11 Lessons to Get Started Building AI Agents
Five lessons, learn how to really apply AI to your .NET Applications
C# implementation of LangChain. We try to be as close to the original as possible in terms of abstractions, but are open to new entities.
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.
A new-age AI desktop tool
A curated list of 🌌 Azure OpenAI, 🦙 Large Language Models (incl. RAG, Agent), and references with memos.
🔥 Building composable LLM applications & workflow with Java.
MCPSharp is a .NET library that helps you build Model Context Protocol (MCP) servers and clients - the standardized API protocol used by AI assistants and models.
Immersive workshop showcasing the remarkable potential of integrating SoTA foundation models to enhance product experiences and streamline backend workflows. Leverages Microsoft's Copilot stack, Semantic Kernel and Azure primitives to offer an engaging and comprehensive introduction to AI-infused app development and deployment
A collection of C# notebooks to get you started with Semantic Kernel quickly.
skUnit is a testing tool for .NET AI units, such as IChatClient and SK kernels.
Tutorial for ChatGPT + Enterprise Data with Semantic Kernel, OpenAI, and Azure Cognitive Search
Microsoft Semantic Kernel Assistants This enables the usage of assistants for the Semantic Kernel. It provides different scenarios for the usage of assistants such as: Assistant with Semantic Kernel plugins Multi-Assistant conversation
A repository that showcases the native VECTOR type in Azure SQL Database to perform embeddings and RAG with 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.
Some experiments around AI to learn.
A creative writing multi-agent solution to help users write articles using Aspire and Semantic Kernel
Add a description, image, and links to the semantic-kernel topic page so that developers can more easily learn about it.
To associate your repository with the semantic-kernel topic, visit your repo's landing page and select "manage topics."