Using Azure AI Foundry SDK for your AI apps and agents
Design, customize and manage your own custom applications with Azure AI Foundry right from your code. With Azure AI Foundry, leverage over 1,800 models, seamlessly integrating them into your coding environment to create agents and tailored app experiences. Utilize Retrieval Augmented Generation and vector search to enrich responses with contextual information, as well with built-in services to incorporate cognitive skills such as language, vision, and safety detection.
Dan Taylor, Principal Product Architect for Azure AI Foundry SDK, also shares how to streamline your development process with tools for orchestration and monitoring. Use templates to simplify resource deployment and run evaluations against large datasets to optimize performance. With Application Insights, gain visibility into your app's metrics, enabling data-driven decisions for continuous improvement.
► QUICK LINKS:
00:00 - Manage AI apps in Azure AI Foundry
00:27 - What's in the Azure AI Foundry
01:37 - Ground apps using your own data
03:03 - Retrieval Augmented Generation
03:48 - Using vector search
04:17 - Set up your coding environment
06:11 - How to build AI apps in code
07:16 - Using traces
07:45 - Evaluating performance against large data sets
08:19 - Options for monitoring your AI apps
08:58 - Wrap up
► Link References Find the Azure AI Foundry at https://ai.azure.com
Check out our code samples at https://aka.ms/AIAppTemplates
► 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
Published on:
Learn more
Made for tech enthusiasts and IT professionals. Expanded coverage of your favorite technologies across Microsoft; including Office, Azure, Windows and Data Platforms. We'll even bring you broader topics such as device innovation with Surface, machine learning, and predictive analytics.
Related posts
Introducing Azure HorizonDB - PostgreSQL
Run enterprise Postgres workloads on Azure HorizonDB with around 3x the throughput of self-managed deployments — zone-resilient by default, no...
Azure DevOps and GitHub: Journeying into the AI Era
AI is changing how software gets planned, built, and reviewed. As teams adopt agentic development, the platform underneath those workflows mat...
Introducing azure-functions-skills: An AI-Era Workspace for Azure Functions (Preview)
azure-functions-skills gives GitHub Copilot CLI, Claude Code, Codex CLI, and VS Code the skills, MCP configuration, hooks, and instructions ne...
Announcing the Public Preview of Integrated Embeddings in Azure Cosmos DB: Build AI Apps With Embeddings That Stay in Sync
AI applications built on Azure Cosmos DB depend on embeddings for grounded results. Keeping them in sync with your data is the hard part: it m...
Introducing OmniVec: An Open-Source Embedding Platform for AI Apps on Azure
Today we are open-sourcing OmniVec, a platform for building and operating the embedding pipelines that keep the vector representation of your ...