Pramod Rathoure This workflow corresponds to n8n.io template #7563 — 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": "ijORqghBWmOcVaCd",
"meta": {
"templateCredsSetupCompleted": true
},
"name": "ChatBot For RAG Based LLMs",
"tags": [],
"nodes": [
{
"id": "93879f6c-0d57-4049-9e42-44d906160eb6",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-440,
-300
],
"parameters": {
"public": true,
"options": {}
},
"typeVersion": 1.1
},
{
"id": "688546eb-decc-4d88-b991-e6851d00d3c3",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
-80,
-300
],
"parameters": {
"options": {
"systemMessage": "=You are an AI assistant specialized in analyzing user queries and retreive the data using pine cone vectore store via Vectore store QnA Tool. \n\nYour primary task is to answer questions accurately and precisely using the vector database, which contains relevant documents.\n\nOnly provide information that you retrieve from the documents (or verified expert knowledge). If something is not included in the dataset or is unclear, clearly state that you do not have sufficient information.\n\nStructure of your responses:\n\u2022 Concise and to the point\n\u2022 Specific numbers and facts, when available\n\u2022 Clearly indicate which quarterly tax deduction with the information comes from\n\nObjective:\nProvide users with reliable and quick insights to user questions without unnecessary details."
}
},
"typeVersion": 2
},
{
"id": "47d5f4e0-45e6-4a75-8250-76277a33addd",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-220,
-60
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "c5e00f0e-2494-443d-9ff5-ab476f174fda",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
20,
80
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "5bdc6723-18e4-4637-b31e-2b7a722c2d30",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
300,
80
],
"parameters": {
"options": {
"pineconeNamespace": "<yourNameSpace>"
},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "n8ntest",
"cachedResultName": "n8ntest"
}
},
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "c9325bbd-95ee-49b6-80e3-b8eb18a3044e",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
320,
240
],
"parameters": {
"options": {
"batchSize": 512,
"dimensions": 512
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "1752c787-78f3-4c03-a44a-f619358b002b",
"name": "Calculator",
"type": "@n8n/n8n-nodes-langchain.toolCalculator",
"position": [
760,
-120
],
"parameters": {},
"typeVersion": 1
},
{
"id": "c5130a15-b2fa-4c96-b890-6cda5a5d1e8a",
"name": "Google Drive Trigger",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
-1960,
-240
],
"parameters": {
"event": "fileCreated",
"options": {},
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFolder",
"folderToWatch": {
"__rl": true,
"mode": "list",
"value": "18ElQ-fxK0zXX5Ahx1lk80OXnAJ9NwvHl",
"cachedResultUrl": "https://drive.google.com/drive/folders/18ElQ-fxK0zXX5Ahx1lk80OXnAJ9NwvHl",
"cachedResultName": "n8n"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "e918feee-188e-42c7-8012-09614b6d73a4",
"name": "Google Drive",
"type": "n8n-nodes-base.googleDrive",
"position": [
-1740,
-240
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "list",
"value": "1AWznNmqjEyztSOFYG9PgKOYX_GfJvI-P",
"cachedResultUrl": "https://drive.google.com/file/d/1AWznNmqjEyztSOFYG9PgKOYX_GfJvI-P/view?usp=drivesdk",
"cachedResultName": "income-tax-bill-2025.pdf"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "f2da487d-cbda-478d-8a38-b4c2a920dbaf",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
-1140,
40
],
"parameters": {
"loader": "pdfLoader",
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "0ce84124-e903-4b41-a9dc-2b701efbeeaf",
"name": "Recursive Character Text Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
-1120,
220
],
"parameters": {
"options": {
"splitCode": "markdown"
},
"chunkOverlap": 50
},
"typeVersion": 1
},
{
"id": "c6fff7f0-d215-4d25-8e4e-bcd5cc200330",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-2020,
-600
],
"parameters": {
"width": 940,
"height": 280,
"content": "## Data Loader\n- #### GDrive - Trigger \n This node will trigger for every minute and retrieve details for any change to the folder.\n- #### GDrive - Trigger\n This node will download the latest changes from GDrive and pass them to pin cone vector store\n- #### PineCone Vector Store\n Here, we are actually storing the files by splitting them by leveraging the capabilities of default data loader. \n\n\n"
},
"typeVersion": 1
},
{
"id": "abab349f-8cb4-489e-8a94-d369f89db0e0",
"name": "PineconeVectorStore",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
-1480,
-240
],
"parameters": {
"mode": "insert",
"options": {
"pineconeNamespace": "[YouNameSpace]"
},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "n8ntest",
"cachedResultName": "n8ntest"
}
},
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "9cee9812-3cc7-4d3f-b7be-6d02b8f7ca3e",
"name": "OpenAI Embeddings",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
-1480,
0
],
"parameters": {
"options": {
"batchSize": 512,
"dimensions": 512
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "401070d0-b61c-4fd4-9139-f82624e4d7fc",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-500,
-500
],
"parameters": {
"color": 4,
"width": 940,
"height": 180,
"content": "## Data Retrieval\nWe have an AI Agent that connects to Vector Store and Retrieve the required information to the user questions. \n\nThis connects to Vector Store QnA tool which then further connects to Vector Store to fetch the information and share to Ai Agent for further processing. "
},
"typeVersion": 1
},
{
"id": "82fe4b78-b7d9-4ee1-a319-eb6e44d013dd",
"name": "Vector Store QnA",
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"position": [
380,
-100
],
"parameters": {
"description": "Returns documents related to company polices and everything important from those policy documents"
},
"typeVersion": 1.1
},
{
"id": "84e007f0-7bfe-4788-900b-9a73376a1318",
"name": "OpenAI Chat Model2",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
780,
60
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
}
],
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "74b8ed97-4177-4d50-ae41-856da7e16a43",
"connections": {
"Calculator": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Google Drive": {
"main": [
[
{
"node": "PineconeVectorStore",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Vector Store QnA": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"OpenAI Embeddings": {
"ai_embedding": [
[
{
"node": "PineconeVectorStore",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model2": {
"ai_languageModel": [
[
{
"node": "Vector Store QnA",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "PineconeVectorStore",
"type": "ai_document",
"index": 0
}
]
]
},
"Google Drive Trigger": {
"main": [
[
{
"node": "Google Drive",
"type": "main",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"ai_vectorStore": [
[
{
"node": "Vector Store QnA",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"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.
googleDriveOAuth2ApiopenAiApipineconeApi
Pro
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About this workflow
Retrieval-Augmented Generation (RAG) allows Large Language Models (LLMs) to provide context-aware answers by retrieving information from an external vector database. In this post, we’ll walk through a complete n8n workflow that builds a chatbot capable of answering company…
Source: https://n8n.io/workflows/7563/ — original creator credit. Request a take-down →
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