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@@ -291,7 +291,7 @@ By [Accenture](https://www.accenture.com)
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Allows your company to crawl content from the Adobe Experience Manager server, providing connection throttling and expected values or patterns filtering.
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The Aspider connector allows crawling of content from web sites, using HTTP Authentication, incremental crawls, connection throttling, distributed and HTTPS crawling, among other features.
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Provides the ability to crawl content from an Azure Blob container, allowing incremental crawling, document level security, and access to folders and subfolders.
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The Azure Data Lake connector crawls content from the Azure Data Lake Store cloud at either root or specified paths, with incremental crawling, fetching objects ACLs, OAuth 2 authentication and more.
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The Box connector crawls content from a Box repository. The connector retrieves the supported elements via the REST API, providing full or incremental crawling, metadata extraction, fetching ACLs, and more.
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The Confluence connector crawls content from any Confluence content repository. The connector retrieves spaces, pages, blogs, attachments, and comments through a REST API, allowing incremental crawling, fetching ACLs, support for HTTP and HTTPS, and more.
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The Database Server connector crawls content from a Relational Database server, scanning all databases on the server and extracting rows and table information.
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The Aspire Documentum DQL connector crawls content from Documentum, allowing crawls based on user-defined DQL SELECT statements, incremental crawling, fetching of ACLs, group expansion of nested permissions, and more.
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The Elasticsearch connector crawls content from an Elasticsearch index, allowing crawling of multiple indexes, Slice support, use of Get of MGet methods for fetching content, and connection throttling.
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The File System connector crawls content from a file system location, allowing incremental crawling, metadata extraction, filtering of documents by path, supporting Windows/Linux/macOS file systems.
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The IBM Connections connector crawls content from IBM Connections server, featuring incremental crawling, metadata extraction, fetching of ACLs, filtering documents by regex patterns, and more.
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The OneDrive connector crawls content from Microsoft OneDrive, allowing incremental crawling, including and excluding items based on regex patterns, metadata extraction, retrieving several types of documents.
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The RDB via Snapshots connector crawls content from any relational database that can be accessed using JDBC and performs incremental crawls using a snapshot database. It extracts data directly based on SQL statements.
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The RDB via Tables connector crawls content from any relational database that can be accessed using JDBC and performs incremental crawls fetching updates using tables that hold identifiers of updated content. It extracts data directly based on SQL statements.
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The Amazon S3 connector crawls content from any Amazon Simple Storage Service. It performs incremental crawls, fetch object ACLs for S3 document level security and includes documents stored in buckets, folders and subfolders.
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The Salesforce connector crawls content from a Salesforce repository. The connector supports Salesforce Knowledge Base and Chatter, metadata and custom metadata retrieval, performs full or incremental crawls, fetches ACLs, selectable element types and group expansion.
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The Selenium connector crawls content from websites using an internet browser to retrieve several types of documents like web pages, sitemaps, binary documents, and more. It avoids compatibility issues with frameworks like Angular and React.
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The ServiceNow connector retrieves several types of documents from a ServiceNow Repository, like Knowledge Articles, Catalog Items and Attachments. It also retrieves security ACLs and performs group expansion.
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The SharePoint 2013 connector crawls content from any SharePoint 2013 site collection URL. It performs incremental crawls using SharePoint's change log timestamp or a snapshot database, fetches ACLs, supports NTLM and HTTPS, BCS external lists, and runs without installing anything on SharePoint.
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The SharePoint 2016 connector crawls content from any SharePoint 2016 site collection URL. It performs incremental crawls using SharePoint's change log timestamp or a snapshot database, fetches ACLs, supports NTLM and HTTPS, BCS external lists, and runs without installing anything on SharePoint.
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The SharePoint connector crawls content from any SharePoint site collection URL. The connector retrieves Sites, Lists, Folders, List Items and Attachments, and other pages (in .aspx format). Supports SharePoint running in the Microsoft 365 offering.
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The SMB connector retrieves files and directories across shared drives. It has Distributed File System support, security information retrieval, and it can access documents for indexing without changing the last accessed date.
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The Twitter connector crawls content from any X account. It performs full and incremental crawls, supports authentication using X user, consumer key and consumer secret key.
Copy file name to clipboardExpand all lines: articles/search/whats-new.md
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| May | Portal |[Import and vectorize data wizard](search-get-started-portal-import-vectors.md) now supports OneLake indexers as a data source. For embeddings, it also supports connections to Azure AI Vision multimodal, Azure AI Foundry model catalog, and more embedding models on Azure OpenAI. <br><br>When adding a field to an index, you can choose a [binary data type](vector-search-how-to-index-binary-data.md). <br><br>[Search explorer](search-explorer.md) now defaults to 2024-05-01-preview and supports the new preview features for vector and hybrid queries. |
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| May | API |[2024-05-01-preview](/rest/api/searchservice/search-service-api-versions#2024-05-01-preview). New preview version of the Search REST APIs provides new skills and vectorizers, new binary data type, OneLake files indexer, and new query parameters for more relevant results. See [Upgrade REST APIs](search-api-migration.md) if you have existing code written against the 2023-07-01-preview and need to migrate to this version. |
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| May | API | Azure SDK beta packages. Review the changelogs of the following Azure SDK beta packages for new feature support: [Azure SDK for Python](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/search/azure-search-documents/CHANGELOG.md), [Azure SDK for .NET](https://github.com/Azure/azure-sdk-for-net/blob/Azure.Search.Documents_11.6.0-beta.4/sdk/search/Azure.Search.Documents/CHANGELOG.md), [Azure SDK for Java](https://github.com/Azure/azure-sdk-for-java/blob/main/sdk/search/azure-search-documents/CHANGELOG.md)|
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| May | Samples |[Python code samples](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/readme.md). New end-to-end samples demonstrate [integration with Cohere Embed v3](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/community-integration/cohere/azure-search-cohere-embed-v3-sample.ipynb), [integration with OneLake and cloud data platforms on Google and AWS](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/e2e-demos/azure-ai-search-e2e-build-demo.ipynb), and [integration with Azure AI Vision multimodal APIs](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/embeddings/multimodal-embeddings/multimodal-embeddings.ipynb). |
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| May | Samples |[Python code samples](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/readme.md). New end-to-end samples demonstrate [integration with Cohere Embed v3](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/community-integration/cohere/azure-search-cohere-embed-v3-sample.ipynb), [integration with OneLake and cloud data platforms on Google and AWS](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/conference-demos/ignite-2024/azure-ai-search-e2e-build-demo.ipynb), and [integration with Azure AI Vision multimodal APIs](https://github.com/Azure/azure-search-vector-samples/blob/main/demo-python/code/embeddings/multimodal-embeddings/multimodal-embeddings.ipynb). |
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| April | API |[Security update addressing information disclosure](https://msrc.microsoft.com/update-guide/vulnerability/CVE-2024-29063). GET responses [no longer return connection strings or keys](search-api-migration.md#breaking-changes-for-client-code-that-reads-connection-information). Applies to GET Skillset, GET Index, and GET Indexer. This change helps protect your Azure assets integrated with AI Search from unauthorized access. |
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| April | API |[2024-03-01-preview Search REST API](/rest/api/searchservice/search-service-api-versions#2024-03-01-preview)|
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| April | API |[2024-03-01-preview Management REST API](/rest/api/searchmanagement/operation-groups?view=rest-searchmanagement-2024-03-01-preview&preserve-view=true)|
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