Your Copilot Has No Memory - Why RAG Fails and LLM Wiki Fixes It - M365.FM

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Copilot Automation agents architecture context

Episode notes

Microsoft Copilot can feel remarkably intelligent in a demo. It can find a project document, summarize a policy, extract information from SharePoint, and connect pieces of enterprise content into a convincing answer. But there is a fundamental architectural limitation hiding behind that experience: retrieval is not memory. Copilot can search your organization, but that does not mean it has built a persistent understanding of your organization. In this deep dive, we explore the difference between retrieving information and actually compiling organizational knowledge. We examine how Retrieval-Augmented Generation works, why traditional RAG architectures become unreliable when questions require continuity and context, and why an emerging LLM Wiki approach could provide a fundamentally different knowledge layer for enterprise AI. COPILOT DOESN'T REMEMBER - IT RETRIEVES The experience of using Copilot creates an important illusion. When it successfully connects information from Microsoft 365, it can appear as though the system has learned something about your organization.