Business WhatsApp chatbot with RAG capabilities using Qdrant vector store and Google Drive document integration.
Build an intelligent WhatsApp Business chatbot that uses Retrieval-Augmented Generation (RAG) to answer customer questions based on your business documents. The workflow vectorizes documents from Google Drive using OpenAI embeddings and Qdrant vector store, then uses an AI Agent with memory to provide contextual, accurate responses via WhatsApp Business API.
{
"id": "whatsapp-ai-rag-chatbot",
"name": "Business WhatsApp AI RAG Chatbot",
"nodes": [
{
"parameters": {
"content": "## Template by Harshith Vaddiparthy\n\n\n**Learn to Build AI Automations**\nMaster n8n, AI agents, and no-code automation in my comprehensive course.\n→ harshith.com/vibecode\n\n\n**Content Automation Consulting**\nI help businesses automate video creation, social media, blogs, and newsletters.\n→ harshith.com/meet\n\n\n**Connect with me**\n→ linkedin.com/in/harshith-vaddiparthy",
"height": 310,
"width": 260,
"color": 5
},
"id": "promo-sticky-note",
"name": "Sticky Note - Credits",
"type": "n8n-nodes-base.stickyNote",
"position": [
-620,
-40
],
"typeVersion": 1
},
{
"id": "2c5b2dd1-c63f-4bc9-909e-5f4b2a385d01",
"name": "Respond to Webhook",
"type": "n8n-nodes-base.respondToWebhook",
"position": [
1020,
1040
],
"parameters": {
"options": {},
"respondWith": "text",
"responseBody": "={{ $json.query['hub.challenge'] }}"
},
"typeVersion": 1.1
},
{
"id": "cc230fcd-f88c-40d4-8835-ac9dc6228b18",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
1560,
1380
],
"parameters": {
"text": "={{ $('Respond').item.json.body.entry[0].changes[0].value.messages[0].text.body }}",
"agent": "conversationalAgent",
"options": {
"systemMessage": "You are an AI-powered assistant for a business. Your primary goal is to assist customers by providing accurate and helpful information about products, troubleshooting tips, and general support. Use the provided knowledge base (retrieved documents) to answer questions with precision and professionalism.\n\n**Guidelines**:\n1. **Product Information**:\n - Provide detailed descriptions of products, including specifications, features, and compatibility.\n - Highlight key selling points and differences between similar products.\n - Mention availability, pricing, and promotions if applicable.\n\n2. **Technical Support**:\n - Offer step-by-step troubleshooting guides for common issues.\n - Suggest solutions for setup, installation, or configuration problems.\n - If the issue is complex, recommend contacting support for further assistance.\n\n3. **Customer Service**:\n - Respond politely and professionally to all inquiries.\n - If a question is unclear, ask for clarification to provide the best possible answer.\n - For order-related questions, guide customers on how to proceed.\n\n4. **Knowledge Base Usage**:\n - Always reference the provided knowledge base to ensure accuracy.\n - If the knowledge base does not contain relevant information, inform the customer and suggest alternative resources.\n\n5. **Tone and Style**:\n - Use a friendly, approachable, and professional tone.\n - Avoid technical jargon unless the customer demonstrates familiarity.\n - Keep responses concise but informative."
