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class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col docItemCol_VOVn"><div class="docItemContainer_Djhp"><article><nav class="theme-doc-breadcrumbs breadcrumbsContainer_Z_bl" aria-label="Breadcrumbs"><ul class="breadcrumbs"><li class="breadcrumbs__item"><a aria-label="Home page" class="breadcrumbs__link" href="/"><svg viewBox="0 0 24 24" class="breadcrumbHomeIcon_YNFT"><path d="M10 19v-5h4v5c0 .55.45 1 1 1h3c.55 0 1-.45 1-1v-7h1.7c.46 0 .68-.57.33-.87L12.67 3.6c-.38-.34-.96-.34-1.34 0l-8.36 7.53c-.34.3-.13.87.33.87H5v7c0 .55.45 1 1 1h3c.55 0 1-.45 1-1z" fill="currentColor"></path></svg></a></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Install OpenRAG containers</span></li></ul></nav><div class="tocCollapsible_ETCw theme-doc-toc-mobile tocMobile_ITEo"><button type="button" class="clean-btn tocCollapsibleButton_TO0P">On this page</button></div><div class="theme-doc-markdown markdown"><header><h1>Install OpenRAG containers</h1></header><p>OpenRAG has two Docker Compose files. Both files deploy the same applications and containers locally, but they are for different environments:</p>
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<ul>
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<li class="">
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<p><a href="https://github.com/langflow-ai/openrag/blob/main/docker-compose.yml" target="_blank" rel="noopener noreferrer" class=""><code>docker-compose.yml</code></a> is an OpenRAG deployment with GPU support for accelerated AI processing. This Docker Compose file requires an NVIDIA GPU with <a href="https://docs.nvidia.com/cuda/" target="_blank" rel="noopener noreferrer" class="">CUDA</a> support.</p>
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</li>
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<li class="">
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<p><a href="https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml" target="_blank" rel="noopener noreferrer" class=""><code>docker-compose-cpu.yml</code></a> is a CPU-only version of OpenRAG for systems without NVIDIA GPU support. Use this Docker Compose file for environments where GPU drivers aren't available.</p>
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</li>
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</ul>
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<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites" translate="no"></a></h2>
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<ul>
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<li class="">
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<p>Install the following:</p>
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<ul>
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<li class=""><a href="https://www.python.org/downloads/release/python-3100/" target="_blank" rel="noopener noreferrer" class="">Python</a> version 3.13 or later.</li>
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<li class=""><a href="https://docs.astral.sh/uv/getting-started/installation/" target="_blank" rel="noopener noreferrer" class="">uv</a>.</li>
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<li class=""><a href="https://podman.io/docs/installation" target="_blank" rel="noopener noreferrer" class="">Podman</a> (recommended) or <a href="https://docs.docker.com/get-docker/" target="_blank" rel="noopener noreferrer" class="">Docker</a>.</li>
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<li class=""><a href="https://docs.podman.io/en/latest/markdown/podman-compose.1.html" target="_blank" rel="noopener noreferrer" class=""><code>podman-compose</code></a> or <a href="https://docs.docker.com/compose/install/" target="_blank" rel="noopener noreferrer" class="">Docker Compose</a>. To use Docker Compose with Podman, you must alias Docker Compose commands to Podman commands.</li>
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</ul>
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</li>
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<li class="">
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<p>Microsoft Windows only: To run OpenRAG on Windows, you must use the Windows Subsystem for Linux (WSL).</p>
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<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Install WSL for OpenRAG</summary><div><div class="collapsibleContent_i85q"><ol>
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<li class="">
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<p><a href="https://learn.microsoft.com/en-us/windows/wsl/install" target="_blank" rel="noopener noreferrer" class="">Install WSL</a> with the Ubuntu distribution using WSL 2:</p>
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<div class="language-powershell codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-powershell codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">wsl --install -d Ubuntu</span><br></span></code></pre></div></div>
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<p>For new installations, the <code>wsl --install</code> command uses WSL 2 and Ubuntu by default.</p>
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<p>For existing WSL installations, you can <a href="https://learn.microsoft.com/en-us/windows/wsl/install#change-the-default-linux-distribution-installed" target="_blank" rel="noopener noreferrer" class="">change the distribution</a> and <a href="https://learn.microsoft.com/en-us/windows/wsl/install#upgrade-version-from-wsl-1-to-wsl-2" target="_blank" rel="noopener noreferrer" class="">check the WSL version</a>.</p>
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<div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>Known limitation</div><div class="admonitionContent_BuS1"><p>OpenRAG isn't compatible with nested virtualization, which can cause networking issues.
