Azure-Samples / get-started-with-ai-agents
Basic sample for deploying AI agents web app with Azure AI Foundry and SDKs
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Basic sample for deploying AI agents web app with Azure AI Foundry and SDKs
Azure Quickstart Templates
Basic sample for deploying chat web apps with Azure AI Foundry and SDKs
This sample has the full End2End process of creating RAG application with Prompty and Azure AI Foundry. It includes GPT-4 LLM application code, evaluations, deployment automation with AZD CLI, GitHub actions for evaluation and deployment and intent mapping for multiple LLM task mapping.
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.
Bicep is a declarative language for describing and deploying Azure resources
Bicep registry modules
The AI Landing Zone is a secure, resilient and scalable reference architecture and reference implementation in the form of bicep, terraform and portal
Contains the sample application for the App Service Quickstart in Python using Flask.
Roadmap and issues for Azure Container 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 Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Shows how to use the Scanners
Clean Architecture Solution Template for ASP.NET Core