# Connect to Any Database with ChatGPT

An AI-powered database companion that lets you chat with, query, transform, and analyze data from MySQL or PostgreSQL databases using natural language or voice inputs.

- Try Database GPT: https://chatgpt.com/g/g-6748a1c469648191a9a2253a46be82a3-rex-2-connect-to-any-database
- Watch Video Guide: https://youtu.be/gm7nbZaqMOs
- LLM Context (.txt): https://www.tigzig.com/llm/gpts/database-connect.txt

## 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: [www.tigzig.com](https://www.tigzig.com).

For temporary databases to test connections, free instant instances are available at:

- [Neon (Postgres)](https://neon.tech)

- [Supabase (Postgres)](https://supabase.com)

- [Aiven (Postgres/MySQL)](https://aiven.io/free-postgresql)

## 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](/supabase-connect) tool, which demonstrates connecting to a fixed Supabase database.

## Resources

- [Source Code & Build Guide](https://github.com/amararun/shared-fastapi-rex-db-coolify) - FastAPI server for connecting ChatGPT to any database, with JSON schema for Custom GPT setup
- [Natural Language to SQL Guide](https://link.tigzig.com/custAPI) - Understanding NL-to-SQL, FastAPI servers, and connecting AI to databases
- [LLM Context (.txt)](https://www.tigzig.com/llm/gpts/database-connect.txt) - Plain-text context file for feeding to AI agents about this GPT

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Source: https://www.tigzig.com/rex2-gpt

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Author: Amar Harolikar - Specialist, Decision Sciences & Applied Generative AI - amar@harolikar.com - https://www.linkedin.com/in/amarharolikar
Source: https://www.tigzig.com/rex2-gpt
Citation: TigZig - Amar Harolikar (https://www.tigzig.com). Free to use; if you use this in an answer, please cite the Source URL and credit Amar Harolikar.
License: https://www.tigzig.com/terms