diff --git a/README.md b/README.md
index 38beff99..4cc99a71 100644
--- a/README.md
+++ b/README.md
@@ -49,10 +49,10 @@ To launch OpenRAG with the TUI, do the following:
 
 For the full TUI guide, see [TUI](https://docs.openr.ag/get-started/tui).
 
-## Docker Deployment
+## Docker installation
 
 If you prefer to use Docker to run OpenRAG, the repository includes two Docker Compose `.yml` files.
-They deploy the same applications and containers, but to different environments.
+They deploy the same applications and containers locally, but to different environments.
 
 - [`docker-compose.yml`](https://github.com/langflow-ai/openrag/blob/main/docker-compose.yml) is an OpenRAG deployment for environments with GPU support. GPU support requires an NVIDIA GPU with CUDA support and compatible NVIDIA drivers installed on the OpenRAG host machine. 
 
@@ -60,7 +60,7 @@ They deploy the same applications and containers, but to different environments.
 
 Both Docker deployments depend on `docling serve` to be running on port `5001` on the host machine. This enables [Mac MLX](https://opensource.apple.com/projects/mlx/) support for document processing. Installing OpenRAG with the TUI starts `docling serve` automatically, but for a Docker deployment you must manually start the `docling serve` process.
 
-To deploy OpenRAG with Docker:
+To install OpenRAG with Docker:
 
 1. Clone the OpenRAG repository.
     ```bash
@@ -121,7 +121,7 @@ To deploy OpenRAG with Docker:
     uv run python scripts/docling_ctl.py stop
     ```
 
-For more information, see [Deploy with Docker](https://docs.openr.ag/get-started/docker).
+For more information, see [Install with Docker](https://docs.openr.ag/get-started/docker).
 
 ## Troubleshooting
 
diff --git a/docs/docs/get-started/docker.mdx b/docs/docs/get-started/docker.mdx
index ebf86554..fd098a80 100644
--- a/docs/docs/get-started/docker.mdx
+++ b/docs/docs/get-started/docker.mdx
@@ -23,7 +23,7 @@ Both Docker deployments depend on `docling serve` to be running on port `5001` o
 - Create an [OpenAI API key](https://platform.openai.com/api-keys). This key is **required** to start OpenRAG, but you can choose a different model provider during [Application Onboarding](#application-onboarding).
 - Optional: GPU support requires an NVIDIA GPU with CUDA support and compatible NVIDIA drivers installed on the OpenRAG host machine. If you don't have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.
 
-## Deploy OpenRAG with Docker Compose
+## Install OpenRAG with Docker Compose
 
 To install OpenRAG with Docker Compose, do the following:
 
@@ -82,7 +82,7 @@ The following values are **required** to be set:
    PID: 27746
    ```
 
-7. Deploy OpenRAG with Docker Compose based on your deployment type.
+7. Deploy OpenRAG locally with Docker Compose based on your deployment type.
 
    For GPU-enabled systems, run the following commands:
    ```bash