Improve Text-to-SQL Accuracy with LLM

In plain words

This is an open-source project for improving text-to-SQL accuracy using large language models. It helps developers and data analysts convert natural language queries into SQL commands more reliably. The tool addresses the common problem of LLM errors when generating database queries, making it useful for anyone building natural language interfaces to databases or automating SQL generation workflows.

written from the facts on this page · September 2026

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