Gegenfeld This workflow corresponds to n8n.io template #2985 — 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": "e1055031-f1f1-44dd-8e3b-18b9f543aac2",
"name": "When chat message received",
"type": "@n8n/n8n-nodes-langchain.chatTrigger",
"position": [
-60,
-80
],
"parameters": {},
"typeVersion": 1.1
},
{
"id": "88eaaf60-aed6-4e9d-9667-d2838a8e7f78",
"name": "Chat History",
"type": "@n8n/n8n-nodes-langchain.memoryBufferWindow",
"position": [
280,
120
],
"parameters": {},
"typeVersion": 1.3
},
{
"id": "a5b49dee-d5e4-4324-a7f8-1638e4e41abd",
"name": "MySQL",
"type": "n8n-nodes-base.mySqlTool",
"position": [
460,
120
],
"parameters": {},
"typeVersion": 2.4
},
{
"id": "7abfcdc7-dfc5-4627-a479-82dd38404c88",
"name": "MySQL Schema",
"type": "n8n-nodes-base.mySqlTool",
"position": [
640,
120
],
"parameters": {},
"typeVersion": 2.4
},
{
"id": "bc9dfb90-0696-4801-a5c2-741c2fd27855",
"name": "MySQL Definition",
"type": "n8n-nodes-base.mySqlTool",
"position": [
820,
120
],
"parameters": {},
"typeVersion": 2.4
},
{
"id": "fd8344a4-ee89-4365-ae36-cc39f26c47df",
"name": "AI Agent",
"type": "@n8n/n8n-nodes-langchain.agent",
"position": [
360,
-80
],
"parameters": {},
"typeVersion": 1.7
},
{
"id": "4849ec08-2ab9-46f2-bc8c-f9dad3196246",
"name": "Groq Chat Model",
"type": "@n8n/n8n-nodes-langchain.lmChatGroq",
"position": [
100,
120
],
"parameters": {},
"typeVersion": 1
},
{
"id": "400a5f98-60af-4acb-950a-085402f3502d",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
60,
300
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "5859cd82-9d6c-4783-8ef9-44cd4d800148",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
240,
300
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "599c02ac-7246-4cab-8bdd-1f6565ece04d",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
420,
300
],
"parameters": {
"content": ""
},
"typeVersion": 1
},
{
"id": "33cbfb73-10e5-428b-ba71-539be16e7bc7",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-60,
-300
],
"parameters": {
"content": ""
},
"typeVersion": 1
}
],
"connections": {
"MySQL": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Chat History": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"MySQL Schema": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"Groq Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"MySQL Definition": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
}
}
}
For the full experience including quality scoring and batch install features for each workflow upgrade to Pro
About this workflow
This guide shows you how to deploy a chatbot that lets you query your database using natural language. You will build a system that accepts chat messages, retains conversation history, constructs dynamic SQL queries, and returns responses generated by an AI model. By following…
Source: https://n8n.io/workflows/2985/ — original creator credit. Request a take-down →
Related workflows
Workflows that share integrations, category, or trigger type with this one. All free to copy and import.
teste. Uses chatTrigger, agent, lmChatGroq, memoryBufferWindow. Chat trigger; 24 nodes.
pix-zap. Uses chatTrigger, agent, toolCalculator, toolWikipedia. Chat trigger; 21 nodes.
This workflow enables multimodal file analysis using Google Gemini tools connected to a text-only LLM agent. Users can upload images, videos, audio files, or documents via a chat interface. The workfl
📌 Overview This workflow automates end-to-end appointment scheduling for your business using an AI-powered chatbot. Clients can book, reschedule, or cancel meetings through a simple chat interface — n
Case 1. Uses chatTrigger, googleSheets, agent, lmChatGroq. Chat trigger; 9 nodes.