Lakindu Siriwardana This workflow corresponds to n8n.io template #6894 — we link there as the canonical source.
This workflow follows the Agent → Chat Trigger recipe pattern — see all workflows that pair these two integrations.
The workflow JSON
Copy or download the full n8n JSON below. Paste it into a new n8n workflow, add your credentials, activate. Full import guide →
{
"id": "pfmUDAfMnmwHPCSC",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "Chat-internal-documents",
"tags": [],
"nodes": [
{
"id": "5499112e-c417-4a13-9d3f-6e1aa16ee8cd",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
840,
840
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "=file_id",
"value": "={{ $('Set File ID').first().json.file_id }}"
}
]
}
},
"jsonData": "={{ $json.data || $json.text || $json.concatenated_data }}",
"jsonMode": "expressionData"
},
"typeVersion": 1
},
{
"id": "b780ee44-6928-4382-96d9-52d015e97fc2",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
0,
60
],
"parameters": {
"color": 4,
"width": 583,
"height": 489,
"content": "## Agent Tools for RAG"
},
"typeVersion": 1
},
{
"id": "733c038e-5315-490f-a8f1-449aae7aa7b1",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1240,
580
],
"parameters": {
"color": 5,
"width": 2353,
"height": 627,
"content": "## Tool to Add a Google Drive File to Vector DB"
},
"typeVersion": 1
},
{
"id": "f4f6830e-e057-4817-99b6-cd1a24ef85af",
"name": "Download File",
"type": "n8n-nodes-base.googleDrive",
"position": [
-400,
800
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $('Set File ID').item.json.file_id }}"
},
"options": {
"googleFileConversion": {
"conversion": {
"docsToFormat": "text/plain"
}
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"executeOnce": true,
"typeVersion": 3
},
{
"id": "d6053181-12df-4ee9-98fc-5263c44cb828",
"name": "File Created",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-1160,
700
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1kxxE-cSJYZA1EwRohcgNL2PNFZDzAyhw",
"cachedResultUrl": "",
"cachedResultName": "test-folder"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "0ed25822-27c2-4ae3-9ec9-ff0eaeec1938",
"name": "File Updated",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-1160,
920
],
"parameters": {
"event": "fileUpdated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "1kxxE-cSJYZA1EwRohcgNL2PNFZDzAyhw",
"cachedResultUrl": "",
"cachedResultName": "test-folder"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "70d053ec-b880-489c-8c20-261f0a4c148c",
"name": "Extract Document Text",
"type": "n8n-nodes-base.extractFromFile",
"position": [
360,
1000
],
"parameters": {
"options": {},
"operation": "text"
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "cb9d4b81-c74f-44e5-9cb5-f55133b737d5",
"name": "Postgres Chat Memory",
"type": "@n8n/n8n-nodes-langchain.memoryPostgresChat",
"position": [
-480,
360
],
"parameters": {},
"credentials": {
"postgres": {
"name": "<your credential>"
}
},
"notesInFlow": false,
"typeVersion": 1
},
{
"id": "fff92d07-0a2c-40ff-a073-b2e17d4695a3",
"name": "Delete Old Doc Rows",
"type": "n8n-nodes-base.supabase",
"position": [
-640,
800
],
"parameters": {
"tableId": "documents",
"operation": "delete",
"filterType": "string",
"filterString": "=metadata->>file_id=like.*{{ $json.file_id }}*"
},
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
},
"typeVersion": 1,
"alwaysOutputData": true
},
{
"id": "e5ca30cc-ea70-42b1-bdce-b110a922765b",
"name": "Set File ID",
"type": "n8n-nodes-base.set",
"position": [
-880,
800
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "10646eae-ae46-4327-a4dc-9987c2d76173",
"name": "file_id",
"type": "string",
"value": "={{ $json.id }}"
},
{
"id": "f4536df5-d0b1-4392-bf17-b8137fb31a44",
"name": "file_type",
"type": "string",
"value": "={{ $json.mimeType }}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "02fbed8f-592d-4380-b9b4-f129cbc052d5",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1040,
60
],
"parameters": {
"width": 1036,
"height": 485,
"content": "## RAG AI Agent with Chat Interface"
},
"typeVersion": 1
},
{
"id": "33ffec5d-1c87-42df-91a9-87f29fda4d24",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
-180,
140
],
"parameters": {
"options": {},
"respondWith": "allIncomingItems"
},
"typeVersion": 1.1
},
{
"id": "c7cf92ba-d3b7-401f-be57-1f2ad1452fad",
"name": "Edit Fields",
"type": "n8n-nodes-base.set",
"position": [
-740,
140
],
"parameters": {
"options": {},
"assignments": {
"assignments": [
{
"id": "9a9a245e-f1a1-4282-bb02-a81ffe629f0f",
"name": "chatInput",
"type": "string",
"value": "={{ $json?.chatInput || $json.body.chatInput || $json.body.message }}"
},
{
"id": "b80831d8-c653-4203-8706-adedfdb98f77",
"name": "sessionId",
"type": "string",
"value": "={{ $json?.sessionId || $json.body.sessionId}}"
}
]
}
},
"typeVersion": 3.4
},
{
"id": "28af4afe-bb57-41cf-97cd-5f5bf244ced2",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-1000,
140
],
"parameters": {
"public": true,
"options": {
"allowFileUploads": true
},
"initialMessages": "Hi there! \ud83d\udc4b\nMy name is Laki. How can I assist you today?"
