Engineering blog
Deep dives into Microsoft Fabric, RAG patterns, and engineering at scale. Written by a practitioner, for practitioners.
An ontology is a written map of the things your business runs on and how they connect. Why you need one the day your answers depend on connections across systems, what the building blocks are, which tools build it, and how to build one in-house.
Copilot and Fabric Data Agents answer from your semantic model's metadata, so preparing the model is the real AI work. A persona-mapped, flowchart-driven guide with brownfield and greenfield checklists.
A Power BI semantic model in Microsoft Fabric can be tuned for self-service exploration, certified analytics, or AI agents, but not all three at once. Six dimensions pull the model in different directions, and the one-source-three-models pattern resolves the conflict.
AI knowledge retrieval works best as a router: match each question type (lookup, meaning, connect-the-dots, whole-collection) to the right search method (keyword, hybrid, reranking, multi-step, graph) instead of defaulting to vector search for everything.