AI
Distributed multi-agent systems with Aspire and Microsoft Agent Framework
Learn how Aspire, Microsoft Agent Framework, and Microsoft Foundry model, run, observe, and publish a distributed multi-agent AlpineAI ski resort demo.
Microsoft Build 2026 recap: vision, launches, and top sessions
Catch up on Microsoft Build 2026 with the vision lead-off, top developer announcements, and must-watch sessions across the Microsoft developer ecosystem.
.NET at Microsoft Build 2026: Must watch sessions
Catch up on all the .NET sessions from Microsoft Build 2026 covering .NET 11, union types in C#, AI building blocks, the agentic web, .NET MAUI, and more!
Aspire Multi-repo Rollout at Scale with Agentic AI
This is part 2 blog of the windows 365 integration journey with Aspire. This blog focus to show how Windows 365 scaled Aspire adoption with reliability patterns and an agentic AI rollout system across 50+ repos.
How we Decide Between Keyword and Hybrid Search: 5 Enterprise Evaluation Criteria
A data-driven framework we use in enterprise deployments to decide between vector-only keyword and hybrid search, based on five measurable evaluation criteria.
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 needed to create, diagnose, deploy, and validate Azure Functions projects end-to-end.
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 means building and operating a separate data pipeline to track changes, call an embedding model, and write the results back to Azure Cosmos DB. In practice, that pipeline also has to handle failures and retries, throttling, scaling, and monitoring as your data and traffic grow. Integrated Embeddings in Azure Cosmos DB, now in Public Preview, removes that heavy lifting. Azure Cosmos DB automatically generates and maintains the embeddings for you as items are written and upda...
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 operational data in sync as it changes. You register data sources, embedding model(s), vector stores (destination), and OmniVec does the rest: initial backfill, change tracking, model invocation to geenrate, and writing them back to your vector store. We are shipping this with support for Azure Cosmos DB, PostgreSQL, SQL Server (source and destination), and Azure Blob Storage (destination). You deploy OmniVec in your own Azure subscription, and use the web UI, CLI, or the ...
Public Preview: AI-powered Azure Cosmos DB Migration Assistant for RDBMS to NoSQL
Today, we are excited to announce the public preview of the Azure Cosmos DB Migration Assistant for RDBMS to NoSQL, now available in the Azure Cosmos DB extension for Visual Studio Code. 📈 Modernize with confidence Why migrate from RDBMS to Azure Cosmos DB? Modernizing relational workloads has traditionally been complex, time-consuming, and risky. This new AI-assisted, phase-based workflow replaces manual analysis with structured recommendations and helps you navigate key design choices such as denormalization, partitioning, and NoSQL data modeling. It helps you move from relational databases (SQL Se...
Azure Cosmos DB MCP Toolkit Is Now Generally Available — Bringing Your Database to AI Agents at Scale
Since we introduced the Azure Cosmos DB MCP Toolkit at Ignite 2025 in preview, the response has been clear: developers want a straightforward way to connect AI agents to their production databases. Customers asked for stability, broader embedding provider support, and a smoother path from experimentation to production. Today, we're announcing the general availability of the Azure Cosmos DB MCP Toolkit (v1.1.2), now with deeper Microsoft Foundry integration, multi-provider embedding support, and the reliability improvements you asked for. The Problem: Getting AI Agents to Talk to Your Data Is Harder Than I...