semantickernel

参考GraphRag使用 Semantic Kernel 来实现的dotnet版本，可以使用NuGet开箱即用集成到项目中

Open-source protocol suite standardizing LLM, Vector, Graph, and Embedding infrastructure across LangChain, LlamaIndex, AutoGen, CrewAI, Semantic Kernel, and MCP. 3,330+ conformance tests. One protocol. Any framework. Any provider.

This is a Azure OpenAI book for .NET Developer

This is Microsoft Fabric Copilot Workshop

Embedding-driven, context-aware text chunking for Semantic Kernel and RAG workflows in .NET

quick way to build a private large language model server and provide OpenAI-compatible interfaces | 快速搭建私有大语言模型（LLM）服务，提供OpenAI兼容接口

Learn about Semantic Kernel, Microsoft's AI orchestration library. Build and interact with agents, plugins, and plans using various providers.

AgentBrook

This repository contains the example code from the Medium blog post titled Step-by-Step Guide to Develop AI Multi-Agent System Using Microsoft Semantic Kernel and GPT-4. The example demonstrates how to create an AI multi-agent system using .NET8 and Semantic Kernel SDK.

This is the official repository for the examples built throughout Programming Large Language Models with Azure Open AI.

ChatGPT-like Application using RAG pattern that allows to ask question to my own documents - I Used Semantic Kernel to integrate a LLM (OpenAI) using C# to orchestrate AI pluggins (Azure Cognitive Services). For the document embeddings I used Qdrant for the vector database and Pdfpig to extract the content from the pdfs

A robust C# library for reranking search results using Semantic Kernel

Leveraging LLMs to Create and Run dotnet Projects Faster and Easier.

Full Stack with React and Semantic Kernel showcasing Email Draft & Send Capabilties with Embeddings Vector Store in NEON

LLM-as-judge evals as Semantic Kernel Plugins

Use case of the Model Context Protocol (MCP) using .NET and Semantic Kernel

AI Agents hands on workshop

Structured approach in AI and ML. Fundamentals and Advanced topics. RAG, Scoring & Profiling, LangChain & LangGraph, Certified Azure AI Engineer materials.

These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling

annotate by GAI, use Semantic Kernel, a blazor site.