windows-users-note

docs/docs/get-started/install.mdx

@@ -28,6 +28,10 @@ If you prefer running Podman or Docker containers and manually editing `.env` fi
 - 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: Install GPU support with an NVIDIA GPU, [CUDA](https://docs.nvidia.com/cuda/) support, and compatible NVIDIA drivers on the OpenRAG host machine. If you don't have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.
 
+:::note Windows users
+The OpenRAG TUI has limited compatibility with PowerShell. To use the TUI, use [WSL (Windows Subsystem for Linux)](https://learn.microsoft.com/en-us/windows/wsl/install). Alternatively, skip the TUI and follow the [OpenRAG container installation](/get-started/docker) steps instead.
+:::
+
 ## Install the OpenRAG Python wheel {#install-python-wheel}
 
 The OpenRAG wheel installs the Terminal User Interface (TUI) for configuring and running OpenRAG.
@@ -155,7 +159,15 @@ If the TUI detects OAuth credentials, it enforces the **Advanced Setup** path.
 
 <PartialOnboarding />
 
-## Manage OpenRAG containers with the TUI
+## Close the OpenRAG TUI
+
+To close the OpenRAG TUI, press <kbd>q</kbd>.
+The OpenRAG containers will continue to be served until the containers are stopped.
+For more information, see [Manage OpenRAG containers with the TUI ](#tui-container-management).
+
+To start the TUI again, run `uvx openrag`.
+
+## Manage OpenRAG containers with the TUI {#tui-container-management}
 
 After installation, the TUI can deploy, manage, and upgrade your OpenRAG containers.