liunian-Jay/Awesome-RAG
💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology.
- Stars
- 520
- Forks
- 26
- Open issues
- 3
- Last push
- 2mo ago
About Awesome-RAG
Awesome-RAG is a free, open-source AI resource list by liunian-Jay. 💡 Awesome RAG: A resource of Retrieval-Augmented Generation (RAG) for LLMs, focusing on the development of technology. It has 520 GitHub stars and 26 forks, and was last updated 2mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- –
- Stars
- 520
- 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-RAG FAQ
Is Awesome-RAG free?
Yes. Awesome-RAG is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does Awesome-RAG run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does Awesome-RAG need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is Awesome-RAG still maintained?
It was last updated 2mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to Awesome-RAG?
Similar free, open-source tools include Prompt-Engineering-Guide, KG-LLM-Papers, tiny-llm, anomaly-detection-resources.