There are 1 repository under semantickernel topic.
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.
Embedding-driven, context-aware text chunking for Semantic Kernel and RAG workflows in .NET
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
LLM-as-judge evals as Semantic Kernel Plugins
A robust C# library for reranking search results using Semantic Kernel
Full Stack with React and Semantic Kernel showcasing Email Draft & Send Capabilties with Embeddings Vector Store in NEON
These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling
AI Agents hands on workshop
annotate by GAI, use Semantic Kernel, a blazor site.
Build chatbot for firm using Semantic Kernel, Azure Cognitive Search and OpenAI, which will answer the question based on the internal documents.
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.
An example of how to use Semantic Kernel as part of a Hotel booking website for filtering hotels using natural language.
Use case of the Model Context Protocol (MCP) using .NET and Semantic Kernel
A multi-agent restaurant food ordering system using Semantic Kernel, A2A and Azure OpenAI. Includes a backend agent server, customer chat API, and sample UI for natural language food orders. MIT licensed and open for contributions.
Manages a pool of Semantic Kernel instances with per-entry rate limiting.
Structured approach in AI and ML. Fundamentals and Advanced topics. RAG, Scoring & Profiling, LangChain & LangGraph, Certified Azure AI Engineer materials.
Provides Ollama-specific registration extensions for KernelPoolManager, enabling integration with local LLMs via Semantic Kernel.
AI-powered onboarding system using Microsoft Semantic Kernel
How to create a Smart Career Advice and Job Search Engine with Semantic Kernel
This project is a playground with Semantic Kernel and LLMs
A Local Ollama-hosted LLM Chatbot (C# & Semantic Kernel)
Providing async thread-safe singleton Semantic Kernel instances
A collection of helpful Semantic Kernel ChatHistory extension methods
Provides Gemini-specific registration extensions for KernelPoolManager, enabling integration with local LLMs via Semantic Kernel.
Provides Mistral-specific registration extensions for KernelPoolManager, enabling integration via Semantic Kernel.
Chat console using Spectre.Console and Semantic Kernel with Mistral via Ollama, including a function to list running processes