Vanna.AI

What is Vanna.AI?

Vanna.AI is a versatile AI-powered platform designed to simplify interaction with SQL databases by translating natural language questions into precise SQL queries. It leverages retrieval-augmented generation (RAG) to train models on your specific database schemas and documentation, enabling highly accurate query generation without exposing sensitive data. Supporting a wide range of SQL and vector databases, Vanna.AI integrates easily with various front-end interfaces and large language models (LLMs), offering a secure, self-learning, and customizable environment for data exploration and business intelligence.

Key Features

• Accurate SQL Generation with RAG

  Trains on your database schema and documentation to generate precise SQL queries from natural language inputs, improving accuracy with more training data.

• Wide Database Compatibility

  Supports numerous SQL databases including PostgreSQL, MySQL, Oracle, SQL Server, BigQuery, and vector databases for flexible data management.

• Secure Local Query Execution

  Executes SQL queries locally without sending database contents to external LLMs or vector stores, ensuring data privacy and security.

• Self-Learning and Feedback Loop

  Automatically improves query accuracy over time by learning from successfully executed queries and user feedback.

• Flexible Front-End Integration

  Compatible with multiple user interfaces such as Jupyter Notebooks, Slack, Flask, Streamlit, or custom front ends for diverse user needs.

• Enterprise-Grade Security and Governance

  Maintains strict access controls and integrates with enterprise authentication systems, preserving existing database permissions and compliance requirements.

Use Cases

• Business Intelligence and Analytics : Enables business users to perform self-service data exploration and generate insights without SQL expertise.
• Data Access Democratization : Allows non-technical users to query complex databases in natural language, reducing dependency on data teams.
• Enterprise Data Security Compliance : Supports deployment within private infrastructure to maintain data sovereignty and comply with strict regulatory standards.
• Automated SQL Query Generation : Accelerates report generation and data retrieval by automatically converting user questions into executable SQL.
• Integration with Cloud Platforms : Seamlessly connects with cloud data warehouses like Google BigQuery, preserving native security and access controls.

FAQs