Vanna AI

Vanna AI is an open-source Python RAG framework that turns plain-English questions into ready-to-run SQL. By retrieving your schema, docs, and past queries as context, it lets anyone chat with databases—no SQL skills required—so teams get insights faster and analysts spend less time writing queries.

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text to SQLNL2SQLnatural language to SQLRAG frameworkSQL generatorAI data assistantchat with databaseopen-source AI agent

Features of Vanna AI

Retrieval-augmented generation turns plain English into executable SQL

Plugs into SQLite, PostgreSQL, MySQL, Snowflake, BigQuery and more

Swap LLM providers—OpenAI, Anthropic, Gemini, Ollama, etc.—with one config

Multi-turn chat: refine questions, join tables, filter results conversationally

Train your own model on private schema & queries for bespoke accuracy

Deploy anywhere: pip install, Docker, cloud SaaS, or fully on-prem

Python package + ready-made UI for instant integration and white-labeling

Auto-charting: query results render as tables, bars, lines, or pies on the fly

Use Cases of Vanna AI

Analysts ask “show me weekly churn” and get live KPIs without writing SQL

Non-technical staff self-serve company data in plain language

Developers prototype data features in minutes instead of hours

Data teams embed a chat-style Q&A widget inside BI portals

Companies expose natural-language access to existing warehouses

Professors demo modern Text-to-SQL techniques in classrooms

BI workflows pipe Vanna’s SQL into downstream dashboards

FAQ about Vanna AI

QWhat is Vanna AI?

It’s an open-source Python RAG framework that translates natural-language questions into executable SQL so you can talk to your database instead of coding queries.

QWhich databases does Vanna support?

SQLite, PostgreSQL, MySQL, Snowflake, BigQuery and other mainstream relational engines.

QDo I need to know SQL to use Vanna?

No—ask in everyday language; Vanna writes the SQL for you.

QIs Vanna AI free?

The core framework is MIT-licensed and free. Optional cloud hosting and enterprise features are priced separately.

QHow accurate and secure is the generated SQL?

RAG injects your schema, docs, and prior queries for context, boosting accuracy. Enterprise deployments add role-based access, audit logs, and VPC isolation.

QCan I run Vanna on-prem?

Yes—pip install, Docker, or source code for private cloud or air-gapped environments.

QHow is Vanna different from asking a raw LLM for SQL?

Vanna retrieves your specific metadata and past queries first, then generates SQL—far more accurate than a generic prompt.

QWho should use Vanna?

Data analysts, business users, developers, and any team that wants faster, self-service access to databases without SQL bottlenecks.

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