Agentic RAG: build a reasoning retrieval engine with Azure AI Search | BRK142

Transform flat, simple search into an independent, sophisticated engine with agentic retrieval. Learn how agentic retrieval engines use memory, query planning and reasoning models to help solve complex problems. To learn more, please check out these resources: * https://aka.ms/build25/plan/CreateAgenticAISolutions Microsoft Azure Free Trial: http://aka.ms/devrelFT 𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀: * Vinod Valloppillil * Pamela Fox * Matthew Gotteiner 𝗦𝗲𝘀𝘀𝗶𝗼𝗻 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻: This is one of many sessions from the Microsoft Build 2025 event. View even more sessions on-demand and learn about Microsoft Build at https://build.microsoft.com BRK142 | English (US) | AI, Copilot & Agents Related Sessions: BRK192 -- https://build.microsoft.com/sessions/BRK192?wt.mc_id=yt_PLlrxD0HtieHg4OIwuQGsVgpQhTKl4fFdE #MSBuild Chapters: 0:00 - Discussion on Azure AI Search and RAG Solution 00:01:38 - Extensive Usage of Azure AI Technologies 00:16:16 - Search Result Relevance and Customization 00:16:36 - Role of Semantic Ranker in Adjusting Search Results 00:33:05 - Transition to Slides and Emphasis on Presentation Method 00:33:20 - Modified Presentation of Search Results 00:48:45 - Full Evaluation Methodology for Agentic Retrieval 00:49:00 - Usage and Benefits of Different Models in Query Planning 👩‍💻👨‍💻 Great devs don’t build alone. ⏱️ In a fast-paced dev world, there’s no time to hunt for help. That’s why we created the Azure AI Foundry Developer Community — your one-stop hub for: 🌐 A vibrant forum for Q&A + code 🎙️ DevBlogs with the latest updates 🎮 Real-time Discord chats, events & learning 🔗 Join the Forum -- https://github.com/orgs/azure-ai-foundry/discussions 🔗 Hop on Discord -- https://discord.com/invite/azureaifoundry