ArpanMoharana/Semantic-Vector-RAG-QA-System

This repository presents a local **Retrieval-Augmented Generation (RAG) Question Answering system** built using LangChain, ChromaDB, HuggingFace embeddings, and Ollama (Mistral). In addition, it includes a lightweight evaluation framework to assess retrieval quality using standard metrics such as Hit@K and Mean Reciprocal Rank (MRR).

15
/ 100
Experimental
No Package No Dependents
Maintenance 6 / 25
Adoption 0 / 25
Maturity 9 / 25
Community 0 / 25

How are scores calculated?

Stars

Forks

Language

Python

License

MIT

Category

rag-applications

Last pushed

Dec 26, 2025

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/llm-tools/ArpanMoharana/Semantic-Vector-RAG-QA-System"

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