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articles/search/cognitive-search-skill-document-intelligence-layout.md

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```
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The value of the `markdownHeaderDepth` controls the number of keys in the 'sections' dictionary. In the example skill definition, since the `markdownHeaderDepth` is "h3", there are three keys in the "sections" dictionary: h1, h2, h3.
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The value of the `markdownHeaderDepth` controls the number of keys in the "sections" dictionary. In the example skill definition, since the `markdownHeaderDepth` is "h3", there are three keys in the "sections" dictionary: h1, h2, h3.
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## See also
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articles/search/search-how-to-semantic-chunking.md

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The raw inputs must be in a [supported data source](search-indexer-overview.md#supported-data-sources) and the file needs to be a format which [Document Layout skill](cognitive-search-skill-document-intelligence-layout.md) supports.
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Supported file formats include: PDF, JPEG, JPG, PNG, BMP, TIFF, DOCX, XLSX, PPTX, HTML.
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+ Supported file formats include: PDF, JPEG, JPG, PNG, BMP, TIFF, DOCX, XLSX, PPTX, HTML.
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Supported indexers can be any indexer that can handle the supported file formats. These include [Blob indexers](search-howto-indexing-azure-blob-storage.md), [OneLake indexers](search-how-to-index-onelake-files.md), [File indexers](search-file-storage-integration.md).
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+ Supported indexers can be any indexer that can handle the supported file formats. These include [Blob indexers](search-howto-indexing-azure-blob-storage.md), [OneLake indexers](search-how-to-index-onelake-files.md), [File indexers](search-file-storage-integration.md).
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Supported regions for this feature include: East US, West US2, West Europe, North Central US. Be sure to [check this list](search-region-support.md#azure-public-regions) for updates on regional availability.
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+ Supported regions for this feature include: East US, West US2, West Europe, North Central US. Be sure to [check this list](search-region-support.md#azure-public-regions) for updates on regional availability.
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You can use the Azure portal, REST APIs, or an Azure SDK package to [create a data source](search-howto-indexing-azure-blob-storage.md).
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> [!TIP]
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> Use the [health plan PDF](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/health-plan) sample files to try out the Document Layout skill and structure-aware chunking on your own search service.
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> Upload the [health plan PDF](https://github.com/Azure-Samples/azure-search-sample-data/tree/main/health-plan) sample files to your supported data source to try out the Document Layout skill and structure-aware chunking on your own search service. The [Import and vectorize data](search-get-started-portal-import-vectors.md) wizard is an easy code-free approach for trying out this skill.
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## Create an index for one-to-many indexing
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