Optimize RAG scale: Quality meets cost

Описание: Enable binary quantization with oversampling to optimize your large-scale RAG apps for the ideal balance of quality and cost. Check out Azure AI Search.
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