This workflow follows the Agent → Airtabletool 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 →
{
"name": "Fitnest ChatBot",
"nodes": [
{
"parameters": {
"public": true,
"mode": "webhook",
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"typeVersion": 1.1,
"position": [
-400,
-160
],
"id": "433a0e48-e053-4545-8ede-63d6242f0daa",
"name": "When chat message received"
},
{
"parameters": {
"options": {
"systemMessage": "=## Role:\nYou are a friendly and helpful assistant for a fitness company named **FitNest**.\n\n## Task:\nYou ONLY assist users with company-related and fitness information **by using tools**, and do not answer using your own knowledge.\n\n## Rules:\n- You MUST use the tool **fitnest_q** to answer any question about FitNest (e.g., hours, services, pricing, location, trainers, etc.).\n- Do NOT generate answers on your own. Only respond with content fetched via the `fitnest_q` tool.\n- If the tool gives no result, apologize and let the user know you couldn\u2019t find the information.\n\n## Tools:\n- **fitnest_q** \n Use this to fetch company knowledge. You MUST use this to answer ANY business-related question.\n\n- **Store_lead** \n Use this to save customer contact info (name, email, interest). Use it only after the customer agrees to receive a catalog or album.\n\n## Lead Collection Strategy:\n- If a user asks about services, trainers, timings, etc., you may casually ask:\n > \"Would you like me to send you a quick catalog or image album about this?\"\n- If they say yes, then kindly ask for their name and email. Don\u2019t sound salesy or pushy\u2014act like you\u2019re being helpful.\n"
}
},
"type": "@n8n/n8n-nodes-langchain.agent",
"typeVersion": 2,
"position": [
-180,
-160
],
"id": "47ae12c7-f190-47e3-b0a2-6034f648561a",
"name": "AI Agent"
},
{
"parameters": {
"model": {
"__rl": true,
"value": "gpt-4o-mini",
"mode": "list",
"cachedResultName": "gpt-4o-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
-240,
40
],
"id": "78b52a0b-f14a-4d95-8a48-847a5c3b1d76",
"name": "OpenAI Chat Model",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"contextWindowLength": 10
},
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"typeVersion": 1.3,
"position": [
-80,
40
],
"id": "5a7a4479-5134-40c1-b4bb-c74f9ac7d86e",
"name": "Simple Memory"
},
{
"parameters": {
"description": "Gives answers related to FitNest or FitNest Company "
},
"type": "@n8n/n8n-nodes-langchain.toolVectorStore",
"typeVersion": 1.1,
"position": [
80,
60
],
"id": "6acd27af-06da-4d1b-b87e-202538356eb2",
"name": "fitnest_q"
},
{
"parameters": {
"pineconeIndex": {
"__rl": true,
"value": "fitnestqna",
"mode": "list",
"cachedResultName": "fitnestqna"
},
"options": {
"pineconeNamespace": "fitnestQ&A"
}
},
"type": "@n8n/n8n-nodes-langchain.vectorStorePinecone",
"typeVersion": 1.1,
"position": [
-100,
220
],
"id": "4d4eafab-3d53-41fc-877b-61c7e99bd2f8",
"name": "Pinecone Vector Store",
"credentials": {
"pineconeApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.lmChatOpenAi",
"typeVersion": 1.2,
"position": [
280,
220
],
"id": "4485a8d7-f4b4-47c0-8935-5968b71fde97",
"name": "OpenAI Chat Model1",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"options": {}
},
"type": "@n8n/n8n-nodes-langchain.embeddingsOpenAi",
"typeVersion": 1.2,
"position": [
-180,
380
],
"id": "b3bec529-de07-45c6-84dc-61747cdb8b9b",
"name": "Embeddings OpenAI",
"credentials": {
"openAiApi": {
"name": "<your credential>"
}
}
},
{
"parameters": {
"operation": "create",
"base": {
"__rl": true,
"value": "appW8PlrEo47Q913i",
"mode": "list",
"cachedResultName": "FitNest",
"cachedResultUrl": "https://airtable.com/appW8PlrEo47Q913i"
},
"table": {
"__rl": true,
"value": "tblYBqSSqV8DjHyMX",
"mode": "list",
"cachedResultName": "Table 1",
"cachedResultUrl": "https://airtable.com/appW8PlrEo47Q913i/tblYBqSSqV8DjHyMX"
},
"columns": {
"mappingMode": "defineBelow",
"value": {
"Name": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Name', ``, 'string') }}",
"Email": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Email', ``, 'string') }}",
"Interest": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Interest', ``, 'string') }}",
"Status": "New lead"
},
"matchingColumns": [],
"schema": [
{
"id": "Name",
"displayName": "Name",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Email",
"displayName": "Email",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Interest",
"displayName": "Interest",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "string",
"readOnly": false,
"removed": false
},
{
"id": "Status",
"displayName": "Status",
"required": false,
"defaultMatch": false,
"canBeUsedToMatch": true,
"display": true,
"type": "options",
"options": [
{
"name": "New lead",
"value": "New lead"
},
{
"name": "Detail Sent",
"value": "Detail Sent"
}
],
"readOnly": false,
"removed": false
}
],
"attemptToConvertTypes": false,
"convertFieldsToString": false
},
"options": {
"typecast": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('Typecast', ``, 'boolean') }}"
}
},
"type": "n8n-nodes-base.airtableTool",
"typeVersion": 2.1,
"position": [
420,
60
],
"id": "b6f6e185-c2b2-4d3b-b148-a5647a3a8a2c",
"name": "Store_lead",
"credentials": {
"airtableTokenApi": {
"name": "<your credential>"
}
}
}
],
"connections": {
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Simple Memory": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"fitnest_q": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Pinecone Vector Store": {
"ai_vectorStore": [
[
{
"node": "fitnest_q",
"type": "ai_vectorStore",
"index": 0
}
]
]
},
"OpenAI Chat Model1": {
"ai_languageModel": [
[
{
"node": "fitnest_q",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Embeddings OpenAI": {
"ai_embedding": [
[
{
"node": "Pinecone Vector Store",
"type": "ai_embedding",
"index": 0
}
]
]
},
"Store_lead": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
}
},
"active": false,
"settings": {
"executionOrder": "v1"
},
"versionId": "b2f7eb94-f2b2-4efb-a8eb-34ab265fe97e",
"meta": {
"templateCredsSetupCompleted": true
},
"id": "jTapU9aLd6feN5aB",
"tags": []
}
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.
airtableTokenApiopenAiApipineconeApi
Pro
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About this workflow
Fitnest ChatBot. Uses chatTrigger, agent, lmChatOpenAi, memoryBufferWindow. Chat trigger; 9 nodes.
Source: https://github.com/VashishthSoni/AI-Automation-Workflows-n8n-make.com/blob/c2b5860c8bfd9a32c3775208faf9b18e374f9ead/n8n/Fitnest_ChatBot.json — original creator credit. Request a take-down →
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