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aimurphy 2026-01-15 15:28:33 +00:00
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@ -79,7 +79,9 @@ You can submit an <a href="https://github.com/langflow-ai/openrag/issues" target
</ul>
</li>
<li class="">
<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. If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.</p>
<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.
If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment that is suitable for most use cases.
The default CPU-only deployment doesn&#x27;t prevent you from using GPU acceleration in external services, such as Ollama servers.</p>
</li>
</ul>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="setup">Prepare your deployment<a href="#setup" class="hash-link" aria-label="Direct link to Prepare your deployment" title="Direct link to Prepare your deployment" translate="no">​</a></h2>
@ -162,16 +164,20 @@ Additionally, this enables the <a href="https://opensource.apple.com/projects/ml
<p>Deploy the OpenRAG containers locally using the appropriate Docker Compose configuration for your environment:</p>
<ul>
<li class="">
<p><strong>GPU-accelerated deployment</strong>: If your host machine has an NVIDIA GPU with CUDA support and compatible NVIDIA drivers, use the base <code>docker-compose.yml</code> file with the <code>docker-compose.gpu.yml</code> override.</p>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockTitle_OeMC">Docker</div><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 function" style="color:#d73a49">docker</span><span class="token plain"> compose </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.yml </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.gpu.yml up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockTitle_OeMC">Podman</div><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 function" style="color:#d73a49">podman</span><span class="token plain"> compose </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.yml </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.gpu.yml up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
</li>
<li class="">
<p><strong>CPU-only deployment</strong> (default): If your host machine doesn&#x27;t have NVIDIA GPU support, use the base <code>docker-compose.yml</code> file.</p>
<p><strong>CPU-only deployment</strong> (default, recommended): If your host machine doesn&#x27;t have NVIDIA GPU support, use the base <code>docker-compose.yml</code> file:</p>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockTitle_OeMC">Docker</div><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 function" style="color:#d73a49">docker</span><span class="token plain"> compose up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockTitle_OeMC">Podman</div><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 function" style="color:#d73a49">podman</span><span class="token plain"> compose up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
</li>
<li class="">
<p><strong>GPU-accelerated deployment</strong>: If your host machine has an NVIDIA GPU with CUDA support and compatible NVIDIA drivers, use the base <code>docker-compose.yml</code> file with the <code>docker-compose.gpu.yml</code> override:</p>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockTitle_OeMC">Docker</div><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 function" style="color:#d73a49">docker</span><span class="token plain"> compose </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.yml </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.gpu.yml up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
<div class="language-bash codeBlockContainer_Ckt0 theme-code-block" style="--prism-color:#393A34;--prism-background-color:#f6f8fa"><div class="codeBlockTitle_OeMC">Podman</div><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 function" style="color:#d73a49">podman</span><span class="token plain"> compose </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.yml </span><span class="token parameter variable" style="color:#36acaa">-f</span><span class="token plain"> docker-compose.gpu.yml up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
</li>
</ul>
<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>GPU acceleration isn&#x27;t required for most use cases.
OpenRAG&#x27;s CPU-only deployment doesn&#x27;t prevent you from using GPU acceleration in external services, such as Ollama servers.</p>
<p>GPU acceleration is required only for specific use cases, typically involving customization of the ingestion flows or ingestion logic.
For example, writing alternate ingest logic in OpenRAG that uses GPUs directly in the container, or customizing the ingestion flows to use Langflow&#x27;s Docling component with GPU acceleration instead of OpenRAG&#x27;s <code>docling serve</code> service.</p></div></div>
</li>
<li class="">
<p>Wait for the OpenRAG containers to start, and then confirm that all containers are running:</p>

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@ -80,7 +80,9 @@ You can submit an <a href="https://github.com/langflow-ai/openrag/issues" target
</ul>
</li>
<li class="">
<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. If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.</p>
<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.
If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment that is suitable for most use cases.
The default CPU-only deployment doesn&#x27;t prevent you from using GPU acceleration in external services, such as Ollama servers.</p>
</li>
</ul>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="install-and-start-openrag-with-uv">Install and start OpenRAG with uv<a href="#install-and-start-openrag-with-uv" class="hash-link" aria-label="Direct link to Install and start OpenRAG with uv" title="Direct link to Install and start OpenRAG with uv" translate="no">​</a></h2>

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@ -82,7 +82,9 @@ You can submit an <a href="https://github.com/langflow-ai/openrag/issues" target
</ul>
</li>
<li class="">
<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. If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.</p>
<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.
If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment that is suitable for most use cases.
The default CPU-only deployment doesn&#x27;t prevent you from using GPU acceleration in external services, such as Ollama servers.</p>
</li>
</ul>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="install-and-run-openrag-with-uvx">Install and run OpenRAG with uvx<a href="#install-and-run-openrag-with-uvx" class="hash-link" aria-label="Direct link to Install and run OpenRAG with uvx" title="Direct link to Install and run OpenRAG with uvx" translate="no">​</a></h2>

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install/index.html
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@ -68,7 +68,9 @@ You can submit an <a href="https://github.com/langflow-ai/openrag/issues" target
</ul>
</li>
<li class="">
<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. If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment.</p>
<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.
If you don&#x27;t have GPU capabilities, OpenRAG provides an alternate CPU-only deployment that is suitable for most use cases.
The default CPU-only deployment doesn&#x27;t prevent you from using GPU acceleration in external services, such as Ollama servers.</p>
</li>
</ul>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="install">Run the installer script<a href="#install" class="hash-link" aria-label="Direct link to Run the installer script" title="Direct link to Run the installer script" translate="no">​</a></h2>

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@ -10,7 +10,7 @@
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reference/api-sdk-overview/index.html
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reinstall/index.html
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sitemap.xml
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@ -1 +1 @@
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support/troubleshoot/index.html
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tui/index.html
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@ -35,6 +35,10 @@ For more information, see <a class="" href="/manage-services">Manage OpenRAG ser
<p>You can toggle between GPU and CPU mode from within the TUI if your system has compatible GPU hardware and drivers installed.</p>
<p>In the TUI, click <strong>Status</strong>, and then click <strong>Switch to GPU Mode</strong> or <strong>Switch to CPU Mode</strong>.</p>
<p>This change requires restarting all OpenRAG services because each mode has its own <code>docker-compose</code> file.</p>
<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>GPU acceleration isn&#x27;t required for most use cases.
OpenRAG&#x27;s CPU-only deployment doesn&#x27;t prevent you from using GPU acceleration in external services, such as Ollama servers.</p>
<p>GPU acceleration is required only for specific use cases, typically involving customization of the ingestion flows or ingestion logic.
For example, writing alternate ingest logic in OpenRAG that uses GPUs directly in the container, or customizing the ingestion flows to use Langflow&#x27;s Docling component with GPU acceleration instead of OpenRAG&#x27;s <code>docling serve</code> service.</p></div></div>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="exit-the-openrag-tui">Exit the OpenRAG TUI<a href="#exit-the-openrag-tui" class="hash-link" aria-label="Direct link to Exit the OpenRAG TUI" title="Direct link to Exit the OpenRAG TUI" translate="no">​</a></h2>
<p>To exit the OpenRAG TUI, press <kbd>q</kbd> on the TUI main page.</p>
<p>Exiting the TUI doesn&#x27;t stop your OpenRAG services.

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uninstall/index.html
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