DEEP-PolyU/Awesome-LLM-based-Text2SQL

[TKDE2025] Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL | A curated list of resources (surveys, papers, benchmarks, and opensource projects) on large language model-based text-to-SQL.

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This collection helps data professionals understand how to use large language models (LLMs) to automatically translate natural language questions into SQL database queries. It provides a curated list of research papers, benchmarks, and open-source tools. Data analysts, database administrators, and researchers can use this resource to stay informed about the latest advancements in making databases more accessible through conversational AI.

1,282 stars. Actively maintained with 5 commits in the last 30 days.

Use this if you are a data professional or researcher looking for a comprehensive overview of current methods and tools for converting human language questions into executable SQL queries using large language models.

Not ideal if you are looking for a ready-to-use software solution or a tutorial on how to implement a text-to-SQL system, as this is primarily a curated list of academic and project resources.

database-querying natural-language-processing data-analysis LLM-applications database-interfaces
No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 15 / 25
Community 18 / 25

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MIT

Last pushed

Mar 06, 2026

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