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articles/search/cognitive-search-defining-skillset.md

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---
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title: Create a skillset
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titleSuffix: Azure Cognitive Search
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description: A skillset defines data extraction, natural language processing, and image analysis steps. A skillset is attached to indexer. It's used to enrich and extract information from source data for use in Azure Cognitive Search.
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description: A skillset defines content extraction, natural language processing, and image analysis steps. A skillset is attached to indexer. It's used to enrich and extract information from source data for use in Azure Cognitive Search.
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author: HeidiSteen
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ms.author: heidist
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ms.service: cognitive-search
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ms.topic: conceptual
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ms.date: 07/14/2022
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ms.date: 08/08/2023
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# Create a skillset in Azure Cognitive Search

articles/search/cognitive-search-working-with-skillsets.md

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ms.service: cognitive-search
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ms.custom: ignite-2022
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ms.topic: conceptual
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ms.date: 08/08/2023
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# Skillset concepts in Azure Cognitive Search

articles/search/query-odata-filter-orderby-syntax.md

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ms.author: beloh
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articles/search/search-faceted-navigation.md

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Facets are dynamic and returned on a query. A search response brings with it all of the facet categories used to navigate the documents in the result. The query executes first, and then facets are pulled from the current results and assembled into a faceted navigation structure.
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In Cognitive Search, facets are one layer deep and can't be hierarchical. If you aren't familiar with faceted navigation structured, the following example shows one on the left. Counts indicate the number of matches for each facet. The same document can be represented in multiple facets.
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In Cognitive Search, facets are one layer deep and can't be hierarchical. If you aren't familiar with faceted navigation structures, the following example shows one on the left. Counts indicate the number of matches for each facet. The same document can be represented in multiple facets.
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:::image source="media/search-faceted-navigation/azure-search-facet-nav.png" alt-text="Screenshot of faceted search results.":::
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* Short descriptive values (one or two words) that will render nicely in a navigation tree
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The contents of a field, and not the field itself, produces the facets in a faceted navigation structure. If the facet is a string field *Color*, facets will be blue, green, and any other value for that field.
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The values within a field, and not the field name itself, produces the facets in a faceted navigation structure. If the facet is a string field named *Color*, facets will be blue, green, and any other value for that field.
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As a best practice, check fields for null values, misspellings or case discrepancies, and single and plural versions of the same word. By default, filters and facets don't undergo lexical analysis or [spell check](speller-how-to-add.md), which means that all values of a "facetable" field are potential facets, even if the words differ by one character. Optionally, you can [assign a normalizer](search-normalizers.md) to a "filterable" and "facetable" field to smooth out variations in casing and characters.
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"concierge"
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],
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"ParkingIncluded": false,
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. . .
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}
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]
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}
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```
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## Facets syntax

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