![]() The Document Generative AI solution - leveraging OpenAI’s latest AI language models - ingests files for tasks like report summarization, value extraction, knowledge mining and generating new types of documents. (Recall that the Azure OpenAI Service is Microsoft’s fully managed, enterprise-focused offering designed to give businesses access to AI tech from OpenAI - with whom Microsoft has a close commercial partnership - with added controls and governance features.) “The integration of Vector search seamlessly extends to other capabilities of Azure Cognitive Search, including faceted navigation, filters and more.”Įlsewhere across Azure, Microsoft is launching what it’s calling the Document Generative AI solution, which integrates Microsoft’s existing AI-powered document processing services, including Azure Form Recognizer, with the Azure OpenAI Service. “Vector search is integrated with Azure AI, allowing customers to build search-enabled, chat-based apps, convert images into vector representations using Azure AI Vision retrieve relevant information from large data sets to help automate processes and workflows,” the company writes in a blog post. The company notes that it can be used in apps and services to generate personalized responses in natural language, deliver product recommendations and identify data patterns. Microsoft’s flavor of vector search offers “pure” vector search, hybrid retrieval and “sophisticated” reranking. ![]() Vectors enable machines to structure and make sense of data, enabling them to understand, for example, that words close together in “vector space” - like “king” and “queen” - are related and quickly surface them from a database of millions of words.Ĭompanies like Qdrant and SeMI Technologies use vector search to power their database services, as do tech giants like Amazon and Google. ![]() Vectorization, an increasingly popular technique in search, involves converting words or images into vectors, or series of numbers, that encode their meaning - allowing them to be processed mathematically. Available in preview through Azure Cognitive search, Vector Search uses machine learning to capture the meaning and context of unstructured data, including images and text, to make search faster. At its annual Inspire conference, Microsoft announced a number of new AI features headed to Azure, perhaps the most notable of which is Vector Search. ![]()
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