RAG (Retrieval-Augmented Generation) is more than a buzzword—it’s a foundational shift in how enterprise AI gets real work done. At Phazur Labs, we take RAG beyond passive Q&A into agentic territory: smart, context-aware systems that retrieve, reason, and act. In this blog, we break down what agentic RAG really means, how it transforms workflows, and why the future of AI is quiet, contextual, and built for action.
Why do all AI assistants seem to look and act the same? In The AI Assistant User Experience Blueprint, Nicholas McGinnis unpacks the psychology and design rules behind this shared UI model. From cognitive load to Jakob’s and Hick’s Laws, discover why minimalism reigns—and what the future holds for more adaptive, personalized AI experiences. A must-read for designers, developers, and tech enthusiasts shaping the next wave of human-AI interaction.
