Intelligent Conversation with PostgreSQL Database
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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.Receive user message through the chat interface
- 2.Analyze the question using an OpenAI-powered intelligent agent
- 3.Query data from PostgreSQL tables based on the analysis
- 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
Details
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 (7)
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
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