MindSQL

Overview

MindSQL is a Python library that converts natural language questions into SQL queries using retrieval-augmented generation. It integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery, and supports GPT-4 and Llama 2 as language models. ChromaDB and Faiss provide context-aware retrieval for accurate query generation.

Best for

Best for
Developers who want to add natural language querying to existing SQL databases

Use cases

• Query databases with natural language instead of writing SQL
• Build RAG pipelines that combine vector search with SQL execution
• Integrate text-to-SQL capabilities into Python applications

Notes

MindSQL is a Python library that converts natural language questions into SQL queries using retrieval-augmented generation. It integrates with PostgreSQL, MySQL, SQLite, Snowflake, and BigQuery, and supports GPT-4 and Llama 2 as language models. ChromaDB and Faiss provide context-aware retrieval for accurate query generation.

443 stars on GitHub. Last updated 2025-07-16. Licensed GPL-3.0.

Use cases

• Query databases with natural language instead of writing SQL
• Build RAG pipelines that combine vector search with SQL execution
• Integrate text-to-SQL capabilities into Python applications

Pros

• Supports multiple major SQL databases out of the box
• Offers choice between GPT-4 and Llama 2 for query generation
• Uses vector stores like ChromaDB and Faiss for context-aware responses

Cons

• Requires external API keys or local setup for language models
• Limited to the six supported databases
• Community project with moderate adoption (443 stars)

Indexed from awesome-llm and enriched against its public facts.