KalyanKS-NLP/rag-zero-to-hero-guide

Covers implementation patterns across multiple frameworks (LangChain, CrewAI) and evaluation methodologies using dedicated tools like RAGAS and DeepEval for measuring retriever and generator performance. Includes practical notebooks demonstrating RAG pipelines on diverse data sources—from raw documents to web content and video transcripts—alongside a curated toolkit spanning vector databases (FAISS, Qdrant, Weaviate), document parsers (Docling, Llama Parse), and chunking strategies.

1,271 stars. No commits in the last 6 months.