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Chapter 10 - RAG, Agents & Enterprise Knowledge Architecture

Chapter 10 focuses on designing the knowledge and agent architectures required to build intelligent enterprise AI systems. It covers the complete RAG foundation from data ingestion and document processing to embeddings, retrieval, reranking, context engineering, and knowledge freshness, while also examining agentic workflows, tool use, agent boundaries, multi agent architectures, and controlled autonomy. The chapter emphasizes making deliberate architectural choices, including when not to use agents, and brings these decisions together in the RAG & Agent Architecture Decision Framework.