HKUSTDial/NL2SQL_Handbook

This is a continuously updated handbook for readers to easily track the latest Text-to-SQL techniques in the literature and provide practical guidance for researchers and practitioners.

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Emerging

This handbook helps database researchers and practitioners understand the latest advancements in converting natural language questions into SQL queries. It provides comprehensive surveys, in-depth research papers, and benchmark evaluations on Text-to-SQL techniques, especially those leveraging large language models. The intended user is a researcher or practitioner in data management or artificial intelligence looking to build or improve systems that allow non-technical users to query databases using plain English.

1,361 stars. Actively maintained with 2 commits in the last 30 days.

Use this if you are researching or developing systems that automatically translate spoken or written questions into database queries to make data more accessible.

Not ideal if you are a business user looking for a ready-to-use tool to query your database with natural language; this is a resource for those building such tools.

natural-language-processing database-management text-to-sql large-language-models data-querying
No License No Package No Dependents
Maintenance 13 / 25
Adoption 10 / 25
Maturity 8 / 25
Community 16 / 25

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Stars

1,361

Forks

81

Language

Python

License

Last pushed

Mar 03, 2026

Commits (30d)

2

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