Vanna AI
What is Vanna AI?
Vanna AI is an open-source and cloud-based framework for building AI agents that connect language models to databases. It converts natural-language questions into SQL and can support charts, tool execution, and other custom functions. Its agentic retrieval and Tool Memory use successful queries and tool patterns to improve future responses without repeated manual training. Vanna targets developers, data teams, and organizations that want conversational analytics embedded in internal applications or workflows. Version 2.0 emphasizes user-scoped permissions, lifecycle controls, rich UI components, and deployment options ranging from self-hosting to enterprise environments.
How to use Vanna AI?
1. Choose Vanna Cloud or install the open-source framework and connect an approved language model, database, and optional vector store. 2. Configure your agent, tools, authentication, and user permissions, then provide schema or successful interaction context as needed. 3. Ask a natural-language data question and review the generated SQL, result, chart, or custom tool response.
Vanna AI's Core Features
Natural-Language SQL Generation: Convert user questions into database queries that can be reviewed and executed.
Agentic Retrieval: Search relevant query examples and tool usage patterns to improve responses to similar questions.
Tool Memory: Save successful interactions so the agent can adapt to database schemas, business logic, and recurring workflows.
User-Scoped Permissions: Apply user-specific access controls throughout the agent and query execution process.
Custom Tool Execution: Give agents the ability to run SQL, generate charts, or call application-specific functions.
Rich UI Components: Build interfaces that present text answers, query results, charts, and other response types.
Lifecycle Hooks: Add quota checks, logging, filtering, and other controls at key points in the request lifecycle.
LLM Middleware: Add caching, prompt engineering, and cost tracking around language-model calls.
Deployment Flexibility: Run the open-source framework yourself or move to managed cloud and enterprise deployment options.
API Access: Connect Vanna-powered data agents to applications and workflows through an available API.
Vanna AI's Use Cases
- #1
Developers building a natural-language analytics interface for PostgreSQL, Snowflake, BigQuery, or other SQL databases
- #2
Data teams allowing business users to explore metrics without writing SQL manually
- #3
Companies embedding permission-aware database questions into an internal application or customer portal
- #4
Analysts generating SQL and charts from conversational questions about sales, finance, operations, or product data
- #5
Engineering teams creating multi-agent workflows that route questions across different databases
- #6
Organizations self-hosting an AI data assistant in a private cloud, VPC, or on-premises environment
Frequently Asked Questions
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