Bring state-of-the-art search capabilities to your custom applications in content management systems with Azure Cognitive Search. Tour the latest enhancements with Semantic Search to surface relevant answers to your search queries.
Azure Cognitive Search is a PaaS solution that allows you to integrate sophisticated search capabilities into your applications. It helps you quickly ingest, enrich, and explore structured and unstructured data, and is available to everyone.
Azure and Bing teams have worked together to bring learned ranking models to Azure for you to leverage in your custom search solutions. Now search can extract and index information from any format, applying machine learning techniques to understand latent structure in all data. Distinguished engineer, Pablo Castro, joins host Jeremy Chapman, to walk you through the improvements and show you how the intelligence works behind these powerful capabilities. Semantic Search: Relevance, Captions, and Answers: Create similar experiences to web search engines, but for your own application and on your own data. Search matches words, but also understands the context of the words relative to the words surrounding them. Offers a significant improvement in relevant results; all you have to do is enable it.
Spell correction, Inverted index, Prep model, and Re-ranker Keyword searches return exact matches and ranking is often only based on the rate of relevant frequencies of the words. Capture nuances in the language for a more sophisticated machine learning model that's course document relevant in the context of the query.
► QUICK LINKS:
00:00 - Introduction
01:18 - Data ingestion
02:38 - Semantic Search
04:48 - How to get it running
06:59 - How the intelligence works
08:43 - Advancements in natural language processing
10:52 - How it avoids slow search results
11:35 - Wrap Up
► Link References:
Get started with Azure Cognitive Search at https://aka.ms/SemanticGetStarted
Sign up for the public review of semantic search at https://aka.ms/SemanticPreview
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