What is Vanna AI
Vanna AI is an open source framework designed to build production-ready SQL agents. The core idea is to let users without deep SQL knowledge interact with company databases using natural language. This significantly reduces the time data analysts and engineers spend writing queries and makes data accessible to everyone in the organization.
Key Features
Vanna supports a wide range of LLM providers including Anthropic, OpenAI, Gemini, and local Ollama. It works with most popular databases: SQLite, PostgreSQL, MySQL, Snowflake, BigQuery, and many others. The framework offers multi-turn conversations, user-scoped execution, rich UI components, and access control.
For production use, optional hosted admin features are available: access control, real-time observability and distributed tracing, hosted vector database for agent memory, secure file storage, comprehensive audit logs, and long-term data retention. This enables building multi-tenant agents with no vendor lock-in.
Getting Started
Installation takes just one minute with pip install vanna. Users can try it instantly in Google Colab without signing in. Vanna provides copy-paste configuration code for any chosen LLM + Database combination.
Advantages and Use Cases
Vanna is perfect for internal BI systems, self-service analytics, building data chatbots, and embedding into existing enterprise applications. Strengths include open source nature, flexibility in model choice, built-in security, and focus on production readiness. A potential drawback is the need to train the model on company-specific data to achieve high accuracy.
As noted by Brian Spindolini, Senior Product Manager at Azure SQL Database, Vanna allows spending less time writing SQL and more time generating insights from data.
