Neeraj Chouhan This workflow corresponds to n8n.io template #10980 — 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 →
{
"meta": {
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "08545593-4695-4026-ba55-d1d58a01fbf6",
"name": "Google Drive Trigger",
"type": "n8n-nodes-base.googleDriveTrigger",
"position": [
640,
-800
],
"parameters": {
"pollTimes": {
"item": [
{
"mode": "everyMinute"
}
]
},
"triggerOn": "specificFile",
"fileToWatch": {
"__rl": true,
"mode": "list",
"value": "1qz6aQrwo6LyWhPLlij-v0RZE4DtZe85L",
"cachedResultUrl": "https://drive.google.com/file/d/1qz6aQrwo6LyWhPLlij-v0RZE4DtZe85L/view?usp=drivesdk",
"cachedResultName": "restaurant_full_rag_dataset.pdf"
}
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "cd8f31f5-dd48-40f0-9138-2a4924709eab",
"name": "Download file",
"type": "n8n-nodes-base.googleDrive",
"position": [
848,
-800
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"name": "<your credential>"
}
},
"typeVersion": 3
},
{
"id": "6214c5d2-8cfe-45c7-b0b1-95323120bb24",
"name": "Pinecone Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
1072,
-800
],
"parameters": {
"mode": "insert",
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "restaurant",
"cachedResultName": "restaurant"
}
},
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "0982afed-4193-4c5d-aa98-a9df27d2113f",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1968,
-416
],
"parameters": {
"options": {
"dimensions": 512
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "4aaa3a79-ef9d-4a61-ad29-dbde97b2d61d",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1040,
-640
],
"parameters": {
"options": {
"metadata": {
"metadataValues": [
{
"name": "file-name",
"value": "={{ $('Download file').item.json.name }}"
}
]
}
},
"dataType": "binary",
"textSplittingMode": "custom"
},
"typeVersion": 1.1
},
{
"id": "e832710a-38fa-4251-8fca-24ab3e4dc5c7",
"name": "Recursive Character Text Splitter1",
"type": "@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter",
"position": [
1040,
-496
],
"parameters": {
"options": {},
"chunkSize": 100,
"chunkOverlap": 20
},
"typeVersion": 1
},
{
"id": "500adcb8-c88f-42ce-a304-b56af4ef9051",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"disabled": true,
"position": [
1488,
-704
],
"parameters": {
"options": {}
},
"typeVersion": 1.3
},
{
"id": "ce938ad4-cc83-4435-b23f-8c06adf845dc",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1776,
-800
],
"parameters": {
"text": "=User : {{ $json.messages[0].text.body }}",
"options": {
"systemMessage": "You are a friendly assistant. When a question comes in, use only the information retrieved from the vector database to answer. Speak casually and naturally, like a real person helping a customer. Keep replies short, clear, and to the point. If something isn\u2019t in the retrieved context, just say you\u2019re not sure instead of guessing. Do not make up details."
},
"promptType": "define"
},
"typeVersion": 2.2
},
{
"id": "7effc941-5403-4b4d-9ac3-41255c845179",
"name": "Google Gemini Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGoogleGemini",
"position": [
1712,
-576
],
"parameters": {
"options": {}
},
"credentials": {
"googlePalmApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "e6d9c355-971f-49a0-9bd5-d849639a7684",
"name": "Pinecone Vector Store1",
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"position": [
1968,
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],
"parameters": {
"mode": "retrieve-as-tool",
"topK": 5,
"options": {},
"pineconeIndex": {
"__rl": true,
"mode": "list",
"value": "restaurant",
"cachedResultName": "restaurant"
},
"toolDescription": "Stores restaurant menu, dish, order, customer and info embeddings for fast semantic retrieval to support RAG-based restaurant queries."
