DocAILab/XRAG
XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation
- Stars
- 549
- Forks
- 17
- Open issues
- 1
- Last push
- 3d ago
About XRAG
XRAG is a free, open-source RAG and AI search tool by DocAILab, written mainly in Python. XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation. It has 549 GitHub stars and 17 forks, and was last updated 3d ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Python
- Stars
- 549
- Last update
- 3d ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not required
- Self-hostable
- Not stated
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XRAG FAQ
Is XRAG free?
Yes. XRAG is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does XRAG run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does XRAG need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is XRAG still maintained?
Yes. It was last updated 3d ago and has 1 open issues on GitHub.
What are alternatives to XRAG?
Similar free, open-source tools include ragflow, PageIndex, agentic-rag-for-dummies, onyx.