parameters": {
            "operation": "appendOrUpdate",
            "sheetName": {
              "__rl": true,
              "mode": "id",
              "value": ""
            },
            "documentId": {
              "__rl": true,
              "mode": "id",
              "value": "="
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.7
        },
        {
          "id": "ef7c257c-accd-47db-a799-21b9f38a933c",
          "name": "Pinecone Vector Store Insert",
          "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
          "position": [
            1648,
            2224
          ],
          "parameters": {
            "mode": "insert",
            "options": {},
            "pineconeIndex": {
              "__rl": true,
              "mode": "id",
              "value": "="
            },
            "embeddingBatchSize": 1000
          },
          "credentials": {
            "pineconeApi": {
              "id": "credential-id",
              "name": "pineconeApi Credential"
            }
          },
          "typeVersion": 1.3
        },
        {
          "id": "3e139499-ba6e-465d-b464-12d74fa0884f",
          "name": "Pinecone Vector Store Query for Knowledge Base",
          "type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
          "position": [
            1856,
            1152
          ],
          "parameters": {
            "mode": "retrieve-as-tool",
            "topK": 5,
            "options": {},
            "pineconeIndex": {
              "__rl": true,
              "mode": "list",
              "value": "whatsappchatbot",
              "cachedResultName": "whatsappchatbot"
            },
            "toolDescription": "=Retrieve data from the Pinecone knowledge base and use it to answer user queries about the company, products, or projects in a well-structured, human-like manner"
          },
          "credentials": {
            "pineconeApi": {
              "id": "credential-id",
              "name": "pineconeApi Credential"
            }
          },
          "typeVersion": 1.3
        },
        {
          "id": "c3d32f3d-4804-49dd-8ee2-7da94bea33e0",
          "name": "Embeddings OpenAI Query for Chat modal",
          "type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
          "position": [
            1808,
            1312
          ],
          "parameters": {
            "options": {
              "dimensions": 512
            }
          },
          "credentials": {
            "openAiApi": {
              "id": "credential-id",
              "name": "openAiApi Credential"
            }
          },
          "typeVersion": 1.2
        },
        {
          "id": "83b6174f-12c9-440f-a021-7703570a3b48",
          "name": "Get Data from Sheet.",
          "type": "n8n-nodes-base.googleSheets",
          "position": [
            1456,
            1552
          ],
          "parameters": {
            "sheetName": {
              "__rl": true,
              "mode": "list",
              "value": "",
              "cachedResultUrl": "",
              "cachedResultName": ""
            },
            "documentId": {
              "__rl": true,
              "mode": "id",
              "value": "="
            }
          },
          "credentials": {
            "googleSheetsOAuth2Api": {
              "id": "credential-id",
              "name": "googleSheetsOAuth2Api Credential"
            }
          },
          "typeVersion": 4.7
        },
        {
          "id": "561655e9-9810-4cd4-a770-794d7a60f6cb",
          "name": "Convert Data  to file",
          "type": "n8n-nodes-base.convertToFile",
          "position": [
            1968,
            1552
          ],
          "parameters": {
            "options": {},
            "operation": "toText",
            "sourceProperty": "data"
          },
          "typeVersion": 1.1
        },
        {
          "id": "5f10e45a-6910-4cc3-897b-ba198d43943d",
          "name": "Check File Exist",
          "type": "n8n-nodes-base.if",
          "position": [
            2176,
            1552
          ],
          "parameters": {
            "options": {},
            "conditions": {
              "options": {
                "version": 2,
                "leftValue": "",
                "caseSensitive": true,
                "typeValidation": "strict"
              },
              "combinator": "and",
              "conditions": [
                {
                  "id": "a10217a0-9aa9-47eb-9179-b1760ae4fbd4",
                  "operator": {
                    "name": "filter.operator.equals",
                    "type": "string",
                    "operation": "equals"
                  },
                  "leftValue": "={{ $binary.data.mimeType }}",
                  "rightValue": "application/json"
                }
              ]
            }
          },
          "typeVersion": 2.2
        },
        {
          "id": "e1faaf7b-1b72-460d-94fa-dbdb719e9256",
          "name": "Send Chat History with attachment",
          "type": "n8n-nodes-base.gmail",
          "position": [
            2464,
            1536
          ],
          "webhookId": "9f4a4d22-8f33-4814-af35-7c5c916e9b2c",
          "parameters": {
            "message": "=Hi [Name], \n\nPlease find attached your chat history from our conversation on chat_history_{{ $now.format('DD') }}.   Feel free to refer back to this anytime, and let me know if you have any questions! \n\nBest regards, [Your Name]",
            "options": {
              "attachmentsUi": {
                "attachmentsBinary": [
                  {}
                ]
              }
            },
            "subject": "=chat_history_{{ $now.format('DD') }}",
            "emailType": "text"
          },
          "credentials": {
            "gmailOAuth2": {
              "id": "credential-id",
              "name": "gmailOAuth2 Credential"
            }
          },
          "typeVersion": 2.1
        },
        {
          "id": "8a43b13d-92ea-4847-8080-fa1a8b373253",
          "name": "Format Data For AI Agent ",
          "type": "n8n-nodes-base.set",
