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Merge pull request #266440 from HeidiSteen/heidist-docs
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articles/search/vector-search-overview.md

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@@ -63,7 +63,7 @@ Vector search is available in:
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Scenarios for vector search include:
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+ **Vector database**. Azure AI Search stores the data that you query over. Use it as a pure vector store any time you need long-term memory or a knowledge base, or grounding data for [Retrieval Augmented Generation (RAG) architecture](https://aka.ms/what-is-rag), or any app that uses vectors.
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+ **Vector database**. Azure AI Search stores the data that you query over. Use it as a [pure vector store](vector-store.md) any time you need long-term memory or a knowledge base, or grounding data for [Retrieval Augmented Generation (RAG) architecture](https://aka.ms/what-is-rag), or any app that uses vectors.
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+ **Similarity search**. Encode text using embedding models such as OpenAI embeddings or open source models such as SBERT, and retrieve documents with queries that are also encoded as vectors.
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