Azure / azure-quickstart-templates
Azure Quickstart Templates
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Azure Quickstart Templates
Basic sample for deploying AI agents web app with Azure AI Foundry and SDKs
Bicep is a declarative language for describing and deploying Azure resources
Basic sample for deploying chat web apps with Azure AI Foundry and SDKs
Bicep registry modules
A deployment of a secure, extensible and integrated environment for running AI Foundry workloads in Production. It simplifies the process of including essential Azure services necessary to run mission-critical AI applications and adhere to Microsoft Well Architected Framework recommendations.
The AI Landing Zone is a secure, resilient and scalable reference architecture and reference implementation in the form of bicep, terraform and portal
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.
Contains the sample application for the App Service Quickstart in Python using Flask.
This repository contains the Azure Landing Zones (ALZ) Bicep modules that help deliver and deploy the Azure Landing Zone conceptual architecture in a modular approach. https://aka.ms/alz/docs
AVD Accelerator deployment automation to simplify the setup of AVD (Azure Virtual Desktop) based on best practices
Roadmap and issues for Azure Container Apps