Showing tag results for AI

Preview 2 of the .NET AI Chat Web App template introduces support for .NET Aspire and Qdrant vector database integration, making it easier to create cloud-native AI-powered chat applications with custom data.

Build AI-powered tools quickly using Azure Functions to create remote MCP servers that seamlessly integrate with GitHub Copilot and other LLM-based applications.

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.