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As the landscape of AI continues to evolve, meeting users where they are is vital. We want to spotlight the newly released Microsoft 365 Agents SDK and its seamless integration with Semantic Kernel. This powerful combination empowers developers to create robust AI agents capable of operating across multiple channels, engaging users wherever they ar...

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...

As we continue to empower developers in embedding AI into their workflows, we are thrilled to announce significant updates to the Microsoft Semantic Kernel's Process Framework. Building on our introductory blog, we’ve made enhancements that further streamline business process automation and AI integration and help you to be successful with the Sema...

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...

As organizations look to enhance efficiency and decision-making, the integration of AI into business processes has become increasingly important. The new Process Framework for Microsoft Semantic Kernel empowers developers to seamlessly embed AI into their workflows, providing a structured approach to optimizing daily operations. Not sure what a ...

The term "agent" has become a popular term within the industry. There have many different definitions, but at their core, they consist of a system prompt (i.e., a persona), plugins, and an ability to automatically reason and create plans to address user goals. Up until today, we've demonstrated how you could use components of Semantic Kernel to ...