          "position": [
            1376,
            752
          ],
          "parameters": {
            "options": {},
            "assignments": {
              "assignments": [
                {
                  "id": "d917c6d3-ae35-4140-99c8-ae390866e735",
                  "name": "intent",
                  "type": "string",
                  "value": "=Chat"
                },
                {
                  "id": "e697ec89-26ed-4fb3-95a9-4a0cc6eed36d",
                  "name": "topic",
                  "type": "string",
                  "value": "=AI Seo Basics"
                },
                {
                  "id": "f5a88ad2-7f57-4971-88ea-bad9e1c10992",
                  "name": "content_id",
                  "type": "string",
                  "value": "=C001"
                },
                {
                  "id": "06fb1d17-f233-4b22-af27-cd3351c971a0",
                  "name": "parameter",
                  "type": "object",
                  "value": "={{ $json.parameter }}"
                }
              ]
            }
          },
          "typeVersion": 3.4
        }
      ],
      "active": false,
      "pinData": {},
      "settings": {
        "executionOrder": "v1"
      },
      "versionId": "b76952bf-3c23-4299-8602-50580cbc6117",
      "connections": {
        "Aggregate": {
          "main": [
            [
              {
                "node": "Convert Data  to file",
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        "icon": "fa:sticky-note",
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        },
        "displayName": "Pinecone Vector Store",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1234,
        "icon": "file:convertToFile.svg",
        "name": "n8n-nodes-base.convertToFile",
        "codex": {
          "data": {
            "alias": [
              "CSV",
              "Spreadsheet",
              "Excel",
              "xls",
              "xlsx",
              "ods",
              "tabular",
              "encode",
              "encoding",
              "Move Binary Data",
              "Binary",
              "File",
              "JSON",
              "HTML",
              "ICS",
              "iCal",
              "RTF",
              "64",
              "Base64"
            ],
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.converttofile/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Files",
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"input\"]",
        "defaults": {
          "name": "Convert to File"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Convert to File",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1236,
        "icon": "file:aggregate.svg",
        "name": "n8n-nodes-base.aggregate",
        "codex": {
          "data": {
            "alias": [
              "Aggregate",
              "Combine",
              "Flatten",
              "Transform",
              "Array",
              "List",
              "Item"
            ],
            "details": "",
            "resources": {
              "generic": [],
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.aggregate/"
                }
              ]
            },
            "categories": [
              "Core Nodes"
            ],
            "nodeVersion": "1.0",
            "codexVersion": "1.0",
            "subcategories": {
              "Core Nodes": [
                "Data Transformation"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Aggregate"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,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"
        },
        "displayName": "Aggregate",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          }
        ]
      },
      {
        "id": 1243,
        "icon": "file:binary.svg",
        "name": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.documentdefaultdataloader/"
                }
              ]
            },
            "categories": [
              "AI",
              "Langchain"
            ],
            "subcategories": {
              "AI": [
                "Document Loaders"
              ]
            }
          }
        },
        "group": "[\"transform\"]",
        "defaults": {
          "name": "Default Data Loader"
        },
        "iconData": {
          "type": "file",
          "fileBuffer": "data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSI3NjgiIGhlaWdodD0iMTAyNCI+PHBhdGggZmlsbD0iIzdEN0Q4NyIgZD0iTTAgOTYwVjY0aDU3NmwxOTIgMTkydjcwNHptNzA0LTY0MEw1MTIgMTI4SDY0djc2OGg2NDB6TTMyMCA1MTJIMTI4VjI1NmgxOTJ6bS02NC0xOTJoLTY0djEyOGg2NHptMCA0NDhoNjR2NjRIMTI4di02NGg2NFY2NDBoLTY0di02NGgxMjh6bTI1Ni0zMjBoNjR2NjRIMzg0di02NGg2NFYzMjBoLTY0di02NGgxMjh6bTY0IDM4NEgzODRWNTc2aDE5MnptLTY0LTE5MmgtNjR2MTI4aDY0eiIvPjwvc3ZnPg=="
        },
        "displayName": "Default Data Loader",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 25,
            "name": "AI"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      },
      {
        "id": 1247,
        "icon": "fa:comments",
        "name": "@n8n/n8n-nodes-langchain.chatTrigger",
        "codex": {
          "data": {
            "resources": {
              "primaryDocumentation": [
                {
                  "url": "https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.chattrigger/"
                }
              ]
            },
            "categories": [
              "Core Nodes",
              "Langchain"
            ]
          }
        },
        "group": "[\"trigger\"]",
        "defaults": {
          "name": "When chat message received"
        },
        "iconData": {
          "icon": "comments",
          "type": "icon"
        },
        "displayName": "Chat Trigger",
        "typeVersion": 1,
        "nodeCategories": [
          {
            "id": 9,
            "name": "Core Nodes"
          },
          {
            "id": 26,
            "name": "Langchain"
          }
        ]
      }
    ],
    "categories": [
      {
        "id": 40,
        "name": "Support Chatbot"
      },
      {
        "id": 48,
        "name": "AI RAG"
      }
    ],
    "image": []
  }
}