Get curated LLM-based text-to-SQL resources for next-gen database interfaces, ideal for startup founders, with 1.3k+ GitHub stars.
1,337 stars124 forksQuality 8/10Updated 7/3/2026100% free ยท open source
What it does
Awesome-LLM-based-Text2SQL provides a curated list of resources for building next-generation database interfaces using large language model-based text-to-SQL technology.
Install / run
Clone the repository using the command `git clone https://github.com/DEEP-PolyU/Awesome-LLM-based-Text2SQL.git`
When to use it
โขWhen building a natural language interface for a database application
โขWhen researching text-to-SQL technologies for a startup project
โขWhen looking for open-source projects and benchmarks for LLM-based text-to-SQL
Quick start
1Explore the curated list of resources in the README file
2Check out the surveys and papers section for an overview of the technology
3Browse the open-source projects section for implementation examples
4Look at the benchmarks section for performance comparison of different models
5Use the provided resources to plan and implement a text-to-SQL interface for your startup's database application
Ready-to-paste prompt
To get started with building a text-to-SQL interface, explore the [TKDE2025] survey paper in the README for an overview of the technology and its applications.
Heads up: Note that this repository is a curated list of resources and does not provide a direct implementation of LLM-based text-to-SQL, so users will need to explore the linked resources and projects to find a suitable implementation for their use case.
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Topics
awesome
awesome-text-to-sql
awesome-text2sql
database
large-language-models
llms
natual-language-processing
natural-language-understanding
nl2sql
survey
text-to-sql
text2sql
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