Learn how we built ConferencePulse, an AI-powered conference assistant, using .NET's composable AI stack including Microsoft.Extensions.AI, DataIngestion, VectorData, Model Context Protocol, and Microsoft Agent Framework.
Announcing the preview of open, modular data ingestion building blocks in .NET, empowering developers to build scalable AI pipelines with seamless integration, extensibility, and easy getting started experiences across the .NET ecosystem.
Microsoft Agent Framework (Preview) unifies agent creation, orchestration, tooling, hosting, and observability so any .NET developer can ship production AI agents faster.
We’re excited to announce that these extensions are now generally available, providing developers with a robust foundation to build scalable, maintainable, and interoperable AI-powered applications.
Discover the new AI Dev Gallery, a Windows application that provides interactive local AI samples, easy model downloads, and source code export - all built with .NET AI building blocks.
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.
We are excited to introduce the Microsoft.Extensions.AI package available in preview today. This new package provides a unified abstraction layer that enables you to integrate AI services into your .NET applications.
Announcing the Azure AI Inference SDK for .NET! This SDK provides easy access to a comprehensive suite of AI models in the Azure AI Model Catalog for inference tasks like chat, enabling you to effortlessly incorporate AI into your applications that align with your requirements.