},
"promptType": "define"
},
"typeVersion": 1.7
},
{
"id": "283df38d-1a2b-44d9-8e29-28ca1c4c9",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
740,
1260
],
"parameters": {
"width": 459,
"height": 485,
"content": "# STEP 4\n\n## RAG System\n\n* *Respond* webhook receives various POST Requests from Meta regarding WhatsApp messages\n* Check if the incoming JSON contains user message\n* Echo back the text message to the user via WhatsApp Business API"
},
"typeVersion": 1
},
{
"id": "b8f5ac53-03fe-4151-ac56-b246245702b6",
"name": "OpenAI Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"position": [
1560,
1580
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"credentials": {
"openAiApi": {
"id": "YOUR_OPENAI_CREDENTIAL_ID",
"name": "OpenAI"
}
},
"typeVersion": 1.2
},
{
"id": "a02f4e76-1895-48ad-a2d5-6daf3347f181",
"name": "When clicking 'Test workflow'",
"type": "n8n-nodes-base.manualTrigger",
"position": [
460,
100
],
"parameters": {},
"typeVersion": 1
},
{
"id": "35a71dd7-ae08-46c5-acb2-e66d92b311cb",
"name": "Qdrant Vector Store",
"type": "@n8n/n8n-nodes-langchain.vectorStoreQdrant",
"position": [
1440,
220
],
"parameters": {
"mode": "insert",
"options": {},
"qdrantCollection": {
"__rl": true,
"mode": "id",
"value": "=YOUR_COLLECTION_NAME"
}
},
"credentials": {
"qdrantApi": {
"id": "YOUR_QDRANT_CREDENTIAL_ID",
"name": "Qdrant"
}
},
"typeVersion": 1
},
{
"id": "1538c8b1-f914-4991-b311-e533df625c5f",
"name": "Create collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
760,
-40
],
"parameters": {
"url": "https://YOUR_QDRANT_URL/collections/YOUR_COLLECTION_NAME",
"method": "POST",
"options": {},
"jsonBody": "{\n \"filter\": {}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "YOUR_QDRANT_HTTP_CREDENTIAL_ID",
"name": "Qdrant API"
}
},
"typeVersion": 4.2
},
{
"id": "423b73a6-2497-4635-9ad0-9e768f32018d",
"name": "Refresh collection",
"type": "n8n-nodes-base.httpRequest",
"position": [
760,
220
],
"parameters": {
"url": "https://YOUR_QDRANT_URL/collections/YOUR_COLLECTION_NAME/points/delete",
"method": "POST",
"options": {},
"jsonBody": "{\n \"filter\": {}\n}",
"sendBody": true,
"sendHeaders": true,
"specifyBody": "json",
"authentication": "genericCredentialType",
"genericAuthType": "httpHeaderAuth",
"headerParameters": {
"parameters": [
{
"name": "Content-Type",
"value": "application/json"
}
]
}
},
"credentials": {
"httpHeaderAuth": {
"id": "YOUR_QDRANT_HTTP_CREDENTIAL_ID",
"name": "Qdrant API"
}
},
"typeVersion": 4.2
},
{
"id": "9519866a-f28a-495a-9cb4-3b2170407943",
"name": "Get folder",
"type": "n8n-nodes-base.googleDrive",
"position": [
980,
220
],
"parameters": {
"filter": {
"driveId": {
"__rl": true,
"mode": "list",
"value": "My Drive",
"cachedResultUrl": "https://drive.google.com/drive/my-drive",
"cachedResultName": "My Drive"
},
"folderId": {
"__rl": true,
"mode": "id",
"value": "=YOUR_GOOGLE_DRIVE_FOLDER_ID"
}
},
"options": {},
"resource": "fileFolder"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "YOUR_GOOGLE_DRIVE_CREDENTIAL_ID",
"name": "Google Drive"
}
},
"typeVersion": 3
},
{
"id": "c9a36259-8340-4382-8bb0-84b73a8288c6",
"name": "Download Files",
"type": "n8n-nodes-base.googleDrive",
"position": [
1200,
220
],
"parameters": {
"fileId": {
"__rl": true,
"mode": "id",
"value": "={{ $json.id }}"
},
