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 .NET 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.
Go beyond a simple demo app that demonstrates a chat bot and explore a real-world scale application that is infused with AI and illustrates the value of intelligent apps with features like semantic search, summarization, classification, sentiment scoring, chatbot, test data generation, evaluation tool, and E2E testing.
Find out how Visual Studio integrates GitHub Copilot, architectural detail, .NET implementation, and the importance of the indexing service for providing context-aware AI code suggestions.
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.
Discover the stable release of the official OpenAI library for .NET, empowering developers to integrate cutting-edge AI models, including GPT-4o & o1, into their .NET applications.
Get started building AI applications in .NET using the Pinecone Vector DB and the Pinecone .NET SDK.
