Context architecture is replacing RAG in AI

Context architecture is replacing RAG in AI

Redis built its name as the caching layer that kept web applications from collapsing under load. The problem it is targeting now has the same structure but is harder to solve: production AI agents failing not because the models are wrong, but because the data underneath them is scattered, stale and structured for humans rather than machines. Retrieval pipelines built for single queries cannot absorb the volume agents generate.The gap Redis is ta…

Redis launches Iris platform to fix AI agent context

Production AI agents often fail on stale or fragmented data, and Redis is betting its new Iris platform can fix that runtime gap.

Redis agentic AI flowers with Iris

In-memory database supplier Redis is launching Iris, a Context Engine, a single context and mem ...

Redis debuts the much-needed memory layer for enterprise AI agents

Artificial intelligence agents have a memory problem and now Redis Inc., the database management startup, is trying to fix that with its new, real-time Context Engine. As the company explains, it’s all about helping enterprise AI agents move beyond simply chatting to users and making them productive workers in their own right. Redis explained that there […] The post Redis debuts the much-needed memory layer for enterprise AI agents appeared firs…