"options": {
"googleFileConversion": {
"conversion": {
"docsToFormat": "text/plain"
}
}
},
"operation": "download"
},
"credentials": {
"googleDriveOAuth2Api": {
"id": "YOUR_GOOGLE_DRIVE_CREDENTIAL_ID",
"name": "Google Drive"
}
},
"typeVersion": 3
},
{
"id": "b20975d7-e367-49a3-ac8c-613289775463",
"name": "Embeddings OpenAI",
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"position": [
1420,
420
],
"parameters": {
"options": {}
},
"credentials": {
"openAiApi": {
"id": "YOUR_OPENAI_CREDENTIAL_ID",
"name": "OpenAI"
}
},
"typeVersion": 1.1
},
{
"id": "4c2d02a4-c954-42c4-97b0-b94ee3198f56",
"name": "Default Data Loader",
"type": "@n8n/n8n-nodes-langchain.documentDefaultDataLoader",
"position": [
1600,
420
],
"parameters": {
"options": {},
"dataType": "binary"
},
"typeVersion": 1
},
{
"id": "72591129-1691-4caf-bf63-c04db85708dc",
"name": "Token Splitter",
"type": "@n8n/n8n-nodes-langchain.textSplitterTokenSplitter",
"position": [
1560,
580
],
"parameters": {
"chunkSize": 300,
"chunkOverlap": 30
},
"typeVersion": 1
},
{
"id": "cc74592d-6562-4816-917c-0d88913a8125",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
200,
1140
],
"parameters": {
"color": 3,
"width": 405,
"height": 177,
"content": "## Important!\n### Configure the webhook nodes this way:\n* Make sure that both *Verify* and *Respond* have the same URL\n* *Verify* should have GET HTTP Method\n* *Respond* should have POST HTTP Method"
},
"typeVersion": 1
},
{
"id": "9c8d4973-dcc5-4506-967f-3b3a5df501fa",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
740,
800
],
"parameters": {
"color": 5,
"width": 618,
"height": 392,
"content": "# STEP 3\n\n## Create Webhook\n* Go to your Meta for Developers App page, navigate to the App settings\n* Add a **production webhook URL** as a new Callback URL\n* *Verify* webhook receives a GET Request and sends back a verification code\n* After that you can delete this"
},
"typeVersion": 1
},
{
"id": "ec013e0c-a354-4f12-8ded-97013bb8fb21",
"name": "Verify",
"type": "n8n-nodes-base.webhook",
"position": [
780,
1040
],
"webhookId": "YOUR_WEBHOOK_ID",
"parameters": {
"path": "YOUR_WEBHOOK_PATH",
"options": {},
"responseMode": "responseNode"
},
"typeVersion": 2
},
{
"id": "253ddc93-5693-4362-aa6c-a80ab3f6df82",
"name": "Respond",
"type": "n8n-nodes-base.webhook",
"position": [
760,
1420
],
"webhookId": "YOUR_WEBHOOK_ID",
"parameters": {
"path": "YOUR_WEBHOOK_PATH",
"options": {},
"httpMethod": "POST"
},
"typeVersion": 2
},
{
"id": "2d4b956e-92d9-41da-a6d3-9f588e453d2a",
"name": "is Message?",
"type": "n8n-nodes-base.if",
"position": [
980,
1420
],
"parameters": {
"options": {},
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "loose"
},
"combinator": "and",
"conditions": [
{
"id": "959fbffc-876a-4235-87be-2dedba4926cd",
"operator": {
"type": "object",
"operation": "exists",
"singleValue": true
},
"leftValue": "={{ $json.body.entry[0].changes[0].value.messages[0] }}",
"rightValue": ""
}
]
},
"looseTypeValidation": true
},
"typeVersion": 2.2
},
{
"id": "2af633a9-f6b0-4989-9e85-abb619d2b3bb",
"name": "Only message",
"type": "n8n-nodes-base.whatsApp",
"position": [
1280,
1520
],
"parameters": {
"textBody": "=You can only send text messages",
"operation": "send",
"phoneNumberId": "YOUR_WHATSAPP_PHONE_NUMBER_ID",
"requestOptions": {},
