From ce92e1c02e512a847f2ecbe66f1a7770ed0a09bd Mon Sep 17 00:00:00 2001
From: aimurphy <aimurphy@users.noreply.github.com>
Date: Sat, 17 Jan 2026 00:29:31 +0000
Subject: [PATCH] deploy: 83c90a760f2dc8dfbac15e2005a0f602fddc9748

---
 404.html                                      |  2 +-
 agents/index.html                             | 33 ++++---
 assets/js/0ba6a408.e094a5ab.js                |  1 +
 assets/js/0ba6a408.e346183d.js                |  1 -
 assets/js/21afe7ac.52236fad.js                |  1 -
 assets/js/21afe7ac.a600b84a.js                |  1 +
 .../js/{2279.44341cb1.js => 2279.632a870f.js} |  4 +-
 ...CENSE.txt => 2279.632a870f.js.LICENSE.txt} |  0
 assets/js/22dd74f7.5e930b31.js                |  1 +
 assets/js/22dd74f7.e18964f9.js                |  1 -
 assets/js/27b4a875.a1e62294.js                |  1 +
 assets/js/27b4a875.e4ca90dd.js                |  1 -
 assets/js/33362219.9fafa665.js                |  1 -
 assets/js/33362219.aaf41871.js                |  1 +
 .../js/{6567.08800141.js => 6567.d8e34fb4.js} |  2 +-
 assets/js/71478a5d.6bdf311d.js                |  1 -
 assets/js/71478a5d.d81ec55b.js                |  1 +
 ...371cc.39e2dd12.js => 749371cc.bcff9550.js} |  2 +-
 ...20ffe.fae170b0.js => af920ffe.3d835e3d.js} |  2 +-
 assets/js/c8078f0a.645de39c.js                |  1 -
 assets/js/c8078f0a.a64dd5e0.js                |  1 +
 ...c3c0c.f282f8bd.js => ca2c3c0c.c5c6a097.js} |  2 +-
 ...n.eb2f25cb.js => runtime~main.a09b72d8.js} |  2 +-
 chat/index.html                               | 26 ++---
 docker/index.html                             | 12 ++-
 index.html                                    |  4 +-
 ingestion/index.html                          | 56 +++++------
 install-options/index.html                    |  4 +-
 install-uv/index.html                         |  4 +-
 install-uvx/index.html                        |  4 +-
 install-windows/index.html                    |  4 +-
 install/index.html                            |  4 +-
 knowledge-filters/index.html                  | 76 ++++++++++-----
 knowledge/index.html                          | 96 ++++++++++++++-----
 manage-services/index.html                    |  4 +-
 quickstart/index.html                         |  6 +-
 reference/api-sdk-overview/index.html         |  4 +-
 reference/configuration/index.html            |  9 +-
 reinstall/index.html                          |  4 +-
 search/index.html                             |  2 +-
 sitemap.xml                                   |  2 +-
 support/contribute/index.html                 |  4 +-
 support/troubleshoot/index.html               |  4 +-
 tui/index.html                                |  6 +-
 uninstall/index.html                          |  4 +-
 upgrade/index.html                            |  4 +-
 46 files changed, 251 insertions(+), 155 deletions(-)
 create mode 100644 assets/js/0ba6a408.e094a5ab.js
 delete mode 100644 assets/js/0ba6a408.e346183d.js
 delete mode 100644 assets/js/21afe7ac.52236fad.js
 create mode 100644 assets/js/21afe7ac.a600b84a.js
 rename assets/js/{2279.44341cb1.js => 2279.632a870f.js} (99%)
 rename assets/js/{2279.44341cb1.js.LICENSE.txt => 2279.632a870f.js.LICENSE.txt} (100%)
 create mode 100644 assets/js/22dd74f7.5e930b31.js
 delete mode 100644 assets/js/22dd74f7.e18964f9.js
 create mode 100644 assets/js/27b4a875.a1e62294.js
 delete mode 100644 assets/js/27b4a875.e4ca90dd.js
 delete mode 100644 assets/js/33362219.9fafa665.js
 create mode 100644 assets/js/33362219.aaf41871.js
 rename assets/js/{6567.08800141.js => 6567.d8e34fb4.js} (98%)
 delete mode 100644 assets/js/71478a5d.6bdf311d.js
 create mode 100644 assets/js/71478a5d.d81ec55b.js
 rename assets/js/{749371cc.39e2dd12.js => 749371cc.bcff9550.js} (81%)
 rename assets/js/{af920ffe.fae170b0.js => af920ffe.3d835e3d.js} (76%)
 delete mode 100644 assets/js/c8078f0a.645de39c.js
 create mode 100644 assets/js/c8078f0a.a64dd5e0.js
 rename assets/js/{ca2c3c0c.f282f8bd.js => ca2c3c0c.c5c6a097.js} (71%)
 rename assets/js/{runtime~main.eb2f25cb.js => runtime~main.a09b72d8.js} (57%)

diff --git a/404.html b/404.html
index 3dc638ec..9801595c 100644
--- a/404.html
+++ b/404.html
@@ -10,7 +10,7 @@
 <script>!function(){function e(){if(void 0!==window.truste&&window.truste.cma){var e=window.truste.cma.callApi("getConsent",window.location.href)||{},n=1===e[2],t=1===e[3];gtag("consent","update",{ad_storage:n?"granted":"denied",ad_user_data:n?"granted":"denied",ad_personalization:n?"granted":"denied",analytics_storage:t?"granted":"denied"})}}window.addEventListener&&(window.addEventListener("cm_data_subject_consent_changed",e),window.addEventListener("cm_consent_preferences_set",e)),"complete"===document.readyState?e():window.addEventListener("load",e)}()</script>
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 <script src="//1.www.s81c.com/common/stats/ibm-common.js" async="true"></script><link rel="stylesheet" href="/assets/css/styles.29e42e49.css">
-<script src="/assets/js/runtime~main.eb2f25cb.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.a09b72d8.js" defer="defer"></script>
 <script src="/assets/js/main.e1ba3126.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
diff --git a/agents/index.html b/agents/index.html
index 15846248..7212beee 100644
--- a/agents/index.html
+++ b/agents/index.html
@@ -10,14 +10,14 @@
 <script>!function(){function e(){if(void 0!==window.truste&&window.truste.cma){var e=window.truste.cma.callApi("getConsent",window.location.href)||{},n=1===e[2],t=1===e[3];gtag("consent","update",{ad_storage:n?"granted":"denied",ad_user_data:n?"granted":"denied",ad_personalization:n?"granted":"denied",analytics_storage:t?"granted":"denied"})}}window.addEventListener&&(window.addEventListener("cm_data_subject_consent_changed",e),window.addEventListener("cm_consent_preferences_set",e)),"complete"===document.readyState?e():window.addEventListener("load",e)}()</script>
 <script>window._ibmAnalytics={settings:{name:"DataStax",tealiumProfileName:"ibm-subsidiary"},trustarc:{privacyPolicyLink:"https://ibm.com/privacy"}},window.digitalData={page:{pageInfo:{ibm:{siteId:"IBM_DataStax"}},category:{primaryCategory:"PC230"}}}</script>
 <script src="//1.www.s81c.com/common/stats/ibm-common.js" async="true"></script><link rel="stylesheet" href="/assets/css/styles.29e42e49.css">
-<script src="/assets/js/runtime~main.eb2f25cb.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.a09b72d8.js" defer="defer"></script>
 <script src="/assets/js/main.e1ba3126.js" defer="defer"></script>
 </head>
 <body class="navigation-with-keyboard">
 <svg style="display: none;"><defs>
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class="docsWrapper_hBAB"><button aria-label="Scroll back to top" class="clean-btn theme-back-to-top-button backToTopButton_sjWU" type="button"></button><div class="docRoot_UBD9"><aside class="theme-doc-sidebar-container docSidebarContainer_YfHR"><div class="sidebarViewport_aRkj"><div class="sidebar_njMd"><nav aria-label="Docs sidebar" class="menu thin-scrollbar menu_SIkG"><ul class="theme-doc-sidebar-menu menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/"><span title="About OpenRAG" class="linkLabel_WmDU">About OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/quickstart"><span title="Quickstart" class="linkLabel_WmDU">Quickstart</span></a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="categoryLink_byQd menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/install-options"><span title="Installation" class="categoryLinkLabel_W154">Installation</span></a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" href="/agents"><span title="Flows" class="linkLabel_WmDU">Flows</span></a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="categoryLink_byQd menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/knowledge"><span title="Knowledge" class="categoryLinkLabel_W154">Knowledge</span></a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/chat"><span title="Chat" class="linkLabel_WmDU">Chat</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/configuration"><span title="Environment variables" class="linkLabel_WmDU">Environment variables</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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">Flows</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>Use Langflow in OpenRAG</h1></header><p>OpenRAG includes a built-in <a href="https://docs.langflow.org/" target="_blank" rel="noopener noreferrer" class="">Langflow</a> instance for creating and managing functional application workflows called <em>flows</em>.
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class="docMainContainer_TBSr"><div 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">Flows</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>Use Langflow in OpenRAG</h1></header><p>OpenRAG includes a built-in <a href="https://docs.langflow.org/" target="_blank" rel="noopener noreferrer" class="">Langflow</a> instance for creating and managing functional application workflows called <em>flows</em>.
 In a flow, the individual workflow steps are represented by <a href="https://docs.langflow.org/concepts-components" target="_blank" rel="noopener noreferrer" class=""><em>components</em></a> that are connected together to form a complete process.</p>
 <p>OpenRAG includes several built-in flows:</p>
 <ul>
@@ -28,29 +28,40 @@ In a flow, the individual workflow steps are represented by <a href="https://doc
 <p>You can customize these flows and create your own flows using OpenRAG&#x27;s embedded Langflow visual editor.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="inspect-and-modify-flows">Inspect and modify flows<a href="#inspect-and-modify-flows" class="hash-link" aria-label="Direct link to Inspect and modify flows" title="Direct link to Inspect and modify flows" translate="no">​</a></h2>
 <p>All OpenRAG flows are designed to be modular, performant, and provider-agnostic.</p>
-<p>To modify a flow in OpenRAG, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>.
-From here, you can quickly edit commonly used parameters, such as the <strong>Language model</strong> and <strong>Agent Instructions</strong>.
-To further explore and edit the flow, click <strong>Edit in Langflow</strong> to launch the embedded <a href="https://docs.langflow.org/concepts-overview" target="_blank" rel="noopener noreferrer" class="">Langflow visual editor</a> where you can fully <a href="https://docs.langflow.org/concepts-flows" target="_blank" rel="noopener noreferrer" class="">customize the flow</a> to suit your use case.</p>
-<p>For example, to view and edit the built-in <strong>Chat</strong> flow (the <strong>OpenRAG OpenSearch Agent</strong> flow), do the following:</p>
+<p>To view and modify a flow in OpenRAG, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>.
+From here, you can manage OAuth connectors, model providers, and common parameters for the <strong>Agent</strong> and <strong>Knowledge Ingestion</strong> flows.</p>
+<p>To further explore and edit flows, click <strong>Edit in Langflow</strong> to launch the embedded <a href="https://docs.langflow.org/concepts-overview" target="_blank" rel="noopener noreferrer" class="">Langflow visual editor</a> where you can fully <a href="https://docs.langflow.org/concepts-flows" target="_blank" rel="noopener noreferrer" class="">customize the flow</a> to suit your use case.</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>After you click <strong>Edit in Langflow</strong>, you can access and edit all of OpenRAG&#x27;s built-in flows from the Langflow editor&#x27;s <a href="https://docs.langflow.org/concepts-flows#projects" target="_blank" rel="noopener noreferrer" class=""><strong>Projects</strong> page</a>.</p><p>If you edit any flows other than the <strong>Agent</strong> or <strong>Knowledge Ingestion</strong> flows, it is recommended that you <a href="https://docs.langflow.org/concepts-flows-import" target="_blank" rel="noopener noreferrer" class="">export the flows</a> before editing so you can revert them to their original state if needed.</p></div></div>
+<p>For example, the following steps explain how to edit the built-in <strong>Agent</strong> flow, which is the <strong>OpenRAG OpenSearch Agent</strong> flow used for the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>:</p>
 <ol>
 <li class="">
-<p>In OpenRAG, 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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>.</p>
+<p>In OpenRAG, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>, and then find the <strong>Agent</strong> section.</p>
 </li>
 <li class="">
-<p>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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>, and then click <strong>Edit in Langflow</strong> to launch the Langflow visual editor in a new browser window.</p>
+<p>If you only need to edit the language model or agent instructions, edit those fields directly on the <strong>Settings</strong> page.
+Language model changes are saved automatically.
+To apply new instructions, click <strong>Save Agent Instructions</strong>.</p>
+</li>
+<li class="">
+<p>To edit all flow settings and components with full customization capabilities, click <strong>Edit in Langflow</strong> to launch the Langflow visual editor in a new browser tab.</p>
 <p>If prompted to acknowledge that you are entering Langflow, click <strong>Proceed</strong>.</p>
 <p>If Langflow requests login information, enter the <code>LANGFLOW_SUPERUSER</code> and <code>LANGFLOW_SUPERUSER_PASSWORD</code> from your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.</p>
 <p><img decoding="async" loading="lazy" alt="OpenRAG OpenSearch Agent flow" src="/assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png" width="4084" height="2176" class="img_ev3q"></p>
 </li>
 <li class="">
 <p>Modify the flow as desired, and then press <kbd>Command</kbd>+<kbd>S</kbd> (<kbd>Ctrl</kbd>+<kbd>S</kbd>) to save your changes.</p>
-<p>You can close the Langflow browser window, or leave it open if you want to continue experimenting with the flow editor.</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>If you modify the built-in <strong>Chat</strong> flow, make sure you 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> in the <strong>Conversations</strong> tab to start a new conversation. This ensures that the chat doesn&#x27;t persist any context from the previous conversation with the original flow settings.</p></div></div>
+<p>You can close the Langflow browser tab, or leave it open if you want to continue experimenting with the flow editor.</p>
+</li>
+<li class="">
+<p>After you modify any <strong>Agent</strong> flow settings, go to the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>, and then 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Start new conversation</strong> in the <strong>Conversations</strong> list.
+This ensures that the chat doesn&#x27;t persist any context from the previous conversation with the original flow settings.</p>
 </li>
 </ol>
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="revert-a-built-in-flow-to-its-original-configuration">Revert a built-in flow to its original configuration<a href="#revert-a-built-in-flow-to-its-original-configuration" class="hash-link" aria-label="Direct link to Revert a built-in flow to its original configuration" title="Direct link to Revert a built-in flow to its original configuration" translate="no">​</a></h3>
-<p>After you edit a built-in flow, you can click <strong>Restore flow</strong> on the <strong>Settings</strong> page to revert the flow to its original state when you first installed OpenRAG.
+<p>After you edit the <strong>Agent</strong> or <strong>Knowledge Ingestion</strong> built-in flows, you can click <strong>Restore flow</strong> on the <strong>Settings</strong> page to revert either flow to its original state when you first installed OpenRAG.
 This is a destructive action that discards all customizations to the flow.</p>
+<p>This option isn&#x27;t available for other built-in flows such as the <strong>Nudges</strong> flow.
+To restore these flows to their original state, you must reimport the flow from a backup (if you exported one before editing), or <a class="" href="/manage-services#reset-containers">reset</a> or <a class="" href="/reinstall">reinstall</a> OpenRAG.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="build-custom-flows-and-use-other-langflow-functionality">Build custom flows and use other Langflow functionality<a href="#build-custom-flows-and-use-other-langflow-functionality" class="hash-link" aria-label="Direct link to Build custom flows and use other Langflow functionality" title="Direct link to Build custom flows and use other Langflow functionality" translate="no">​</a></h2>
 <p>In addition to OpenRAG&#x27;s built-in flows, all Langflow features are available through OpenRAG, including the ability to <a href="https://docs.langflow.org/concepts-flows" target="_blank" rel="noopener noreferrer" class="">create your own flows</a> and popular extensibility features such as the following:</p>
 <ul>
diff --git a/assets/js/0ba6a408.e094a5ab.js b/assets/js/0ba6a408.e094a5ab.js
new file mode 100644
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+"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[571],{3227:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>h,contentTitle:()=>a,default:()=>p,frontMatter:()=>c,metadata:()=>t,toc:()=>u});const t=JSON.parse('{"id":"core-components/knowledge","title":"Configure knowledge","description":"OpenRAG includes a built-in OpenSearch instance that serves as the underlying datastore for your knowledge (documents).","source":"@site/docs/core-components/knowledge.mdx","sourceDirName":"core-components","slug":"/knowledge","permalink":"/knowledge","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/core-components/knowledge.mdx","tags":[],"version":"current","frontMatter":{"title":"Configure knowledge","slug":"/knowledge"},"sidebar":"tutorialSidebar","previous":{"title":"Flows","permalink":"/agents"},"next":{"title":"Ingest knowledge","permalink":"/ingestion"}}');var i=s(4848),o=s(8453),r=s(9179),d=s(7637),l=s(6567);const c={title:"Configure knowledge",slug:"/knowledge"},a=void 0,h={},u=[{value:"Browse knowledge",id:"browse-knowledge",level:2},{value:"Inspect knowledge",id:"inspect-knowledge",level:3},...l.RM,{value:"Search knowledge",id:"search-knowledge",level:3},{value:"Default documents",id:"default-documents",level:3},{value:"OpenSearch authentication and document access",id:"auth",level:2},...d.RM,{value:"OpenSearch indexes",id:"opensearch-indexes",level:2},{value:"Knowledge ingestion settings",id:"knowledge-ingestion-settings",level:2},{value:"Set the embedding model and dimensions",id:"set-the-embedding-model-and-dimensions",level:3},{value:"Set Docling parameters",id:"set-docling-parameters",level:3},{value:"Select a Docling implementation",id:"select-a-docling-implementation",level:4},{value:"Configure Docling ingestion settings",id:"configure-docling-ingestion-settings",level:4},{value:"Set the local documents path",id:"set-the-local-documents-path",level:3},{value:"Delete knowledge",id:"delete-knowledge",level:2},{value:"See also",id:"see-also",level:2}];function g(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",h4:"h4",li:"li",p:"p",strong:"strong",ul:"ul",...(0,o.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)(n.p,{children:["OpenRAG includes a built-in ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/",children:"OpenSearch"})," instance that serves as the underlying datastore for your ",(0,i.jsx)(n.em,{children:"knowledge"})," (documents).\nThis specialized database is used to store and retrieve your documents and the associated vector data (embeddings)."]}),"\n",(0,i.jsxs)(n.p,{children:["The documents in your OpenSearch knowledge base provide specialized context in addition to the general knowledge available to the language model that you select when you ",(0,i.jsx)(n.a,{href:"/install-options",children:"install OpenRAG"})," or ",(0,i.jsx)(n.a,{href:"/agents",children:"edit a flow"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["You can ",(0,i.jsx)(n.a,{href:"/ingestion",children:"upload documents"})," from a variety of sources to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.\nDocuments are processed through OpenRAG's knowledge ingestion flows with Docling."]}),"\n",(0,i.jsxs)(n.p,{children:["Then, the ",(0,i.jsxs)(n.a,{href:"/chat",children:["OpenRAG ",(0,i.jsx)(n.strong,{children:"Chat"})]})," can run ",(0,i.jsx)(n.a,{href:"https://www.ibm.com/think/topics/vector-search",children:"similarity searches"})," against your OpenSearch database to retrieve relevant information and generate context-aware responses."]}),"\n",(0,i.jsxs)(n.p,{children:["You can configure how documents are ingested and how the ",(0,i.jsx)(n.strong,{children:"Chat"})," interacts with your knowledge base."]}),"\n",(0,i.jsx)(n.h2,{id:"browse-knowledge",children:"Browse knowledge"}),"\n",(0,i.jsxs)(n.p,{children:["The ",(0,i.jsx)(n.strong,{children:"Knowledge"})," page lists the documents OpenRAG has ingested into your OpenSearch database, specifically in an ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/getting-started/intro/#index",children:"OpenSearch index"})," named ",(0,i.jsx)(n.code,{children:"documents"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["To explore the raw contents of your knowledge base, click ",(0,i.jsx)(r.A,{name:"Library","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Knowledge"})," to get a list of all ingested documents."]}),"\n",(0,i.jsx)(n.h3,{id:"inspect-knowledge",children:"Inspect knowledge"}),"\n",(0,i.jsxs)(n.p,{children:["For each document, the ",(0,i.jsx)(n.strong,{children:"Knowledge"})," page provides the following information:"]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Source"}),": Name of the ingested content, such as the file name."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Size"})}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsx)(n.p,{children:(0,i.jsx)(n.strong,{children:"Type"})}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Owner"}),": User that uploaded the document."]}),"\n",(0,i.jsx)(l.Ay,{}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Chunks"}),": Number of chunks created by splitting the document during ingestion."]}),"\n",(0,i.jsxs)(n.p,{children:["Click a document to view the individual chunks and technical details related to chunking.\nIf the chunks seem incorrect or incomplete, see ",(0,i.jsx)(n.a,{href:"/ingestion#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Avg score"}),": Average similarity score across all chunks of the document."]}),"\n",(0,i.jsxs)(n.p,{children:["If you ",(0,i.jsx)(n.a,{href:"#search-knowledge",children:"search the knowledge base"}),", the ",(0,i.jsx)(n.strong,{children:"Avg score"})," column shows the similarity score for your search query or filter."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Embedding model"})," and ",(0,i.jsx)(n.strong,{children:"Dimensions"}),": The embedding model and dimensions used to embed the chunks."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Status"}),": Status of document ingestion.\nIf ingestion is complete and successful, then the status is ",(0,i.jsx)(n.strong,{children:"Active"}),".\nFor more information, see ",(0,i.jsx)(n.a,{href:"/ingestion#monitor-ingestion",children:"Monitor ingestion"}),"."]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"search-knowledge",children:"Search knowledge"}),"\n",(0,i.jsxs)(n.p,{children:["You can use the search field on the ",(0,i.jsx)(n.strong,{children:"Knowledge"})," page to find documents using semantic search and knowledge filters:"]}),"\n",(0,i.jsxs)(n.p,{children:["To search all documents, enter a search string in the search field, and then press ",(0,i.jsx)("kbd",{children:"Enter"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["To apply a ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"knowledge filter"}),", select the filter from the ",(0,i.jsx)(n.strong,{children:"Knowledge Filters"})," list.\nThe filter settings pane opens, and the filter appears in the search field.\nTo remove the filter, close the filter settings pane or clear the filter from the search field."]}),"\n",(0,i.jsxs)(n.p,{children:["You can use the filter alone or in combination with a search string.\nIf a knowledge filter has a ",(0,i.jsx)(n.strong,{children:"Search Query"}),", that query is applied in addition to any text string you enter in the search field."]}),"\n",(0,i.jsx)(n.p,{children:"Only one filter can be applied at a time."}),"\n",(0,i.jsx)(n.h3,{id:"default-documents",children:"Default documents"}),"\n",(0,i.jsxs)(n.p,{children:["By default, OpenRAG includes some initial documents about OpenRAG.\nThese documents are ingested automatically during the ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"application onboarding process"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["You can use these documents to ask OpenRAG about itself, or to test the ",(0,i.jsx)(n.a,{href:"/chat",children:(0,i.jsx)(n.strong,{children:"Chat"})})," feature before uploading your own documents."]}),"\n",(0,i.jsxs)(n.p,{children:["If you ",(0,i.jsx)(n.a,{href:"#delete-knowledge",children:"delete these documents"}),", then you won't be able to ask OpenRAG about itself and it's own functionality.\nIt is recommended that you keep these documents, and use ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"filters"})," to separate them from your other knowledge.\nAn ",(0,i.jsx)(n.strong,{children:"OpenRAG Docs"})," filter is created automatically for these documents."]}),"\n",(0,i.jsx)(n.h2,{id:"auth",children:"OpenSearch authentication and document access"}),"\n",(0,i.jsxs)(n.p,{children:["When you ",(0,i.jsx)(n.a,{href:"/install-options",children:"install OpenRAG"}),", you provide the initial configuration values for your OpenRAG services, including authentication credentials for OpenSearch and OAuth connectors.\nThis configuration determines how OpenRAG authenticates with your deployment's OpenSearch instance, and it controls user access to documents in your knowledge base:"]}),"\n",(0,i.jsx)(d.Ay,{}),"\n",(0,i.jsx)(n.h2,{id:"opensearch-indexes",children:"OpenSearch indexes"}),"\n",(0,i.jsxs)(n.p,{children:["An ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/getting-started/intro/#index",children:"OpenSearch index"})," is a collection of documents in an OpenSearch database."]}),"\n",(0,i.jsxs)(n.p,{children:["By default, all documents you upload to your OpenRAG knowledge base are stored in an index named ",(0,i.jsx)(n.code,{children:"documents"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["It is possible to change the index name by ",(0,i.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"editing the ingestion flow"}),".\nHowever, this can impact dependent processes, such as the ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"filters"})," and ",(0,i.jsx)(n.a,{href:"/chat",children:(0,i.jsx)(n.strong,{children:"Chat"})}),", that reference the ",(0,i.jsx)(n.code,{children:"documents"})," index by default.\nMake sure you edit other flows as needed to ensure all processes use the same index name."]}),"\n",(0,i.jsxs)(n.p,{children:["If you encounter errors or unexpected behavior after changing the index name, you can ",(0,i.jsx)(n.a,{href:"/agents#revert-a-built-in-flow-to-its-original-configuration",children:"revert the flows to their original configuration"}),", or ",(0,i.jsx)(n.a,{href:"/knowledge#delete-knowledge",children:"delete knowledge"})," to clear the existing documents from your knowledge base."]}),"\n",(0,i.jsx)(n.h2,{id:"knowledge-ingestion-settings",children:"Knowledge ingestion settings"}),"\n",(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsx)(n.p,{children:"Knowledge ingestion settings apply to documents you upload after making the changes.\nDocuments uploaded before changing these settings aren't reprocessed."})}),"\n",(0,i.jsx)(n.p,{children:"After changing knowledge ingestion settings, you must determine if you need to reupload any documents to be consistent with the new settings."}),"\n",(0,i.jsx)(n.p,{children:"It isn't always necessary to reupload documents after changing knowledge ingestion settings.\nFor example, it is typical to upload some documents with OCR enabled and others without OCR enabled."}),"\n",(0,i.jsxs)(n.p,{children:["If needed, you can use ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"filters"})," to separate documents that you uploaded with different settings, such as different embedding models."]}),"\n",(0,i.jsx)(n.h3,{id:"set-the-embedding-model-and-dimensions",children:"Set the embedding model and dimensions"}),"\n",(0,i.jsxs)(n.p,{children:["When you ",(0,i.jsx)(n.a,{href:"/install-options",children:"install OpenRAG"}),", you select at least one embedding model during the ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"application onboarding process"}),".\nOpenRAG automatically detects and configures the appropriate vector dimensions for your selected embedding model, ensuring optimal search performance and compatibility."]}),"\n",(0,i.jsxs)(n.p,{children:["In the OpenRAG repository, you can find the complete list of supported models in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/services/models_service.py",children:(0,i.jsx)(n.code,{children:"models_service.py"})})," and the corresponding vector dimensions in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/config/settings.py",children:(0,i.jsx)(n.code,{children:"settings.py"})}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["During the application onboarding process, you can select from the supported models.\nThe default embedding dimension is ",(0,i.jsx)(n.code,{children:"1536"}),", and the default model is the OpenAI ",(0,i.jsx)(n.code,{children:"text-embedding-3-small"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["If you want to use an unsupported model, you must manually set the model in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nIf you use an unsupported embedding model that doesn't have defined dimensions in ",(0,i.jsx)(n.code,{children:"settings.py"}),", then OpenRAG falls back to the default dimensions (1536) and logs a warning. OpenRAG's OpenSearch instance and flows continue to work, but ",(0,i.jsx)(n.a,{href:"https://www.ibm.com/think/topics/vector-search",children:"similarity search"})," quality can be affected if the actual model dimensions aren't 1536."]}),"\n",(0,i.jsxs)(n.p,{children:["To change the embedding model after onboarding, modify the embedding model configuration on the OpenRAG ",(0,i.jsx)(n.strong,{children:"Settings"})," page or in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nThis ensures that all relevant ",(0,i.jsx)(n.a,{href:"/agents",children:"OpenRAG flows"})," are updated to use the new embedding model configuration."]}),"\n",(0,i.jsxs)(n.p,{children:["If you edit these settings in the ",(0,i.jsx)(n.code,{children:".env"})," file, you must ",(0,i.jsx)(n.a,{href:"/manage-services#stop-and-start-containers",children:"stop and restart the OpenRAG containers"})," to apply the changes."]}),"\n",(0,i.jsx)(n.h3,{id:"set-docling-parameters",children:"Set Docling parameters"}),"\n",(0,i.jsxs)(n.p,{children:["OpenRAG uses ",(0,i.jsx)(n.a,{href:"https://docling-project.github.io/docling/",children:"Docling"})," for document ingestion because it supports many file formats, processes tables and images well, and performs efficiently."]}),"\n",(0,i.jsxs)(n.p,{children:["When you ",(0,i.jsx)(n.a,{href:"/ingestion",children:"upload documents"}),", Docling processes the files, splits them into chunks, and stores them as separate, structured documents in your OpenSearch knowledge base."]}),"\n",(0,i.jsx)(n.h4,{id:"select-a-docling-implementation",children:"Select a Docling implementation"}),"\n",(0,i.jsx)(n.p,{children:"You can use either Docling Serve or OpenRAG's built-in Docling ingestion pipeline to process documents."}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Docling Serve ingestion"}),": By default, OpenRAG uses ",(0,i.jsx)(n.a,{href:"https://github.com/docling-project/docling-serve",children:"Docling Serve"}),".\nIt starts a local ",(0,i.jsx)(n.code,{children:"docling serve"})," process, and then runs Docling ingestion through the Docling Serve API."]}),"\n",(0,i.jsxs)(n.p,{children:["To use a remote ",(0,i.jsx)(n.code,{children:"docling serve"})," instance or your own local instance, set ",(0,i.jsx)(n.code,{children:"DOCLING_SERVE_URL=http://**HOST_IP**:5001"})," in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration#document-processing-settings",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nThe service must run on port 5001."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Built-in Docling ingestion"}),": If you want to use OpenRAG's built-in Docling ingestion pipeline instead of the separate Docling Serve service, set ",(0,i.jsx)(n.code,{children:"DISABLE_INGEST_WITH_LANGFLOW=true"})," in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration#document-processing-settings",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nThe built-in pipeline uses the Docling processor directly instead of through the Docling Serve API.\nFor the underlying functionality, see ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/models/processors.py#L58",children:(0,i.jsx)(n.code,{children:"processors.py"})})," in the OpenRAG repository."]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h4,{id:"configure-docling-ingestion-settings",children:"Configure Docling ingestion settings"}),"\n",(0,i.jsxs)(n.p,{children:["To modify the Docling document processing and embedding parameters, click ",(0,i.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Settings"})," in OpenRAG, and then find the ",(0,i.jsx)(n.strong,{children:"Knowledge Ingest"})," section."]}),"\n",(0,i.jsx)(n.admonition,{type:"tip",children:(0,i.jsxs)(n.p,{children:["The TUI warns you if ",(0,i.jsx)(n.code,{children:"docling serve"})," isn't running.\nFor information about starting and stopping OpenRAG native services, like Docling, see ",(0,i.jsx)(n.a,{href:"/manage-services",children:"Manage OpenRAG services"}),"."]})}),"\n",(0,i.jsx)(n.p,{children:"You can edit the following parameters:"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Embedding model"}),": Select the model to use to generate vector embeddings for your documents."]}),"\n",(0,i.jsxs)(n.p,{children:["This is initially set during installation.\nThe recommended way to change this setting is in the OpenRAG ",(0,i.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Settings"})," or your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nThis ensures that all relevant ",(0,i.jsx)(n.a,{href:"/agents",children:"OpenRAG flows"})," are updated to use the new embedding model configuration."]}),"\n",(0,i.jsxs)(n.p,{children:["If you uploaded documents prior to changing the embedding model, you can ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"create filters"})," to separate documents embedded with different models, or you can reupload all documents to regenerate embeddings with the new model.\nIf you want to use multiple embeddings models, similarity search (in the ",(0,i.jsx)(n.strong,{children:"Chat"}),") can take longer as it searches each model's embeddings separately."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Chunk size"}),": Set the number of characters for each text chunk when breaking down a file.\nLarger chunks yield more context per chunk, but can include irrelevant information. Smaller chunks yield more precise semantic search, but can lack context.\nThe default value is 1000 characters, which is usually a good balance between context and precision."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Chunk overlap"}),": Set the number of characters to overlap over chunk boundaries.\nUse larger overlap values for documents where context is most important. Use smaller overlap values for simpler documents or when optimization is most important.\nThe default value is 200 characters, which represents an overlap of 20 percent if the ",(0,i.jsx)(n.strong,{children:"Chunk size"})," is 1000. This is suitable for general use. For faster processing, decrease the overlap to approximately 10 percent. For more complex documents where you need to preserve context across chunks, increase it to approximately 40 percent."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Table structure"}),": Enables Docling's ",(0,i.jsx)(n.a,{href:"https://docling-project.github.io/docling/reference/document_converter/",children:(0,i.jsx)(n.code,{children:"DocumentConverter"})})," tool for parsing tables. Instead of treating tables as plain text, tables are output as structured table data with preserved relationships and metadata. This option is enabled by default."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"OCR"}),": Enables Optical Character Recognition (OCR) processing when extracting text from images and ingesting scanned documents. This setting is best suited for processing text-based documents faster with Docling's ",(0,i.jsx)(n.a,{href:"https://docling-project.github.io/docling/reference/document_converter/",children:(0,i.jsx)(n.code,{children:"DocumentConverter"})}),". Images are ignored and not processed."]}),"\n",(0,i.jsx)(n.p,{children:"This option is disabled by default. Enabling OCR can slow ingestion performance."}),"\n",(0,i.jsxs)(n.p,{children:["If OpenRAG detects that the local machine is running on macOS, OpenRAG uses the ",(0,i.jsx)(n.a,{href:"https://www.piwheels.org/project/ocrmac/",children:"ocrmac"})," OCR engine. Other platforms use ",(0,i.jsx)(n.a,{href:"https://www.jaided.ai/easyocr/",children:"easyocr"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Picture descriptions"}),": Only applicable if ",(0,i.jsx)(n.strong,{children:"OCR"})," is enabled. Adds image descriptions generated by the ",(0,i.jsx)(n.a,{href:"https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct",children:(0,i.jsx)(n.code,{children:"SmolVLM-256M-Instruct"})})," model. Enabling picture descriptions can slow ingestion performance."]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"set-the-local-documents-path",children:"Set the local documents path"}),"\n",(0,i.jsxs)(n.p,{children:["The default path for local uploads is ",(0,i.jsx)(n.code,{children:"~/.openrag/documents"}),". This is mounted to the ",(0,i.jsx)(n.code,{children:"/app/openrag-documents/"})," directory inside the OpenRAG container. Files added to the host or container directory are visible in both locations."]}),"\n",(0,i.jsxs)(n.p,{children:["To change this location, modify the ",(0,i.jsx)(n.strong,{children:"Documents Paths"})," variable in either the ",(0,i.jsxs)(n.a,{href:"/install#setup",children:[(0,i.jsx)(n.strong,{children:"Basic/Advanced Setup"})," menu"]})," or in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"delete-knowledge",children:"Delete knowledge"}),"\n",(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsx)(n.p,{children:"This is a destructive operation that cannot be undone."})}),"\n",(0,i.jsxs)(n.p,{children:["To delete documents from your knowledge base, click ",(0,i.jsx)(r.A,{name:"Library","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Knowledge"}),", use the checkboxes to select one or more documents, and then click ",(0,i.jsx)(n.strong,{children:"Delete"}),".\nIf you select the checkbox at the top of the list, all documents are selected and your entire knowledge base will be deleted."]}),"\n",(0,i.jsxs)(n.p,{children:["To delete an individual document, you can also click ",(0,i.jsx)(r.A,{name:"Ellipsis","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"More"})," next to that document, and then select ",(0,i.jsx)(n.strong,{children:"Delete"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["To completely clear your entire knowledge base and OpenSearch index, ",(0,i.jsx)(n.a,{href:"/manage-services#reset-containers",children:"reset your OpenRAG containers"})," or ",(0,i.jsx)(n.a,{href:"/reinstall",children:"reinstall OpenRAG"}),"."]}),"\n",(0,i.jsx)(n.h2,{id:"see-also",children:"See also"}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsx)(n.li,{children:(0,i.jsx)(n.a,{href:"/ingestion",children:"Ingest knowledge"})}),"\n",(0,i.jsx)(n.li,{children:(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"Filter knowledge"})}),"\n",(0,i.jsx)(n.li,{children:(0,i.jsx)(n.a,{href:"/chat",children:"Chat with knowledge"})}),"\n",(0,i.jsx)(n.li,{children:(0,i.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"})}),"\n"]})]})}function p(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(g,{...e})}):g(e)}},6567:(e,n,s)=>{s.d(n,{Ay:()=>d,RM:()=>o});var t=s(4848),i=s(8453);const o=[];function r(e){const n={a:"a",p:"p",strong:"strong",...(0,i.R)(),...e.components};return(0,t.jsxs)(n.p,{children:["In no-auth mode, all documents are attributed to ",(0,t.jsx)(n.strong,{children:"Anonymous User"})," because there is no distinct document ownership or unique JWTs. For more control over document ownership and visibility, use OAuth mode. For more information, see ",(0,t.jsx)(n.a,{href:"/knowledge#auth",children:"OpenSearch authentication and document access"}),"."]})}function d(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(r,{...e})}):r(e)}},7637:(e,n,s)=>{s.d(n,{Ay:()=>d,RM:()=>o});var t=s(4848),i=s(8453);const o=[];function r(e){const n={a:"a",code:"code",li:"li",p:"p",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"No-auth mode"}),": If you select ",(0,t.jsx)(n.strong,{children:"Basic Setup"})," in the ",(0,t.jsx)(n.a,{href:"/tui",children:"TUI"}),", or your ",(0,t.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,t.jsx)(n.code,{children:".env"})," file"]})," doesn't include OAuth credentials, then the OpenRAG OpenSearch instance runs in no-auth mode."]}),"\n",(0,t.jsx)(n.p,{children:"This mode uses one anonymous JWT token for OpenSearch authentication.\nThere is no differentiation between users; all users that access your OpenRAG instance can access all documents uploaded to your knowledge base."}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"OAuth mode"}),": If you select ",(0,t.jsx)(n.strong,{children:"Advanced Setup"})," in the ",(0,t.jsx)(n.a,{href:"/tui",children:"TUI"}),", or your ",(0,t.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,t.jsx)(n.code,{children:".env"})," file"]})," includes OAuth credentials, then the OpenRAG OpenSearch instance runs in OAuth mode."]}),"\n",(0,t.jsx)(n.p,{children:"This mode uses a unique JWT token for each OpenRAG user, and each document is tagged with user ownership.\nDocuments are filtered by user owner; users see only the documents that they uploaded or have access to through their cloud storage accounts."}),"\n",(0,t.jsxs)(n.p,{children:["To enable OAuth mode after initial setup, see ",(0,t.jsx)(n.a,{href:"/ingestion#oauth-ingestion",children:"Ingest files with OAuth connectors"}),"."]}),"\n"]}),"\n"]})}function d(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(r,{...e})}):r(e)}},9179:(e,n,s)=>{s.d(n,{A:()=>o});s(6540);var t=s(7856),i=s(4848);function o({name:e,...n}){const s=t[e];return s?(0,i.jsx)(s,{...n}):null}}}]);
\ No newline at end of file
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@@ -1 +0,0 @@
-"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[571],{3227:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>c,contentTitle:()=>l,default:()=>p,frontMatter:()=>d,metadata:()=>t,toc:()=>h});const t=JSON.parse('{"id":"core-components/knowledge","title":"Configure knowledge","description":"OpenRAG includes a built-in OpenSearch instance that serves as the underlying datastore for your knowledge (documents).","source":"@site/docs/core-components/knowledge.mdx","sourceDirName":"core-components","slug":"/knowledge","permalink":"/knowledge","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/core-components/knowledge.mdx","tags":[],"version":"current","frontMatter":{"title":"Configure knowledge","slug":"/knowledge"},"sidebar":"tutorialSidebar","previous":{"title":"Flows","permalink":"/agents"},"next":{"title":"Ingest knowledge","permalink":"/ingestion"}}');var i=s(4848),o=s(8453),r=s(9179),a=s(7637);const d={title:"Configure knowledge",slug:"/knowledge"},l=void 0,c={},h=[{value:"Browse knowledge",id:"browse-knowledge",level:2},{value:"Default documents",id:"default-documents",level:3},{value:"OpenSearch authentication and document access",id:"auth",level:2},...a.RM,{value:"OpenSearch indexes",id:"opensearch-indexes",level:2},{value:"Knowledge ingestion settings",id:"knowledge-ingestion-settings",level:2},{value:"Set the embedding model and dimensions",id:"set-the-embedding-model-and-dimensions",level:3},{value:"Set Docling parameters",id:"set-docling-parameters",level:3},{value:"Set the local documents path",id:"set-the-local-documents-path",level:3},{value:"Delete knowledge",id:"delete-knowledge",level:2},{value:"See also",id:"see-also",level:2}];function u(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",li:"li",p:"p",strong:"strong",ul:"ul",...(0,o.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)(n.p,{children:["OpenRAG includes a built-in ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/",children:"OpenSearch"})," instance that serves as the underlying datastore for your ",(0,i.jsx)(n.em,{children:"knowledge"})," (documents).\nThis specialized database is used to store and retrieve your documents and the associated vector data (embeddings)."]}),"\n",(0,i.jsxs)(n.p,{children:["The documents in your OpenSearch knowledge base provide specialized context in addition to the general knowledge available to the language model that you select when you ",(0,i.jsx)(n.a,{href:"/install-options",children:"install OpenRAG"})," or ",(0,i.jsx)(n.a,{href:"/agents",children:"edit a flow"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["You can ",(0,i.jsx)(n.a,{href:"/ingestion",children:"upload documents"})," from a variety of sources to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.\nDocuments are processed through OpenRAG's knowledge ingestion flows with Docling."]}),"\n",(0,i.jsxs)(n.p,{children:["Then, the ",(0,i.jsxs)(n.a,{href:"/chat",children:["OpenRAG ",(0,i.jsx)(n.strong,{children:"Chat"})]})," can run ",(0,i.jsx)(n.a,{href:"https://www.ibm.com/think/topics/vector-search",children:"similarity searches"})," against your OpenSearch database to retrieve relevant information and generate context-aware responses."]}),"\n",(0,i.jsxs)(n.p,{children:["You can configure how documents are ingested and how the ",(0,i.jsx)(n.strong,{children:"Chat"})," interacts with your knowledge base."]}),"\n",(0,i.jsx)(n.h2,{id:"browse-knowledge",children:"Browse knowledge"}),"\n",(0,i.jsxs)(n.p,{children:["The ",(0,i.jsx)(n.strong,{children:"Knowledge"})," page lists the documents OpenRAG has ingested into your OpenSearch database, specifically in an ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/getting-started/intro/#index",children:"OpenSearch index"})," named ",(0,i.jsx)(n.code,{children:"documents"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["To explore the raw contents of your knowledge base, click ",(0,i.jsx)(r.A,{name:"Library","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Knowledge"})," to get a list of all ingested documents.\nClick a document to view the chunks produced from splitting the document during ingestion."]}),"\n",(0,i.jsx)(n.h3,{id:"default-documents",children:"Default documents"}),"\n",(0,i.jsxs)(n.p,{children:["By default, OpenRAG includes some initial documents about OpenRAG.\nThese documents are ingested automatically during the ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"application onboarding process"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["You can use these documents to ask OpenRAG about itself, and to test the ",(0,i.jsx)(n.a,{href:"/chat",children:(0,i.jsx)(n.strong,{children:"Chat"})})," feature before uploading your own documents."]}),"\n",(0,i.jsxs)(n.p,{children:["If you ",(0,i.jsx)(n.a,{href:"#delete-knowledge",children:"delete"})," these documents, you won't be able to ask OpenRAG about itself and it's own functionality.\nIt is recommended that you keep these documents, and use ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"filters"})," to separate them from your other knowledge."]}),"\n",(0,i.jsx)(n.h2,{id:"auth",children:"OpenSearch authentication and document access"}),"\n",(0,i.jsxs)(n.p,{children:["When you ",(0,i.jsx)(n.a,{href:"/install-options",children:"install OpenRAG"}),", you provide the initial configuration values for your OpenRAG services, including authentication credentials for OpenSearch and OAuth connectors.\nThis configuration determines how OpenRAG authenticates with your deployment's OpenSearch instance, and it controls user access to documents in your knowledge base:"]}),"\n",(0,i.jsx)(a.Ay,{}),"\n",(0,i.jsx)(n.h2,{id:"opensearch-indexes",children:"OpenSearch indexes"}),"\n",(0,i.jsxs)(n.p,{children:["An ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/getting-started/intro/#index",children:"OpenSearch index"})," is a collection of documents in an OpenSearch database."]}),"\n",(0,i.jsxs)(n.p,{children:["By default, all documents you upload to your OpenRAG knowledge base are stored in an index named ",(0,i.jsx)(n.code,{children:"documents"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["It is possible to change the index name by ",(0,i.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"editing the ingestion flow"}),".\nHowever, this can impact dependent processes, such as the ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"filters"})," and ",(0,i.jsx)(n.a,{href:"/chat",children:(0,i.jsx)(n.strong,{children:"Chat"})})," flow, that reference the ",(0,i.jsx)(n.code,{children:"documents"})," index by default.\nMake sure you edit other flows as needed to ensure all processes use the same index name."]}),"\n",(0,i.jsxs)(n.p,{children:["If you encounter errors or unexpected behavior after changing the index name, you can ",(0,i.jsx)(n.a,{href:"/agents#revert-a-built-in-flow-to-its-original-configuration",children:"revert the flows to their original configuration"}),", or ",(0,i.jsx)(n.a,{href:"/knowledge#delete-knowledge",children:"delete knowledge"})," to clear the existing documents from your knowledge base."]}),"\n",(0,i.jsx)(n.h2,{id:"knowledge-ingestion-settings",children:"Knowledge ingestion settings"}),"\n",(0,i.jsx)(n.admonition,{type:"warning",children:(0,i.jsx)(n.p,{children:"Knowledge ingestion settings apply to documents you upload after making the changes.\nDocuments uploaded before changing these settings aren't reprocessed."})}),"\n",(0,i.jsx)(n.p,{children:"After changing knowledge ingestion settings, you must determine if you need to reupload any documents to be consistent with the new settings."}),"\n",(0,i.jsx)(n.p,{children:"It isn't always necessary to reupload documents after changing knowledge ingestion settings.\nFor example, it is typical to upload some documents with OCR enabled and others without OCR enabled."}),"\n",(0,i.jsxs)(n.p,{children:["If needed, you can use ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"filters"})," to separate documents that you uploaded with different settings, such as different embedding models."]}),"\n",(0,i.jsx)(n.h3,{id:"set-the-embedding-model-and-dimensions",children:"Set the embedding model and dimensions"}),"\n",(0,i.jsxs)(n.p,{children:["When you ",(0,i.jsx)(n.a,{href:"/install-options",children:"install OpenRAG"}),", you select at least one embedding model during the ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"application onboarding process"}),".\nOpenRAG automatically detects and configures the appropriate vector dimensions for your selected embedding model, ensuring optimal search performance and compatibility."]}),"\n",(0,i.jsxs)(n.p,{children:["In the OpenRAG repository, you can find the complete list of supported models in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/services/models_service.py",children:(0,i.jsx)(n.code,{children:"models_service.py"})})," and the corresponding vector dimensions in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/config/settings.py",children:(0,i.jsx)(n.code,{children:"settings.py"})}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["During the application onboarding process, you can select from the supported models.\nThe default embedding dimension is ",(0,i.jsx)(n.code,{children:"1536"}),", and the default model is the OpenAI ",(0,i.jsx)(n.code,{children:"text-embedding-3-small"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["If you want to use an unsupported model, you must manually set the model in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nIf you use an unsupported embedding model that doesn't have defined dimensions in ",(0,i.jsx)(n.code,{children:"settings.py"}),", then OpenRAG falls back to the default dimensions (1536) and logs a warning. OpenRAG's OpenSearch instance and flows continue to work, but ",(0,i.jsx)(n.a,{href:"https://www.ibm.com/think/topics/vector-search",children:"similarity search"})," quality can be affected if the actual model dimensions aren't 1536."]}),"\n",(0,i.jsxs)(n.p,{children:["To change the embedding model after onboarding, it is recommended that you modify the embedding model setting in the OpenRAG ",(0,i.jsx)(n.strong,{children:"Settings"})," page or in your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nThis will automatically update all relevant ",(0,i.jsx)(n.a,{href:"/agents",children:"OpenRAG flows"})," to use the new embedding model configuration."]}),"\n",(0,i.jsx)(n.h3,{id:"set-docling-parameters",children:"Set Docling parameters"}),"\n",(0,i.jsxs)(n.p,{children:["OpenRAG uses ",(0,i.jsx)(n.a,{href:"https://docling-project.github.io/docling/",children:"Docling"})," for document ingestion because it supports many file formats, processes tables and images well, and performs efficiently."]}),"\n",(0,i.jsxs)(n.p,{children:["When you ",(0,i.jsx)(n.a,{href:"/ingestion",children:"upload documents"}),", Docling processes the files, splits them into chunks, and stores them as separate, structured documents in your OpenSearch knowledge base."]}),"\n",(0,i.jsx)(n.p,{children:"You can use either Docling Serve or OpenRAG's built-in Docling ingestion pipeline to process documents."}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Docling Serve ingestion"}),": By default, OpenRAG uses ",(0,i.jsx)(n.a,{href:"https://github.com/docling-project/docling-serve",children:"Docling Serve"}),".\nThis means that OpenRAG starts a ",(0,i.jsx)(n.code,{children:"docling serve"})," process on your local machine and runs Docling ingestion through an API service."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Built-in Docling ingestion"}),": If you want to use OpenRAG's built-in Docling ingestion pipeline instead of the separate Docling Serve service, set ",(0,i.jsx)(n.code,{children:"DISABLE_INGEST_WITH_LANGFLOW=true"})," in your ",(0,i.jsx)(n.a,{href:"/reference/configuration#document-processing-settings",children:"OpenRAG environment variables"}),"."]}),"\n",(0,i.jsx)(n.p,{children:"The built-in pipeline uses the Docling processor directly instead of through the Docling Serve API."}),"\n",(0,i.jsxs)(n.p,{children:["For the underlying functionality, see ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/models/processors.py#L58",children:(0,i.jsx)(n.code,{children:"processors.py"})})," in the OpenRAG repository."]}),"\n"]}),"\n"]}),"\n",(0,i.jsxs)(n.p,{children:["To modify the Docling ingestion and embedding parameters, click ",(0,i.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,i.jsx)(n.strong,{children:"Settings"})," in the OpenRAG user interface."]}),"\n",(0,i.jsx)(n.admonition,{type:"tip",children:(0,i.jsxs)(n.p,{children:["OpenRAG warns you if ",(0,i.jsx)(n.code,{children:"docling serve"})," isn't running.\nFor information about starting and stopping OpenRAG native services, like Docling, see ",(0,i.jsx)(n.a,{href:"/manage-services",children:"Manage OpenRAG services"}),"."]})}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Embedding model"}),": Select the model to use to generate vector embeddings for your documents."]}),"\n",(0,i.jsxs)(n.p,{children:["This is initially set during installation.\nThe recommended way to change this setting is in the OpenRAG ",(0,i.jsx)(n.strong,{children:"Settings"})," or your ",(0,i.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,i.jsx)(n.code,{children:".env"})," file"]}),".\nThis will automatically update all relevant ",(0,i.jsx)(n.a,{href:"/agents",children:"OpenRAG flows"})," to use the new embedding model configuration."]}),"\n",(0,i.jsxs)(n.p,{children:["If you uploaded documents prior to changing the embedding model, you can ",(0,i.jsx)(n.a,{href:"/knowledge-filters",children:"create filters"})," to separate documents embedded with different models, or you can reupload all documents to regenerate embeddings with the new model.\nIf you want to use multiple embeddings models, similarity search (in the ",(0,i.jsx)(n.strong,{children:"Chat"}),") can take longer as it searching each model's embeddings separately."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Chunk size"}),": Set the number of characters for each text chunk when breaking down a file.\nLarger chunks yield more context per chunk, but can include irrelevant information. Smaller chunks yield more precise semantic search, but can lack context.\nThe default value is 1000 characters, which is usually a good balance between context and precision."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Chunk overlap"}),": Set the number of characters to overlap over chunk boundaries.\nUse larger overlap values for documents where context is most important. Use smaller overlap values for simpler documents or when optimization is most important.\nThe default value is 200 characters, which represents an overlap of 20 percent if the ",(0,i.jsx)(n.strong,{children:"Chunk size"})," is 1000. This is suitable for general use. For faster processing, decrease the overlap to approximately 10 percent. For more complex documents where you need to preserve context across chunks, increase it to approximately 40 percent."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Table Structure"}),": Enables Docling's ",(0,i.jsx)(n.a,{href:"https://docling-project.github.io/docling/reference/document_converter/",children:(0,i.jsx)(n.code,{children:"DocumentConverter"})})," tool for parsing tables. Instead of treating tables as plain text, tables are output as structured table data with preserved relationships and metadata. This option is enabled by default."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"OCR"}),": Enables Optical Character Recognition (OCR) processing when extracting text from images and ingesting scanned documents. This setting is best suited for processing text-based documents faster with Docling's ",(0,i.jsx)(n.a,{href:"https://docling-project.github.io/docling/reference/document_converter/",children:(0,i.jsx)(n.code,{children:"DocumentConverter"})}),". Images are ignored and not processed."]}),"\n",(0,i.jsx)(n.p,{children:"This option is disabled by default. Enabling OCR can slow ingestion performance."}),"\n",(0,i.jsxs)(n.p,{children:["If OpenRAG detects that the local machine is running on macOS, OpenRAG uses the ",(0,i.jsx)(n.a,{href:"https://www.piwheels.org/project/ocrmac/",children:"ocrmac"})," OCR engine. Other platforms use ",(0,i.jsx)(n.a,{href:"https://www.jaided.ai/easyocr/",children:"easyocr"}),"."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Picture descriptions"}),": Only applicable if ",(0,i.jsx)(n.strong,{children:"OCR"})," is enabled. Adds image descriptions generated by the ",(0,i.jsx)(n.a,{href:"https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct",children:(0,i.jsx)(n.code,{children:"SmolVLM-256M-Instruct"})})," model. Enabling picture descriptions can slow ingestion performance."]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h3,{id:"set-the-local-documents-path",children:"Set the local documents path"}),"\n",(0,i.jsxs)(n.p,{children:["The default path for local uploads is ",(0,i.jsx)(n.code,{children:"~/.openrag/documents"}),". This is mounted to the ",(0,i.jsx)(n.code,{children:"/app/openrag-documents/"})," directory inside the OpenRAG container. 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diff --git a/assets/js/21afe7ac.52236fad.js b/assets/js/21afe7ac.52236fad.js
