Showing category results for .NET

We are thrilled to announce the launch of Microsoft.Extensions.VectorData for .NET! Our collaboration with the .NET team since the debut of Semantic Kernel has resulted in a powerful new feature that aligns with the best practices of both current and upcoming .NET releases.  This is the second new package as part of this collaboration.  You can lea...

Diving into Function Calling and its JSON Schema in Semantic Kernel .NET Function-calling is one of the most exciting features of certain Large Language Models (LLMs), enabling developers to execute code directly in response to user queries. In Semantic Kernel, we streamline the process by allowing you to use built-in plugins or integrate your own...

Today we're featuring a sample application, called eShop. You can read the entire blog post and steps for running the application here: eShop infused with AI - a comprehensive intelligent app sample - .NET Blog Below, we have a brief summary of eShop and the integration with Semantic Kernel. Introducing eShop “support with AI” edition The AI-e...

The Semantic Kernel Agent Framework revolutionizes how developers can interact with Large Language Models (LLMs) by embedding dynamic, multi-step agents into their applications. By combining the power of LLMs with structured programming, the framework allows developers to build intelligent systems that can autonomously carry out tasks, reason based...

We are thrilled to announce the launch of Microsoft.Extensions.AI for .NET! Our collaboration with the .NET team since the debut of Semantic Kernel has resulted in a powerful new feature that aligns with the best practices of both current and upcoming .NET releases. With the introduction of Microsoft.Extensions.AI, Independent Software Vendors (...

In one of the previous posts, we demonstrated how to use JSON Schema to get Structured Output with OpenAI and Python version of Semantic Kernel: Using JSON Schema for Structured Output in Python for OpenAI Models. In this post, we will explore how to implement a JSON Schema-based structured output using .NET version of Semantic Kernel. For mo...

We are happy to announce release of the new function-calling capabilities available in Semantic Kernel v1.20 (.NET). The new capabilities incorporates the best parts of the existing function-calling, such as ease of use, and improves on it by making it more extensible and reusable. Function calling allows Plugin descriptions to be passed into...

Today's we'd like to share a blog post from two members of the .NET team, Jordan Matthiesen and Luis Quintanilla, focused on Building Generative AI apps with .NET 8 - .NET Blog (microsoft.com). The future of AI is here, and .NET is ready for it! With .NET 8, you can create amazing applications that integrate language models in your new and exist...

Hello, everyone! In the fast-paced world of technology, using artificial intelligence to get more out of your data is becoming essential. Azure OpenAI on Your Data is a feature that helps businesses do just that. It combines the advanced AI models from OpenAI with the strong data management tools of Azure, allowing you to use AI with your own da...

Hello, everyone! Today, we are featuring a guest author from another team at Microsoft on our blog. Today’s topic will explore how we can build AI applications with ease using the Semantic Kernel and .NET Aspire. So, if you're excited about creating intelligent, scalable, and efficient apps, keep reading. Understanding Semantic Kernel and .NET Asp...