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Microsoft

Build Agents with Knowledge - Agentic RAG and Azure AI Search

Microsoft via YouTube

Overview

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Learn to build intelligent agents using Azure AI Search's latest knowledge features in this 44-minute conference talk from Microsoft Ignite 2025. Discover how to connect agentic retrieval engines to diverse knowledge sources including SharePoint, web content, and blob storage through hands-on demonstrations and code samples. Explore hybrid search techniques combining keyword and vector search with reciprocal rank fusion, and understand how semantic rankers improve result relevance. Master the distinction between indexed and remote knowledge sources, and see how SharePoint integration enables real-time access to organizational content. Examine query planning strategies that help agents select appropriate knowledge sources, and learn to leverage web knowledge through Bing integration for comprehensive information retrieval. Follow along as the speakers demonstrate medium mode retrieval solving complex multi-query scenarios, and gain practical guidance on implementing new controls that enhance RAG performance across query planning, retrieval, and answer generation phases.

Syllabus

0:00 - Introduction and Session Overview
00:10:34 - Hybrid Search and Reciprocal Rank Fusion Explanation
00:12:45 - Applying Semantic Ranker in AI Search for Improved Results
00:14:10 - Overview of the Complete Hybrid Search Flow
00:18:49 - Indexed vs Remote Knowledge Sources and SharePoint Integration
00:27:21 - Knowledge Source Selection and Query Planning Explained
00:31:08 - Using Web Knowledge Sources with Bing Integration
00:34:41 - Second iteration enhances query with additional context from first pass
00:35:09 - Demo: Medium mode retrieval solving complex multi-query example

Taught by

Microsoft Ignite

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