

Vanna is a powerful AI-driven Python package designed to generate SQL for databases including Snowflake, BigQuery, Athena, and Postgres. It serves as an efficient business intelligence assistant by quickly crafting intricate SQL queries based on your database schema.
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For customer service, reach out via email: [email protected] .
The company behind Vanna: Vanna.AI.
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Check out our GitHub repository: https://github.com/vanna-ai/vanna
Vanna is an AI-powered Python package that helps generate SQL for databases such as Snowflake, BigQuery, Athena, and Postgres. It acts as a business intelligence assistant by quickly generating complex SQL queries based on your schema.
To use Vanna, install the Python package 'vanna' and set up an API key. Then, specify the database model you want to train Vanna on and ask queries using the 'ask' function. Vanna will generate SQL queries for you in seconds.
Vanna supports databases such as Snowflake, BigQuery, Athena, and Postgres. It can also be easily connected to other databases.
Vanna's accuracy depends on the training data provided. By giving more training data, especially for large and complex datasets, Vanna can achieve higher accuracy rates.
Yes, Vanna allows you to train a custom model specific to your database and schema. It ensures privacy by not sharing the model or its training data unless you choose to.
Yes, as you use Vanna more, its model continuously learns from your training data, resulting in improved SQL generation over time.
Vanna can be used to quickly generate complex SQL queries, achieve high accuracy rates on SQL queries, enable business users to obtain database insights, customize SQL generation for specific databases, and integrate SQL generation into web apps or customer-facing platforms.