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See What's new in Azure Cognitive Search for the most recent announcements.

Month Item
November Add search to websites series, updated versions of React and Azure SDK client libraries: "Add search to websites" is a tutorial series with sample code available in three languages. If you're integrating client code with a search index, these samples demonstrate an end-to-end approach to integration.
November Retired - Visual Studio Code extension for Azure AI Search.
November Query performance dashboard. This Application Insights sample demonstrates an approach for deep monitoring of query usage and performance of an Azure AI Search index. It includes a JSON template that creates a workbook and dashboard in Application Insights and a Jupyter Notebook that populates the dashboard with simulated data.
October Compliance risk analysis using Azure AI Search. On Azure Architecture Center, this guide covers the implementation of a compliance risk analysis solution that uses Azure AI Search.
October Beiersdorf customer story using Azure AI Search. This customer story showcases semantic search and document summarization to provide researchers with ready access to institutional knowledge.
September Event-driven indexing for Azure AI Search. This C# sample is an Azure Function app that demonstrates event-driven indexing in Azure AI Search. If you've used indexers and skillsets before, you know that indexers can run on demand or on a schedule, but not in response to events. This demo shows you how to set up an indexing pipeline that responds to data update events.
August Tutorial: Index large data from Apache Spark. This tutorial explains how to use the SynapseML open-source library to push data from Apache Spark into a search index. It also shows you how to make calls to Azure AI services to get AI enrichment without skillsets and indexers.
June Semantic search (preview). New support for Storage Optimized tiers (L1, L2).
June General availability - Debug Sessions.
May Retired - Power Query connector preview.
February Index aliases. An index alias is a secondary name that can be used to refer to an index for querying, indexing, and other operations. When index names change, for example if you version the index, instead of updating the references to an index name in your application, you can just update the mapping for your alias.