Vanna AI
Why Choose Vanna AI?
You should pick this if writing SQL queries feels like a pain. It turns your natural language questions into complex SQL in seconds, works with tons of databases, and fits right into your Python workflows. Whether you’re in Jupyter or Slack, it makes data querying way easier and faster.
Vanna.AI is an AI SQL agent that writes SQL from natural language queries.
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Vanna AI Introduction
What is Vanna AI?
Vanna is a Python-based AI SQL agent trained on your schema that writes complex SQL in seconds. You can use it in Jupyter, Slack, Streamlit, and anywhere else Python is used. Vanna.AI offers personalized AI SQL agent solutions, including Vanna Cloud, Vanna Self-Hosted Enterprise, Vanna Embedded, and Vanna OSS.
How to use Vanna AI?
You can use Vanna.AI by asking questions about your database in natural language. Vanna will then generate the SQL query for you. It can be integrated into Jupyter Notebooks, Slackbots, web apps, Streamlit apps, and other frontends.
Why Choose Vanna AI?
You should pick this if writing SQL queries feels like a pain. It turns your natural language questions into complex SQL in seconds, works with tons of databases, and fits right into your Python workflows. Whether you’re in Jupyter or Slack, it makes data querying way easier and faster.
Vanna AI Features
AI Developer Tools
- ✓AI-powered SQL generation from natural language
- ✓Integration with various databases (Snowflake, BigQuery, Postgres, etc.)
- ✓Customizable and self-learning model
- ✓Open-source Python package and frontend integrations
- ✓Enterprise-grade solutions for data retrieval and analysis
FAQ?
Pricing
Pricing information not available
About Vanna AI
What Is Vanna AI?
Vanna is a Python-based AI SQL agent trained on your schema that writes complex SQL in seconds. You can use it in Jupyter, Slack, Streamlit, and anywhere else Python is used. Vanna.AI offers personalized AI SQL agent solutions, including Vanna Cloud, Vanna Self-Hosted Enterprise, Vanna Embedded, and Vanna OSS.
Key Features
- AI-powered SQL generation from natural language
- Integration with various databases (Snowflake, BigQuery, Postgres, etc.)
- Customizable and self-learning model
- Open-source Python package and frontend integrations
- Enterprise-grade solutions for data retrieval and analysis
Best For
- Teams evaluating AI Developer Tools solutions
- AI Agent workflows
- AI Developer Tools workflows