QueryWeaver
Text2SQL tool that transforms natural language into SQL
QueryWeaver is a text-to-SQL system that combines FastAPI with graph-powered schema understanding using FalkorDB to enable natural language database querying. The implementation features PostgreSQL and MySQL schema loaders that extract database structures into graph representations with vector embeddings, multi-agent query processing pipeline with analysis, relevancy checking, and response formatting agents, and OAuth-based authentication with API token management. Built with a modular architecture supporting both web interface and MCP protocol integration, it enables use cases like business intelligence queries, database exploration, and automated report generation by translating conversational questions into accurate SQL queries while maintaining context across query sessions.
Source
Repository: https://github.com/falkordb/queryweaver
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