NovaSearch-Team/RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
- Stars
- 1.1k
- Forks
- 88
- Open issues
- 1
- Last push
- 1mo ago
About RAG-Retrieval
RAG-Retrieval is a free, open-source RAG and AI search tool by NovaSearch-Team, written mainly in Python. Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker. It has 1.1k GitHub stars and 88 forks, and was last updated 1mo ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Language
- Python
- Stars
- 1,136
- Last update
- 1mo ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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RAG-Retrieval FAQ
Is RAG-Retrieval free?
Yes. RAG-Retrieval is open source and free to use. It's released under the MIT license, a standard open-source license.
Does RAG-Retrieval run on a Mac?
Yes. According to the project, RAG-Retrieval works on macOS.
Does RAG-Retrieval need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is RAG-Retrieval still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to RAG-Retrieval?
Similar free, open-source tools include ragflow, PageIndex, onyx, LightRAG.