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Awesome-LLM-based-Text2SQL: Next-Gen DB Interface

Get curated LLM-based text-to-SQL resources for next-gen database interfaces, ideal for startup founders, with 1.3k+ GitHub stars.
1,347 stars125 forksHealth Score 8/10Updated 7/20/2026100% free · 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
  • When building a natural language interface for a database application
  • When researching text-to-SQL technologies for a startup project
  • When looking for open-source projects and benchmarks for LLM-based text-to-SQL
Quick start
  1. 1Explore the curated list of resources in the README file
  2. 2Check out the surveys and papers section for an overview of the technology
  3. 3Browse the open-source projects section for implementation examples
  4. 4Look at the benchmarks section for performance comparison of different models
  5. 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
How Awesome-LLM-based-Text2SQL: Next-Gen DB Interface works
Codeflow
Free to inspect

Awesome-LLM-based-Text2SQL: Next-Gen DB Interface is a documents-only repository (1 doc file) — something you read, not something you run. There is nothing to install. Last commit a month ago, MIT license.

Size
Documents only
1 document · 8 min skim
Setup
Nothing to install
A guide / curated list. Just read it and follow the links.
Runs on
Nowhere — you read it
A reading resource, not a program.
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
What's in each folder
figures/Folder2 files
READMEMIT licenseUpdated this month
Quick Actions
Details
Creator
DEEP-PolyU
Category
ai-agent
Published
9/13/2025

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