Vanna AI

Open Source

Open-source Python RAG framework for accurate text-to-SQL that trains on your schema and runs with any database or LLM.

open sourcetext to sql

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Our take

An open-source, RAG-based text-to-SQL framework that adapts to your schema and runs locally with the database and model of your choice.

Best for

Data teams and developers building private, self-hosted natural-language-to-SQL over their own databases.

Pros

Open-source (MIT) with self-hosting and local LLM support
RAG approach improves accuracy on complex schemas
Works with virtually any SQL database
Bundled web interface for chat-to-SQL

Cons

Requires setup and training on your data
Accuracy depends on schema documentation and model
More framework than turnkey product

How it compares

Versus closed text-to-SQL tools, Vanna offers privacy and flexibility through self-hosting; versus writing SQL by hand, it speeds ad-hoc querying for non-experts.

Full review

Vanna AI is an open-source Python framework that uses retrieval-augmented generation to convert natural-language questions into accurate SQL, training on your schema and examples.

It is MIT-licensed, works with local LLMs via Ollama, connects to virtually any database, and ships a production-ready web interface, with self-learning to improve over time.

It suits teams that want a private, flexible text-to-SQL layer they control, accepting the setup and tuning that come with a framework rather than a hosted product.