Semantic Kernel (SK) is a lightweight SDK enabling integration of AI Large Language Models (LLMs) with conventional programming languages.

Exemplo em .NET 9 de Console Application que faz uso do projeto Semantic Kernel, com integração com soluções de IA como Azure Open AI e Ollama na interação com um servidor MCP - utilizei o Microsoft Learn Docs MCP Server para testes. Inclui Docker Compose para criação do ambiente de testes com os serviços de monitoramento do Jaeger + OpenTelemetry.

A powerful and extensible graph-based execution framework built on top of Microsoft's Semantic Kernel, designed for building sophisticated AI workflows, multi-agent systems, and intelligent applications.

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AI-powered Q&A over investment fund factsheets (PRIIP/KID documents). Full-stack RAG pipeline with semantic search, natural language answers with source citations, and near-zero hosting costs on Azure free tiers.

repo containing all code+docs for the semantic kernel

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Architecture documentation for the Python implementation of Semantic Kernel

This is snippet to generate data for the RAG stack for the side project.

AI Agent that reads Microsoft Office docs and SQL Server data to answer user questions via streaming chat. Built with .NET 9, Semantic Kernel, Kernel Memory, Azure OpenAI, and React/Vite.