AI Agents

Intelligent Conversation with PostgreSQL Database

11 nodes 321 151 Automatic trigger
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Workflow Description

A smart agent receives user questions through chat, analyzes them with OpenAI, queries a PostgreSQL database for answers, and maintains conversation history for better context. Enable natural language access to your database without SQL knowledge.

How it works

  1. 1.Receive user message through the chat interface
  2. 2.Analyze the question using an OpenAI-powered intelligent agent
  3. 3.Query data from PostgreSQL tables based on the analysis
  4. 4.Return the answer while preserving conversation context in memory

Use cases

  • Answer questions about data stored in your PostgreSQL database
  • Build a customer support assistant that understands natural language queries
  • Generate reports and data summaries through conversational interaction

Requirements

  • A configured PostgreSQL database with required tables and data
  • Valid OpenAI API key for language model access
  • Secure network connection from n8n to your database server

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 321
Downloads 151

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (11)

/

When chat message received

Chat Trigger

#1

AI Agent

Agent

#2

OpenAI Chat Model

OpenAI

#3

Get Table Definition

Postgres Tool

#4

Sticky Note

Sticky Note

#5

Chat History

Memory Buffer Window

#6

Sticky Note3

Sticky Note

#7

Sticky Note1

Sticky Note

#8

Sticky Note2

Sticky Note

#9

Execute SQL Query

Postgres Tool

#10

Get DB Schema and Tables List

Postgres Tool

#11