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Don't install OpenRAG on a WSL distribution that is installed inside a Windows VM.
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Instead, install OpenRAG on your base OS or a non-nested Linux VM.</p></div></div>
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</li>
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<li class="">
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<p><a href="https://learn.microsoft.com/en-us/windows/wsl/install#ways-to-run-multiple-linux-distributions-with-wsl" target="_blank" rel="noopener noreferrer" class="">Start your WSL Ubuntu distribution</a> if it doesn't start automatically.</p>
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</li>
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<li class="">
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<p><a href="https://learn.microsoft.com/en-us/windows/wsl/setup/environment#set-up-your-linux-username-and-password" target="_blank" rel="noopener noreferrer" class="">Set up a username and password for your WSL distribution</a>.</p>
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</li>
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<li class="">
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<p><a href="https://learn.microsoft.com/en-us/windows/wsl/tutorials/wsl-containers" target="_blank" rel="noopener noreferrer" class="">Install Docker Desktop for Windows with WSL 2</a>. When you reach the Docker Desktop <strong>WSL integration</strong> settings, make sure your Ubuntu distribution is enabled, and then click <strong>Apply & Restart</strong> to enable Docker support in WSL.</p>
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</li>
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<li class="">
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<p>Install and run OpenRAG from within your WSL Ubuntu distribution.</p>
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</li>
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</ol>
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<br>
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<p>If you encounter issues with port forwarding or the Windows Firewall, you might need to adjust the <a href="https://learn.microsoft.com/en-us/windows/security/operating-system-security/network-security/windows-firewall/hyper-v-firewall" target="_blank" rel="noopener noreferrer" class="">Hyper-V firewall settings</a> to allow communication between your WSL distribution and the Windows host. For more troubleshooting advice for networking issues, see <a href="https://learn.microsoft.com/en-us/windows/wsl/troubleshooting#common-issues" target="_blank" rel="noopener noreferrer" class="">Troubleshooting WSL common issues</a>.</p></div></div></details>
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</li>
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<li class="">
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<p>Prepare model providers and credentials.</p>
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<p>During <a href="#application-onboarding" class="">Application Onboarding</a>, you must select language model and embedding model providers.
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If your chosen provider offers both types, you can use the same provider for both selections.
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If your provider offers only one type, such as Anthropic, you must select two providers.</p>
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<p>Gather the credentials and connection details for your chosen model providers before starting onboarding:</p>
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<ul>
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<li class="">OpenAI: Create an <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer" class="">OpenAI API key</a>.</li>
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<li class="">Anthropic language models: Create an <a href="https://www.anthropic.com/docs/api/reference" target="_blank" rel="noopener noreferrer" class="">Anthropic API key</a>.</li>
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<li class="">IBM watsonx.ai: Get your watsonx.ai API endpoint, IBM project ID, and IBM API key from your watsonx deployment.</li>
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<li class="">Ollama: Use the <a href="https://docs.ollama.com/" target="_blank" rel="noopener noreferrer" class="">Ollama documentation</a> to set up your Ollama instance locally, in the cloud, or on a remote server, and then get your Ollama server's base URL.</li>
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</ul>
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</li>
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<li class="">
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<p>Optional: Install GPU support with an NVIDIA GPU, <a href="https://docs.nvidia.com/cuda/" target="_blank" rel="noopener noreferrer" class="">CUDA</a> support, and compatible NVIDIA drivers on the OpenRAG host machine. This is required to use the GPU-accelerated Docker Compose file. If you choose not to use GPU support, you must use the CPU-only Docker Compose file instead.</p>
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</li>
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||
</ul>
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||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="install-openrag-with-docker-compose">Install OpenRAG with Docker Compose<a href="#install-openrag-with-docker-compose" class="hash-link" aria-label="Direct link to Install OpenRAG with Docker Compose" title="Direct link to Install OpenRAG with Docker Compose" translate="no"></a></h2>
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<p>To install OpenRAG with Docker Compose, do the following:</p>
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<ol>
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<li class="">
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<p>Clone the OpenRAG repository.</p>
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<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">git clone https://github.com/langflow-ai/openrag.git</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">cd openrag</span><br></span></code></pre></div></div>
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</li>
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<li class="">
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<p>Install dependencies.</p>
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<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">uv sync</span><br></span></code></pre></div></div>
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</li>
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<li class="">
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<p>Copy the example <code>.env</code> file included in the repository root.
