# Connect ChatGPT to Supabase (OLD)

Connect ChatGPT to Supabase (OLD)

## Links
- App: https://chatgpt.com/g/g-6785000cec888191985d29429888a373-supabase-connect
- Docs: https://tigzig.com/app-documentation/supabase-connect.html

## Tags
chatgpt-integrations

## Documentation

    - [Try the GPT](https://chatgpt.com/g/g-6785000cec888191985d29429888a373-supabase-connect)

# Connect ChatGPT to Supabase [OLD]

        Connect ChatGPT to Supabase for Natural language to SQL, charts, and Python stats
        Transform ChatGPT into a powerful data analysis tool with direct Supabase database connectivity. Query data using natural language, generate charts, and perform statistical analysis.

## Video Guide

[https://www.youtube.com/watch?v=Zx5Noz2sFgA](https://www.youtube.com/watch?v=Zx5Noz2sFgA)

## What This Gpt Does

Query databases using natural language without writing SQL

- Generate visual charts and graphs from query results

- Perform statistical analysis using Python

- Access real-time data for dynamic analysis

- Handle large datasets efficiently (tested with 1.5M+ records)

- Present results in both table and chart formats

- Run complex analytical tasks like Chi-square tests

## How To Use

- Deploy Backend (5 mins)

- Fork and deploy the FastAPI server code to Render/Railway

- Set DATABASE_URL and REX_API_KEY environment variables

- Note down your deployment URL for the next step

- Configure GPT (5 mins)

- Create a new Custom GPT and add instructions

- Enable Code Interpreter for chart generation

- Add the OpenAPI schema with your endpoint details

- Start Analyzing

- Query your data using natural language

- Request visualizations and statistical analysis

- View results in tables and charts

## How It Works

Backend Architecture:

- FastAPI server handles communication between ChatGPT and database

- SQL Alchemy for database operations and query execution

- API Key authentication for endpoint security

Integration Components:

- Natural language to SQL translation

- Python-based statistical analysis capabilities

- Chart generation through Code Interpreter

- OpenAPI schema for ChatGPT actions

Data Flow:

- User queries processed by ChatGPT's natural language understanding

- Queries converted to SQL and executed on Supabase

- Results formatted into tables and visualizations

- Statistical analysis performed on query results

## Two Main Ways To Connect

- Fixed Connection to a Specific Database

This page demonstrates the fixed connection method, where the GPT is connected to a specific Supabase database.

- Dynamic Connection to Any Database

If you want to connect to any database on the fly, you can use the dynamic connection method.

Check out the Connect to Any Database tool for an example: app.tigzig.com/rex2-gpt

## Resources

Complete Source Code:

[https://github.com/amararun/supabase-fastapi-sqlachemy-directdb](https://github.com/amararun/supabase-fastapi-sqlachemy-directdb)

FastAPI server code with SQL Alchemy integration and deployment instructions

Step-by-Step Video Guide:

[https://www.youtube.com/watch?v=Zx5Noz2sFgA](https://www.youtube.com/watch?v=Zx5Noz2sFgA)

Detailed walkthrough of setup process and demonstration of features

## Built On

OpenAI's GPT Platform - This custom GPT transforms ChatGPT into a powerful database analysis tool, enabling natural language interaction with Supabase databases.