Vanna AI

Open-source text-to-SQL agent with RAG, multi-LLM, and multi-database support

Enterprise

Early listing. Vanna AI is a newer tool with limited third-party reviews, so it has no grade yet. We've confirmed the site is live; details below come from the vendor's own site. Know this tool? Claim the listing to add pricing, features and screenshots.

💬 What is Vanna AI?

Vanna AI is an open-source text-to-SQL framework that uses retrieval-augmented generation to convert natural-language questions into database queries. It is built for data teams, analytics engineers, and product builders who want non-technical users to self-serve answers from company data while keeping schema context and SQL logic governed. Vanna supports any LLM backend (Anthropic, OpenAI, Gemini, Ollama) and any database (Snowflake, BigQuery, PostgreSQL, MySQL, SQLite, and others), so teams aren't locked into a specific stack. It distinguishes itself with a self-hostable open-source core (pip install vanna) and an optional Cloud tier that adds user-scoped execution, access control, observability, audit logs, and a hosted vector store for agent memory.

Who it's for

Best for: Data and analytics teams (5–50+ people) who need to expose governed natural-language querying over company databases

Let non-technical stakeholders self-serve data insights from a data warehouse
Build internal data Q&A chatbots for business teams
Accelerate SQL authoring for analysts and data scientists
Embed natural-language-to-SQL into product features

Pros & cons

Pros

Open source with no vendor lock-in
Broad compatibility across LLM providers and database engines
Self-hostable option for data security and compliance
Optional Cloud tier adds enterprise governance (access control, audit logs, observability)

Cons

Cloud and Enterprise pricing details are not transparently listed on the public site
Query accuracy still depends on the chosen LLM, schema quality, and RAG training data

Key features

Natural-language to SQL generation using retrieval-augmented generation
Pluggable LLM backends: Anthropic, OpenAI, Gemini, Ollama
Pluggable databases: Snowflake, BigQuery, PostgreSQL, MySQL, SQLite, and others
Self-hostable open-source core installable via pip
Optional Cloud tier with user-scoped execution and access control
Observability with real-time metrics and distributed tracing
Hosted vector database for agent memory and learning
Secure file storage and retrieval

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Frequently asked

Which databases and LLMs does Vanna support?

Vanna works with any LLM provider (Anthropic, OpenAI, Gemini, Ollama, etc.) and any database, with first-class support listed for Snowflake, BigQuery, PostgreSQL, MySQL, and SQLite.

Can Vanna be self-hosted?

Yes. Vanna Core is open source and can be self-hosted via pip. The Vanna Cloud tier is optional and adds managed governance, observability, and storage features.

Does Vanna require sending data to an external service?

No. The open-source framework runs locally, so schema and queries stay within your environment when self-hosted.