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The example file includes all environment variables with comments to guide you in finding and setting their values.</p>
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<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">cp .env.example .env</span><br></span></code></pre></div></div>
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<p>Alternatively, create a new <code>.env</code> file in the repository root.</p>
|
||
<div class="language-text codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">touch .env</span><br></span></code></pre></div></div>
|
||
</li>
|
||
<li class="">
|
||
<p>The Docker Compose files are populated with the values from your <code>.env</code> file.
|
||
The <code>OPENSEARCH_PASSWORD</code> value must be set.
|
||
<code>OPENSEARCH_PASSWORD</code> 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 <a href="https://docs.opensearch.org/latest/security/configuration/demo-configuration/#setting-up-a-custom-admin-password" target="_blank" rel="noopener noreferrer" class="">OpenSearch documentation</a>.</p>
|
||
<p>The following values are optional:</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">OPENAI_API_KEY=your_openai_api_key</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">LANGFLOW_SECRET_KEY=your_secret_key</span><br></span></code></pre></div></div>
|
||
<p><code>OPENAI_API_KEY</code> is optional. You can provide it during <a href="#application-onboarding" class="">Application Onboarding</a> or choose a different model provider. If you want to set it in your <code>.env</code> file, you can find your OpenAI API key in your <a href="https://platform.openai.com/api-keys" target="_blank" rel="noopener noreferrer" class="">OpenAI account</a>.</p>
|
||
<p><code>LANGFLOW_SECRET_KEY</code> is optional. Langflow will auto-generate it if not set. For more information, see the <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key" target="_blank" rel="noopener noreferrer" class="">Langflow documentation</a>.</p>
|
||
<p>The following Langflow configuration values are optional but important to consider:</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">LANGFLOW_SUPERUSER=admin</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">LANGFLOW_SUPERUSER_PASSWORD=your_langflow_password</span><br></span></code></pre></div></div>
|
||
<p><code>LANGFLOW_SUPERUSER</code> defaults to <code>admin</code>. You can omit it or set it to a different username. <code>LANGFLOW_SUPERUSER_PASSWORD</code> is optional. If omitted, Langflow runs in <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login" target="_blank" rel="noopener noreferrer" class="">autologin mode</a> with no password required. If set, Langflow requires password authentication.</p>
|
||
<p>For more information on configuring OpenRAG with environment variables, see <a class="" href="/reference/configuration">Environment variables</a>.</p>
|
||
</li>
|
||
<li class="">
|
||
<p>Start <code>docling serve</code> on the host machine.
|
||
OpenRAG Docker installations require that <code>docling serve</code> is running on port 5001 on the host machine.
