diff --git a/docs/getting-started/index.mdx b/docs/getting-started/index.mdx
index e21a7b9..4bf763b 100644
--- a/docs/getting-started/index.mdx
+++ b/docs/getting-started/index.mdx
@@ -337,6 +337,151 @@ You should have Open WebUI up and running at http://localhost:8080/. Enjoy! 😄
   ./run-compose.sh --enable-gpu --build
   ```
 
+
+
+## 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](/getting-started/env-configuration) to further illustrate the setup.
+
+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 the `docker-stack.yaml`.
+  
+      - **For example**:
+  
+        ```bash
+        mkdir -p data/open-webui data/chromadb data/ollama
+        ```
+
+- **With GPU Support**:
+
+    #### Docker-stack.yaml
+    ```yaml
+    version: '3.9'
+
+    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 
+          OLLAMA_BASE_URLS: http://ollama:11434
+          CHROMA_HTTP_PORT: 8000
+          CHROMA_HTTP_HOST: chromadb
+          CHROMA_TENANT: default_tenant
+          VECTOR_DB: chroma
+          WEBUI_NAME: Awesome ChatBot
+          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:0.5.15
+        volumes:
+          - ./data/chromadb:/chroma/chroma
+        environment:
+          - IS_PERSISTENT=TRUE
+          - ALLOW_RESET=TRUE
+          - PERSIST_DIRECTORY=/chroma/chroma
+        ports: 
+          - target: 8000
+            published: 8000
+            mode: overlay
+        deploy:
+          replicas: 1
+          restart_policy:
+            condition: any
+            delay: 5s
+            max_attempts: 3
+        healthcheck: 
+          test: ["CMD-SHELL", "curl localhost:8000/api/v1/heartbeat || exit 1"]
+          interval: 10s
+          retries: 2
+          start_period: 5s
+          timeout: 10s
+
+      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**:
+
+      1. Ensure CUDA is Enabled, follow your OS and GPU instructions for that.
+      2. Enable Docker GPU support, see [Nvidia Container Toolkit](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html " on Nvidia's site.") 
+      3. Follow the [Guide here on configuring Docker Swarm to with with your GPU](https://gist.github.com/tomlankhorst/33da3c4b9edbde5c83fc1244f010815c#configuring-docker-to-work-with-your-gpus) 
+        - Ensure _GPU Resource_ is enabled in `/etc/nvidia-container-runtime/config.toml` and enable GPU resource advertising by uncommenting the `swarm-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.yaml` and remove the lines for `generic_resources:`
+    ```yaml
+        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**:
+  
+  ```bash
+  docker stack deploy -c docker-stack.yaml -d super-awesome-ai
+  ```
+
+
 ## Installing with Podman
 
 <details>