},
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.3
},
{
"id": "33a196f5-8a72-4b63-af9d-ff8a08a09db1",
"name": "Simple Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1840,
-576
],
"parameters": {
"sessionKey": "1",
"sessionIdType": "customKey"
},
"typeVersion": 1.3
},
{
"id": "d88601d1-f83c-46ea-9ab3-c5158d1aeb89",
"name": "Embeddings OpenAI1",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1184,
-496
],
"parameters": {
"options": {
"dimensions": 512
}
},
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
},
"typeVersion": 1.2
},
{
"id": "b5f80994-429a-4685-95d6-6ff3d9c45758",
"name": "Send message",
"type": "n8n-nodes-base.whatsApp",
"position": [
2128,
-800
],
"parameters": {
"textBody": "={{ $json.output }}",
"operation": "send",
"phoneNumberId": "Enter sender phone number id",
"additionalFields": {},
"recipientPhoneNumber": "={{ $('WhatsApp Trigger').item.json.messages[0].from }}"
},
"credentials": {
"whatsAppApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "ac8f0ef7-5a1e-4642-8d5f-c078ffe25fd6",
"name": "WhatsApp Trigger",
"type": "n8n-nodes-base.whatsAppTrigger",
"position": [
1488,
-896
],
"parameters": {
"options": {},
"updates": [
"messages"
]
},
"credentials": {
"whatsAppTriggerApi": {
"name": "<your credential>"
}
},
"typeVersion": 1
},
{
"id": "6e720df6-9ff0-4737-8700-e02919461fe2",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
48,
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],
"parameters": {
"width": 480,
"height": 528,
"content": "## How it Works\nThis workflow creates a RAG-based WhatsApp chatbot using your own documents.\n\nStep 1 -\nautomatically processes documents you upload to a Google Drive folder and generates embeddings and stores them inside a Pinecone Database. This prepares your knowledge base.\n\nStep 2 -\nlistens for incoming WhatsApp messages. When someone sends a message, the AI Agent fetches relevant context from Pinecone and uses the selected model to generate a helpful response. The final answer is then sent back to the user through WhatsApp.\n\n\n## Setup Steps\n\n-Connect Google Drive and select your source folder.\n-Add your Pinecone API key + index name.\n-Add your OpenAI API key for embeddings.\n-Connect your WhatsApp trigger and sender nodes.\n-Configure the AI Agent with your model.\n-Upload a test document and send a WhatsApp message to verify."
},
"typeVersion": 1
},
{
"id": "7f411f6a-5cb7-4355-9e4f-73ec9e6fce9c",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
736,
-960
],
"parameters": {
"color": 7,
"width": 512,
"height": 96,
"content": "### Document Processing & Embeddings\nProcesses uploaded Drive files, splits text into chunks, creates embeddings with OpenAI, and stores them in the Pinecone vector index."
},
"typeVersion": 1
},
{
"id": "c6e8cacf-86e2-4e64-ac79-e4426a2620f4",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
1680,
-992
],
"parameters": {
"color": 7,
"width": 432,
"height": 96,
"content": "### WhatsApp Message Flow\nReceives incoming WhatsApp messages, sends the query to the AI Agent, and returns the generated answer to the user."
},
"typeVersion": 1
},
{
"id": "aeeb9736-3cf6-4464-819d-bd602db85a65",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
2128,
-448
],
"parameters": {
"color": 7,
"width": 448,
"height": 96,
"content": "### AI Retrieval & Response Logic\nThe AI Agent retrieves relevant vectors from Pinecone and uses them as context to generate accurate answers through RAG."
},
"typeVersion": 1
}
],
"connections": {
"AI Agent": {
"main": [
[
{
"node": "Send message",
"type": "main",
"index": 0
}
]
]
},
"Download file": {
"main": [
[
{
"node": "Pinecone Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"WhatsApp Trigger": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store1",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Embeddings OpenAI1": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Google Drive Trigger": {
"main": [
[
{
"node": "Download file",
"type": "main",
"index": 0
}
]
]
},
"Pinecone Vector Store1": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Google Gemini Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Recursive Character Text Splitter1": {
"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.
googleDriveOAuth2ApigooglePalmApiopenAiApipineconeApiwhatsAppApiwhatsAppTriggerApi
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About this workflow
This workflow creates a WhatsApp chatbot that answers questions using your own PDFs through RAG (Retrieval-Augmented Generation). Every time you upload a document to Google Drive, it is processed into embeddings and stored in Pinecone—allowing the bot to respond with accurate,…
Source: https://n8n.io/workflows/10980/ — original creator credit. Request a take-down →
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