RAG is Dead, Long Live RAG - Retrieval in the Age of Agents

Explore the evolution of Retrieval-Augmented Generation (RAG) from its 2023 peak as a universal solution to its current role as a specialized tool in agentic AI systems. Learn why expanding context windows, agentic frameworks, and simple search tools like grep haven't eliminated the need for intelligent retrieval, despite claims that RAG is obsolete. Discover how cost, latency, and accuracy challenges persist even with larger context windows, and understand why basic text search fails with visual and complex content types. Examine the transformation from the 2023 approach of applying RAG to everything toward a more nuanced strategy where AI agents selectively deploy retrieval when strategically appropriate. Gain insights into why intelligent retrieval remains essential and increasingly sophisticated in modern AI architectures, moving beyond blanket application to become a conditional, context-aware tool that enhances rather than dominates AI workflows.