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Merge pull request #249478 from HeidiSteen/heidist-docs
[azure search] misc fixes
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articles/search/cognitive-search-defining-skillset.md

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title: Create a skillset
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titleSuffix: 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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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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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: 08/08/2023
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ms.date: 07/14/2022
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# Create a skillset in Azure Cognitive Search

articles/search/vector-search-overview.md

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## What's vector search in Cognitive Search?
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Vector search is a new capability for indexing, storing, and retrieving vector embeddings from a search index. You can use it to power similarity search, multi-modal search, recommendations engines, or applications implementing the [Retrieval Augmented Generation (RAG) architecture](https://arxiv.org/abs/2005.11401).
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Vector search is a new capability for indexing, storing, and retrieving vector embeddings from a search index. You can use it to power similarity search, multi-modal search, recommendations engines, or applications implementing the [Retrieval Augmented Generation (RAG) architecture](https://aka.ms/what-is-rag).
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The following diagram shows the indexing and query workflows for vector search.
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