
Understanding Selection and Termination Strategy functions in .NET Semantic Kernel Agent Framework
Understanding Selection and Termination Strategy functions in .NET Semantic Kernel Agent Framework
Explore how Selection and Termination Strategy Functions in the Semantic Kernel Agent Framework for .NET manage multi-agent conversations by choosing the next speaker and deciding when to end the chat.

Automate Workflows with Microsoft Semantic Kernel Process Framework in .NET
Automate Workflows with Microsoft Semantic Kernel Process Framework in .NET
Build intelligent, event-driven workflows using Microsoft’s Semantic Kernel Process Framework to automate content creation, onboarding, and complex tasks with AI and custom logic.

Building Multi‑Agent AI Workflows with Semantic Kernel Agent Framework in .NET
Building Multi‑Agent AI Workflows with Semantic Kernel Agent Framework in .NET
Explore how multi-agent systems enable AI agents to collaborate seamlessly, enhancing efficiency and scalability. Learn to implement this approach using Microsoft's Semantic Kernel, orchestrating specialized agents to automate tasks like email drafting and approval.

Why Your AI Agent Isn't Calling Your Tools: Fixing Function Invocation Issues in Semantic Kernel
Why Your AI Agent Isn't Calling Your Tools: Fixing Function Invocation Issues in Semantic Kernel
This blog covers why your Semantic Kernel AI agent may ignore plugins and how to fix it with a simple configuration change.

Building a Model Context Protocol Server with .NET and Semantic Kernel Integration
Building a Model Context Protocol Server with .NET and Semantic Kernel Integration
Learn how to implement a Model Context Protocol (MCP) server using C# and integrate it with Semantic Kernel to enhance AI assistants with external data and tools through a standardized protocol.

Building AI Agent using Semantic Kernel Agent Framework
Building AI Agent using Semantic Kernel Agent Framework
Explore the creation of intelligent AI agents with the Semantic Kernel Agent Framework

Model Context Protocol (MCP): The New Standard for AI Integration
Model Context Protocol (MCP): The New Standard for AI Integration
MCP enables LLMs to access real-time data and execute dynamic actions with ease, reducing redundancy and maintenance overhead through standardized client-server interactions.

Boosting Developer Productivity with ChatGPT/Gemini/Claude Integration in Visual Studio
Boosting Developer Productivity with ChatGPT/Gemini/Claude Integration in Visual Studio
Boost your coding efficiency with ChatGPT/Gemini/Claude integration in Visual Studio! Learn how the free ChatGPTExtension eliminates tab switching, automates code fixes, and streamlines your workflow right inside your IDE. Maximize productivity and simplify your development process today!

From Prompt Engineering to RAG: Optimizing Product Category Classification Systems - Part 2
From Prompt Engineering to RAG: Optimizing Product Category Classification Systems - Part 2
How we enhanced our product classification system by incorporating Retrieval-Augmented Generation (RAG) to provide dataset-specific context, resulting in improved performance and reliability.