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Vanna AI

Open-source Python AI agent for writing SQL queries.

Reviewed by Editorial Board • Fact-Checked: 2026 Standards • Testing Status: Verified & Tested

Quick Keypoints

  • Translates natural language questions into valid SQL code.
  • Trains on database schemas, metadata, and past SQL runs.
  • Integrates with Jupyter Notebooks, Slack, and web apps.
  • Offers an open-source framework for database developers.

What is Vanna AI?

Open-source Python AI agent for writing SQL queries.

Vanna AI is an open-source SQL generation agent that trains on database schemas to write database queries.

Who Needs Vanna AI?

Database administrators, Python developers, and data teams.

Primary Use Cases

  • Streamlining team workflows, task assignments, and calendar scheduling.
  • Summarizing long documents, meetings, and research papers.
  • Analyzing data and tracking project progress metrics.

Important Features

  • SQL Generation: Converts user questions into complex SQL queries.
  • Schema Training: Learns database layouts to improve generation accuracy.
  • Developer SDK: Integrate SQL generation into custom dashboards.

Current Updates About Vanna AI

  • Released Vanna 2.0 with User-Aware Agent Framework, modern web UI components, and production-ready FastAPI/Flask integration.
  • Current Version: v2.0

Alternatives to Vanna AI

If you want to check similar software, these alternative tools offer comparative features:

Pricing Plans

Plan Price
Community (Open Source)Self-hosted MIT-licensed framework; users manage LLM API costs. Free
Cloud FreeFree for personal use with daily rate limits on managed platform. $0
Cloud ExplorerBasic cloud scaling and collaboration features for small teams. $25/mo
Cloud TeamHigher capacity, collaboration tools, and dedicated cloud-managed resources. $500/mo
EnterpriseOn-premise, VPC, private cloud deployments with dedicated support and SLAs. Custom

Editorial Verification

Independent Testing

This review was audited under our 5-Pillar Testing Framework: Output Quality, UI/UX Ease, Pricing Transparency, Feature Depth, and Support.

Read Our Review Methodology →

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