ahmet-ozel/rag-master-class

Classical RAG & Agentic RAG demo with ChromaDB, OpenAI, Gemini, Claude, Ollama, and vLLM. Document chunking, vector search, autonomous tool selection, and RAG evaluation metrics.

22
/ 100
Experimental
No Package No Dependents
Maintenance 13 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Python

License

MIT

Last pushed

Mar 12, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/ahmet-ozel/rag-master-class"

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