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+---
+title: Install OpenRAG
+slug: /install
+---
+
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+OpenRAG can be installed in multiple ways:
+
+* [**Python wheel**](#install-python-wheel): Install the OpenRAG Python wheel and use the [OpenRAG Terminal User Interface (TUI)](/get-started/tui) to install, run, and configure your OpenRAG deployment without running Docker commands.
+
+* [**Docker Compose**](#install-and-run-docker): Clone the OpenRAG repository and deploy OpenRAG with Docker Compose, including all services and dependencies.
+
+## Prerequisites 
+
+- [Python Version 3.10 to 3.13](https://www.python.org/downloads/release/python-3100/)
+- [uv](https://docs.astral.sh/uv/getting-started/installation/)
+- [Docker](https://docs.docker.com/get-docker/) or [Podman](https://podman.io/docs/installation) installed
+- [Docker Compose](https://docs.docker.com/compose/install/) installed. If using Podman, use [podman-compose](https://docs.podman.io/en/latest/markdown/podman-compose.1.html) or alias Docker compose commands to Podman commands.
+- For GPU support: (TBD)
+
+## Python wheel {#install-python-wheel}
+
+The Python wheel is currently available internally, but will be available on PyPI at launch.
+The wheel installs the OpenRAG wheel, which includes the TUI for installing, running, and managing OpenRAG.
+For more information on virtual environments, see [uv](https://docs.astral.sh/uv/pip/environments).
+
+1. Create a new project with a virtual environment using [uv](https://docs.astral.sh/uv/pip/environments).
+
+   ```bash
+   uv init YOUR_PROJECT_NAME
+   cd YOUR_PROJECT_NAME
+   ```
+2. Add the OpenRAG wheel to your project and install it in the virtual environment.
+   Replace `PATH/TO/` and `VERSION` with your OpenRAG wheel location and version.
+   ```bash
+   uv add PATH/TO/openrag-VERSION-py3-none-any.whl
+   ```
+3. Ensure all dependencies are installed and updated in your virtual environment.
+   ```bash
+   uv sync
+   ```
+
+4. Start the OpenRAG TUI.
+   ```bash
+   uv run openrag
+   ```
+
+   The OpenRAG TUI opens.
+
+5. To install OpenRAG with Basic Setup, click **Basic Setup** or press <kbd>1</kbd>. Basic Setup does not set up OAuth connections for ingestion from Google Drive, OneDrive, or AWS. For OAuth setup, see [Advanced Setup](#advanced-setup).
+   The TUI prompts you for the required startup values.
+   Click **Generate Passwords** to autocomplete fields that contain **Auto-generated Secure Password**, or bring your own passwords.
+    <details closed>
+    <summary>Where do I find the required startup values?</summary>
+    
+    | Variable | Where to Find | Description |
+    |----------|---------------|-------------|
+    | `OPENSEARCH_PASSWORD` | Auto-generated secure password | The password for OpenSearch database access. Must be at least 8 characters and must contain at least one uppercase letter, one lowercase letter, one digit, and one special character. |
+    | `OPENAI_API_KEY` | [OpenAI Platform](https://platform.openai.com/api-keys) | API key from your OpenAI account. |
+    | `LANGFLOW_SUPERUSER` | User generated | Username for Langflow admin access. For more, see [Langflow docs](https://docs.langflow.org/api-keys-and-authentication#langflow-superuser). |
+    | `LANGFLOW_SUPERUSER_PASSWORD` | Auto-generated secure password | Password for Langflow admin access. For more, see the [Langflow docs](https://docs.langflow.org/api-keys-and-authentication#langflow-superuser). |
+    | `LANGFLOW_SECRET_KEY` | Auto-generated secure key | Secret key for Langflow security. For more, see the [Langflow docs](https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key). |
+    | `LANGFLOW_AUTO_LOGIN` | Auto-generated or manual | Auto-login configuration. For more, see the [Langflow docs](https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login). |
+    | `LANGFLOW_NEW_USER_IS_ACTIVE` | Langflow | New user activation setting. For more, see the [Langflow docs](https://docs.langflow.org/api-keys-and-authentication#langflow-new-user-is-active). |
+    | `LANGFLOW_ENABLE_SUPERUSER_CLI` | Langflow server | Superuser CLI access setting. For more, see the [Langflow docs](https://docs.langflow.org/api-keys-and-authentication#langflow-enable-superuser-cli). |
+    | `DOCUMENTS_PATH` | Set your local path | Path to your document storage directory. |
+    
+    </details>
+   
+   To complete credentials, click **Save Configuration**.
+
+6. To start OpenRAG with your credentials, click **Start Container Services**.
+   Startup pulls container images and starts them, so it can take some time.
+   The operation has completed when the **Close** button is available and the terminal displays:
+   ```bash
+   Services started successfully
+   Command completed successfully
+   ```
+
+7. To open the OpenRAG application, click **Open App** or press <kbd>6</kbd>.
