Installation requirements

The following sections describe the requirements for deploying Qdrant.

CPU and memory

The CPU and RAM that you need depends on:

  • Number of vectors
  • Vector dimensions
  • Payloads and their indexes
  • Storage
  • Replication
  • How you configure quantization

Our Cloud Pricing Calculator can help you estimate required resources without payload or index data.

Storage

For persistent storage, Qdrant requires block-level access to storage devices with a POSIX-compatible file system. Network systems such as iSCSI that provide block-level access are also acceptable. Qdrant won’t work with Network file systems such as NFS, or Object storage systems such as S3.

If you offload vectors to a local disk, we recommend you use a solid-state (SSD or NVMe) drive.

Networking

Each Qdrant instance requires three open ports:

All Qdrant instances in a cluster must be able to:

  • Communicate with each other over these ports
  • Allow incoming connections to ports 6333 and 6334 from clients that use Qdrant.

Security

The default configuration of Qdrant might not be secure enough for every situation. Please see our security documentation for more information.

Installation options

Qdrant can be installed in different ways depending on your needs:

For production, you can use our Qdrant Cloud to run Qdrant either fully managed in our infrastructure or with Hybrid Cloud in yours.

For testing or development setups, you can run the Qdrant container or as a binary executable.

If you want to run Qdrant in your own infrastructure, without any cloud connection, we recommend to install Qdrant in a Kubernetes cluster with our Helm chart, or to use our Qdrant Enterprise Operator

Production

For production, we recommend that you configure Qdrant in the cloud, with Kubernetes, or with a Qdrant Enterprise Operator.

Qdrant Cloud

You can set up production with the Qdrant Cloud, which provides fully managed Qdrant databases. It provides horizontal and vertical scaling, one click installation and upgrades, monitoring, logging, as well as backup and disaster recovery. For more information, see the Qdrant Cloud documentation.

Kubernetes

You can use a ready-made Helm Chart to run Qdrant in your Kubernetes cluster:

helm repo add qdrant https://qdrant.to/helm
helm install qdrant qdrant/qdrant

For more information, see the qdrant-helm README.

Qdrant Kubernetes Operator

We provide a Qdrant Enterprise Operator for Kubernetes installations. For more information, use this form to contact us.

Docker and Docker Compose

Usually, we recommend to run Qdrant in Kubernetes, or use the Qdrant Cloud for production setups. This makes setting up highly available and scalable Qdrant clusters with backups and disaster recovery a lot easier.

However, you can also use Docker and Docker Compose to run Qdrant in production, by following the setup instructions in the Docker and Docker Compose Development sections. In addition, you have to make sure:

Development

For development and testing, we recommend that you set up Qdrant in Docker. We also have different client libraries.

Docker

The easiest way to start using Qdrant for testing or development is to run the Qdrant container image. The latest versions are always available on DockerHub.

Make sure that Docker, Podman or the container runtime of your choice is installed and running. The following instructions use Docker.

Pull the image:

docker pull qdrant/qdrant

In the following command, revise $(pwd)/path/to/data for your Docker configuration. Then use the updated command to run the container:

docker run -p 6333:6333 \
    -v $(pwd)/path/to/data:/qdrant/storage \
    qdrant/qdrant

With this command, you start a Qdrant instance with the default configuration. It stores all data in the ./path/to/data directory.

By default, Qdrant uses port 6333, so at localhost:6333 you should see the welcome message.

To change the Qdrant configuration, you can overwrite the production configuration:

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

Alternatively, you can use your own custom_config.yaml configuration file:

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

For more information, see the Configuration documentation.

Docker Compose

You can also use Docker Compose to run Qdrant.

Here is an example customized compose file for a single node Qdrant cluster:

services:
  qdrant:
    image: qdrant/qdrant:latest
    restart: always
    container_name: qdrant
    ports:
      - 6333:6333
      - 6334:6334
    expose:
      - 6333
      - 6334
      - 6335
    configs:
      - source: qdrant_config
        target: /qdrant/config/production.yaml
    volumes:
      - ./qdrant_data:/qdrant_data

configs:
  qdrant_config:
    content: |
      log_level: INFO

From source

Qdrant is written in Rust and can be compiled into a binary executable. This installation method can be helpful if you want to compile Qdrant for a specific processor architecture or if you do not want to use Docker.

Before compiling, make sure that the necessary libraries and the rust toolchain are installed. The current list of required libraries can be found in the Dockerfile.

Build Qdrant with Cargo:

cargo build --release --bin qdrant

After a successful build, you can find the binary in the following subdirectory ./target/release/qdrant.

Client libraries

In addition to the service, Qdrant provides a variety of client libraries for different programming languages. For a full list, see our Client libraries documentation.