Knowledge Retrieval: RAG for enterprise agents with Azure AI Search | BRK141

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​ Agents have reinvented the way we interact with data and AI. Knowledge retrieval systems are designed to ground agents, and replace traditional RAG systems in this new era. Join this session to learn the latest announcements from Azure AI Search, knowledge retrieval with Azure AI Foundry, and what’s coming on the product roadmap

To learn more, please check out these resources:
* https://aka.ms/build25/plan/CreateAgenticAISolutions

𝗦𝗽𝗲𝗮𝗸𝗲𝗿𝘀:
* Pablo Castro

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

BRK141 | English (US) | AI, Copilot & Agents

Related Sessions:
BRK192 — https://build.microsoft.com/sessions/BRK192?wt.mc_id=yt_

#MSBuild, #AI

Chapters:
0:00 – Evolution of RAG and Language Models
00:10:25 – Practical Example of Agentic Retrieval
00:15:14 – Importance of Comprehensive Product Documentation
00:24:05 – Addressing Multi-Modal Document Retrieval
00:28:47 – Options for Various Scenarios
00:29:01 – Model Invocation During Ingestion
00:30:48 – Multimedia Ingestion Solution Completion
00:44:54 – Identity-based document access control in Azure Search
00:46:32 – Announcement of support for Azure Data Lake Storage Gen 2 with native ACLs   Read More Microsoft Developer 

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