fsunavala-msft

Using Cohere Binary Embeddings in Azure AI Search and Command R/R+ Model via Azure AI Studio

In April 2024, we proudly announced our partnership with Cohere, allowing customers to seamlessly leverage Cohere models via the Azure AI Studio Model Catalog, as part of the Models as a Service (MaaS) offering. At Build 2024, Azure AI Search launched support for Binary Vectors. In this blog, we are excited to continue from our […]

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Unlocking the Potential: The Benefits and Requirements of a Vector Database

Generative AI is revolutionizing our interaction with data, enabling dynamic new ways to engage with information—from conversational interfaces to generating content like code snippets or summaries. Vector databases, particularly pivotal in this evolution, play a critical role in enabling these sophisticated interactions. Understanding the value of vector databases  Vector databases are responsible for advanced data

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Leveraging Cohere Embed V3 int8 embeddings with Azure AI Search

Last week, we announced our partnership with Cohere, enabling customers to easily leverage Cohere models via Azure AI Studio Model Catalog, including Cohere’s latest LLM – Command R+. Today, we are thrilled to announce that you can store and search over Cohere‘s latest Embed V3 int8 embeddings using Azure AI Search. This capability offers significant

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