Grounding Agents with Real World Intelligence

From the creator

Discover how Microsoft Web IQ helps AI agents access fresh, trustworthy information from across the web, and how grounding, passage-level retrieval, citations, and scopes improve answer quality and transparency. In this session we'll explore Web IQ’s search verticals, Auto mode, Places, and fast versus advanced retrieval. See how its low-latency, token-efficient architecture supports production-scale agents. Chapters: 0:00 - Why Agents Need Web Grounding 1:36 - Introducing Microsoft Web IQ 2:12 - Grounded Answers with Citations 3:17 - Risks of Outdated Information 4:22 - What Is Web IQ? 5:30 - Search Modes and API Options 6:36 - Quality, Speed, and Token Efficiency 8:15 - Passage-Level Retrieval 9:22 - Reduce Agent Latency and Costs 10:26 - Responsible Enterprise Grounding 11:29 - Control Sources with Scopes 12:34 - Auto Search and Places 14:47 - Fast vs. Advanced Mode 15:52 - Competitive Intelligence Example 17:31 - Set Up Your First Web IQ Call 18:37 - Build a Web-Grounded Agent 19:11 - Demo: Analyze US Energy Markets 20:18 - Inspect Activity and Citations 21:22 - Key Benefits and Resources Resources: Check out the Web IQ Cookbook in the repo: https://aka.ms/iq-series https://www.microsoft.com/en-us/webiq https://learn.microsoft.com/en-us/web-iq/

Published 2026-11-10 · Watch on YouTube ↗
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