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",(0,i.jsx)(n.code,{children:"docling serve"})," service."]})]})}function c(e={}){const{wrapper:n}={...(0,s.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(o,{...e})}):o(e)}},6239:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>d,contentTitle:()=>a,default:()=>u,frontMatter:()=>c,metadata:()=>i,toc:()=>l});const i=JSON.parse('{"id":"get-started/tui","title":"Use the TUI","description":"The OpenRAG Terminal User Interface (TUI) provides a simplified and guided experience for configuring, managing, and monitoring your OpenRAG deployment directly from the terminal.","source":"@site/docs/get-started/tui.mdx","sourceDirName":"get-started","slug":"/tui","permalink":"/tui","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/tui.mdx","tags":[],"version":"current","frontMatter":{"title":"Use the TUI","slug":"/tui"},"sidebar":"tutorialSidebar","previous":{"title":"Remove OpenRAG","permalink":"/uninstall"},"next":{"title":"Manage services","permalink":"/manage-services"}}');var s=t(4848),r=t(8453),o=t(5818);const c={title:"Use the TUI",slug:"/tui"},a=void 0,d={},l=[{value:"Access the TUI",id:"access-the-tui",level:2},{value:"Navigate the TUI",id:"navigate-the-tui",level:2},{value:"Manage services with the TUI",id:"manage-services-with-the-tui",level:2},{value:"Toggle GPU/CPU mode",id:"toggle-gpucpu-mode",level:2},...o.RM,{value:"Exit the OpenRAG TUI",id:"exit-the-openrag-tui",level:2}];function h(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",img:"img",p:"p",strong:"strong",...(0,r.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"The OpenRAG Terminal User Interface (TUI) provides a simplified and guided experience for configuring, managing, and monitoring your OpenRAG deployment directly from the terminal."}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"OpenRAG TUI Interface",src:t(3929).A+"",width:"653",height:"397"})}),"\n",(0,s.jsxs)(n.p,{children:["If you install OpenRAG with the ",(0,s.jsx)(n.a,{href:"/install",children:"automatic installer script"}),", ",(0,s.jsx)(n.a,{href:"/install-uv",children:(0,s.jsx)(n.code,{children:"uv"})}),", or ",(0,s.jsx)(n.a,{href:"/install-uvx",children:(0,s.jsx)(n.code,{children:"uvx"})}),", you use the TUI to manage your OpenRAG deployment.\nThe TUI guides you through the initial setup, automatically manages your OpenRAG ",(0,s.jsx)(n.code,{children:".env"})," and ",(0,s.jsx)(n.code,{children:"docker-compose"})," files, and provides convenient access to ",(0,s.jsx)(n.a,{href:"/manage-services",children:"service management"})," controls."]}),"\n",(0,s.jsxs)(n.p,{children:["In contrast, when you ",(0,s.jsx)(n.a,{href:"/docker",children:"deploy OpenRAG with self-managed services"}),", you must manually configure OpenRAG by preparing a ",(0,s.jsx)(n.code,{children:".env"})," file, and then use Docker or Podman commands to deploy and manage your OpenRAG services."]}),"\n",(0,s.jsx)(n.h2,{id:"access-the-tui",children:"Access the TUI"}),"\n",(0,s.jsxs)(n.p,{children:["If you installed OpenRAG with ",(0,s.jsx)(n.code,{children:"uv"}),", access the TUI with ",(0,s.jsx)(n.code,{children:"uv run openrag"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["If you installed OpenRAG with the automatic installer script or ",(0,s.jsx)(n.code,{children:"uvx"}),", access the TUI with ",(0,s.jsx)(n.code,{children:"uvx openrag"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"navigate-the-tui",children:"Navigate the TUI"}),"\n",(0,s.jsx)(n.p,{children:"You can navigate the TUI with your mouse or keyboard.\nKeyboard shortcuts for additional menus are printed at the bottom of the TUI screen."}),"\n",(0,s.jsx)(n.h2,{id:"manage-services-with-the-tui",children:"Manage services with the TUI"}),"\n",(0,s.jsxs)(n.p,{children:["Use the TUI's ",(0,s.jsx)(n.strong,{children:"Status"})," page to access controls and information for your OpenRAG services.\nFor more information, see ",(0,s.jsx)(n.a,{href:"/manage-services",children:"Manage OpenRAG services"}),"."]}),"\n",(0,s.jsx)(n.h2,{id:"toggle-gpucpu-mode",children:"Toggle GPU/CPU mode"}),"\n",(0,s.jsx)(n.p,{children:"You can toggle between GPU and CPU mode from within the TUI if your system has compatible GPU hardware and drivers installed."}),"\n",(0,s.jsxs)(n.p,{children:["In the TUI, click ",(0,s.jsx)(n.strong,{children:"Status"}),", and then click ",(0,s.jsx)(n.strong,{children:"Switch to GPU Mode"})," or ",(0,s.jsx)(n.strong,{children:"Switch to CPU Mode"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["This change requires restarting all OpenRAG services because each mode has its own ",(0,s.jsx)(n.code,{children:"docker-compose"})," file."]}),"\n",(0,s.jsx)(n.admonition,{type:"tip",children:(0,s.jsx)(o.Ay,{})}),"\n",(0,s.jsx)(n.h2,{id:"exit-the-openrag-tui",children:"Exit the OpenRAG TUI"}),"\n",(0,s.jsxs)(n.p,{children:["To exit the OpenRAG TUI, press ",(0,s.jsx)("kbd",{children:"q"})," on the TUI main page."]}),"\n",(0,s.jsx)(n.p,{children:"Exiting the TUI doesn't stop your OpenRAG services.\nYour OpenRAG services continue to run until they are stopped from within the TUI or by another process that inadvertently stops them."}),"\n",(0,s.jsxs)(n.p,{children:["To restart the TUI, see ",(0,s.jsx)(n.a,{href:"#access-the-tui",children:"Access the TUI"}),"."]})]})}function u(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(h,{...e})}):h(e)}},8453:(e,n,t)=>{t.d(n,{R:()=>o,x:()=>c});var i=t(6540);const s={},r=i.createContext(s);function o(e){const n=i.useContext(r);return i.useMemo(function(){return"function"==typeof e?e(n):{...n,...e}},[n,e])}function c(e){let n;return n=e.disableParentContext?"function"==typeof e.components?e.components(s):e.components||s:o(e.components),i.createElement(r.Provider,{value:n},e.children)}}}]);
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diff --git a/assets/js/21afe7ac.a600b84a.js b/assets/js/21afe7ac.a600b84a.js
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s=t(4848),r=t(8453),o=t(5818);const a={title:"Use the TUI",slug:"/tui"},c=void 0,l={},d=[{value:"Access the TUI",id:"access-the-tui",level:2},{value:"Navigate the TUI",id:"navigate-the-tui",level:2},{value:"Manage services with the TUI",id:"manage-services-with-the-tui",level:2},{value:"Toggle GPU/CPU mode",id:"toggle-gpucpu-mode",level:2},...o.RM,{value:"Exit the OpenRAG TUI",id:"exit-the-openrag-tui",level:2}];function h(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",img:"img",p:"p",strong:"strong",...(0,r.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"The OpenRAG Terminal User Interface (TUI) provides a simplified and guided experience for configuring, managing, and monitoring your OpenRAG deployment directly from the terminal."}),"\n",(0,s.jsx)(n.p,{children:(0,s.jsx)(n.img,{alt:"OpenRAG TUI Interface",src:t(3929).A+"",width:"653",height:"397"})}),"\n",(0,s.jsxs)(n.p,{children:["If you install OpenRAG with the ",(0,s.jsx)(n.a,{href:"/install",children:"automatic installer script"}),", ",(0,s.jsx)(n.a,{href:"/install-uv",children:(0,s.jsx)(n.code,{children:"uv"})}),", or ",(0,s.jsx)(n.a,{href:"/install-uvx",children:(0,s.jsx)(n.code,{children:"uvx"})}),", you use the TUI to manage your OpenRAG deployment.\nThe TUI guides you through the initial setup, automatically manages your OpenRAG ",(0,s.jsx)(n.code,{children:".env"})," and ",(0,s.jsx)(n.code,{children:"docker-compose"})," files, and provides convenient access to ",(0,s.jsx)(n.a,{href:"/manage-services",children:"service management"})," controls."]}),"\n",(0,s.jsxs)(n.p,{children:["In contrast, when you ",(0,s.jsx)(n.a,{href:"/docker",children:"deploy OpenRAG with self-managed services"}),", you must manually configure OpenRAG by preparing a ",(0,s.jsx)(n.code,{children:".env"})," file, and then use Docker or Podman commands to deploy and manage your OpenRAG services."]}),"\n",(0,s.jsx)(n.h2,{id:"access-the-tui",children:"Access the 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similarity index 99%
rename from assets/js/2279.44341cb1.js
rename to assets/js/2279.632a870f.js
index aa38ce17..83b92fb0 100644
--- a/assets/js/2279.44341cb1.js
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i.length>=n.length?t.slice(n.length):t}).join("\n")}(t,e[3]||"",this.rules);return{type:"code",raw:t,lang:e[2]?e[2].trim().replace(this.rules.inline.anyPunctuation,"$1"):e[2],text:r}}}heading(t){let e=this.rules.block.heading.exec(t);if(e){let t=e[2].trim();if(this.rules.other.endingHash.test(t)){let e=At(t,"#");(this.options.pedantic||!e||this.rules.other.endingSpaceChar.test(e))&&(t=e.trim())}return{type:"heading",raw:e[0],depth:e[1].length,text:t,tokens:this.lexer.inline(t)}}}hr(t){let e=this.rules.block.hr.exec(t);if(e)return{type:"hr",raw:At(e[0],"\n")}}blockquote(t){let e=this.rules.block.blockquote.exec(t);if(e){let t=At(e[0],"\n").split("\n"),r="",i="",n=[];for(;t.length>0;){let e,a=!1,o=[];for(e=0;e<t.length;e++)if(this.rules.other.blockquoteStart.test(t[e]))o.push(t[e]),a=!0;else{if(a)break;o.push(t[e])}t=t.slice(e);let s=o.join("\n"),l=s.replace(this.rules.other.blockquoteSetextReplace,"\n    $1").replace(this.rules.other.blockquoteSetextReplace2,"");r=r?`${r}\n${s}`:s,i=i?`${i}\n${l}`:l;let c=this.lexer.state.top;if(this.lexer.state.top=!0,this.lexer.blockTokens(l,n,!0),this.lexer.state.top=c,0===t.length)break;let h=n.at(-1);if("code"===h?.type)break;if("blockquote"===h?.type){let e=h,a=e.raw+"\n"+t.join("\n"),o=this.blockquote(a);n[n.length-1]=o,r=r.substring(0,r.length-e.raw.length)+o.raw,i=i.substring(0,i.length-e.text.length)+o.text;break}if("list"===h?.type){let e=h,a=e.raw+"\n"+t.join("\n"),o=this.list(a);n[n.length-1]=o,r=r.substring(0,r.length-h.raw.length)+o.raw,i=i.substring(0,i.length-e.raw.length)+o.raw,t=a.substring(n.at(-1).raw.length).split("\n");continue}}return{type:"blockquote",raw:r,tokens:n,text:i}}}list(t){let e=this.rules.block.list.exec(t);if(e){let r=e[1].trim(),i=r.length>1,n={type:"list",raw:"",ordered:i,start:i?+r.slice(0,-1):"",loose:!1,items:[]};r=i?`\\d{1,9}\\${r.slice(-1)}`:`\\${r}`,this.options.pedantic&&(r=i?r:"[*+-]");let a=this.rules.other.listItemRegex(r),o=!1;for(;t;){let r=!1,i="",s="";if(!(e=a.exec(t))||this.rules.block.hr.test(t))break;i=e[0],t=t.substring(i.length);let l=e[2].split("\n",1)[0].replace(this.rules.other.listReplaceTabs,t=>" ".repeat(3*t.length)),c=t.split("\n",1)[0],h=!l.trim(),u=0;if(this.options.pedantic?(u=2,s=l.trimStart()):h?u=e[1].length+1:(u=e[2].search(this.rules.other.nonSpaceChar),u=u>4?1:u,s=l.slice(u),u+=e[1].length),h&&this.rules.other.blankLine.test(c)&&(i+=c+"\n",t=t.substring(c.length+1),r=!0),!r){let e=this.rules.other.nextBulletRegex(u),r=this.rules.other.hrRegex(u),n=this.rules.other.fencesBeginRegex(u),a=this.rules.other.headingBeginRegex(u),o=this.rules.other.htmlBeginRegex(u);for(;t;){let d,p=t.split("\n",1)[0];if(c=p,this.options.pedantic?(c=c.replace(this.rules.other.listReplaceNesting,"  "),d=c):d=c.replace(this.rules.other.tabCharGlobal,"    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e=n.items[t].tokens.filter(t=>"space"===t.type),r=e.length>0&&e.some(t=>this.rules.other.anyLine.test(t.raw));n.loose=r}if(n.loose)for(let t=0;t<n.items.length;t++)n.items[t].loose=!0;return n}}html(t){let e=this.rules.block.html.exec(t);if(e)return{type:"html",block:!0,raw:e[0],pre:"pre"===e[1]||"script"===e[1]||"style"===e[1],text:e[0]}}def(t){let e=this.rules.block.def.exec(t);if(e){let t=e[1].toLowerCase().replace(this.rules.other.multipleSpaceGlobal," "),r=e[2]?e[2].replace(this.rules.other.hrefBrackets,"$1").replace(this.rules.inline.anyPunctuation,"$1"):"",i=e[3]?e[3].substring(1,e[3].length-1).replace(this.rules.inline.anyPunctuation,"$1"):e[3];return{type:"def",tag:t,raw:e[0],href:r,title:i}}}table(t){let e=this.rules.block.table.exec(t);if(!e||!this.rules.other.tableDelimiter.test(e[2]))return;let r=Tt(e[1]),i=e[2].replace(this.rules.other.tableAlignChars,"").split("|"),n=e[3]?.trim()?e[3].replace(this.rules.other.tableRowBlankLine,"").split("\n"):[],a={type:"table",raw:e[0],header:[],align:[],rows:[]};if(r.length===i.length){for(let t of i)this.rules.other.tableAlignRight.test(t)?a.align.push("right"):this.rules.other.tableAlignCenter.test(t)?a.align.push("center"):this.rules.other.tableAlignLeft.test(t)?a.align.push("left"):a.align.push(null);for(let t=0;t<r.length;t++)a.header.push({text:r[t],tokens:this.lexer.inline(r[t]),header:!0,align:a.align[t]});for(let t of n)a.rows.push(Tt(t,a.header.length).map((t,e)=>({text:t,tokens:this.lexer.inline(t),header:!1,align:a.align[e]})));return a}}lheading(t){let e=this.rules.block.lheading.exec(t);if(e)return{type:"heading",raw:e[0],depth:"="===e[2].charAt(0)?1:2,text:e[1],tokens:this.lexer.inline(e[1])}}paragraph(t){let e=this.rules.block.paragraph.exec(t);if(e){let t="\n"===e[1].charAt(e[1].length-1)?e[1].slice(0,-1):e[1];return{type:"paragraph",raw:e[0],text:t,tokens:this.lexer.inline(t)}}}text(t){let e=this.rules.block.text.exec(t);if(e)return{type:"text",raw:e[0],text:e[0],tokens:this.lexer.inline(e[0])}}escape(t){let e=this.rules.inline.escape.exec(t);if(e)return{type:"escape",raw:e[0],text:e[1]}}tag(t){let e=this.rules.inline.tag.exec(t);if(e)return!this.lexer.state.inLink&&this.rules.other.startATag.test(e[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(e[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(e[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(e[0])&&(this.lexer.state.inRawBlock=!1),{type:"html",raw:e[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:e[0]}}link(t){let e=this.rules.inline.link.exec(t);if(e){let t=e[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(t)){if(!this.rules.other.endAngleBracket.test(t))return;let e=At(t.slice(0,-1),"\\");if((t.length-e.length)%2==0)return}else{let t=function(t,e){if(-1===t.indexOf(e[1]))return-1;let r=0;for(let i=0;i<t.length;i++)if("\\"===t[i])i++;else if(t[i]===e[0])r++;else if(t[i]===e[1]&&(r--,r<0))return i;return r>0?-2:-1}(e[2],"()");if(-2===t)return;if(t>-1){let r=(0===e[0].indexOf("!")?5:4)+e[1].length+t;e[2]=e[2].substring(0,t),e[0]=e[0].substring(0,r).trim(),e[3]=""}}let r=e[2],i="";if(this.options.pedantic){let t=this.rules.other.pedanticHrefTitle.exec(r);t&&(r=t[1],i=t[3])}else i=e[3]?e[3].slice(1,-1):"";return r=r.trim(),this.rules.other.startAngleBracket.test(r)&&(r=this.options.pedantic&&!this.rules.other.endAngleBracket.test(t)?r.slice(1):r.slice(1,-1)),Mt(e,{href:r&&r.replace(this.rules.inline.anyPunctuation,"$1"),title:i&&i.replace(this.rules.inline.anyPunctuation,"$1")},e[0],this.lexer,this.rules)}}reflink(t,e){let r;if((r=this.rules.inline.reflink.exec(t))||(r=this.rules.inline.nolink.exec(t))){let t=e[(r[2]||r[1]).replace(this.rules.other.multipleSpaceGlobal," ").toLowerCase()];if(!t){let t=r[0].charAt(0);return{type:"text",raw:t,text:t}}return Mt(r,t,r[0],this.lexer,this.rules)}}emStrong(t,e,r=""){let i=this.rules.inline.emStrongLDelim.exec(t);if(!(!i||i[3]&&r.match(this.rules.other.unicodeAlphaNumeric))&&(!i[1]&&!i[2]||!r||this.rules.inline.punctuation.exec(r))){let r,n,a=[...i[0]].length-1,o=a,s=0,l="*"===i[0][0]?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(l.lastIndex=0,e=e.slice(-1*t.length+a);null!=(i=l.exec(e));){if(r=i[1]||i[2]||i[3]||i[4]||i[5]||i[6],!r)continue;if(n=[...r].length,i[3]||i[4]){o+=n;continue}if((i[5]||i[6])&&a%3&&!((a+n)%3)){s+=n;continue}if(o-=n,o>0)continue;n=Math.min(n,n+o+s);let e=[...i[0]][0].length,l=t.slice(0,a+i.index+e+n);if(Math.min(a,n)%2){let t=l.slice(1,-1);return{type:"em",raw:l,text:t,tokens:this.lexer.inlineTokens(t)}}let c=l.slice(2,-2);return{type:"strong",raw:l,text:c,tokens:this.lexer.inlineTokens(c)}}}}codespan(t){let e=this.rules.inline.code.exec(t);if(e){let t=e[2].replace(this.rules.other.newLineCharGlobal," "),r=this.rules.other.nonSpaceChar.test(t),i=this.rules.other.startingSpaceChar.test(t)&&this.rules.other.endingSpaceChar.test(t);return r&&i&&(t=t.substring(1,t.length-1)),{type:"codespan",raw:e[0],text:t}}}br(t){let e=this.rules.inline.br.exec(t);if(e)return{type:"br",raw:e[0]}}del(t){let e=this.rules.inline.del.exec(t);if(e)return{type:"del",raw:e[0],text:e[2],tokens:this.lexer.inlineTokens(e[2])}}autolink(t){let e=this.rules.inline.autolink.exec(t);if(e){let t,r;return"@"===e[2]?(t=e[1],r="mailto:"+t):(t=e[1],r=t),{type:"link",raw:e[0],text:t,href:r,tokens:[{type:"text",raw:t,text:t}]}}}url(t){let e;if(e=this.rules.inline.url.exec(t)){let t,r;if("@"===e[2])t=e[0],r="mailto:"+t;else{let i;do{i=e[0],e[0]=this.rules.inline._backpedal.exec(e[0])?.[0]??""}while(i!==e[0]);t=e[0],r="www."===e[1]?"http://"+e[0]:e[0]}return{type:"link",raw:e[0],text:t,href:r,tokens:[{type:"text",raw:t,text:t}]}}}inlineText(t){let e=this.rules.inline.text.exec(t);if(e){let t=this.lexer.state.inRawBlock;return{type:"text",raw:e[0],text:e[0],escaped:t}}}},Lt=class t{tokens;options;state;tokenizer;inlineQueue;constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||v,this.options.tokenizer=this.options.tokenizer||new Bt,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};let e={other:B,block:kt.normal,inline:wt.normal};this.options.pedantic?(e.block=kt.pedantic,e.inline=wt.pedantic):this.options.gfm&&(e.block=kt.gfm,this.options.breaks?e.inline=wt.breaks:e.inline=wt.gfm),this.tokenizer.rules=e}static get rules(){return{block:kt,inline:wt}}static lex(e,r){return new t(r).lex(e)}static lexInline(e,r){return new t(r).inlineTokens(e)}lex(t){t=t.replace(B.carriageReturn,"\n"),this.blockTokens(t,this.tokens);for(let e=0;e<this.inlineQueue.length;e++){let t=this.inlineQueue[e];this.inlineTokens(t.src,t.tokens)}return this.inlineQueue=[],this.tokens}blockTokens(t,e=[],r=!1){for(this.options.pedantic&&(t=t.replace(B.tabCharGlobal,"    ").replace(B.spaceLine,""));t;){let i;if(this.options.extensions?.block?.some(r=>!!(i=r.call({lexer:this},t,e))&&(t=t.substring(i.raw.length),e.push(i),!0)))continue;if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length);let r=e.at(-1);1===i.raw.length&&void 0!==r?r.raw+="\n":e.push(i);continue}if(i=this.tokenizer.code(t)){t=t.substring(i.raw.length);let r=e.at(-1);"paragraph"===r?.type||"text"===r?.type?(r.raw+=(r.raw.endsWith("\n")?"":"\n")+i.raw,r.text+="\n"+i.text,this.inlineQueue.at(-1).src=r.text):e.push(i);continue}if(i=this.tokenizer.fences(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.heading(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.hr(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.blockquote(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.list(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.html(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.def(t)){t=t.substring(i.raw.length);let r=e.at(-1);"paragraph"===r?.type||"text"===r?.type?(r.raw+=(r.raw.endsWith("\n")?"":"\n")+i.raw,r.text+="\n"+i.raw,this.inlineQueue.at(-1).src=r.text):this.tokens.links[i.tag]||(this.tokens.links[i.tag]={href:i.href,title:i.title},e.push(i));continue}if(i=this.tokenizer.table(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.lheading(t)){t=t.substring(i.raw.length),e.push(i);continue}let n=t;if(this.options.extensions?.startBlock){let e,r=1/0,i=t.slice(1);this.options.extensions.startBlock.forEach(t=>{e=t.call({lexer:this},i),"number"==typeof e&&e>=0&&(r=Math.min(r,e))}),r<1/0&&r>=0&&(n=t.substring(0,r+1))}if(this.state.top&&(i=this.tokenizer.paragraph(n))){let a=e.at(-1);r&&"paragraph"===a?.type?(a.raw+=(a.raw.endsWith("\n")?"":"\n")+i.raw,a.text+="\n"+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=a.text):e.push(i),r=n.length!==t.length,t=t.substring(i.raw.length);continue}if(i=this.tokenizer.text(t)){t=t.substring(i.raw.length);let r=e.at(-1);"text"===r?.type?(r.raw+=(r.raw.endsWith("\n")?"":"\n")+i.raw,r.text+="\n"+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=r.text):e.push(i);continue}if(t){let e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}return this.state.top=!0,e}inline(t,e=[]){return this.inlineQueue.push({src:t,tokens:e}),e}inlineTokens(t,e=[]){let r,i=t,n=null;if(this.tokens.links){let t=Object.keys(this.tokens.links);if(t.length>0)for(;null!=(n=this.tokenizer.rules.inline.reflinkSearch.exec(i));)t.includes(n[0].slice(n[0].lastIndexOf("[")+1,-1))&&(i=i.slice(0,n.index)+"["+"a".repeat(n[0].length-2)+"]"+i.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(n=this.tokenizer.rules.inline.anyPunctuation.exec(i));)i=i.slice(0,n.index)+"++"+i.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;null!=(n=this.tokenizer.rules.inline.blockSkip.exec(i));)r=n[2]?n[2].length:0,i=i.slice(0,n.index+r)+"["+"a".repeat(n[0].length-r-2)+"]"+i.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);i=this.options.hooks?.emStrongMask?.call({lexer:this},i)??i;let a=!1,o="";for(;t;){let r;if(a||(o=""),a=!1,this.options.extensions?.inline?.some(i=>!!(r=i.call({lexer:this},t,e))&&(t=t.substring(r.raw.length),e.push(r),!0)))continue;if(r=this.tokenizer.escape(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.tag(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.link(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.reflink(t,this.tokens.links)){t=t.substring(r.raw.length);let i=e.at(-1);"text"===r.type&&"text"===i?.type?(i.raw+=r.raw,i.text+=r.text):e.push(r);continue}if(r=this.tokenizer.emStrong(t,i,o)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.codespan(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.br(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.del(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.autolink(t)){t=t.substring(r.raw.length),e.push(r);continue}if(!this.state.inLink&&(r=this.tokenizer.url(t))){t=t.substring(r.raw.length),e.push(r);continue}let n=t;if(this.options.extensions?.startInline){let e,r=1/0,i=t.slice(1);this.options.extensions.startInline.forEach(t=>{e=t.call({lexer:this},i),"number"==typeof e&&e>=0&&(r=Math.min(r,e))}),r<1/0&&r>=0&&(n=t.substring(0,r+1))}if(r=this.tokenizer.inlineText(n)){t=t.substring(r.raw.length),"_"!==r.raw.slice(-1)&&(o=r.raw.slice(-1)),a=!0;let 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gt(t,e){const{labelStyles:r,nodeStyles:i}=(0,n.GX)(e);e.label="",e.labelStyle=r;const{shapeSvg:a}=await u(t,e,f(e)),o=Math.max(30,e?.width??0),s=Math.max(30,e?.height??0),{cssStyles:c}=e,d=h.A.svg(a),y=(0,n.Fr)(e,{});"handDrawn"!==e.look&&(y.roughness=0,y.fillStyle="solid");const m=[{x:0,y:0},{x:o,y:0},{x:0,y:s},{x:o,y:s}],x=g(m),b=d.path(x,y),k=a.insert(()=>b,":first-child");return k.attr("class","basic label-container"),c&&"handDrawn"!==e.look&&k.selectChildren("path").attr("style",c),i&&"handDrawn"!==e.look&&k.selectChildren("path").attr("style",i),k.attr("transform",`translate(${-o/2}, ${-s/2})`),p(e,k),e.intersect=function(t){l.Rm.info("Pill intersect",e,{points:m});return P.polygon(e,m,t)},a}async function yt(t,e,{config:{themeVariables:r,flowchart:i}}){const{labelStyles:o}=(0,n.GX)(e);e.labelStyle=o;const s=e.assetHeight??48,c=e.assetWidth??48,d=Math.max(s,c),f=i?.wrappingWidth;e.width=Math.max(d,f??0);const{shapeSvg:g,bbox:y,label:m}=await u(t,e,"icon-shape 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u(t,e,"icon-shape default"),b="t"===e.pos,k=d+2*m,w=d+2*m,{nodeBorder:_,mainBkg:v}=r,{stylesMap:S}=(0,n.WW)(e),T=-w/2,A=-k/2,M=e.label?8:0,B=h.A.svg(g),L=(0,n.Fr)(e,{});"handDrawn"!==e.look&&(L.roughness=0,L.fillStyle="solid");const F=S.get("fill");L.stroke=F??v;const $=B.path(C(T,A,w,k,.1),L),E=Math.max(w,y.width),D=k+y.height+M,O=B.rectangle(-E/2,-D/2,E,D,{...L,fill:"transparent",stroke:"none"}),R=g.insert(()=>$,":first-child"),K=g.insert(()=>O);if(e.icon){const t=g.append("g");t.html(`<g>${await(0,a.WY)(e.icon,{height:d,width:d,fallbackPrefix:""})}</g>`);const r=t.node().getBBox(),i=r.width,n=r.height,o=r.x,s=r.y;t.attr("transform",`translate(${-i/2-o},${b?y.height/2+M/2-n/2-s:-y.height/2-M/2-n/2-s})`),t.attr("style",`color: ${S.get("stroke")??_};`)}return x.attr("transform",`translate(${-y.width/2-(y.x-(y.left??0))},${b?-D/2:D/2-y.height})`),R.attr("transform",`translate(0,${b?y.height/2+M/2:-y.height/2-M/2})`),p(e,K),e.intersect=function(t){if(l.Rm.info("iconSquare 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d=Math.max(e.label?c??0:0,e?.assetWidth??a),f="on"===e.constraint&&e?.assetHeight?e.assetHeight*e.imageAspectRatio:d,g="on"===e.constraint?f/e.imageAspectRatio:e?.assetHeight??o;e.width=Math.max(f,c??0);const{shapeSvg:y,bbox:m,label:x}=await u(t,e,"image-shape default"),b="t"===e.pos,k=-f/2,w=-g/2,C=e.label?8:0,_=h.A.svg(y),v=(0,n.Fr)(e,{});"handDrawn"!==e.look&&(v.roughness=0,v.fillStyle="solid");const S=_.rectangle(k,w,f,g,v),T=Math.max(f,m.width),A=g+m.height+C,M=_.rectangle(-T/2,-A/2,T,A,{...v,fill:"none",stroke:"none"}),B=y.insert(()=>S,":first-child"),L=y.insert(()=>M);if(e.img){const t=y.append("image");t.attr("href",e.img),t.attr("width",f),t.attr("height",g),t.attr("preserveAspectRatio","none"),t.attr("transform",`translate(${-f/2},${b?A/2-g:-A/2})`)}return x.attr("transform",`translate(${-m.width/2-(m.x-(m.left??0))},${b?-g/2-m.height/2-C/2:g/2-m.height/2+C/2})`),B.attr("transform",`translate(0,${b?m.height/2+C/2:-m.height/2-C/2})`),p(e,L),e.intersect=function(t){if(l.Rm.info("iconSquare intersect",e,t),!e.label)return P.rect(e,t);const r=e.x??0,i=e.y??0,n=e.height??0;let a=[];a=b?[{x:r-m.width/2,y:i-n/2},{x:r+m.width/2,y:i-n/2},{x:r+m.width/2,y:i-n/2+m.height+C},{x:r+f/2,y:i-n/2+m.height+C},{x:r+f/2,y:i+n/2},{x:r-f/2,y:i+n/2},{x:r-f/2,y:i-n/2+m.height+C},{x:r-m.width/2,y:i-n/2+m.height+C}]:[{x:r-f/2,y:i-n/2},{x:r+f/2,y:i-n/2},{x:r+f/2,y:i-n/2+g},{x:r+m.width/2,y:i-n/2+g},{x:r+m.width/2/2,y:i+n/2},{x:r-m.width/2,y:i+n/2},{x:r-m.width/2,y:i-n/2+g},{x:r-f/2,y:i-n/2+g}];return P.polygon(e,a,t)},y}async function wt(t,e){const{labelStyles:r,nodeStyles:i}=(0,n.GX)(e);e.labelStyle=r;const{shapeSvg:a,bbox:o}=await u(t,e,f(e)),s=Math.max(o.width+2*(e.padding??0),e?.width??0),l=Math.max(o.height+2*(e.padding??0),e?.height??0),c=[{x:0,y:0},{x:s,y:0},{x:s+3*l/6,y:-l},{x:-3*l/6,y:-l}];let d;const{cssStyles:y}=e;if("handDrawn"===e.look){const t=h.A.svg(a),r=(0,n.Fr)(e,{}),i=g(c),o=t.path(i,r);d=a.insert(()=>o,":first-child").attr("transform",`translate(${-s/2}, ${l/2})`),y&&d.attr("style",y)}else d=H(a,s,l,c);return i&&d.attr("style",i),e.width=s,e.height=l,p(e,d),e.intersect=function(t){return P.polygon(e,c,t)},a}async function Ct(t,e,r){const{labelStyles:i,nodeStyles:a}=(0,n.GX)(e);e.labelStyle=i;const{shapeSvg:s,bbox:l}=await u(t,e,f(e)),c=Math.max(l.width+2*r.labelPaddingX,e?.width||0),d=Math.max(l.height+2*r.labelPaddingY,e?.height||0),g=-c/2,y=-d/2;let m,{rx:x,ry:b}=e;const{cssStyles:k}=e;if(r?.rx&&r.ry&&(x=r.rx,b=r.ry),"handDrawn"===e.look){const t=h.A.svg(s),r=(0,n.Fr)(e,{}),i=x||b?t.path(C(g,y,c,d,x||0),r):t.rectangle(g,y,c,d,r);m=s.insert(()=>i,":first-child"),m.attr("class","basic 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0===t[n]&&(t[n]=Array.isArray(e[n])?[]:{}),t[n]=v(t[n],e[n],{depth:r-1,clobber:i}))}),t)},"assignWithDepth"),S=v,T="#ffffff",A="#f2f2f2",M=(0,i.K2)((t,e)=>o(t,e?{s:-40,l:10}:{s:-40,l:-10}),"mkBorder"),B=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#f4f4f4",this.primaryColor="#fff4dd",this.noteBkgColor="#fff5ad",this.noteTextColor="#333",this.THEME_COLOR_LIMIT=12,this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px"}updateColors(){if(this.primaryTextColor=this.primaryTextColor||(this.darkMode?"#eee":"#333"),this.secondaryColor=this.secondaryColor||o(this.primaryColor,{h:-120}),this.tertiaryColor=this.tertiaryColor||o(this.primaryColor,{h:180,l:5}),this.primaryBorderColor=this.primaryBorderColor||M(this.primaryColor,this.darkMode),this.secondaryBorderColor=this.secondaryBorderColor||M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=this.tertiaryBorderColor||M(this.tertiaryColor,this.darkMode),this.noteBorderColor=this.noteBorderColor||M(this.noteBkgColor,this.darkMode),this.noteBkgColor=this.noteBkgColor||"#fff5ad",this.noteTextColor=this.noteTextColor||"#333",this.secondaryTextColor=this.secondaryTextColor||c(this.secondaryColor),this.tertiaryTextColor=this.tertiaryTextColor||c(this.tertiaryColor),this.lineColor=this.lineColor||c(this.background),this.arrowheadColor=this.arrowheadColor||c(this.background),this.textColor=this.textColor||this.primaryTextColor,this.border2=this.border2||this.tertiaryBorderColor,this.nodeBkg=this.nodeBkg||this.primaryColor,this.mainBkg=this.mainBkg||this.primaryColor,this.nodeBorder=this.nodeBorder||this.primaryBorderColor,this.clusterBkg=this.clusterBkg||this.tertiaryColor,this.clusterBorder=this.clusterBorder||this.tertiaryBorderColor,this.defaultLinkColor=this.defaultLinkColor||this.lineColor,this.titleColor=this.titleColor||this.tertiaryTextColor,this.edgeLabelBackground=this.edgeLabelBackground||(this.darkMode?(0,u.A)(this.secondaryColor,30):this.secondaryColor),this.nodeTextColor=this.nodeTextColor||this.primaryTextColor,this.actorBorder=this.actorBorder||this.primaryBorderColor,this.actorBkg=this.actorBkg||this.mainBkg,this.actorTextColor=this.actorTextColor||this.primaryTextColor,this.actorLineColor=this.actorLineColor||this.actorBorder,this.labelBoxBkgColor=this.labelBoxBkgColor||this.actorBkg,this.signalColor=this.signalColor||this.textColor,this.signalTextColor=this.signalTextColor||this.textColor,this.labelBoxBorderColor=this.labelBoxBorderColor||this.actorBorder,this.labelTextColor=this.labelTextColor||this.actorTextColor,this.loopTextColor=this.loopTextColor||this.actorTextColor,this.activationBorderColor=this.activationBorderColor||(0,u.A)(this.secondaryColor,10),this.activationBkgColor=this.activationBkgColor||this.secondaryColor,this.sequenceNumberColor=this.sequenceNumberColor||c(this.lineColor),this.sectionBkgColor=this.sectionBkgColor||this.tertiaryColor,this.altSectionBkgColor=this.altSectionBkgColor||"white",this.sectionBkgColor=this.sectionBkgColor||this.secondaryColor,this.sectionBkgColor2=this.sectionBkgColor2||this.primaryColor,this.excludeBkgColor=this.excludeBkgColor||"#eeeeee",this.taskBorderColor=this.taskBorderColor||this.primaryBorderColor,this.taskBkgColor=this.taskBkgColor||this.primaryColor,this.activeTaskBorderColor=this.activeTaskBorderColor||this.primaryColor,this.activeTaskBkgColor=this.activeTaskBkgColor||(0,d.A)(this.primaryColor,23),this.gridColor=this.gridColor||"lightgrey",this.doneTaskBkgColor=this.doneTaskBkgColor||"lightgrey",this.doneTaskBorderColor=this.doneTaskBorderColor||"grey",this.critBorderColor=this.critBorderColor||"#ff8888",this.critBkgColor=this.critBkgColor||"red",this.todayLineColor=this.todayLineColor||"red",this.vertLineColor=this.vertLineColor||"navy",this.taskTextColor=this.taskTextColor||this.textColor,this.taskTextOutsideColor=this.taskTextOutsideColor||this.textColor,this.taskTextLightColor=this.taskTextLightColor||this.textColor,this.taskTextColor=this.taskTextColor||this.primaryTextColor,this.taskTextDarkColor=this.taskTextDarkColor||this.textColor,this.taskTextClickableColor=this.taskTextClickableColor||"#003163",this.personBorder=this.personBorder||this.primaryBorderColor,this.personBkg=this.personBkg||this.mainBkg,this.darkMode?(this.rowOdd=this.rowOdd||(0,u.A)(this.mainBkg,5)||"#ffffff",this.rowEven=this.rowEven||(0,u.A)(this.mainBkg,10)):(this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,75)||"#ffffff",this.rowEven=this.rowEven||(0,d.A)(this.mainBkg,5)),this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||this.tertiaryColor,this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.specialStateColor=this.lineColor,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210,l:150}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330}),this.darkMode)for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScale"+e]=(0,u.A)(this["cScale"+e],75);else for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScale"+e]=(0,u.A)(this["cScale"+e],25);for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScaleInv"+e]=this["cScaleInv"+e]||c(this["cScale"+e]);for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this.darkMode?this["cScalePeer"+e]=this["cScalePeer"+e]||(0,d.A)(this["cScale"+e],10):this["cScalePeer"+e]=this["cScalePeer"+e]||(0,u.A)(this["cScale"+e],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScaleLabel"+e]=this["cScaleLabel"+e]||this.scaleLabelColor;const t=this.darkMode?-4:-1;for(let e=0;e<5;e++)this["surface"+e]=this["surface"+e]||o(this.mainBkg,{h:180,s:-15,l:t*(5+3*e)}),this["surfacePeer"+e]=this["surfacePeer"+e]||o(this.mainBkg,{h:180,s:-15,l:t*(8+3*e)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||o(this.primaryColor,{h:64}),this.fillType3=this.fillType3||o(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||o(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||o(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||o(this.primaryColor,{h:128}),this.fillType7=this.fillType7||o(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||o(this.primaryColor,{l:-10}),this.pie5=this.pie5||o(this.secondaryColor,{l:-10}),this.pie6=this.pie6||o(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||o(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||o(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||o(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||o(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||o(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||o(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.archEdgeColor=this.archEdgeColor||"#777",this.archEdgeArrowColor=this.archEdgeArrowColor||"#777",this.archEdgeWidth=this.archEdgeWidth||"3",this.archGroupBorderColor=this.archGroupBorderColor||"#000",this.archGroupBorderWidth=this.archGroupBorderWidth||"2px",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#FFF4DD,#FFD8B1,#FFA07A,#ECEFF1,#D6DBDF,#C3E0A8,#FFB6A4,#FFD74D,#738FA7,#FFFFF0"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,u.A)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||o(this.primaryColor,{h:-30}),this.git4=this.git4||o(this.primaryColor,{h:-60}),this.git5=this.git5||o(this.primaryColor,{h:-90}),this.git6=this.git6||o(this.primaryColor,{h:60}),this.git7=this.git7||o(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,d.A)(this.git0,25),this.git1=(0,d.A)(this.git1,25),this.git2=(0,d.A)(this.git2,25),this.git3=(0,d.A)(this.git3,25),this.git4=(0,d.A)(this.git4,25),this.git5=(0,d.A)(this.git5,25),this.git6=(0,d.A)(this.git6,25),this.git7=(0,d.A)(this.git7,25)):(this.git0=(0,u.A)(this.git0,25),this.git1=(0,u.A)(this.git1,25),this.git2=(0,u.A)(this.git2,25),this.git3=(0,u.A)(this.git3,25),this.git4=(0,u.A)(this.git4,25),this.git5=(0,u.A)(this.git5,25),this.git6=(0,u.A)(this.git6,25),this.git7=(0,u.A)(this.git7,25)),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},L=(0,i.K2)(t=>{const e=new B;return e.calculate(t),e},"getThemeVariables"),F=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,d.A)(this.primaryColor,16),this.tertiaryColor=o(this.primaryColor,{h:-160}),this.primaryBorderColor=c(this.background),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.tertiaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,d.A)(c("#323D47"),10),this.lineColor="calculated",this.border1="#ccc",this.border2=(0,s.A)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,u.A)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,u.A)(this.sectionBkgColor,10),this.taskBorderColor=(0,s.A)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,s.A)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.vertLineColor="#00BFFF",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,5)||"#ffffff",this.rowEven=this.rowEven||(0,u.A)(this.mainBkg,10),this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=(0,d.A)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,d.A)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.actorBorder,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,d.A)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||c(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScalePeer"+t]=this["cScalePeer"+t]||(0,d.A)(this["cScale"+t],10);for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{h:30,s:-30,l:-(4*t-10)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{h:30,s:-30,l:-(4*t-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#3498db,#2ecc71,#e74c3c,#f1c40f,#bdc3c7,#ffffff,#34495e,#9b59b6,#1abc9c,#e67e22"},this.packet={startByteColor:this.primaryTextColor,endByteColor:this.primaryTextColor,labelColor:this.primaryTextColor,titleColor:this.primaryTextColor,blockStrokeColor:this.primaryTextColor,blockFillColor:this.background},this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,u.A)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,d.A)(this.secondaryColor,20),this.git1=(0,d.A)(this.pie2||this.secondaryColor,20),this.git2=(0,d.A)(this.pie3||this.tertiaryColor,20),this.git3=(0,d.A)(this.pie4||o(this.primaryColor,{h:-30}),20),this.git4=(0,d.A)(this.pie5||o(this.primaryColor,{h:-60}),20),this.git5=(0,d.A)(this.pie6||o(this.primaryColor,{h:-90}),10),this.git6=(0,d.A)(this.pie7||o(this.primaryColor,{h:60}),10),this.git7=(0,d.A)(this.pie8||o(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||c(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||c(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,d.A)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,d.A)(this.background,2),this.nodeBorder=this.nodeBorder||"#999"}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},$=(0,i.K2)(t=>{const e=new F;return e.calculate(t),e},"getThemeVariables"),E=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#f4f4f4",this.primaryColor="#ECECFF",this.secondaryColor=o(this.primaryColor,{h:120}),this.secondaryColor="#ffffde",this.tertiaryColor=o(this.primaryColor,{h:-160}),this.primaryBorderColor=M(this.primaryColor,this.darkMode),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.tertiaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.background="white",this.mainBkg="#ECECFF",this.secondBkg="#ffffde",this.lineColor="#333333",this.border1="#9370DB",this.border2="#aaaa33",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="rgba(232,232,232, 0.8)",this.textColor="#333",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="calculated",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="calculated",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor="calculated",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor="calculated",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBorderColor="calculated",this.critBkgColor="calculated",this.todayLineColor="calculated",this.vertLineColor="calculated",this.sectionBkgColor=(0,s.A)(102,102,255,.49),this.altSectionBkgColor="white",this.sectionBkgColor2="#fff400",this.taskBorderColor="#534fbc",this.taskBkgColor="#8a90dd",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="#534fbc",this.activeTaskBkgColor="#bfc7ff",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.vertLineColor="navy",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.rowOdd="calculated",this.rowEven="calculated",this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222",this.updateColors()}updateColors(){this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,u.A)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,u.A)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,u.A)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,u.A)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||o(this["cScale"+t],{h:180});for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{h:30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{h:30,l:-(7+5*t)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||c(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||c(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,d.A)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.actorLineColor=this.actorBorder,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.rowOdd=this.rowOdd||(0,d.A)(this.primaryColor,75)||"#ffffff",this.rowEven=this.rowEven||(0,d.A)(this.primaryColor,1),this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||o(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||o(this.primaryColor,{l:-10}),this.pie5=this.pie5||o(this.secondaryColor,{l:-30}),this.pie6=this.pie6||o(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||o(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||o(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||o(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||o(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||o(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||o(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#ECECFF,#8493A6,#FFC3A0,#DCDDE1,#B8E994,#D1A36F,#C3CDE6,#FFB6C1,#496078,#F8F3E3"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||o(this.primaryColor,{h:-30}),this.git4=this.git4||o(this.primaryColor,{h:-60}),this.git5=this.git5||o(this.primaryColor,{h:-90}),this.git6=this.git6||o(this.primaryColor,{h:60}),this.git7=this.git7||o(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,d.A)(this.git0,25),this.git1=(0,d.A)(this.git1,25),this.git2=(0,d.A)(this.git2,25),this.git3=(0,d.A)(this.git3,25),this.git4=(0,d.A)(this.git4,25),this.git5=(0,d.A)(this.git5,25),this.git6=(0,d.A)(this.git6,25),this.git7=(0,d.A)(this.git7,25)):(this.git0=(0,u.A)(this.git0,25),this.git1=(0,u.A)(this.git1,25),this.git2=(0,u.A)(this.git2,25),this.git3=(0,u.A)(this.git3,25),this.git4=(0,u.A)(this.git4,25),this.git5=(0,u.A)(this.git5,25),this.git6=(0,u.A)(this.git6,25),this.git7=(0,u.A)(this.git7,25)),this.gitInv0=this.gitInv0||(0,u.A)(c(this.git0),25),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||c(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||c(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if(Object.keys(this).forEach(t=>{"calculated"===this[t]&&(this[t]=void 0)}),"object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},D=(0,i.K2)(t=>{const e=new E;return e.calculate(t),e},"getThemeVariables"),O=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,d.A)("#cde498",10),this.primaryBorderColor=M(this.primaryColor,this.darkMode),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.primaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="calculated",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.vertLineColor="#00BFFF",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=(0,u.A)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.actorLineColor=this.actorBorder,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,u.A)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,u.A)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,u.A)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,u.A)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||o(this["cScale"+t],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{h:30,s:-30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{h:30,s:-30,l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,75)||"#ffffff",this.rowEven=this.rowEven||(0,d.A)(this.mainBkg,20),this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||o(this.primaryColor,{l:-30}),this.pie5=this.pie5||o(this.secondaryColor,{l:-30}),this.pie6=this.pie6||o(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||o(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||o(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||o(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||o(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||o(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||o(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.packet={startByteColor:this.primaryTextColor,endByteColor:this.primaryTextColor,labelColor:this.primaryTextColor,titleColor:this.primaryTextColor,blockStrokeColor:this.primaryTextColor,blockFillColor:this.mainBkg},this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#CDE498,#FF6B6B,#A0D2DB,#D7BDE2,#F0F0F0,#FFC3A0,#7FD8BE,#FF9A8B,#FAF3E0,#FFF176"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||o(this.primaryColor,{h:-30}),this.git4=this.git4||o(this.primaryColor,{h:-60}),this.git5=this.git5||o(this.primaryColor,{h:-90}),this.git6=this.git6||o(this.primaryColor,{h:60}),this.git7=this.git7||o(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,d.A)(this.git0,25),this.git1=(0,d.A)(this.git1,25),this.git2=(0,d.A)(this.git2,25),this.git3=(0,d.A)(this.git3,25),this.git4=(0,d.A)(this.git4,25),this.git5=(0,d.A)(this.git5,25),this.git6=(0,d.A)(this.git6,25),this.git7=(0,d.A)(this.git7,25)):(this.git0=(0,u.A)(this.git0,25),this.git1=(0,u.A)(this.git1,25),this.git2=(0,u.A)(this.git2,25),this.git3=(0,u.A)(this.git3,25),this.git4=(0,u.A)(this.git4,25),this.git5=(0,u.A)(this.git5,25),this.git6=(0,u.A)(this.git6,25),this.git7=(0,u.A)(this.git7,25)),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||c(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||c(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},R=(0,i.K2)(t=>{const e=new O;return e.calculate(t),e},"getThemeVariables"),K=class{static{(0,i.K2)(this,"Theme")}constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,d.A)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=o(this.primaryColor,{h:-160}),this.primaryBorderColor=M(this.primaryColor,this.darkMode),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.tertiaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor=this.actorBorder,this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.vertLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,75)||"#ffffff",this.rowEven=this.rowEven||"#f4f4f4",this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.secondBkg=(0,d.A)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,d.A)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.actorBorder,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||c(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,d.A)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,u.A)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,d.A)(this.contrast,30),this.sectionBkgColor2=(0,d.A)(this.contrast,30),this.taskBorderColor=(0,u.A)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,d.A)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,u.A)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.vertLineColor=this.critBkgColor,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#EEE,#6BB8E4,#8ACB88,#C7ACD6,#E8DCC2,#FFB2A8,#FFF380,#7E8D91,#FFD8B1,#FAF3E0"},this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,u.A)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||o(this.primaryColor,{h:-30}),this.git4=this.pie5||o(this.primaryColor,{h:-60}),this.git5=this.pie6||o(this.primaryColor,{h:-90}),this.git6=this.pie7||o(this.primaryColor,{h:60}),this.git7=this.pie8||o(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},I={base:{getThemeVariables:L},dark:{getThemeVariables:$},default:{getThemeVariables:D},forest:{getThemeVariables:R},neutral:{getThemeVariables:(0,i.K2)(t=>{const e=new K;return e.calculate(t),e},"getThemeVariables")}},N={flowchart:{useMaxWidth:!0,titleTopMargin:25,subGraphTitleMargin:{top:0,bottom:0},diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200,inheritDir:!1},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", 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e=n.items[t].tokens.filter(t=>"space"===t.type),r=e.length>0&&e.some(t=>this.rules.other.anyLine.test(t.raw));n.loose=r}if(n.loose)for(let t=0;t<n.items.length;t++)n.items[t].loose=!0;return n}}html(t){let e=this.rules.block.html.exec(t);if(e)return{type:"html",block:!0,raw:e[0],pre:"pre"===e[1]||"script"===e[1]||"style"===e[1],text:e[0]}}def(t){let e=this.rules.block.def.exec(t);if(e){let t=e[1].toLowerCase().replace(this.rules.other.multipleSpaceGlobal," "),r=e[2]?e[2].replace(this.rules.other.hrefBrackets,"$1").replace(this.rules.inline.anyPunctuation,"$1"):"",i=e[3]?e[3].substring(1,e[3].length-1).replace(this.rules.inline.anyPunctuation,"$1"):e[3];return{type:"def",tag:t,raw:e[0],href:r,title:i}}}table(t){let e=this.rules.block.table.exec(t);if(!e||!this.rules.other.tableDelimiter.test(e[2]))return;let r=Tt(e[1]),i=e[2].replace(this.rules.other.tableAlignChars,"").split("|"),n=e[3]?.trim()?e[3].replace(this.rules.other.tableRowBlankLine,"").split("\n"):[],a={type:"table",raw:e[0],header:[],align:[],rows:[]};if(r.length===i.length){for(let t of i)this.rules.other.tableAlignRight.test(t)?a.align.push("right"):this.rules.other.tableAlignCenter.test(t)?a.align.push("center"):this.rules.other.tableAlignLeft.test(t)?a.align.push("left"):a.align.push(null);for(let t=0;t<r.length;t++)a.header.push({text:r[t],tokens:this.lexer.inline(r[t]),header:!0,align:a.align[t]});for(let t of n)a.rows.push(Tt(t,a.header.length).map((t,e)=>({text:t,tokens:this.lexer.inline(t),header:!1,align:a.align[e]})));return a}}lheading(t){let e=this.rules.block.lheading.exec(t);if(e)return{type:"heading",raw:e[0],depth:"="===e[2].charAt(0)?1:2,text:e[1],tokens:this.lexer.inline(e[1])}}paragraph(t){let e=this.rules.block.paragraph.exec(t);if(e){let t="\n"===e[1].charAt(e[1].length-1)?e[1].slice(0,-1):e[1];return{type:"paragraph",raw:e[0],text:t,tokens:this.lexer.inline(t)}}}text(t){let e=this.rules.block.text.exec(t);if(e)return{type:"text",raw:e[0],text:e[0],tokens:this.lexer.inline(e[0])}}escape(t){let e=this.rules.inline.escape.exec(t);if(e)return{type:"escape",raw:e[0],text:e[1]}}tag(t){let e=this.rules.inline.tag.exec(t);if(e)return!this.lexer.state.inLink&&this.rules.other.startATag.test(e[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(e[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(e[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(e[0])&&(this.lexer.state.inRawBlock=!1),{type:"html",raw:e[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:e[0]}}link(t){let e=this.rules.inline.link.exec(t);if(e){let t=e[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(t)){if(!this.rules.other.endAngleBracket.test(t))return;let e=At(t.slice(0,-1),"\\");if((t.length-e.length)%2==0)return}else{let t=function(t,e){if(-1===t.indexOf(e[1]))return-1;let r=0;for(let i=0;i<t.length;i++)if("\\"===t[i])i++;else if(t[i]===e[0])r++;else if(t[i]===e[1]&&(r--,r<0))return i;return r>0?-2:-1}(e[2],"()");if(-2===t)return;if(t>-1){let r=(0===e[0].indexOf("!")?5:4)+e[1].length+t;e[2]=e[2].substring(0,t),e[0]=e[0].substring(0,r).trim(),e[3]=""}}let r=e[2],i="";if(this.options.pedantic){let t=this.rules.other.pedanticHrefTitle.exec(r);t&&(r=t[1],i=t[3])}else i=e[3]?e[3].slice(1,-1):"";return r=r.trim(),this.rules.other.startAngleBracket.test(r)&&(r=this.options.pedantic&&!this.rules.other.endAngleBracket.test(t)?r.slice(1):r.slice(1,-1)),Mt(e,{href:r&&r.replace(this.rules.inline.anyPunctuation,"$1"),title:i&&i.replace(this.rules.inline.anyPunctuation,"$1")},e[0],this.lexer,this.rules)}}reflink(t,e){let r;if((r=this.rules.inline.reflink.exec(t))||(r=this.rules.inline.nolink.exec(t))){let t=e[(r[2]||r[1]).replace(this.rules.other.multipleSpaceGlobal," ").toLowerCase()];if(!t){let t=r[0].charAt(0);return{type:"text",raw:t,text:t}}return Mt(r,t,r[0],this.lexer,this.rules)}}emStrong(t,e,r=""){let i=this.rules.inline.emStrongLDelim.exec(t);if(!(!i||i[3]&&r.match(this.rules.other.unicodeAlphaNumeric))&&(!i[1]&&!i[2]||!r||this.rules.inline.punctuation.exec(r))){let r,n,a=[...i[0]].length-1,o=a,s=0,l="*"===i[0][0]?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(l.lastIndex=0,e=e.slice(-1*t.length+a);null!=(i=l.exec(e));){if(r=i[1]||i[2]||i[3]||i[4]||i[5]||i[6],!r)continue;if(n=[...r].length,i[3]||i[4]){o+=n;continue}if((i[5]||i[6])&&a%3&&!