SCCSMARTCODE/rag-mastery
🧠A hands-on lab for mastering Retrieval-Augmented Generation (RAG), from hybrid retrieval and reranking to contextual generation and evaluation. Includes practical implementations of vector search, BM25, hybrid fusion, rerankers, chunking strategies, and end-to-end pipelines with OpenAI, Hugging Face, and Weaviate.
Stars
—
Forks
—
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 15, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/SCCSMARTCODE/rag-mastery"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
denser-org/denser-retriever
An enterprise-grade AI retriever designed to streamline AI integration into your applications,...
rayliuca/T-Ragx
Enhancing Translation with RAG-Powered Large Language Models
neuml/rag
🚀 Retrieval Augmented Generation (RAG) with txtai. Combine search and LLMs to find insights with...
NovaSearch-Team/RAG-Retrieval
Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.
RulinShao/retrieval-scaling
Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".