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Carey MacDonald
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Update rest api preview docs
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articles/search/cognitive-search-skill-document-extraction.md

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# Document Extraction cognitive skill
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> [!IMPORTANT]
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> This skill is currently in public preview. Preview functionality is provided without a service level agreement, and is not recommended for production workloads. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/).
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> The [REST API version 2019-05-06-Preview](search-api-preview.md) provides preview features. There is currently no portal or .NET SDK support.
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> This skill is currently in public preview. Preview functionality is provided without a service level agreement, and is not recommended for production workloads. For more information, see [Supplemental Terms of Use for Microsoft Azure Previews](https://azure.microsoft.com/support/legal/preview-supplemental-terms/). There is currently no portal or .NET SDK support.
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The **Document Extraction** skill extracts content from a file within the enrichment pipeline. This allows you to take advantage of the document extraction step that normally happens before the skillset execution with files that may be generated by other skills.
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articles/search/search-api-preview.md

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+ [Azure Data Lake Storage Gen2 indexer (preview)](search-howto-index-azure-data-lake-storage.md) can index content and metadata from Data Lake Storage Gen2.
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+ [Document Extraction (preview)](cognitive-search-skill-document-extraction.md) is a cognitive skill used during indexing that allows you to extract the contents of a file from within a skillset. Previously, document cracking only occurred prior to skillset execution. With the addition of this skill, you can also perform this operation within skillset execution.
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+ [Text Translation](cognitive-search-skill-text-translation.md) is a cognitive skill used during indexing that evaluates text and, for each record, returns the text translated to the specified target language.
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+ [Knowledge store](knowledge-store-concept-intro.md) is a new destination of an AI-based enrichment pipeline. The physical data structure exists in Azure Blob storage and Azure Table storage, and it is created and populated when you run an indexer that has an attached cognitive skillset. The definition of a knowledge store itself is specified within a skillset definition. Within the knowledge store definition, you control the physical structures of your data through *projection* elements that determine how data is shaped, whether data is stored in Table storage or Blob storage, and whether there are multiple views.
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## Earlier preview features

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