About this recipe
Recipe Template
{
"id": "eOUewYsEzJmQixI6",
"meta": {
"instanceId": "77c4feba8f41570ef06dc76ece9a6ded0f0d44f7f1477a64c2d71a8508c11faa",
"templateCredsSetupCompleted": true
},
"name": "Chat with Postgresql Database",
"tags": [],
"nodes": [
{
"id": "6501a54f-a68c-452d-b353-d7e871ca3780",
"name": "When chat message received",
"type": "@n8n\/n8n-nodes-langchain.chatTrigger",
"position": [
-300,
-80
],
"webhookId": "cf1de04f-3e38-426c-89f0-3bdb110a5dcf",
"parameters": {
"options": []
},
"typeVersion": 1.1
},
{
"id": "cd32221b-2a36-408d-b57e-8115fcd810c9",
"name": "AI Agent",
"type": "@n8n\/n8n-nodes-langchain.agent",
"position": [
0,
-80
],
"parameters": {
"agent": "openAiFunctionsAgent",
"options": {
"systemMessage": "You are DB assistant. You need to run queries in DB aligned with user requests.\n\nRun custom SQL query to aggregate data and response to user. Make sure every table has schema prefix to it in sql query which you can get from `Get DB Schema and Tables List` tool.\n\nFetch all data to analyse it for response if needed.\n\n## Tools\n\n- Execute SQL query - Executes any sql query generated by AI\n- Get DB Schema and Tables List - Lists all the tables in database with its schema name\n- Get Table Definition - Gets the table definition from db using table name and schema name"
}
},
"typeVersion": 1.7
},
{
"id": "8accbeeb-7eaf-4e9e-aabc-de8ab3a0459b",
"name": "OpenAI Chat Model",
"type": "@n8n\/n8n-nodes-langchain.lmChatOpenAi",
"position": [
-60,
160
],
"parameters": {
"model": {
"__rl": true,
"mode": "list",
"value": "gpt-4o-mini"
},
"options": []
},
"credentials": {
"openAiApi": {
"id": "48uG61Ilo8jndw3r",
"name": "Your OpenAI Account Credentials"
}
},
"typeVersion": 1.2
},
{
"id": "11f2013f-a080-4c9e-8773-c90492e2c628",
"name": "Get Table Definition",
"type": "n8n-nodes-base.postgresTool",
"position": [
780,
140
],
"parameters": {
"query": "select\n c.column_name,\n c.data_type,\n c.is_nullable,\n c.column_default,\n tc.constraint_type,\n ccu.table_name AS referenced_table,\n ccu.column_name AS referenced_column\nfrom\n information_schema.columns c\nLEFT join\n information_schema.key_column_usage kcu\n ON c.table_name = kcu.table_name\n AND c.column_name = kcu.column_name\nLEFT join\n information_schema.table_constraints tc\n ON kcu.constraint_name = tc.constraint_name\n AND tc.constraint_type = 'FOREIGN KEY'\nLEFT join\n information_schema.constraint_column_usage ccu\n ON tc.constraint_name = ccu.constraint_name\nwhere\n c.table_name = '{{ $fromAI(\"table_name\") }}'\n AND c.table_schema = '{{ $fromAI(\"schema_name\") }}'\norder by\n c.ordinal_position",
"options": [],
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Get table definition to find all columns and types"
},
"credentials": {
"postgres": {
"id": "nGI61D0TEEZz18rr",
"name": "Your Postgresql Database Credentials"
}
},
"typeVersion": 2.5
},
{
"id": "760bc9bc-0057-4088-b3f0-3ee37b3519df",
"name": "Sticky Note",
"type": "n8n-nodes-base.stickyNote",
"position": [
-300,
-240
],
"parameters": {
"color": 5,
"width": 560,
"height": 120,
"content": "### \ud83d\udc68\u200d\ud83c\udfa4 Setup\n1. Add your **postgresql** and **OpenAI** credentials.\n2. Click **Chat** button and start asking questions to your database.\n3. Activate the workflow and you can make the chat publicly available."
