Vanna Frequently Asked Questions

Vanna Frequently Asked Questions. 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.

FAQ from Vanna: Your AI Business Intelligence Assistant

What is Vanna: Your AI Business Intelligence Assistant?

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.

How to use Vanna: Your AI Business Intelligence Assistant?

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.

What databases does Vanna support?

Vanna supports databases such as Snowflake, BigQuery, Athena, and Postgres. It can also be easily connected to other databases.

How does Vanna ensure high accuracy in SQL generation?

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.

Can I use Vanna with my own database and schema?

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.

Does Vanna continuously improve over time?

Yes, as you use Vanna more, its model continuously learns from your training data, resulting in improved SQL generation over time.

What are some use cases for Vanna?

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.