Showing tag results for Microsoft.Extensions.AI

The new AG-UI .NET SDK enables .NET services to expose and consume interoperable agent endpoints using Microsoft.Extensions.AI.

Route requests across models and providers natively in Microsoft.Extensions.AI with RoutingChatClient, SemanticRoutingChatClient, and FailoverChatClient — new experimental primitives for content-based routing, failover, and custom routing policies.

Build a live speech-to-text app in C# with Foundry Local, a compact Nemotron model, and local model lifecycle management.

Announcement of Version 2 of Generative AI for Beginners .NET, a free course rebuilt for .NET 10 with Microsoft.Extensions.AI, updated RAG patterns, and new agent framework content across five structured lessons for building production-ready AI apps.

Learn how Microsoft.Extensions.AI provides a unified API for building intelligent .NET applications with any LLM provider - one interface, endless possibilities, with built-in middleware, telemetry, structured outputs and more.

Introducing Agent Quality and NLP evaluators in the Microsoft.Extensions.AI.Evaluation libraries.

Announcing content safety evaluations and other imporvements in the Microsoft.Extensions.AI.Evaluation libraries.

Discover how to use Microsoft.Extensions.VectorData to implement semantic search using Qdrant and Azure AI Search

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.