ZhongUncle/RAG-from-Scratch

Implement RAG (Retrieval-Augmented Generation) in Ollama from zero. Step by step. A weekend project.

/ 100

Experimental

No License No Package No Dependents

Maintenance 10 / 25

Adoption 1 / 25

Maturity 1 / 25

Community 0 / 25

Stars

Forks

—

Language

Jupyter Notebook

License

—

Category

Last pushed

Feb 27, 2026

Commits (30d)

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/ZhongUncle/RAG-from-Scratch"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.

Higher-rated alternatives

LongxingTan/open-retrievals

All-in-One: Text Embedding, Retrieval, Reranking and RAG in Transformers

axiom-llc/axiom-rag

Production RAG pipeline — grounded retrieval, source-cited answers, Precision@k + MRR eval. CLI...

ereztdev/RAGOps

AI powered troubleshooting for ground support equipment. Deterministic RAG pipeline that ingests...

AdnanSattar/Spatial-RAG

A production-ready full-stack system that combines semantic search with spatial proximity to...

KazKozDev/production-rag

Production-quality Retrieval-Augmented Generation with multi-strategy retrieval and...