RAG vs CAG Explained Simply | Retrieval-Augmented Generation vs Cache-Augmented Generation in AI

What is the difference between RAG (Retrieval-Augmented Generation) and CAG (Cache-Augmented Generation) in AI systems? In this video, we break down these two important AI architecture concepts used in modern LLM-powered applications such as AI copilots, chatbots, and enterprise knowledge assistants. You will learn: • What RAG (Retrieval-Augmented Generation) is and how it works • What CAG (Cache-Augmented Generation) is and why it improves performance • The key differences between RAG and CAG • When to use RAG vs CAG in real-world AI systems • How combining RAG + CAG can reduce latency and cost in production AI applications This explanation is perfect for AI engineers, developers, and system designers building scalable AI applications.