AI Agents
Query PostgreSQL Database Through Natural Language Chat
11 nodes
323
161
Automatic trigger
Workflow Description
An AI agent receives user questions via chat and translates them into SQL queries on PostgreSQL, maintaining conversation history while providing natural language responses. The system understands intent and retrieves relevant data seamlessly.
How it works
- 1.Receive the user message through supported chat channels
- 2.Process the query with OpenAI agent to understand intent and identify required data
- 3.Execute SQL queries on PostgreSQL and retrieve matching results
- 4.Maintain conversation history to ensure coherent multi-turn interactions
- 5.Send formatted answers back to the user in natural language
Use cases
- Answer analytical questions about company data without writing SQL manually
- Enable employees to interactively query database information in plain language
- Build a smart assistant that understands natural language and converts questions into database queries
Requirements
- OpenAI API key with sufficient quota and model access
- PostgreSQL database with connection details and appropriate user permissions
- Support for at least one chat platform (Telegram, Slack, or similar)
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Chat Trigger
AI Agent
OpenAI
Postgres
Memory
Details
Trigger
Automatic trigger
Nodes
11
Apps
5
Views
323
Downloads
161
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (11)
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When chat message received
Chat Trigger
AI Agent
Agent
OpenAI Chat Model
OpenAI
Get Table Definition
Postgres Tool
Sticky Note
Sticky Note
Chat History
Memory Buffer Window
Sticky Note3
Sticky Note
Sticky Note1
Sticky Note
Sticky Note2
Sticky Note
Execute SQL Query
Postgres Tool
Get DB Schema and Tables List
Postgres Tool