
LLM Chat Memory with Azure Managed Redis
azd init -t Redis_LLMmemory
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About this templateEnable intelligent, memory-enhanced LLM chat experiences using Azure Managed Redis. This template demonstrates how to persist and recall user conversations using AMR as a vector database or key-value store—ideal for building contextual, stateful AI assistants. Built with Azure Developer CLI (azd) for streamlined deployment.

Prerequisites
Sign up for an Azure account.
Request access to Azure OpenAI Service.
Have the Azure permissions required to deploy.
Architecture
Resources includedThis template deploys the following resources.
Microsoft FoundryAzure | The AI app and agent factory | AI + Machine Learning |
Azure App ServiceAzure | Quickly create powerful cloud apps for web and mobile. | Compute |
Summary
Created by
Last updated
Languages
Models
Tags
Python
GPT-4 Omni
Interactive Chat
Completions
Azure App Service
Azure Cache for Redis
Microsoft Foundry
Azure Managed Identities
GPT-4 Omni
You're only charged when you deploy to Azure. You can try this template locally or in VS Code for the Web at no cost.