RAG Implementation Guide: From Retrieval to Evaluation
RAG augments large language models with external knowledge retrieval, ideal for enterprise knowledge-base Q&A. This guide walks through loading, splitting, embedding, storing, retrieval, reranking, generation, and evaluation.