It is an AI-powered tool designed to provide actionable insights from databases by allowing users to ask questions in natural language, eliminating the need for extensive SQL expertise.
It is an AI-powered tool designed to provide actionable insights from databases by allowing users to ask questions in natural language, eliminating the need for extensive SQL expertise. Vanna AI enables users to interact with their databases more efficiently, saving time on writing SQL queries and focusing on generating insights. It automatically identifies relevant tables and columns across complex datasets, making it accessible for both non-experts and SQL professionals.
Vanna AI’s capabilities are driven by the training data provided by users, with more data leading to higher accuracy, especially for large and intricate datasets. The tool ensures data security by never sending database contents to external large language models (LLMs) unless explicitly enabled. Only metadata such as schemas, documentation, and queries are processed. As users interact with Vanna, the model continuously improves by augmenting its training data.
The Vanna Python package and its frontend integrations are open-source, allowing users to run the tool on their own infrastructure. It supports popular databases like Snowflake, BigQuery, and Postgres, with the flexibility to create custom connectors for other databases. Users can start using Vanna in a Jupyter Notebook and extend its functionality to business users via Slackbots, web apps, Streamlit apps, or other frontends. It can also be integrated into customer-facing web applications.
Vanna AI is designed for security, self-learning, and high accuracy on complex datasets. It offers enterprise customization and hosted components for large organizations with specific deployment needs. The core package is open
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