· Xiaojing Yang · Retrieval & Knowledge Systems
What Is RAG? From Retrieval to Grounded Answers
From documents, chunks, and embeddings to retrieval, reranking, evidence completeness, augmentation, and generation: a complete visual foundation for RAG.