Vanna takes a developer-first approach to text-to-SQL that stands apart from the hosted, consumer-facing tools elsewhere in this category: it's an open-source framework, installed with a single pip command, using retrieval-augmented generation trained on a specific organization's schema and query history to improve accuracy over time rather than starting from a generic, ungrounded model.
That RAG-based, self-hostable design targets engineering teams building natural-language query access into their own products or internal tools, with support for multiple LLM providers, Anthropic, OpenAI, Gemini, and local models through Ollama, and multiple databases, PostgreSQL, MySQL, Snowflake, BigQuery, and more, rather than locking a team into one specific model or database vendor.
Vanna is free and open source for self-hosted use, with a managed cloud option available. For an engineering team that wants full control over deployment, model choice, and database connections, with the explicit ability to avoid vendor lock-in, Vanna's open-source, RAG-based framework is built for that level of control rather than a fixed, hosted product.
