RAG shouldn’t just be a chatbot demo; it should be your everyday second brain, built on Azure and secured like any other business app. In this session, we design a RAG architecture using Azure AI Search, Azure Blob Storage, and Azure AI Foundry so your team can query a secure RAG
database for daily work. We’ll show how to ingest ADF-style documents into a hybrid index, enforce document-level access, front the app with API Management, and tie the same knowledge base into GitHub Copilot coding agents and Microsoft 365 Copilot via Copilot Studio knowledge connectors. Short demos prove the pattern without turning the session into a lab.

Explain the business value of an Azure‑native RAG database that supports everyday work rather than isolated chatbot experiments.
Integrate Microsoft 365 Copilot and Copilot Studio with the Azure RAG knowledge base through real‑time knowledge connectors (Azure AI Search, SharePoint, Azure SQL, Dataverse, and others).
Select small, focused demos as proof examples that validate the Azure‑native, Copilot‑integrated architecture without turning the session into a hands‑on lab.
Connect GitHub Copilot coding agents to Azure RAG resources via Azure MCP Server and managed identities, enabling agentic delivery while keeping architects in control.