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@ -150,18 +150,17 @@ Additionally, this enables the <a href="https://opensource.apple.com/projects/ml
<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: </span><span class="token number" style="color:#36acaa">27746</span><br></span></code></pre></div></div>
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<li class="">
<p>Deploy the OpenRAG containers locally using the appropriate Docker Compose file for your environment.
Both files deploy the same services.</p>
<p>Deploy the OpenRAG containers locally using the appropriate Docker Compose configuration for your environment.</p>
<ul>
<li class="">
<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>: If your host machine has an NVIDIA GPU with CUDA support and compatible NVIDIA drivers, you can use this file to deploy OpenRAG with accelerated processing.</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 build</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><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 build</span><br></span><span class="token-line" style="color:#393A34"><span class="token plain"></span><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>
<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><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>: If your host machine doesn&#x27;t have NVIDIA GPU support, use this file for a CPU-only OpenRAG deployment.</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-cpu.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-cpu.yml up </span><span class="token parameter variable" style="color:#36acaa">-d</span><br></span></code></pre></div></div>
<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>
<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>
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<p>Verify that the value of the <code>LANGFLOW_SUPERUSER</code> environment variable is correct.
For more information about this variable and how this variable controls Langflow access, see <a class="" href="/reference/configuration#langflow-settings">Langflow settings</a>.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="container-out-of-memory-errors">Container out of memory errors<a href="#container-out-of-memory-errors" class="hash-link" aria-label="Direct link to Container out of memory errors" title="Direct link to Container out of memory errors" translate="no"></a></h2>
<p>Increase Docker memory allocation or use <a href="https://github.com/langflow-ai/openrag/blob/main/docker-compose-cpu.yml" target="_blank" rel="noopener noreferrer" class="">docker-compose-cpu.yml</a> to deploy OpenRAG.</p>
<p>Increase Docker memory allocation or use the CPU-only deployment (base <code>docker-compose.yml</code> without GPU override) to reduce memory usage.</p>
<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="memory-issue-with-podman-on-macos">Memory issue with Podman on macOS<a href="#memory-issue-with-podman-on-macos" class="hash-link" aria-label="Direct link to Memory issue with Podman on macOS" title="Direct link to Memory issue with Podman on macOS" translate="no"></a></h2>
<p>If you&#x27;re using Podman on macOS, you might need to increase VM memory on your Podman machine.
This example increases the machine size to 8 GB of RAM, which should be sufficient to run OpenRAG.</p>

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