|
||
This enables <a href="https://opensource.apple.com/projects/mlx/" target="_blank" rel="noopener noreferrer" class="">Mac MLX</a> support for document processing.</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">uv run python scripts/docling_ctl.py start --port 5001</span><br></span></code></pre></div></div>
|
||
</li>
|
||
<li class="">
|
||
<p>Confirm <code>docling serve</code> is running.</p>
|
||
<div class="language-text codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-text codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">uv run python scripts/docling_ctl.py status</span><br></span></code></pre></div></div>
|
||
<p>Make sure the response shows that <code>docling serve</code> is running, for example:</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">Status: running</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">Endpoint: http://127.0.0.1:5001</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">Docs: http://127.0.0.1:5001/docs</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">PID: 27746</span><br></span></code></pre></div></div>
|
||
</li>
|
||
<li class="">
|
||
<p>Deploy OpenRAG locally with Docker Compose based on your deployment type.</p>
|
||
<div class="theme-tabs-container tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">docker-compose.yml</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">docker-compose-cpu.yml</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">docker compose build</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">docker compose up -d</span><br></span></code></pre></div></div></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">docker compose -f docker-compose-cpu.yml up -d</span><br></span></code></pre></div></div></div></div></div>
|
||
<p>The OpenRAG Docker Compose file starts five containers:</p>
|
||
<table><thead><tr><th>Container Name</th><th>Default Address</th><th>Purpose</th></tr></thead><tbody><tr><td>OpenRAG Backend</td><td><a href="http://localhost:8000" target="_blank" rel="noopener noreferrer" class="">http://localhost:8000</a></td><td>FastAPI server and core functionality.</td></tr><tr><td>OpenRAG Frontend</td><td><a href="http://localhost:3000" target="_blank" rel="noopener noreferrer" class="">http://localhost:3000</a></td><td>React web interface for users.</td></tr><tr><td>Langflow</td><td><a href="http://localhost:7860" target="_blank" rel="noopener noreferrer" class="">http://localhost:7860</a></td><td>AI workflow engine and flow management.</td></tr><tr><td>OpenSearch</td><td><a href="http://localhost:9200" target="_blank" rel="noopener noreferrer" class="">http://localhost:9200</a></td><td>Vector database for document storage.</td></tr><tr><td>OpenSearch Dashboards</td><td><a href="http://localhost:5601" target="_blank" rel="noopener noreferrer" class="">http://localhost:5601</a></td><td>Database administration interface.</td></tr></tbody></table>
|
||
</li>
|
||
<li class="">
|
||
<p>Verify installation by confirming all services are running.</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">docker compose ps</span><br></span></code></pre></div></div>
|
||
<p>You can now access OpenRAG at the following endpoints:</p>
|
||
<ul>
|
||
<li class=""><strong>Frontend</strong>: <a href="http://localhost:3000" target="_blank" rel="noopener noreferrer" class="">http://localhost:3000</a></li>
|
||
<li class=""><strong>Backend API</strong>: <a href="http://localhost:8000" target="_blank" rel="noopener noreferrer" class="">http://localhost:8000</a></li>
|
||
<li class=""><strong>Langflow</strong>: <a href="http://localhost:7860" target="_blank" rel="noopener noreferrer" class="">http://localhost:7860</a></li>
|
||
</ul>
|
||
</li>
|
||
<li class="">
|
||
<p>Continue with <a href="#application-onboarding" class="">Application Onboarding</a>.</p>
|
||
</li>
|
||
</ol>
|
||
<p>To stop <code>docling serve</code> when you're done with your OpenRAG deployment, run:</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">uv run python scripts/docling_ctl.py stop</span><br></span></code></pre></div></div>
|
||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="application-onboarding">Application onboarding<a href="#application-onboarding" class="hash-link" aria-label="Direct link to Application onboarding" title="Direct link to Application onboarding" translate="no"></a></h2>
|
||
<p>The first time you start OpenRAG, whether using the TUI or a <code>.env</code> file, you must complete application onboarding.</p>
|
||
<div class="theme-admonition theme-admonition-warning admonition_xJq3 alert alert--warning"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 16 16"><path fill-rule="evenodd" d="M8.893 1.5c-.183-.31-.52-.5-.887-.5s-.703.19-.886.5L.138 13.499a.98.98 0 0 0 0 1.001c.193.31.53.501.886.501h13.964c.367 0 .704-.19.877-.5a1.03 1.03 0 0 0 .01-1.002L8.893 1.5zm.133 11.497H6.987v-2.003h2.039v2.003zm0-3.004H6.987V5.987h2.039v4.006z"></path></svg></span>warning</div><div class="admonitionContent_BuS1"><p>Most values from onboarding can be changed later in the OpenRAG <strong>Settings</strong> page, but there are important restrictions.</p><p>The <strong>language model provider</strong> and <strong>embeddings model provider</strong> can only be selected at onboarding.
