Project Title

vanna — Chat with your SQL database using AI-powered Text-to-SQL Generation

Overview

Vanna is an open-source Python framework that enables users to interact with SQL databases through natural language queries. It leverages Retrieval-Augmented Generation (RAG) models to generate accurate SQL queries from text inputs, making it easier for developers to extract insights from databases without writing complex SQL code.

Key Features

RAG-based text-to-SQL generation
Supports various Large Language Models (LLMs) and VectorStores
User-friendly interfaces for different platforms (Jupyter Notebook, Streamlit, Flask, Slack)
Extensive support for multiple databases and vector stores

Use Cases

Data analysts querying databases without SQL expertise
Developers integrating database querying into applications through natural language
Enterprises automating data extraction and analysis processes

Advantages

Simplifies database interaction through natural language queries
Reduces the need for manual SQL query writing
Supports a wide range of databases and vector stores, enhancing flexibility

Limitations / Considerations

Requires training on specific datasets for optimal performance
May have limitations with highly complex or domain-specific queries
Performance may vary depending on the chosen LLM and VectorStore

DBConvert: A tool for converting databases, but not focused on natural language querying.
SQLAlchemy: A SQL toolkit and Object-Relational Mapping (ORM) system for Python, which doesn't provide natural language querying capabilities.
Chata.ai: Another AI-driven platform for querying databases through natural language, but with a different approach and feature set.

Basic Information

GitHub: vanna-ai/vanna
Stars: 20,308
License: MIT
Last Commit: 2025-09-10

📊 Project Information

Project Name: vanna
GitHub URL: https://github.com/vanna-ai/vanna
Programming Language: Python
⭐ Stars: 20,308
🍴 Forks: 1,875
📅 Created: 2023-05-13
🔄 Last Updated: 2025-09-10

🏷️ Project Topics

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