Making the most of Microsoft Search
summary
Microsoft Search surfaces direct answers, people and links across apps by indexing content with Microsoft Graph and by query-time federation; a transformer called the Touring model reads documents in SharePoint and OneDrive and returns concise authoritative answers (demo shows correct policy text and a working RSVP-able calendar answer). Connectors ingest up to 5 million items per connection (10 connections = 50 million items) for Jira, Confluence, ServiceNow and on‑prem SharePoint, while federated search keeps data in place and merges results at query time.
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chapters (25)
- 0:00Intro
- 2:22Acronyms
- 3:15Bookmarks
- 4:23Topics
- 4:55Turing (knowledge answers)
- 8:36Calendar
- 9:23Microsoft Graph connectors
- 10:01Confluence
- 10:20ServiceNow Catalog
- 10:31SharePoint Server
- 10:51Intelligent discovery
- 11:27Increased scale up to 5 million items
- 12:02Graph connector SDK Build your own custom line-of-business connector
- 13:00Roadmap
- 15:32Federated Search - Overview Developers keep their dota in place & federate at query time to power search experiences
- 16:42Dynamics 365 federation search in Microsoft Search in Bing & Microsoft Search in Office
- 17:18Azure Cognitive Search in Microsoft Search
- 17:38Modify your search page
- 18:13Customize new search tabs
- 18:38Customize results to show rich information
- 19:12Natural language search
- 20:59Microsoft Search API
- 21:31Enrich user's profile with HRMS information
- 22:34Search for people, irrespective of information source
- 23:36Connectors for profile enrichment
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