((a+n)%3)){s+=n;continue}if(o-=n,o>0)continue;n=Math.min(n,n+o+s);let e=[...i[0]][0].length,l=t.slice(0,a+i.index+e+n);if(Math.min(a,n)%2){let t=l.slice(1,-1);return{type:"em",raw:l,text:t,tokens:this.lexer.inlineTokens(t)}}let c=l.slice(2,-2);return{type:"strong",raw:l,text:c,tokens:this.lexer.inlineTokens(c)}}}}codespan(t){let e=this.rules.inline.code.exec(t);if(e){let t=e[2].replace(this.rules.other.newLineCharGlobal," "),r=this.rules.other.nonSpaceChar.test(t),i=this.rules.other.startingSpaceChar.test(t)&&this.rules.other.endingSpaceChar.test(t);return r&&i&&(t=t.substring(1,t.length-1)),{type:"codespan",raw:e[0],text:t}}}br(t){let e=this.rules.inline.br.exec(t);if(e)return{type:"br",raw:e[0]}}del(t){let e=this.rules.inline.del.exec(t);if(e)return{type:"del",raw:e[0],text:e[2],tokens:this.lexer.inlineTokens(e[2])}}autolink(t){let e=this.rules.inline.autolink.exec(t);if(e){let t,r;return"@"===e[2]?(t=e[1],r="mailto:"+t):(t=e[1],r=t),{type:"link",raw:e[0],text:t,href:r,tokens:[{type:"text",raw:t,text:t}]}}}url(t){let e;if(e=this.rules.inline.url.exec(t)){let t,r;if("@"===e[2])t=e[0],r="mailto:"+t;else{let i;do{i=e[0],e[0]=this.rules.inline._backpedal.exec(e[0])?.[0]??""}while(i!==e[0]);t=e[0],r="www."===e[1]?"http://"+e[0]:e[0]}return{type:"link",raw:e[0],text:t,href:r,tokens:[{type:"text",raw:t,text:t}]}}}inlineText(t){let e=this.rules.inline.text.exec(t);if(e){let t=this.lexer.state.inRawBlock;return{type:"text",raw:e[0],text:e[0],escaped:t}}}},Lt=class t{tokens;options;state;tokenizer;inlineQueue;constructor(t){this.tokens=[],this.tokens.links=Object.create(null),this.options=t||v,this.options.tokenizer=this.options.tokenizer||new Bt,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};let e={other:B,block:kt.normal,inline:wt.normal};this.options.pedantic?(e.block=kt.pedantic,e.inline=wt.pedantic):this.options.gfm&&(e.block=kt.gfm,this.options.breaks?e.inline=wt.breaks:e.inline=wt.gfm),this.tokenizer.rules=e}static get rules(){return{block:kt,inline:wt}}static lex(e,r){return new t(r).lex(e)}static lexInline(e,r){return new t(r).inlineTokens(e)}lex(t){t=t.replace(B.carriageReturn,"\n"),this.blockTokens(t,this.tokens);for(let e=0;e<this.inlineQueue.length;e++){let t=this.inlineQueue[e];this.inlineTokens(t.src,t.tokens)}return this.inlineQueue=[],this.tokens}blockTokens(t,e=[],r=!1){for(this.options.pedantic&&(t=t.replace(B.tabCharGlobal,"    ").replace(B.spaceLine,""));t;){let i;if(this.options.extensions?.block?.some(r=>!!(i=r.call({lexer:this},t,e))&&(t=t.substring(i.raw.length),e.push(i),!0)))continue;if(i=this.tokenizer.space(t)){t=t.substring(i.raw.length);let r=e.at(-1);1===i.raw.length&&void 0!==r?r.raw+="\n":e.push(i);continue}if(i=this.tokenizer.code(t)){t=t.substring(i.raw.length);let r=e.at(-1);"paragraph"===r?.type||"text"===r?.type?(r.raw+=(r.raw.endsWith("\n")?"":"\n")+i.raw,r.text+="\n"+i.text,this.inlineQueue.at(-1).src=r.text):e.push(i);continue}if(i=this.tokenizer.fences(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.heading(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.hr(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.blockquote(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.list(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.html(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.def(t)){t=t.substring(i.raw.length);let r=e.at(-1);"paragraph"===r?.type||"text"===r?.type?(r.raw+=(r.raw.endsWith("\n")?"":"\n")+i.raw,r.text+="\n"+i.raw,this.inlineQueue.at(-1).src=r.text):this.tokens.links[i.tag]||(this.tokens.links[i.tag]={href:i.href,title:i.title},e.push(i));continue}if(i=this.tokenizer.table(t)){t=t.substring(i.raw.length),e.push(i);continue}if(i=this.tokenizer.lheading(t)){t=t.substring(i.raw.length),e.push(i);continue}let n=t;if(this.options.extensions?.startBlock){let e,r=1/0,i=t.slice(1);this.options.extensions.startBlock.forEach(t=>{e=t.call({lexer:this},i),"number"==typeof e&&e>=0&&(r=Math.min(r,e))}),r<1/0&&r>=0&&(n=t.substring(0,r+1))}if(this.state.top&&(i=this.tokenizer.paragraph(n))){let a=e.at(-1);r&&"paragraph"===a?.type?(a.raw+=(a.raw.endsWith("\n")?"":"\n")+i.raw,a.text+="\n"+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=a.text):e.push(i),r=n.length!==t.length,t=t.substring(i.raw.length);continue}if(i=this.tokenizer.text(t)){t=t.substring(i.raw.length);let r=e.at(-1);"text"===r?.type?(r.raw+=(r.raw.endsWith("\n")?"":"\n")+i.raw,r.text+="\n"+i.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=r.text):e.push(i);continue}if(t){let e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}return this.state.top=!0,e}inline(t,e=[]){return this.inlineQueue.push({src:t,tokens:e}),e}inlineTokens(t,e=[]){let r,i=t,n=null;if(this.tokens.links){let t=Object.keys(this.tokens.links);if(t.length>0)for(;null!=(n=this.tokenizer.rules.inline.reflinkSearch.exec(i));)t.includes(n[0].slice(n[0].lastIndexOf("[")+1,-1))&&(i=i.slice(0,n.index)+"["+"a".repeat(n[0].length-2)+"]"+i.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(n=this.tokenizer.rules.inline.anyPunctuation.exec(i));)i=i.slice(0,n.index)+"++"+i.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;null!=(n=this.tokenizer.rules.inline.blockSkip.exec(i));)r=n[2]?n[2].length:0,i=i.slice(0,n.index+r)+"["+"a".repeat(n[0].length-r-2)+"]"+i.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);i=this.options.hooks?.emStrongMask?.call({lexer:this},i)??i;let a=!1,o="";for(;t;){let r;if(a||(o=""),a=!1,this.options.extensions?.inline?.some(i=>!!(r=i.call({lexer:this},t,e))&&(t=t.substring(r.raw.length),e.push(r),!0)))continue;if(r=this.tokenizer.escape(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.tag(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.link(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.reflink(t,this.tokens.links)){t=t.substring(r.raw.length);let i=e.at(-1);"text"===r.type&&"text"===i?.type?(i.raw+=r.raw,i.text+=r.text):e.push(r);continue}if(r=this.tokenizer.emStrong(t,i,o)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.codespan(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.br(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.del(t)){t=t.substring(r.raw.length),e.push(r);continue}if(r=this.tokenizer.autolink(t)){t=t.substring(r.raw.length),e.push(r);continue}if(!this.state.inLink&&(r=this.tokenizer.url(t))){t=t.substring(r.raw.length),e.push(r);continue}let n=t;if(this.options.extensions?.startInline){let e,r=1/0,i=t.slice(1);this.options.extensions.startInline.forEach(t=>{e=t.call({lexer:this},i),"number"==typeof e&&e>=0&&(r=Math.min(r,e))}),r<1/0&&r>=0&&(n=t.substring(0,r+1))}if(r=this.tokenizer.inlineText(n)){t=t.substring(r.raw.length),"_"!==r.raw.slice(-1)&&(o=r.raw.slice(-1)),a=!0;let i=e.at(-1);"text"===i?.type?(i.raw+=r.raw,i.text+=r.text):e.push(r);continue}if(t){let e="Infinite loop on byte: "+t.charCodeAt(0);if(this.options.silent){console.error(e);break}throw new Error(e)}}return e}},Ft=class{options;parser;constructor(t){this.options=t||v}space(t){return""}code({text:t,lang:e,escaped:r}){let i=(e||"").match(B.notSpaceStart)?.[0],n=t.replace(B.endingNewline,"")+"\n";return i?'<pre><code class="language-'+vt(i)+'">'+(r?n:vt(n,!0))+"</code></pre>\n":"<pre><code>"+(r?n:vt(n,!0))+"</code></pre>\n"}blockquote({tokens:t}){return`<blockquote>\n${this.parser.parse(t)}</blockquote>\n`}html({text:t}){return t}def(t){return""}heading({tokens:t,depth:e}){return`<h${e}>${this.parser.parseInline(t)}</h${e}>\n`}hr(t){return"<hr>\n"}list(t){let e=t.ordered,r=t.start,i="";for(let a=0;a<t.items.length;a++){let e=t.items[a];i+=this.listitem(e)}let n=e?"ol":"ul";return"<"+n+(e&&1!==r?' start="'+r+'"':"")+">\n"+i+"</"+n+">\n"}listitem(t){let e="";if(t.task){let r=this.checkbox({checked:!!t.checked});t.loose?"paragraph"===t.tokens[0]?.type?(t.tokens[0].text=r+" "+t.tokens[0].text,t.tokens[0].tokens&&t.tokens[0].tokens.length>0&&"text"===t.tokens[0].tokens[0].type&&(t.tokens[0].tokens[0].text=r+" "+vt(t.tokens[0].tokens[0].text),t.tokens[0].tokens[0].escaped=!0)):t.tokens.unshift({type:"text",raw:r+" ",text:r+" ",escaped:!0}):e+=r+" "}return e+=this.parser.parse(t.tokens,!!t.loose),`<li>${e}</li>\n`}checkbox({checked:t}){return"<input "+(t?'checked="" ':"")+'disabled="" type="checkbox">'}paragraph({tokens:t}){return`<p>${this.parser.parseInline(t)}</p>\n`}table(t){let e="",r="";for(let n=0;n<t.header.length;n++)r+=this.tablecell(t.header[n]);e+=this.tablerow({text:r});let i="";for(let n=0;n<t.rows.length;n++){let e=t.rows[n];r="";for(let t=0;t<e.length;t++)r+=this.tablecell(e[t]);i+=this.tablerow({text:r})}return i&&(i=`<tbody>${i}</tbody>`),"<table>\n<thead>\n"+e+"</thead>\n"+i+"</table>\n"}tablerow({text:t}){return`<tr>\n${t}</tr>\n`}tablecell(t){let e=this.parser.parseInline(t.tokens),r=t.header?"th":"td";return(t.align?`<${r} align="${t.align}">`:`<${r}>`)+e+`</${r}>\n`}strong({tokens:t}){return`<strong>${this.parser.parseInline(t)}</strong>`}em({tokens:t}){return`<em>${this.parser.parseInline(t)}</em>`}codespan({text:t}){return`<code>${vt(t,!0)}</code>`}br(t){return"<br>"}del({tokens:t}){return`<del>${this.parser.parseInline(t)}</del>`}link({href:t,title:e,tokens:r}){let i=this.parser.parseInline(r),n=St(t);if(null===n)return i;let a='<a href="'+(t=n)+'"';return e&&(a+=' title="'+vt(e)+'"'),a+=">"+i+"</a>",a}image({href:t,title:e,text:r,tokens:i}){i&&(r=this.parser.parseInline(i,this.parser.textRenderer));let n=St(t);if(null===n)return vt(r);let a=`<img src="${t=n}" alt="${r}"`;return e&&(a+=` title="${vt(e)}"`),a+=">",a}text(t){return"tokens"in 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e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScale"+e]=(0,u.A)(this["cScale"+e],75);else for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScale"+e]=(0,u.A)(this["cScale"+e],25);for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScaleInv"+e]=this["cScaleInv"+e]||c(this["cScale"+e]);for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this.darkMode?this["cScalePeer"+e]=this["cScalePeer"+e]||(0,d.A)(this["cScale"+e],10):this["cScalePeer"+e]=this["cScalePeer"+e]||(0,u.A)(this["cScale"+e],10);this.scaleLabelColor=this.scaleLabelColor||this.labelTextColor;for(let e=0;e<this.THEME_COLOR_LIMIT;e++)this["cScaleLabel"+e]=this["cScaleLabel"+e]||this.scaleLabelColor;const t=this.darkMode?-4:-1;for(let e=0;e<5;e++)this["surface"+e]=this["surface"+e]||o(this.mainBkg,{h:180,s:-15,l:t*(5+3*e)}),this["surfacePeer"+e]=this["surfacePeer"+e]||o(this.mainBkg,{h:180,s:-15,l:t*(8+3*e)});this.classText=this.classText||this.textColor,this.fillType0=this.fillType0||this.primaryColor,this.fillType1=this.fillType1||this.secondaryColor,this.fillType2=this.fillType2||o(this.primaryColor,{h:64}),this.fillType3=this.fillType3||o(this.secondaryColor,{h:64}),this.fillType4=this.fillType4||o(this.primaryColor,{h:-64}),this.fillType5=this.fillType5||o(this.secondaryColor,{h:-64}),this.fillType6=this.fillType6||o(this.primaryColor,{h:128}),this.fillType7=this.fillType7||o(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||o(this.primaryColor,{l:-10}),this.pie5=this.pie5||o(this.secondaryColor,{l:-10}),this.pie6=this.pie6||o(this.tertiaryColor,{l:-10}),this.pie7=this.pie7||o(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||o(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||o(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||o(this.primaryColor,{h:60,l:-20}),this.pie11=this.pie11||o(this.primaryColor,{h:-60,l:-20}),this.pie12=this.pie12||o(this.primaryColor,{h:120,l:-10}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.archEdgeColor=this.archEdgeColor||"#777",this.archEdgeArrowColor=this.archEdgeArrowColor||"#777",this.archEdgeWidth=this.archEdgeWidth||"3",this.archGroupBorderColor=this.archGroupBorderColor||"#000",this.archGroupBorderWidth=this.archGroupBorderWidth||"2px",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#FFF4DD,#FFD8B1,#FFA07A,#ECEFF1,#D6DBDF,#C3E0A8,#FFB6A4,#FFD74D,#738FA7,#FFFFF0"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,u.A)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||o(this.primaryColor,{h:-30}),this.git4=this.git4||o(this.primaryColor,{h:-60}),this.git5=this.git5||o(this.primaryColor,{h:-90}),this.git6=this.git6||o(this.primaryColor,{h:60}),this.git7=this.git7||o(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,d.A)(this.git0,25),this.git1=(0,d.A)(this.git1,25),this.git2=(0,d.A)(this.git2,25),this.git3=(0,d.A)(this.git3,25),this.git4=(0,d.A)(this.git4,25),this.git5=(0,d.A)(this.git5,25),this.git6=(0,d.A)(this.git6,25),this.git7=(0,d.A)(this.git7,25)):(this.git0=(0,u.A)(this.git0,25),this.git1=(0,u.A)(this.git1,25),this.git2=(0,u.A)(this.git2,25),this.git3=(0,u.A)(this.git3,25),this.git4=(0,u.A)(this.git4,25),this.git5=(0,u.A)(this.git5,25),this.git6=(0,u.A)(this.git6,25),this.git7=(0,u.A)(this.git7,25)),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.branchLabelColor=this.branchLabelColor||(this.darkMode?"black":this.labelTextColor),this.gitBranchLabel0=this.gitBranchLabel0||this.branchLabelColor,this.gitBranchLabel1=this.gitBranchLabel1||this.branchLabelColor,this.gitBranchLabel2=this.gitBranchLabel2||this.branchLabelColor,this.gitBranchLabel3=this.gitBranchLabel3||this.branchLabelColor,this.gitBranchLabel4=this.gitBranchLabel4||this.branchLabelColor,this.gitBranchLabel5=this.gitBranchLabel5||this.branchLabelColor,this.gitBranchLabel6=this.gitBranchLabel6||this.branchLabelColor,this.gitBranchLabel7=this.gitBranchLabel7||this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},L=(0,i.K2)(t=>{const e=new B;return e.calculate(t),e},"getThemeVariables"),F=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#333",this.primaryColor="#1f2020",this.secondaryColor=(0,d.A)(this.primaryColor,16),this.tertiaryColor=o(this.primaryColor,{h:-160}),this.primaryBorderColor=c(this.background),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.tertiaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.mainBkg="#1f2020",this.secondBkg="calculated",this.mainContrastColor="lightgrey",this.darkTextColor=(0,d.A)(c("#323D47"),10),this.lineColor="calculated",this.border1="#ccc",this.border2=(0,s.A)(255,255,255,.25),this.arrowheadColor="calculated",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="#181818",this.textColor="#ccc",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#F9FFFE",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="calculated",this.activationBkgColor="calculated",this.sequenceNumberColor="black",this.sectionBkgColor=(0,u.A)("#EAE8D9",30),this.altSectionBkgColor="calculated",this.sectionBkgColor2="#EAE8D9",this.excludeBkgColor=(0,u.A)(this.sectionBkgColor,10),this.taskBorderColor=(0,s.A)(255,255,255,70),this.taskBkgColor="calculated",this.taskTextColor="calculated",this.taskTextLightColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor=(0,s.A)(255,255,255,50),this.activeTaskBkgColor="#81B1DB",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="grey",this.critBorderColor="#E83737",this.critBkgColor="#E83737",this.taskTextDarkColor="calculated",this.todayLineColor="#DB5757",this.vertLineColor="#00BFFF",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,5)||"#ffffff",this.rowEven=this.rowEven||(0,u.A)(this.mainBkg,10),this.labelColor="calculated",this.errorBkgColor="#a44141",this.errorTextColor="#ddd"}updateColors(){this.secondBkg=(0,d.A)(this.mainBkg,16),this.lineColor=this.mainContrastColor,this.arrowheadColor=this.mainContrastColor,this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.edgeLabelBackground=(0,d.A)(this.labelBackground,25),this.actorBorder=this.border1,this.actorBkg=this.mainBkg,this.actorTextColor=this.mainContrastColor,this.actorLineColor=this.actorBorder,this.signalColor=this.mainContrastColor,this.signalTextColor=this.mainContrastColor,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.mainContrastColor,this.loopTextColor=this.mainContrastColor,this.noteBorderColor=this.secondaryBorderColor,this.noteBkgColor=this.secondBkg,this.noteTextColor=this.secondaryTextColor,this.activationBorderColor=this.border1,this.activationBkgColor=this.secondBkg,this.altSectionBkgColor=this.background,this.taskBkgColor=(0,d.A)(this.mainBkg,23),this.taskTextColor=this.darkTextColor,this.taskTextLightColor=this.mainContrastColor,this.taskTextOutsideColor=this.taskTextLightColor,this.gridColor=this.mainContrastColor,this.doneTaskBkgColor=this.mainContrastColor,this.taskTextDarkColor=this.darkTextColor,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#555",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#f4f4f4",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128}),this.cScale1=this.cScale1||"#0b0000",this.cScale2=this.cScale2||"#4d1037",this.cScale3=this.cScale3||"#3f5258",this.cScale4=this.cScale4||"#4f2f1b",this.cScale5=this.cScale5||"#6e0a0a",this.cScale6=this.cScale6||"#3b0048",this.cScale7=this.cScale7||"#995a01",this.cScale8=this.cScale8||"#154706",this.cScale9=this.cScale9||"#161722",this.cScale10=this.cScale10||"#00296f",this.cScale11=this.cScale11||"#01629c",this.cScale12=this.cScale12||"#010029",this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||c(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScalePeer"+t]=this["cScalePeer"+t]||(0,d.A)(this["cScale"+t],10);for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{h:30,s:-30,l:-(4*t-10)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{h:30,s:-30,l:-(4*t-7)});this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#3498db,#2ecc71,#e74c3c,#f1c40f,#bdc3c7,#ffffff,#34495e,#9b59b6,#1abc9c,#e67e22"},this.packet={startByteColor:this.primaryTextColor,endByteColor:this.primaryTextColor,labelColor:this.primaryTextColor,titleColor:this.primaryTextColor,blockStrokeColor:this.primaryTextColor,blockFillColor:this.background},this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.classText=this.primaryTextColor,this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||(this.darkMode?(0,u.A)(this.secondaryColor,30):this.secondaryColor),this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,d.A)(this.secondaryColor,20),this.git1=(0,d.A)(this.pie2||this.secondaryColor,20),this.git2=(0,d.A)(this.pie3||this.tertiaryColor,20),this.git3=(0,d.A)(this.pie4||o(this.primaryColor,{h:-30}),20),this.git4=(0,d.A)(this.pie5||o(this.primaryColor,{h:-60}),20),this.git5=(0,d.A)(this.pie6||o(this.primaryColor,{h:-90}),10),this.git6=(0,d.A)(this.pie7||o(this.primaryColor,{h:60}),10),this.git7=(0,d.A)(this.pie8||o(this.primaryColor,{h:120}),20),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||c(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||c(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||(0,d.A)(this.background,12),this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||(0,d.A)(this.background,2),this.nodeBorder=this.nodeBorder||"#999"}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},$=(0,i.K2)(t=>{const e=new F;return e.calculate(t),e},"getThemeVariables"),E=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#f4f4f4",this.primaryColor="#ECECFF",this.secondaryColor=o(this.primaryColor,{h:120}),this.secondaryColor="#ffffde",this.tertiaryColor=o(this.primaryColor,{h:-160}),this.primaryBorderColor=M(this.primaryColor,this.darkMode),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.tertiaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.background="white",this.mainBkg="#ECECFF",this.secondBkg="#ffffde",this.lineColor="#333333",this.border1="#9370DB",this.border2="#aaaa33",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.labelBackground="rgba(232,232,232, 0.8)",this.textColor="#333",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="calculated",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="calculated",this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="calculated",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="calculated",this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor="calculated",this.taskTextOutsideColor=this.taskTextDarkColor,this.taskTextClickableColor="calculated",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBorderColor="calculated",this.critBkgColor="calculated",this.todayLineColor="calculated",this.vertLineColor="calculated",this.sectionBkgColor=(0,s.A)(102,102,255,.49),this.altSectionBkgColor="white",this.sectionBkgColor2="#fff400",this.taskBorderColor="#534fbc",this.taskBkgColor="#8a90dd",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="#534fbc",this.activeTaskBkgColor="#bfc7ff",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.vertLineColor="navy",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.rowOdd="calculated",this.rowEven="calculated",this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222",this.updateColors()}updateColors(){this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,u.A)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,u.A)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,u.A)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,u.A)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||o(this["cScale"+t],{h:180});for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{h:30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{h:30,l:-(7+5*t)});if(this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor,"calculated"!==this.labelTextColor){this.cScaleLabel0=this.cScaleLabel0||c(this.labelTextColor),this.cScaleLabel3=this.cScaleLabel3||c(this.labelTextColor);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.labelTextColor}this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.textColor,this.edgeLabelBackground=this.labelBackground,this.actorBorder=(0,d.A)(this.border1,23),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.signalColor=this.textColor,this.signalTextColor=this.textColor,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.actorLineColor=this.actorBorder,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.rowOdd=this.rowOdd||(0,d.A)(this.primaryColor,75)||"#ffffff",this.rowEven=this.rowEven||(0,d.A)(this.primaryColor,1),this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.nodeBorder,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||o(this.tertiaryColor,{l:-40}),this.pie4=this.pie4||o(this.primaryColor,{l:-10}),this.pie5=this.pie5||o(this.secondaryColor,{l:-30}),this.pie6=this.pie6||o(this.tertiaryColor,{l:-20}),this.pie7=this.pie7||o(this.primaryColor,{h:60,l:-20}),this.pie8=this.pie8||o(this.primaryColor,{h:-60,l:-40}),this.pie9=this.pie9||o(this.primaryColor,{h:120,l:-40}),this.pie10=this.pie10||o(this.primaryColor,{h:60,l:-40}),this.pie11=this.pie11||o(this.primaryColor,{h:-90,l:-40}),this.pie12=this.pie12||o(this.primaryColor,{h:120,l:-30}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#ECECFF,#8493A6,#FFC3A0,#DCDDE1,#B8E994,#D1A36F,#C3CDE6,#FFB6C1,#496078,#F8F3E3"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.labelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||o(this.primaryColor,{h:-30}),this.git4=this.git4||o(this.primaryColor,{h:-60}),this.git5=this.git5||o(this.primaryColor,{h:-90}),this.git6=this.git6||o(this.primaryColor,{h:60}),this.git7=this.git7||o(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,d.A)(this.git0,25),this.git1=(0,d.A)(this.git1,25),this.git2=(0,d.A)(this.git2,25),this.git3=(0,d.A)(this.git3,25),this.git4=(0,d.A)(this.git4,25),this.git5=(0,d.A)(this.git5,25),this.git6=(0,d.A)(this.git6,25),this.git7=(0,d.A)(this.git7,25)):(this.git0=(0,u.A)(this.git0,25),this.git1=(0,u.A)(this.git1,25),this.git2=(0,u.A)(this.git2,25),this.git3=(0,u.A)(this.git3,25),this.git4=(0,u.A)(this.git4,25),this.git5=(0,u.A)(this.git5,25),this.git6=(0,u.A)(this.git6,25),this.git7=(0,u.A)(this.git7,25)),this.gitInv0=this.gitInv0||(0,u.A)(c(this.git0),25),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||c(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||c(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if(Object.keys(this).forEach(t=>{"calculated"===this[t]&&(this[t]=void 0)}),"object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},D=(0,i.K2)(t=>{const e=new E;return e.calculate(t),e},"getThemeVariables"),O=class{static{(0,i.K2)(this,"Theme")}constructor(){this.background="#f4f4f4",this.primaryColor="#cde498",this.secondaryColor="#cdffb2",this.background="white",this.mainBkg="#cde498",this.secondBkg="#cdffb2",this.lineColor="green",this.border1="#13540c",this.border2="#6eaa49",this.arrowheadColor="green",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.tertiaryColor=(0,d.A)("#cde498",10),this.primaryBorderColor=M(this.primaryColor,this.darkMode),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.primaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="#333",this.edgeLabelBackground="#e8e8e8",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="black",this.actorLineColor="calculated",this.signalColor="#333",this.signalTextColor="#333",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="#326932",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="#fff5ad",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="#6eaa49",this.altSectionBkgColor="white",this.sectionBkgColor2="#6eaa49",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="#487e3a",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="black",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="lightgrey",this.doneTaskBkgColor="lightgrey",this.doneTaskBorderColor="grey",this.critBorderColor="#ff8888",this.critBkgColor="red",this.todayLineColor="red",this.vertLineColor="#00BFFF",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.actorBorder=(0,u.A)(this.mainBkg,20),this.actorBkg=this.mainBkg,this.labelBoxBkgColor=this.actorBkg,this.labelTextColor=this.actorTextColor,this.loopTextColor=this.actorTextColor,this.noteBorderColor=this.border2,this.noteTextColor=this.actorTextColor,this.actorLineColor=this.actorBorder,this.cScale0=this.cScale0||this.primaryColor,this.cScale1=this.cScale1||this.secondaryColor,this.cScale2=this.cScale2||this.tertiaryColor,this.cScale3=this.cScale3||o(this.primaryColor,{h:30}),this.cScale4=this.cScale4||o(this.primaryColor,{h:60}),this.cScale5=this.cScale5||o(this.primaryColor,{h:90}),this.cScale6=this.cScale6||o(this.primaryColor,{h:120}),this.cScale7=this.cScale7||o(this.primaryColor,{h:150}),this.cScale8=this.cScale8||o(this.primaryColor,{h:210}),this.cScale9=this.cScale9||o(this.primaryColor,{h:270}),this.cScale10=this.cScale10||o(this.primaryColor,{h:300}),this.cScale11=this.cScale11||o(this.primaryColor,{h:330}),this.cScalePeer1=this.cScalePeer1||(0,u.A)(this.secondaryColor,45),this.cScalePeer2=this.cScalePeer2||(0,u.A)(this.tertiaryColor,40);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScale"+t]=(0,u.A)(this["cScale"+t],10),this["cScalePeer"+t]=this["cScalePeer"+t]||(0,u.A)(this["cScale"+t],25);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||o(this["cScale"+t],{h:180});this.scaleLabelColor="calculated"!==this.scaleLabelColor&&this.scaleLabelColor?this.scaleLabelColor:this.labelTextColor;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{h:30,s:-30,l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{h:30,s:-30,l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.taskBorderColor=this.border1,this.taskTextColor=this.taskTextLightColor,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,75)||"#ffffff",this.rowEven=this.rowEven||(0,d.A)(this.mainBkg,20),this.transitionColor=this.transitionColor||this.lineColor,this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f0f0f0",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.compositeBorder=this.compositeBorder||this.nodeBorder,this.innerEndBackground=this.primaryBorderColor,this.specialStateColor=this.lineColor,this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.transitionColor=this.transitionColor||this.lineColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128}),this.pie1=this.pie1||this.primaryColor,this.pie2=this.pie2||this.secondaryColor,this.pie3=this.pie3||this.tertiaryColor,this.pie4=this.pie4||o(this.primaryColor,{l:-30}),this.pie5=this.pie5||o(this.secondaryColor,{l:-30}),this.pie6=this.pie6||o(this.tertiaryColor,{h:40,l:-40}),this.pie7=this.pie7||o(this.primaryColor,{h:60,l:-10}),this.pie8=this.pie8||o(this.primaryColor,{h:-60,l:-10}),this.pie9=this.pie9||o(this.primaryColor,{h:120,l:0}),this.pie10=this.pie10||o(this.primaryColor,{h:60,l:-50}),this.pie11=this.pie11||o(this.primaryColor,{h:-60,l:-50}),this.pie12=this.pie12||o(this.primaryColor,{h:120,l:-50}),this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.packet={startByteColor:this.primaryTextColor,endByteColor:this.primaryTextColor,labelColor:this.primaryTextColor,titleColor:this.primaryTextColor,blockStrokeColor:this.primaryTextColor,blockFillColor:this.mainBkg},this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#CDE498,#FF6B6B,#A0D2DB,#D7BDE2,#F0F0F0,#FFC3A0,#7FD8BE,#FF9A8B,#FAF3E0,#FFF176"},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=this.git0||this.primaryColor,this.git1=this.git1||this.secondaryColor,this.git2=this.git2||this.tertiaryColor,this.git3=this.git3||o(this.primaryColor,{h:-30}),this.git4=this.git4||o(this.primaryColor,{h:-60}),this.git5=this.git5||o(this.primaryColor,{h:-90}),this.git6=this.git6||o(this.primaryColor,{h:60}),this.git7=this.git7||o(this.primaryColor,{h:120}),this.darkMode?(this.git0=(0,d.A)(this.git0,25),this.git1=(0,d.A)(this.git1,25),this.git2=(0,d.A)(this.git2,25),this.git3=(0,d.A)(this.git3,25),this.git4=(0,d.A)(this.git4,25),this.git5=(0,d.A)(this.git5,25),this.git6=(0,d.A)(this.git6,25),this.git7=(0,d.A)(this.git7,25)):(this.git0=(0,u.A)(this.git0,25),this.git1=(0,u.A)(this.git1,25),this.git2=(0,u.A)(this.git2,25),this.git3=(0,u.A)(this.git3,25),this.git4=(0,u.A)(this.git4,25),this.git5=(0,u.A)(this.git5,25),this.git6=(0,u.A)(this.git6,25),this.git7=(0,u.A)(this.git7,25)),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.gitBranchLabel0=this.gitBranchLabel0||c(this.labelTextColor),this.gitBranchLabel1=this.gitBranchLabel1||this.labelTextColor,this.gitBranchLabel2=this.gitBranchLabel2||this.labelTextColor,this.gitBranchLabel3=this.gitBranchLabel3||c(this.labelTextColor),this.gitBranchLabel4=this.gitBranchLabel4||this.labelTextColor,this.gitBranchLabel5=this.gitBranchLabel5||this.labelTextColor,this.gitBranchLabel6=this.gitBranchLabel6||this.labelTextColor,this.gitBranchLabel7=this.gitBranchLabel7||this.labelTextColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},R=(0,i.K2)(t=>{const e=new O;return e.calculate(t),e},"getThemeVariables"),K=class{static{(0,i.K2)(this,"Theme")}constructor(){this.primaryColor="#eee",this.contrast="#707070",this.secondaryColor=(0,d.A)(this.contrast,55),this.background="#ffffff",this.tertiaryColor=o(this.primaryColor,{h:-160}),this.primaryBorderColor=M(this.primaryColor,this.darkMode),this.secondaryBorderColor=M(this.secondaryColor,this.darkMode),this.tertiaryBorderColor=M(this.tertiaryColor,this.darkMode),this.primaryTextColor=c(this.primaryColor),this.secondaryTextColor=c(this.secondaryColor),this.tertiaryTextColor=c(this.tertiaryColor),this.lineColor=c(this.background),this.textColor=c(this.background),this.mainBkg="#eee",this.secondBkg="calculated",this.lineColor="#666",this.border1="#999",this.border2="calculated",this.note="#ffa",this.text="#333",this.critical="#d42",this.done="#bbb",this.arrowheadColor="#333333",this.fontFamily='"trebuchet ms", verdana, arial, sans-serif',this.fontSize="16px",this.THEME_COLOR_LIMIT=12,this.nodeBkg="calculated",this.nodeBorder="calculated",this.clusterBkg="calculated",this.clusterBorder="calculated",this.defaultLinkColor="calculated",this.titleColor="calculated",this.edgeLabelBackground="white",this.actorBorder="calculated",this.actorBkg="calculated",this.actorTextColor="calculated",this.actorLineColor=this.actorBorder,this.signalColor="calculated",this.signalTextColor="calculated",this.labelBoxBkgColor="calculated",this.labelBoxBorderColor="calculated",this.labelTextColor="calculated",this.loopTextColor="calculated",this.noteBorderColor="calculated",this.noteBkgColor="calculated",this.noteTextColor="calculated",this.activationBorderColor="#666",this.activationBkgColor="#f4f4f4",this.sequenceNumberColor="white",this.sectionBkgColor="calculated",this.altSectionBkgColor="white",this.sectionBkgColor2="calculated",this.excludeBkgColor="#eeeeee",this.taskBorderColor="calculated",this.taskBkgColor="calculated",this.taskTextLightColor="white",this.taskTextColor="calculated",this.taskTextDarkColor="calculated",this.taskTextOutsideColor="calculated",this.taskTextClickableColor="#003163",this.activeTaskBorderColor="calculated",this.activeTaskBkgColor="calculated",this.gridColor="calculated",this.doneTaskBkgColor="calculated",this.doneTaskBorderColor="calculated",this.critBkgColor="calculated",this.critBorderColor="calculated",this.todayLineColor="calculated",this.vertLineColor="calculated",this.personBorder=this.primaryBorderColor,this.personBkg=this.mainBkg,this.archEdgeColor="calculated",this.archEdgeArrowColor="calculated",this.archEdgeWidth="3",this.archGroupBorderColor=this.primaryBorderColor,this.archGroupBorderWidth="2px",this.rowOdd=this.rowOdd||(0,d.A)(this.mainBkg,75)||"#ffffff",this.rowEven=this.rowEven||"#f4f4f4",this.labelColor="black",this.errorBkgColor="#552222",this.errorTextColor="#552222"}updateColors(){this.secondBkg=(0,d.A)(this.contrast,55),this.border2=this.contrast,this.actorBorder=(0,d.A)(this.border1,23),this.actorBkg=this.mainBkg,this.actorTextColor=this.text,this.actorLineColor=this.actorBorder,this.signalColor=this.text,this.signalTextColor=this.text,this.labelBoxBkgColor=this.actorBkg,this.labelBoxBorderColor=this.actorBorder,this.labelTextColor=this.text,this.loopTextColor=this.text,this.noteBorderColor="#999",this.noteBkgColor="#666",this.noteTextColor="#fff",this.cScale0=this.cScale0||"#555",this.cScale1=this.cScale1||"#F4F4F4",this.cScale2=this.cScale2||"#555",this.cScale3=this.cScale3||"#BBB",this.cScale4=this.cScale4||"#777",this.cScale5=this.cScale5||"#999",this.cScale6=this.cScale6||"#DDD",this.cScale7=this.cScale7||"#FFF",this.cScale8=this.cScale8||"#DDD",this.cScale9=this.cScale9||"#BBB",this.cScale10=this.cScale10||"#999",this.cScale11=this.cScale11||"#777";for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleInv"+t]=this["cScaleInv"+t]||c(this["cScale"+t]);for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this.darkMode?this["cScalePeer"+t]=this["cScalePeer"+t]||(0,d.A)(this["cScale"+t],10):this["cScalePeer"+t]=this["cScalePeer"+t]||(0,u.A)(this["cScale"+t],10);this.scaleLabelColor=this.scaleLabelColor||(this.darkMode?"black":this.labelTextColor),this.cScaleLabel0=this.cScaleLabel0||this.cScale1,this.cScaleLabel2=this.cScaleLabel2||this.cScale1;for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["cScaleLabel"+t]=this["cScaleLabel"+t]||this.scaleLabelColor;for(let t=0;t<5;t++)this["surface"+t]=this["surface"+t]||o(this.mainBkg,{l:-(5+5*t)}),this["surfacePeer"+t]=this["surfacePeer"+t]||o(this.mainBkg,{l:-(8+5*t)});this.nodeBkg=this.mainBkg,this.nodeBorder=this.border1,this.clusterBkg=this.secondBkg,this.clusterBorder=this.border2,this.defaultLinkColor=this.lineColor,this.titleColor=this.text,this.sectionBkgColor=(0,d.A)(this.contrast,30),this.sectionBkgColor2=(0,d.A)(this.contrast,30),this.taskBorderColor=(0,u.A)(this.contrast,10),this.taskBkgColor=this.contrast,this.taskTextColor=this.taskTextLightColor,this.taskTextDarkColor=this.text,this.taskTextOutsideColor=this.taskTextDarkColor,this.activeTaskBorderColor=this.taskBorderColor,this.activeTaskBkgColor=this.mainBkg,this.gridColor=(0,d.A)(this.border1,30),this.doneTaskBkgColor=this.done,this.doneTaskBorderColor=this.lineColor,this.critBkgColor=this.critical,this.critBorderColor=(0,u.A)(this.critBkgColor,10),this.todayLineColor=this.critBkgColor,this.vertLineColor=this.critBkgColor,this.archEdgeColor=this.lineColor,this.archEdgeArrowColor=this.lineColor,this.transitionColor=this.transitionColor||"#000",this.transitionLabelColor=this.transitionLabelColor||this.textColor,this.stateLabelColor=this.stateLabelColor||this.stateBkg||this.primaryTextColor,this.stateBkg=this.stateBkg||this.mainBkg,this.labelBackgroundColor=this.labelBackgroundColor||this.stateBkg,this.compositeBackground=this.compositeBackground||this.background||this.tertiaryColor,this.altBackground=this.altBackground||"#f4f4f4",this.compositeTitleBackground=this.compositeTitleBackground||this.mainBkg,this.stateBorder=this.stateBorder||"#000",this.innerEndBackground=this.primaryBorderColor,this.specialStateColor="#222",this.errorBkgColor=this.errorBkgColor||this.tertiaryColor,this.errorTextColor=this.errorTextColor||this.tertiaryTextColor,this.classText=this.primaryTextColor,this.fillType0=this.primaryColor,this.fillType1=this.secondaryColor,this.fillType2=o(this.primaryColor,{h:64}),this.fillType3=o(this.secondaryColor,{h:64}),this.fillType4=o(this.primaryColor,{h:-64}),this.fillType5=o(this.secondaryColor,{h:-64}),this.fillType6=o(this.primaryColor,{h:128}),this.fillType7=o(this.secondaryColor,{h:128});for(let t=0;t<this.THEME_COLOR_LIMIT;t++)this["pie"+t]=this["cScale"+t];this.pie12=this.pie0,this.pieTitleTextSize=this.pieTitleTextSize||"25px",this.pieTitleTextColor=this.pieTitleTextColor||this.taskTextDarkColor,this.pieSectionTextSize=this.pieSectionTextSize||"17px",this.pieSectionTextColor=this.pieSectionTextColor||this.textColor,this.pieLegendTextSize=this.pieLegendTextSize||"17px",this.pieLegendTextColor=this.pieLegendTextColor||this.taskTextDarkColor,this.pieStrokeColor=this.pieStrokeColor||"black",this.pieStrokeWidth=this.pieStrokeWidth||"2px",this.pieOuterStrokeWidth=this.pieOuterStrokeWidth||"2px",this.pieOuterStrokeColor=this.pieOuterStrokeColor||"black",this.pieOpacity=this.pieOpacity||"0.7",this.quadrant1Fill=this.quadrant1Fill||this.primaryColor,this.quadrant2Fill=this.quadrant2Fill||o(this.primaryColor,{r:5,g:5,b:5}),this.quadrant3Fill=this.quadrant3Fill||o(this.primaryColor,{r:10,g:10,b:10}),this.quadrant4Fill=this.quadrant4Fill||o(this.primaryColor,{r:15,g:15,b:15}),this.quadrant1TextFill=this.quadrant1TextFill||this.primaryTextColor,this.quadrant2TextFill=this.quadrant2TextFill||o(this.primaryTextColor,{r:-5,g:-5,b:-5}),this.quadrant3TextFill=this.quadrant3TextFill||o(this.primaryTextColor,{r:-10,g:-10,b:-10}),this.quadrant4TextFill=this.quadrant4TextFill||o(this.primaryTextColor,{r:-15,g:-15,b:-15}),this.quadrantPointFill=this.quadrantPointFill||(0,p.A)(this.quadrant1Fill)?(0,d.A)(this.quadrant1Fill):(0,u.A)(this.quadrant1Fill),this.quadrantPointTextFill=this.quadrantPointTextFill||this.primaryTextColor,this.quadrantXAxisTextFill=this.quadrantXAxisTextFill||this.primaryTextColor,this.quadrantYAxisTextFill=this.quadrantYAxisTextFill||this.primaryTextColor,this.quadrantInternalBorderStrokeFill=this.quadrantInternalBorderStrokeFill||this.primaryBorderColor,this.quadrantExternalBorderStrokeFill=this.quadrantExternalBorderStrokeFill||this.primaryBorderColor,this.quadrantTitleFill=this.quadrantTitleFill||this.primaryTextColor,this.xyChart={backgroundColor:this.xyChart?.backgroundColor||this.background,titleColor:this.xyChart?.titleColor||this.primaryTextColor,xAxisTitleColor:this.xyChart?.xAxisTitleColor||this.primaryTextColor,xAxisLabelColor:this.xyChart?.xAxisLabelColor||this.primaryTextColor,xAxisTickColor:this.xyChart?.xAxisTickColor||this.primaryTextColor,xAxisLineColor:this.xyChart?.xAxisLineColor||this.primaryTextColor,yAxisTitleColor:this.xyChart?.yAxisTitleColor||this.primaryTextColor,yAxisLabelColor:this.xyChart?.yAxisLabelColor||this.primaryTextColor,yAxisTickColor:this.xyChart?.yAxisTickColor||this.primaryTextColor,yAxisLineColor:this.xyChart?.yAxisLineColor||this.primaryTextColor,plotColorPalette:this.xyChart?.plotColorPalette||"#EEE,#6BB8E4,#8ACB88,#C7ACD6,#E8DCC2,#FFB2A8,#FFF380,#7E8D91,#FFD8B1,#FAF3E0"},this.radar={axisColor:this.radar?.axisColor||this.lineColor,axisStrokeWidth:this.radar?.axisStrokeWidth||2,axisLabelFontSize:this.radar?.axisLabelFontSize||12,curveOpacity:this.radar?.curveOpacity||.5,curveStrokeWidth:this.radar?.curveStrokeWidth||2,graticuleColor:this.radar?.graticuleColor||"#DEDEDE",graticuleStrokeWidth:this.radar?.graticuleStrokeWidth||1,graticuleOpacity:this.radar?.graticuleOpacity||.3,legendBoxSize:this.radar?.legendBoxSize||12,legendFontSize:this.radar?.legendFontSize||12},this.requirementBackground=this.requirementBackground||this.primaryColor,this.requirementBorderColor=this.requirementBorderColor||this.primaryBorderColor,this.requirementBorderSize=this.requirementBorderSize||"1",this.requirementTextColor=this.requirementTextColor||this.primaryTextColor,this.relationColor=this.relationColor||this.lineColor,this.relationLabelBackground=this.relationLabelBackground||this.edgeLabelBackground,this.relationLabelColor=this.relationLabelColor||this.actorTextColor,this.git0=(0,u.A)(this.pie1,25)||this.primaryColor,this.git1=this.pie2||this.secondaryColor,this.git2=this.pie3||this.tertiaryColor,this.git3=this.pie4||o(this.primaryColor,{h:-30}),this.git4=this.pie5||o(this.primaryColor,{h:-60}),this.git5=this.pie6||o(this.primaryColor,{h:-90}),this.git6=this.pie7||o(this.primaryColor,{h:60}),this.git7=this.pie8||o(this.primaryColor,{h:120}),this.gitInv0=this.gitInv0||c(this.git0),this.gitInv1=this.gitInv1||c(this.git1),this.gitInv2=this.gitInv2||c(this.git2),this.gitInv3=this.gitInv3||c(this.git3),this.gitInv4=this.gitInv4||c(this.git4),this.gitInv5=this.gitInv5||c(this.git5),this.gitInv6=this.gitInv6||c(this.git6),this.gitInv7=this.gitInv7||c(this.git7),this.branchLabelColor=this.branchLabelColor||this.labelTextColor,this.gitBranchLabel0=this.branchLabelColor,this.gitBranchLabel1="white",this.gitBranchLabel2=this.branchLabelColor,this.gitBranchLabel3="white",this.gitBranchLabel4=this.branchLabelColor,this.gitBranchLabel5=this.branchLabelColor,this.gitBranchLabel6=this.branchLabelColor,this.gitBranchLabel7=this.branchLabelColor,this.tagLabelColor=this.tagLabelColor||this.primaryTextColor,this.tagLabelBackground=this.tagLabelBackground||this.primaryColor,this.tagLabelBorder=this.tagBorder||this.primaryBorderColor,this.tagLabelFontSize=this.tagLabelFontSize||"10px",this.commitLabelColor=this.commitLabelColor||this.secondaryTextColor,this.commitLabelBackground=this.commitLabelBackground||this.secondaryColor,this.commitLabelFontSize=this.commitLabelFontSize||"10px",this.attributeBackgroundColorOdd=this.attributeBackgroundColorOdd||T,this.attributeBackgroundColorEven=this.attributeBackgroundColorEven||A}calculate(t){if("object"!=typeof t)return void this.updateColors();const e=Object.keys(t);e.forEach(e=>{this[e]=t[e]}),this.updateColors(),e.forEach(e=>{this[e]=t[e]})}},I={base:{getThemeVariables:L},dark:{getThemeVariables:$},default:{getThemeVariables:D},forest:{getThemeVariables:R},neutral:{getThemeVariables:(0,i.K2)(t=>{const e=new K;return e.calculate(t),e},"getThemeVariables")}},N={flowchart:{useMaxWidth:!0,titleTopMargin:25,subGraphTitleMargin:{top:0,bottom:0},diagramPadding:8,htmlLabels:!0,nodeSpacing:50,rankSpacing:50,curve:"basis",padding:15,defaultRenderer:"dagre-wrapper",wrappingWidth:200,inheritDir:!1},sequence:{useMaxWidth:!0,hideUnusedParticipants:!1,activationWidth:10,diagramMarginX:50,diagramMarginY:10,actorMargin:50,width:150,height:65,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",mirrorActors:!0,forceMenus:!1,bottomMarginAdj:1,rightAngles:!1,showSequenceNumbers:!1,actorFontSize:14,actorFontFamily:'"Open Sans", sans-serif',actorFontWeight:400,noteFontSize:14,noteFontFamily:'"trebuchet ms", verdana, arial, sans-serif',noteFontWeight:400,noteAlign:"center",messageFontSize:16,messageFontFamily:'"trebuchet ms", verdana, arial, sans-serif',messageFontWeight:400,wrap:!1,wrapPadding:10,labelBoxWidth:50,labelBoxHeight:20},gantt:{useMaxWidth:!0,titleTopMargin:25,barHeight:20,barGap:4,topPadding:50,rightPadding:75,leftPadding:75,gridLineStartPadding:35,fontSize:11,sectionFontSize:11,numberSectionStyles:4,axisFormat:"%Y-%m-%d",topAxis:!1,displayMode:"",weekday:"sunday"},journey:{useMaxWidth:!0,diagramMarginX:50,diagramMarginY:10,leftMargin:150,maxLabelWidth:360,width:150,height:50,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",bottomMarginAdj:1,rightAngles:!1,taskFontSize:14,taskFontFamily:'"Open Sans", sans-serif',taskMargin:50,activationWidth:10,textPlacement:"fo",actorColours:["#8FBC8F","#7CFC00","#00FFFF","#20B2AA","#B0E0E6","#FFFFE0"],sectionFills:["#191970","#8B008B","#4B0082","#2F4F4F","#800000","#8B4513","#00008B"],sectionColours:["#fff"],titleColor:"",titleFontFamily:'"trebuchet ms", verdana, arial, sans-serif',titleFontSize:"4ex"},class:{useMaxWidth:!0,titleTopMargin:25,arrowMarkerAbsolute:!1,dividerMargin:10,padding:5,textHeight:10,defaultRenderer:"dagre-wrapper",htmlLabels:!1,hideEmptyMembersBox:!1},state:{useMaxWidth:!0,titleTopMargin:25,dividerMargin:10,sizeUnit:5,padding:8,textHeight:10,titleShift:-15,noteMargin:10,forkWidth:70,forkHeight:7,miniPadding:2,fontSizeFactor:5.02,fontSize:24,labelHeight:16,edgeLengthFactor:"20",compositTitleSize:35,radius:5,defaultRenderer:"dagre-wrapper"},er:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:20,layoutDirection:"TB",minEntityWidth:100,minEntityHeight:75,entityPadding:15,nodeSpacing:140,rankSpacing:80,stroke:"gray",fill:"honeydew",fontSize:12},pie:{useMaxWidth:!0,textPosition:.75},quadrantChart:{useMaxWidth:!0,chartWidth:500,chartHeight:500,titleFontSize:20,titlePadding:10,quadrantPadding:5,xAxisLabelPadding:5,yAxisLabelPadding:5,xAxisLabelFontSize:16,yAxisLabelFontSize:16,quadrantLabelFontSize:16,quadrantTextTopPadding:5,pointTextPadding:5,pointLabelFontSize:12,pointRadius:5,xAxisPosition:"top",yAxisPosition:"left",quadrantInternalBorderStrokeWidth:1,quadrantExternalBorderStrokeWidth:2},xyChart:{useMaxWidth:!0,width:700,height:500,titleFontSize:20,titlePadding:10,showDataLabel:!1,showTitle:!0,xAxis:{$ref:"#/$defs/XYChartAxisConfig",showLabel:!0,labelFontSize:14,labelPadding:5,showTitle:!0,titleFontSize:16,titlePadding:5,showTick:!0,tickLength:5,tickWidth:2,showAxisLine:!0,axisLineWidth:2},yAxis:{$ref:"#/$defs/XYChartAxisConfig",showLabel:!0,labelFontSize:14,labelPadding:5,showTitle:!0,titleFontSize:16,titlePadding:5,showTick:!0,tickLength:5,tickWidth:2,showAxisLine:!0,axisLineWidth:2},chartOrientation:"vertical",plotReservedSpacePercent:50},requirement:{useMaxWidth:!0,rect_fill:"#f9f9f9",text_color:"#333",rect_border_size:"0.5px",rect_border_color:"#bbb",rect_min_width:200,rect_min_height:200,fontSize:14,rect_padding:10,line_height:20},mindmap:{useMaxWidth:!0,padding:10,maxNodeWidth:200,layoutAlgorithm:"cose-bilkent"},kanban:{useMaxWidth:!0,padding:8,sectionWidth:200,ticketBaseUrl:""},timeline:{useMaxWidth:!0,diagramMarginX:50,diagramMarginY:10,leftMargin:150,width:150,height:50,boxMargin:10,boxTextMargin:5,noteMargin:10,messageMargin:35,messageAlign:"center",bottomMarginAdj:1,rightAngles:!1,taskFontSize:14,taskFontFamily:'"Open Sans", sans-serif',taskMargin:50,activationWidth:10,textPlacement:"fo",actorColours:["#8FBC8F","#7CFC00","#00FFFF","#20B2AA","#B0E0E6","#FFFFE0"],sectionFills:["#191970","#8B008B","#4B0082","#2F4F4F","#800000","#8B4513","#00008B"],sectionColours:["#fff"],disableMulticolor:!1},gitGraph:{useMaxWidth:!0,titleTopMargin:25,diagramPadding:8,nodeLabel:{width:75,height:100,x:-25,y:0},mainBranchName:"main",mainBranchOrder:0,showCommitLabel:!0,showBranches:!0,rotateCommitLabel:!0,parallelCommits:!1,arrowMarkerAbsolute:!1},c4:{useMaxWidth:!0,diagramMarginX:50,diagramMarginY:10,c4ShapeMargin:50,c4ShapePadding:20,width:216,height:60,boxMargin:10,c4ShapeInRow:4,nextLinePaddingX:0,c4BoundaryInRow:2,personFontSize:14,personFontFamily:'"Open Sans", sans-serif',personFontWeight:"normal",external_personFontSize:14,external_personFontFamily:'"Open Sans", sans-serif',external_personFontWeight:"normal",systemFontSize:14,systemFontFamily:'"Open Sans", sans-serif',systemFontWeight:"normal",external_systemFontSize:14,external_systemFontFamily:'"Open Sans", sans-serif',external_systemFontWeight:"normal",system_dbFontSize:14,system_dbFontFamily:'"Open Sans", sans-serif',system_dbFontWeight:"normal",external_system_dbFontSize:14,external_system_dbFontFamily:'"Open Sans", sans-serif',external_system_dbFontWeight:"normal",system_queueFontSize:14,system_queueFontFamily:'"Open Sans", sans-serif',system_queueFontWeight:"normal",external_system_queueFontSize:14,external_system_queueFontFamily:'"Open Sans", sans-serif',external_system_queueFontWeight:"normal",boundaryFontSize:14,boundaryFontFamily:'"Open Sans", sans-serif',boundaryFontWeight:"normal",messageFontSize:12,messageFontFamily:'"Open Sans", sans-serif',messageFontWeight:"normal",containerFontSize:14,containerFontFamily:'"Open Sans", sans-serif',containerFontWeight:"normal",external_containerFontSize:14,external_containerFontFamily:'"Open Sans", sans-serif',external_containerFontWeight:"normal",container_dbFontSize:14,container_dbFontFamily:'"Open Sans", sans-serif',container_dbFontWeight:"normal",external_container_dbFontSize:14,external_container_dbFontFamily:'"Open Sans", sans-serif',external_container_dbFontWeight:"normal",container_queueFontSize:14,container_queueFontFamily:'"Open Sans", sans-serif',container_queueFontWeight:"normal",external_container_queueFontSize:14,external_container_queueFontFamily:'"Open Sans", sans-serif',external_container_queueFontWeight:"normal",componentFontSize:14,componentFontFamily:'"Open Sans", sans-serif',componentFontWeight:"normal",external_componentFontSize:14,external_componentFontFamily:'"Open Sans", sans-serif',external_componentFontWeight:"normal",component_dbFontSize:14,component_dbFontFamily:'"Open Sans", sans-serif',component_dbFontWeight:"normal",external_component_dbFontSize:14,external_component_dbFontFamily:'"Open Sans", sans-serif',external_component_dbFontWeight:"normal",component_queueFontSize:14,component_queueFontFamily:'"Open Sans", sans-serif',component_queueFontWeight:"normal",external_component_queueFontSize:14,external_component_queueFontFamily:'"Open Sans", sans-serif',external_component_queueFontWeight:"normal",wrap:!0,wrapPadding:10,person_bg_color:"#08427B",person_border_color:"#073B6F",external_person_bg_color:"#686868",external_person_border_color:"#8A8A8A",system_bg_color:"#1168BD",system_border_color:"#3C7FC0",system_db_bg_color:"#1168BD",system_db_border_color:"#3C7FC0",system_queue_bg_color:"#1168BD",system_queue_border_color:"#3C7FC0",external_system_bg_color:"#999999",external_system_border_color:"#8A8A8A",external_system_db_bg_color:"#999999",external_system_db_border_color:"#8A8A8A",external_system_queue_bg_color:"#999999",external_system_queue_border_color:"#8A8A8A",container_bg_color:"#438DD5",container_border_color:"#3C7FC0",container_db_bg_color:"#438DD5",container_db_border_color:"#3C7FC0",container_queue_bg_color:"#438DD5",container_queue_border_color:"#3C7FC0",external_container_bg_color:"#B3B3B3",external_container_border_color:"#A6A6A6",external_container_db_bg_color:"#B3B3B3",external_container_db_border_color:"#A6A6A6",external_container_queue_bg_color:"#B3B3B3",external_container_queue_border_color:"#A6A6A6",component_bg_color:"#85BBF0",component_border_color:"#78A8D8",component_db_bg_color:"#85BBF0",component_db_border_color:"#78A8D8",component_queue_bg_color:"#85BBF0",component_queue_border_color:"#78A8D8",external_component_bg_color:"#CCCCCC",external_component_border_color:"#BFBFBF",external_component_db_bg_color:"#CCCCCC",external_component_db_border_color:"#BFBFBF",external_component_queue_bg_color:"#CCCCCC",external_component_queue_border_color:"#BFBFBF"},sankey:{useMaxWidth:!0,width:600,height:400,linkColor:"gradient",nodeAlignment:"justify",showValues:!0,prefix:"",suffix:""},block:{useMaxWidth:!0,padding:8},packet:{useMaxWidth:!0,rowHeight:32,bitWidth:32,bitsPerRow:32,showBits:!0,paddingX:5,paddingY:5},architecture:{useMaxWidth:!0,padding:40,iconSize:80,fontSize:16},radar:{useMaxWidth:!0,width:600,height:600,marginTop:50,marginRight:50,marginBottom:50,marginLeft:50,axisScaleFactor:1,axisLabelFactor:1.05,curveTension:.17},theme:"default",look:"classic",handDrawnSeed:0,layout:"dagre",maxTextSize:5e4,maxEdges:500,darkMode:!1,fontFamily:'"trebuchet ms", verdana, arial, sans-serif;',logLevel:5,securityLevel:"strict",startOnLoad:!0,arrowMarkerAbsolute:!1,secure:["secure","securityLevel","startOnLoad","maxTextSize","suppressErrorRendering","maxEdges"],legacyMathML:!1,forceLegacyMathML:!1,deterministicIds:!1,fontSize:16,markdownAutoWrap:!0,suppressErrorRendering:!1},z={...N,deterministicIDSeed:void 0,elk:{mergeEdges:!1,nodePlacementStrategy:"BRANDES_KOEPF",forceNodeModelOrder:!1,considerModelOrder:"NODES_AND_EDGES"},themeCSS:void 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t=null;switch(n.type){case"path":t={d:this.opsToPath(n),stroke:r.stroke,strokeWidth:r.strokeWidth,fill:J};break;case"fillPath":t={d:this.opsToPath(n),stroke:J,strokeWidth:0,fill:r.fill||J};break;case"fillSketch":t=this.fillSketch(n,r)}t&&i.push(t)}return i}fillSketch(t,e){let r=e.fillWeight;return r<0&&(r=e.strokeWidth/2),{d:this.opsToPath(t),stroke:e.fill||J,strokeWidth:r,fill:J}}_mergedShape(t){return t.filter((t,e)=>0===e||"move"!==t.op)}}class et{constructor(t,e){this.canvas=t,this.ctx=this.canvas.getContext("2d"),this.gen=new tt(e)}draw(t){const e=t.sets||[],r=t.options||this.getDefaultOptions(),i=this.ctx,n=t.options.fixedDecimalPlaceDigits;for(const a of 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rt="http://www.w3.org/2000/svg";class it{constructor(t,e){this.svg=t,this.gen=new tt(e)}draw(t){const e=t.sets||[],r=t.options||this.getDefaultOptions(),i=this.svg.ownerDocument||window.document,n=i.createElementNS(rt,"g"),a=t.options.fixedDecimalPlaceDigits;for(const o of e){let e=null;switch(o.type){case"path":e=i.createElementNS(rt,"path"),e.setAttribute("d",this.opsToPath(o,a)),e.setAttribute("stroke",r.stroke),e.setAttribute("stroke-width",r.strokeWidth+""),e.setAttribute("fill","none"),r.strokeLineDash&&e.setAttribute("stroke-dasharray",r.strokeLineDash.join(" ").trim()),r.strokeLineDashOffset&&e.setAttribute("stroke-dashoffset",`${r.strokeLineDashOffset}`);break;case"fillPath":e=i.createElementNS(rt,"path"),e.setAttribute("d",this.opsToPath(o,a)),e.setAttribute("stroke","none"),e.setAttribute("stroke-width","0"),e.setAttribute("fill",r.fill||""),"curve"!==t.shape&&"polygon"!==t.shape||e.setAttribute("fill-rule","evenodd");break;case"fillSketch":e=this.fillSketch(i,o,r)}e&&n.appendChild(e)}return n}fillSketch(t,e,r){let i=r.fillWeight;i<0&&(i=r.strokeWidth/2);const n=t.createElementNS(rt,"path");return n.setAttribute("d",this.opsToPath(e,r.fixedDecimalPlaceDigits)),n.setAttribute("stroke",r.fill||""),n.setAttribute("stroke-width",i+""),n.setAttribute("fill","none"),r.fillLineDash&&n.setAttribute("stroke-dasharray",r.fillLineDash.join(" ").trim()),r.fillLineDashOffset&&n.setAttribute("stroke-dashoffset",`${r.fillLineDashOffset}`),n}get generator(){return this.gen}getDefaultOptions(){return this.gen.defaultOptions}opsToPath(t,e){return this.gen.opsToPath(t,e)}line(t,e,r,i,n){const a=this.gen.line(t,e,r,i,n);return this.draw(a)}rectangle(t,e,r,i,n){const a=this.gen.rectangle(t,e,r,i,n);return this.draw(a)}ellipse(t,e,r,i,n){const a=this.gen.ellipse(t,e,r,i,n);return this.draw(a)}circle(t,e,r,i){const n=this.gen.circle(t,e,r,i);return this.draw(n)}linearPath(t,e){const r=this.gen.linearPath(t,e);return this.draw(r)}polygon(t,e){const r=this.gen.polygon(t,e);return this.draw(r)}arc(t,e,r,i,n,a,o=!1,s){const l=this.gen.arc(t,e,r,i,n,a,o,s);return this.draw(l)}curve(t,e){const r=this.gen.curve(t,e);return this.draw(r)}path(t,e){const r=this.gen.path(t,e);return this.draw(r)}}var nt={canvas:(t,e)=>new et(t,e),svg:(t,e)=>new it(t,e),generator:t=>new tt(t),newSeed:()=>tt.newSeed()}},9912:(t,e,r)=>{"use strict";r.d(e,{A:()=>l});var i=r(1917);const n=function(){return!1};var a="object"==typeof exports&&exports&&!exports.nodeType&&exports,o=a&&"object"==typeof 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\ No newline at end of file
diff --git a/assets/js/2279.44341cb1.js.LICENSE.txt b/assets/js/2279.632a870f.js.LICENSE.txt
similarity index 100%
rename from assets/js/2279.44341cb1.js.LICENSE.txt
rename to assets/js/2279.632a870f.js.LICENSE.txt
diff --git a/assets/js/22dd74f7.5e930b31.js b/assets/js/22dd74f7.5e930b31.js
