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はじめに Microsoft Azureが提供する検索サービス「Azure AI Search」（旧称：Azure Cognitive Search）について、基礎概念からハンズオンでの構築手順、そして昨今注目されている生成AI（RAG: Retrieval Augmen...

## 前年のお知らせ 2024 年のお知らせ 2023 年のお知らせ 2022 年のお知らせ 2021 年のお知らせ 2020 年のお知らせ 2019 年のお知らせ ## サービスのブランド変更 このサービスは、長年にわたって複数の名前を持っています。 ここでは、逆の時系列順です。 Azure AI 検索 (2023 年 11 月) Foundry Tools と顧客の期待に合わせて名前を変更しました。 Azure Cognitive Search (2019 年 10 月) サービス操作でのコグニティブ スキルと AI 処理の拡張 (省略可能) の使用を反映するように

Azure AI Search gets Agentic Retrieval preview: LLMs deconstruct queries for relevant, context-aware AI, targeting 40% better RAG performance.

Discover how to use Microsoft.Extensions.VectorData to implement semantic search using Qdrant and Azure AI Search

米Microsoftがクラウド検索サービスAzureCognitiveSearchの名称を変更した新しい名前はAzureAISearch価格体系やサービス内容に変更はない

Ground your AI agents on your organization’s knowledge, pulling from multiple sources at once, connecting the dots automatically, and getting more accurate, context-rich answers without doing manual orchestration with Foundry IQ in Microsoft Foundry. Navigate complex, distributed data across Azure stores, SharePoint, OneLake, MCP servers, and even the web, all through a single knowledge base that handles query planning and iteration for you. Reuse the Azure AI Search assets you already have, build new knowledge bases with minimal setup, and control how much reasoning effort your agents apply. As you develop, you can rely on iterative retrieval only when it improves results, saving time, tokens, and development complexity. Pablo Castro, Azure AI Search CVP and Distinguished Engineer, joins Jeremy Chapman to share how to build smarter, more capable AI agents, with higher-quality grounded answers and less engineering overhead. ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics #AzureAISearch #AgenticAI #Foundry #RAGApplications

Ground your AI agents on your organization’s knowledge, pulling from multiple sources at once, connecting the dots automatically, and getting more accurate, context-rich answers without doing manual orchestration with Foundry IQ in Microsoft Foundry. Navigate complex, distributed data across Azure stores, SharePoint, OneLake, MCP servers, and even the web, all through a single knowledge base that handles query planning and iteration for you. Reuse the Azure AI Search assets you already have, build new knowledge bases with minimal setup, and control how much reasoning effort your agents apply. As you develop, you can rely on iterative retrieval only when it improves results, saving time, tokens, and development complexity. Pablo Castro, Azure AI Search CVP and Distinguished Engineer, joins Jeremy Chapman to share how to build smarter, more capable AI agents, with higher-quality grounded answers and less engineering overhead. ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics #AzureAISearch #AgenticAI #Foundry #RAGApplications

Ground your AI agents on your organization’s knowledge, pulling from multiple sources at once, connecting the dots automatically, and getting more accurate, context-rich answers without doing manual orchestration with Foundry IQ in Microsoft Foundry. Navigate complex, distributed data across Azure stores, SharePoint, OneLake, MCP servers, and even the web, all through a single knowledge base that handles query planning and iteration for you. Reuse the Azure AI Search assets you already have, build new knowledge bases with minimal setup, and control how much reasoning effort your agents apply. As you develop, you can rely on iterative retrieval only when it improves results, saving time, tokens, and development complexity. Pablo Castro, Azure AI Search CVP and Distinguished Engineer, joins Jeremy Chapman to share how to build smarter, more capable AI agents, with higher-quality grounded answers and less engineering overhead. ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics #AzureAISearch #AgenticAI #Foundry #RAGApplications

Ground your AI agents on your organization’s knowledge, pulling from multiple sources at once, connecting the dots automatically, and getting more accurate, context-rich answers without doing manual orchestration with Foundry IQ in Microsoft Foundry. Navigate complex, distributed data across Azure stores, SharePoint, OneLake, MCP servers, and even the web, all through a single knowledge base that handles query planning and iteration for you. Reuse the Azure AI Search assets you already have, build new knowledge bases with minimal setup, and control how much reasoning effort your agents apply. As you develop, you can rely on iterative retrieval only when it improves results, saving time, tokens, and development complexity. Pablo Castro, Azure AI Search CVP and Distinguished Engineer, joins Jeremy Chapman to share how to build smarter, more capable AI agents, with higher-quality grounded answers and less engineering overhead. ► Unfamiliar with Microsoft Mechanics? As Microsoft's official video series for IT, you can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. • Subscribe to our YouTube: https://www.youtube.com/c/MicrosoftMechanicsSeries • Talk with other IT Pros, join us on the Microsoft Tech Community: https://techcommunity.microsoft.com/t5/microsoft-mechanics-blog/bg-p/MicrosoftMechanicsBlog • Watch or listen from anywhere, subscribe to our podcast: https://microsoftmechanics.libsyn.com/podcast ► Keep getting this insider knowledge, join us on social: • Follow us on Twitter: https://twitter.com/MSFTMechanics • Share knowledge on LinkedIn: https://www.linkedin.com/company/microsoft-mechanics/ • Enjoy us on Instagram: https://www.instagram.com/msftmechanics/ • Loosen up with us on TikTok: https://www.tiktok.com/@msftmechanics #AzureAISearch #AgenticAI #Foundry #RAGApplications

Multi-agent orchestration in Copilot Studio doubles the speed of the agent across complex data sets.