Learn how to build a Model Context Protocol (MCP) server using the C# SDK to enable seamless communication between AI models and applications.
Announcing the first preview of the .NET AI Template, for Visual Studio, Visual Studio Code, and the .NET CLI. Get started building amazing AI apps with .NET.
Microsoft.Extensions.AI.Evaluations library is now open source, and a new Azure DevOps plug-in is available to make reporting in your CI pipelines easier than ever.
Introducing a new practical course designed for the .NET community to explore the world of Generative AI.
Learn how to easily integrate DeepSeek R1 with .NET applications using the Microsoft.Extensions.AI library.
Discover how to use Microsoft.Extensions.VectorData to implement semantic search using Qdrant and Azure AI Search
Let's look at how to build and run local AI models with Aspire.
Get started with the new Microsoft.Extensions.AI.Evaluation library to kickstart your Intelligent Application eveluation journey.
Explore how to integrate GitHub's AI models, like GPT, Llama and Phi, into your .NET apps using Microsoft's Semantic Kernel for intelligent applications
We are excited to introduce the Microsoft.Extensions.VectorData.Abstractions package available in preview today. This new package provides a unified abstraction layer that enables you to integrate vector stores into your .NET applications.
