This repository serves as a comprehensive resource map of the RAG ecosystem, cataloging frameworks, architecture patterns, Python libraries, techniques, and evaluation metrics for developers building retrieval-augmented LLM applications. It provides links to authoritative sources, tutorials, and implementations across the RAG tooling landscape.