Building an End-to-End Enterprise AI Platform on Azure
Microsoft's CAF-aligned Azure AI landing zone delivers enterprise RAG at millions-of-documents scale
“The result is a grounded response traceable to enterprise data, not a hallucination.”
Microsoft MVP Sanaz Eskandari presents a reference architecture for enterprise AI on Azure, using Cosmos DB for unified vector and document storage, Azure Functions for real-time embedding generation, and a RAG pipeline hosted on Azure Container Apps. The architecture targets semantic search over millions of partner-ingested documents with grounded, hallucination-resistant LLM responses. This is a practitioner-level implementation walkthrough rather than a product announcement, offering replicable patterns for enterprise AI teams standardizing on Azure.