Microsoft Reactor Stockholm

Retrieval Augmented Generation (RAG) enhances LLMs with external knowledge for accurate, context-aware responses. This lab guides you through deploying a scalable RAG solution using KAITO RAGEngine on AKS, streamlining integration of knowledge sources and LLMs.

📌 This session is a part of a series. (Learn more here)[https://developer.microsoft.com/en-us/reactor/series/S-1528/?wt.mc_id=meetup_S-1528_webpage_reactor]

Approvals (purchase orders, vendor onboarding, expense claims) are common across industries. Demonstrating how to design and deploy a real-world business workflow using multiple AI agents inside Microsoft Copilot Studio, showcasing intelligent collaboration, automation, and decision-making.

Learn how to implement authentication and authorization to resources by using the Microsoft identity platform, Microsoft Authentication Library, shared access signatures, and use Microsoft Graph.

Prerequisites
At least one year of experience developing scalable solutions through all phases of software development.
Have a base understanding of Azure and cloud concepts, services, and the Azure portal.
If you're new to Azure or cloud computing, it's recommended you complete the AZ-900: Azure Fundamentals course.