new file mode 100644
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It is connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Input"})," port.\nWhen you use the OpenRAG ",(0,o.jsx)(a.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Chat"}),", your chat messages are passed to the ",(0,o.jsx)(n.strong,{children:"Chat Input"})," component, which then sends them to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component for processing."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-agents",children:[(0,o.jsx)(n.strong,{children:"Agent"})," component"]}),": This component orchestrates the entire flow by processing chat messages, searching the knowledge base, and organizing the retrieved information into a cohesive response.\nThe agent's general behavior is defined by the prompt in the ",(0,o.jsx)(n.strong,{children:"Agent Instructions"})," field and the model connected to the ",(0,o.jsx)(n.strong,{children:"Language Model"})," port.\nOne or more specialized tools can be attached to the ",(0,o.jsx)(n.strong,{children:"Tools"})," port to extend the agent's capabilities. In this case, there are two tools: ",(0,o.jsx)(n.strong,{children:"MCP Tools"})," and ",(0,o.jsx)(n.strong,{children:"OpenSearch"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"Agent"})," component is the star of this flow because it powers decision making, tool calling, and an LLM-driven conversational experience."]}),"\n",(0,o.jsxs)(s,{children:[(0,o.jsx)("summary",{children:"How do agents work?"}),(0,o.jsx)(n.p,{children:"Agents extend Large Language Models (LLMs) by integrating tools, which are functions that provide additional context and enable autonomous task execution. These integrations make agents more specialized and powerful than standalone LLMs."}),(0,o.jsx)(n.p,{children:"Whereas an LLM might generate acceptable, inert responses to general queries and tasks, an agent can leverage the integrated context and tools to provide more relevant responses and even take action. For example, you might create an agent that can access your company's documentation, repositories, and other resources to help your team with tasks that require knowledge of your specific products, customers, and code."}),(0,o.jsx)(n.p,{children:"Agents use LLMs as a reasoning engine to process input, determine which actions to take to address the query, and then generate a response. The response could be a typical text-based LLM response, or it could involve an action, like editing a file, running a script, or calling an external API."}),(0,o.jsx)(n.p,{children:"In an agentic context, tools are functions that the agent can run to perform tasks or access external resources. A function is wrapped as a Tool object with a common interface that the agent understands. Agents become aware of tools through tool registration, which is when the agent is provided a list of available tools typically at agent initialization. The Tool object's description tells the agent what the tool can do so that it can decide whether the tool is appropriate for a given request."})]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-models",children:[(0,o.jsx)(n.strong,{children:"Language Model"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Language Model"})," port, this component provides the base language model driver for the agent. The agent cannot function without a model because the model is used for general knowledge, reasoning, and generating responses."]}),"\n",(0,o.jsx)(n.p,{children:"Different models can change the style and content of the agent's responses, and some models might be better suited for certain tasks than others. If the agent doesn't seem to be handling requests well, try changing the model to see how the responses change. For example, fast models might be good for simple queries, but they might not have the depth of reasoning for complex, multi-faceted queries."}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/mcp-client",children:[(0,o.jsx)(n.strong,{children:"MCP Tools"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Tools"})," port, this component can be used to ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-server",children:"access any MCP server"})," and the MCP tools provided by that server. In this case, your OpenRAG Langflow instance's ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows#projects",children:(0,o.jsx)(n.strong,{children:"Starter Project"})})," is the MCP server, and the ",(0,o.jsxs)(n.a,{href:"/ingestion#url-flow",children:[(0,o.jsx)(n.strong,{children:"OpenSearch URL Ingestion"})," flow"]})," is the MCP tool.\nThis flow fetches content from URLs, and then stores the content in your OpenRAG OpenSearch knowledge base. By serving this flow as an MCP tool, the agent can selectively call this tool if a URL is detected in the chat input."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-elastic#opensearch",children:[(0,o.jsx)(n.strong,{children:"OpenSearch"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Tools"})," port, this component lets the agent search your ",(0,o.jsx)(n.a,{href:"/knowledge",children:"OpenRAG OpenSearch knowledge base"}),". The agent might not use this database for every request; the agent uses this connection only if it decides that documents in your knowledge base are relevant to your query."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-embedding-models",children:[(0,o.jsx)(n.strong,{children:"Embedding Model"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"OpenSearch"})," component's ",(0,o.jsx)(n.strong,{children:"Embedding"})," port, this component generates embeddings from chat input that are used in ",(0,o.jsx)(n.a,{href:"https://www.ibm.com/think/topics/vector-search",children:"similarity search"})," to find content in your knowledge base that is relevant to the chat input. The agent uses this information to generate context-aware responses that are specialized for your data."]}),"\n",(0,o.jsxs)(n.p,{children:["It is critical that the embedding model used here matches the embedding model used when you ",(0,o.jsx)(n.a,{href:"/ingestion",children:"upload documents to your knowledge base"}),". Mismatched models and dimensions can degrade the quality of similarity search results causing the agent to retrieve irrelevant documents from your knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/text-input-and-output#text-input",children:[(0,o.jsx)(n.strong,{children:"Text Input"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"OpenSearch"})," component's ",(0,o.jsx)(n.strong,{children:"Search Filters"})," port, this component is populated with a Langflow global variable named ",(0,o.jsx)(n.code,{children:"OPENRAG-QUERY-FILTER"}),". If a global or chat-level ",(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"knowledge filter"})," is set, then the variable contains the filter expression, which limits the documents that the agent can access in the knowledge base.\nIf no knowledge filter is set, then the ",(0,o.jsx)(n.code,{children:"OPENRAG-QUERY-FILTER"})," variable is empty, and the agent can access all documents in the knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/chat-input-and-output#chat-output",children:[(0,o.jsx)(n.strong,{children:"Chat Output"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Output"})," port, this component returns the agent's generated response as a chat message."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"nudges",children:"Nudges"}),"\n",(0,o.jsxs)(n.p,{children:["When you use the OpenRAG ",(0,o.jsx)(a.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Chat"}),", the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Nudges"})," flow runs in the background to pull additional context from your knowledge base and chat history."]}),"\n",(0,o.jsx)(n.p,{children:"Nudges appear as prompts in the chat, and they are based on the contents of your OpenRAG OpenSearch knowledge base.\nClick a nudge to accept it and start a chat based on the nudge."}),"\n",(0,o.jsxs)(n.p,{children:["Like OpenRAG's other built-in flows, you can ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"inspect the flow in Langflow"}),", and you can customize it if you want to change the nudge behavior.\nHowever, this flow is specifically designed to work with the OpenRAG chat and knowledge base.\nMajor changes to this flow might break the nudge functionality or produce irrelevant nudges."]}),"\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"Nudges"})," flow consists of ",(0,o.jsx)(n.strong,{children:"Embedding model"}),", ",(0,o.jsx)(n.strong,{children:"Language model"}),", ",(0,o.jsx)(n.strong,{children:"OpenSearch"}),", *",(0,o.jsx)(n.em,{children:"Input/Output"}),", and other components that browse your knowledge base, identify key themes and possible insights, and then produce prompts based on the findings."]}),"\n",(0,o.jsxs)(n.p,{children:["For example, if your knowledge base contains documents about cybersecurity, possible nudges might include ",(0,o.jsx)(n.code,{children:"Explain zero trust architecture principles"})," or ",(0,o.jsx)(n.code,{children:"How to identify a social engineering attack"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"upload-documents-to-the-chat",children:"Upload documents to the chat"}),"\n",(0,o.jsx)(l.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"inspect-tool-calls-and-knowledge",children:"Inspect tool calls and knowledge"}),"\n",(0,o.jsxs)(n.p,{children:["During the chat, you'll see information about the agent's process. For more detail, you can inspect individual tool calls. This is helpful for troubleshooting because it shows you how the agent used particular tools. For example, click ",(0,o.jsx)(a.A,{name:"Gear","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Function Call: search_documents (tool_call)"})," to view the log of tool calls made by the agent to the ",(0,o.jsx)(n.strong,{children:"OpenSearch"})," component."]}),"\n",(0,o.jsxs)(n.p,{children:["If documents in your knowledge base seem to be missing or interpreted incorrectly, see ",(0,o.jsx)(n.a,{href:"/ingestion#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["If tool calls and knowledge appear normal, but the agent's responses seem off-topic or incorrect, consider changing the agent's language model or prompt, as explained in ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"integrate-openrag-chat-into-an-application",children:"Integrate OpenRAG chat into an application"}),"\n",(0,o.jsxs)(n.p,{children:["You can integrate OpenRAG flows into your applications using the ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Langflow API"}),".\nTo simplify this integration, you can get pre-configured code snippets directly from the embedded Langflow visual editor."]}),"\n",(0,o.jsxs)(n.p,{children:["The following example demonstrates how to generate and use code snippets for the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow:"]}),"\n",(0,o.jsx)(i.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"troubleshoot-chat",children:"Troubleshoot chat"}),"\n",(0,o.jsxs)(n.p,{children:["The following issues can occur when using the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"})," feature:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["Documents seem to be missing or interpreted incorrectly: See ",(0,o.jsx)(n.a,{href:"/ingestion#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Service is suddenly unavailable when it was working previously: If there is no other obvious cause, such as the service or container VM being stopped or disconnected, there might be a problem with the flow configuration. Use the ",(0,o.jsxs)(n.a,{href:"/agents#revert-a-built-in-flow-to-its-original-configuration",children:[(0,o.jsx)(n.strong,{children:"Restore flow"})," option"]})," to revert the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow to its original configuration.\nIf you made customizations to the flow, make sure to ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows-import",children:"export your flow"})," before restoring the flow."]}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(p,{...e})}):p(e)}},3982:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png"},7224:(e,n,t)=>{t.d(n,{Ay:()=>h,RM:()=>l});var s=t(4848),o=t(8453),r=t(9179),a=t(1470),i=t(9365);const l=[];function c(e){const n={a:"a",code:"code",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,o.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Open the ",(0,s.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow in the Langflow visual editor: Click ",(0,s.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Settings"}),", click ",(0,s.jsx)(n.strong,{children:"Edit in Langflow"}),", and then click ",(0,s.jsx)(n.strong,{children:"Proceed"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Optional: If you don't want to use the Langflow API key that is generated automatically when you install OpenRAG, you can create a ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication",children:"Langflow API key"}),".\nThis key doesn't grant access to OpenRAG; it is only for authenticating with the Langflow API."]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["In the Langflow visual editor, click your user icon in the header, and then select ",(0,s.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Click ",(0,s.jsx)(n.strong,{children:"Langflow API Keys"}),", and then click ",(0,s.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Add New"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Name your key, and then click ",(0,s.jsx)(n.strong,{children:"Create API Key"}),"."]}),"\n",(0,s.jsx)(n.li,{children:"Copy the API key and store it securely."}),"\n",(0,s.jsxs)(n.li,{children:["Exit the Langflow ",(0,s.jsx)(n.strong,{children:"Settings"})," page to return to the visual editor."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Share"}),", and then select ",(0,s.jsx)(n.strong,{children:"API access"})," to get pregenerated code snippets that call the Langflow API and run the flow."]}),"\n",(0,s.jsxs)(n.p,{children:["These code snippets construct API requests with your Langflow server URL (",(0,s.jsx)(n.code,{children:"LANGFLOW_SERVER_ADDRESS"}),"), the flow to run (",(0,s.jsx)(n.code,{children:"FLOW_ID"}),"), required headers (",(0,s.jsx)(n.code,{children:"LANGFLOW_API_KEY"}),", ",(0,s.jsx)(n.code,{children:"Content-Type"}),"), and a payload containing the required inputs to run the flow, including a default chat input message."]}),"\n",(0,s.jsx)(n.p,{children:"In production, you would modify the inputs to suit your application logic. For example, you could replace the default chat input message with dynamic user input."}),"\n",(0,s.jsxs)(a.A,{children:[(0,s.jsx)(i.A,{value:"python",label:"Python",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'import requests\nimport os\nimport uuid\n\napi_key = \'LANGFLOW_API_KEY\'\nurl = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"  # The complete API endpoint URL for this flow\n\n# Request payload configuration\npayload = {\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n}\npayload["session_id"] = str(uuid.uuid4())\n\nheaders = {"x-api-key": api_key}\n\ntry:\n    # Send API request\n    response = requests.request("POST", url, json=payload, headers=headers)\n    response.raise_for_status()  # Raise exception for bad status codes\n\n    # Print response\n    print(response.text)\n\nexcept requests.exceptions.RequestException as e:\n    print(f"Error making API request: {e}")\nexcept ValueError as e:\n    print(f"Error parsing response: {e}")\n'})})}),(0,s.jsx)(i.A,{value:"typescript",label:"TypeScript",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-typescript",children:'const crypto = require(\'crypto\');\nconst apiKey = \'LANGFLOW_API_KEY\';\nconst payload = {\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n};\npayload.session_id = crypto.randomUUID();\n\nconst options = {\n    method: \'POST\',\n    headers: {\n        \'Content-Type\': \'application/json\',\n        "x-api-key": apiKey\n    },\n    body: JSON.stringify(payload)\n};\n\nfetch(\'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID\', options)\n    .then(response => response.json())\n    .then(response => console.warn(response))\n    .catch(err => console.error(err));\n'})})}),(0,s.jsx)(i.A,{value:"curl",label:"curl",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:'curl --request POST \\\n  --url \'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false\' \\\n  --header \'Content-Type: application/json\' \\\n  --header "x-api-key: LANGFLOW_API_KEY" \\\n  --data \'{\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n  }\'\n'})})})]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Copy your preferred snippet, and then run it:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Python"}),": Paste the snippet into a ",(0,s.jsx)(n.code,{children:".py"})," file, save it, and then run it with ",(0,s.jsx)(n.code,{children:"python filename.py"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"TypeScript"}),": Paste the snippet into a ",(0,s.jsx)(n.code,{children:".ts"})," file, save it, and then run it with ",(0,s.jsx)(n.code,{children:"ts-node filename.ts"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"curl"}),": Paste and run snippet directly in your terminal."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"If the request is successful, the response includes many details about the flow run, including the session ID, inputs, outputs, components, durations, and more."}),"\n",(0,s.jsxs)(n.p,{children:["In production, you won't pass the raw response to the user in its entirety.\nInstead, you extract and reformat relevant fields for different use cases, as demonstrated in the ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/get-started-quickstart#extract-data-from-the-response",children:"Langflow quickstart"}),".\nFor example, you could pass the chat output text to a front-end user-facing application, and store specific fields in logs and backend data stores for monitoring, chat history, or analytics.\nYou could also pass the output from one flow as input to another flow."]})]})}function h(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},8401:(e,n,t)=>{t.d(n,{Ay:()=>l,RM:()=>a});var s=t(4848),o=t(8453),r=t(9179);const a=[];function i(e){const n={p:"p",strong:"strong",...(0,o.R)(),...e.components};return(0,s.jsxs)(n.p,{children:["When using the OpenRAG ",(0,s.jsx)(n.strong,{children:"Chat"}),", click ",(0,s.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Add"})," in the chat input field to upload a file to the current chat session.\nFiles added this way are processed and made available to the agent for the current conversation only.\nThese files aren't stored in the knowledge base permanently."]})}function l(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},9179:(e,n,t)=>{t.d(n,{A:()=>r});t(6540);var s=t(7856),o=t(4848);function r({name:e,...n}){const t=s[e];return t?(0,o.jsx)(t,{...n}):null}},9365:(e,n,t)=>{t.d(n,{A:()=>a});t(6540);var s=t(4164);const o={tabItem:"tabItem_Ymn6"};var r=t(4848);function a({children:e,hidden:n,className:t}){return(0,r.jsx)("div",{role:"tabpanel",className:(0,s.A)(o.tabItem,t),hidden:n,children:e})}}}]);
\ No newline at end of file
diff --git a/assets/js/27b4a875.e4ca90dd.js b/assets/js/27b4a875.e4ca90dd.js
deleted file mode 100644
index 7f057e7c..00000000
--- a/assets/js/27b4a875.e4ca90dd.js
+++ /dev/null
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queries.","source":"@site/docs/core-components/chat.mdx","sourceDirName":"core-components","slug":"/chat","permalink":"/chat","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/core-components/chat.mdx","tags":[],"version":"current","frontMatter":{"title":"Chat in OpenRAG","slug":"/chat"},"sidebar":"tutorialSidebar","previous":{"title":"Filter knowledge","permalink":"/knowledge-filters"},"next":{"title":"Environment variables","permalink":"/reference/configuration"}}');var o=t(4848),r=t(8453),a=t(9179),i=(t(1470),t(9365),t(7224)),l=t(8401);const c={title:"Chat in OpenRAG",slug:"/chat"},h=void 0,d={},u=[{value:"OpenRAG OpenSearch Agent flow",id:"flow",level:2},{value:"Nudges",id:"nudges",level:2},{value:"Upload documents to the chat",id:"upload-documents-to-the-chat",level:2},...l.RM,{value:"Inspect tool calls and knowledge",id:"inspect-tool-calls-and-knowledge",level:2},{value:"Integrate OpenRAG chat into an application",id:"integrate-openrag-chat-into-an-application",level:2},...i.RM,{value:"Troubleshoot chat",id:"troubleshoot-chat",level:2}];function p(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",img:"img",li:"li",p:"p",strong:"strong",ul:"ul",...(0,r.R)(),...e.components},{Details:s}=n;return s||function(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,o.jsxs)(o.Fragment,{children:[(0,o.jsxs)(n.p,{children:["After you ",(0,o.jsx)(n.a,{href:"/ingestion",children:"upload documents to your knowledge base"}),", you can use the OpenRAG ",(0,o.jsx)(a.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Chat"})," feature to interact with your knowledge through natural language queries."]}),"\n",(0,o.jsxs)(n.p,{children:["The OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"})," uses an LLM-powered agent to understand your queries, retrieve relevant information from your knowledge base, and generate context-aware responses.\nThe agent can also fetch information from URLs and new documents that you provide during the chat session.\nTo limit the knowledge available to the agent, use ",(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"filters"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The agent can call specialized Model Context Protocol (MCP) tools to extend its capabilities.\nTo add or change the available tools, you must edit the ",(0,o.jsxs)(n.a,{href:"#flow",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow"]}),"."]}),"\n",(0,o.jsx)(n.admonition,{type:"tip",children:(0,o.jsxs)(n.p,{children:["Try chatting, uploading documents, and modifying chat settings in the ",(0,o.jsx)(n.a,{href:"/quickstart",children:"quickstart"}),"."]})}),"\n",(0,o.jsx)(n.h2,{id:"flow",children:"OpenRAG OpenSearch Agent flow"}),"\n",(0,o.jsxs)(n.p,{children:["When you use the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"}),", the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow runs in the background to retrieve relevant information from your knowledge base and generate a response."]}),"\n",(0,o.jsxs)(n.p,{children:["If you ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"inspect the flow in Langflow"}),", you'll see that it is comprised of eight components that work together to ingest chat messages, retrieve relevant information from your knowledge base, and then generate responses.\nWhen you inspect this flow, you can edit the components to customize the agent's behavior."]}),"\n",(0,o.jsx)(n.p,{children:(0,o.jsx)(n.img,{alt:"OpenRAG Open Search Agent Flow",src:t(3982).A+"",width:"4084",height:"2176"})}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/chat-input-and-output#chat-input",children:[(0,o.jsx)(n.strong,{children:"Chat Input"})," component"]}),": This component starts 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For example, you might create an agent that can access your company's documentation, repositories, and other resources to help your team with tasks that require knowledge of your specific products, customers, and code."}),(0,o.jsx)(n.p,{children:"Agents use LLMs as a reasoning engine to process input, determine which actions to take to address the query, and then generate a response. The response could be a typical text-based LLM response, or it could involve an action, like editing a file, running a script, or calling an external API."}),(0,o.jsx)(n.p,{children:"In an agentic context, tools are functions that the agent can run to perform tasks or access external resources. A function is wrapped as a Tool object with a common interface that the agent understands. Agents become aware of tools through tool registration, which is when the agent is provided a list of available tools typically at agent initialization. The Tool object's description tells the agent what the tool can do so that it can decide whether the tool is appropriate for a given request."})]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-models",children:[(0,o.jsx)(n.strong,{children:"Language Model"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Language Model"})," port, this component provides the base language model driver for the agent. The agent cannot function without a model because the model is used for general knowledge, reasoning, and generating responses."]}),"\n",(0,o.jsx)(n.p,{children:"Different models can change the style and content of the agent's responses, and some models might be better suited for certain tasks than others. If the agent doesn't seem to be handling requests well, try changing the model to see how the responses change. For example, fast models might be good for simple queries, but they might not have the depth of reasoning for complex, multi-faceted queries."}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/mcp-client",children:[(0,o.jsx)(n.strong,{children:"MCP Tools"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Tools"})," port, this component can be used to ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-server",children:"access any MCP server"})," and the MCP tools provided by that server. In this case, your OpenRAG Langflow instance's ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows#projects",children:(0,o.jsx)(n.strong,{children:"Starter Project"})})," is the MCP server, and the ",(0,o.jsxs)(n.a,{href:"/ingestion#url-flow",children:[(0,o.jsx)(n.strong,{children:"OpenSearch URL Ingestion"})," flow"]})," is the MCP tool.\nThis flow fetches content from URLs, and then stores the content in your OpenRAG OpenSearch knowledge base. By serving this flow as an MCP tool, the agent can selectively call this tool if a URL is detected in the chat input."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-elastic#opensearch",children:[(0,o.jsx)(n.strong,{children:"OpenSearch"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Tools"})," port, this component lets the agent search your ",(0,o.jsx)(n.a,{href:"/knowledge",children:"OpenRAG OpenSearch knowledge base"}),". The agent might not use this database for every request; the agent uses this connection only if it decides that documents in your knowledge base are relevant to your query."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-embedding-models",children:[(0,o.jsx)(n.strong,{children:"Embedding Model"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"OpenSearch"})," component's ",(0,o.jsx)(n.strong,{children:"Embedding"})," port, this component generates embeddings from chat input that are used in ",(0,o.jsx)(n.a,{href:"https://www.ibm.com/think/topics/vector-search",children:"similarity search"})," to find content in your knowledge base that is relevant to the chat input. The agent uses this information to generate context-aware responses that are specialized for your data."]}),"\n",(0,o.jsxs)(n.p,{children:["It is critical that the embedding model used here matches the embedding model used when you ",(0,o.jsx)(n.a,{href:"/ingestion",children:"upload documents to your knowledge base"}),". Mismatched models and dimensions can degrade the quality of similarity search results causing the agent to retrieve irrelevant documents from your knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/text-input-and-output#text-input",children:[(0,o.jsx)(n.strong,{children:"Text Input"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"OpenSearch"})," component's ",(0,o.jsx)(n.strong,{children:"Search Filters"})," port, this component is populated with a Langflow global variable named ",(0,o.jsx)(n.code,{children:"OPENRAG-QUERY-FILTER"}),". If a global or chat-level ",(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"knowledge filter"})," is set, then the variable contains the filter expression, which limits the documents that the agent can access in the knowledge base.\nIf no knowledge filter is set, then the ",(0,o.jsx)(n.code,{children:"OPENRAG-QUERY-FILTER"})," variable is empty, and the agent can access all documents in the knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/chat-input-and-output#chat-output",children:[(0,o.jsx)(n.strong,{children:"Chat Output"})," component"]}),": Connected to the ",(0,o.jsx)(n.strong,{children:"Agent"})," component's ",(0,o.jsx)(n.strong,{children:"Output"})," port, this component returns the agent's generated response as a chat message."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"nudges",children:"Nudges"}),"\n",(0,o.jsxs)(n.p,{children:["When you use the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"}),", the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Nudges"})," flow runs in the background to pull additional context from your knowledge base and chat history."]}),"\n",(0,o.jsxs)(n.p,{children:["Nudges appear as prompts in the chat.\nClick a nudge to accept it and provide the nudge's context to the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"})," agent (the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow)."]}),"\n",(0,o.jsxs)(n.p,{children:["Like OpenRAG's other built-in flows, you can ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"inspect the flow in Langflow"}),", and you can customize it if you want to change the nudge behavior."]}),"\n",(0,o.jsx)(n.h2,{id:"upload-documents-to-the-chat",children:"Upload documents to the chat"}),"\n",(0,o.jsx)(l.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"inspect-tool-calls-and-knowledge",children:"Inspect tool calls and knowledge"}),"\n",(0,o.jsxs)(n.p,{children:["During the chat, you'll see information about the agent's process. For more detail, you can inspect individual tool calls. This is helpful for troubleshooting because it shows you how the agent used particular tools. For example, click ",(0,o.jsx)(a.A,{name:"Gear","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Function Call: search_documents (tool_call)"})," to view the log of tool calls made by the agent to the ",(0,o.jsx)(n.strong,{children:"OpenSearch"})," component."]}),"\n",(0,o.jsxs)(n.p,{children:["If documents in your knowledge base seem to be missing or interpreted incorrectly, see ",(0,o.jsx)(n.a,{href:"/ingestion#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["If tool calls and knowledge appear normal, but the agent's responses seem off-topic or incorrect, consider changing the agent's language model or prompt, as explained in ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"integrate-openrag-chat-into-an-application",children:"Integrate OpenRAG chat into an application"}),"\n",(0,o.jsxs)(n.p,{children:["You can integrate OpenRAG flows into your applications using the ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Langflow API"}),".\nTo simplify this integration, you can get pre-configured code snippets directly from the embedded Langflow visual editor."]}),"\n",(0,o.jsxs)(n.p,{children:["The following example demonstrates how to generate and use code snippets for the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow:"]}),"\n",(0,o.jsx)(i.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"troubleshoot-chat",children:"Troubleshoot chat"}),"\n",(0,o.jsxs)(n.p,{children:["The following issues can occur when using the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"})," feature:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["Documents seem to be missing or interpreted incorrectly: See ",(0,o.jsx)(n.a,{href:"/ingestion#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Service is suddenly unavailable when it was working previously: If there is no other obvious cause, such as the service or container VM being stopped or disconnected, there might be a problem with the flow configuration. Use the ",(0,o.jsxs)(n.a,{href:"/agents#revert-a-built-in-flow-to-its-original-configuration",children:[(0,o.jsx)(n.strong,{children:"Restore flow"})," option"]})," to revert the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow to its original configuration.\nIf you made customizations to the flow, make sure to ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows-import",children:"export your flow"})," before restoring the flow."]}),"\n"]})]})}function g(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(p,{...e})}):p(e)}},3982:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png"},7224:(e,n,t)=>{t.d(n,{Ay:()=>h,RM:()=>l});var s=t(4848),o=t(8453),r=t(9179),a=t(1470),i=t(9365);const l=[];function c(e){const n={a:"a",code:"code",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,o.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Open the ",(0,s.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow in the Langflow visual editor: From the ",(0,s.jsx)(n.strong,{children:"Chat"})," window, click ",(0,s.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Settings"}),", click ",(0,s.jsx)(n.strong,{children:"Edit in Langflow"}),", and then click ",(0,s.jsx)(n.strong,{children:"Proceed"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Optional: If you don't want to use the Langflow API key that is generated automatically when you install OpenRAG, you can create a ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication",children:"Langflow API key"}),".\nThis key doesn't grant access to OpenRAG; it is only for authenticating with the Langflow API."]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["In the Langflow visual editor, click your user icon in the header, and then select ",(0,s.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Click ",(0,s.jsx)(n.strong,{children:"Langflow API Keys"}),", and then click ",(0,s.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Add New"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Name your key, and then click ",(0,s.jsx)(n.strong,{children:"Create API Key"}),"."]}),"\n",(0,s.jsx)(n.li,{children:"Copy the API key and store it securely."}),"\n",(0,s.jsxs)(n.li,{children:["Exit the Langflow ",(0,s.jsx)(n.strong,{children:"Settings"})," page to return to the visual editor."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Share"}),", and then select ",(0,s.jsx)(n.strong,{children:"API access"})," to get pregenerated code snippets that call the Langflow API and run the flow."]}),"\n",(0,s.jsxs)(n.p,{children:["These code snippets construct API requests with your Langflow server URL (",(0,s.jsx)(n.code,{children:"LANGFLOW_SERVER_ADDRESS"}),"), the flow to run (",(0,s.jsx)(n.code,{children:"FLOW_ID"}),"), required headers (",(0,s.jsx)(n.code,{children:"LANGFLOW_API_KEY"}),", ",(0,s.jsx)(n.code,{children:"Content-Type"}),"), and a payload containing the required inputs to run the flow, including a default chat input message."]}),"\n",(0,s.jsx)(n.p,{children:"In production, you would modify the inputs to suit your application logic. For example, you could replace the default chat input message with dynamic user input."}),"\n",(0,s.jsxs)(a.A,{children:[(0,s.jsx)(i.A,{value:"python",label:"Python",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'import requests\nimport os\nimport uuid\n\napi_key = \'LANGFLOW_API_KEY\'\nurl = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"  # The complete API endpoint URL for this flow\n\n# Request payload configuration\npayload = {\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n}\npayload["session_id"] = str(uuid.uuid4())\n\nheaders = {"x-api-key": api_key}\n\ntry:\n    # Send API request\n    response = requests.request("POST", url, json=payload, headers=headers)\n    response.raise_for_status()  # Raise exception for bad status codes\n\n    # Print response\n    print(response.text)\n\nexcept requests.exceptions.RequestException as e:\n    print(f"Error making API request: {e}")\nexcept ValueError as e:\n    print(f"Error parsing response: {e}")\n'})})}),(0,s.jsx)(i.A,{value:"typescript",label:"TypeScript",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-typescript",children:'const crypto = require(\'crypto\');\nconst apiKey = \'LANGFLOW_API_KEY\';\nconst payload = {\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n};\npayload.session_id = crypto.randomUUID();\n\nconst options = {\n    method: \'POST\',\n    headers: {\n        \'Content-Type\': \'application/json\',\n        "x-api-key": apiKey\n    },\n    body: JSON.stringify(payload)\n};\n\nfetch(\'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID\', options)\n    .then(response => response.json())\n    .then(response => console.warn(response))\n    .catch(err => console.error(err));\n'})})}),(0,s.jsx)(i.A,{value:"curl",label:"curl",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:'curl --request POST \\\n  --url \'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false\' \\\n  --header \'Content-Type: application/json\' \\\n  --header "x-api-key: LANGFLOW_API_KEY" \\\n  --data \'{\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n  }\'\n'})})})]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Copy your preferred snippet, and then run it:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Python"}),": Paste the snippet into a ",(0,s.jsx)(n.code,{children:".py"})," file, save it, and then run it with ",(0,s.jsx)(n.code,{children:"python filename.py"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"TypeScript"}),": Paste the snippet into a ",(0,s.jsx)(n.code,{children:".ts"})," file, save it, and then run it with ",(0,s.jsx)(n.code,{children:"ts-node filename.ts"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"curl"}),": Paste and run snippet directly in your terminal."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"If the request is successful, the response includes many details about the flow run, including the session ID, inputs, outputs, components, durations, and more."}),"\n",(0,s.jsxs)(n.p,{children:["In production, you won't pass the raw response to the user in its entirety.\nInstead, you extract and reformat relevant fields for different use cases, as demonstrated in the ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/get-started-quickstart#extract-data-from-the-response",children:"Langflow quickstart"}),".\nFor example, you could pass the chat output text to a front-end user-facing application, and store specific fields in logs and backend data stores for monitoring, chat history, or analytics.\nYou could also pass the output from one flow as input to another flow."]})]})}function h(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},8401:(e,n,t)=>{t.d(n,{Ay:()=>l,RM:()=>a});var s=t(4848),o=t(8453),r=t(9179);const a=[];function i(e){const n={p:"p",strong:"strong",...(0,o.R)(),...e.components};return(0,s.jsxs)(n.p,{children:["When using the OpenRAG ",(0,s.jsx)(n.strong,{children:"Chat"}),", click ",(0,s.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," in the chat input field to upload a file to the current chat session.\nFiles added this way are processed and made available to the agent for the current conversation only.\nThese files aren't stored in the knowledge base permanently."]})}function l(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},9179:(e,n,t)=>{t.d(n,{A:()=>r});t(6540);var s=t(7856),o=t(4848);function r({name:e,...n}){const t=s[e];return t?(0,o.jsx)(t,{...n}):null}},9365:(e,n,t)=>{t.d(n,{A:()=>a});t(6540);var s=t(4164);const o={tabItem:"tabItem_Ymn6"};var r=t(4848);function a({children:e,hidden:n,className:t}){return(0,r.jsx)("div",{role:"tabpanel",className:(0,s.A)(o.tabItem,t),hidden:n,children:e})}}}]);
\ No newline at end of file
diff --git a/assets/js/33362219.9fafa665.js b/assets/js/33362219.9fafa665.js
deleted file mode 100644
index 8bc8ca63..00000000
--- a/assets/js/33362219.9fafa665.js
+++ /dev/null
@@ -1 +0,0 @@
-"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[9532],{3982:(e,n,t)=>{t.d(n,{A:()=>s});const s=t.p+"assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png"},8748:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>c,contentTitle:()=>a,default:()=>f,frontMatter:()=>r,metadata:()=>s,toc:()=>d});const s=JSON.parse('{"id":"core-components/agents","title":"Use Langflow in OpenRAG","description":"OpenRAG includes a built-in Langflow instance for creating and managing functional application workflows called flows.","source":"@site/docs/core-components/agents.mdx","sourceDirName":"core-components","slug":"/agents","permalink":"/agents","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/core-components/agents.mdx","tags":[],"version":"current","frontMatter":{"title":"Use Langflow in OpenRAG","slug":"/agents"},"sidebar":"tutorialSidebar","previous":{"title":"Manage services","permalink":"/manage-services"},"next":{"title":"Configure knowledge","permalink":"/knowledge"}}');var o=t(4848),i=t(8453),l=t(9179);const r={title:"Use Langflow in OpenRAG",slug:"/agents"},a=void 0,c={},d=[{value:"Inspect and modify flows",id:"inspect-and-modify-flows",level:2},{value:"Revert a built-in flow to its original configuration",id:"revert-a-built-in-flow-to-its-original-configuration",level:3},{value:"Build custom flows and use other Langflow functionality",id:"build-custom-flows-and-use-other-langflow-functionality",level:2},{value:"Modify a flow at runtime",id:"modify-a-flow-at-runtime",level:2},{value:"Set the Langflow version",id:"set-the-langflow-version",level:2}];function h(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",h3:"h3",img:"img",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,o.jsxs)(o.Fragment,{children:[(0,o.jsxs)(n.p,{children:["OpenRAG includes a built-in ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/",children:"Langflow"})," instance for creating and managing functional application workflows called ",(0,o.jsx)(n.em,{children:"flows"}),".\nIn a flow, the individual workflow steps are represented by ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-components",children:(0,o.jsx)(n.em,{children:"components"})})," that are connected together to form a complete process."]}),"\n",(0,o.jsx)(n.p,{children:"OpenRAG includes several built-in flows:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["The ",(0,o.jsxs)(n.a,{href:"/chat#flow",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow"]})," powers the ",(0,o.jsx)(n.strong,{children:"Chat"})," feature in OpenRAG."]}),"\n",(0,o.jsxs)(n.li,{children:["The ",(0,o.jsxs)(n.a,{href:"/ingestion",children:[(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," and ",(0,o.jsx)(n.strong,{children:"OpenSearch URL Ingestion"})," flows"]})," process documents and web content for storage in your OpenSearch knowledge base."]}),"\n",(0,o.jsxs)(n.li,{children:["The ",(0,o.jsxs)(n.a,{href:"/chat#nudges",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Nudges"})," flow"]})," provides optional contextual suggestions in the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"}),"."]}),"\n"]}),"\n",(0,o.jsx)(n.p,{children:"You can customize these flows and create your own flows using OpenRAG's embedded Langflow visual editor."}),"\n",(0,o.jsx)(n.h2,{id:"inspect-and-modify-flows",children:"Inspect and modify flows"}),"\n",(0,o.jsx)(n.p,{children:"All OpenRAG flows are designed to be modular, performant, and provider-agnostic."}),"\n",(0,o.jsxs)(n.p,{children:["To modify a flow in OpenRAG, click ",(0,o.jsx)(l.A,{name:"Settings2","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Settings"}),".\nFrom here, you can quickly edit commonly used parameters, such as the ",(0,o.jsx)(n.strong,{children:"Language model"})," and ",(0,o.jsx)(n.strong,{children:"Agent Instructions"}),".\nTo further explore and edit the flow, click ",(0,o.jsx)(n.strong,{children:"Edit in Langflow"})," to launch the embedded ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-overview",children:"Langflow visual editor"})," where you can fully ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows",children:"customize the flow"})," to suit your use case."]}),"\n",(0,o.jsxs)(n.p,{children:["For example, to view and edit the built-in ",(0,o.jsx)(n.strong,{children:"Chat"})," flow (the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow), do the following:"]}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["In OpenRAG, click ",(0,o.jsx)(l.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Chat"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(l.A,{name:"Settings2","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Settings"}),", and then click ",(0,o.jsx)(n.strong,{children:"Edit in Langflow"})," to launch the Langflow visual editor in a new browser window."]}),"\n",(0,o.jsxs)(n.p,{children:["If prompted to acknowledge that you are entering Langflow, click ",(0,o.jsx)(n.strong,{children:"Proceed"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["If Langflow requests login information, enter the ",(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," and ",(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," from your ",(0,o.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n",(0,o.jsx)(n.p,{children:(0,o.jsx)(n.img,{alt:"OpenRAG OpenSearch Agent flow",src:t(3982).A+"",width:"4084",height:"2176"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Modify the flow as desired, and then press ",(0,o.jsx)("kbd",{children:"Command"}),"+",(0,o.jsx)("kbd",{children:"S"})," (",(0,o.jsx)("kbd",{children:"Ctrl"}),"+",(0,o.jsx)("kbd",{children:"S"}),") to save your changes."]}),"\n",(0,o.jsx)(n.p,{children:"You can close the Langflow browser window, or leave it open if you want to continue experimenting with the flow editor."}),"\n",(0,o.jsx)(n.admonition,{type:"tip",children:(0,o.jsxs)(n.p,{children:["If you modify the built-in ",(0,o.jsx)(n.strong,{children:"Chat"})," flow, make sure you click ",(0,o.jsx)(l.A,{name:"Plus","aria-hidden":"true"})," in the ",(0,o.jsx)(n.strong,{children:"Conversations"})," tab to start a new conversation. This ensures that the chat doesn't persist any context from the previous conversation with the original flow settings."]})}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h3,{id:"revert-a-built-in-flow-to-its-original-configuration",children:"Revert a built-in flow to its original configuration"}),"\n",(0,o.jsxs)(n.p,{children:["After you edit a built-in flow, you can click ",(0,o.jsx)(n.strong,{children:"Restore flow"})," on the ",(0,o.jsx)(n.strong,{children:"Settings"})," page to revert the flow to its original state when you first installed OpenRAG.\nThis is a destructive action that discards all customizations to the flow."]}),"\n",(0,o.jsx)(n.h2,{id:"build-custom-flows-and-use-other-langflow-functionality",children:"Build custom flows and use other Langflow functionality"}),"\n",(0,o.jsxs)(n.p,{children:["In addition to OpenRAG's built-in flows, all Langflow features are available through OpenRAG, including the ability to ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows",children:"create your own flows"})," and popular extensibility features such as the following:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.a,{href:"https://docs.langflow.org/components-custom-components",children:"Create custom components"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Integrate with many third-party services through ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/components-bundle-components",children:"bundles"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Use ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-client",children:"MCP clients"})," and ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-server",children:"MCP servers"}),", and serve flows as MCP tools for your agentic flows."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["Explore the ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/",children:"Langflow documentation"})," to learn more about the Langflow platform, features, and visual editor."]}),"\n",(0,o.jsx)(n.h2,{id:"modify-a-flow-at-runtime",children:"Modify a flow at runtime"}),"\n",(0,o.jsxs)(n.p,{children:["You can use ",(0,o.jsx)(n.em,{children:"tweaks"})," to modify flow settings at runtime without permanently changing the flow's configuration.\nTweaks are one-time parameter modifications that are passed to specific Langflow components during flow execution.\nFor more information on tweaks, see the Langflow documentation on ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-publish#input-schema",children:"Input schema (tweaks)"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"set-the-langflow-version",children:"Set the Langflow version"}),"\n",(0,o.jsx)(n.p,{children:"By default, OpenRAG is pinned to the latest Langflow Docker image for stability."}),"\n",(0,o.jsxs)(n.p,{children:["If necessary, you can set a specific Langflow version with the ",(0,o.jsx)(n.code,{children:"LANGFLOW_VERSION"})," ",(0,o.jsx)(n.a,{href:"/reference/configuration",children:"environment variable"}),". However, there are risks to changing this setting:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/",children:"Langflow documentation"})," describes the functionality present in the latest release of the Langflow OSS Python package. If your ",(0,o.jsx)(n.code,{children:"LANGFLOW_VERSION"})," is different, the Langflow documentation might not align with the features and default settings in your OpenRAG installation."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Components might break, including components in OpenRAG's built-in flows."}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Default settings and behaviors might change causing unexpected results when OpenRAG expects a newer default."}),"\n"]}),"\n"]})]})}function f(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(h,{...e})}):h(e)}},9179:(e,n,t)=>{t.d(n,{A:()=>i});t(6540);var s=t(7856),o=t(4848);function i({name:e,...n}){const t=s[e];return t?(0,o.jsx)(t,{...n}):null}}}]);
\ No newline at end of file
diff --git a/assets/js/33362219.aaf41871.js b/assets/js/33362219.aaf41871.js
new file mode 100644
index 00000000..a48704ba
--- /dev/null
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+"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[9532],{3982:(e,n,s)=>{s.d(n,{A:()=>t});const t=s.p+"assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png"},8748:(e,n,s)=>{s.r(n),s.d(n,{assets:()=>c,contentTitle:()=>a,default:()=>g,frontMatter:()=>l,metadata:()=>t,toc:()=>d});const t=JSON.parse('{"id":"core-components/agents","title":"Use Langflow in OpenRAG","description":"OpenRAG includes a built-in Langflow instance for creating and managing functional application workflows called flows.","source":"@site/docs/core-components/agents.mdx","sourceDirName":"core-components","slug":"/agents","permalink":"/agents","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/core-components/agents.mdx","tags":[],"version":"current","frontMatter":{"title":"Use Langflow in OpenRAG","slug":"/agents"},"sidebar":"tutorialSidebar","previous":{"title":"Manage 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",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/",children:"Langflow"})," instance for creating and managing functional application workflows called ",(0,o.jsx)(n.em,{children:"flows"}),".\nIn a flow, the individual workflow steps are represented by ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-components",children:(0,o.jsx)(n.em,{children:"components"})})," that are connected together to form a complete process."]}),"\n",(0,o.jsx)(n.p,{children:"OpenRAG includes several built-in flows:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["The ",(0,o.jsxs)(n.a,{href:"/chat#flow",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow"]})," powers the ",(0,o.jsx)(n.strong,{children:"Chat"})," feature in OpenRAG."]}),"\n",(0,o.jsxs)(n.li,{children:["The ",(0,o.jsxs)(n.a,{href:"/ingestion",children:[(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," and ",(0,o.jsx)(n.strong,{children:"OpenSearch URL Ingestion"})," flows"]})," process documents and web content for storage in your OpenSearch knowledge base."]}),"\n",(0,o.jsxs)(n.li,{children:["The ",(0,o.jsxs)(n.a,{href:"/chat#nudges",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Nudges"})," flow"]})," provides optional contextual suggestions in the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"}),"."]}),"\n"]}),"\n",(0,o.jsx)(n.p,{children:"You can customize these flows and create your own flows using OpenRAG's embedded Langflow visual editor."}),"\n",(0,o.jsx)(n.h2,{id:"inspect-and-modify-flows",children:"Inspect and modify flows"}),"\n",(0,o.jsx)(n.p,{children:"All OpenRAG flows are designed to be modular, performant, and provider-agnostic."}),"\n",(0,o.jsxs)(n.p,{children:["To view and modify a flow in OpenRAG, click ",(0,o.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Settings"}),".\nFrom here, you can manage OAuth connectors, model providers, and common parameters for the ",(0,o.jsx)(n.strong,{children:"Agent"})," and ",(0,o.jsx)(n.strong,{children:"Knowledge Ingestion"})," flows."]}),"\n",(0,o.jsxs)(n.p,{children:["To further explore and edit flows, click ",(0,o.jsx)(n.strong,{children:"Edit in Langflow"})," to launch the embedded ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-overview",children:"Langflow visual editor"})," where you can fully ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows",children:"customize the flow"})," to suit your use case."]}),"\n",(0,o.jsxs)(n.admonition,{type:"tip",children:[(0,o.jsxs)(n.p,{children:["After you click ",(0,o.jsx)(n.strong,{children:"Edit in Langflow"}),", you can access and edit all of OpenRAG's built-in flows from the Langflow editor's ",(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/concepts-flows#projects",children:[(0,o.jsx)(n.strong,{children:"Projects"})," page"]}),"."]}),(0,o.jsxs)(n.p,{children:["If you edit any flows other than the ",(0,o.jsx)(n.strong,{children:"Agent"})," or ",(0,o.jsx)(n.strong,{children:"Knowledge Ingestion"})," flows, it is recommended that you ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows-import",children:"export the flows"})," before editing so you can revert them to their original state if needed."]})]}),"\n",(0,o.jsxs)(n.p,{children:["For example, the following steps explain how to edit the built-in ",(0,o.jsx)(n.strong,{children:"Agent"})," flow, which is the ",(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow used for the OpenRAG ",(0,o.jsx)(r.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Chat"}),":"]}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["In OpenRAG, click ",(0,o.jsx)(r.A,{name:"Settings2","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Settings"}),", and then find the ",(0,o.jsx)(n.strong,{children:"Agent"})," section."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["If you only need to edit the language model or agent instructions, edit those fields directly on the ",(0,o.jsx)(n.strong,{children:"Settings"})," page.\nLanguage model changes are saved automatically.\nTo apply new instructions, click ",(0,o.jsx)(n.strong,{children:"Save Agent Instructions"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["To edit all flow settings and components with full customization capabilities, click ",(0,o.jsx)(n.strong,{children:"Edit in Langflow"})," to launch the Langflow visual editor in a new browser tab."]}),"\n",(0,o.jsxs)(n.p,{children:["If prompted to acknowledge that you are entering Langflow, click ",(0,o.jsx)(n.strong,{children:"Proceed"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["If Langflow requests login information, enter the ",(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," and ",(0,o.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," from your ",(0,o.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n",(0,o.jsx)(n.p,{children:(0,o.jsx)(n.img,{alt:"OpenRAG OpenSearch Agent flow",src:s(3982).A+"",width:"4084",height:"2176"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Modify the flow as desired, and then press ",(0,o.jsx)("kbd",{children:"Command"}),"+",(0,o.jsx)("kbd",{children:"S"})," (",(0,o.jsx)("kbd",{children:"Ctrl"}),"+",(0,o.jsx)("kbd",{children:"S"}),") to save your changes."]}),"\n",(0,o.jsx)(n.p,{children:"You can close the Langflow browser tab, or leave it open if you want to continue experimenting with the flow editor."}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["After you modify any ",(0,o.jsx)(n.strong,{children:"Agent"})," flow settings, go to the OpenRAG ",(0,o.jsx)(r.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Chat"}),", and then click ",(0,o.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Start new conversation"})," in the ",(0,o.jsx)(n.strong,{children:"Conversations"})," list.\nThis ensures that the chat doesn't persist any context from the previous conversation with the original flow settings."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.h3,{id:"revert-a-built-in-flow-to-its-original-configuration",children:"Revert a built-in flow to its original configuration"}),"\n",(0,o.jsxs)(n.p,{children:["After you edit the ",(0,o.jsx)(n.strong,{children:"Agent"})," or ",(0,o.jsx)(n.strong,{children:"Knowledge Ingestion"})," built-in flows, you can click ",(0,o.jsx)(n.strong,{children:"Restore flow"})," on the ",(0,o.jsx)(n.strong,{children:"Settings"})," page to revert either flow to its original state when you first installed OpenRAG.\nThis is a destructive action that discards all customizations to the flow."]}),"\n",(0,o.jsxs)(n.p,{children:["This option isn't available for other built-in flows such as the ",(0,o.jsx)(n.strong,{children:"Nudges"})," flow.\nTo restore these flows to their original state, you must reimport the flow from a backup (if you exported one before editing), or ",(0,o.jsx)(n.a,{href:"/manage-services#reset-containers",children:"reset"})," or ",(0,o.jsx)(n.a,{href:"/reinstall",children:"reinstall"})," OpenRAG."]}),"\n",(0,o.jsx)(n.h2,{id:"build-custom-flows-and-use-other-langflow-functionality",children:"Build custom flows and use other Langflow functionality"}),"\n",(0,o.jsxs)(n.p,{children:["In addition to OpenRAG's built-in flows, all Langflow features are available through OpenRAG, including the ability to ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-flows",children:"create your own flows"})," and popular extensibility features such as the following:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.a,{href:"https://docs.langflow.org/components-custom-components",children:"Create custom components"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Integrate with many third-party services through ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/components-bundle-components",children:"bundles"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["Use ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-client",children:"MCP clients"})," and ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-server",children:"MCP servers"}),", and serve flows as MCP tools for your agentic flows."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["Explore the ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/",children:"Langflow documentation"})," to learn more about the Langflow platform, features, and visual editor."]}),"\n",(0,o.jsx)(n.h2,{id:"modify-a-flow-at-runtime",children:"Modify a flow at runtime"}),"\n",(0,o.jsxs)(n.p,{children:["You can use ",(0,o.jsx)(n.em,{children:"tweaks"})," to modify flow settings at runtime without permanently changing the flow's configuration.\nTweaks are one-time parameter modifications that are passed to specific Langflow components during flow execution.\nFor more information on tweaks, see the Langflow documentation on ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/concepts-publish#input-schema",children:"Input schema (tweaks)"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"set-the-langflow-version",children:"Set the Langflow version"}),"\n",(0,o.jsx)(n.p,{children:"By default, OpenRAG is pinned to the latest Langflow Docker image for stability."}),"\n",(0,o.jsxs)(n.p,{children:["If necessary, you can set a specific Langflow version with the ",(0,o.jsx)(n.code,{children:"LANGFLOW_VERSION"})," ",(0,o.jsx)(n.a,{href:"/reference/configuration",children:"environment variable"}),". However, there are risks to changing this setting:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/",children:"Langflow documentation"})," describes the functionality present in the latest release of the Langflow OSS Python package. 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similarity index 98%
