AI Directory : AI Code Assistant, AI SQL Query Builder
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.
Vanna: Your AI Business Intelligence Assistant's Core Features
AI-powered SQL generation
Support for Snowflake, BigQuery, Athena, Postgres, and more
Customizable training model for database-specific queries
Self-learning capability to improve accuracy over time
Secure and private handling of database contents
Integration with Jupyter Notebook, Slackbot, web apps, and more
Vanna: Your AI Business Intelligence Assistant's Use Cases
Quickly generate complex SQL queries for large and complex datasets
Get high accuracy rates on SQL queries by providing sufficient training data
Enable business users to obtain insights from databases by asking questions
Customize Vanna for specific databases and schemas
Integrate Vanna into web apps or customer-facing platforms to provide SQL generation functionality
Vanna: Your AI Business Intelligence Assistant Discord
Here is the Vanna: Your AI Business Intelligence Assistant Discord: https://discord.gg/qUZYKHremx. For more Discord message, please click here(/discord/quzykhremx).
Vanna: Your AI Business Intelligence Assistant Support Email & Customer service contact & Refund contact etc.
Here is the Vanna: Your AI Business Intelligence Assistant support email for customer service: [email protected] .
Vanna: Your AI Business Intelligence Assistant Company
Vanna: Your AI Business Intelligence Assistant Company name: Vanna.AI .
Vanna: Your AI Business Intelligence Assistant Sign up
Vanna: Your AI Business Intelligence Assistant Sign up Link: https://vanna.ai/account/profile
Vanna: Your AI Business Intelligence Assistant Linkedin
Vanna: Your AI Business Intelligence Assistant Linkedin Link: https://www.linkedin.com/company/vanna-ai/
Vanna: Your AI Business Intelligence Assistant Github
Vanna: Your AI Business Intelligence Assistant Github Link: https://github.com/vanna-ai/vanna
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.