Vectorization transforms data into vector representations — these representations have key properties, primarily distance. Data points are arranged closer or farther apart based on their conceptual meanings. A vector search retrieves data stored in vector spaces based on a query.
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Azure AI Search supports vector search, handling all the intermediary steps and processes required. In conjunction with OpenAI, it offers further advanced vector search capabilities, producing highly accurate results over large datasets quickly, securely, and scalably.
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Accessing Vector Search with Azure AI Search
In Azure AI Search, vector search is available for all tiers and regions. You can perform vector search through the Azure portal, REST APIs, or SDKs.
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Reviewing Embedding Models on Azure AI portal
Embedding models are available for various data types, including words, paragraphs, documents, emoji, images, and audio. Currently, you can create models based on:
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