pguso/rag-from-scratch
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
- Stars
- 1.6k
- Forks
- 198
- Open issues
- 0
- Last push
- 7mo ago
About rag-from-scratch
rag-from-scratch is a free, open-source RAG and AI search tool by pguso, written mainly in JavaScript. Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation. It has 1.6k GitHub stars and 198 forks, and was last updated 7mo ago. It's released under the MIT license, a standard open-source license.
- License
- MIT
- Language
- JavaScript
- Stars
- 1,646
- Last update
- 7mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Not stated
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rag-from-scratch FAQ
Is rag-from-scratch free?
Yes. rag-from-scratch is open source and free to use. It's released under the MIT license, a standard open-source license.
Does rag-from-scratch run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does rag-from-scratch need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is rag-from-scratch still maintained?
It was last updated 7mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to rag-from-scratch?
Similar free, open-source tools include ragflow, OpenViking, PageIndex, WeKnora.