What This GPT Does
#This Custom GPT provides a seamless interface between natural language and databases:
- Connect to any MySQL or PostgreSQL database through secure channels
- Query databases using natural language that gets converted to SQL
- Run complex statistical analysis with built-in Python code interpreter
- Create visual data representations with auto-generated charts
- Fast deployment with no custom UI builds or agent setups required
- Cost-effective: no separate token costs beyond ChatGPT subscription
- Works with both text and voice inputs (regular voice mode)
Important Note
This GPT is for testing purposes only. Any database credentials provided are proxied through my server.
For live deployments, users should self-host the backend connector (FastAPI or equivalent). Source code and guides: app.tigzig.com.
For temporary databases to test connections, free instant instances are available at:
How to Use
#- Connect Your Database
- Provide database credentials (host, user, password, database name)
- Format doesn't matter - the GPT can parse credentials from various formats
- Test the connection with a simple query like "show me some tables"
- Query Your Data
- Ask questions in natural language: "Show me the top 10 customers by purchase value"
- REX-GD will generate and execute the appropriate SQL query
- Review results directly in the chat interface
- Analyze and Visualize
- Request statistical analysis: "Calculate average order value by month"
- Ask for visualizations: "Create a bar chart of sales by region"
- Use generated charts in presentations via screenshots
How It Works
#This Custom GPT connects ChatGPT's interface with a FastAPI backend for database interactions:
Natural Language Processing
- ChatGPT interprets natural language requests
- Natural language converted to structured SQL queries
- AI determines the context and intent of database questions
Database Connectivity
- FastAPI server acts as a bridge between ChatGPT and your databases
- Connection strings can be provided in URI format or as separate parameters
- Server handles authentication and query execution through encrypted channels
- Results formatted and returned to the chat interface
Analysis and Visualization
- Built-in OpenAI Code Interpreter executes Python for data analysis
- OpenAPI schema defines how ChatGPT interacts with FastAPI endpoints
- Sample records can be analyzed internally without exposing raw data
- Create charts like combo charts with dual axes to visualize results
Two Main Ways to Connect
#1. Dynamic Connection to Any Database
This page demonstrates the dynamic connection method. You can provide credentials for any MySQL or PostgreSQL database to connect and start querying.
2. Fixed Connection to a Specific Database
For real-world applications, you might want to connect to a fixed database with more specific access controls. This can be achieved by using the /sqlquery/ endpoint and storing credentials securely in the backend.
As an example, see the Connect to Supabase tool, which demonstrates connecting to a fixed Supabase database.
Resources
FastAPI server for connecting ChatGPT to any database, with JSON schema for Custom GPT setup
Understanding NL-to-SQL, FastAPI servers, and connecting AI to databases
Plain-text context file for feeding to AI agents about this GPT