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 tex
- Stars
- 1.4k
- Forks
- 130
- Open issues
- 0
- Last push
- 2mo ago
About Awesome-LLM-based-Text2SQL
Awesome-LLM-based-Text2SQL is a free, open-source AI resource list by DEEP-PolyU. [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 tex. It has 1.4k GitHub stars and 130 forks, and was last updated 2mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- –
- Stars
- 1,377
- Last update
- 2mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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Awesome-LLM-based-Text2SQL FAQ
Is Awesome-LLM-based-Text2SQL free?
Yes. Awesome-LLM-based-Text2SQL is open source and free to use. It's released under the MIT license, a standard open-source license.
Does Awesome-LLM-based-Text2SQL run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-LLM-based-Text2SQL need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-LLM-based-Text2SQL still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Awesome-LLM-based-Text2SQL?
Similar free, open-source tools include KG-LLM-Papers, LLM-eval-survey, KnowledgeEditingPapers, LLM_MultiAgents_Survey_Papers.