Product
Enterprise search in Microsoft 365 that finds people, files, sites and answers across Microsoft 365 apps, Bing and connected data sources.
| Type | Product |
|---|---|
| Documentation | learn.microsoft.com/microsoftsearch |
2026-07-17
Azure AI Search is Microsoft's intelligent search and information retrieval service for building modern search experiences and AI-powered applications. It combines traditional keyword search with vector search, semantic ranking, and AI enrichment, making it a…
2026-05-01
This episode explains that vector search on its own is not a complete or reliable strategy for building accurate AI systems like Copilot. While many organizations rely on embeddings and vector databases to retrieve information, this approach often leads to…
2025-11-03
If you can paste the exact title of a file into intranet search and still get nothing back, you don’t have a user problem—you have an Information Architecture (IA) problem. This episode shows how to fix the foundations so both humans and Copilot can actually…
2026-05-28
Enterprise search is no longer limited by storage capacity or indexing speed. The real challenge is the growing gap between when information is created and when it becomes discoverable. This article explores how Microsoft Graph API Discovery is changing…
2025-11-03
This episode breaks down how Microsoft 365 Copilot Connectors are quietly becoming the backbone of the Copilot experience, transforming Microsoft Search from a basic tool into a powerful, enterprise-wide knowledge engine. We explore what connectors actually…
2026-07-16
Vector databases are one of the key technologies powering modern AI applications, yet most people never interact with them directly. Unlike traditional databases that search for exact words or values, vector databases search by meaning, enabling AI to…
2025-08-05
Most organizations assume “we’re on Microsoft 365, so we’re covered.” But critical knowledge still hides in legacy databases, shadow systems, and half-retired tools. The result: missed renewals, compliance risk, duplicated work, and stalled decisions. In this…
2026-04-25
This episode explains that constantly searching for files is a sign of a poorly designed system rather than a normal part of work. Many organizations struggle with scattered documents, duplicate versions, and unclear structures, which leads to wasted time and…
2025-08-14
Viva Topics can surface gold—or noise. Turn AI guesses into trusted answers by triaging topics in week one, curating only what matters, merging duplicates without losing links, and designing rich, action-first topic cards. With the right governance, SMEs, and…
2026-07-16
Retrieval-Augmented Generation (RAG) is one of the most important techniques behind modern AI applications, enabling large language models to answer questions using your own business data instead of relying only on their training knowledge. In this episode of…
2026-06-08
The explosion of AI-powered applications has created a new challenge: how do you efficiently search through billions of vector embeddings without exploding infrastructure costs? In this episode, we explore the “billion-vector problem” and compare two leading…
2026-04-25
This episode argues that most organizations misunderstand Microsoft Copilot by treating it as a prompt-driven assistant instead of a deeper execution architecture. The speaker introduces the idea of a “Copilot coworker” or “cowork engine,” where AI operates…
Azure AI Search is a Microsoft cloud search service that turns messy unstructured information into searchable, AI-ready knowledge for apps and websites. · From the episode: Azure AI Search – Simply Explained
Hybrid search combines exact keyword matching for precision with semantic understanding for context. The episode says this gives more reliable, citation-friendly answers than either approach alone. · From the episode: Azure AI Search – Simply Explained
Unstructured text such as PDFs, emails, Word documents and support tickets, where good search is hard. · From the episode: Azure AI Search – Simply Explained
It acts as the retrieval engine behind a RAG app or AI assistant. The episode recommends hybrid search for that role. · From the episode: Azure AI Search – Simply Explained
The episode says you can run your first search in under an hour: use the import data wizard in the Azure portal, connect blob storage and let the indexer build your first index. · From the episode: Azure AI Search – Simply Explained
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Maintained by Mirko Peters (Microsoft MVP) · Last updated:
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