|
||
To change your provider selection later, you must <a class="" href="/install#reinstall">reinstall OpenRAG</a>.</p><p>You can use different providers for your language model and embedding model, such as Anthropic for the language model and OpenAI for the embeddings model.</p></div></div>
|
||
<p>Choose one LLM provider and complete these steps:</p>
|
||
<div class="theme-tabs-container tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Anthropic</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">OpenAI</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">IBM watsonx.ai</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Ollama</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><div class="theme-admonition theme-admonition-info admonition_xJq3 alert alert--info"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 14 16"><path fill-rule="evenodd" d="M7 2.3c3.14 0 5.7 2.56 5.7 5.7s-2.56 5.7-5.7 5.7A5.71 5.71 0 0 1 1.3 8c0-3.14 2.56-5.7 5.7-5.7zM7 1C3.14 1 0 4.14 0 8s3.14 7 7 7 7-3.14 7-7-3.14-7-7-7zm1 3H6v5h2V4zm0 6H6v2h2v-2z"></path></svg></span>info</div><div class="admonitionContent_BuS1"><p>Anthropic does not provide embedding models. If you select Anthropic for your language model, you must then select a different provider for embeddings.</p></div></div><ol>
|
||
<li class="">Enable <strong>Use environment Anthropic API key</strong> to automatically use your key from the <code>.env</code> file.
|
||
Alternatively, paste an Anthropic API key into the field.</li>
|
||
<li class="">Under <strong>Advanced settings</strong>, select your <strong>Language Model</strong>.</li>
|
||
<li class="">Click <strong>Complete</strong>.</li>
|
||
<li class="">In the second onboarding panel, select a provider for embeddings and select your <strong>Embedding Model</strong>.</li>
|
||
<li class="">To complete the onboarding tasks, click <strong>What is OpenRAG</strong>, and then click <strong>Add a Document</strong>.
|
||
Alternatively, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-right" aria-hidden="true"><path d="M5 12h14"></path><path d="m12 5 7 7-7 7"></path></svg> <strong>Skip overview</strong>.</li>
|
||
<li class="">Continue with the <a class="" href="/quickstart">Quickstart</a>.</li>
|
||
</ol></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><ol>
|
||
<li class="">Enable <strong>Get API key from environment variable</strong> to automatically enter your key from the TUI-generated <code>.env</code> file.
|
||
Alternatively, paste an OpenAI API key into the field.</li>
|
||
<li class="">Under <strong>Advanced settings</strong>, select your <strong>Language Model</strong>.</li>
|
||
<li class="">Click <strong>Complete</strong>.</li>
|
||
<li class="">In the second onboarding panel, select a provider for embeddings and select your <strong>Embedding Model</strong>.</li>
|
||
<li class="">To complete the onboarding tasks, click <strong>What is OpenRAG</strong>, and then click <strong>Add a Document</strong>.
|
||
Alternatively, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-right" aria-hidden="true"><path d="M5 12h14"></path><path d="m12 5 7 7-7 7"></path></svg> <strong>Skip overview</strong>.</li>
|
||
<li class="">Continue with the <a class="" href="/quickstart">Quickstart</a>.</li>
|
||
</ol></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><ol>
|
||
<li class="">Complete the fields for <strong>watsonx.ai API Endpoint</strong>, <strong>IBM Project ID</strong>, and <strong>IBM API key</strong>.
|
||
These values are found in your IBM watsonx deployment.</li>
|
||
<li class="">Under <strong>Advanced settings</strong>, select your <strong>Language Model</strong>.</li>
|
||
<li class="">Click <strong>Complete</strong>.</li>
|
||
<li class="">In the second onboarding panel, select a provider for embeddings and select your <strong>Embedding Model</strong>.</li>
|
||
<li class="">To complete the onboarding tasks, click <strong>What is OpenRAG</strong>, and then click <strong>Add a Document</strong>.
