diff --git a/docs/docs/get-started/docker.mdx b/docs/docs/get-started/docker.mdx
index 3d616af2..24658a0b 100644
--- a/docs/docs/get-started/docker.mdx
+++ b/docs/docs/get-started/docker.mdx
@@ -56,7 +56,7 @@ To install OpenRAG with Docker Compose, do the following:
    LANGFLOW_SECRET_KEY=your_secret_key
    ```
 
-   `OPENSEARCH_PASSWORD` is automatically generated when using the TUI, but for a Docker Compose installation, you must set it manually. To generate an OpenSearch admin password, see the [OpenSearch documentation](https://docs.opensearch.org/latest/security/configuration/demo-configuration/#setting-up-a-custom-admin-password).
+   `OPENSEARCH_PASSWORD` can be automatically generated when using the TUI, but for a Docker Compose installation, you can set it manually instead. To generate an OpenSearch admin password, see the [OpenSearch documentation](https://docs.opensearch.org/latest/security/configuration/demo-configuration/#setting-up-a-custom-admin-password).
 
    The `OPENAI_API_KEY` is found in your OpenAI account. 
 
diff --git a/docs/docs/get-started/install.mdx b/docs/docs/get-started/install.mdx
index f770b073..5d9ae686 100644
--- a/docs/docs/get-started/install.mdx
+++ b/docs/docs/get-started/install.mdx
@@ -29,7 +29,7 @@ If you prefer running Podman or Docker containers and manually editing `.env` fi
 - 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.
+To use OpenRAG on Windows, use [WSL (Windows Subsystem for Linux)](https://learn.microsoft.com/en-us/windows/wsl/install).
 :::
 
 ## Install the OpenRAG Python wheel {#install-python-wheel}