The Vanna framework offers high accuracy on complex datasets, security and privacy, self-learning capabilities, support for any SQL database, and flexibility in choosing your front end. It can be extended to connect to any database, LLM, and vector database, with a VannaBase abstract base class defining some basic functionality. The package provides implementations for use with OpenAI and ChromaDB, but can be easily extended to use your own LLM or vector database.
Key takeaways:
- Vanna is an open-source Python RAG framework for SQL generation and related functionality. It works by training a RAG model on your data and then asking questions which return SQL queries.
- Vanna offers high accuracy on complex datasets, secure and private SQL execution, self-learning capabilities, and supports any SQL database. It also allows users to choose their front end.
- Vanna can be extended to connect to any database, LLM, and vector database. It provides implementations for use with OpenAI and ChromaDB, but can be easily extended to use your own LLM or vector database.
- Vanna provides a number of user interfaces built using the framework, including Jupyter Notebook, vanna-ai/vanna-streamlit, vanna-ai/vanna-flask, and vanna-ai/vanna-slack.