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Optimize search costs with smart quantization

Microsoft Mechanics
358K subscribers
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299 views 5 months ago #AzureAISearch
Move massive vector indexes into the quantized realm with Azure AI Search. Shrink index size using scalar or binary quantization, Matryoshka Representation Learning & oversampling to control cost, while maintaining high accuracy. Check it out. Enhance your apps with retrieval-augmented generation (RAG) capabilities and the power of Azure AI Search. Manage large-scale datasets while maintaining high-quality search results by leveraging binary quantization, oversampling, and Matryoshka Representation Learning (MRL). Experience significant cost savings and improved performance by optimizing your vector indexes without compromising quality. Azure AI Search enables seamless integration of semantic ranking and hybrid search functionalities, allowing you to deliver personalized responses and insights.  #AzureAISearch ...more
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Optimize search costs with smart quantization
9Likes
299Views
Nov 72024
Move massive vector indexes into the quantized realm with Azure AI Search. Shrink index size using scalar or binary quantization, Matryoshka Representation Learning & oversampling to control cost, while maintaining high accuracy. Check it out. Enhance your apps with retrieval-augmented generation (RAG) capabilities and the power of Azure AI Search. Manage large-scale datasets while maintaining high-quality search results by leveraging binary quantization, oversampling, and Matryoshka Representation Learning (MRL). Experience significant cost savings and improved performance by optimizing your vector indexes without compromising quality. Azure AI Search enables seamless integration of semantic ranking and hybrid search functionalities, allowing you to deliver personalized responses and insights.  #AzureAISearch

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Microsoft Mechanics

358K subscribers