rename from assets/js/6567.08800141.js
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index a3da5104..b98b458e 100644
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diff --git a/assets/js/71478a5d.6bdf311d.js b/assets/js/71478a5d.6bdf311d.js
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diff --git a/assets/js/71478a5d.d81ec55b.js b/assets/js/71478a5d.d81ec55b.js
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r=t(4848),i=t(8453),l=t(9179),o=t(6567);const a={title:"Filter knowledge",slug:"/knowledge-filters"},d=void 0,c={},h=[{value:"Built-in filters",id:"built-in-filters",level:2},{value:"Create a filter",id:"create-a-filter",level:2},...o.RM,{value:"Edit a filter",id:"edit-a-filter",level:2},{value:"Apply a filter",id:"apply-a-filter",level:2},{value:"Delete a filter",id:"delete-a-filter",level:2}];function u(e){const n={a:"a",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsxs)(n.p,{children:["OpenRAG's knowledge filters help you organize and manage your ",(0,r.jsx)(n.a,{href:"/knowledge",children:"knowledge base"})," by creating pre-defined views of your documents."]}),"\n",(0,r.jsx)(n.p,{children:"Each knowledge filter captures a specific subset of documents based on given a search query and filters."}),"\n",(0,r.jsx)(n.p,{children:"Knowledge filters can be used with different OpenRAG functionality.\nFor example, knowledge filters can help agents access large knowledge bases efficiently by narrowing the scope of documents that you want the agent to use."}),"\n",(0,r.jsx)(n.h2,{id:"built-in-filters",children:"Built-in filters"}),"\n",(0,r.jsxs)(n.p,{children:["When you install OpenRAG, it automatically creates an ",(0,r.jsx)(n.strong,{children:"OpenRAG docs"})," filter that includes OpenRAG's default documents.\nThese documents provide information about OpenRAG itself and help you learn how to use OpenRAG."]}),"\n",(0,r.jsxs)(n.p,{children:["When you use the OpenRAG ",(0,r.jsx)(l.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Chat"}),", ",(0,r.jsxs)(n.a,{href:"#apply-a-filter",children:["apply the ",(0,r.jsx)(n.strong,{children:"OpenRAG docs"})," filter"]})," if you want to ask questions about OpenRAG's features and functionality.\nThis limits the agent's context to the default OpenRAG documentation rather than all documents in your knowledge base."]}),"\n",(0,r.jsx)(n.p,{children:"After uploading your own documents, it is recommended that you create your own filters to organize your documents effectively and separate them from the default OpenRAG documents."}),"\n",(0,r.jsx)(n.h2,{id:"create-a-filter",children:"Create a filter"}),"\n",(0,r.jsx)(n.p,{children:"To create a knowledge filter, do the following:"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(l.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"}),", and then click ",(0,r.jsx)(l.A,{name:"Plus","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge Filters"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Enter a ",(0,r.jsx)(n.strong,{children:"Name"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Optional: Click the filter icon next to the filter name to select a different icon and color for the filter.\nThis is purely cosmetic, but it can help you visually distinguish different sets of filters, such as different projects or sources."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Optional: Enter a ",(0,r.jsx)(n.strong,{children:"Description"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Customize the filter settings."}),"\n",(0,r.jsx)(n.p,{children:"By default, filters match all documents in your knowledge base.\nUse the filter settings to narrow the scope of documents that the filter captures:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Search Query"}),": Enter a natural language text string for semantic search."]}),"\n",(0,r.jsxs)(n.p,{children:["When you apply a filter that has a ",(0,r.jsx)(n.strong,{children:"Search Query"}),", only documents matching the search query are included.\nIt is recommended that you also use the ",(0,r.jsx)(n.strong,{children:"Score Threshold"})," setting to avoid returning irrelevant documents."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Data Sources"}),": Select specific files and folders to include in the filter."]}),"\n",(0,r.jsx)(n.p,{children:"This is useful if you want to create a filter for a specific project or topic and you know the specific documents you want to include.\nSimilarly, if you upload a folder of documents or enable an OAuth connector, you might want to create a filter that only includes the documents from that source."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Document Types"}),": Filter by file type."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Owners"}),": Filter by the user that uploaded the documents."]}),"\n",(0,r.jsx)(o.Ay,{}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Connectors"}),": Filter by ",(0,r.jsx)(n.a,{href:"/ingestion",children:"upload source"}),", such as the local file system or an OAuth connector."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Response Limit"}),": Set the maximum number of results to return from the knowledge base. The default is ",(0,r.jsx)(n.code,{children:"10"}),", which means the filter returns only the top 10 most relevant documents."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Score Threshold"}),": Set the minimum relevance score for similarity search. The default score is ",(0,r.jsx)(n.code,{children:"0"}),". A threshold is recommended to avoid returned irrelevant documents."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Create Filter"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"edit-a-filter",children:"Edit a filter"}),"\n",(0,r.jsxs)(n.p,{children:["To modify a filter, click ",(0,r.jsx)(l.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"}),", and then click the filter you want to edit in the ",(0,r.jsx)(n.strong,{children:"Knowledge Filters"})," list.\nOn the filter settings pane, edit the filter as desired, and then click ",(0,r.jsx)(n.strong,{children:"Update Filter"}),"."]}),"\n",(0,r.jsx)(n.h2,{id:"apply-a-filter",children:"Apply a filter"}),"\n",(0,r.jsxs)(n.p,{children:["In the OpenRAG ",(0,r.jsx)(l.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Chat"}),", click ",(0,r.jsx)(l.A,{name:"Funnel","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Filter"}),", and then select the filter to apply.\nChat filters apply to one chat session only."]}),"\n",(0,r.jsxs)(n.p,{children:["You can also use filters when ",(0,r.jsx)(n.a,{href:"/knowledge#browse-knowledge",children:"browsing your knowledge base"}),".\nThis is a helpful way to test filters and manage knowledge bases that have many documents."]}),"\n",(0,r.jsx)(n.h2,{id:"delete-a-filter",children:"Delete a filter"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(l.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the ",(0,r.jsx)(n.strong,{children:"Knowledge Filters"})," list, click the filter that you want to delete."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the filter settings pane, click ",(0,r.jsx)(n.strong,{children:"Delete Filter"}),"."]}),"\n"]}),"\n"]})]})}function f(e={}){const{wrapper:n}={...(0,i.R)(),...e.components};return n?(0,r.jsx)(n,{...e,children:(0,r.jsx)(u,{...e})}):u(e)}},6567:(e,n,t)=>{t.d(n,{Ay:()=>o,RM:()=>i});var s=t(4848),r=t(8453);const i=[];function l(e){const n={a:"a",p:"p",strong:"strong",...(0,r.R)(),...e.components};return(0,s.jsxs)(n.p,{children:["In no-auth mode, all documents are attributed to ",(0,s.jsx)(n.strong,{children:"Anonymous User"})," because there is no distinct document ownership or unique JWTs. For more control over document ownership and visibility, use OAuth mode. For more information, see ",(0,s.jsx)(n.a,{href:"/knowledge#auth",children:"OpenSearch authentication and document access"}),"."]})}function o(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(l,{...e})}):l(e)}},9179:(e,n,t)=>{t.d(n,{A:()=>i});t(6540);var s=t(7856),r=t(4848);function i({name:e,...n}){const t=s[e];return t?(0,r.jsx)(t,{...n}):null}}}]);
\ No newline at end of file
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-"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[2272],{309:(e,n,r)=>{r.d(n,{Ay:()=>l,RM:()=>o});var s=r(4848),t=r(8453);const o=[];function i(e){const n={a:"a",code:"code",li:"li",p:"p",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Install ",(0,s.jsx)(n.a,{href:"https://docs.astral.sh/uv/getting-started/installation/",children:"uv"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Install ",(0,s.jsx)(n.a,{href:"https://podman.io/docs/installation",children:"Podman"})," (recommended) or ",(0,s.jsx)(n.a,{href:"https://docs.docker.com/get-docker/",children:"Docker"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["The OpenRAG team recommends, at minimum, 8 GB of RAM for container VMs.\nHowever, if you plan to upload large files regularly, more RAM is recommended.\nFor more information, see ",(0,s.jsx)(n.a,{href:"/support/troubleshoot",children:"Troubleshoot OpenRAG"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Install ",(0,s.jsx)(n.a,{href:"https://docs.podman.io/en/latest/markdown/podman-compose.1.html",children:(0,s.jsx)(n.code,{children:"podman-compose"})})," or ",(0,s.jsx)(n.a,{href:"https://docs.docker.com/compose/install/",children:"Docker Compose"}),".\nTo use Docker Compose with Podman, you must alias Docker Compose commands to Podman commands."]}),"\n"]}),"\n"]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},887:(e,n,r)=>{r.d(n,{Ay:()=>h,RM:()=>c});var s=r(4848),t=r(8453),o=r(9179),i=r(1470),l=r(9365),a=r(3059);const c=[{value:"Complete the application onboarding process",id:"application-onboarding",level:2},...a.RM];function d(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.h2,{id:"application-onboarding",children:"Complete the application onboarding process"}),"\n",(0,s.jsxs)(n.p,{children:["The first time you start the OpenRAG application, you must complete the application onboarding process to select language and embedding models that are essential for OpenRAG features like the ",(0,s.jsx)(n.a,{href:"/chat",children:(0,s.jsx)(n.strong,{children:"Chat"})}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["Some of these variables, such as the embedding models, can be changed seamlessly after onboarding.\nOthers are immutable and require you to destroy and recreate the OpenRAG containers.\nFor more information, see the ",(0,s.jsx)(n.a,{href:"/reference/configuration",children:"OpenRAG environment variables reference"}),"."]}),"\n",(0,s.jsx)(n.p,{children:"You can use different providers for your language model and embedding model, such as Anthropic for the language model and OpenAI for the embedding model.\nAdditionally, you can set multiple embedding models."}),"\n",(0,s.jsx)(n.p,{children:"You only need to complete onboarding for your preferred providers."}),"\n",(0,s.jsxs)(i.A,{groupId:"Provider",children:[(0,s.jsxs)(l.A,{value:"Anthropic",label:"Anthropic",default:!0,children:[(0,s.jsx)(n.admonition,{type:"info",children:(0,s.jsx)(n.p,{children:"Anthropic doesn't provide embedding models. If you select Anthropic for your language model, you must select a different provider for the embedding model."})}),(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Enter your Anthropic API key, or enable ",(0,s.jsx)(n.strong,{children:"Use environment API key"})," to pull the key from your ",(0,s.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,s.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Under ",(0,s.jsx)(n.strong,{children:"Advanced settings"}),", select the language model that you want to use."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Complete"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Select a provider for embeddings, provide the required information, and then select the embedding model you want to use.\nFor information about another provider's credentials and settings, see the instructions for that provider."}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["After you configure the embedding model, OpenRAG uses your credentials and models to ingest some ",(0,s.jsx)(n.a,{href:"/knowledge#default-documents",children:"initial documents"}),". This tests the connection, and it allows you to ask OpenRAG about itself in the ",(0,s.jsx)(n.a,{href:"/chat",children:(0,s.jsx)(n.strong,{children:"Chat"})}),".\nIf there is a problem with the model configuration, an error occurs and you are redirected back to the application onboarding screen.\nVerify that the credential is valid and has access to the selected model, and then click ",(0,s.jsx)(n.strong,{children:"Complete"})," to retry ingestion."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Continue through the overview slides for a brief introduction to OpenRAG, or click ",(0,s.jsx)(o.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Skip overview"}),".\nThe overview demonstrates some basic functionality that is covered in the ",(0,s.jsx)(n.a,{href:"/quickstart#chat-with-documents",children:"quickstart"})," and in other parts of the OpenRAG documentation."]}),"\n"]}),"\n"]})]}),(0,s.jsx)(l.A,{value:"IBM watsonx.ai",label:"IBM watsonx.ai",children:(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["For ",(0,s.jsx)(n.strong,{children:"watsonx.ai API Endpoint"}),", select the base URL for your watsonx.ai model deployment."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Enter your watsonx.ai deployment's project ID and API key."}),"\n",(0,s.jsxs)(n.p,{children:["You can enable ",(0,s.jsx)(n.strong,{children:"Use environment API key"})," to pull the key from your ",(0,s.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,s.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Under ",(0,s.jsx)(n.strong,{children:"Advanced settings"}),", select the language model that you want to use."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Complete"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Select a provider for embeddings, provide the required information, and then select the embedding model you want to use.\nFor information about another provider's credentials and settings, see the instructions for that provider."}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["After you configure the embedding model, OpenRAG uses your credentials and models to ingest some ",(0,s.jsx)(n.a,{href:"/knowledge#default-documents",children:"initial documents"}),". This tests the connection, and it allows you to ask OpenRAG about itself in the ",(0,s.jsx)(n.a,{href:"/chat",children:(0,s.jsx)(n.strong,{children:"Chat"})}),".\nIf there is a problem with the model configuration, an error occurs and you are redirected back to the application onboarding screen.\nVerify that the credentials are valid and have access to the selected model, and then click ",(0,s.jsx)(n.strong,{children:"Complete"})," to retry ingestion."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Continue through the overview slides for a brief introduction to OpenRAG, or click ",(0,s.jsx)(o.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Skip overview"}),".\nThe overview demonstrates some basic functionality that is covered in the ",(0,s.jsx)(n.a,{href:"/quickstart#chat-with-documents",children:"quickstart"})," and in other parts of the OpenRAG documentation."]}),"\n"]}),"\n"]})}),(0,s.jsxs)(l.A,{value:"Ollama",label:"Ollama",children:[(0,s.jsx)(n.p,{children:"Using Ollama as your language and embedding model provider offers greater flexibility and configuration options for hosting models.\nHowever, it requires additional setup because Ollama isn't included with OpenRAG.\nYou must deploy Ollama separately if you want to use Ollama as a model provider."}),(0,s.jsx)(n.admonition,{type:"info",children:(0,s.jsx)(a.Ay,{})}),(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.a,{href:"https://docs.ollama.com/",children:"Install Ollama locally or on a remote server"}),", or ",(0,s.jsx)(n.a,{href:"https://docs.ollama.com/cloud",children:"run models in Ollama Cloud"}),"."]}),"\n",(0,s.jsx)(n.p,{children:"If you are running a remote server, it must be accessible from your OpenRAG deployment."}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"In the OpenRAG onboarding dialog, enter your Ollama server's base URL:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Local Ollama server"}),": Enter your Ollama server's base URL and port. The default Ollama server address is ",(0,s.jsx)(n.code,{children:"http://localhost:11434"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Ollama Cloud"}),": Because Ollama Cloud models run at the same address as a local Ollama server and automatically offload to Ollama's cloud service, you can use the same base URL and port as you would for a local Ollama server. The default address is ",(0,s.jsx)(n.code,{children:"http://localhost:11434"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Remote server"}),": Enter your remote Ollama server's base URL and port, such as ",(0,s.jsx)(n.code,{children:"http://your-remote-server:11434"}),"."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Select the language model that your Ollama server is running."}),"\n",(0,s.jsx)(n.p,{children:"If your server isn't running any language models, you must either deploy a language model on your Ollama server, or use another provider for the language model."}),"\n",(0,s.jsx)(n.p,{children:"Language model and embedding model selections are independent.\nYou can use the same or different servers for each model."}),"\n",(0,s.jsx)(n.p,{children:"To use different providers for each model, you must configure both providers, and select the relevant model for each provider."}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Complete"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Select a provider for embeddings, provide the required information, and then select the embedding model you want to use.\nFor information about another provider's credentials and settings, see the instructions for that provider."}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Complete"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["After you configure the embedding model, OpenRAG uses your credentials and models to ingest some ",(0,s.jsx)(n.a,{href:"/knowledge#default-documents",children:"initial documents"}),". 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",(0,t.jsx)(n.code,{children:".env"})," file to configure your deployment using ",(0,t.jsx)(n.a,{href:"/reference/configuration",children:"OpenRAG environment variables"}),".\nThe OpenRAG Docker Compose files pull values from your ",(0,t.jsx)(n.code,{children:".env"})," file to configure the OpenRAG containers.\nThe following variables are required or recommended:"]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsxs)(n.strong,{children:[(0,t.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})," (Required)"]}),": Sets the OpenSearch administrator password. 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If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then the Langflow server starts without authentication enabled. For more information, see ",(0,t.jsx)(n.a,{href:"/reference/configuration#langflow-settings",children:"Langflow settings"}),"."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsxs)(n.strong,{children:[(0,t.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})," (Strongly recommended)"]}),": A secret encryption key for internal Langflow operations. It is recommended to ",(0,t.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key",children:"generate your own Langflow secret key"}),". If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})," isn't set, then Langflow generates a secret key automatically."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Model provider credentials"}),": Provide credentials for your preferred model providers. If none of these are set in the ",(0,t.jsx)(n.code,{children:".env"})," file, you must configure at least one provider during the ",(0,t.jsx)(n.a,{href:"#application-onboarding",children:"application onboarding process"}),"."]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.code,{children:"OPENAI_API_KEY"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.code,{children:"ANTHROPIC_API_KEY"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.code,{children:"OLLAMA_ENDPOINT"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.code,{children:"WATSONX_API_KEY"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.code,{children:"WATSONX_ENDPOINT"})}),"\n",(0,t.jsx)(n.li,{children:(0,t.jsx)(n.code,{children:"WATSONX_PROJECT_ID"})}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"OAuth provider credentials"}),": To upload documents from external storage, such as Google Drive, set the required OAuth credentials for the connectors that you want to use. You can ",(0,t.jsx)(n.a,{href:"/ingestion#oauth-ingestion",children:"manage OAuth credentials"})," later, but it is recommended to configure them during initial set up so you don't have to rebuild the containers."]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Google"}),": Provide your Google OAuth Client ID and Google OAuth Client Secret. You can generate these in the ",(0,t.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),". For more information, see the ",(0,t.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client documentation"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Microsoft"}),": For the Microsoft OAuth Client ID and Microsoft OAuth Client Secret, provide ",(0,t.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),". For more information, see the ",(0,t.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client documentation"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Amazon"}),": Provide your AWS Access Key ID and AWS Secret Access Key with access to your S3 instance. For more information, see the AWS documentation on ",(0,t.jsx)(n.a,{href:"https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html",children:"Configuring access to AWS applications"}),"."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,t.jsxs)(n.p,{children:["For more information and variables, see ",(0,t.jsx)(n.a,{href:"/reference/configuration",children:"OpenRAG environment variables"}),"."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.h2,{id:"start-services",children:"Start services"}),"\n",(0,t.jsxs)(n.ol,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["Start ",(0,t.jsx)(n.code,{children:"docling serve"})," on port 5001 on the host machine:"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py start --port 5001\n"})}),"\n",(0,t.jsxs)(n.p,{children:["Docling cannot run inside a Docker container due to system-level dependencies, so you must manage it as a separate service on the host machine.\nFor more information, see ",(0,t.jsx)(n.a,{href:"/manage-services#start-native-services",children:"Stop, start, and inspect native services"}),"."]}),"\n",(0,t.jsxs)(n.p,{children:["This port is required to deploy OpenRAG successfully; don't use a different port.\nAdditionally, this enables the ",(0,t.jsx)(n.a,{href:"https://opensource.apple.com/projects/mlx/",children:"MLX framework"})," for accelerated performance on Apple Silicon Mac machines."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["Confirm ",(0,t.jsx)(n.code,{children:"docling serve"})," is running."]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py status\n"})}),"\n",(0,t.jsxs)(n.p,{children:["If ",(0,t.jsx)(n.code,{children:"docling serve"})," is running, the output includes the status, address, and process ID (PID):"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"Status: running\nEndpoint: http://127.0.0.1:5001\nDocs: http://127.0.0.1:5001/docs\nPID: 27746\n"})}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsx)(n.p,{children:"Deploy the OpenRAG containers locally using the appropriate Docker Compose configuration for your environment:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"CPU-only deployment"})," (default, recommended): If your host machine doesn't have NVIDIA GPU support, use the base ",(0,t.jsx)(n.code,{children:"docker-compose.yml"})," file:"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Docker"',children:"docker compose up -d\n"})}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Podman"',children:"podman compose up -d\n"})}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"GPU-accelerated deployment"}),": If your host machine has an NVIDIA GPU with CUDA support and compatible NVIDIA drivers, use the base ",(0,t.jsx)(n.code,{children:"docker-compose.yml"})," file with the ",(0,t.jsx)(n.code,{children:"docker-compose.gpu.yml"})," override:"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Docker"',children:"docker compose -f docker-compose.yml -f docker-compose.gpu.yml up -d\n"})}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Podman"',children:"podman compose -f docker-compose.yml -f docker-compose.gpu.yml up -d\n"})}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.admonition,{type:"tip",children:(0,t.jsx)(u.Ay,{})}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsx)(n.p,{children:"Wait for the OpenRAG containers to start, and then confirm that all containers are running:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Docker"',children:"docker compose ps\n"})}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Podman"',children:"podman compose ps\n"})}),"\n",(0,t.jsx)(n.p,{children:"The OpenRAG Docker Compose files deploy the following containers:"}),"\n",(0,t.jsxs)(n.table,{children:[(0,t.jsx)(n.thead,{children:(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.th,{children:"Container Name"}),(0,t.jsx)(n.th,{children:"Default address"}),(0,t.jsx)(n.th,{children:"Purpose"})]})}),(0,t.jsxs)(n.tbody,{children:[(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"OpenRAG Backend"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.a,{href:"http://localhost:8000",children:"http://localhost:8000"})}),(0,t.jsx)(n.td,{children:"FastAPI server and core functionality."})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"OpenRAG Frontend"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.a,{href:"http://localhost:3000",children:"http://localhost:3000"})}),(0,t.jsx)(n.td,{children:"React web interface for user interaction."})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"Langflow"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.a,{href:"http://localhost:7860",children:"http://localhost:7860"})}),(0,t.jsxs)(n.td,{children:[(0,t.jsx)(n.a,{href:"/agents",children:"AI workflow engine"}),"."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"OpenSearch"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.a,{href:"http://localhost:9200",children:"http://localhost:9200"})}),(0,t.jsxs)(n.td,{children:["Datastore for ",(0,t.jsx)(n.a,{href:"/knowledge",children:"knowledge"}),"."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:"OpenSearch Dashboards"}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.a,{href:"http://localhost:5601",children:"http://localhost:5601"})}),(0,t.jsx)(n.td,{children:"OpenSearch database administration interface."})]})]})]}),"\n",(0,t.jsx)(n.p,{children:"When the containers are running, you can access your OpenRAG services at their addresses."}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["Access the OpenRAG frontend at ",(0,t.jsx)(n.code,{children:"http://localhost:3000"}),", and then continue with the ",(0,t.jsx)(n.a,{href:"#application-onboarding",children:"application onboarding process"}),"."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(i.Ay,{}),"\n",(0,t.jsx)(h.Ay,{})]})}function g(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(f,{...e})}):f(e)}},5818:(e,n,r)=>{r.d(n,{Ay:()=>l,RM:()=>o});var s=r(4848),t=r(8453);const o=[];function i(e){const n={code:"code",p:"p",...(0,t.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"GPU acceleration isn't required for most use cases.\nOpenRAG's CPU-only deployment doesn't prevent you from using GPU acceleration in external services, such as Ollama servers."}),"\n",(0,s.jsxs)(n.p,{children:["GPU acceleration is required only for specific use cases, typically involving customization of the ingestion flows or ingestion logic.\nFor example, writing alternate ingest logic in OpenRAG that uses GPUs directly in the container, or customizing the ingestion flows to use Langflow's Docling component with GPU acceleration instead of OpenRAG's ",(0,s.jsx)(n.code,{children:"docling serve"})," service."]})]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},6149:(e,n,r)=>{r.d(n,{Ay:()=>l,RM:()=>o});var s=r(4848),t=r(8453);const o=[];function i(e){const n={a:"a",li:"li",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["For Microsoft Windows, you must use the Windows Subsystem for Linux (WSL).\nSee ",(0,s.jsx)(n.a,{href:"/install-windows",children:"Install OpenRAG on Windows"})," before proceeding."]}),"\n"]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},9179:(e,n,r)=>{r.d(n,{A:()=>o});r(6540);var s=r(7856),t=r(4848);function o({name:e,...n}){const r=s[e];return r?(0,t.jsx)(r,{...n}):null}},9365:(e,n,r)=>{r.d(n,{A:()=>i});r(6540);var s=r(4164);const t={tabItem:"tabItem_Ymn6"};var o=r(4848);function i({children:e,hidden:n,className:r}){return(0,o.jsx)("div",{role:"tabpanel",className:(0,s.A)(t.tabItem,r),hidden:n,children:e})}}}]);
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+"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[2272],{309:(e,n,r)=>{r.d(n,{Ay:()=>l,RM:()=>o});var s=r(4848),t=r(8453);const o=[];function i(e){const n={a:"a",code:"code",li:"li",p:"p",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Install ",(0,s.jsx)(n.a,{href:"https://docs.astral.sh/uv/getting-started/installation/",children:"uv"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Install ",(0,s.jsx)(n.a,{href:"https://podman.io/docs/installation",children:"Podman"})," (recommended) or ",(0,s.jsx)(n.a,{href:"https://docs.docker.com/get-docker/",children:"Docker"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["The OpenRAG team recommends, at minimum, 8 GB of RAM for container VMs.\nHowever, if you plan to upload large files regularly, more RAM is recommended.\nFor more information, see ",(0,s.jsx)(n.a,{href:"/support/troubleshoot",children:"Troubleshoot OpenRAG"}),"."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Install ",(0,s.jsx)(n.a,{href:"https://docs.podman.io/en/latest/markdown/podman-compose.1.html",children:(0,s.jsx)(n.code,{children:"podman-compose"})})," or ",(0,s.jsx)(n.a,{href:"https://docs.docker.com/compose/install/",children:"Docker Compose"}),".\nTo use Docker Compose with Podman, you must alias Docker Compose commands to Podman commands."]}),"\n"]}),"\n"]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},887:(e,n,r)=>{r.d(n,{Ay:()=>h,RM:()=>c});var s=r(4848),t=r(8453),o=r(9179),i=r(1470),l=r(9365),a=r(3059);const c=[{value:"Complete the application onboarding process",id:"application-onboarding",level:2},...a.RM];function d(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",li:"li",ol:"ol",p:"p",strong:"strong",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.h2,{id:"application-onboarding",children:"Complete the application onboarding process"}),"\n",(0,s.jsxs)(n.p,{children:["The first time you start the OpenRAG application, you must complete the application onboarding process to select language and embedding models that are essential for OpenRAG features like the ",(0,s.jsx)(n.a,{href:"/chat",children:(0,s.jsx)(n.strong,{children:"Chat"})}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["Some of these variables, such as the embedding models, can be changed seamlessly after onboarding.\nOthers are immutable and require you to destroy and recreate the OpenRAG containers.\nFor more information, see the ",(0,s.jsx)(n.a,{href:"/reference/configuration",children:"OpenRAG environment variables reference"}),"."]}),"\n",(0,s.jsx)(n.p,{children:"You can use different providers for your language model and embedding model, such as Anthropic for the language model and OpenAI for the embedding model.\nAdditionally, you can set multiple embedding models."}),"\n",(0,s.jsx)(n.p,{children:"You only need to complete onboarding for your preferred providers."}),"\n",(0,s.jsxs)(i.A,{groupId:"Provider",children:[(0,s.jsxs)(l.A,{value:"Anthropic",label:"Anthropic",default:!0,children:[(0,s.jsx)(n.admonition,{type:"info",children:(0,s.jsx)(n.p,{children:"Anthropic doesn't provide embedding models. 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the types of tasks that OpenRAG performs, such as those that generate media."}),"\n",(0,s.jsx)(n.p,{children:"The OpenRAG team recommends the following models when using Ollama as your model provider:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"Language models"}),": ",(0,s.jsx)(n.code,{children:"gpt-oss:20b"})," or ",(0,s.jsx)(n.code,{children:"mistral-nemo:12b"}),"."]}),"\n",(0,s.jsxs)(n.p,{children:["If you choose ",(0,s.jsx)(n.code,{children:"gpt-oss:20b"}),", consider using Ollama Cloud or running Ollama on a remote machine because this model requires at least 16GB of RAM."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"Embedding models"}),": ",(0,s.jsx)(n.a,{href:"https://ollama.com/library/nomic-embed-text",children:(0,s.jsx)(n.code,{children:"nomic-embed-text:latest"})}),", ",(0,s.jsx)(n.code,{children:"mxbai-embed-large:latest"}),", or 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project ID, and IBM API key from your watsonx deployment."]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:[(0,s.jsx)(n.strong,{children:"Ollama"}),": Deploy an ",(0,s.jsx)(n.a,{href:"https://docs.ollama.com/",children:"Ollama instance and models"})," locally, in the cloud, or on a remote server. 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n={a:"a",li:"li",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["Install ",(0,s.jsx)(n.a,{href:"https://www.python.org/downloads/release/python-3100/",children:"Python"})," version 3.13 or later."]}),"\n"]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},5788:(e,n,r)=>{r.r(n),r.d(n,{assets:()=>x,contentTitle:()=>m,default:()=>g,frontMatter:()=>p,metadata:()=>s,toc:()=>j});const s=JSON.parse('{"id":"get-started/docker","title":"Deploy OpenRAG with self-managed services","description":"To manage your own OpenRAG services, deploy OpenRAG with Docker or Podman.","source":"@site/docs/get-started/docker.mdx","sourceDirName":"get-started","slug":"/docker","permalink":"/docker","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/docker.mdx","tags":[],"version":"current","frontMatter":{"title":"Deploy 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If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})," isn't set, then Langflow generates a secret key automatically."]}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"Model provider credentials"}),": Provide credentials for your preferred model providers. 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You can ",(0,t.jsx)(n.a,{href:"/ingestion#oauth-ingestion",children:"manage OAuth credentials"})," later, but it is recommended to configure them during initial set up so you don't have to rebuild the containers."]}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Google"}),": Provide your Google OAuth Client ID and Google OAuth Client Secret. You can generate these in the ",(0,t.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),". For more information, see the ",(0,t.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client documentation"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Microsoft"}),": For the Microsoft OAuth Client ID and Microsoft OAuth Client Secret, provide ",(0,t.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),". For more information, see the ",(0,t.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client documentation"}),"."]}),"\n",(0,t.jsxs)(n.li,{children:[(0,t.jsx)(n.strong,{children:"Amazon"}),": Provide your AWS Access Key ID and AWS Secret Access Key with access to your S3 instance. 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system-level dependencies, so you must manage it as a separate service on the host machine.\nFor more information, see ",(0,t.jsx)(n.a,{href:"/manage-services#start-native-services",children:"Stop, start, and inspect native services"}),"."]}),"\n",(0,t.jsxs)(n.p,{children:["Port 5001 is required to deploy OpenRAG successfully; don't use a different port.\nAdditionally, this enables the ",(0,t.jsx)(n.a,{href:"https://opensource.apple.com/projects/mlx/",children:"MLX framework"})," for accelerated performance on Apple Silicon Mac machines."]}),"\n",(0,t.jsx)(n.admonition,{type:"tip",children:(0,t.jsxs)(n.p,{children:["If you don't want to use the default Docling Serve implementation, see ",(0,t.jsx)(n.a,{href:"/knowledge#select-a-docling-implementation",children:"Select a Docling implementation"}),"."]})}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:["Confirm ",(0,t.jsx)(n.code,{children:"docling serve"})," is running."]}),"\n",(0,t.jsx)(n.p,{children:"The following command checks the status of the default Docling Serve implementation:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"uv run python scripts/docling_ctl.py status\n"})}),"\n",(0,t.jsxs)(n.p,{children:["If ",(0,t.jsx)(n.code,{children:"docling serve"})," is running, the output includes the status, address, and process ID (PID):"]}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",children:"Status: running\nEndpoint: http://127.0.0.1:5001\nDocs: http://127.0.0.1:5001/docs\nPID: 27746\n"})}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsx)(n.p,{children:"Deploy the OpenRAG containers locally using the appropriate Docker Compose configuration for your environment:"}),"\n",(0,t.jsxs)(n.ul,{children:["\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsxs)(n.p,{children:[(0,t.jsx)(n.strong,{children:"CPU-only deployment"})," (default, recommended): If your host machine doesn't have NVIDIA GPU support, use the base 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-d\n"})}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Podman"',children:"podman compose -f docker-compose.yml -f docker-compose.gpu.yml up -d\n"})}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(n.admonition,{type:"tip",children:(0,t.jsx)(u.Ay,{})}),"\n"]}),"\n",(0,t.jsxs)(n.li,{children:["\n",(0,t.jsx)(n.p,{children:"Wait for the OpenRAG containers to start, and then confirm that all containers are running:"}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Docker"',children:"docker compose ps\n"})}),"\n",(0,t.jsx)(n.pre,{children:(0,t.jsx)(n.code,{className:"language-bash",metastring:'title="Podman"',children:"podman compose ps\n"})}),"\n",(0,t.jsx)(n.p,{children:"The OpenRAG Docker Compose files deploy the following containers:"}),"\n",(0,t.jsxs)(n.table,{children:[(0,t.jsx)(n.thead,{children:(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.th,{children:"Container Name"}),(0,t.jsx)(n.th,{children:"Default 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process"}),"."]}),"\n"]}),"\n"]}),"\n",(0,t.jsx)(i.Ay,{}),"\n",(0,t.jsx)(h.Ay,{})]})}function g(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(f,{...e})}):f(e)}},5818:(e,n,r)=>{r.d(n,{Ay:()=>l,RM:()=>o});var s=r(4848),t=r(8453);const o=[];function i(e){const n={p:"p",...(0,t.R)(),...e.components};return(0,s.jsxs)(s.Fragment,{children:[(0,s.jsx)(n.p,{children:"GPU acceleration isn't required for most use cases.\nOpenRAG's CPU-only deployment doesn't prevent you from using GPU acceleration in external services, such as Ollama servers."}),"\n",(0,s.jsx)(n.p,{children:"GPU acceleration is required only for specific use cases, typically involving customization of the ingestion flows or ingestion logic.\nFor example, writing alternate ingest logic in OpenRAG that uses GPUs directly in the container, or customizing the ingestion flows to use Langflow's Docling component with GPU acceleration instead of OpenRAG's Docling Serve service."})]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},6149:(e,n,r)=>{r.d(n,{Ay:()=>l,RM:()=>o});var s=r(4848),t=r(8453);const o=[];function i(e){const n={a:"a",li:"li",ul:"ul",...(0,t.R)(),...e.components};return(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:["For Microsoft Windows, you must use the Windows Subsystem for Linux (WSL).\nSee ",(0,s.jsx)(n.a,{href:"/install-windows",children:"Install OpenRAG on Windows"})," before proceeding."]}),"\n"]})}function l(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(i,{...e})}):i(e)}},9179:(e,n,r)=>{r.d(n,{A:()=>o});r(6540);var s=r(7856),t=r(4848);function o({name:e,...n}){const r=s[e];return r?(0,t.jsx)(r,{...n}):null}},9365:(e,n,r)=>{r.d(n,{A:()=>i});r(6540);var s=r(4164);const t={tabItem:"tabItem_Ymn6"};var o=r(4848);function 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diff --git a/assets/js/af920ffe.fae170b0.js b/assets/js/af920ffe.3d835e3d.js
similarity index 76%
rename from assets/js/af920ffe.fae170b0.js
rename to assets/js/af920ffe.3d835e3d.js
index 1bbfdd22..ad6e2a90 100644
--- a/assets/js/af920ffe.fae170b0.js
+++ b/assets/js/af920ffe.3d835e3d.js
@@ -1 +1 @@
-"use strict";(globalThis.webpackChunkopenrag_docs=globalThis.webpackChunkopenrag_docs||[]).push([[98],{1260:(e,n,t)=>{t.r(n),t.d(n,{assets:()=>u,contentTitle:()=>h,default:()=>x,frontMatter:()=>d,metadata:()=>s,toc:()=>p});const s=JSON.parse('{"id":"get-started/quickstart","title":"Quickstart","description":"Use this quickstart to install OpenRAG, and then try some of OpenRAG\'s core features.","source":"@site/docs/get-started/quickstart.mdx","sourceDirName":"get-started","slug":"/quickstart","permalink":"/quickstart","draft":false,"unlisted":false,"editUrl":"https://github.com/openrag/openrag/tree/main/docs/docs/get-started/quickstart.mdx","tags":[],"version":"current","frontMatter":{"title":"Quickstart","slug":"/quickstart"},"sidebar":"tutorialSidebar","previous":{"title":"About OpenRAG","permalink":"/"},"next":{"title":"Select an installation method","permalink":"/install-options"}}');var r=t(4848),i=t(8453),a=t(9179),o=(t(1470),t(9365),t(7224)),l=t(6149),c=t(4042);const d={title:"Quickstart",slug:"/quickstart"},h=void 0,u={},p=[{value:"Prerequisites",id:"prerequisites",level:2},...c.RM,...l.RM,{value:"Install OpenRAG",id:"install-openrag",level:2},{value:"Load and chat with documents",id:"chat-with-documents",level:2},{value:"Change the language model and chat settings",id:"change-components",level:2},{value:"Integrate OpenRAG into an application",id:"integrate-openrag-into-an-application",level:2},...o.RM,{value:"Next steps",id:"next-steps",level:2}];function g(e){const n={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.p,{children:"Use this quickstart to install OpenRAG, and then try some of OpenRAG's core features."}),"\n",(0,r.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsx)(c.Ay,{}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Get an ",(0,r.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"}),".\nThis quickstart uses OpenAI for simplicity.\nFor other providers, see the other ",(0,r.jsx)(n.a,{href:"/install-options",children:"installation methods"}),"."]}),"\n"]}),"\n",(0,r.jsx)(l.Ay,{}),"\n",(0,r.jsx)(n.h2,{id:"install-openrag",children:"Install OpenRAG"}),"\n",(0,r.jsxs)(n.p,{children:["For this quickstart, install OpenRAG with the automatic installer script and basic setup.\nThe script installs OpenRAG dependencies, including Docker or Podman, and then it installs and runs OpenRAG with ",(0,r.jsx)(n.a,{href:"https://docs.astral.sh/uv/guides/tools/#running-tools",children:(0,r.jsx)(n.code,{children:"uvx"})}),"."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a directory for your OpenRAG installation, and then change to that directory:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"mkdir openrag-workspace\ncd openrag-workspace\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"https://docs.openr.ag/files/run_openrag_with_prereqs.sh",children:"Download the OpenRAG install script"}),", move it to your OpenRAG directory, and then run it:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"bash run_openrag_with_prereqs.sh\n"})}),"\n",(0,r.jsx)(n.p,{children:"Wait while the installer script prepares your environment and installs OpenRAG.\nYou might be prompted to install certain dependencies if they aren't already present in your environment."}),"\n",(0,r.jsxs)(n.p,{children:["The entire process can take a few minutes.\nOnce the environment is ready, the OpenRAG ",(0,r.jsx)(n.a,{href:"/tui",children:"Terminal User Interface (TUI)"})," starts."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"OpenRAG TUI Interface",src:t(3929).A+"",width:"653",height:"397"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the TUI, click ",(0,r.jsx)(n.strong,{children:"Basic Setup"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For ",(0,r.jsx)(n.strong,{children:"Langflow Admin Password"}),", click ",(0,r.jsx)(n.strong,{children:"Generate Password"})," to create a Langflow administrator password and username."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Use the default values for all other fields."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Configuration"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["Your OpenRAG configuration and passwords are stored in an ",(0,r.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,r.jsx)(n.code,{children:".env"})," file"]})," file that is created automatically at ",(0,r.jsx)(n.code,{children:"~/.openrag/tui"}),".\nOpenRAG container definitions are stored in the ",(0,r.jsx)(n.code,{children:"docker-compose"})," files in the same directory."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Start OpenRAG"})," to start the OpenRAG services."]}),"\n",(0,r.jsx)(n.p,{children:"This process can take some time while OpenRAG pulls and runs the container images.\nIf all services start successfully, the TUI prints a confirmation message:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-text",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Close"}),", and then click ",(0,r.jsx)(n.strong,{children:"Launch OpenRAG"})," to access the OpenRAG application and start the application onboarding process."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For this quickstart, select the ",(0,r.jsx)(n.strong,{children:"OpenAI"})," model provider, enter your OpenAI API key, and then click ",(0,r.jsx)(n.strong,{children:"Complete"}),". Use the default settings for all other model options."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click through the overview slides for a brief introduction to OpenRAG, or click ",(0,r.jsx)(a.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Skip overview"}),".\nYou can complete this quickstart without going through the overview.\nThe overview demonstrates some basic functionality that is covered in the next section and in other parts of the OpenRAG documentation."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"chat-with-documents",children:"Load and chat with documents"}),"\n",(0,r.jsxs)(n.p,{children:["Use the ",(0,r.jsxs)(n.a,{href:"/chat",children:["OpenRAG ",(0,r.jsx)(n.strong,{children:"Chat"})]})," to explore the documents in your OpenRAG database using natural language queries.\nSome documents are included by default to get you started, and you can load your own documents."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In OpenRAG, click ",(0,r.jsx)(a.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Chat"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For this quickstart, ask the agent what documents are available.\nFor example: ",(0,r.jsx)(n.code,{children:"What documents are available to you?"})]}),"\n",(0,r.jsx)(n.p,{children:"The agent responds with a summary of OpenRAG's default documents."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To verify the agent's response, click ",(0,r.jsx)(a.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"})," to view the documents stored in the OpenRAG OpenSearch database.\nYou can click a document to view the chunks of the document as they are stored in the database."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Add Knowledge"})," to add your own documents to your OpenRAG knowledge base."]}),"\n",(0,r.jsxs)(n.p,{children:["For this quickstart, use either the ",(0,r.jsx)(a.A,{name:"File","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"File"})," or ",(0,r.jsx)(a.A,{name:"Folder","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Folder"})," upload options to load documents from your local machine.\n",(0,r.jsx)(n.strong,{children:"Folder"})," uploads an entire directory.\nThe default directory is ",(0,r.jsx)(n.code,{children:"~/.openrag/documents"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["For information about the cloud storage provider options, see ",(0,r.jsx)(n.a,{href:"/ingestion#oauth-ingestion",children:"Ingest files with OAuth connectors"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Return to the ",(0,r.jsx)(n.strong,{children:"Chat"})," window, and then ask a question related to the documents that you just uploaded."]}),"\n",(0,r.jsx)(n.p,{children:"If the agent's response doesn't seem to reference your documents correctly, try the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(a.A,{name:"Gear","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Function Call: search_documents (tool_call)"})," to view the log of tool calls made by the agent. This is helpful for troubleshooting because it shows you how the agent used particular tools."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(a.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"})," to confirm that the documents are present in the OpenRAG OpenSearch database, and then click each document to see how the document was chunked.\nIf a document was chunked improperly, you might need to tweak the ingestion or modify and reupload the document."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(a.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"})," to modify the knowledge ingestion settings."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["For more information, see ",(0,r.jsx)(n.a,{href:"/knowledge",children:"Configure knowledge"})," and ",(0,r.jsx)(n.a,{href:"/ingestion",children:"Ingest knowledge"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"change-components",children:"Change the language model and chat settings"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To change the knowledge ingestion settings, agent behavior, or language model, click ",(0,r.jsx)(a.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Settings"})," page provides quick access to commonly used parameters like the ",(0,r.jsx)(n.strong,{children:"Language model"})," and ",(0,r.jsx)(n.strong,{children:"Agent Instructions"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For greater insight into the underlying ",(0,r.jsx)(n.a,{href:"/agents",children:"Langflow flow"})," that drives the OpenRAG chat, click ",(0,r.jsx)(n.strong,{children:"Edit in Langflow"})," and then click ",(0,r.jsx)(n.strong,{children:"Proceed"})," to launch the Langflow visual editor in a new browser window."]