|
||
Alternatively, click <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-arrow-right" aria-hidden="true"><path d="M5 12h14"></path><path d="m12 5 7 7-7 7"></path></svg> <strong>Skip overview</strong>.</li>
|
||
<li class="">Continue with the <a class="" href="/quickstart">Quickstart</a>.</li>
|
||
</ol></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><div class="theme-admonition theme-admonition-tip admonition_xJq3 alert alert--success"><div class="admonitionHeading_Gvgb"><span class="admonitionIcon_Rf37"><svg viewBox="0 0 12 16"><path fill-rule="evenodd" d="M6.5 0C3.48 0 1 2.19 1 5c0 .92.55 2.25 1 3 1.34 2.25 1.78 2.78 2 4v1h5v-1c.22-1.22.66-1.75 2-4 .45-.75 1-2.08 1-3 0-2.81-2.48-5-5.5-5zm3.64 7.48c-.25.44-.47.8-.67 1.11-.86 1.41-1.25 2.06-1.45 3.23-.02.05-.02.11-.02.17H5c0-.06 0-.13-.02-.17-.2-1.17-.59-1.83-1.45-3.23-.2-.31-.42-.67-.67-1.11C2.44 6.78 2 5.65 2 5c0-2.2 2.02-4 4.5-4 1.22 0 2.36.42 3.22 1.19C10.55 2.94 11 3.94 11 5c0 .66-.44 1.78-.86 2.48zM4 14h5c-.23 1.14-1.3 2-2.5 2s-2.27-.86-2.5-2z"></path></svg></span>tip</div><div class="admonitionContent_BuS1"><p>Ollama is not included with OpenRAG. To install Ollama, see the <a href="https://docs.ollama.com/" target="_blank" rel="noopener noreferrer" class="">Ollama documentation</a>.</p></div></div><ol>
|
||
<li class="">To connect to an Ollama server running on your local machine, enter your Ollama server's base URL address.
|
||
The default Ollama server address is <code>http://localhost:11434</code>.
|
||
OpenRAG connects to the Ollama server and populates the model lists with the server's available models.</li>
|
||
<li class="">Select the <strong>Embedding Model</strong> and <strong>Language Model</strong> your Ollama server is running.<!-- -->
|
||
<details class="details_lb9f alert alert--info details_b_Ee" data-collapsed="true"><summary>Ollama model selection and external server configuration</summary><div><div class="collapsibleContent_i85q"><p>Using Ollama for your OpenRAG language model provider offers greater flexibility and configuration, but can also be overwhelming to start.
|
||
These recommendations are a reasonable starting point for users with at least one GPU and experience running LLMs locally.</p>
|
||
<p>For best performance, OpenRAG recommends OpenAI's <code>gpt-oss:20b</code> language model. However, this model uses 16GB of RAM, so consider using Ollama Cloud or running Ollama on a remote machine.</p>
|
||
<p>For generating embeddings, OpenRAG recommends the <a href="https://ollama.com/library/nomic-embed-text" target="_blank" rel="noopener noreferrer" class=""><code>nomic-embed-text</code></a> embedding model, which provides high-quality embeddings optimized for retrieval tasks.</p>
|
||
<p>To run models in <a href="https://docs.ollama.com/cloud" target="_blank" rel="noopener noreferrer" class=""><strong>Ollama Cloud</strong></a>, follow these steps:</p>
|
||
<ol>
|
||
<li class="">Sign in to Ollama Cloud.
|
||
In a terminal, enter <code>ollama signin</code> to connect your local environment with Ollama Cloud.</li>
|
||
<li class="">To run the model, in Ollama, select the <code>gpt-oss:20b-cloud</code> model, or run <code>ollama run gpt-oss:20b-cloud</code> in a terminal.
|
||
Ollama Cloud models are run at the same URL as your local Ollama server at <code>http://localhost:11434</code>, and automatically offloaded to Ollama's cloud service.</li>
|
||
<li class="">Connect OpenRAG to the same local Ollama server as you would for local models in onboarding, using the default address of <code>http://localhost:11434</code>.</li>
|
||
<li class="">In the <strong>Language model</strong> field, select the <code>gpt-oss:20b-cloud</code> model.</li>
|
||
</ol>
|
||
<br>
|
||
<p>To run models on a <strong>remote Ollama server</strong>, follow these steps:</p>
|
||
<ol>
|
||
<li class="">Ensure your remote Ollama server is accessible from your OpenRAG instance.</li>
|
||
<li class="">In the <strong>Ollama Base URL</strong> field, enter your remote Ollama server's base URL, such as <code>http://your-remote-server:11434</code>.
