xiyue188/RAG
DeepBlue Brain：一个面向 RAG 全链路教学与理解的白盒化交互平台，支持各类文档上传、混合检索、实时检索日志流、提示词原文溯源与流式问答。
- Stars
- 58
- Forks
- 11
- Open issues
- 0
- Last push
- 13d ago
RAG star history
+0 this week
About RAG
RAG is a free, open-source RAG and AI search tool by xiyue188, written mainly in Python. DeepBlue Brain：一个面向 RAG 全链路教学与理解的白盒化交互平台，支持各类文档上传、混合检索、实时检索日志流、提示词原文溯源与流式问答。. It has 58 GitHub stars and 11 forks, and was last updated 13d ago. It's released under the MIT license, a standard open-source license. According to the project, it works on macOS.
- License
- MIT
- Commercial use
- Commercial OK
- Language
- Python
- Stars
- 58
- Last update
- 13d ago
- Runs on Mac
- Yes (as stated by the project)
- GPU
- Not stated
- Paid API key
- Required
- Self-hostable
- Yes
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RAG FAQ
Can I use RAG commercially?
Yes. MIT is a permissive license: commercial use is allowed as long as you keep the license notice. This is a plain-English summary, not legal advice.
Is RAG free?
RAG is open source, but it needs a paid third-party API key to work. It's released under the MIT license, a standard open-source license.
Does RAG run on a Mac?
Yes. According to the project, RAG works on macOS.
Does RAG need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is RAG still maintained?
Yes. It was last updated 13d ago and has 0 open issues on GitHub.
What are alternatives to RAG?
Similar free, open-source tools include ragflow, agentic-rag-for-dummies, storm, Langchain-Chatchat.
Maintain RAG?
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