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

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​ 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

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   Read More Microsoft Developer 

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