},
"typeVersion": 1.1
},
{
"id": "172cdbdc-df5e-4126-b437-6ee87cb002e8",
"name": "Webhook",
"type": "n8n-nodes-base.webhook",
"position": [
-1000,
340
],
"parameters": {
"path": "rag-chat",
"options": {},
"httpMethod": "POST",
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "c22851fc-54b3-4f6f-90de-1d1ee4144987",
"name": "Extract PDF Text",
"type": "n8n-nodes-base.extractFromFile",
"position": [
360,
620
],
"parameters": {
"options": {},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "6cd6a07e-e401-4941-8120-0fe720138986",
"name": "Aggregate",
"type": "n8n-nodes-base.aggregate",
"position": [
280,
800
],
"parameters": {
"options": {},
"aggregate": "aggregateAllItemData"
},
"typeVersion": 1
},
{
"id": "57dd71fa-6500-4e8f-b5e2-824eb8812b9a",
"name": "Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter",
"position": [
840,
1060
],
"parameters": {},
"typeVersion": 1
},
{
"id": "af7a36dc-8a07-4b00-affc-5c01677d3dcf",
"name": "Summarize",
"type": "n8n-nodes-base.summarize",
"position": [
440,
800
],
"parameters": {
"options": {},
"fieldsToSummarize": {
"values": [
{
"field": "data",
"aggregation": "concatenate"
}
]
}
},
"typeVersion": 1
},
{
"id": "64931b9c-35d3-4eff-89f6-9fb6053325d2",
"name": "RAG AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-520,
140
],
"parameters": {
"text": "={{ $json.chatInput }}\n\nContext from retrieved documents:\n{{ $json.user_documents }}\n\nInstructions:\n- Use ONLY the context above to answer the question.\n- If the context already provides the answer, respond directly with that Answer.\n- Do NOT call any tools or offer to call tools if the context already has the answer.\n- Only call tools if the context is empty or obviously incomplete.\n- Keep the answer clear and complete.\n",
"options": {
"systemMessage": "=You are a helpful assistant that answers user questions. Always prioritize using the provided context. Only call tools when the provided context does not contain the necessary information.\nIf you use the tool then provide the answer coming from the tool directly\n"
},
"promptType": "define"
},
"typeVersion": 1.6
},
{
"id": "de90a406-592e-4c0d-9052-3e95caebf01b",
"name": "Switch",
"type": "n8n-nodes-base.switch",
"position": [
-180,
800
],
"parameters": {
"rules": {
"values": [
{
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Set File ID').item.json.file_type }}",
"rightValue": "application/pdf"
}
]
}
},
{
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "2ae7faa7-a936-4621-a680-60c512163034",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Set File ID').item.json.file_type }}",
"rightValue": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"
}
]
}
},
{
"conditions": {
"options": {
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "fc193b06-363b-4699-a97d-e5a850138b0e",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $('Set File ID').item.json.file_type }}",
"rightValue": "application/vnd.google-apps.document"
}
]
}
}
]
},
"options": {
"fallbackOutput": 2
}
},
"typeVersion": 3
},
{
"id": "a2055d5e-a445-4706-afb7-f36f8adedb43",
"name": "Insert into Supabase Vectorstore",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
720,
620
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "match_documents"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "5d235803-705e-4366-b00f-ceef912db642",
"name": "Extract from Excel",
"type": "n8n-nodes-base.extractFromFile",
"position": [
120,
800
],
"parameters": {
"options": {},
"operation": "xlsx"
},
"typeVersion": 1
},
{
"id": "0f3b9083-0510-4129-9833-215c7189148b",
"name": "Embeddings Ollama",
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"position": [
680,
840
],
"parameters": {
"model": "nomic-embed-text:latest"
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "ca178e83-d5c1-475a-b5fa-9e83f840cd19",
"name": "Embeddings Ollama1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOllama",
"position": [
200,
420
],
"parameters": {
"model": "nomic-embed-text:latest"
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "5a3c0b2d-1a38-4a5f-b6b9-638ea50cce7d",
"name": "Supabase Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
80,
280
],
"parameters": {
"options": {
"queryName": "match_documents"
},
"tableName": {
