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Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
GitHub Copilot CLI-powered desktop personal assistant
workshop materials to build intelligent solutions on Open AI
An AI Solution Accelerator that speeds up the deployment of intelligent AI Solutions on Azure.
A multi-agent sample and workshop for a retail banking scenario. Implemented in both C# and Python, using Angular as Frontend!
A MCP Server for Azure AI Foundry: it's now moved to cloud, check the new Foundry MCP Server
High volume deployment of Azure Document Intelligence extraction followed by Azure AI Search Indexing
Guide for designing adaptive, scalable, and secure enterprise multi-agent systems
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
AIConfig is a config-based framework to build generative AI applications.
Learn about the Model Context Protocol
A full-stack chat application powered by Azure Cosmos DB acting as a Model Context Provider (MCP) client.
Integrate cutting-edge LLM technology quickly and easily into your apps
Sharing the learning along the way we been gathering to enable Azure OpenAI at enterprise scale in a secure manner. GPT-RAG core is a Retrieval-Augmented Generation pattern running in Azure, using …
12 Lessons to Get Started Building AI Agents
Legal Research Copilot Example Solution built with Generative AI capabilities of PostgreSQL on Azure
MSUSAzureAccelerators / Azure-Cognitive-Search-Azure-OpenAI-Accelerator
Forked from pablomarin/RAG-Agents-AcceleratorAI Agents - GPT Smart Search Engine - Bot Framework + Azure OpenAI + Azure AI Search + Azure SQL + Bing API + Azure Document Intelligence + LangChain + CosmosDB
Repository of tools/queries for managing and monitoring Azure Synapse.
📇 A simple fake data generator for C#, F#, and VB.NET. Based on and ported from the famed faker.js.
Repository to hold projects for testing different Azure PaaS services
Examples for using the Full Fidelity Change Feed private preview
SQL Server Change Stream sample using Debezium