}),"\n",(0,r.jsxs)(n.p,{children:["If Langflow requests login information, enter the ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," and ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," from the ",(0,r.jsx)(n.code,{children:".env"})," file at ",(0,r.jsx)(n.code,{children:"~/.openrag/tui"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow opens in a new browser window."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"OpenRAG OpenSearch Agent flow",src:t(3982).A+"",width:"4084",height:"2176"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For this quickstart, try changing the model.\nClick the ",(0,r.jsx)(n.strong,{children:"Language Model"})," component, and then change the ",(0,r.jsx)(n.strong,{children:"Model Name"})," to a different OpenAI model."]}),"\n",(0,r.jsxs)(n.p,{children:["After you edit a built-in flow, you can click ",(0,r.jsx)(n.strong,{children:"Restore flow"})," on the ",(0,r.jsx)(n.strong,{children:"Settings"})," page to revert the flow to its original state when you first installed OpenRAG."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Press ",(0,r.jsx)("kbd",{children:"Command"}),"+",(0,r.jsx)("kbd",{children:"S"})," (",(0,r.jsx)("kbd",{children:"Ctrl"}),"+",(0,r.jsx)("kbd",{children:"S"}),") to save your changes."]}),"\n",(0,r.jsx)(n.p,{children:"You can close the Langflow browser window, or leave it open if you want to continue experimenting with the flow editor."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Switch to your OpenRAG browser window, and then click ",(0,r.jsx)(a.A,{name:"Plus","aria-hidden":"true"})," in the ",(0,r.jsx)(n.strong,{children:"Conversations"})," tab to start a new conversation.\nThis ensures that the chat doesn't persist any context from the previous conversation with the original model."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Ask the same question you asked in ",(0,r.jsx)(n.a,{href:"#chat-with-documents",children:"Load and chat with documents"})," to see how the response differs from the original model."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"integrate-openrag-into-an-application",children:"Integrate OpenRAG into an application"}),"\n",(0,r.jsxs)(n.p,{children:["Langflow in OpenRAG includes pre-built flows that you can integrate into your applications using the ",(0,r.jsx)(n.a,{href:"https://docs.langflow.org/api-reference-api-examples",children:"Langflow API"}),".\nYou can use these flows as-is or modify them to better suit your needs, as demonstrated in ",(0,r.jsx)(n.a,{href:"#change-components",children:"Change the language model and chat settings"}),"."]}),"\n",(0,r.jsx)(n.p,{children:"You can send and receive requests with the Langflow API using Python, TypeScript, or curl."}),"\n",(0,r.jsx)(o.Ay,{}),"\n",(0,r.jsx)(n.h2,{id:"next-steps",children:"Next steps"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Reinstall OpenRAG with your preferred settings"}),": This quickstart used ",(0,r.jsx)(n.code,{children:"uvx"})," and a minimal setup to demonstrate OpenRAG's core functionality.\nIt is recommended that you ",(0,r.jsx)(n.a,{href:"/reinstall",children:"reinstall OpenRAG"})," with your preferred configuration and ",(0,r.jsx)(n.a,{href:"/install-options",children:"installation method"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Learn more about OpenRAG"}),": Explore OpenRAG and the OpenRAG documentation to learn more about its features and functionality."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.strong,{children:"Learn more about 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d={title:"Quickstart",slug:"/quickstart"},h=void 0,u={},p=[{value:"Prerequisites",id:"prerequisites",level:2},...c.RM,...l.RM,{value:"Install OpenRAG",id:"install-openrag",level:2},{value:"Load and chat with documents",id:"chat-with-documents",level:2},{value:"Change the language model and chat settings",id:"change-components",level:2},{value:"Integrate OpenRAG into an application",id:"integrate-openrag-into-an-application",level:2},...o.RM,{value:"Next steps",id:"next-steps",level:2}];function g(e){const n={a:"a",code:"code",h2:"h2",img:"img",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,i.R)(),...e.components};return(0,r.jsxs)(r.Fragment,{children:[(0,r.jsx)(n.p,{children:"Use this quickstart to install OpenRAG, and then try some of OpenRAG's core features."}),"\n",(0,r.jsx)(n.h2,{id:"prerequisites",children:"Prerequisites"}),"\n",(0,r.jsx)(c.Ay,{}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["Get an ",(0,r.jsx)(n.a,{href:"https://platform.openai.com/api-keys",children:"OpenAI API key"}),".\nThis quickstart uses OpenAI for simplicity.\nFor other providers, see the other ",(0,r.jsx)(n.a,{href:"/install-options",children:"installation methods"}),"."]}),"\n"]}),"\n",(0,r.jsx)(l.Ay,{}),"\n",(0,r.jsx)(n.h2,{id:"install-openrag",children:"Install OpenRAG"}),"\n",(0,r.jsxs)(n.p,{children:["For this quickstart, install OpenRAG with the automatic installer script and basic setup.\nThe script installs OpenRAG dependencies, including Docker or Podman, and then it installs and runs OpenRAG with ",(0,r.jsx)(n.a,{href:"https://docs.astral.sh/uv/guides/tools/#running-tools",children:(0,r.jsx)(n.code,{children:"uvx"})}),"."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Create a directory for your OpenRAG installation, and then change to that directory:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"mkdir openrag-workspace\ncd openrag-workspace\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:[(0,r.jsx)(n.a,{href:"https://docs.openr.ag/files/run_openrag_with_prereqs.sh",children:"Download the OpenRAG install script"}),", move it to your OpenRAG directory, and then run it:"]}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-bash",children:"bash run_openrag_with_prereqs.sh\n"})}),"\n",(0,r.jsx)(n.p,{children:"Wait while the installer script prepares your environment and installs OpenRAG.\nYou might be prompted to install certain dependencies if they aren't already present in your environment."}),"\n",(0,r.jsxs)(n.p,{children:["The entire process can take a few minutes.\nOnce the environment is ready, the OpenRAG ",(0,r.jsx)(n.a,{href:"/tui",children:"Terminal User Interface (TUI)"})," starts."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"OpenRAG TUI Interface",src:t(3929).A+"",width:"653",height:"397"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In the TUI, click ",(0,r.jsx)(n.strong,{children:"Basic Setup"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For ",(0,r.jsx)(n.strong,{children:"Langflow Admin Password"}),", click ",(0,r.jsx)(n.strong,{children:"Generate Password"})," to create a Langflow administrator password and username."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsx)(n.p,{children:"Use the default values for all other fields."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Save Configuration"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["Your OpenRAG configuration and passwords are stored in an ",(0,r.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,r.jsx)(n.code,{children:".env"})," file"]})," file that is created automatically at ",(0,r.jsx)(n.code,{children:"~/.openrag/tui"}),".\nOpenRAG container definitions are stored in the ",(0,r.jsx)(n.code,{children:"docker-compose"})," files in the same directory."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Start OpenRAG"})," to start the OpenRAG services."]}),"\n",(0,r.jsx)(n.p,{children:"This process can take some time while OpenRAG pulls and runs the container images.\nIf all services start successfully, the TUI prints a confirmation message:"}),"\n",(0,r.jsx)(n.pre,{children:(0,r.jsx)(n.code,{className:"language-text",children:"Services started successfully\nCommand completed successfully\n"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Close"}),", and then click ",(0,r.jsx)(n.strong,{children:"Launch OpenRAG"})," to access the OpenRAG application and start the application onboarding process."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For this quickstart, select the ",(0,r.jsx)(n.strong,{children:"OpenAI"})," model provider, enter your OpenAI API key, and then click ",(0,r.jsx)(n.strong,{children:"Complete"}),". Use the default settings for all other model options."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click through the overview slides for a brief introduction to OpenRAG, or click ",(0,r.jsx)(a.A,{name:"ArrowRight","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Skip overview"}),".\nYou can complete this quickstart without going through the overview.\nThe overview demonstrates some basic functionality that is covered in the next section and in other parts of the OpenRAG documentation."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"chat-with-documents",children:"Load and chat with documents"}),"\n",(0,r.jsxs)(n.p,{children:["Use the ",(0,r.jsxs)(n.a,{href:"/chat",children:["OpenRAG ",(0,r.jsx)(n.strong,{children:"Chat"})]})," to explore the documents in your OpenRAG database using natural language queries.\nSome documents are included by default to get you started, and you can load your own documents."]}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["In OpenRAG, click ",(0,r.jsx)(a.A,{name:"MessageSquare","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Chat"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For this quickstart, ask the agent what documents are available.\nFor example: ",(0,r.jsx)(n.code,{children:"What documents are available to you?"})]}),"\n",(0,r.jsx)(n.p,{children:"The agent responds with a summary of OpenRAG's default documents."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To verify the agent's response, click ",(0,r.jsx)(a.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"})," to view the documents stored in the OpenRAG OpenSearch database.\nYou can click a document to view the chunks of the document as they are stored in the database."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(n.strong,{children:"Add Knowledge"})," to add your own documents to your OpenRAG knowledge base."]}),"\n",(0,r.jsxs)(n.p,{children:["For this quickstart, use either the ",(0,r.jsx)(a.A,{name:"File","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"File"})," or ",(0,r.jsx)(a.A,{name:"Folder","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Folder"})," upload options to load documents from your local machine.\n",(0,r.jsx)(n.strong,{children:"Folder"})," uploads an entire directory.\nThe default directory is ",(0,r.jsx)(n.code,{children:"~/.openrag/documents"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["For information about the cloud storage provider options, see ",(0,r.jsx)(n.a,{href:"/ingestion#oauth-ingestion",children:"Ingest files with OAuth connectors"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Return to the ",(0,r.jsx)(n.strong,{children:"Chat"})," window, and then ask a question related to the documents that you just uploaded."]}),"\n",(0,r.jsx)(n.p,{children:"If the agent's response doesn't seem to reference your documents correctly, try the following:"}),"\n",(0,r.jsxs)(n.ul,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(a.A,{name:"Gear","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Function Call: search_documents (tool_call)"})," to view the log of tool calls made by the agent. This is helpful for troubleshooting because it shows you how the agent used particular tools."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(a.A,{name:"Library","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Knowledge"})," to confirm that the documents are present in the OpenRAG OpenSearch database, and then click each document to see how the document was chunked.\nIf a document was chunked improperly, you might need to tweak the ingestion or modify and reupload the document."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Click ",(0,r.jsx)(a.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"})," to modify the knowledge ingestion settings."]}),"\n"]}),"\n"]}),"\n",(0,r.jsxs)(n.p,{children:["For more information, see ",(0,r.jsx)(n.a,{href:"/knowledge",children:"Configure knowledge"})," and ",(0,r.jsx)(n.a,{href:"/ingestion",children:"Ingest knowledge"}),"."]}),"\n"]}),"\n"]}),"\n",(0,r.jsx)(n.h2,{id:"change-components",children:"Change the language model and chat settings"}),"\n",(0,r.jsxs)(n.ol,{children:["\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["To change the knowledge ingestion settings, agent behavior, or language model, click ",(0,r.jsx)(a.A,{name:"Settings2","aria-hidden":"true"})," ",(0,r.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"Settings"})," page provides quick access to commonly used parameters like the ",(0,r.jsx)(n.strong,{children:"Language model"})," and ",(0,r.jsx)(n.strong,{children:"Agent Instructions"}),"."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For greater insight into the underlying ",(0,r.jsx)(n.a,{href:"/agents",children:"Langflow flow"})," that drives the OpenRAG chat, click ",(0,r.jsx)(n.strong,{children:"Edit in Langflow"})," and then click ",(0,r.jsx)(n.strong,{children:"Proceed"})," to launch the Langflow visual editor in a new browser window."]}),"\n",(0,r.jsxs)(n.p,{children:["If Langflow requests login information, enter the ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})," and ",(0,r.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," from the ",(0,r.jsx)(n.code,{children:".env"})," file at ",(0,r.jsx)(n.code,{children:"~/.openrag/tui"}),"."]}),"\n",(0,r.jsxs)(n.p,{children:["The ",(0,r.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow opens in a new browser window."]}),"\n",(0,r.jsx)(n.p,{children:(0,r.jsx)(n.img,{alt:"OpenRAG OpenSearch Agent flow",src:t(3982).A+"",width:"4084",height:"2176"})}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["For this quickstart, try changing the model.\nClick the ",(0,r.jsx)(n.strong,{children:"Language Model"})," component, and then change the ",(0,r.jsx)(n.strong,{children:"Model Name"})," to a different OpenAI model."]}),"\n",(0,r.jsxs)(n.p,{children:["After you edit a built-in flow, you can click ",(0,r.jsx)(n.strong,{children:"Restore flow"})," on the ",(0,r.jsx)(n.strong,{children:"Settings"})," page to revert the flow to its original state when you first installed OpenRAG."]}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Press ",(0,r.jsx)("kbd",{children:"Command"}),"+",(0,r.jsx)("kbd",{children:"S"})," (",(0,r.jsx)("kbd",{children:"Ctrl"}),"+",(0,r.jsx)("kbd",{children:"S"}),") to save your changes."]}),"\n",(0,r.jsx)(n.p,{children:"You can close the Langflow browser window, or leave it open if you want to continue experimenting with the flow editor."}),"\n"]}),"\n",(0,r.jsxs)(n.li,{children:["\n",(0,r.jsxs)(n.p,{children:["Switch to your OpenRAG browser window, and then click ",(0,r.jsx)(a.A,{name:"Plus","aria-hidden":"true"})," in the ",(0,r.jsx)(n.strong,{children:"Conversations"})," tab to start a new conversation.\nThis ensures that the chat doesn't 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it is only for authenticating with the Langflow API."]}),"\n",(0,s.jsxs)(n.ol,{children:["\n",(0,s.jsxs)(n.li,{children:["In the Langflow visual editor, click your user icon in the header, and then select ",(0,s.jsx)(n.strong,{children:"Settings"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Click ",(0,s.jsx)(n.strong,{children:"Langflow API Keys"}),", and then click ",(0,s.jsx)(i.A,{name:"Plus","aria-hidden":"true"})," ",(0,s.jsx)(n.strong,{children:"Add New"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:["Name your key, and then click ",(0,s.jsx)(n.strong,{children:"Create API Key"}),"."]}),"\n",(0,s.jsx)(n.li,{children:"Copy the API key and store it securely."}),"\n",(0,s.jsxs)(n.li,{children:["Exit the Langflow ",(0,s.jsx)(n.strong,{children:"Settings"})," page to return to the visual editor."]}),"\n"]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsxs)(n.p,{children:["Click ",(0,s.jsx)(n.strong,{children:"Share"}),", and then select ",(0,s.jsx)(n.strong,{children:"API access"})," to get pregenerated code snippets that call the Langflow API and run the flow."]}),"\n",(0,s.jsxs)(n.p,{children:["These code snippets construct API requests with your Langflow server URL (",(0,s.jsx)(n.code,{children:"LANGFLOW_SERVER_ADDRESS"}),"), the flow to run (",(0,s.jsx)(n.code,{children:"FLOW_ID"}),"), required headers (",(0,s.jsx)(n.code,{children:"LANGFLOW_API_KEY"}),", ",(0,s.jsx)(n.code,{children:"Content-Type"}),"), and a payload containing the required inputs to run the flow, including a default chat input message."]}),"\n",(0,s.jsx)(n.p,{children:"In production, you would modify the inputs to suit your application logic. For example, you could replace the default chat input message with dynamic user input."}),"\n",(0,s.jsxs)(a.A,{children:[(0,s.jsx)(o.A,{value:"python",label:"Python",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-python",children:'import requests\nimport os\nimport uuid\n\napi_key = \'LANGFLOW_API_KEY\'\nurl = "http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID"  # The complete API endpoint URL for this flow\n\n# Request payload configuration\npayload = {\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n}\npayload["session_id"] = str(uuid.uuid4())\n\nheaders = {"x-api-key": api_key}\n\ntry:\n    # Send API request\n    response = requests.request("POST", url, json=payload, headers=headers)\n    response.raise_for_status()  # Raise exception for bad status codes\n\n    # Print response\n    print(response.text)\n\nexcept requests.exceptions.RequestException as e:\n    print(f"Error making API request: {e}")\nexcept ValueError as e:\n    print(f"Error parsing response: {e}")\n'})})}),(0,s.jsx)(o.A,{value:"typescript",label:"TypeScript",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-typescript",children:'const crypto = require(\'crypto\');\nconst apiKey = \'LANGFLOW_API_KEY\';\nconst payload = {\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n};\npayload.session_id = crypto.randomUUID();\n\nconst options = {\n    method: \'POST\',\n    headers: {\n        \'Content-Type\': \'application/json\',\n        "x-api-key": apiKey\n    },\n    body: JSON.stringify(payload)\n};\n\nfetch(\'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID\', options)\n    .then(response => response.json())\n    .then(response => console.warn(response))\n    .catch(err => console.error(err));\n'})})}),(0,s.jsx)(o.A,{value:"curl",label:"curl",children:(0,s.jsx)(n.pre,{children:(0,s.jsx)(n.code,{className:"language-bash",children:'curl --request POST \\\n  --url \'http://LANGFLOW_SERVER_ADDRESS/api/v1/run/FLOW_ID?stream=false\' \\\n  --header \'Content-Type: application/json\' \\\n  --header "x-api-key: LANGFLOW_API_KEY" \\\n  --data \'{\n    "output_type": "chat",\n    "input_type": "chat",\n    "input_value": "hello world!"\n  }\'\n'})})})]}),"\n"]}),"\n",(0,s.jsxs)(n.li,{children:["\n",(0,s.jsx)(n.p,{children:"Copy your preferred snippet, and then run it:"}),"\n",(0,s.jsxs)(n.ul,{children:["\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"Python"}),": Paste the snippet into a ",(0,s.jsx)(n.code,{children:".py"})," file, save it, and then run it with ",(0,s.jsx)(n.code,{children:"python filename.py"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"TypeScript"}),": Paste the snippet into a ",(0,s.jsx)(n.code,{children:".ts"})," file, save it, and then run it with ",(0,s.jsx)(n.code,{children:"ts-node filename.ts"}),"."]}),"\n",(0,s.jsxs)(n.li,{children:[(0,s.jsx)(n.strong,{children:"curl"}),": Paste and run snippet directly in your terminal."]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,s.jsx)(n.p,{children:"If the request is successful, the response includes many details about the flow run, including the session ID, inputs, outputs, components, durations, and more."}),"\n",(0,s.jsxs)(n.p,{children:["In production, you won't pass the raw response to the user in its entirety.\nInstead, you extract and reformat relevant fields for different use cases, as demonstrated in the ",(0,s.jsx)(n.a,{href:"https://docs.langflow.org/get-started-quickstart#extract-data-from-the-response",children:"Langflow quickstart"}),".\nFor example, you could pass the chat output text to a front-end user-facing application, and store specific fields in logs and backend data stores for monitoring, chat history, or analytics.\nYou could also pass the output from one flow as input to another flow."]})]})}function d(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,s.jsx)(n,{...e,children:(0,s.jsx)(c,{...e})}):c(e)}},9179:(e,n,t)=>{t.d(n,{A:()=>i});t(6540);var s=t(7856),r=t(4848);function i({name:e,...n}){const t=s[e];return t?(0,r.jsx)(t,{...n}):null}},9365:(e,n,t)=>{t.d(n,{A:()=>a});t(6540);var s=t(4164);const r={tabItem:"tabItem_Ymn6"};var i=t(4848);function a({children:e,hidden:n,className:t}){return(0,i.jsx)("div",{role:"tabpanel",className:(0,s.A)(r.tabItem,t),hidden:n,children:e})}}}]);
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deleted file mode 100644
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d={title:"Environment variables",slug:"/reference/configuration"},l=void 0,c={},o=[{value:"Edit the <code>.env</code> file",id:"set-environment-variables",level:2},{value:"Model provider settings",id:"model-provider-settings",level:2},{value:"Document processing settings",id:"document-processing-settings",level:2},{value:"Langflow settings",id:"langflow-settings",level:2},{value:"OAuth provider settings",id:"oauth-provider-settings",level:2},{value:"OpenSearch settings",id:"opensearch-settings",level:2},{value:"System settings",id:"system-settings",level:2}];function a(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",li:"li",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,t.R)(),...e.components};return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsxs)(n.p,{children:["OpenRAG's ",(0,i.jsx)(n.code,{children:".env"})," file is the primary configuration file for OpenRAG.\nEnvironment variables in ",(0,i.jsx)(n.code,{children:".env"})," always take precedence over other sources."]}),"\n",(0,i.jsxs)(n.p,{children:["For deployments managed with the Terminal User Interface (TUI), this file is located at ",(0,i.jsx)(n.code,{children:"~/.openrag/tui"}),", and it can be created automatically during ",(0,i.jsx)(n.a,{href:"/install-options",children:"installation"}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["For ",(0,i.jsx)(n.a,{href:"/docker",children:"self-managed deployments"}),", this file can be located at the root of your OpenRAG project directory or referenced from another location."]}),"\n",(0,i.jsxs)(n.p,{children:["For an example, see ",(0,i.jsxs)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/.env.example",children:[(0,i.jsx)(n.code,{children:".env.example"})," in the OpenRAG repository"]}),"."]}),"\n",(0,i.jsx)(n.admonition,{type:"tip",children:(0,i.jsxs)(n.p,{children:["OpenRAG's Docker Compose files are populated automatically using values from the ",(0,i.jsx)(n.code,{children:".env"})," file, so you don't need to edit the Docker Compose files manually."]})}),"\n",(0,i.jsxs)(n.p,{children:["If a variable isn't set, OpenRAG uses default or fallback values where available.\nNot all variables have default values, and errors can occur if required variables aren't set.\nDefault values can be found in the reference tables on this page and in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/config/config_manager.py",children:(0,i.jsx)(n.code,{children:"config_manager.py"})}),", ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/config/settings.py",children:(0,i.jsx)(n.code,{children:"settings.py"})}),", and ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/utils/logging_config.py",children:(0,i.jsx)(n.code,{children:"logging_config.py"})}),"."]}),"\n",(0,i.jsxs)(n.p,{children:["You can 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file:"]}),"\n",(0,i.jsxs)(n.ul,{children:["\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Mutable environment variables"}),": You can apply changes to mutable environment variables by ",(0,i.jsx)(n.a,{href:"/manage-services",children:"stopping and restarting the OpenRAG services"})," after editing the ",(0,i.jsx)(n.code,{children:".env"})," file."]}),"\n"]}),"\n",(0,i.jsxs)(n.li,{children:["\n",(0,i.jsxs)(n.p,{children:[(0,i.jsx)(n.strong,{children:"Immutable environment variables"}),": You must ",(0,i.jsx)(n.a,{href:"/reinstall",children:"redeploy OpenRAG"})," with your modified ",(0,i.jsx)(n.code,{children:".env"})," file if you change immutable environment variables."]}),"\n"]}),"\n"]}),"\n",(0,i.jsx)(n.h2,{id:"model-provider-settings",children:"Model provider settings"}),"\n",(0,i.jsx)(n.p,{children:"Configure which models and providers OpenRAG uses to generate text and embeddings.\nYou only need to provide credentials for the providers you are using in OpenRAG."}),"\n",(0,i.jsxs)(n.p,{children:["These variables are initially set during the ",(0,i.jsx)(n.a,{href:"/install#application-onboarding",children:"application onboarding process"}),".\nSome of these variables are immutable and can only be changed by redeploying OpenRAG, as explained in ",(0,i.jsx)(n.a,{href:"#set-environment-variables",children:"Set environment variables"}),"."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"EMBEDDING_MODEL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"text-embedding-3-small"})}),(0,i.jsx)(n.td,{children:"Embedding model for generating vector embeddings for documents in the knowledge base and similarity search queries. Can be changed after the application onboarding process. Accepts one or more models."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LLM_MODEL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"gpt-4o-mini"})}),(0,i.jsxs)(n.td,{children:["Language model for language processing and text generation in the ",(0,i.jsx)(n.strong,{children:"Chat"})," feature."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"MODEL_PROVIDER"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"openai"})}),(0,i.jsxs)(n.td,{children:["Model provider, as one of ",(0,i.jsx)(n.code,{children:"openai"}),", ",(0,i.jsx)(n.code,{children:"watsonx"}),", ",(0,i.jsx)(n.code,{children:"ollama"}),", or ",(0,i.jsx)(n.code,{children:"anthropic"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"ANTHROPIC_API_KEY"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"API key for the Anthropic language model provider."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENAI_API_KEY"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"API key for the OpenAI model provider, which is also the default model provider."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OLLAMA_ENDPOINT"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"Custom provider endpoint for the Ollama model provider."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"WATSONX_API_KEY"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"API key for the IBM watsonx.ai model provider."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"WATSONX_ENDPOINT"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"Custom provider endpoint for the IBM watsonx.ai model provider."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"WATSONX_PROJECT_ID"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"Project ID for the IBM watsonx.ai model provider."})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"document-processing-settings",children:"Document processing settings"}),"\n",(0,i.jsxs)(n.p,{children:["Control how OpenRAG ",(0,i.jsx)(n.a,{href:"/ingestion",children:"processes and ingests documents"})," into your knowledge base."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"CHUNK_OVERLAP"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"200"})}),(0,i.jsx)(n.td,{children:"Overlap between chunks."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"CHUNK_SIZE"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"1000"})}),(0,i.jsx)(n.td,{children:"Text chunk size for document processing."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"DISABLE_INGEST_WITH_LANGFLOW"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"false"})}),(0,i.jsx)(n.td,{children:"Disable Langflow ingestion pipeline."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"DOCLING_OCR_ENGINE"})}),(0,i.jsx)(n.td,{children:"Set by OS"}),(0,i.jsxs)(n.td,{children:["OCR engine for document processing. For macOS, ",(0,i.jsx)(n.code,{children:"ocrmac"}),". For any other OS, ",(0,i.jsx)(n.code,{children:"easyocr"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OCR_ENABLED"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"false"})}),(0,i.jsx)(n.td,{children:"Enable OCR for image processing."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENRAG_DOCUMENTS_PATH"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"~/.openrag/documents"})}),(0,i.jsxs)(n.td,{children:["The ",(0,i.jsx)(n.a,{href:"/knowledge#set-the-local-documents-path",children:"local documents path"})," for ingestion."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"PICTURE_DESCRIPTIONS_ENABLED"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"false"})}),(0,i.jsx)(n.td,{children:"Enable picture descriptions."})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"langflow-settings",children:"Langflow settings"}),"\n",(0,i.jsx)(n.p,{children:"Configure the OpenRAG Langflow server's authentication, contact point, and built-in flow definitions."}),"\n",(0,i.jsxs)(n.admonition,{type:"info",children:[(0,i.jsxs)(n.p,{children:["The ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set in your ",(0,i.jsx)(n.code,{children:".env"})," file, and this value determines the default values for several other Langflow authentication variables."]}),(0,i.jsxs)(n.p,{children:["If the ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," variable isn't set, then the Langflow server starts ",(0,i.jsx)(n.em,{children:"without"})," authentication enabled."]}),(0,i.jsxs)(n.p,{children:["For better security, it is recommended to set ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," so the ",(0,i.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#start-a-langflow-server-with-authentication-enabled",children:"Langflow server starts with authentication enabled"}),"."]})]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})}),(0,i.jsxs)(n.td,{children:["Determined by ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})]}),(0,i.jsxs)(n.td,{children:["Whether to enable ",(0,i.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"auto-login mode"})," for the Langflow visual editor and CLI. If ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then ",(0,i.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})," is ",(0,i.jsx)(n.code,{children:"True"})," and auto-login mode is enabled. If ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set, then ",(0,i.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})," is ",(0,i.jsx)(n.code,{children:"False"})," and auto-login mode is disabled. Langflow API calls always require authentication with a Langflow API key regardless of the auto-login setting."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})}),(0,i.jsxs)(n.td,{children:["Determined by ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})]}),(0,i.jsxs)(n.td,{children:["Whether to enable the ",(0,i.jsxs)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-enable-superuser-cli",children:["Langflow CLI ",(0,i.jsx)(n.code,{children:"langflow superuser"})," command"]}),". If ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then ",(0,i.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})," is ",(0,i.jsx)(n.code,{children:"True"})," and superuser accounts can be created with the Langflow CLI. If ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set, then ",(0,i.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})," is ",(0,i.jsx)(n.code,{children:"False"})," and the ",(0,i.jsx)(n.code,{children:"langflow superuser"})," command is disabled."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_NEW_USER_IS_ACTIVE"})}),(0,i.jsxs)(n.td,{children:["Determined by ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})]}),(0,i.jsxs)(n.td,{children:["Whether new ",(0,i.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-new-user-is-active",children:"Langflow user accounts are active by default"}),". If ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then ",(0,i.jsx)(n.code,{children:"LANGFLOW_NEW_USER_IS_ACTIVE"})," is ",(0,i.jsx)(n.code,{children:"True"})," and new user accounts are active by default. If ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set, then ",(0,i.jsx)(n.code,{children:"LANGFLOW_NEW_USER_IS_ACTIVE"})," is ",(0,i.jsx)(n.code,{children:"False"})," and new user accounts are inactive by default."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_PUBLIC_URL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"http://localhost:7860"})}),(0,i.jsx)(n.td,{children:"Public URL for the Langflow instance. Forms the base URL for Langflow API calls and other interfaces with your OpenRAG Langflow instance."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_KEY"})}),(0,i.jsx)(n.td,{children:"Automatically generated"}),(0,i.jsx)(n.td,{children:"A Langflow API key to run flows with Langflow API calls. Because Langflow API keys are server-specific, allow OpenRAG to generate this key initially. You can create additional Langflow API keys after deploying OpenRAG."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_SECRET_KEY"})}),(0,i.jsx)(n.td,{children:"Automatically generated"}),(0,i.jsxs)(n.td,{children:["Secret encryption key for Langflow internal operations. It is recommended to ",(0,i.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key",children:"generate your own Langflow secret key"})," for this variable. If this variable isn't set, then Langflow generates a secret key automatically."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"admin"})}),(0,i.jsx)(n.td,{children:"Username for the Langflow administrator user."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsxs)(n.td,{children:["Langflow administrator password. If this variable isn't set, then the Langflow server starts ",(0,i.jsx)(n.em,{children:"without"})," authentication enabled. It is recommended to set ",(0,i.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," so the ",(0,i.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#start-a-langflow-server-with-authentication-enabled",children:"Langflow server starts with authentication enabled"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_URL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"http://localhost:7860"})}),(0,i.jsx)(n.td,{children:"URL for the Langflow instance."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"LANGFLOW_CHAT_FLOW_ID"}),", ",(0,i.jsx)(n.code,{children:"LANGFLOW_INGEST_FLOW_ID"}),", ",(0,i.jsx)(n.code,{children:"NUDGES_FLOW_ID"})]}),(0,i.jsx)(n.td,{children:"Built-in flow IDs"}),(0,i.jsxs)(n.td,{children:["These variables are set automatically to the IDs of the chat, ingestion, and nudges ",(0,i.jsx)(n.a,{href:"/agents",children:"flows"}),". The default values are found in ",(0,i.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/.env.example",children:(0,i.jsx)(n.code,{children:".env.example"})}),". Only change these values if you want to replace a built-in flow with your own custom flow. The flow JSON must be present in your version of the OpenRAG codebase. For example, if you ",(0,i.jsx)(n.a,{href:"/docker",children:"deploy self-managed services"}),", you can add the flow JSON to your local clone of the OpenRAG repository before deploying OpenRAG."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"SYSTEM_PROMPT"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"You are a helpful AI assistant with access to a knowledge base. Answer questions based on the provided context."})}),(0,i.jsxs)(n.td,{children:["System prompt instructions for the agent driving the ",(0,i.jsx)(n.strong,{children:"Chat"})," flow."]})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"oauth-provider-settings",children:"OAuth provider settings"}),"\n",(0,i.jsxs)(n.p,{children:["Configure ",(0,i.jsx)(n.a,{href:"/ingestion#oauth-ingestion",children:"OAuth providers"})," and external service integrations."]}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"AWS_ACCESS_KEY_ID"}),(0,i.jsx)("br",{}),(0,i.jsx)(n.code,{children:"AWS_SECRET_ACCESS_KEY"})]}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsxs)(n.td,{children:["Enable access to AWS S3 with an ",(0,i.jsx)(n.a,{href:"https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html",children:"AWS OAuth app"})," integration."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"GOOGLE_OAUTH_CLIENT_ID"}),(0,i.jsx)("br",{}),(0,i.jsx)(n.code,{children:"GOOGLE_OAUTH_CLIENT_SECRET"})]}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsxs)(n.td,{children:["Enable the ",(0,i.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client"})," integration. You can generate these values in the ",(0,i.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsxs)(n.td,{children:[(0,i.jsx)(n.code,{children:"MICROSOFT_GRAPH_OAUTH_CLIENT_ID"}),(0,i.jsx)("br",{}),(0,i.jsx)(n.code,{children:"MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET"})]}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsxs)(n.td,{children:["Enable the ",(0,i.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client"})," integration by providing ",(0,i.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),"."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"WEBHOOK_BASE_URL"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsx)(n.td,{children:"Base URL for OAuth connector webhook endpoints. If this variable isn't set, a default base URL is used."})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"opensearch-settings",children:"OpenSearch settings"}),"\n",(0,i.jsx)(n.p,{children:"Configure OpenSearch database authentication."}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENSEARCH_HOST"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"localhost"})}),(0,i.jsx)(n.td,{children:"OpenSearch instance host."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENSEARCH_PORT"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"9200"})}),(0,i.jsx)(n.td,{children:"OpenSearch instance port."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENSEARCH_USERNAME"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"admin"})}),(0,i.jsx)(n.td,{children:"OpenSearch administrator username."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})}),(0,i.jsx)(n.td,{children:"Must be set at start up"}),(0,i.jsxs)(n.td,{children:["Required. OpenSearch administrator password. Must adhere to the ",(0,i.jsx)(n.a,{href:"https://docs.opensearch.org/latest/security/configuration/demo-configuration/#setting-up-a-custom-admin-password",children:"OpenSearch password complexity requirements"}),". You must set this directly in the ",(0,i.jsx)(n.code,{children:".env"})," or in the TUI's ",(0,i.jsx)(n.a,{href:"/install#setup",children:(0,i.jsx)(n.strong,{children:"Basic/Advanced Setup"})}),"."]})]})]})]}),"\n",(0,i.jsx)(n.h2,{id:"system-settings",children:"System settings"}),"\n",(0,i.jsx)(n.p,{children:"Configure general system components, session management, and logging."}),"\n",(0,i.jsxs)(n.table,{children:[(0,i.jsx)(n.thead,{children:(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.th,{children:"Variable"}),(0,i.jsx)(n.th,{children:"Default"}),(0,i.jsx)(n.th,{children:"Description"})]})}),(0,i.jsxs)(n.tbody,{children:[(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_KEY_RETRIES"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"15"})}),(0,i.jsx)(n.td,{children:"Number of retries for Langflow key generation."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_KEY_RETRY_DELAY"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"2.0"})}),(0,i.jsx)(n.td,{children:"Delay between retries in seconds."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LANGFLOW_VERSION"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENRAG_VERSION"})}),(0,i.jsxs)(n.td,{children:["Langflow Docker image version. By default, OpenRAG uses the ",(0,i.jsx)(n.code,{children:"OPENRAG_VERSION"})," for the Langflow Docker image version."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LOG_FORMAT"})}),(0,i.jsx)(n.td,{children:"Not set"}),(0,i.jsxs)(n.td,{children:["Set to ",(0,i.jsx)(n.code,{children:"json"})," to enabled JSON-formatted log output. If this variable isn't set, then the default logging format is used."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"LOG_LEVEL"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"INFO"})}),(0,i.jsxs)(n.td,{children:["Logging level. Can be one of ",(0,i.jsx)(n.code,{children:"DEBUG"}),", ",(0,i.jsx)(n.code,{children:"INFO"}),", ",(0,i.jsx)(n.code,{children:"WARNING"}),", or ",(0,i.jsx)(n.code,{children:"ERROR"}),". ",(0,i.jsx)(n.code,{children:"DEBUG"})," provides the most detailed logs but can impact performance."]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"MAX_WORKERS"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"1"})}),(0,i.jsx)(n.td,{children:"Maximum number of workers for document processing."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"OPENRAG_VERSION"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"latest"})}),(0,i.jsxs)(n.td,{children:["The version of the OpenRAG Docker images to run. For more information, see ",(0,i.jsx)(n.a,{href:"/upgrade",children:"Upgrade OpenRAG"})]})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"SERVICE_NAME"})}),(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"openrag"})}),(0,i.jsx)(n.td,{children:"Service name for logging."})]}),(0,i.jsxs)(n.tr,{children:[(0,i.jsx)(n.td,{children:(0,i.jsx)(n.code,{children:"SESSION_SECRET"})}),(0,i.jsx)(n.td,{children:"Automatically generated"}),(0,i.jsx)(n.td,{children:"Session management."})]})]})]})]})}function h(e={}){const{wrapper:n}={...(0,t.R)(),...e.components};return n?(0,i.jsx)(n,{...e,children:(0,i.jsx)(a,{...e})}):a(e)}}}]);
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d={title:"Environment variables",slug:"/reference/configuration"},l=void 0,c={},o=[{value:"Edit the <code>.env</code> file",id:"set-environment-variables",level:2},{value:"Model provider settings",id:"model-provider-settings",level:2},{value:"Document processing settings",id:"document-processing-settings",level:2},{value:"Langflow settings",id:"langflow-settings",level:2},{value:"OAuth provider settings",id:"oauth-provider-settings",level:2},{value:"OpenSearch settings",id:"opensearch-settings",level:2},{value:"System settings",id:"system-settings",level:2}];function a(e){const n={a:"a",admonition:"admonition",code:"code",em:"em",h2:"h2",li:"li",p:"p",strong:"strong",table:"table",tbody:"tbody",td:"td",th:"th",thead:"thead",tr:"tr",ul:"ul",...(0,i.R)(),...e.components};return(0,t.jsxs)(t.Fragment,{children:[(0,t.jsxs)(n.p,{children:["OpenRAG's ",(0,t.jsx)(n.code,{children:".env"})," file is the primary configuration file for OpenRAG.\nEnvironment variables in ",(0,t.jsx)(n.code,{children:".env"})," always take precedence over other sources."]}),"\n",(0,t.jsxs)(n.p,{children:["For deployments managed with the Terminal User Interface (TUI), this file is located at ",(0,t.jsx)(n.code,{children:"~/.openrag/tui"}),", and it can be created automatically during ",(0,t.jsx)(n.a,{href:"/install-options",children:"installation"}),"."]}),"\n",(0,t.jsxs)(n.p,{children:["For ",(0,t.jsx)(n.a,{href:"/docker",children:"self-managed deployments"}),", this file can be located at the root of your OpenRAG project directory or referenced from another location."]}),"\n",(0,t.jsxs)(n.p,{children:["For an example, see ",(0,t.jsxs)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/.env.example",children:[(0,t.jsx)(n.code,{children:".env.example"})," in the OpenRAG repository"]}),"."]}),"\n",(0,t.jsx)(n.admonition,{type:"tip",children:(0,t.jsxs)(n.p,{children:["OpenRAG's Docker Compose files are populated automatically using values from the ",(0,t.jsx)(n.code,{children:".env"})," file, so you don't need to edit the Docker Compose files manually."]})}),"\n",(0,t.jsxs)(n.p,{children:["If a variable isn't set, OpenRAG uses default or fallback values where available.\nNot all variables have default values, and errors can occur if required variables aren't set.\nDefault values can be found in the reference tables on this page and in ",(0,t.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/config/config_manager.py",children:(0,t.jsx)(n.code,{children:"config_manager.py"})}),", ",(0,t.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/config/settings.py",children:(0,t.jsx)(n.code,{children:"settings.py"})}),", and ",(0,t.jsx)(n.a,{href:"https://github.com/langflow-ai/openrag/blob/main/src/utils/logging_config.py",children:(0,t.jsx)(n.code,{children:"logging_config.py"})}),"."]}),"\n",(0,t.jsxs)(n.p,{children:["You can 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For macOS, ",(0,t.jsx)(n.code,{children:"ocrmac"}),". For any other OS, ",(0,t.jsx)(n.code,{children:"easyocr"}),"."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"DOCLING_SERVE_URL"})}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"http://**HOST_IP**:5001"})}),(0,t.jsxs)(n.td,{children:["URL for the ",(0,t.jsx)(n.a,{href:"/knowledge#select-a-docling-implementation",children:"Docling Serve instance"}),". By default, OpenRAG starts a local ",(0,t.jsx)(n.code,{children:"docling serve"})," process and auto-detects the host. To use your own local or remote Docling Serve instance, set this variable to the full path to the target instance. The service must run on port 5001."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"OCR_ENABLED"})}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"false"})}),(0,t.jsx)(n.td,{children:"Enable OCR for image processing."})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"OPENRAG_DOCUMENTS_PATH"})}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"~/.openrag/documents"})}),(0,t.jsxs)(n.td,{children:["The ",(0,t.jsx)(n.a,{href:"/knowledge#set-the-local-documents-path",children:"local documents path"})," for ingestion."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"PICTURE_DESCRIPTIONS_ENABLED"})}),(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"false"})}),(0,t.jsx)(n.td,{children:"Enable picture descriptions."})]})]})]}),"\n",(0,t.jsx)(n.h2,{id:"langflow-settings",children:"Langflow settings"}),"\n",(0,t.jsx)(n.p,{children:"Configure the OpenRAG Langflow server's authentication, contact point, and built-in flow definitions."}),"\n",(0,t.jsxs)(n.admonition,{type:"info",children:[(0,t.jsxs)(n.p,{children:["The ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set in your ",(0,t.jsx)(n.code,{children:".env"})," file, and this value determines the default values for several other Langflow authentication variables."]}),(0,t.jsxs)(n.p,{children:["If the ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," variable isn't set, then the Langflow server starts ",(0,t.jsx)(n.em,{children:"without"})," authentication enabled."]}),(0,t.jsxs)(n.p,{children:["For better security, it is recommended to set ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," so the ",(0,t.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#start-a-langflow-server-with-authentication-enabled",children:"Langflow server starts with authentication enabled"}),"."]})]}),"\n",(0,t.jsxs)(n.table,{children:[(0,t.jsx)(n.thead,{children:(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.th,{children:"Variable"}),(0,t.jsx)(n.th,{children:"Default"}),(0,t.jsx)(n.th,{children:"Description"})]})}),(0,t.jsxs)(n.tbody,{children:[(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})}),(0,t.jsxs)(n.td,{children:["Determined by ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})]}),(0,t.jsxs)(n.td,{children:["Whether to enable ",(0,t.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login",children:"auto-login mode"})," for the Langflow visual editor and CLI. If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then ",(0,t.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})," is ",(0,t.jsx)(n.code,{children:"True"})," and auto-login mode is enabled. If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set, then ",(0,t.jsx)(n.code,{children:"LANGFLOW_AUTO_LOGIN"})," is ",(0,t.jsx)(n.code,{children:"False"})," and auto-login mode is disabled. Langflow API calls always require authentication with a Langflow API key regardless of the auto-login setting."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})}),(0,t.jsxs)(n.td,{children:["Determined by ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})]}),(0,t.jsxs)(n.td,{children:["Whether to enable the ",(0,t.jsxs)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-enable-superuser-cli",children:["Langflow CLI ",(0,t.jsx)(n.code,{children:"langflow superuser"})," command"]}),". If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then ",(0,t.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})," is ",(0,t.jsx)(n.code,{children:"True"})," and superuser accounts can be created with the Langflow CLI. If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," is set, then ",(0,t.jsx)(n.code,{children:"LANGFLOW_ENABLE_SUPERUSER_CLI"})," is ",(0,t.jsx)(n.code,{children:"False"})," and the ",(0,t.jsx)(n.code,{children:"langflow superuser"})," command is disabled."]})]}),(0,t.jsxs)(n.tr,{children:[(0,t.jsx)(n.td,{children:(0,t.jsx)(n.code,{children:"LANGFLOW_NEW_USER_IS_ACTIVE"})}),(0,t.jsxs)(n.td,{children:["Determined by ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})]}),(0,t.jsxs)(n.td,{children:["Whether new ",(0,t.jsx)(n.a,{href:"https://docs.langflow.org/api-keys-and-authentication#langflow-new-user-is-active",children:"Langflow user accounts are active by default"}),". If ",(0,t.jsx)(n.code,{children:"LANGFLOW_SUPERUSER_PASSWORD"})," isn't set, then ",(0,t.jsx)(n.code,{children:"LANGFLOW_NEW_USER_IS_ACTIVE"})," is ",(0,t.jsx)(n.code,{children:"True"})," and new user accounts are active by default. 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diff --git a/assets/js/ca2c3c0c.f282f8bd.js b/assets/js/ca2c3c0c.c5c6a097.js
similarity index 71%
rename from assets/js/ca2c3c0c.f282f8bd.js
rename to assets/js/ca2c3c0c.c5c6a097.js
index 2e451b02..07cc0e7a 100644
--- a/assets/js/ca2c3c0c.f282f8bd.js
+++ b/assets/js/ca2c3c0c.c5c6a097.js
@@ -1 +1 @@