+8. Continue with the Quickstart.
+
+### Advanced Setup {#advanced-setup}
+
+**Advanced Setup** includes the required values from **Basic Setup**, with additional settings for OAuth credentials.
+If the OpenRAG TUI detects OAuth credentials, it enforces the Advanced Setup path.
+1. Add your client and secret values for Google, Azure, or AWS OAuth.
+These values can be found in your OAuth provider.
+2. The OpenRAG TUI presents redirect URIs for your OAuth app.
+These are the URLs your OAuth provider will redirect back to after user sign-in.
+Register these redirect values with your OAuth provider as they are presented in the TUI.
+3. To open the OpenRAG application, click **Open App** or press <kbd>6</kbd>.
+You will be presented with your provider's OAuth sign-in screen, and be redirected to the redirect URI after sign-in.
+
+Two additional variables are available for Advanced Setup:
+
+The `LANGFLOW_PUBLIC_URL` controls where the Langflow web interface can be accessed. This is where users interact with their flows in a browser.
+
+The `WEBHOOK_BASE_URL` controls where the endpoint for `/connectors/CONNECTOR_TYPE/webhook` will be available.
+This connection enables real-time document synchronization with external services.
+For example, for Google Drive file synchronization the webhook URL is `/connectors/google_drive/webhook`.
+
+## Docker {#install-and-run-docker}
+
+There are two different Docker Compose files.
+They deploy the same applications and containers, but to different environments.
+
+- [`docker-compose.yml`](https://github.com/langflow-ai/openrag/blob/main/docker-compose.yml) is an OpenRAG deployment with GPU support for accelerated AI processing.
+
+- [`docker-compose-cpu.yml`](https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml) is a CPU-only version of OpenRAG for systems without GPU support. Use this Docker compose file for environments where GPU drivers aren't available.
+
+To install OpenRAG with Docker Compose:
+
+1. Clone the OpenRAG repository.
+   ```bash
+   git clone https://github.com/langflow-ai/openrag.git
+   cd openrag
+   ```
+
+2. Copy the example `.env` file that is included in the repository root.
+  The example file includes all environment variables with comments to guide you in finding and setting their values.
+   ```bash
+   cp .env.example .env
+   ```
+
+   Alternatively, create a new `.env` file in the repository root.
+   ```
+   touch .env
+   ```
+
+3. Set environment variables. The Docker Compose files are populated with values from your `.env`, so the following values are **required** to be set:
+
+   ```bash
+   OPENSEARCH_PASSWORD=your_secure_password
+   OPENAI_API_KEY=your_openai_api_key
+   
+   LANGFLOW_SUPERUSER=admin
+   LANGFLOW_SUPERUSER_PASSWORD=your_langflow_password
+   LANGFLOW_SECRET_KEY=your_secret_key
+   ```
+   For more information on configuring OpenRAG with environment variables, see [Environment variables](/configure/configuration).
+   For additional configuration values, including `config.yaml`, see [Configuration](/configure/configuration).
+
+4. Deploy OpenRAG with Docker Compose based on your deployment type.
+
+   For GPU-enabled systems, run the following command:
+   ```bash
+   docker compose up -d
+   ```
+
+   For CPU-only systems, run the following command:
+   ```bash
+   docker compose -f docker-compose-cpu.yml up -d
+   ```
+
+   The OpenRAG Docker Compose file starts five containers:
+   | Container Name | Default Address | Purpose |
+   |---|---|---|
+   | OpenRAG Backend | http://localhost:8000 | FastAPI server and core functionality. |
+   | OpenRAG Frontend | http://localhost:3000 | React web interface for users. |
+   | Langflow | http://localhost:7860 | AI workflow engine and flow management. |
+   | OpenSearch | http://localhost:9200 | Vector database for document storage. |
+   | OpenSearch Dashboards | http://localhost:5601 | Database administration interface. |
+
+5. Verify installation by confirming all services are running.
+
+   ```bash
+   docker compose ps
+   ```
+
+   You can now access the application at:
+
+   - **Frontend**: http://localhost:3000
+   - **Backend API**: http://localhost:8000
+   - **Langflow**: http://localhost:7860
+
+Continue with the Quickstart.
\ No newline at end of file
diff --git a/docs/sidebars.js b/docs/sidebars.js
index 6d6db6b3..588e7665 100644
--- a/docs/sidebars.js
+++ b/docs/sidebars.js
@@ -23,14 +23,18 @@ const sidebars = {
         {
           type: "doc",
           id: "get-started/what-is-openrag",
-          label: "Introduction"
+          label: "About OpenRAG"
+        },
+        {
+          type: "doc",
+          id: "get-started/install",
+          label: "Installation"
         },
         {
           type: "doc",
           id: "get-started/quickstart",
           label: "Quickstart"
         },
-
         {
           type: "doc",
           id: "get-started/docker",