QueryWeaver
Transforms natural language questions into SQL queries using graph-powered schema understanding.
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QueryWeaver is an open-source Text2SQL tool designed to simplify database interaction by allowing users to query their databases using plain English. It leverages advanced graph-powered schema understanding to accurately convert natural language questions into executable SQL, and returns both the generated SQL and the results. The tool provides a REST API, supports the Model Context Protocol (MCP), and offers flexible deployment options including Docker and local development.
Características Principales
- Text2SQL conversion via natural language
- Graph-powered database schema understanding
- REST API for managing graphs and queries
- Optional Model Context Protocol (MCP) server support
- Support for Azure OpenAI and OpenAI directly
- 37 GitHub stars
Casos de Uso
- Enabling non-technical users to query databases with natural language
- Integrating Text2SQL capabilities into custom applications via a REST API
- Automating database querying and reporting through scripting
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