Architectural patterns for graph-enhanced RAG: Moving beyond vector search in production

The standard architecture — chunking documents, embedding them into a vector database, and retrieving top-k results via ...
VentureBeat

The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next

The vector database category is undergoing a shift in response to the needs of agentic AI. The retrieval-augmented generation (RAG)-to-vector database pipeline doesn't cut it anymore; agentic AI ...

Beyond RAG: Why every AI search platform is now agentic and what that means for your content

AI search has outgrown simple RAG. Learn how today’s hidden AI retrieval systems decide whether your content gets surfaced or ...
InfoQ

Arm Open-Sources Metis, an AI Security Framework Outperforming Traditional SAST Tools

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Harvard Business Review

To Solve a Tough Problem, Reframe It

Five steps to ensure that you don’t jump to solutions by Julia Binder and Michael D. Watkins When business leaders confront complex problems, there’s a powerful impulse to dive right into “solving” ...