},
"typeVersion": 1
},
{
"id": "0df33341-c859-4a54-b6d9-a99670e8d76d",
"name": "Chat History",
"type": "@n8n\/n8n-nodes-langchain.memoryBufferWindow",
"position": [
120,
160
],
"parameters": [],
"typeVersion": 1.3
},
{
"id": "4938b22e-f187-4ca0-b9f1-60835e823799",
"name": "Sticky Note3",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
300
],
"parameters": {
"color": 7,
"width": 562,
"height": 156,
"content": "\ud83d\udee0\ufe0f Tools Used:\n1. Execute SQL Query: Used to execute any query generated by the agent.\n2. Get DB Schema and Tables List: It returns the list of all the tables with its schema name.\n3. Get Table Definition: It returns table details like column names, foreign keys and more of a particular table in a schema."
},
"typeVersion": 1
},
{
"id": "39780c78-4fbc-403e-a220-aa6a4b06df8c",
"name": "Sticky Note1",
"type": "n8n-nodes-base.stickyNote",
"position": [
-100,
300
],
"parameters": {
"color": 7,
"width": 162,
"height": 99,
"content": "\ud83d\udc46 You can exchange this with any other chat model of your choice."
},
"typeVersion": 1
},
{
"id": "28a5692c-5003-46cb-9a09-b7867734f446",
"name": "Sticky Note2",
"type": "n8n-nodes-base.stickyNote",
"position": [
100,
300
],
"parameters": {
"color": 7,
"width": 162,
"height": 159,
"content": "\ud83d\udc46 You can change how many number of messages to keep using `Context Window Length` option. It's 5 by default."
},
"typeVersion": 1
},
{
"id": "c18ced71-6330-4ba0-9c52-1bb5852b3039",
"name": "Execute SQL Query",
"type": "n8n-nodes-base.postgresTool",
"position": [
380,
140
],
"parameters": {
"query": "{{ $fromAI(\"sql_query\", \"SQL Query\") }}",
"options": [],
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Get all the data from Postgres, make sure you append the tables with correct schema. Every table is associated with some schema in the database."
},
"credentials": {
"postgres": {
"id": "nGI61D0TEEZz18rr",
"name": "Your Postgresql Database Credentials"
}
},
"typeVersion": 2.5
},
{
"id": "557623c6-e499-48a6-a066-744f64f8b6f3",
"name": "Get DB Schema and Tables List",
"type": "n8n-nodes-base.postgresTool",
"position": [
580,
140
],
"parameters": {
"query": "SELECT \n table_schema,\n table_name\nFROM information_schema.tables\nWHERE table_type = 'BASE TABLE'\n AND table_schema NOT IN ('pg_catalog', 'information_schema')\nORDER BY table_schema, table_name;",
"options": [],
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Get list of all tables with their schema in the database"
},
"credentials": {
"postgres": {
"id": "nGI61D0TEEZz18rr",
"name": "Your Postgresql Database Credentials"
}
},
"typeVersion": 2.5
}
],
"active": false,
"pinData": [],
"settings": {
"executionOrder": "v1"
},
"versionId": "10c7c74e-b383-4ac7-8cb2-c9a15a2818fe",
"connections": {
"Chat History": {
"ai_memory": [
[
{
"node": "AI Agent",
"type": "ai_memory",
"index": 0
}
]
]
},
"Execute SQL Query": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"OpenAI Chat Model": {
"ai_languageModel": [
[
{
"node": "AI Agent",
"type": "ai_languageModel",
"index": 0
}
]
]
},
"Get Table Definition": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
},
"When chat message received": {
"main": [
[
{
"node": "AI Agent",
"type": "main",
"index": 0
}
]
]
},
"Get DB Schema and Tables List": {
"ai_tool": [
[
{
"node": "AI Agent",
"type": "ai_tool",
"index": 0
}
]
]
}
}
}
How to Use an n8n Template
Create a New Workflow
Click "New Workflow" in your n8n dashboard to get started.
Copy & Paste Template
First, copy this template:
Click here to copy the JSON
.
Then, in n8n, click the three dots (···) → "Import from file" and paste the JSON code.
Customize the Nodes
Go through each node in the workflow to update inputs like spreadsheet IDs, email addresses, or message content. Adjust field mappings to match your data.
Grant Access
For nodes that connect to external apps (like Google Sheets or Slack), you'll need to grant access. Connect your accounts using OAuth or an API key and save the credentials in the node.
Test It
Run the workflow by clicking "Execute Node" for each step or "Run Once" for the whole thing. Check the right sidebar to inspect data and debug any errors (they'll show up in red).
Activate Workflow
Once everything works as expected, click the "Activate" toggle to turn your workflow on. You're all set!