The GPT-RAG Orchestrator service is an agentic orchestration layer built on Microsoft Foundry Agent Service and the Microsoft Agent framework. It enables agent-based RAG workflows by coordinating multiple specialized agents to collaboratively generate accurate, context-aware responses for complex user queries.

This repository provides the user interface for the GPT-RAG solution, enabling seamless interaction with the Orchestrator backend. Built with Chainlit, it supports customization, theming, and ensures a smooth end-user experience.

AI Landing Zone Bicep templates for deploying a secure, modular baseline for AI applications and agents on Azure.

Azure Minimum Permissions Finder

The GPT-RAG Data Ingestion service automates processing of diverse documents—PDFs, images, spreadsheets, transcripts, and SharePoint—readying them for Azure AI Search. It applies smart chunking, generates text and image embeddings, and enables rich, multimodal retrieval.

gpt-rag-mcp

Azure Container Networking Solutions for Linux and Windows Containers

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 Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.

Bicep registry modules

Agent Baker is aiming to provide a centralized, portable k8s agent node provisioning lib as well as rich support on different OS image with optimized k8s binaries.