Awesome-LLM-based-Text2SQL and Awesome-Text2SQL
Both are curated resource repositories covering overlapping domains (LLM-based Text-to-SQL), making them **complements** rather than competitors—a developer would likely consult both to access different survey papers, benchmarks, and open-source implementations across their combined collections.
About Awesome-LLM-based-Text2SQL
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.
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.
About Awesome-Text2SQL
eosphoros-ai/Awesome-Text2SQL
Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
This project compiles tutorials and resources for converting natural language questions into database queries. It helps data analysts, business intelligence specialists, and anyone needing to extract specific information from databases without writing complex code. You provide a question in plain English, and the system generates the corresponding SQL query to get your answer.
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