"__rl": true,
"mode": "list",
"value": "documents",
"cachedResultName": "documents"
}
},
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "aa18ff0f-e29e-453f-b637-581bbb021594",
"name": "Ollama Model",
"type": "@n8n/n8n-nodes-langchain.lmOllama",
"position": [
420,
320
],
"parameters": {
"model": "llama3.1:latest",
"options": {}
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "175164e7-4a84-48b2-a225-dea6afe1e94d",
"name": "Ollama Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOllama",
"position": [
-660,
380
],
"parameters": {
"model": "llama3.1:latest",
"options": {
"temperature": 0.5
}
},
"credentials": {
"ollamaApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "8a46d0ff-ceb9-435f-a347-d97e103cd0bc",
"name": "User_documents",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
200,
120
],
"parameters": {
"name": "user_documents",
"description": "Contains all the user's documents that you can check for context to answer user questions."
},
"typeVersion": 1
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "5e57d44f-1063-4539-bbeb-d2c65025509a",
"connections": {
"Switch": {
"main": [
[
{
"node": "Extract PDF Text",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract from Excel",
"type": "main",
"index": 0
}
],
[
{
"node": "Extract Document Text",
"type": "main",
"index": 0
}
]
]
},
"Webhook": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
},
"Aggregate": {
"main": [
[
{
"node": "Summarize",
"type": "main",
"index": 0
}
]
]
},
"Summarize": {
"main": [
[
{
"node": "Insert into Supabase Vectorstore",
"type": "main",
"index": 0
}
]
]
},
"Edit Fields": {
"main": [
[
{
"node": "RAG AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Set File ID": {
"main": [
[
{
"node": "Delete Old Doc Rows",
"type": "main",
"index": 0
}
]
]
},
"File Created": {
"main": [
[
{
"node": "Set File ID",
"type": "main",
"index": 0
}
]
]
},
"File Updated": {
"main": [
[
{
"node": "Set File ID",
"type": "main",
"index": 0
}
]
]
},
"Ollama Model": {
"ai_languageModel": [
[
{
"node": "User_documents",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"RAG AI Agent": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Download File": {
"main": [
[
{
"node": "Switch",
"type": "main",
"index": 0
}
]
]
},
"User_documents": {
"ai_tool": [
[
{
"node": "RAG AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Extract PDF Text": {
"main": [
[
{
"node": "Insert into Supabase Vectorstore",
"type": "main",
"index": 0
}
]
]
},
"Embeddings Ollama": {
"ai_embedding": [
[
{
"node": "Insert into Supabase Vectorstore",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Ollama Chat Model": {
"ai_languageModel": [
[
{
"node": "RAG AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings Ollama1": {
"ai_embedding": [
[
{
"node": "Supabase Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Extract from Excel": {
"main": [
[
{
"node": "Aggregate",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Insert into Supabase Vectorstore",
"type": "ai_document",
"index": 0
}
]
]
},
"Delete Old Doc Rows": {
"main": [
[
{
"node": "Download File",
"type": "main",
"index": 0
}
]
]
},
"Postgres Chat Memory": {
"ai_memory": [
[
{
"node": "RAG AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Extract Document Text": {
"main": [
[
{
"node": "Insert into Supabase Vectorstore",
"type": "main",
"index": 0
}
]
]
},
"Supabase Vector Store": {
"ai_vectorStore": [
[
{
"node": "User_documents",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "Edit Fields",
"type": "main",
"index": 0
}
]
]
}
}
}
Credentials you'll need
Each integration node will prompt for credentials when you import. We strip credential IDs before publishing — you'll add your own.
googleDriveOAuth2ApiollamaApipostgressupabaseApi
Pro
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
Answers should given only within provided text. Chat interface powered by LLM (Ollama) Retrieval-Augmented Generation (RAG) using Supabase Vector DB Multi-format file support (PDF, Excel, Google Docs, text files) Automated file ingestion from Google Drive Real-time document…
Source: https://n8n.io/workflows/6894/ — original creator credit. Request a take-down →
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