If you’re looking for an AI-powered solution to interact with your PostgreSQL database using natural language, there are a few interesting options:

https://ikoess.com/is-there-any-best-ai-gpt-for-postgresql-database-free/


pg_gpt (Experimental Extension):

  • Description: An experimental extension that brings the OpenAI GPT API to your PostgreSQL database. It allows you to run queries in human language.
  • How It Works: The extension sends a subset of your database schema to ChatGPT and asks it to generate a query based on this schema and user input.

Installation:

  • First, install pgx using: cargo install --locked cargo-pgx.
  • Clone the pg_gpt repository and follow the setup instructions.
  • Set your OpenAI API key and create the extension: create extension pg_gpt; set openai.key = '<YOUR OPENAI API KEY HERE>';

Limitations:

  • Schema Size: Currently uses gpt-3.5-turbo, which is limited to 4096 tokens. Use gpt_tables to narrow down the set of tables.

Note: This plugin sends schema (without data) to the OpenAI GPT API, so it’s not recommended for production databases1.

pgvector:

  • Description: An open-source library that can turn your Postgres DB into a vector database.
  • Usage: You can store embeddings using the pgvector extension.
  • Availability: Free and open-source2.

postgres-gpt:

  • Description: Combines pgvector and OpenAI GPT for PostgreSQL.

Installation:

Use Docker: docker run --name postgres-gpt -p 5432:5432 -e OPENAI_API_KEY=<your_openai_api_key> -e POSTGRES_PASSWORD=postgres -d yulinying/postgres-gpt

Alternatively, use the yulinying/postgres-gpt-playground image with pre-embedded sample document data3