QueryWeaver — текст в SQL через граф схемы

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QueryWeaver is an open-source Text2SQL tool: it turns plain-language questions into SQL and returns both the query and the results, relying on graph-powered understanding of the database schema. Reach for it when you want to let non-technical staff or an agent ask the database in words and get correct SQL: understand the data structure and relationships between tables (via the schema graph) and assemble the right query from a question. It is available as a REST API and via MCP, and deploys in Docker. Its focus is generating SQL from a natural question grounded in a schema graph, not a full BI platform with dashboards and a semantic layer (WrenAI for that) or the database itself: the output is SQL and data. It is useful to embed in your own apps and agents that need reliable text-to-SQL over your database; quality depends on the connected LLM and an accurate schema description.