AI Agents
Chat with PostgreSQL database
11 nodes
229
129
Automatic trigger
Workflow Description
A template that enables natural language conversations with a PostgreSQL database using an intelligent agent powered by OpenAI. The agent understands user questions and automatically executes database queries while maintaining conversation context and history.
How it works
- 1.Receive user message through the chat interface
- 2.Process text using OpenAI agent to understand intent and required data
- 3.Execute SQL query on PostgreSQL database based on agent understanding
- 4.Return results formatted as a natural response to the user
- 5.Store conversation in memory for context in subsequent interactions
Use cases
- Query data and generate reports instantly without writing SQL manually
- Build a smart chat interface for customers or employees to access company data
- Analyze complex datasets and answer business questions in natural language
Requirements
- Active OpenAI account with API key configured
- PostgreSQL database set up and accessible remotely
- Read and query permissions on required database tables
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
229
Downloads
129
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