"additionalFields": {},
"recipientPhoneNumber": "={{ $('Respond').item.json.body.entry[0].changes[0].value.contacts[0].wa_id }}"
},
"credentials": {
"whatsAppApi": {
"id": "YOUR_WHATSAPP_CREDENTIAL_ID",
"name": "WhatsApp"
}
},
"typeVersion": 1
},
{
"id": "5235dd06-2235-4edb-904e-872848e2ed79",
"name": "Send",
"type": "n8n-nodes-base.whatsApp",
"position": [
1980,
1380
],
"parameters": {
"textBody": "={{ $json.output }}",
"operation": "send",
"phoneNumberId": "YOUR_WHATSAPP_PHONE_NUMBER_ID",
"requestOptions": {},
"additionalFields": {},
"recipientPhoneNumber": "={{ $('Respond').item.json.body.entry[0].changes[0].value.contacts[0].wa_id }}"
},
"credentials": {
"whatsAppApi": {
"id": "YOUR_WHATSAPP_CREDENTIAL_ID",
"name": "WhatsApp"
}
},
"typeVersion": 1
},
{
"id": "dafe692e-7767-4ded-966c-df812f58ae63",
"name": "Window Buffer Memory",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
1760,
1580
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "ba6254bd-4dad-47bb-a535-7b6b708ea763",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
960,
-100
],
"parameters": {
"color": 6,
"width": 880,
"height": 220,
"content": "# STEP 1\n\n## Create Qdrant Collection\nChange:\n- YOUR_QDRANT_URL\n- YOUR_COLLECTION_NAME"
},
"typeVersion": 1
},
{
"id": "83cf4483-cd45-4de6-9b88-e00727ed8352",
"name": "Sticky Note4",
"type": "n8n-nodes-base.stickyNote",
"position": [
740,
160
],
"parameters": {
"color": 4,
"width": 620,
"height": 400,
"content": "# STEP 2\n\n## Documents vectorization with Qdrant and Google Drive\nChange:\n- YOUR_QDRANT_URL\n- YOUR_COLLECTION_NAME"
},
"typeVersion": 1
},
{
"id": "4e0a4245-370f-4596-b01b-4eed8acbe2c3",
"name": "Sticky Note5",
"type": "n8n-nodes-base.stickyNote",
"position": [
1520,
1260
],
"parameters": {
"width": 380,
"height": 260,
"content": "## Configure AI Agent\nSet System prompt and chat model. If you want you can set any tools"
},
"typeVersion": 1
}
],
"active": false,
"pinData": {},
"settings": {
"executionOrder": "v1"
},
"connections": {
"Verify": {
"main": [
[
{
"node": "Respond to Webhook",
"type": "main",
"index": 0
}
]
]
},
"Respond": {
"main": [
[
{
"node": "is Message?",
"type": "main",
"index": 0
}
]
]
},
"AI Agent": {
"main": [
[
{
"node": "Send",
"type": "main",
"index": 0
}
]
]
},
"Get folder": {
"main": [
[
{
"node": "Download Files",
"type": "main",
"index": 0
}
]
]
},
"is Message?": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
],
[
{
"node": "Only message",
"type": "main",
"index": 0
}
]
]
},
"Download Files": {
"main": [
[
{
"node": "Qdrant Vector Store",
"type": "main",
"index": 0
}
]
]
},
"Token Splitter": {
"ai_textSplitter": [
[
{
"node": "Default Data Loader",
"type": "ai_textSplitter",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Refresh collection": {
"main": [
[
{
"node": "Get folder",
"type": "main",
"index": 0
}
]
]
},
"Default Data Loader": {
"ai_document": [
[
{
"node": "Qdrant Vector Store",
"type": "ai_document",
"index": 0
}
]
]
},
"Window Buffer Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"When clicking 'Test workflow'": {
"main": [
[
{
"node": "Create collection",
"type": "main",
"index": 0
},
{
"node": "Refresh collection",
"type": "main",
"index": 0
}
]
]
}
}
}Copy this JSON and import it into n8n via Settings → Import from File/URL → Paste JSON