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DEEP-PolyU/Awesome-GraphRAG

Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation.

MIT
Stars
2.7k
Forks
238
Open issues
2
Last push
4mo ago

About Awesome-GraphRAG

Awesome-GraphRAG is a free, open-source AI resource list by DEEP-PolyU. Awesome-GraphRAG: A curated list of resources (surveys, papers, benchmarks, and opensource projects) on graph-based retrieval-augmented generation. It has 2.7k GitHub stars and 238 forks, and was last updated 4mo ago. It's released under the MIT license, a standard open-source license.

License
MIT
Language
–
Stars
2,679
Last update
4mo ago
Runs on Mac
Not stated
GPU
Not stated
Paid API key
Not stated
Self-hostable
Not stated

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Awesome-GraphRAG FAQ

Is Awesome-GraphRAG free?

Yes. Awesome-GraphRAG is open source and free to use. It's released under the MIT license, a standard open-source license.

Does Awesome-GraphRAG run on a Mac?

The project doesn't say. Check its installation guide before you start.

Does Awesome-GraphRAG need a GPU?

The project doesn't state hardware needs. AI models generally run much faster with a GPU.

Is Awesome-GraphRAG still maintained?

It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.

What are alternatives to Awesome-GraphRAG?

Similar free, open-source tools include Prompt-Engineering-Guide, KG-LLM-Papers, KnowledgeEditingPapers, LLM-eval-survey.

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