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Azure AI Search now supports AI Vision multimodal and AI Studio embedding models

Keeping pace with AI representation learning requires continuous integration and adaptation to new advancements. In line with this, we’re excited to announce new updates to Azure AI Search‘s integrated vectorization (preview) feature. It now supports native multimodal search capabilities, that seamlessly manage both text and images during indexing and querying. Moreover, we’ve incorporated support for […]

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Improving RAG performance with Azure AI Search and Azure AI prompt flow in Azure AI Studio

Content authored by: Arpita Parmar    Introduction If you’ve been delving into the potential of large language models (LLMs) for search and retrieval tasks, you’ve probably encountered Retrieval Augmented Generation (RAG) as a valuable technique. RAG enriches LLM-generated responses by integrating relevant contextual information, particularly when connected to private data sources. This integration empowers the

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Introducing the “Chat with your data” solution accelerator – now available on GitHub

With gratitude for the GitHub repository developers: Fabrizio Ruocco, Principal Tech Lead, AI Global Black Belt, Microsoft Clemens Siebler, Senior Tech Lead, AI Global Black Belt, Microsoft   Cognitive Search to create an engaging, conversational search experience Advancements in Large Language Models (LLMs), such as OpenAI’s ChatGPT, have revolutionized the way companies handle information retrieval

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Azure Cognitive Search and LangChain: A Seamless Integration for Enhanced Vector Search Capabilities

Content and LangChain integration credit to: Fabrizio Ruocco, Principal Tech Lead, AI Global Black Belt, Microsoft   Introduction In a fast-paced world, the ability to access relevant and accurate information quickly is critical for enhancing productivity and making informed decisions. With an ever-growing volume of digital data, being able to find the right piece of

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