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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.
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.
GenAI Chat is an AI-powered chatbot designed to get help on your files from LLM(Large languare Models) to surpass the functionality of ChatGPT and offering a seamless conversational experience.
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
These are the Microsoft Semantic Kernel Workshop notebooks. It addresses AI agents, agents collaboration and, of course, kernel, plugins, planners and function calling