Run the Qdrant vector engine (vector database) on Azure using:

• Azure Container Instance
• Azure Kubernetes Service
• Qdrant container in Docker

Description: This project provides resources to deploy the Qdrant Vector database to Azure using Azure Container Instances and/or Azure Kubernetes Service via ARM template, bicep, or Helm Chart.

This project framework provides the following features:

• Ability to deploy the Qdrant vector database using via Azure Container Instance for use in storing AI generated embeddings
• Ability to deploy persistent volume with ACI to store/persist Qdrant data
• Ability to run a scalable Qdrant cluster on Kubernetes with AKS.
• Ability to run Qdrant on local desktop with Docker.

To get started, users will need access to an Azure subscription.

To deploy using the Deploy to Azure button which leverages an ARM template, you need write access on the resources you're deploying and access to all operations on the Microsoft.Resources/deployments resource type.

Azure Container Instances

To deploy Qdrant to an Azure Container Instance with Azure Volume, go to the Azure-Container-Instances folder and follow instructions in the README.md to deploy to the Azure Container Instances (ACI) service.

Additionally, you can deploy using the Deploy to Azure button below.

If using the Deploy to Azure button, this setup a storage account in Azure for you. Please ensure you have permissions for Azure Container Services and Azure Storage Accounts.

Azure Kubernetes Service

To deploy Qdrant to a cluster running in Azure Kubernetes Services, go to the Azure-Kubernetes-Svc folder and follow instructions in the README.md to deploy to a Kubernetes cluster with Load Balancer on Azure Kubernetes Services (AKS).

You can quickly create an Azure Kubernetes Service cluster by clicking the Deploy to Azure button below. After creating your AKS cluster, go to the Azure-Kubernetes-Svc folder to deploy Qdrant into the AKS cluster using Helm.

Docker (Local)

To run the Qdrant vector database running in Docker locally, please follow the instructions from Qdrant's website: Install Qdrant with Docker

To run Qdrant with Docker locally, you can use the following command using default values stored in the file .config/config.yaml located in the Local-Docker-Deployment folder.

docker run -p 6333:6333 \
    -v $(pwd)/path/to/data:/qdrant/storage \
    -v $(pwd)/path/to/custom_config.yaml:/qdrant/config/production.yaml \
    qdrant/qdrant

You can overwrite values by creating and adding new records to a file ./config/production.yaml. An example of the production.yaml file located in the Local-Docker-Deployment directory. Please review the Qdrant documentation to learn more information on configuration options for Qdrant.

• Qdrant Vector Search (Vector Database): https://qdrant.tech/
• Qdrant Integration with OpenAI: https://qdrant.tech/documentation/integrations/#openai
• Azure Container Instances (ACI): https://learn.microsoft.com/en-us/azure/container-instances/
• Azure Kubernetes Service (AKS): https://learn.microsoft.com/en-us/azure/aks/
• Docker Desktop: https://docs.docker.com/desktop/