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This conversion standardizes the document data in preparation for further processing."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/dataframe-operations",children:[(0,o.jsx)(n.strong,{children:"DataFrame Operations"})," component"]}),": Three of these components run sequentially to add metadata to the document data: ",(0,o.jsx)(n.code,{children:"filename"}),", ",(0,o.jsx)(n.code,{children:"file_size"}),", and ",(0,o.jsx)(n.code,{children:"mimetype"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/split-text",children:[(0,o.jsx)(n.strong,{children:"Split Text"})," component"]}),": Splits the processed text into chunks, based on the configured ",(0,o.jsx)(n.a,{href:"/knowledge#knowledge-ingestion-settings",children:"chunk size and overlap settings"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Secret Input"})," component: If needed, four of these components securely fetch the ",(0,o.jsx)(n.a,{href:"/knowledge#auth",children:"OAuth authentication"})," configuration variables: ",(0,o.jsx)(n.code,{children:"CONNECTOR_TYPE"}),", ",(0,o.jsx)(n.code,{children:"OWNER"}),", ",(0,o.jsx)(n.code,{children:"OWNER_EMAIL"}),", and ",(0,o.jsx)(n.code,{children:"OWNER_NAME"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Create Data"})," component: Combines the authentication credentials from the ",(0,o.jsx)(n.strong,{children:"Secret Input"})," components into a structured data object that is associated with the document embeddings."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-embedding-models",children:[(0,o.jsx)(n.strong,{children:"Embedding Model"})," component"]}),": Generates vector embeddings using your selected ",(0,o.jsx)(n.a,{href:"/knowledge#set-the-embedding-model-and-dimensions",children:"embedding model"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-elastic#opensearch",children:[(0,o.jsx)(n.strong,{children:"OpenSearch"})," component"]}),": Stores the processed documents and their embeddings in a ",(0,o.jsx)(n.code,{children:"documents"})," index of your OpenRAG ",(0,o.jsx)(n.a,{href:"/knowledge",children:"OpenSearch knowledge base"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The default address for the OpenSearch instance is ",(0,o.jsx)(n.code,{children:"https://opensearch:9200"}),". To change this address, edit the ",(0,o.jsx)(n.code,{children:"OPENSEARCH_PORT"})," ",(0,o.jsx)(n.a,{href:"/reference/configuration#opensearch-settings",children:"environment variable"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The default authentication method is JSON Web Token (JWT) authentication. If you ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"edit the flow"}),", you can select ",(0,o.jsx)(n.code,{children:"basic"})," auth mode, which uses the ",(0,o.jsx)(n.code,{children:"OPENSEARCH_USERNAME"})," and ",(0,o.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})," ",(0,o.jsx)(n.a,{href:"/reference/configuration#opensearch-settings",children:"environment variables"})," for authentication instead of JWT."]}),"\n"]}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(h,{...e})}):h(e)}var p=s(1381),g=s(4577);const f={title:"Ingest knowledge",slug:"/ingestion"},m=void 0,x={},j=[{value:"Ingest local files and folders",id:"ingest-local-files-and-folders",level:2},...d,{value:"Ingest local files temporarily",id:"ingest-local-files-temporarily",level:2},...c.RM,{value:"Ingest files with OAuth connectors",id:"oauth-ingestion",level:2},{value:"Enable OAuth connectors",id:"enable-oauth-connectors",level:3},...g.RM,...p.RM,{value:"Authenticate and ingest files from cloud storage",id:"authenticate-and-ingest-files-from-cloud-storage",level:3},...d,{value:"Ingest knowledge from URLs",id:"url-flow",level:2},{value:"Monitor ingestion",id:"monitor-ingestion",level:2},{value:"Ingestion performance expectations",id:"ingestion-performance-expectations",level:3},{value:"Troubleshoot ingestion",id:"troubleshoot-ingestion",level:2},{value:"Failed or slow ingestion",id:"failed-or-slow-ingestion",level:3},{value:"Problems when referencing documents in chat",id:"problems-when-referencing-documents-in-chat",level:3},{value:"See also",id:"see-also",level:2}];function w(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,r.R)(),...e.components},{Details:s}=n;return s||function(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,o.jsxs)(o.Fragment,{children:[(0,o.jsxs)(n.p,{children:["Upload documents to your ",(0,o.jsx)(n.a,{href:"/knowledge",children:"OpenRAG OpenSearch instance"})," to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.\nDocuments are processed through OpenRAG's knowledge ingestion flows with Docling."]}),"\n",(0,o.jsx)(n.p,{children:"OpenRAG can ingest knowledge from direct file uploads, URLs, and OAuth authenticated connectors."}),"\n",(0,o.jsxs)(n.p,{children:["Knowledge ingestion is powered by OpenRAG's built-in knowledge ingestion flows that use Docling to process documents before storing the documents in your OpenSearch database.\nDuring ingestion, documents are broken into smaller chunks of content that are then embedded using your selected ",(0,o.jsx)(n.a,{href:"/knowledge#set-the-embedding-model-and-dimensions",children:"embedding model"}),".\nThen, the chunks, embeddings, and associated metadata (which connects chunks of the same document) are stored in your OpenSearch database."]}),"\n",(0,o.jsxs)(n.p,{children:["To modify chunking behavior and other ingestion settings, see ",(0,o.jsx)(n.a,{href:"/knowledge#knowledge-ingestion-settings",children:"Knowledge ingestion settings"})," and ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"ingest-local-files-and-folders",children:"Ingest local files and folders"}),"\n",(0,o.jsx)(n.p,{children:"You can upload files and folders from your local machine to your knowledge base:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(i.A,{name:"Library","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Knowledge"})," to view your OpenSearch knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Add Knowledge"})," to add your own documents to your OpenRAG knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["To upload one file, click ",(0,o.jsx)(i.A,{name:"File","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"File"}),". To upload all documents in a folder, click ",(0,o.jsx)(i.A,{name:"Folder","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Folder"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The default path is ",(0,o.jsx)(n.code,{children:"~/.openrag/documents"}),".\nTo change this path, see ",(0,o.jsx)(n.a,{href:"/knowledge#set-the-local-documents-path",children:"Set the local documents path"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["The selected files are processed in the background through the ",(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," flow."]}),"\n",(0,o.jsx)(u,{}),"\n",(0,o.jsxs)(n.p,{children:["You can ",(0,o.jsx)(n.a,{href:"#monitor-ingestion",children:"monitor ingestion"})," to see the progress of the uploads and check for failed uploads."]}),"\n",(0,o.jsx)(n.h2,{id:"ingest-local-files-temporarily",children:"Ingest local files temporarily"}),"\n",(0,o.jsx)(c.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"oauth-ingestion",children:"Ingest files with OAuth connectors"}),"\n",(0,o.jsx)(n.p,{children:"OpenRAG can use OAuth authenticated connectors to ingest documents from the following external services:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"AWS S3"}),"\n",(0,o.jsx)(n.li,{children:"Google Drive"}),"\n",(0,o.jsx)(n.li,{children:"Microsoft OneDrive"}),"\n",(0,o.jsx)(n.li,{children:"Microsoft Sharepoint"}),"\n"]}),"\n",(0,o.jsx)(n.p,{children:"These connectors enable seamless ingestion of files from cloud storage to your OpenRAG knowledge base."}),"\n",(0,o.jsx)(n.p,{children:"Individual users can connect their personal cloud storage accounts to OpenRAG. Each user must separately authorize OpenRAG to access their own cloud storage. When a user connects a cloud storage service, they are redirected to authenticate with that service provider and grant OpenRAG permission to sync documents from their personal cloud storage."}),"\n",(0,o.jsx)(n.h3,{id:"enable-oauth-connectors",children:"Enable OAuth connectors"}),"\n",(0,o.jsx)(n.p,{children:"Before users can connect their own cloud storage accounts, you must configure the provider's OAuth credentials in OpenRAG. Typically, this requires that you register OpenRAG as an OAuth application in your cloud provider, and then obtain the app's OAuth credentials, such as a client ID and secret key.\nTo enable multiple connectors, you must register an app and generate credentials for each provider."}),"\n",(0,o.jsxs)(l.A,{children:[(0,o.jsxs)(a.A,{value:"TUI",label:"TUI-managed services",default:!0,children:[(0,o.jsxs)(n.p,{children:["If you use the ",(0,o.jsx)(n.a,{href:"/tui",children:"Terminal User Interface (TUI)"})," to manage your OpenRAG services, enter OAuth credentials on the ",(0,o.jsx)(n.strong,{children:"Advanced Setup"})," page.\nYou can do this during ",(0,o.jsx)(n.a,{href:"/install#setup",children:"installation"}),", or you can add the credentials afterwards:"]}),(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["If OpenRAG is running, click ",(0,o.jsx)(n.strong,{children:"Stop All Services"})," in the TUI."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Open the ",(0,o.jsx)(n.strong,{children:"Advanced Setup"})," page, and then add the OAuth credentials for the cloud storage providers that you want to use under ",(0,o.jsx)(n.strong,{children:"API Keys"}),":"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Google"}),": Provide your Google OAuth Client ID and Google OAuth Client Secret. You can generate these in the ",(0,o.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client documentation"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Microsoft"}),": For the Microsoft OAuth Client ID and Microsoft OAuth Client Secret, provide ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client documentation"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Amazon"}),": Provide your AWS Access Key ID and AWS Secret Access Key with access to your S3 instance. For more information, see the AWS documentation on ",(0,o.jsx)(n.a,{href:"https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html",children:"Configuring access to AWS applications"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Register the redirect URIs shown in the TUI in your OAuth provider.\nThese are the URLs your OAuth provider will use to redirect users back to OpenRAG after they sign in."}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Save Configuration"})," to add the OAuth credentials to your ",(0,o.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Start Services"})," to restart the OpenRAG containers with OAuth enabled."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Launch the OpenRAG app.\nYou should be prompted to sign in to your OAuth provider before being redirected to your OpenRAG instance."}),"\n"]}),"\n"]})]}),(0,o.jsxs)(a.A,{value:"env",label:"Self-managed services",children:[(0,o.jsxs)(n.p,{children:["If you ",(0,o.jsx)(n.a,{href:"/docker",children:"installed OpenRAG with self-managed services"}),", set OAuth credentials in your ",(0,o.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file"]}),"."]}),(0,o.jsxs)(n.p,{children:["You can do this during ",(0,o.jsx)(n.a,{href:"/docker#setup",children:"initial set up"}),", or you can add the credentials afterwards:"]}),(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Stop all OpenRAG containers:"}),"\n",(0,o.jsx)(g.Ay,{}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Edit your OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file to add the OAuth credentials for the cloud storage providers that you want to use:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Google"}),": Provide your Google OAuth Client ID and Google OAuth Client Secret. You can generate these in the ",(0,o.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client documentation"}),"."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-env",children:"GOOGLE_OAUTH_CLIENT_ID=\nGOOGLE_OAUTH_CLIENT_SECRET=\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Microsoft"}),": For the Microsoft OAuth Client ID and Microsoft OAuth Client Secret, provide ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client documentation"}),"."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-env",children:"MICROSOFT_GRAPH_OAUTH_CLIENT_ID=\nMICROSOFT_GRAPH_OAUTH_CLIENT_SECRET=\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Amazon"}),": Provide your AWS Access Key ID and AWS Secret Access Key with access to your S3 instance. For more information, see the AWS documentation on ",(0,o.jsx)(n.a,{href:"https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html",children:"Configuring access to AWS applications"}),"."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-env",children:"AWS_ACCESS_KEY_ID=\nAWS_SECRET_ACCESS_KEY=\n"})}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Save the ",(0,o.jsx)(n.code,{children:".env"})," file."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Restart your OpenRAG containers:"}),"\n",(0,o.jsx)(p.Ay,{}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Access the OpenRAG frontend at ",(0,o.jsx)(n.code,{children:"http://localhost:3000"}),".\nYou should be prompted to sign in to your OAuth provider before being redirected to your OpenRAG instance."]}),"\n"]}),"\n"]})]})]}),"\n",(0,o.jsx)(n.h3,{id:"authenticate-and-ingest-files-from-cloud-storage",children:"Authenticate and ingest files from cloud storage"}),"\n",(0,o.jsxs)(n.p,{children:["After you start OpenRAG with OAuth connectors enabled, each user is prompted to authenticate with the OAuth provider upon accessing your OpenRAG instance.\nIndividual authentication is required to access a user's cloud storage from your OpenRAG instance.\nFor example, if a user navigates to the default OpenRAG URL at ",(0,o.jsx)(n.code,{children:"http://localhost:3000"}),", they are redirected to the OAuth provider's sign-in page.\nAfter authenticating and granting the required permissions for OpenRAG, the user is redirected back to OpenRAG."]}),"\n",(0,o.jsx)(n.p,{children:"To ingest knowledge with an OAuth connector, do the following:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(i.A,{name:"Library","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Knowledge"})," to view your OpenSearch knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Add Knowledge"}),", and then select a storage provider."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["On the ",(0,o.jsx)(n.strong,{children:"Add Cloud Knowledge"})," page, click ",(0,o.jsx)(n.strong,{children:"Add Files"}),", and then select the files and folders to ingest from the connected storage."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Ingest Files"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["The selected files are processed in the background through the ",(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," flow."]}),"\n",(0,o.jsx)(u,{}),"\n",(0,o.jsxs)(n.p,{children:["You can ",(0,o.jsx)(n.a,{href:"#monitor-ingestion",children:"monitor ingestion"})," to see the progress of the uploads and check for failed uploads."]}),"\n",(0,o.jsx)(n.h2,{id:"url-flow",children:"Ingest knowledge from URLs"}),"\n",(0,o.jsx)(n.p,{children:"When using the OpenRAG chat, you can enter URLs into the chat to be ingested in real-time during your conversation."}),"\n",(0,o.jsx)(n.admonition,{type:"info",children:(0,o.jsxs)(n.p,{children:["The chat cannot ingest URLs that end in static document file extensions like ",(0,o.jsx)(n.code,{children:".pdf"}),".\nTo upload these types of files, see ",(0,o.jsx)(n.a,{href:"#ingest-local-files-and-folders",children:"Ingest local files and folders"})," and ",(0,o.jsx)(n.a,{href:"#oauth-ingestion",children:"Ingest files with OAuth connectors"}),"."]})}),"\n",(0,o.jsxs)(n.p,{children:["OpenRAG runs the ",(0,o.jsx)(n.strong,{children:"OpenSearch URL Ingestion"})," flow to ingest web content from URLs.\nThis flow isn't directly accessible from the OpenRAG user interface.\nInstead, this flow is called by the ",(0,o.jsxs)(n.a,{href:"/chat#flow",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow"]})," as a Model Context Protocol (MCP) tool.\nThe agent can call this component to fetch web content from a given URL, and then ingest that content into your OpenSearch knowledge base.\nLike all OpenRAG flows, you can ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"inspect the flow in Langflow"}),", and you can customize it.\nFor more information about MCP in Langflow, see the Langflow documentation on ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-client",children:"MCP clients"})," and ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-tutorial",children:"MCP servers"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"monitor-ingestion",children:"Monitor ingestion"}),"\n",(0,o.jsx)(n.p,{children:"Document ingestion tasks run in the background."}),"\n",(0,o.jsxs)(n.p,{children:["In the OpenRAG user interface, a badge is shown on ",(0,o.jsx)(i.A,{name:"Bell","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Tasks"})," when OpenRAG tasks are active.\nClick ",(0,o.jsx)(i.A,{name:"Bell","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Tasks"})," to inspect and cancel tasks:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Active Tasks"}),": All tasks that are ",(0,o.jsx)(n.strong,{children:"Pending"}),", ",(0,o.jsx)(n.strong,{children:"Running"}),", or ",(0,o.jsx)(n.strong,{children:"Processing"}),".\nFor each active task, depending on its state, you can find the task ID, start time, duration, number of files processed, and the total files enqueued for processing."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Pending"}),": The task is queued and waiting to start."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Running"}),": The task is actively processing files."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Processing"}),": The task is performing ingestion operations."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Failed"}),": Something went wrong during ingestion, or the task was manually canceled.\nFor troubleshooting advice, see ",(0,o.jsx)(n.a,{href:"#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["To stop an active task, click ",(0,o.jsx)(i.A,{name:"X","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Cancel"}),". Canceling a task stops processing immediately and marks the task as ",(0,o.jsx)(n.strong,{children:"Failed"}),"."]}),"\n",(0,o.jsx)(n.h3,{id:"ingestion-performance-expectations",children:"Ingestion performance expectations"}),"\n",(0,o.jsx)(n.p,{children:"The following performance test was conducted with Docling Serve."}),"\n",(0,o.jsx)(n.p,{children:"On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.\nThis equates to approximately 2.4 documents per second."}),"\n",(0,o.jsx)(n.p,{children:"You can generally expect equal or better performance on developer laptops, and significantly faster performance on servers.\nThroughput scales with CPU cores, memory, storage speed, and configuration choices, such as the embedding model, chunk size, overlap, and concurrency."}),"\n",(0,o.jsx)(n.p,{children:"This test returned 12 error, approximately 1.1 percent of the total files ingested.\nAll errors were file-specific, and they didn't stop the pipeline."}),"\n",(0,o.jsxs)(s,{children:[(0,o.jsx)("summary",{children:"Ingestion performance test details"}),(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Ingestion dataset:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Total files: 1,083 items mounted"}),"\n",(0,o.jsx)(n.li,{children:"Total size on disk: 5,026,474,862 bytes (approximately 5.03 GB)"}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Hardware specifications:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Machine: Apple M4 Pro"}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Podman VM:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Name: podman-machine-default"}),"\n",(0,o.jsx)(n.li,{children:"Type: applehv"}),"\n",(0,o.jsx)(n.li,{children:"vCPUs: 7"}),"\n",(0,o.jsx)(n.li,{children:"Memory: 8 GiB"}),"\n",(0,o.jsx)(n.li,{children:"Disk size: 100 GiB"}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Test results:"}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-text",children:"2025-09-24T22:40:45.542190Z /app/src/main.py:231 Ingesting default documents when ready disable_langflow_ingest=False\n2025-09-24T22:40:45.546385Z /app/src/main.py:270 Using Langflow ingestion pipeline for default documents file_count=1082\n...\n2025-09-24T23:19:44.866365Z /app/src/main.py:351 Langflow ingestion completed success_count=1070 error_count=12 total_files=1082\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Elapsed time: Approximately 42 minutes 15 seconds (2,535 seconds)"}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Throughput: Approximately 2.4 documents per second"}),"\n"]}),"\n"]})]}),"\n",(0,o.jsx)(n.h2,{id:"troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"\n",(0,o.jsx)(n.p,{children:"The following issues can occur during document ingestion."}),"\n",(0,o.jsx)(n.h3,{id:"failed-or-slow-ingestion",children:"Failed or slow ingestion"}),"\n",(0,o.jsx)(n.p,{children:"If an ingestion task fails, do the following:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Make sure you are uploading supported file types."}),"\n",(0,o.jsx)(n.li,{children:"Split excessively large files into smaller files before uploading."}),"\n",(0,o.jsx)(n.li,{children:"Remove unusual embedded content, such as videos or animations, before uploading. Although Docling can replace some non-text content with placeholders during ingestion, some embedded content might cause errors."}),"\n",(0,o.jsxs)(n.li,{children:["Make sure your Podman/Docker VM has sufficient memory for the ingestion tasks.\nThe minimum recommendation is 8 GB of RAM.\nIf you regularly upload large files, more RAM is recommended.\nFor more information, see ",(0,o.jsx)(n.a,{href:"/support/troubleshoot#memory-issue-with-podman-on-macos",children:"Memory issue with Podman on macOS"})," and ",(0,o.jsx)(n.a,{href:"/support/troubleshoot#container-out-of-memory-errors",children:"Container out of memory errors"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["If OCR ingestion fails due to OCR missing, see ",(0,o.jsx)(n.a,{href:"/support/troubleshoot#ocr-ingestion-fails-easyocr-not-installed",children:"OCR ingestion fails (easyocr not installed)"}),"."]}),"\n"]}),"\n",(0,o.jsx)(n.h3,{id:"problems-when-referencing-documents-in-chat",children:"Problems when referencing documents in chat"}),"\n",(0,o.jsxs)(n.p,{children:["If the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"})," doesn't seem to use your documents correctly, ",(0,o.jsx)(n.a,{href:"/knowledge#browse-knowledge",children:"browse your knowledge base"})," to confirm that the documents are uploaded in full, and the chunks are correct."]}),"\n",(0,o.jsxs)(n.p,{children:["If the documents are present and well-formed, check your ",(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"knowledge filters"}),".\nIf a global filter is applied, make sure the expected documents are included in the global filter.\nIf the global filter excludes any documents, the agent cannot access those documents unless you apply a chat-level filter or change the global filter."]}),"\n",(0,o.jsx)(n.p,{children:"If text is missing or incorrectly processed, you need to reupload the documents after modifying the ingestion parameters or the documents themselves.\nFor example:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Break combined documents into separate files for better metadata context."}),"\n",(0,o.jsxs)(n.li,{children:["Make sure scanned documents are legible enough for extraction, and enable the ",(0,o.jsx)(n.strong,{children:"OCR"})," option. Poorly scanned documents might require additional preparation or rescanning before ingestion."]}),"\n",(0,o.jsxs)(n.li,{children:["Adjust the ",(0,o.jsx)(n.strong,{children:"Chunk Size"})," and ",(0,o.jsx)(n.strong,{children:"Chunk Overlap"})," settings to better suit your documents. Larger chunks provide more context but can include irrelevant information, while smaller chunks yield more precise semantic search but can lack context."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["For more information about modifying ingestion parameters and flows, see ",(0,o.jsx)(n.a,{href:"/knowledge#knowledge-ingestion-settings",children:"Knowledge ingestion settings"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"see-also",children:"See also"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/knowledge",children:"Configure knowledge"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"Filter knowledge"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/chat",children:"Chat with knowledge"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"})}),"\n"]})]})}function b(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(w,{...e})}):w(e)}},8401:(e,n,s)=>{s.d(n,{Ay:()=>a,RM:()=>i});var t=s(4848),o=s(8453),r=s(9179);const i=[];function l(e){const n={p:"p",strong:"strong",...(0,o.R)(),...e.components};return(0,t.jsxs)(n.p,{children:["When using the OpenRAG ",(0,t.jsx)(n.strong,{children:"Chat"}),", click ",(0,t.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," in the chat input field to upload a file to the current chat session.\nFiles added this way are processed and made available to the agent for the current conversation only.\nThese files aren't stored in the knowledge base permanently."]})}function a(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(l,{...e})}):l(e)}},9179:(e,n,s)=>{s.d(n,{A:()=>r});s(6540);var t=s(7856),o=s(4848);function r({name:e,...n}){const s=t[e];return s?(0,o.jsx)(s,{...n}):null}},9365:(e,n,s)=>{s.d(n,{A:()=>i});s(6540);var t=s(4164);const o={tabItem:"tabItem_Ymn6"};var r=s(4848);function i({children:e,hidden:n,className:s}){return(0,r.jsx)("div",{role:"tabpanel",className:(0,t.A)(o.tabItem,s),hidden:n,children:e})}}}]);
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knowledge","permalink":"/knowledge-filters"}}');var o=s(4848),r=s(8453),i=s(9179),l=s(1470),a=s(9365),c=s(8401);const d=[];function h(e){const n={a:"a",code:"code",li:"li",p:"p",strong:"strong",ul:"ul",...(0,r.R)(),...e.components},{Details:s}=n;return s||function(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,o.jsxs)(s,{children:[(0,o.jsx)("summary",{children:"About the OpenSearch Ingestion flow"}),(0,o.jsxs)(n.p,{children:["When you upload documents locally or with OAuth connectors, the ",(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," flow runs in the background.\nBy default, this flow uses Docling Serve to import and process documents."]}),(0,o.jsxs)(n.p,{children:["Like all ",(0,o.jsx)(n.a,{href:"/agents",children:"OpenRAG flows"}),", you can ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"inspect the flow in Langflow"}),", and you can customize it if you want to change the knowledge ingestion settings."]}),(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," flow is comprised of several components that work together to process and store documents in your knowledge base:"]}),(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-docling#docling-serve",children:[(0,o.jsx)(n.strong,{children:"Docling Serve"})," component"]}),": Ingests files and processes them by connecting to OpenRAG's local Docling Serve service. The output is ",(0,o.jsx)(n.code,{children:"DoclingDocument"})," data that contains the extracted text and metadata from the documents."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-docling#export-doclingdocument",children:[(0,o.jsx)(n.strong,{children:"Export DoclingDocument"})," component"]}),": Exports processed ",(0,o.jsx)(n.code,{children:"DoclingDocument"})," data to Markdown format with image placeholders. This conversion standardizes the document data in preparation for further processing."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/dataframe-operations",children:[(0,o.jsx)(n.strong,{children:"DataFrame Operations"})," component"]}),": Three of these components run sequentially to add metadata to the document data: ",(0,o.jsx)(n.code,{children:"filename"}),", ",(0,o.jsx)(n.code,{children:"file_size"}),", and ",(0,o.jsx)(n.code,{children:"mimetype"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/split-text",children:[(0,o.jsx)(n.strong,{children:"Split Text"})," component"]}),": Splits the processed text into chunks, based on the configured ",(0,o.jsx)(n.a,{href:"/knowledge#knowledge-ingestion-settings",children:"chunk size and overlap settings"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Secret Input"})," component: If needed, four of these components securely fetch the ",(0,o.jsx)(n.a,{href:"/knowledge#auth",children:"OAuth authentication"})," configuration variables: ",(0,o.jsx)(n.code,{children:"CONNECTOR_TYPE"}),", ",(0,o.jsx)(n.code,{children:"OWNER"}),", ",(0,o.jsx)(n.code,{children:"OWNER_EMAIL"}),", and ",(0,o.jsx)(n.code,{children:"OWNER_NAME"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Create Data"})," component: Combines the authentication credentials from the ",(0,o.jsx)(n.strong,{children:"Secret Input"})," components into a structured data object that is associated with the document embeddings."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/components-embedding-models",children:[(0,o.jsx)(n.strong,{children:"Embedding Model"})," component"]}),": Generates vector embeddings using your selected ",(0,o.jsx)(n.a,{href:"/knowledge#set-the-embedding-model-and-dimensions",children:"embedding model"}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsxs)(n.a,{href:"https://docs.langflow.org/bundles-elastic#opensearch",children:[(0,o.jsx)(n.strong,{children:"OpenSearch"})," component"]}),": Stores the processed documents and their embeddings in a ",(0,o.jsx)(n.code,{children:"documents"})," index of your OpenRAG ",(0,o.jsx)(n.a,{href:"/knowledge",children:"OpenSearch knowledge base"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The default address for the OpenSearch instance is ",(0,o.jsx)(n.code,{children:"https://opensearch:9200"}),". To change this address, edit the ",(0,o.jsx)(n.code,{children:"OPENSEARCH_PORT"})," ",(0,o.jsx)(n.a,{href:"/reference/configuration#opensearch-settings",children:"environment variable"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The default authentication method is JSON Web Token (JWT) authentication. If you ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"edit the flow"}),", you can select ",(0,o.jsx)(n.code,{children:"basic"})," auth mode, which uses the ",(0,o.jsx)(n.code,{children:"OPENSEARCH_USERNAME"})," and ",(0,o.jsx)(n.code,{children:"OPENSEARCH_PASSWORD"})," ",(0,o.jsx)(n.a,{href:"/reference/configuration#opensearch-settings",children:"environment variables"})," for authentication instead of JWT."]}),"\n"]}),"\n"]})]})}function u(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(h,{...e})}):h(e)}var p=s(1381),g=s(4577);const f={title:"Ingest knowledge",slug:"/ingestion"},m=void 0,x={},j=[{value:"Ingest local files and folders",id:"ingest-local-files-and-folders",level:2},...d,{value:"Ingest local files temporarily",id:"ingest-local-files-temporarily",level:2},...c.RM,{value:"Ingest files with OAuth connectors",id:"oauth-ingestion",level:2},{value:"Enable OAuth connectors",id:"enable-oauth-connectors",level:3},...g.RM,...p.RM,{value:"Authenticate and ingest files from cloud storage",id:"authenticate-and-ingest-files-from-cloud-storage",level:3},...d,{value:"Ingest knowledge from URLs",id:"url-flow",level:2},{value:"Monitor ingestion",id:"monitor-ingestion",level:2},{value:"Ingestion performance expectations",id:"ingestion-performance-expectations",level:3},{value:"Troubleshoot ingestion",id:"troubleshoot-ingestion",level:2},{value:"Failed or slow ingestion",id:"failed-or-slow-ingestion",level:3},{value:"Problems when referencing documents in chat",id:"problems-when-referencing-documents-in-chat",level:3},{value:"See also",id:"see-also",level:2}];function w(e){const n={a:"a",admonition:"admonition",code:"code",h2:"h2",h3:"h3",li:"li",ol:"ol",p:"p",pre:"pre",strong:"strong",ul:"ul",...(0,r.R)(),...e.components},{Details:s}=n;return s||function(e,n){throw new Error("Expected "+(n?"component":"object")+" `"+e+"` to be defined: you likely forgot to import, pass, or provide it.")}("Details",!0),(0,o.jsxs)(o.Fragment,{children:[(0,o.jsxs)(n.p,{children:["Upload documents to your ",(0,o.jsx)(n.a,{href:"/knowledge",children:"OpenRAG OpenSearch instance"})," to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.\nDocuments are processed through OpenRAG's knowledge ingestion flows with Docling."]}),"\n",(0,o.jsx)(n.p,{children:"OpenRAG can ingest knowledge from direct file uploads, URLs, and OAuth authenticated connectors."}),"\n",(0,o.jsxs)(n.p,{children:["Knowledge ingestion is powered by OpenRAG's built-in knowledge ingestion flows that use Docling to process documents before storing the documents in your OpenSearch database.\nDuring ingestion, documents are broken into smaller chunks of content that are then embedded using your selected ",(0,o.jsx)(n.a,{href:"/knowledge#set-the-embedding-model-and-dimensions",children:"embedding model"}),".\nThen, the chunks, embeddings, and associated metadata (which connects chunks of the same document) are stored in your OpenSearch database."]}),"\n",(0,o.jsxs)(n.p,{children:["To modify chunking behavior and other ingestion settings, see ",(0,o.jsx)(n.a,{href:"/knowledge#knowledge-ingestion-settings",children:"Knowledge ingestion settings"})," and ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"ingest-local-files-and-folders",children:"Ingest local files and folders"}),"\n",(0,o.jsx)(n.p,{children:"You can upload files and folders from your local machine to your knowledge base:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(i.A,{name:"Library","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Knowledge"})," to view your OpenSearch knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Add Knowledge"})," to add your own documents to your OpenRAG knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["To upload one file, click ",(0,o.jsx)(i.A,{name:"File","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"File"}),". To upload all documents in a folder, click ",(0,o.jsx)(i.A,{name:"Folder","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Folder"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["The default path is ",(0,o.jsx)(n.code,{children:"~/.openrag/documents"}),".\nTo change this path, see ",(0,o.jsx)(n.a,{href:"/knowledge#set-the-local-documents-path",children:"Set the local documents path"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["The selected files are processed in the background through the ",(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," flow."]}),"\n",(0,o.jsx)(u,{}),"\n",(0,o.jsxs)(n.p,{children:["You can ",(0,o.jsx)(n.a,{href:"#monitor-ingestion",children:"monitor ingestion"})," to see the progress of the uploads and check for failed uploads."]}),"\n",(0,o.jsx)(n.h2,{id:"ingest-local-files-temporarily",children:"Ingest local files temporarily"}),"\n",(0,o.jsx)(c.Ay,{}),"\n",(0,o.jsx)(n.h2,{id:"oauth-ingestion",children:"Ingest files with OAuth connectors"}),"\n",(0,o.jsx)(n.p,{children:"OpenRAG can use OAuth authenticated connectors to ingest documents from the following external services:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"AWS S3"}),"\n",(0,o.jsx)(n.li,{children:"Google Drive"}),"\n",(0,o.jsx)(n.li,{children:"Microsoft OneDrive"}),"\n",(0,o.jsx)(n.li,{children:"Microsoft Sharepoint"}),"\n"]}),"\n",(0,o.jsx)(n.p,{children:"These connectors enable seamless ingestion of files from cloud storage to your OpenRAG knowledge base."}),"\n",(0,o.jsx)(n.p,{children:"Individual users can connect their personal cloud storage accounts to OpenRAG. Each user must separately authorize OpenRAG to access their own cloud storage. When a user connects a cloud storage service, they are redirected to authenticate with that service provider and grant OpenRAG permission to sync documents from their personal cloud storage."}),"\n",(0,o.jsx)(n.h3,{id:"enable-oauth-connectors",children:"Enable OAuth connectors"}),"\n",(0,o.jsx)(n.p,{children:"Before users can connect their own cloud storage accounts, you must configure the provider's OAuth credentials in OpenRAG. Typically, this requires that you register OpenRAG as an OAuth application in your cloud provider, and then obtain the app's OAuth credentials, such as a client ID and secret key.\nTo enable multiple connectors, you must register an app and generate credentials for each provider."}),"\n",(0,o.jsxs)(l.A,{children:[(0,o.jsxs)(a.A,{value:"TUI",label:"TUI-managed services",default:!0,children:[(0,o.jsxs)(n.p,{children:["If you use the ",(0,o.jsx)(n.a,{href:"/tui",children:"Terminal User Interface (TUI)"})," to manage your OpenRAG services, enter OAuth credentials on the ",(0,o.jsx)(n.strong,{children:"Advanced Setup"})," page.\nYou can do this during ",(0,o.jsx)(n.a,{href:"/install#setup",children:"installation"}),", or you can add the credentials afterwards:"]}),(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["If OpenRAG is running, click ",(0,o.jsx)(n.strong,{children:"Stop All Services"})," in the TUI."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Open the ",(0,o.jsx)(n.strong,{children:"Advanced Setup"})," page, and then add the OAuth credentials for the cloud storage providers that you want to use under ",(0,o.jsx)(n.strong,{children:"API Keys"}),":"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Google"}),": Provide your Google OAuth Client ID and Google OAuth Client Secret. You can generate these in the ",(0,o.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client documentation"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Microsoft"}),": For the Microsoft OAuth Client ID and Microsoft OAuth Client Secret, provide ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client documentation"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Amazon"}),": Provide your AWS Access Key ID and AWS Secret Access Key with access to your S3 instance. For more information, see the AWS documentation on ",(0,o.jsx)(n.a,{href:"https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html",children:"Configuring access to AWS applications"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Register the redirect URIs shown in the TUI in your OAuth provider.\nThese are the URLs your OAuth provider will use to redirect users back to OpenRAG after they sign in."}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Save Configuration"})," to add the OAuth credentials to your ",(0,o.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file"]}),"."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Start Services"})," to restart the OpenRAG containers with OAuth enabled."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Launch the OpenRAG app.\nYou should be prompted to sign in to your OAuth provider before being redirected to your OpenRAG instance."}),"\n"]}),"\n"]})]}),(0,o.jsxs)(a.A,{value:"env",label:"Self-managed services",children:[(0,o.jsxs)(n.p,{children:["If you ",(0,o.jsx)(n.a,{href:"/docker",children:"installed OpenRAG with self-managed services"}),", set OAuth credentials in your ",(0,o.jsxs)(n.a,{href:"/reference/configuration",children:["OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file"]}),"."]}),(0,o.jsxs)(n.p,{children:["You can do this during ",(0,o.jsx)(n.a,{href:"/docker#setup",children:"initial set up"}),", or you can add the credentials afterwards:"]}),(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Stop all OpenRAG containers:"}),"\n",(0,o.jsx)(g.Ay,{}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Edit your OpenRAG ",(0,o.jsx)(n.code,{children:".env"})," file to add the OAuth credentials for the cloud storage providers that you want to use:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Google"}),": Provide your Google OAuth Client ID and Google OAuth Client Secret. You can generate these in the ",(0,o.jsx)(n.a,{href:"https://console.cloud.google.com/apis/credentials",children:"Google Cloud Console"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://developers.google.com/identity/protocols/oauth2",children:"Google OAuth client documentation"}),"."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-env",children:"GOOGLE_OAUTH_CLIENT_ID=\nGOOGLE_OAUTH_CLIENT_SECRET=\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Microsoft"}),": For the Microsoft OAuth Client ID and Microsoft OAuth Client Secret, provide ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online",children:"Azure application registration credentials for SharePoint and OneDrive"}),". For more information, see the ",(0,o.jsx)(n.a,{href:"https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth",children:"Microsoft Graph OAuth client documentation"}),"."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-env",children:"MICROSOFT_GRAPH_OAUTH_CLIENT_ID=\nMICROSOFT_GRAPH_OAUTH_CLIENT_SECRET=\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Amazon"}),": Provide your AWS Access Key ID and AWS Secret Access Key with access to your S3 instance. For more information, see the AWS documentation on ",(0,o.jsx)(n.a,{href:"https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html",children:"Configuring access to AWS applications"}),"."]}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-env",children:"AWS_ACCESS_KEY_ID=\nAWS_SECRET_ACCESS_KEY=\n"})}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Save the ",(0,o.jsx)(n.code,{children:".env"})," file."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Restart your OpenRAG containers:"}),"\n",(0,o.jsx)(p.Ay,{}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Access the OpenRAG frontend at ",(0,o.jsx)(n.code,{children:"http://localhost:3000"}),".\nYou should be prompted to sign in to your OAuth provider before being redirected to your OpenRAG instance."]}),"\n"]}),"\n"]})]})]}),"\n",(0,o.jsx)(n.h3,{id:"authenticate-and-ingest-files-from-cloud-storage",children:"Authenticate and ingest files from cloud storage"}),"\n",(0,o.jsxs)(n.p,{children:["After you start OpenRAG with OAuth connectors enabled, each user is prompted to authenticate with the OAuth provider upon accessing your OpenRAG instance.\nIndividual authentication is required to access a user's cloud storage from your OpenRAG instance.\nFor example, if a user navigates to the default OpenRAG URL at ",(0,o.jsx)(n.code,{children:"http://localhost:3000"}),", they are redirected to the OAuth provider's sign-in page.\nAfter authenticating and granting the required permissions for OpenRAG, the user is redirected back to OpenRAG."]}),"\n",(0,o.jsx)(n.p,{children:"To ingest knowledge with an OAuth connector, do the following:"}),"\n",(0,o.jsxs)(n.ol,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(i.A,{name:"Library","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Knowledge"})," to view your OpenSearch knowledge base."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Add Knowledge"}),", and then select a storage provider."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["On the ",(0,o.jsx)(n.strong,{children:"Add Cloud Knowledge"})," page, click ",(0,o.jsx)(n.strong,{children:"Add Files"}),", and then select the files and folders to ingest from the connected storage."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["Click ",(0,o.jsx)(n.strong,{children:"Ingest Files"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["The selected files are processed in the background through the ",(0,o.jsx)(n.strong,{children:"OpenSearch Ingestion"})," flow."]}),"\n",(0,o.jsx)(u,{}),"\n",(0,o.jsxs)(n.p,{children:["You can ",(0,o.jsx)(n.a,{href:"#monitor-ingestion",children:"monitor ingestion"})," to see the progress of the uploads and check for failed uploads."]}),"\n",(0,o.jsx)(n.h2,{id:"url-flow",children:"Ingest knowledge from URLs"}),"\n",(0,o.jsx)(n.p,{children:"When using the OpenRAG chat, you can enter URLs into the chat to be ingested in real-time during your conversation."}),"\n",(0,o.jsx)(n.admonition,{type:"info",children:(0,o.jsxs)(n.p,{children:["The chat cannot ingest URLs that end in static document file extensions like ",(0,o.jsx)(n.code,{children:".pdf"}),".\nTo upload these types of files, see ",(0,o.jsx)(n.a,{href:"#ingest-local-files-and-folders",children:"Ingest local files and folders"})," and ",(0,o.jsx)(n.a,{href:"#oauth-ingestion",children:"Ingest files with OAuth connectors"}),"."]})}),"\n",(0,o.jsxs)(n.p,{children:["OpenRAG runs the ",(0,o.jsx)(n.strong,{children:"OpenSearch URL Ingestion"})," flow to ingest web content from URLs.\nThis flow isn't directly accessible from the OpenRAG user interface.\nInstead, this flow is called by the ",(0,o.jsxs)(n.a,{href:"/chat#flow",children:[(0,o.jsx)(n.strong,{children:"OpenRAG OpenSearch Agent"})," flow"]})," as a Model Context Protocol (MCP) tool.\nThe agent can call this component to fetch web content from a given URL, and then ingest that content into your OpenSearch knowledge base.\nLike all OpenRAG flows, you can ",(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"inspect the flow in Langflow"}),", and you can customize it.\nFor more information about MCP in Langflow, see the Langflow documentation on ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-client",children:"MCP clients"})," and ",(0,o.jsx)(n.a,{href:"https://docs.langflow.org/mcp-tutorial",children:"MCP servers"}),"."]}),"\n",(0,o.jsx)(n.h2,{id:"monitor-ingestion",children:"Monitor ingestion"}),"\n",(0,o.jsx)(n.p,{children:"Depending on the amount of data to ingest, document ingestion can take a few seconds, minutes, or longer.\nFor this reason, document ingestion tasks run in the background."}),"\n",(0,o.jsxs)(n.p,{children:["In the OpenRAG user interface, a badge is shown on ",(0,o.jsx)(i.A,{name:"Bell","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Tasks"})," when OpenRAG tasks are active.\nClick ",(0,o.jsx)(i.A,{name:"Bell","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Tasks"})," to inspect and cancel tasks.\nTasks are separated into multiple sections:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"Active Tasks"})," section includes all tasks that are ",(0,o.jsx)(n.strong,{children:"Pending"}),", ",(0,o.jsx)(n.strong,{children:"Running"}),", or ",(0,o.jsx)(n.strong,{children:"Processing"}),":"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Pending"}),": The task is queued and waiting to start."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Running"}),": The task is actively processing files."]}),"\n",(0,o.jsxs)(n.li,{children:[(0,o.jsx)(n.strong,{children:"Processing"}),": The task is performing ingestion operations."]}),"\n"]}),"\n",(0,o.jsxs)(n.p,{children:["To stop an active task, click ",(0,o.jsx)(i.A,{name:"X","aria-hidden":"true"})," ",(0,o.jsx)(n.strong,{children:"Cancel"}),". Canceling a task stops processing immediately and marks the ingestion as failed."]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsxs)(n.p,{children:["The ",(0,o.jsx)(n.strong,{children:"Recent Tasks"})," section lists recently finished tasks."]}),"\n",(0,o.jsxs)(n.admonition,{type:"warning",children:[(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Completed"})," doesn't mean success."]}),(0,o.jsx)(n.p,{children:"A completed task can report successful ingestions, failed ingestions, or both, depending on the number of files processed."})]}),"\n",(0,o.jsxs)(n.p,{children:["Check the ",(0,o.jsx)(n.strong,{children:"Success"})," and ",(0,o.jsx)(n.strong,{children:"Failed"})," counts for each completed task to determine the overall success rate."]}),"\n",(0,o.jsxs)(n.p,{children:[(0,o.jsx)(n.strong,{children:"Failed"})," means something went wrong during ingestion, or the task was manually canceled.\nFor more information, see ",(0,o.jsx)(n.a,{href:"#troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"."]}),"\n"]}),"\n"]}),"\n",(0,o.jsx)(n.p,{children:"For each task, depending on its state, you can find the task ID, start time, duration, number of files processed successfully, number of files that failed, and the number of files enqueued for processing."}),"\n",(0,o.jsx)(n.h3,{id:"ingestion-performance-expectations",children:"Ingestion performance expectations"}),"\n",(0,o.jsx)(n.p,{children:"The following performance test was conducted with Docling Serve."}),"\n",(0,o.jsx)(n.p,{children:"On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.\nThis equates to approximately 2.4 documents per second."}),"\n",(0,o.jsx)(n.p,{children:"You can generally expect equal or better performance on developer laptops, and significantly faster performance on servers.\nThroughput scales with CPU cores, memory, storage speed, and configuration choices, such as the embedding model, chunk size, overlap, and concurrency."}),"\n",(0,o.jsx)(n.p,{children:"This test returned 12 error, approximately 1.1 percent of the total files ingested.\nAll errors were file-specific, and they didn't stop the pipeline."}),"\n",(0,o.jsxs)(s,{children:[(0,o.jsx)("summary",{children:"Ingestion performance test details"}),(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Ingestion dataset:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Total files: 1,083 items mounted"}),"\n",(0,o.jsx)(n.li,{children:"Total size on disk: 5,026,474,862 bytes (approximately 5.03 GB)"}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Hardware specifications:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Machine: Apple M4 Pro"}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Podman VM:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Name: podman-machine-default"}),"\n",(0,o.jsx)(n.li,{children:"Type: applehv"}),"\n",(0,o.jsx)(n.li,{children:"vCPUs: 7"}),"\n",(0,o.jsx)(n.li,{children:"Memory: 8 GiB"}),"\n",(0,o.jsx)(n.li,{children:"Disk size: 100 GiB"}),"\n"]}),"\n"]}),"\n"]}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Test results:"}),"\n",(0,o.jsx)(n.pre,{children:(0,o.jsx)(n.code,{className:"language-text",children:"2025-09-24T22:40:45.542190Z /app/src/main.py:231 Ingesting default documents when ready disable_langflow_ingest=False\n2025-09-24T22:40:45.546385Z /app/src/main.py:270 Using Langflow ingestion pipeline for default documents file_count=1082\n...\n2025-09-24T23:19:44.866365Z /app/src/main.py:351 Langflow ingestion completed success_count=1070 error_count=12 total_files=1082\n"})}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Elapsed time: Approximately 42 minutes 15 seconds (2,535 seconds)"}),"\n"]}),"\n",(0,o.jsxs)(n.li,{children:["\n",(0,o.jsx)(n.p,{children:"Throughput: Approximately 2.4 documents per second"}),"\n"]}),"\n"]})]}),"\n",(0,o.jsx)(n.h2,{id:"troubleshoot-ingestion",children:"Troubleshoot ingestion"}),"\n",(0,o.jsx)(n.p,{children:"The following issues can occur during document ingestion."}),"\n",(0,o.jsx)(n.h3,{id:"failed-or-slow-ingestion",children:"Failed or slow ingestion"}),"\n",(0,o.jsx)(n.p,{children:"If an ingestion task fails, do the following:"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Make sure you uploaded only supported file types."}),"\n",(0,o.jsx)(n.li,{children:"Split very large files into smaller files."}),"\n",(0,o.jsx)(n.li,{children:"Remove unusual or complex embedded content, such as videos or animations. Although Docling can replace some non-text content with placeholders during ingestion, some embedded content might cause errors."}),"\n",(0,o.jsxs)(n.li,{children:["Make sure your Podman/Docker VM has sufficient memory for the ingestion tasks.\nThe minimum recommendation is 8 GB of RAM.\nIf you regularly upload large files, more RAM is recommended.\nFor more information, see ",(0,o.jsx)(n.a,{href:"/support/troubleshoot#memory-issue-with-podman-on-macos",children:"Memory issue with Podman on macOS"})," and ",(0,o.jsx)(n.a,{href:"/support/troubleshoot#container-out-of-memory-errors",children:"Container out of memory errors"}),"."]}),"\n",(0,o.jsxs)(n.li,{children:["If OCR ingestion fails due to OCR missing, see ",(0,o.jsx)(n.a,{href:"/support/troubleshoot#ocr-ingestion-fails-easyocr-not-installed",children:"OCR ingestion fails (easyocr not installed)"}),"."]}),"\n"]}),"\n",(0,o.jsx)(n.h3,{id:"problems-when-referencing-documents-in-chat",children:"Problems when referencing documents in chat"}),"\n",(0,o.jsxs)(n.p,{children:["If the OpenRAG ",(0,o.jsx)(n.strong,{children:"Chat"})," doesn't seem to use your documents correctly, ",(0,o.jsx)(n.a,{href:"/knowledge#browse-knowledge",children:"browse your knowledge base"})," to confirm that the documents are uploaded in full, and the chunks are correct."]}),"\n",(0,o.jsxs)(n.p,{children:["If the documents are present and well-formed, check your ",(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"knowledge filters"}),".\nIf you applied a filter to the chat, make sure the expected documents aren't excluded by the filter settings.\nYou can test this by applying the filter when you ",(0,o.jsx)(n.a,{href:"/knowledge#browse-knowledge",children:"browse the knowledge base"}),".\nIf the filter excludes any documents, the agent cannot access those documents.\nBe aware that some settings create dynamic filters that don't always produce the same results, such as a ",(0,o.jsx)(n.strong,{children:"Search query"})," combined with a low ",(0,o.jsx)(n.strong,{children:"Response limit"}),"."]}),"\n",(0,o.jsxs)(n.p,{children:["If the document chunks have missing, incorrect, or unexpected text, you must ",(0,o.jsx)(n.a,{href:"/knowledge#delete-knowledge",children:"delete the documents"})," from your knowledge base, modify the ",(0,o.jsx)(n.a,{href:"/knowledge#knowledge-ingestion-settings",children:"ingestion parameters"})," or the documents themselves, and then reingest the documents.\nFor example:"]}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:"Break combined documents into separate files for better metadata context."}),"\n",(0,o.jsxs)(n.li,{children:["Make sure scanned documents are legible enough for extraction, and enable the ",(0,o.jsx)(n.strong,{children:"OCR"})," option. Poorly scanned documents might require additional preparation or rescanning before ingestion."]}),"\n",(0,o.jsxs)(n.li,{children:["Adjust the ",(0,o.jsx)(n.strong,{children:"Chunk size"})," and ",(0,o.jsx)(n.strong,{children:"Chunk overlap"})," settings to better suit your documents. Larger chunks provide more context but can include irrelevant information, while smaller chunks yield more precise semantic search but can lack context."]}),"\n"]}),"\n",(0,o.jsx)(n.h2,{id:"see-also",children:"See also"}),"\n",(0,o.jsxs)(n.ul,{children:["\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/knowledge",children:"Configure knowledge"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/knowledge-filters",children:"Filter knowledge"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/chat",children:"Chat with knowledge"})}),"\n",(0,o.jsx)(n.li,{children:(0,o.jsx)(n.a,{href:"/agents#inspect-and-modify-flows",children:"Inspect and modify flows"})}),"\n"]})]})}function y(e={}){const{wrapper:n}={...(0,r.R)(),...e.components};return n?(0,o.jsx)(n,{...e,children:(0,o.jsx)(w,{...e})}):w(e)}},8401:(e,n,s)=>{s.d(n,{Ay:()=>a,RM:()=>i});var t=s(4848),o=s(8453),r=s(9179);const i=[];function l(e){const n={p:"p",strong:"strong",...(0,o.R)(),...e.components};return(0,t.jsxs)(n.p,{children:["When using the OpenRAG ",(0,t.jsx)(n.strong,{children:"Chat"}),", click ",(0,t.jsx)(r.A,{name:"Plus","aria-hidden":"true"})," ",(0,t.jsx)(n.strong,{children:"Add"})," in the chat input field to upload a file to the current chat session.\nFiles added this way are processed and made available to the agent for the current conversation only.\nThese files aren't stored in the knowledge base permanently."]})}function a(e={}){const{wrapper:n}={...(0,o.R)(),...e.components};return n?(0,t.jsx)(n,{...e,children:(0,t.jsx)(l,{...e})}):l(e)}},9179:(e,n,s)=>{s.d(n,{A:()=>r});s(6540);var t=s(7856),o=s(4848);function r({name:e,...n}){const s=t[e];return s?(0,o.jsx)(s,{...n}):null}},9365:(e,n,s)=>{s.d(n,{A:()=>i});s(6540);var t=s(4164);const o={tabItem:"tabItem_Ymn6"};var r=s(4848);function i({children:e,hidden:n,className:s}){return(0,r.jsx)("div",{role:"tabpanel",className:(0,t.A)(o.tabItem,s),hidden:n,children:e})}}}]);
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-<p>The OpenRAG <strong>Chat</strong> uses an LLM-powered agent to understand your queries, retrieve relevant information from your knowledge base, and generate context-aware responses.
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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">Chat</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>Chat in OpenRAG</h1></header><p>After you <a class="" href="/ingestion">upload documents to your knowledge base</a>, you can use the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong> feature to interact with your knowledge through natural language queries.</p>
+<p>The OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong> uses an LLM-powered agent to understand your queries, retrieve relevant information from your knowledge base, and generate context-aware responses.
 The agent can also fetch information from URLs and new documents that you provide during the chat session.
 To limit the knowledge available to the agent, use <a class="" href="/knowledge-filters">filters</a>.</p>
 <p>The agent can call specialized Model Context Protocol (MCP) tools to extend its capabilities.
 To add or change the available tools, you must edit the <a href="#flow" class=""><strong>OpenRAG OpenSearch Agent</strong> flow</a>.</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>Try chatting, uploading documents, and modifying chat settings in the <a class="" href="/quickstart">quickstart</a>.</p></div></div>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="flow">OpenRAG OpenSearch Agent flow<a href="#flow" class="hash-link" aria-label="Direct link to OpenRAG OpenSearch Agent flow" title="Direct link to OpenRAG OpenSearch Agent flow" translate="no">​</a></h2>
-<p>When you use the OpenRAG <strong>Chat</strong>, the <strong>OpenRAG OpenSearch Agent</strong> flow runs in the background to retrieve relevant information from your knowledge base and generate a response.</p>
+<p>When you use the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>, the <strong>OpenRAG OpenSearch Agent</strong> flow runs in the background to retrieve relevant information from your knowledge base and generate a response.</p>
 <p>If you <a class="" href="/agents#inspect-and-modify-flows">inspect the flow in Langflow</a>, you&#x27;ll see that it is comprised of eight components that work together to ingest chat messages, retrieve relevant information from your knowledge base, and then generate responses.
 When you inspect this flow, you can edit the components to customize the agent&#x27;s behavior.</p>
 <p><img decoding="async" loading="lazy" alt="OpenRAG Open Search Agent Flow" src="/assets/images/opensearch-agent-flow-f3b279e02425cd043002eb7749067108.png" width="4084" height="2176" class="img_ev3q"></p>
 <ul>
 <li class="">
 <p><a href="https://docs.langflow.org/chat-input-and-output#chat-input" target="_blank" rel="noopener noreferrer" class=""><strong>Chat Input</strong> component</a>: This component starts the flow when it receives a chat message. It is connected to the <strong>Agent</strong> component&#x27;s <strong>Input</strong> port.
-When you use the OpenRAG <strong>Chat</strong>, your chat messages are passed to the <strong>Chat Input</strong> component, which then sends them to the <strong>Agent</strong> component for processing.</p>
+When you use the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>, your chat messages are passed to the <strong>Chat Input</strong> component, which then sends them to the <strong>Agent</strong> component for processing.</p>
 </li>
 <li class="">
 <p><a href="https://docs.langflow.org/components-agents" target="_blank" rel="noopener noreferrer" class=""><strong>Agent</strong> component</a>: This component orchestrates the entire flow by processing chat messages, searching the knowledge base, and organizing the retrieved information into a cohesive response.
@@ -65,12 +65,16 @@ If no knowledge filter is set, then the <code>OPENRAG-QUERY-FILTER</code> variab
 </li>
 </ul>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="nudges">Nudges<a href="#nudges" class="hash-link" aria-label="Direct link to Nudges" title="Direct link to Nudges" translate="no">​</a></h2>
-<p>When you use the OpenRAG <strong>Chat</strong>, the <strong>OpenRAG OpenSearch Nudges</strong> flow runs in the background to pull additional context from your knowledge base and chat history.</p>
-<p>Nudges appear as prompts in the chat.
