Vanna AI

Vanna AI is an open-source Python framework that uses Retrieval-Augmented Generation (RAG) to turn natural language questions into SQL queries and database insights. It helps users interact with databases using everyday language instead of writing every query manually.

Vanna AI can be trained with database schemas, documentation, metadata, and previous SQL examples to provide context for generating queries. It supports different AI models and databases, making it suitable for building customized AI-powered data applications.

How Vanna AI Works

• Train the Framework: Add database metadata, documentation, schemas, and sample SQL queries to create the RAG knowledge base.
• Ask a Question: Users enter questions about their database in natural language.
• Retrieve Context: Vanna searches its stored knowledge for relevant database and schema information.
• Generate SQL: The selected context is provided to an LLM, which generates an SQL query.
• Execute and Display: Vanna runs the query on the connected database and returns results as tables, charts, or summaries.

How We Rated Vanna AI

We rated Vanna AI based on its natural language SQL capabilities, database and LLM support, customization options, ease of integration, security features, and pricing. We also considered its RAG training approach, deployment flexibility, and ability to generate tables and charts.