#Semantic-kernel
Showing 22 of 22 repositories tagged #semantic-kernel, ranked by stars
12 Lessons to Get Started Building AI Agents
A C#/.NET library to run LLM (🦙LLaMA/LLaVA) on your local device efficiently.
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.
🔥 Building composable LLM applications & workflow with Java.
A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenAI.
🌟DataTonic : A Data-Capable AGI-style Agent Builder of Agents , that creates swarms , runs commands and securely processes and creates datasets, databases, visualisations, and analyses.
A sample Chatbot in C# using Microsoft Agent Framework
Some experiments around AI to learn.
A multi-agent chatroom for AutoGen agents
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
A ChatGPT plugin built with Semantic Kernel that queries a database via natural language. Winner of Microsoft's first Semantic Kernel hackathon in the "Most Useful for the Enterprise" category.
AI-driven peds for GTA V/FiveM using GPT, enhancing gameplay with realistic, engaging autonomous agents on .NET.
A lightweight implementation of Kernel Memory as a Service
A collection of Plugins and example console application built on the Semantic Kernel
Embedding-driven, context-aware text chunking for Semantic Kernel and RAG workflows in .NET
Learning Azure AI with APIM, Semantic Kernel and LangChain.
A sample for implementing retrieval augmented generation using Azure Open AI to generate embeddings, Azure Cosmos DB for MongoDB vCore to perform vector search, and semantic kernel.
Typical RAG implementation using Semantic Kernel, Semantic Memory and Aspire
A simple Semantic Kernel semantic function debugging tool.
Example how to implement a question & answer flow using semantic search with OpenAI - by using C# & Semantic Kernel
'Talk to Your Factory' demo leveraging Edge (Azure IoT Operations), Cloud (Microsoft Fabric), and a Factory Agent (Azure OpenAI), to streamline factory operations. It allows real-time, natural language communication with factory systems, helping operators quickly identify issues, boost efficiency, and minimize downtime.