Use your existing Azure AI Search setup. #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

Use your existing Azure AI Search setup. #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… MSFTMechanics #AzureAI #MachineLearning #AIAgents

Build AI agents fast. #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

Build AI agents fast. #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,… MSFTMechanics #AI #ArtificialIntelligence #MachineLearning

Increase answer accuracy with Foundry IQ. #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

Increase answer accuracy with Foundry IQ. #AzureAISearch #AgenticAI #Foundry #RAGApplications: Ground your AI agents on your organization’s knowledge, pulling from multiple sources at once, connecting the dots automatically, and… MSFTMechanics #AzureAI #ArtificialIntelligence #MachineLearning

Save time and resources. Keep answers accurate. #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

Save time and resources. Keep answers accurate. #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… MSFTMechanics #AzureAI #AIAgents #KnowledgeManagement

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

Microsoft Launches Agentic Retrieval Preview for Azure AI Search

#AI #Microsoft #AzureAISearch #AgenticRetrieval #MicrosoftAI #ConversationalAI #Azure #Developer #RAG #LLM #AzureOpenAI #SemanticSearch #AIagents

winbuzzer.com/2025/05/31/m...

We Built an #Agentic App with #Declarative #Agent Using #TeamsToolkit – No Code Required! No middleware! just using instructions.

- Retrieve and create #SharePoint List items using the #MicrosoftGraph API.
- Fetch data from #AzureAISearch.

Thanks @lee-ford.co.uk.
🎥 Video here: lnkd.in/geWZ5PQc

The next #VirtualBostonAzureAI event is happening this Friday 4/25 at 12pm EDT!
Alan Smith will delve into the intriguing topic of Embeddings and Vectors for #AzureAISearch. It's a talk you definitely don't want to miss.
RSVP here: buff.ly/o3VtdeB

BREAKING change reported on #AzureAISearch affecting ExamineX. A new rollout is underway globally that is affecting certain regions. We're in contact with Azure support. Ticket can be tracked here github.com/SDKits/Examine… UPDATE Azure support is looking into the regression, more news tomorrow.

Exploring Microsoft.Extensions.VectorData with Qdrant and Azure AI Search - .NET Blog Discover how to use Microsoft.Extensions.VectorData to implement semantic search using Qdrant and Azure AI Search

Exploring Microsoft.Extensions.VectorData with Qdrant and Azure AI Search by Bruno Capuano.

devblogs.microsoft.com/dotnet/vector-data-qdran...
#ai #dotnet #azureaisearch #cloud #azure #azureai

/4 That includes:

▶️ What's new with custom #Microsoft365Copilot Agents
▶️ What's new for developers in #CopilotStudio (yes, not just makers!)
▶️ The new Microsoft 365 Agents SDK
▶️ The new[ish] #AzureAIFoundry + #AzureAISearch & #AzureAIAgentsService

That's a lot of #AzureAI !!!

#Azure #MachineLearning supports two vector stores that contain your supplemental data used in a #RAG workflow: #Faiss & #AzureAISearch learn.microsoft.com/en-us/azure/...