Anderson Adelino This workflow corresponds to n8n.io template #6401 — 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 →
{
"nodes": [
{
"id": "a8afd8c2-2bfd-49f3-9687-0d68c83db4ad",
"name": "Chat Interface",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
80,
100
],
"parameters": {
"options": {}
},
"typeVersion": 1.1
},
{
"id": "00c21cda-1193-4cf5-9681-bf21ac2b269c",
"name": "RAG Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
300,
100
],
"parameters": {
"options": {
"systemMessage": "You are an intelligent assistant with access to a knowledge base. Always search for relevant information before answering questions. Be helpful, accurate, and cite your sources when providing information from the knowledge base."
}
},
"typeVersion": 2
},
{
"id": "c74d3fac-14ef-4809-b290-d0344db04c79",
"name": "AI Model (OpenAI)",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
180,
320
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4-mini"
},
"options": {}
},
"typeVersion": 1.2
},
{
"id": "e8a473c1-4934-491b-8283-80d48982d604",
"name": "Search Embeddings",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
540,
460
],
"parameters": {
"options": {}
},
"typeVersion": 1.2
},
{
"id": "6fc17058-70f2-4bbe-a8b5-e35116f14853",
"name": "Conversation Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
340,
320
],
"parameters": {
"contextWindowLength": 10
},
"typeVersion": 1.3
},
{
"id": "ba366390-61e3-4a25-8008-fb172145486a",
"name": "Load Documents Trigger",
"type": "n8n-nodes-base.manualTrigger",
"position": [
100,
760
],
"parameters": {},
"typeVersion": 1
},
{
"id": "f97d305b-3a96-445c-ace2-535c60055a4f",
"name": "Download PDF from Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
320,
760
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "url",
"value": "{{GOOGLE_DRIVE_FILE_URL}}"
},
"options": {},
"operation": "download"
},
"typeVersion": 3
},
{
"id": "9eec6cb6-f445-4add-8de9-1464b61dfa7a",
"name": "Document Embeddings",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
700,
960
],
"parameters": {
"options": {}
},
"typeVersion": 1.2
},
{
"id": "e64b2357-0238-45ca-87bd-10f8deddd6e4",
"name": "Process Document Text",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
840,
960
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "source",
"value": "={{ $node['Download PDF from Drive'].json.name }}"
},
{
"name": "type",
"value": "pdf"
}
]
}
},
"jsonData": "={{ $json.text }}",
"jsonMode": "expressionData"
},
"typeVersion": 1.1
},
{
"id": "8b0645f9-dbcb-4613-9126-9efa824615bc",
"name": "Knowledge Base Search",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
540,
320
],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 10,
"options": {
"queryName": "{{MATCH_FUNCTION_NAME}}"
},
"tableName": {
"__rl": true,
"mode": "id",
"value": "{{VECTOR_TABLE_NAME}}"
},
"useReranker": true,
"toolDescription": "Use this tool to search for information in the knowledge base. Always use this before answering questions to ensure accurate, up-to-date responses."
