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
01Text2SQL conversion via natural language
02Graph-powered database schema understanding
03REST API for managing graphs and queries
04Optional Model Context Protocol (MCP) server support
05Support for Azure OpenAI and OpenAI directly
0637 GitHub stars
Casos de Uso
01Enabling non-technical users to query databases with natural language
02Integrating Text2SQL capabilities into custom applications via a REST API
03Automating database querying and reporting through scripting