|
||
OpenRAG connects to the remote Ollama server and populates the lists with the server's available models.</li>
|
||
<li class="">Select your <strong>Embedding model</strong> and <strong>Language model</strong> from the available options.</li>
|
||
</ol></div></div></details>
|
||
</li>
|
||
<li class="">Click <strong>Complete</strong>.</li>
|
||
<li class="">To complete the onboarding tasks, click <strong>What is OpenRAG</strong>, and then click <strong>Add a Document</strong>.</li>
|
||
<li class="">Continue with the <a class="" href="/quickstart">Quickstart</a>.</li>
|
||
</ol></div></div></div>
|
||
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="container-management-commands">Container management commands<a href="#container-management-commands" class="hash-link" aria-label="Direct link to Container management commands" title="Direct link to Container management commands" translate="no"></a></h2>
|
||
<p>Manage your OpenRAG containers with the following commands.
|
||
These commands are also available in the TUI's <a class="" href="/install#status">Status menu</a>.</p>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="upgrade-containers">Upgrade containers<a href="#upgrade-containers" class="hash-link" aria-label="Direct link to Upgrade containers" title="Direct link to Upgrade containers" translate="no"></a></h3>
|
||
<p>Upgrade your containers to the latest version while preserving your data.</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">docker compose pull</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">docker compose up -d --force-recreate</span><br></span></code></pre></div></div>
|
||
<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="rebuild-containers-destructive">Rebuild containers (destructive)<a href="#rebuild-containers-destructive" class="hash-link" aria-label="Direct link to Rebuild containers (destructive)" title="Direct link to Rebuild containers (destructive)" translate="no"></a></h3>
|
||
<p>Reset state by rebuilding all of your containers.
|
||
Your OpenSearch and Langflow databases will be lost.
|
||
Documents stored in the <code>./documents</code> directory will persist, since the directory is mounted as a volume in the OpenRAG backend container.</p>
|
||
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">docker compose up --build --force-recreate --remove-orphans</span><br></span></code></pre></div></div>
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<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="remove-all-containers-and-data-destructive">Remove all containers and data (destructive)<a href="#remove-all-containers-and-data-destructive" class="hash-link" aria-label="Direct link to Remove all containers and data (destructive)" title="Direct link to Remove all containers and data (destructive)" translate="no"></a></h3>
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<p>Completely remove your OpenRAG installation and delete all data.
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This deletes all of your data, including OpenSearch data, uploaded documents, and authentication.</p>
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<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockContent_QJqH"><pre tabindex="0" class="prism-code language-bash codeBlock_bY9V thin-scrollbar" style="color:#393A34;background-color:#f6f8fa"><code class="codeBlockLines_e6Vv"><span class="token-line" style="color:#393A34"><span class="token plain">docker compose down --volumes --remove-orphans --rmi local</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain">docker system prune -f</span><br></span></code></pre></div></div></div><footer class="theme-doc-footer docusaurus-mt-lg"><div class="row margin-top--sm theme-doc-footer-edit-meta-row"><div class="col noPrint_WFHX"><a href="https://github.com/openrag/openrag/tree/main/docs/docs/get-started/docker.mdx" target="_blank" rel="noopener noreferrer" class="theme-edit-this-page"><svg fill="currentColor" height="20" width="20" viewBox="0 0 40 40" class="iconEdit_Z9Sw" aria-hidden="true"><g><path d="m34.5 11.7l-3 3.1-6.3-6.3 3.1-3q0.5-0.5 1.2-0.5t1.1 0.5l3.9 3.9q0.5 0.4 0.5 1.1t-0.5 1.2z m-29.5 17.1l18.4-18.5 6.3 6.3-18.4 18.4h-6.3v-6.2z"></path></g></svg>Edit this page</a></div><div class="col lastUpdated_JAkA"></div></div></footer></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/install"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">Install OpenRAG with TUI</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/agents"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">Langflow in OpenRAG</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#install-openrag-with-docker-compose" class="table-of-contents__link toc-highlight">Install OpenRAG with Docker Compose</a></li><li><a href="#application-onboarding" class="table-of-contents__link toc-highlight">Application onboarding</a></li><li><a href="#container-management-commands" class="table-of-contents__link toc-highlight">Container management commands</a><ul><li><a href="#upgrade-containers" class="table-of-contents__link toc-highlight">Upgrade containers</a></li><li><a href="#rebuild-containers-destructive" class="table-of-contents__link toc-highlight">Rebuild containers (destructive)</a></li><li><a href="#remove-all-containers-and-data-destructive" class="table-of-contents__link toc-highlight">Remove all containers and data (destructive)</a></li></ul></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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