},
"credentials": {
"supabaseApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "4cb8869a-de07-44f5-8f79-9b3c1207d21c",
"name": "Store in Vector Database",
"type": "@n8n/n8n-nodes-langchain.vectorStoreSupabase",
"position": [
700,
760
],
"parameters": {
"mode": "insert",
"options": {
"queryName": "{{MATCH_FUNCTION_NAME}}"
},
"tableName": {
"__rl": true,
"mode": "id",
"value": "{{VECTOR_TABLE_NAME}}"
}
},
"typeVersion": 1.3
},
{
"id": "c8d8674d-ebe7-42fa-918e-ea9c5dc56b98",
"name": "Extract PDF Content",
"type": "n8n-nodes-base.extractFromFile",
"position": [
500,
760
],
"parameters": {
"options": {
"maxPages": 500
},
"operation": "pdf"
},
"typeVersion": 1
},
{
"id": "c5af8b70-bbda-4138-9598-dfd6c44a0eb5",
"name": "Cohere Reranker",
"type": "@n8n/n8n-nodes-langchain.rerankerCohere",
"position": [
700,
460
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c3af22b6-830c-43a6-9a8f-0f38f3dec647",
"name": "Note: Chat Trigger",
"type": "n8n-nodes-base.stickyNote",
"position": [
20,
-40
],
"parameters": {
"color": 5,
"width": 200,
"height": 120,
"content": "### 1\ufe0f\u20e3 Chat Trigger\nReceives messages from users through the chat interface"
},
"typeVersion": 1
},
{
"id": "c3655d77-d3ee-4c21-8166-da08b15175d3",
"name": "Note: RAG Agent",
"type": "n8n-nodes-base.stickyNote",
"position": [
300,
-40
],
"parameters": {
"color": 5,
"width": 200,
"height": 120,
"content": "### 2\ufe0f\u20e3 RAG Agent\nOrchestrates the conversation using tools and memory"
},
"typeVersion": 1
},
{
"id": "ba9f02ea-6def-433a-9ccc-6f0ec1a1792b",
"name": "Note: Knowledge Search",
"type": "n8n-nodes-base.stickyNote",
"position": [
560,
180
],
"parameters": {
"color": 5,
"width": 200,
"height": 100,
"content": "### 3\ufe0f\u20e3 Knowledge Search\nSearches the vector database for relevant information"
},
"typeVersion": 1
},
{
"id": "ba558d29-fa87-4a2d-a63f-64a768bb2efb",
"name": "Note: Reranker",
"type": "n8n-nodes-base.stickyNote",
"position": [
820,
440
],
"parameters": {
"color": 5,
"width": 200,
"height": 100,
"content": "### 4\ufe0f\u20e3 Reranker\nImproves search quality by reordering results"
},
"typeVersion": 1
},
{
"id": "0ff39f38-d67e-4517-8f5b-834c032383dd",
"name": "Note: Configuration",
"type": "n8n-nodes-base.stickyNote",
"position": [
880,
0
],
"parameters": {
"color": 4,
"width": 260,
"height": 180,
"content": "### Configuration Variables\n\nReplace these in the workflow:\n- **GOOGLE_DRIVE_FILE_URL**\n- **VECTOR_TABLE_NAME**\n- **MATCH_FUNCTION_NAME**"
},
"typeVersion": 1
}
],
"connections": {
"Chat Interface": {
"main": [
[
{
"node": "RAG Agent",
"type": "main",
"index": 0
}
]
]
},
"Cohere Reranker": {
"ai_reranker": [
[
{
"node": "Knowledge Base Search",
"type": "ai_reranker",
"index": 0
}
]
]
},
"AI Model (OpenAI)": {
"ai_languageModel": [
[
{
"node": "RAG Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Search Embeddings": {
"ai_embedding": [
[
{
"node": "Knowledge Base Search",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Conversation Memory": {
"ai_memory": [
[
{
"node": "RAG Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Document Embeddings": {
"ai_embedding": [
[
{
"node": "Store in Vector Database",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Extract PDF Content": {
"main": [
[
{
"node": "Store in Vector Database",
"type": "main",
"index": 0
}
]
]
},
"Knowledge Base Search": {
"ai_tool": [
[
{
"node": "RAG Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Process Document Text": {
"ai_document": [
[
{
"node": "Store in Vector Database",
"type": "ai_document",
"index": 0
}
]
]
},
"Load Documents Trigger": {
"main": [
[
{
"node": "Download PDF from Drive",
"type": "main",
"index": 0
}
]
]
},
"Download PDF from Drive": {
"main": [
[
{
"node": "Extract PDF Content",
"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.
supabaseApi
Pro
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About this workflow
This workflow contains community nodes that are only compatible with the self-hosted version of n8n.
Source: https://n8n.io/workflows/6401/ — original creator credit. Request a take-down →
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