Context architecture is replacing RAG as agentic AI pushes enterprise retrieval to its limits

Retrieval-Augmented Generation (RAG) is being supplanted by context architecture as agentic AI systems generate orders of magnitude more data requests than traditional human-scale applications can support. Redis Iris and competing platforms are repositioning as context and memory layers that provide real-time, low-latency data access to AI agents rather than pre-staged information, representing a fundamental architectural shift in enterprise AI infrastructure. This transition signals that IT organizations must move beyond point solutions to comprehensive data integration platforms that can govern, cache, and deliver current information at agent runtime speeds.