This repository aggregates resources for implementing RAG (Retrieval Augmented Generation) systems with large language models. It covers RAG frameworks, preprocessing, query routing, evaluation tools, embedding methods, GraphRAG, observability, and enterprise knowledge base construction. The list includes open-source tools, research papers, courses, videos, and coding practices for practitioners building RAG-based applications.