dotnet-semantic-kernel

What problem does it solve?

This Skill simplifies the integration of advanced AI and Large Language Model (LLM) capabilities into .NET applications, enabling developers to build intelligent features efficiently.

Core Features & Use Cases

• AI Orchestration: Set up and configure the Semantic Kernel for various AI services (Azure OpenAI, OpenAI, Ollama).
• Function Calling & Plugins: Define and integrate custom .NET functions that AI models can invoke to access real-world data and perform actions.
• Prompt Engineering: Utilize powerful templating engines like Handlebars for dynamic and context-aware prompt generation.
• Memory & RAG: Implement Retrieval-Augmented Generation patterns by integrating with vector stores for knowledge retrieval.
• Agent Framework: Build sophisticated multi-agent systems for complex task collaboration.
• Use Case: Develop a customer support chatbot that can access order history via a plugin, understand user queries through natural language prompts, and provide personalized responses by retrieving relevant information from a knowledge base.

Quick Start

Use the dotnet-semantic-kernel skill to set up a basic kernel with Azure OpenAI chat completion.