https://blog.mohamedaminehlali.cloud/tags/rag/Recent content in RAG on Mohamed Amine HlaliHugoen-USSat, 21 Feb 2026 00:00:00 +0000https://blog.mohamedaminehlali.cloud/posts/building-smarter-ai-agents-with-foundryiq/Sat, 21 Feb 2026 00:00:00 +0000https://blog.mohamedaminehlali.cloud/posts/building-smarter-ai-agents-with-foundryiq/<h3 id="microsofts-agentic-rag-evolution">Microsoft’s Agentic RAG Evolution</h3> <p>As organizations continue adopting AI, one challenge keeps surfacing: <strong>enterprise knowledge is fragmented</strong>.</p> <p>Critical information lives across Azure Blob Storage, SharePoint, Microsoft 365, OneLake, internal databases, and even the public web. While traditional Retrieval-Augmented Generation (RAG) systems improved how AI models access context, they often struggle when questions require deeper reasoning across multiple sources.</p> <p>Microsoft’s answer to this growing complexity is <strong>FoundryIQ</strong>.</p> <p>FoundryIQ is not just another retrieval layer. It represents a shift toward <strong>Agentic RAG</strong>, where AI systems actively plan, reason, and orchestrate how knowledge is retrieved.</p>