semantickernel

基于.Net8+AntBlazor+SemanticKernel 和KernelMemory 打造的AI知识库/智能体，支持本地离线AI大模型。可以不联网离线运行。支持aspire观测应用数据

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

This is a Azure OpenAI book for .NET Developer

This is Microsoft Fabric Copilot Workshop

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.

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

AgentBrook

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

LLM-as-judge evals as Semantic Kernel Plugins

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.

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

AI Agents hands on workshop

Build chatbot for firm using Semantic Kernel, Azure Cognitive Search and OpenAI, which will answer the question based on the internal documents.

An example of how to use Semantic Kernel as part of a Hotel booking website for filtering hotels using natural language.

This project serves as an interactive tutorial series showcasing the integration of Azure Durable Functions with Semantic Kernel, enhanced with a Flask CLI frontend. Each part of the series introduces new functionalities, from simple Q&A agents to complex orchestrations, demonstrating the power of combining cloud computing with AI.

OpenAI and ChatGPT meet .Net