Azure / bicep-registry-modules
Bicep registry modules
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Bicep registry modules
Azure Quickstart Templates
Clean Architecture Solution Template for ASP.NET Core
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.
Basic sample for deploying chat web apps with Azure AI Foundry and SDKs
Bicep is a declarative language for describing and deploying Azure resources
The AI Landing Zone is a secure, resilient and scalable reference architecture and reference implementation in the form of bicep, terraform and portal
Basic sample for deploying AI agents web app with Azure AI Foundry and SDKs
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
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.