Docker Swarm
This installation method requires knowledge on Docker Swarms, as it utilizes a stack file to deploy 3 seperate containers as services in a Docker Swarm.
It includes isolated containers of ChromaDB, Ollama, and OpenWebUI. Additionally, there are pre-filled Environment Variables to further illustrate the setup.
This stack correctly deploys ChromaDB as a separate HTTP server container, with Open WebUI connecting to it via CHROMA_HTTP_HOST and CHROMA_HTTP_PORT. This is required for any multi-worker or multi-replica deployment.
The default ChromaDB mode (without CHROMA_HTTP_HOST) uses a local SQLite-backed PersistentClient that is not fork-safe: concurrent writes from multiple worker processes will crash workers instantly. Running ChromaDB as a separate server avoids this by using HTTP connections instead of direct SQLite access.
The chromadb/chroma image is pinned to the same version as the chromadb client library inside the Open WebUI image, because a 1.x client only speaks the v2 API. Keep the two major versions matched when you update either. The 1.x image stores its data under /data and does not read the IS_PERSISTENT and PERSIST_DIRECTORY variables of the old 0.5 image. Open WebUI's Reset Vector Storage/Knowledge and Reset Upload Directory actions call Chroma's reset endpoint, which the 1.x server refuses unless allow_reset: true is set in a config file mounted at /config.yaml (see Chroma's Docker guide).
If you plan to scale the openWebUI service to multiple replicas, you should also switch to PostgreSQL for the main database and set up Redis. See the Scaling & HA guide for full requirements.
Choose the appropriate command based on your hardware setup:
-
Before Starting:
Directories for your volumes need to be created on the host, or you can specify a custom location or volume.
The current example utilizes an isolated dir
data, which is within the same dir as thedocker-stack.yaml.-
For example:
mkdir -p data/open-webui data/chromadb data/ollama
-
-
With GPU Support:
Docker-stack.yaml
services:
openWebUI:
image: ghcr.io/open-webui/open-webui:main
depends_on:
- chromadb
- ollama
volumes:
- ./data/open-webui:/app/backend/data
environment:
DATA_DIR: /app/backend/data
WEBUI_SECRET_KEY: your-secret-key
OLLAMA_BASE_URL: http://ollama:11434
CHROMA_HTTP_PORT: 8000
CHROMA_HTTP_HOST: chromadb
CHROMA_TENANT: default_tenant
VECTOR_DB: chroma
WEBUI_NAME: Awesome ChatBot # shown as "Awesome ChatBot (Open WebUI)"
CORS_ALLOW_ORIGIN: "*" # This is the current Default, will need to change before going live
RAG_EMBEDDING_ENGINE: ollama
RAG_EMBEDDING_MODEL: nomic-embed-text-v1.5
RAG_EMBEDDING_MODEL_TRUST_REMOTE_CODE: "True"
ports:
- target: 8080
published: 8080
mode: overlay
deploy:
replicas: 1
restart_policy:
condition: any
delay: 5s
max_attempts: 3
chromadb:
hostname: chromadb
image: chromadb/chroma:1.5.9
volumes:
- ./data/chromadb:/data
ports:
- target: 8000
published: 8000
mode: overlay
deploy:
replicas: 1
restart_policy:
condition: any
delay: 5s
max_attempts: 3
ollama:
image: ollama/ollama:latest
hostname: ollama
ports:
- target: 11434
published: 11434
mode: overlay
deploy:
resources:
reservations:
generic_resources:
- discrete_resource_spec:
kind: "NVIDIA-GPU"
value: 0
replicas: 1
restart_policy:
condition: any
delay: 5s
max_attempts: 3
volumes:
- ./data/ollama:/root/.ollama
-
Additional Requirements:
- Ensure CUDA is Enabled, follow your OS and GPU instructions for that.
- Enable Docker GPU support, see Nvidia Container Toolkit
- Follow the Guide here on configuring Docker Swarm to with with your GPU
- Ensure GPU Resource is enabled in
/etc/nvidia-container-runtime/config.tomland enable GPU resource advertising by uncommenting theswarm-resource = "DOCKER_RESOURCE_GPU". The docker daemon must be restarted after updating these files on each node.
-
With CPU Support:
Modify the Ollama Service within
docker-stack.yamland remove the lines forgeneric_resources:ollama: image: ollama/ollama:latest hostname: ollama ports: - target: 11434 published: 11434 mode: overlay deploy: replicas: 1 restart_policy: condition: any delay: 5s max_attempts: 3 volumes: - ./data/ollama:/root/.ollama -
Deploy Docker Stack:
docker stack deploy -c docker-stack.yaml -d super-awesome-ai