Microsoft has updated its Azure AI Search service to increase storage capacity and vector index size at no additional cost, a move it said will make it more economical for enterprises to run generative AI-based applications.
Formerly known as Azure Cognitive Search, the Azure AI Search service connects external data stores containing un-indexed data with an application that sends queries or requests to a search index. It consists of three components—a query engine, indexes, and the indexing engine—and is mostly used in retrieving information to enhance the performance of generative AI, a process known as retrieval-augmented generation (RAG).
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