Azure-Samples/aks-openai-chainlit-terraform

This sample shows how to create two AKS-hosted chat applications that use OpenAI, LangChain, ChromaDB, and Chainlit using Python and deploy them to an AKS environment built in Terraform.

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Emerging

This project helps developers quickly set up and deploy secure chat applications powered by advanced AI models. It takes Python code leveraging OpenAI, LangChain, and Chainlit, and deploys it to a robust Azure Kubernetes Service environment. The end-user persona for this project is a DevOps engineer or cloud architect responsible for deploying and managing AI applications on Azure.

No commits in the last 6 months.

Use this if you need to deploy secure, scalable AI-powered chat applications, including document question-answering, within an Azure Kubernetes Service environment using Infrastructure-as-Code principles.

Not ideal if you are looking for a pre-built chat application for end-users, or if you prefer to deploy AI applications without using Kubernetes or Terraform.

cloud-deployment kubernetes-management devops ai-application-hosting azure-architecture
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 18 / 25

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44

Forks

14

Language

HCL

License

MIT

Last pushed

May 07, 2024

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