-Click a nudge to accept it and provide the nudge&#x27;s context to the OpenRAG <strong>Chat</strong> agent (the <strong>OpenRAG OpenSearch Agent</strong> flow).</p>
-<p>Like OpenRAG&#x27;s other built-in flows, you can <a class="" href="/agents#inspect-and-modify-flows">inspect the flow in Langflow</a>, and you can customize it if you want to change the nudge behavior.</p>
+<p>When you use the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>, the <strong>OpenRAG OpenSearch Nudges</strong> flow runs in the background to pull additional context from your knowledge base and chat history.</p>
+<p>Nudges appear as prompts in the chat, and they are based on the contents of your OpenRAG OpenSearch knowledge base.
+Click a nudge to accept it and start a chat based on the nudge.</p>
+<p>Like OpenRAG&#x27;s other built-in flows, you can <a class="" href="/agents#inspect-and-modify-flows">inspect the flow in Langflow</a>, and you can customize it if you want to change the nudge behavior.
+However, this flow is specifically designed to work with the OpenRAG chat and knowledge base.
+Major changes to this flow might break the nudge functionality or produce irrelevant nudges.</p>
+<p>The <strong>Nudges</strong> flow consists of <strong>Embedding model</strong>, <strong>Language model</strong>, <strong>OpenSearch</strong>, *<em>Input/Output</em>, and other components that browse your knowledge base, identify key themes and possible insights, and then produce prompts based on the findings.</p>
+<p>For example, if your knowledge base contains documents about cybersecurity, possible nudges might include <code>Explain zero trust architecture principles</code> or <code>How to identify a social engineering attack</code>.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="upload-documents-to-the-chat">Upload documents to the chat<a href="#upload-documents-to-the-chat" class="hash-link" aria-label="Direct link to Upload documents to the chat" title="Direct link to Upload documents to the chat" translate="no">​</a></h2>
-<p>When using the OpenRAG <strong>Chat</strong>, 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> in the chat input field to upload a file to the current chat session.
+<p>When using the OpenRAG <strong>Chat</strong>, 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Add</strong> in the chat input field to upload a file to the current chat session.
 Files added this way are processed and made available to the agent for the current conversation only.
 These files aren&#x27;t stored in the knowledge base permanently.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="inspect-tool-calls-and-knowledge">Inspect tool calls and knowledge<a href="#inspect-tool-calls-and-knowledge" class="hash-link" aria-label="Direct link to Inspect tool calls and knowledge" title="Direct link to Inspect tool calls and knowledge" translate="no">​</a></h2>
@@ -83,7 +87,7 @@ To simplify this integration, you can get pre-configured code snippets directly
 <p>The following example demonstrates how to generate and use code snippets for the <strong>OpenRAG OpenSearch Agent</strong> flow:</p>
 <ol>
 <li class="">
-<p>Open the <strong>OpenRAG OpenSearch Agent</strong> flow in the Langflow visual editor: From the <strong>Chat</strong> window, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>, click <strong>Edit in Langflow</strong>, and then click <strong>Proceed</strong>.</p>
+<p>Open the <strong>OpenRAG OpenSearch Agent</strong> flow in the Langflow visual editor: 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>, click <strong>Edit in Langflow</strong>, and then click <strong>Proceed</strong>.</p>
 </li>
 <li class="">
 <p>Optional: If you don&#x27;t want to use the Langflow API key that is generated automatically when you install OpenRAG, you can create a <a href="https://docs.langflow.org/api-keys-and-authentication" target="_blank" rel="noopener noreferrer" class="">Langflow API key</a>.
diff --git a/docker/index.html b/docker/index.html
index c1e40dab..827ab50b 100644
--- a/docker/index.html
+++ b/docker/index.html
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breadcrumbs__item--active"><span class="breadcrumbs__link">Deploy self-managed services</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>Deploy OpenRAG with self-managed services</h1></header><p>To manage your own OpenRAG services, deploy OpenRAG with Docker or Podman.</p>
 <p>Use this installation method if you don&#x27;t want to <a class="" href="/tui">use the Terminal User Interface (TUI)</a>, or you need to run OpenRAG in an environment where using the TUI is unfeasible.</p>
 <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>
 <ul>
@@ -147,15 +147,17 @@ The following variables are required or recommended:</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="start-services">Start services<a href="#start-services" class="hash-link" aria-label="Direct link to Start services" title="Direct link to Start services" translate="no">​</a></h2>
 <ol>
 <li class="">
-<p>Start <code>docling serve</code> on port 5001 on the host machine:</p>
+<p>To use the default Docling Serve implementation, start <code>docling serve</code> on port 5001 on the host machine using the included script:</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 </span><span class="token parameter variable" style="color:#36acaa">--port</span><span class="token plain"> </span><span class="token number" style="color:#36acaa">5001</span><br></span></code></pre></div></div>
 <p>Docling cannot run inside a Docker container due to system-level dependencies, so you must manage it as a separate service on the host machine.
 For more information, see <a class="" href="/manage-services#start-native-services">Stop, start, and inspect native services</a>.</p>
-<p>This port is required to deploy OpenRAG successfully; don&#x27;t use a different port.
+<p>Port 5001 is required to deploy OpenRAG successfully; don&#x27;t use a different port.
 Additionally, this enables the <a href="https://opensource.apple.com/projects/mlx/" target="_blank" rel="noopener noreferrer" class="">MLX framework</a> for accelerated performance on Apple Silicon Mac machines.</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>If you don&#x27;t want to use the default Docling Serve implementation, see <a class="" href="/knowledge#select-a-docling-implementation">Select a Docling implementation</a>.</p></div></div>
 </li>
 <li class="">
 <p>Confirm <code>docling serve</code> is running.</p>
+<p>The following command checks the status of the default Docling Serve implementation:</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 status</span><br></span></code></pre></div></div>
 <p>If <code>docling serve</code> is running, the output includes the status, address, and process ID (PID):</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: </span><span class="token number" style="color:#36acaa">27746</span><br></span></code></pre></div></div>
@@ -177,7 +179,7 @@ Additionally, this enables the <a href="https://opensource.apple.com/projects/ml
 <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>
+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 Docling Serve service.</p></div></div>
 </li>
 <li class="">
 <p>Wait for the OpenRAG containers to start, and then confirm that all containers are running:</p>
diff --git a/index.html b/index.html
index 50885ecd..fad435a8 100644
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+<script src="/assets/js/runtime~main.a09b72d8.js" defer="defer"></script>
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class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Ingest knowledge</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>Ingest knowledge</h1></header><p>Upload documents to your <a class="" href="/knowledge">OpenRAG OpenSearch instance</a> to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.
+<script>!function(){var t=function(){try{return new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}}()||function(){try{return window.localStorage.getItem("theme")}catch(t){}}();document.documentElement.setAttribute("data-theme",t||"light"),document.documentElement.setAttribute("data-theme-choice",t||"light")}(),function(){try{const c=new URLSearchParams(window.location.search).entries();for(var[t,e]of c)if(t.startsWith("docusaurus-data-")){var a=t.replace("docusaurus-data-","data-");document.documentElement.setAttribute(a,e)}}catch(t){}}()</script><div id="__docusaurus"><link rel="preload" as="image" href="/img/logo-openrag-light.svg"><link rel="preload" as="image" href="/img/logo-openrag-dark.svg"><div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><nav aria-label="Main" class="theme-layout-navbar navbar navbar--fixed-top"><div class="navbar__inner"><div 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class="menu__list-item-collapsible"><a class="categoryLink_byQd menu__link menu__link--sublist menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" href="/knowledge"><span title="Knowledge" class="categoryLinkLabel_W154">Knowledge</span></a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/knowledge"><span title="Configure knowledge" class="linkLabel_WmDU">Configure knowledge</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/ingestion"><span title="Ingest knowledge" class="linkLabel_WmDU">Ingest knowledge</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/knowledge-filters"><span title="Filter knowledge" class="linkLabel_WmDU">Filter knowledge</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/chat"><span title="Chat" class="linkLabel_WmDU">Chat</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/configuration"><span title="Environment variables" class="linkLabel_WmDU">Environment variables</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link 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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"><span class="breadcrumbs__link">Knowledge</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Ingest knowledge</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>Ingest knowledge</h1></header><p>Upload documents to your <a class="" href="/knowledge">OpenRAG OpenSearch instance</a> to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.
 Documents are processed through OpenRAG&#x27;s knowledge ingestion flows with Docling.</p>
 <p>OpenRAG can ingest knowledge from direct file uploads, URLs, and OAuth authenticated connectors.</p>
 <p>Knowledge ingestion is powered by OpenRAG&#x27;s built-in knowledge ingestion flows that use Docling to process documents before storing the documents in your OpenSearch database.
@@ -71,7 +71,7 @@ By default, this flow uses Docling Serve to import and process documents.</p><p>
 </ul></div></div></details>
 <p>You can <a href="#monitor-ingestion" class="">monitor ingestion</a> to see the progress of the uploads and check for failed uploads.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="ingest-local-files-temporarily">Ingest local files temporarily<a href="#ingest-local-files-temporarily" class="hash-link" aria-label="Direct link to Ingest local files temporarily" title="Direct link to Ingest local files temporarily" translate="no">​</a></h2>
-<p>When using the OpenRAG <strong>Chat</strong>, 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> in the chat input field to upload a file to the current chat session.
+<p>When using the OpenRAG <strong>Chat</strong>, 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Add</strong> in the chat input field to upload a file to the current chat session.
 Files added this way are processed and made available to the agent for the current conversation only.
 These files aren&#x27;t stored in the knowledge base permanently.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="oauth-ingestion">Ingest files with OAuth connectors<a href="#oauth-ingestion" class="hash-link" aria-label="Direct link to Ingest files with OAuth connectors" title="Direct link to Ingest files with OAuth connectors" translate="no">​</a></h2>
@@ -212,29 +212,30 @@ The agent can call this component to fetch web content from a given URL, and the
 Like all OpenRAG flows, you can <a class="" href="/agents#inspect-and-modify-flows">inspect the flow in Langflow</a>, and you can customize it.
 For more information about MCP in Langflow, see the Langflow documentation on <a href="https://docs.langflow.org/mcp-client" target="_blank" rel="noopener noreferrer" class="">MCP clients</a> and <a href="https://docs.langflow.org/mcp-tutorial" target="_blank" rel="noopener noreferrer" class="">MCP servers</a>.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="monitor-ingestion">Monitor ingestion<a href="#monitor-ingestion" class="hash-link" aria-label="Direct link to Monitor ingestion" title="Direct link to Monitor ingestion" translate="no">​</a></h2>
-<p>Document ingestion tasks run in the background.</p>
+<p>Depending on the amount of data to ingest, document ingestion can take a few seconds, minutes, or longer.
+For this reason, document ingestion tasks run in the background.</p>
 <p>In the OpenRAG user interface, a badge is shown on <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-bell" aria-hidden="true"><path d="M10.268 21a2 2 0 0 0 3.464 0"></path><path d="M3.262 15.326A1 1 0 0 0 4 17h16a1 1 0 0 0 .74-1.673C19.41 13.956 18 12.499 18 8A6 6 0 0 0 6 8c0 4.499-1.411 5.956-2.738 7.326"></path></svg> <strong>Tasks</strong> when OpenRAG tasks are active.
-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-bell" aria-hidden="true"><path d="M10.268 21a2 2 0 0 0 3.464 0"></path><path d="M3.262 15.326A1 1 0 0 0 4 17h16a1 1 0 0 0 .74-1.673C19.41 13.956 18 12.499 18 8A6 6 0 0 0 6 8c0 4.499-1.411 5.956-2.738 7.326"></path></svg> <strong>Tasks</strong> to inspect and cancel tasks:</p>
+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-bell" aria-hidden="true"><path d="M10.268 21a2 2 0 0 0 3.464 0"></path><path d="M3.262 15.326A1 1 0 0 0 4 17h16a1 1 0 0 0 .74-1.673C19.41 13.956 18 12.499 18 8A6 6 0 0 0 6 8c0 4.499-1.411 5.956-2.738 7.326"></path></svg> <strong>Tasks</strong> to inspect and cancel tasks.
+Tasks are separated into multiple sections:</p>
 <ul>
 <li class="">
-<p><strong>Active Tasks</strong>: All tasks that are <strong>Pending</strong>, <strong>Running</strong>, or <strong>Processing</strong>.
-For each active task, depending on its state, you can find the task ID, start time, duration, number of files processed, and the total files enqueued for processing.</p>
+<p>The <strong>Active Tasks</strong> section includes all tasks that are <strong>Pending</strong>, <strong>Running</strong>, or <strong>Processing</strong>:</p>
+<ul>
+<li class=""><strong>Pending</strong>: The task is queued and waiting to start.</li>
+<li class=""><strong>Running</strong>: The task is actively processing files.</li>
+<li class=""><strong>Processing</strong>: The task is performing ingestion operations.</li>
+</ul>
+<p>To stop an active task, 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-x" aria-hidden="true"><path d="M18 6 6 18"></path><path d="m6 6 12 12"></path></svg> <strong>Cancel</strong>. Canceling a task stops processing immediately and marks the ingestion as failed.</p>
 </li>
 <li class="">
-<p><strong>Pending</strong>: The task is queued and waiting to start.</p>
-</li>
-<li class="">
-<p><strong>Running</strong>: The task is actively processing files.</p>
-</li>
-<li class="">
-<p><strong>Processing</strong>: The task is performing ingestion operations.</p>
-</li>
-<li class="">
-<p><strong>Failed</strong>: Something went wrong during ingestion, or the task was manually canceled.
-For troubleshooting advice, see <a href="#troubleshoot-ingestion" class="">Troubleshoot ingestion</a>.</p>
+<p>The <strong>Recent Tasks</strong> section lists recently finished tasks.</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><strong>Completed</strong> doesn&#x27;t mean success.</p><p>A completed task can report successful ingestions, failed ingestions, or both, depending on the number of files processed.</p></div></div>
+<p>Check the <strong>Success</strong> and <strong>Failed</strong> counts for each completed task to determine the overall success rate.</p>
+<p><strong>Failed</strong> means something went wrong during ingestion, or the task was manually canceled.
+For more information, see <a href="#troubleshoot-ingestion" class="">Troubleshoot ingestion</a>.</p>
 </li>
 </ul>
-<p>To stop an active task, 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-x" aria-hidden="true"><path d="M18 6 6 18"></path><path d="m6 6 12 12"></path></svg> <strong>Cancel</strong>. Canceling a task stops processing immediately and marks the task as <strong>Failed</strong>.</p>
+<p>For each task, depending on its state, you can find the task ID, start time, duration, number of files processed successfully, number of files that failed, and the number of files enqueued for processing.</p>
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="ingestion-performance-expectations">Ingestion performance expectations<a href="#ingestion-performance-expectations" class="hash-link" aria-label="Direct link to Ingestion performance expectations" title="Direct link to Ingestion performance expectations" translate="no">​</a></h3>
 <p>The following performance test was conducted with Docling Serve.</p>
 <p>On a local VM with 7 vCPUs and 8 GiB RAM, OpenRAG ingested approximately 5.03 GB across 1,083 files in about 42 minutes.
@@ -285,9 +286,9 @@ All errors were file-specific, and they didn&#x27;t stop the pipeline.</p>
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="failed-or-slow-ingestion">Failed or slow ingestion<a href="#failed-or-slow-ingestion" class="hash-link" aria-label="Direct link to Failed or slow ingestion" title="Direct link to Failed or slow ingestion" translate="no">​</a></h3>
 <p>If an ingestion task fails, do the following:</p>
 <ul>
-<li class="">Make sure you are uploading supported file types.</li>
-<li class="">Split excessively large files into smaller files before uploading.</li>
-<li class="">Remove unusual embedded content, such as videos or animations, before uploading. Although Docling can replace some non-text content with placeholders during ingestion, some embedded content might cause errors.</li>
+<li class="">Make sure you uploaded only supported file types.</li>
+<li class="">Split very large files into smaller files.</li>
+<li class="">Remove unusual or complex embedded content, such as videos or animations. Although Docling can replace some non-text content with placeholders during ingestion, some embedded content might cause errors.</li>
 <li class="">Make sure your Podman/Docker VM has sufficient memory for the ingestion tasks.
 The minimum recommendation is 8 GB of RAM.
 If you regularly upload large files, more RAM is recommended.
@@ -297,16 +298,17 @@ For more information, see <a class="" href="/support/troubleshoot#memory-issue-w
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="problems-when-referencing-documents-in-chat">Problems when referencing documents in chat<a href="#problems-when-referencing-documents-in-chat" class="hash-link" aria-label="Direct link to Problems when referencing documents in chat" title="Direct link to Problems when referencing documents in chat" translate="no">​</a></h3>
 <p>If the OpenRAG <strong>Chat</strong> doesn&#x27;t seem to use your documents correctly, <a class="" href="/knowledge#browse-knowledge">browse your knowledge base</a> to confirm that the documents are uploaded in full, and the chunks are correct.</p>
 <p>If the documents are present and well-formed, check your <a class="" href="/knowledge-filters">knowledge filters</a>.
-If a global filter is applied, make sure the expected documents are included in the global filter.
-If the global filter excludes any documents, the agent cannot access those documents unless you apply a chat-level filter or change the global filter.</p>
-<p>If text is missing or incorrectly processed, you need to reupload the documents after modifying the ingestion parameters or the documents themselves.
+If you applied a filter to the chat, make sure the expected documents aren&#x27;t excluded by the filter settings.
+You can test this by applying the filter when you <a class="" href="/knowledge#browse-knowledge">browse the knowledge base</a>.
+If the filter excludes any documents, the agent cannot access those documents.
+Be aware that some settings create dynamic filters that don&#x27;t always produce the same results, such as a <strong>Search query</strong> combined with a low <strong>Response limit</strong>.</p>
+<p>If the document chunks have missing, incorrect, or unexpected text, you must <a class="" href="/knowledge#delete-knowledge">delete the documents</a> from your knowledge base, modify the <a class="" href="/knowledge#knowledge-ingestion-settings">ingestion parameters</a> or the documents themselves, and then reingest the documents.
 For example:</p>
 <ul>
 <li class="">Break combined documents into separate files for better metadata context.</li>
 <li class="">Make sure scanned documents are legible enough for extraction, and enable the <strong>OCR</strong> option. Poorly scanned documents might require additional preparation or rescanning before ingestion.</li>
-<li class="">Adjust the <strong>Chunk Size</strong> and <strong>Chunk Overlap</strong> settings to better suit your documents. Larger chunks provide more context but can include irrelevant information, while smaller chunks yield more precise semantic search but can lack context.</li>
+<li class="">Adjust the <strong>Chunk size</strong> and <strong>Chunk overlap</strong> settings to better suit your documents. Larger chunks provide more context but can include irrelevant information, while smaller chunks yield more precise semantic search but can lack context.</li>
 </ul>
-<p>For more information about modifying ingestion parameters and flows, see <a class="" href="/knowledge#knowledge-ingestion-settings">Knowledge ingestion settings</a>.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also" translate="no">​</a></h2>
 <ul>
 <li class=""><a class="" href="/knowledge">Configure knowledge</a></li>
diff --git a/install-options/index.html b/install-options/index.html
index 3407188b..0d70f88b 100644
--- a/install-options/index.html
+++ b/install-options/index.html
@@ -10,14 +10,14 @@
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 <script>window._ibmAnalytics={settings:{name:"DataStax",tealiumProfileName:"ibm-subsidiary"},trustarc:{privacyPolicyLink:"https://ibm.com/privacy"}},window.digitalData={page:{pageInfo:{ibm:{siteId:"IBM_DataStax"}},category:{primaryCategory:"PC230"}}}</script>
 <script src="//1.www.s81c.com/common/stats/ibm-common.js" async="true"></script><link rel="stylesheet" href="/assets/css/styles.29e42e49.css">
-<script src="/assets/js/runtime~main.eb2f25cb.js" defer="defer"></script>
+<script src="/assets/js/runtime~main.a09b72d8.js" defer="defer"></script>
 <script src="/assets/js/main.e1ba3126.js" defer="defer"></script>
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class="linkLabel_WmDU">Upgrade OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/reinstall"><span title="Reinstall OpenRAG" class="linkLabel_WmDU">Reinstall OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/uninstall"><span title="Remove OpenRAG" class="linkLabel_WmDU">Remove OpenRAG</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link 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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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Select an installation method</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>Select an installation method</h1></header><p>The <a class="" href="/#openrag-architecture">OpenRAG architecture</a> is lightweight and container-based with a central OpenRAG backend that orchestrates the various services and external connectors.
+<script>!function(){var t=function(){try{return new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}}()||function(){try{return window.localStorage.getItem("theme")}catch(t){}}();document.documentElement.setAttribute("data-theme",t||"light"),document.documentElement.setAttribute("data-theme-choice",t||"light")}(),function(){try{const c=new URLSearchParams(window.location.search).entries();for(var[t,e]of c)if(t.startsWith("docusaurus-data-")){var a=t.replace("docusaurus-data-","data-");document.documentElement.setAttribute(a,e)}}catch(t){}}()</script><div id="__docusaurus"><link rel="preload" as="image" href="/img/logo-openrag-light.svg"><link rel="preload" as="image" href="/img/logo-openrag-dark.svg"><div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><nav aria-label="Main" class="theme-layout-navbar navbar navbar--fixed-top"><div class="navbar__inner"><div 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class="linkLabel_WmDU">Install OpenRAG with uv</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-uvx"><span title="Invoke OpenRAG with uvx" class="linkLabel_WmDU">Invoke OpenRAG with uvx</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-windows"><span title="Install OpenRAG on Windows" class="linkLabel_WmDU">Install OpenRAG on Windows</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docker"><span title="Deploy self-managed services" class="linkLabel_WmDU">Deploy self-managed services</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/upgrade"><span title="Upgrade OpenRAG" class="linkLabel_WmDU">Upgrade OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/reinstall"><span title="Reinstall OpenRAG" class="linkLabel_WmDU">Reinstall OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/uninstall"><span title="Remove OpenRAG" class="linkLabel_WmDU">Remove OpenRAG</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link 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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a href="https://github.com/langflow-ai/openrag/releases" target="_blank" rel="noopener noreferrer" class="menu__link menuExternalLink_NmtK"><span title="Changelog" class="linkLabel_WmDU">Changelog</span><svg 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breadcrumbs__item--active"><span class="breadcrumbs__link">Select an installation method</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>Select an installation method</h1></header><p>The <a class="" href="/#openrag-architecture">OpenRAG architecture</a> is lightweight and container-based with a central OpenRAG backend that orchestrates the various services and external connectors.
 Depending on your use case, OpenRAG can assist with service management, or you can manage the services yourself.</p>
 <p>Select the installation method that best fits your needs:</p>
 <ul>
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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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Install OpenRAG with uv</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 in a Python project with uv</h1></header><p>Use <a href="https://docs.astral.sh/uv/getting-started/installation/" target="_blank" rel="noopener noreferrer" class=""><code>uv</code></a> to install OpenRAG as a managed or unmanaged dependency in a new or existing Python project.</p>
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class="linkLabel_WmDU">Upgrade OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/reinstall"><span title="Reinstall OpenRAG" class="linkLabel_WmDU">Reinstall OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/uninstall"><span title="Remove OpenRAG" class="linkLabel_WmDU">Remove OpenRAG</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link 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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a href="https://github.com/langflow-ai/openrag/releases" target="_blank" rel="noopener noreferrer" class="menu__link menuExternalLink_NmtK"><span title="Changelog" class="linkLabel_WmDU">Changelog</span><svg 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breadcrumbs__item--active"><span class="breadcrumbs__link">Install OpenRAG with uv</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 in a Python project with uv</h1></header><p>Use <a href="https://docs.astral.sh/uv/getting-started/installation/" target="_blank" rel="noopener noreferrer" class=""><code>uv</code></a> to install OpenRAG as a managed or unmanaged dependency in a new or existing Python project.</p>
 <p>When you install OpenRAG with <code>uv</code>, you will use the <a class="" href="/tui">Terminal User Interface (TUI)</a> to configure and manage your OpenRAG deployment.</p>
 <p>For other installation methods, see <a class="" href="/install-options">Select an installation method</a>.</p>
 <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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noreferrer" class=""><code>uvx</code></a> to invoke OpenRAG outside of a Python project or without modifying your project&#x27;s dependencies.</p>
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breadcrumbs__item--active"><span class="breadcrumbs__link">Invoke OpenRAG with uvx</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>Invoke OpenRAG with uvx</h1></header><p>Use <a href="https://docs.astral.sh/uv/guides/tools/#running-tools" target="_blank" rel="noopener noreferrer" class=""><code>uvx</code></a> to invoke OpenRAG outside of a Python project or without modifying your project&#x27;s dependencies.</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>The <a class="" href="/install">automatic installer script</a> also uses <code>uvx</code> to install OpenRAG.</p></div></div>
 <p>When you install OpenRAG with <code>uvx</code>, you will use the <a class="" href="/tui">Terminal User Interface (TUI)</a> to configure and manage your OpenRAG deployment.</p>
 <p>This installation method is best for testing OpenRAG by running it outside of a Python project.
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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a href="https://github.com/langflow-ai/openrag/releases" target="_blank" rel="noopener noreferrer" class="menu__link menuExternalLink_NmtK"><span title="Changelog" class="linkLabel_WmDU">Changelog</span><svg width="13.5" height="13.5" aria-label="(opens in new tab)" class="iconExternalLink_nPIU"><use href="#theme-svg-external-link"></use></svg></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Install OpenRAG on Windows</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 on Microsoft Windows</h1></header><p>If you&#x27;re using Windows, you must install OpenRAG within the Windows Subsystem for Linux (WSL).</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>Nested virtualization isn&#x27;t supported.</p><p>OpenRAG isn&#x27;t compatible with nested virtualization, which can cause networking issues.
 Don&#x27;t install OpenRAG on a WSL distribution that is installed inside a Windows VM.
 Instead, install OpenRAG on your base OS or a non-nested Linux VM.</p></div></div>
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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Run the installer script</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 with the automatic installer script</h1></header><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>To quickly install and test OpenRAG&#x27;s core features, try the <a class="" href="/quickstart">quickstart</a>.</p></div></div>
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class="linkLabel_WmDU">Upgrade OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/reinstall"><span title="Reinstall OpenRAG" class="linkLabel_WmDU">Reinstall OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/uninstall"><span title="Remove OpenRAG" class="linkLabel_WmDU">Remove OpenRAG</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link 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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a href="https://github.com/langflow-ai/openrag/releases" target="_blank" rel="noopener noreferrer" class="menu__link menuExternalLink_NmtK"><span title="Changelog" class="linkLabel_WmDU">Changelog</span><svg width="13.5" height="13.5" aria-label="(opens in new tab)" class="iconExternalLink_nPIU"><use href="#theme-svg-external-link"></use></svg></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Run the installer script</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 with the automatic installer script</h1></header><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>To quickly install and test OpenRAG&#x27;s core features, try the <a class="" href="/quickstart">quickstart</a>.</p></div></div>
 <p>The installer script installs <code>uv</code>, Docker or Podman, Docker Compose, and OpenRAG.
 Then, it installs and runs OpenRAG with <code>uvx</code>.</p>
 <p>When you install OpenRAG with the installer script, you will use the <a class="" href="/tui">Terminal User Interface (TUI)</a> to configure and manage your OpenRAG deployment.</p>
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class="linkLabel_WmDU">Filter knowledge</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/chat"><span title="Chat" class="linkLabel_WmDU">Chat</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/configuration"><span title="Environment variables" class="linkLabel_WmDU">Environment variables</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link 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class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Filter knowledge</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>Filter knowledge</h1></header><p>OpenRAG&#x27;s knowledge filters help you organize and manage your <a class="" href="/knowledge">knowledge base</a> by creating pre-defined views of your documents.</p>
+<script>!function(){var t=function(){try{return new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}}()||function(){try{return window.localStorage.getItem("theme")}catch(t){}}();document.documentElement.setAttribute("data-theme",t||"light"),document.documentElement.setAttribute("data-theme-choice",t||"light")}(),function(){try{const c=new URLSearchParams(window.location.search).entries();for(var[t,e]of c)if(t.startsWith("docusaurus-data-")){var a=t.replace("docusaurus-data-","data-");document.documentElement.setAttribute(a,e)}}catch(t){}}()</script><div id="__docusaurus"><link rel="preload" as="image" href="/img/logo-openrag-light.svg"><link rel="preload" as="image" href="/img/logo-openrag-dark.svg"><div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><nav aria-label="Main" class="theme-layout-navbar navbar navbar--fixed-top"><div class="navbar__inner"><div 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class="menu__list-item-collapsible"><a class="categoryLink_byQd menu__link menu__link--sublist menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" href="/knowledge"><span title="Knowledge" class="categoryLinkLabel_W154">Knowledge</span></a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/knowledge"><span title="Configure knowledge" class="linkLabel_WmDU">Configure knowledge</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/ingestion"><span title="Ingest knowledge" class="linkLabel_WmDU">Ingest knowledge</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/knowledge-filters"><span title="Filter knowledge" 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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"><span class="breadcrumbs__link">Knowledge</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Filter knowledge</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>Filter knowledge</h1></header><p>OpenRAG&#x27;s knowledge filters help you organize and manage your <a class="" href="/knowledge">knowledge base</a> by creating pre-defined views of your documents.</p>
 <p>Each knowledge filter captures a specific subset of documents based on given a search query and filters.</p>
 <p>Knowledge filters can be used with different OpenRAG functionality.
 For example, knowledge filters can help agents access large knowledge bases efficiently by narrowing the scope of documents that you want the agent to use.</p>
@@ -31,51 +31,75 @@ This limits the agent&#x27;s context to the default OpenRAG documentation rather
 <p>To create a knowledge filter, do the following:</p>
 <ol>
 <li class="">
-<p>Click <strong>Knowledge</strong>, and then 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Knowledge Filters</strong>.</p>
+<p>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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong>, and then 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-plus" aria-hidden="true"><path d="M5 12h14"></path><path d="M12 5v14"></path></svg> <strong>Knowledge Filters</strong>.</p>
 </li>
 <li class="">
-<p>Enter a <strong>Name</strong> and <strong>Description</strong>, and then click <strong>Create Filter</strong>.</p>
-<p>By default, new filters match all documents in your knowledge base.
-Modify the filter to customize it.</p>
+<p>Enter a <strong>Name</strong>.</p>
 </li>
 <li class="">
-<p>To modify the filter, 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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong>, and then click your new filter. You can edit the following settings:</p>
+<p>Optional: Click the filter icon next to the filter name to select a different icon and color for the filter.
+This is purely cosmetic, but it can help you visually distinguish different sets of filters, such as different projects or sources.</p>
+</li>
+<li class="">
+<p>Optional: Enter a <strong>Description</strong>.</p>
+</li>
+<li class="">
+<p>Customize the filter settings.</p>
+<p>By default, filters match all documents in your knowledge base.
+Use the filter settings to narrow the scope of documents that the filter captures:</p>
 <ul>
-<li class=""><strong>Search Query</strong>: Enter text for semantic search, such as <code>financial reports from Q4</code>.</li>
-<li class=""><strong>Data Sources</strong>: Select specific data sources or folders to include.</li>
-<li class=""><strong>Document Types</strong>: Filter by file type.</li>
-<li class=""><strong>Owners</strong>: Filter by the user that uploaded the documents.</li>
-<li class=""><strong>Connectors</strong>: Filter by <a class="" href="/ingestion">upload source</a>, such as the local file system or a Google Drive OAuth connector.</li>
-<li class=""><strong>Response Limit</strong>: Set the maximum number of results to return from the knowledge base. The default is <code>10</code>.</li>
-<li class=""><strong>Score Threshold</strong>: Set the minimum relevance score for similarity search. The default score is <code>0</code>.</li>
+<li class="">
+<p><strong>Search Query</strong>: Enter a natural language text string for semantic search.</p>
+<p>When you apply a filter that has a <strong>Search Query</strong>, only documents matching the search query are included.
+It is recommended that you also use the <strong>Score Threshold</strong> setting to avoid returning irrelevant documents.</p>
+</li>
+<li class="">
+<p><strong>Data Sources</strong>: Select specific files and folders to include in the filter.</p>
+<p>This is useful if you want to create a filter for a specific project or topic and you know the specific documents you want to include.
+Similarly, if you upload a folder of documents or enable an OAuth connector, you might want to create a filter that only includes the documents from that source.</p>
+</li>
+<li class="">
+<p><strong>Document Types</strong>: Filter by file type.</p>
+</li>
+<li class="">
+<p><strong>Owners</strong>: Filter by the user that uploaded the documents.</p>
+<p>In no-auth mode, all documents are attributed to <strong>Anonymous User</strong> because there is no distinct document ownership or unique JWTs. For more control over document ownership and visibility, use OAuth mode. For more information, see <a class="" href="/knowledge#auth">OpenSearch authentication and document access</a>.</p>
+</li>
+<li class="">
+<p><strong>Connectors</strong>: Filter by <a class="" href="/ingestion">upload source</a>, such as the local file system or an OAuth connector.</p>
+</li>
+<li class="">
+<p><strong>Response Limit</strong>: Set the maximum number of results to return from the knowledge base. The default is <code>10</code>, which means the filter returns only the top 10 most relevant documents.</p>
+</li>
+<li class="">
+<p><strong>Score Threshold</strong>: Set the minimum relevance score for similarity search. The default score is <code>0</code>. A threshold is recommended to avoid returned irrelevant documents.</p>
+</li>
 </ul>
 </li>
 <li class="">
-<p>To save your changes, click <strong>Update Filter</strong>.</p>
+<p>Click <strong>Create Filter</strong>.</p>
 </li>
 </ol>
+<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="edit-a-filter">Edit a filter<a href="#edit-a-filter" class="hash-link" aria-label="Direct link to Edit a filter" title="Direct link to Edit a filter" translate="no">​</a></h2>
+<p>To modify a filter, 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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong>, and then click the filter you want to edit in the <strong>Knowledge Filters</strong> list.
+On the filter settings pane, edit the filter as desired, and then click <strong>Update Filter</strong>.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="apply-a-filter">Apply a filter<a href="#apply-a-filter" class="hash-link" aria-label="Direct link to Apply a filter" title="Direct link to Apply a filter" translate="no">​</a></h2>
-<ul>
-<li class="">
-<p><strong>Apply a global filter</strong>: 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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong>, and then enable the toggle next to your preferred filter. Only one filter can be the global filter. The global filter applies to all chat sessions.</p>
-</li>
-<li class="">
-<p><strong>Apply a chat filter</strong>: In the <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong> window, 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-funnel" aria-hidden="true"><path d="M10 20a1 1 0 0 0 .553.895l2 1A1 1 0 0 0 14 21v-7a2 2 0 0 1 .517-1.341L21.74 4.67A1 1 0 0 0 21 3H3a1 1 0 0 0-.742 1.67l7.225 7.989A2 2 0 0 1 10 14z"></path></svg> <strong>Filter</strong>, and then select the filter to apply.
+<p>In the OpenRAG <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-message-square" aria-hidden="true"><path d="M22 17a2 2 0 0 1-2 2H6.828a2 2 0 0 0-1.414.586l-2.202 2.202A.71.71 0 0 1 2 21.286V5a2 2 0 0 1 2-2h16a2 2 0 0 1 2 2z"></path></svg> <strong>Chat</strong>, 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-funnel" aria-hidden="true"><path d="M10 20a1 1 0 0 0 .553.895l2 1A1 1 0 0 0 14 21v-7a2 2 0 0 1 .517-1.341L21.74 4.67A1 1 0 0 0 21 3H3a1 1 0 0 0-.742 1.67l7.225 7.989A2 2 0 0 1 10 14z"></path></svg> <strong>Filter</strong>, and then select the filter to apply.
 Chat filters apply to one chat session only.</p>
-</li>
-</ul>
+<p>You can also use filters when <a class="" href="/knowledge#browse-knowledge">browsing your knowledge base</a>.
+This is a helpful way to test filters and manage knowledge bases that have many documents.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="delete-a-filter">Delete a filter<a href="#delete-a-filter" class="hash-link" aria-label="Direct link to Delete a filter" title="Direct link to Delete a filter" translate="no">​</a></h2>
 <ol>
 <li class="">
 <p>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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong>.</p>
 </li>
 <li class="">
-<p>Click the filter that you want to delete.</p>
+<p>In the <strong>Knowledge Filters</strong> list, click the filter that you want to delete.</p>
 </li>
 <li class="">
-<p>Click <strong>Delete Filter</strong>.</p>
+<p>In the filter settings pane, click <strong>Delete Filter</strong>.</p>
 </li>
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diff --git a/knowledge/index.html b/knowledge/index.html
index 61ab42e1..e2851b2b 100644
--- a/knowledge/index.html
+++ b/knowledge/index.html
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+<script src="/assets/js/runtime~main.a09b72d8.js" defer="defer"></script>
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class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Configure knowledge</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>Configure knowledge</h1></header><p>OpenRAG includes a built-in <a href="https://docs.opensearch.org/latest/" target="_blank" rel="noopener noreferrer" class="">OpenSearch</a> instance that serves as the underlying datastore for your <em>knowledge</em> (documents).
+<script>!function(){var t=function(){try{return new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}}()||function(){try{return window.localStorage.getItem("theme")}catch(t){}}();document.documentElement.setAttribute("data-theme",t||"light"),document.documentElement.setAttribute("data-theme-choice",t||"light")}(),function(){try{const c=new URLSearchParams(window.location.search).entries();for(var[t,e]of c)if(t.startsWith("docusaurus-data-")){var a=t.replace("docusaurus-data-","data-");document.documentElement.setAttribute(a,e)}}catch(t){}}()</script><div id="__docusaurus"><link rel="preload" as="image" href="/img/logo-openrag-light.svg"><link rel="preload" as="image" href="/img/logo-openrag-dark.svg"><div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><nav aria-label="Main" class="theme-layout-navbar navbar navbar--fixed-top"><div class="navbar__inner"><div 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4.029 9 9 9zm4.95-13.95c1.313 1.313 2.05 3.093 2.05 4.95s-0.738 3.637-2.05 4.95c-1.313 1.313-3.093 2.05-4.95 2.05v-14c1.857 0 3.637 0.737 4.95 2.05z"></path></svg></button></div><div class="navbarSearchContainer_Bca1"><button type="button" class="DocSearch DocSearch-Button" aria-label="Search (Meta+k)" aria-keyshortcuts="Meta+k"><span class="DocSearch-Button-Container"><svg width="20" height="20" class="DocSearch-Search-Icon" viewBox="0 0 24 24" aria-hidden="true"><circle cx="11" cy="11" r="8" stroke="currentColor" fill="none" stroke-width="1.4"></circle><path d="m21 21-4.3-4.3" stroke="currentColor" fill="none" stroke-linecap="round" stroke-linejoin="round"></path></svg><span class="DocSearch-Button-Placeholder">Search</span></span><span class="DocSearch-Button-Keys"></span></button></div></div></div><div role="presentation" class="navbar-sidebar__backdrop"></div></nav><div id="__docusaurus_skipToContent_fallback" class="theme-layout-main main-wrapper mainWrapper_z2l0"><div class="docsWrapper_hBAB"><button aria-label="Scroll back to top" class="clean-btn theme-back-to-top-button backToTopButton_sjWU" type="button"></button><div class="docRoot_UBD9"><aside class="theme-doc-sidebar-container docSidebarContainer_YfHR"><div class="sidebarViewport_aRkj"><div class="sidebar_njMd"><nav aria-label="Docs sidebar" class="menu thin-scrollbar menu_SIkG"><ul class="theme-doc-sidebar-menu menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/"><span title="About OpenRAG" class="linkLabel_WmDU">About OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/quickstart"><span title="Quickstart" class="linkLabel_WmDU">Quickstart</span></a></li><li class="theme-doc-sidebar-item-category theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div 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class="menu__list-item-collapsible"><a class="categoryLink_byQd menu__link menu__link--sublist menu__link--sublist-caret menu__link--active" role="button" aria-expanded="true" href="/knowledge"><span title="Knowledge" class="categoryLinkLabel_W154">Knowledge</span></a></div><ul class="menu__list"><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/knowledge"><span title="Configure knowledge" class="linkLabel_WmDU">Configure knowledge</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/ingestion"><span title="Ingest knowledge" class="linkLabel_WmDU">Ingest knowledge</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/knowledge-filters"><span title="Filter knowledge" 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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"><span class="breadcrumbs__link">Knowledge</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Configure knowledge</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>Configure knowledge</h1></header><p>OpenRAG includes a built-in <a href="https://docs.opensearch.org/latest/" target="_blank" rel="noopener noreferrer" class="">OpenSearch</a> instance that serves as the underlying datastore for your <em>knowledge</em> (documents).
 This specialized database is used to store and retrieve your documents and the associated vector data (embeddings).</p>
 <p>The documents in your OpenSearch knowledge base provide specialized context in addition to the general knowledge available to the language model that you select when you <a class="" href="/install-options">install OpenRAG</a> or <a class="" href="/agents">edit a flow</a>.</p>
 <p>You can <a class="" href="/ingestion">upload documents</a> from a variety of sources to populate your knowledge base with unique content, such as your own company documents, research papers, or websites.
@@ -26,14 +26,57 @@ Documents are processed through OpenRAG&#x27;s knowledge ingestion flows with Do
 <p>You can configure how documents are ingested and how the <strong>Chat</strong> interacts with your knowledge base.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="browse-knowledge">Browse knowledge<a href="#browse-knowledge" class="hash-link" aria-label="Direct link to Browse knowledge" title="Direct link to Browse knowledge" translate="no">​</a></h2>
 <p>The <strong>Knowledge</strong> page lists the documents OpenRAG has ingested into your OpenSearch database, specifically in an <a href="https://docs.opensearch.org/latest/getting-started/intro/#index" target="_blank" rel="noopener noreferrer" class="">OpenSearch index</a> named <code>documents</code>.</p>
-<p>To explore the raw contents of your knowledge base, 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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong> to get a list of all ingested documents.
-Click a document to view the chunks produced from splitting the document during ingestion.</p>
+<p>To explore the raw contents of your knowledge base, 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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong> to get a list of all ingested documents.</p>
+<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="inspect-knowledge">Inspect knowledge<a href="#inspect-knowledge" class="hash-link" aria-label="Direct link to Inspect knowledge" title="Direct link to Inspect knowledge" translate="no">​</a></h3>
+<p>For each document, the <strong>Knowledge</strong> page provides the following information:</p>
+<ul>
+<li class="">
+<p><strong>Source</strong>: Name of the ingested content, such as the file name.</p>
+</li>
+<li class="">
+<p><strong>Size</strong></p>
+</li>
+<li class="">
+<p><strong>Type</strong></p>
+</li>
+<li class="">
+<p><strong>Owner</strong>: User that uploaded the document.</p>
+<p>In no-auth mode, all documents are attributed to <strong>Anonymous User</strong> because there is no distinct document ownership or unique JWTs. For more control over document ownership and visibility, use OAuth mode. For more information, see <a class="" href="/knowledge#auth">OpenSearch authentication and document access</a>.</p>
+</li>
+<li class="">
+<p><strong>Chunks</strong>: Number of chunks created by splitting the document during ingestion.</p>
+<p>Click a document to view the individual chunks and technical details related to chunking.
+If the chunks seem incorrect or incomplete, see <a class="" href="/ingestion#troubleshoot-ingestion">Troubleshoot ingestion</a>.</p>
+</li>
+<li class="">
+<p><strong>Avg score</strong>: Average similarity score across all chunks of the document.</p>
+<p>If you <a href="#search-knowledge" class="">search the knowledge base</a>, the <strong>Avg score</strong> column shows the similarity score for your search query or filter.</p>
+</li>
+<li class="">
+<p><strong>Embedding model</strong> and <strong>Dimensions</strong>: The embedding model and dimensions used to embed the chunks.</p>
+</li>
+<li class="">
+<p><strong>Status</strong>: Status of document ingestion.
+If ingestion is complete and successful, then the status is <strong>Active</strong>.
+For more information, see <a class="" href="/ingestion#monitor-ingestion">Monitor ingestion</a>.</p>
+</li>
+</ul>
+<h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="search-knowledge">Search knowledge<a href="#search-knowledge" class="hash-link" aria-label="Direct link to Search knowledge" title="Direct link to Search knowledge" translate="no">​</a></h3>
+<p>You can use the search field on the <strong>Knowledge</strong> page to find documents using semantic search and knowledge filters:</p>
+<p>To search all documents, enter a search string in the search field, and then press <kbd>Enter</kbd>.</p>
+<p>To apply a <a class="" href="/knowledge-filters">knowledge filter</a>, select the filter from the <strong>Knowledge Filters</strong> list.
+The filter settings pane opens, and the filter appears in the search field.
+To remove the filter, close the filter settings pane or clear the filter from the search field.</p>
+<p>You can use the filter alone or in combination with a search string.
+If a knowledge filter has a <strong>Search Query</strong>, that query is applied in addition to any text string you enter in the search field.</p>
+<p>Only one filter can be applied at a time.</p>
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="default-documents">Default documents<a href="#default-documents" class="hash-link" aria-label="Direct link to Default documents" title="Direct link to Default documents" translate="no">​</a></h3>
 <p>By default, OpenRAG includes some initial documents about OpenRAG.
 These documents are ingested automatically during the <a class="" href="/install#application-onboarding">application onboarding process</a>.</p>
-<p>You can use these documents to ask OpenRAG about itself, and to test the <a class="" href="/chat"><strong>Chat</strong></a> feature before uploading your own documents.</p>
-<p>If you <a href="#delete-knowledge" class="">delete</a> these documents, you won&#x27;t be able to ask OpenRAG about itself and it&#x27;s own functionality.
-It is recommended that you keep these documents, and use <a class="" href="/knowledge-filters">filters</a> to separate them from your other knowledge.</p>
+<p>You can use these documents to ask OpenRAG about itself, or to test the <a class="" href="/chat"><strong>Chat</strong></a> feature before uploading your own documents.</p>
+<p>If you <a href="#delete-knowledge" class="">delete these documents</a>, then you won&#x27;t be able to ask OpenRAG about itself and it&#x27;s own functionality.
+It is recommended that you keep these documents, and use <a class="" href="/knowledge-filters">filters</a> to separate them from your other knowledge.
+An <strong>OpenRAG Docs</strong> filter is created automatically for these documents.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="auth">OpenSearch authentication and document access<a href="#auth" class="hash-link" aria-label="Direct link to OpenSearch authentication and document access" title="Direct link to OpenSearch authentication and document access" translate="no">​</a></h2>
 <p>When you <a class="" href="/install-options">install OpenRAG</a>, you provide the initial configuration values for your OpenRAG services, including authentication credentials for OpenSearch and OAuth connectors.
 This configuration determines how OpenRAG authenticates with your deployment&#x27;s OpenSearch instance, and it controls user access to documents in your knowledge base:</p>
@@ -54,7 +97,7 @@ Documents are filtered by user owner; users see only the documents that they upl
 <p>An <a href="https://docs.opensearch.org/latest/getting-started/intro/#index" target="_blank" rel="noopener noreferrer" class="">OpenSearch index</a> is a collection of documents in an OpenSearch database.</p>
 <p>By default, all documents you upload to your OpenRAG knowledge base are stored in an index named <code>documents</code>.</p>
 <p>It is possible to change the index name by <a class="" href="/agents#inspect-and-modify-flows">editing the ingestion flow</a>.
-However, this can impact dependent processes, such as the <a class="" href="/knowledge-filters">filters</a> and <a class="" href="/chat"><strong>Chat</strong></a> flow, that reference the <code>documents</code> index by default.
+However, this can impact dependent processes, such as the <a class="" href="/knowledge-filters">filters</a> and <a class="" href="/chat"><strong>Chat</strong></a>, that reference the <code>documents</code> index by default.
 Make sure you edit other flows as needed to ensure all processes use the same index name.</p>
 <p>If you encounter errors or unexpected behavior after changing the index name, you can <a class="" href="/agents#revert-a-built-in-flow-to-its-original-configuration">revert the flows to their original configuration</a>, or <a class="" href="/knowledge#delete-knowledge">delete knowledge</a> to clear the existing documents from your knowledge base.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="knowledge-ingestion-settings">Knowledge ingestion settings<a href="#knowledge-ingestion-settings" class="hash-link" aria-label="Direct link to Knowledge ingestion settings" title="Direct link to Knowledge ingestion settings" translate="no">​</a></h2>
@@ -72,34 +115,40 @@ OpenRAG automatically detects and configures the appropriate vector dimensions f
 The default embedding dimension is <code>1536</code>, and the default model is the OpenAI <code>text-embedding-3-small</code>.</p>
 <p>If you want to use an unsupported model, you must manually set the model in your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.
 If you use an unsupported embedding model that doesn&#x27;t have defined dimensions in <code>settings.py</code>, then OpenRAG falls back to the default dimensions (1536) and logs a warning. OpenRAG&#x27;s OpenSearch instance and flows continue to work, but <a href="https://www.ibm.com/think/topics/vector-search" target="_blank" rel="noopener noreferrer" class="">similarity search</a> quality can be affected if the actual model dimensions aren&#x27;t 1536.</p>
-<p>To change the embedding model after onboarding, it is recommended that you modify the embedding model setting in the OpenRAG <strong>Settings</strong> page or in your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.
-This will automatically update all relevant <a class="" href="/agents">OpenRAG flows</a> to use the new embedding model configuration.</p>
+<p>To change the embedding model after onboarding, modify the embedding model configuration on the OpenRAG <strong>Settings</strong> page or in your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.
+This ensures that all relevant <a class="" href="/agents">OpenRAG flows</a> are updated to use the new embedding model configuration.</p>
+<p>If you edit these settings in the <code>.env</code> file, you must <a class="" href="/manage-services#stop-and-start-containers">stop and restart the OpenRAG containers</a> to apply the changes.</p>
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="set-docling-parameters">Set Docling parameters<a href="#set-docling-parameters" class="hash-link" aria-label="Direct link to Set Docling parameters" title="Direct link to Set Docling parameters" translate="no">​</a></h3>
 <p>OpenRAG uses <a href="https://docling-project.github.io/docling/" target="_blank" rel="noopener noreferrer" class="">Docling</a> for document ingestion because it supports many file formats, processes tables and images well, and performs efficiently.</p>
 <p>When you <a class="" href="/ingestion">upload documents</a>, Docling processes the files, splits them into chunks, and stores them as separate, structured documents in your OpenSearch knowledge base.</p>
+<h4 class="anchor anchorTargetStickyNavbar_Vzrq" id="select-a-docling-implementation">Select a Docling implementation<a href="#select-a-docling-implementation" class="hash-link" aria-label="Direct link to Select a Docling implementation" title="Direct link to Select a Docling implementation" translate="no">​</a></h4>
 <p>You can use either Docling Serve or OpenRAG&#x27;s built-in Docling ingestion pipeline to process documents.</p>
 <ul>
 <li class="">
 <p><strong>Docling Serve ingestion</strong>: By default, OpenRAG uses <a href="https://github.com/docling-project/docling-serve" target="_blank" rel="noopener noreferrer" class="">Docling Serve</a>.
-This means that OpenRAG starts a <code>docling serve</code> process on your local machine and runs Docling ingestion through an API service.</p>
+It starts a local <code>docling serve</code> process, and then runs Docling ingestion through the Docling Serve API.</p>
+<p>To use a remote <code>docling serve</code> instance or your own local instance, set <code>DOCLING_SERVE_URL=http://**HOST_IP**:5001</code> in your <a class="" href="/reference/configuration#document-processing-settings">OpenRAG <code>.env</code> file</a>.
+The service must run on port 5001.</p>
 </li>
 <li class="">
-<p><strong>Built-in Docling ingestion</strong>: If you want to use OpenRAG&#x27;s built-in Docling ingestion pipeline instead of the separate Docling Serve service, set <code>DISABLE_INGEST_WITH_LANGFLOW=true</code> in your <a class="" href="/reference/configuration#document-processing-settings">OpenRAG environment variables</a>.</p>
-<p>The built-in pipeline uses the Docling processor directly instead of through the Docling Serve API.</p>
-<p>For the underlying functionality, see <a href="https://github.com/langflow-ai/openrag/blob/main/src/models/processors.py#L58" target="_blank" rel="noopener noreferrer" class=""><code>processors.py</code></a> in the OpenRAG repository.</p>
+<p><strong>Built-in Docling ingestion</strong>: If you want to use OpenRAG&#x27;s built-in Docling ingestion pipeline instead of the separate Docling Serve service, set <code>DISABLE_INGEST_WITH_LANGFLOW=true</code> in your <a class="" href="/reference/configuration#document-processing-settings">OpenRAG <code>.env</code> file</a>.
+The built-in pipeline uses the Docling processor directly instead of through the Docling Serve API.
+For the underlying functionality, see <a href="https://github.com/langflow-ai/openrag/blob/main/src/models/processors.py#L58" target="_blank" rel="noopener noreferrer" class=""><code>processors.py</code></a> in the OpenRAG repository.</p>
 </li>
 </ul>
-<p>To modify the Docling ingestion and embedding parameters, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong> in the OpenRAG user interface.</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>OpenRAG warns you if <code>docling serve</code> isn&#x27;t running.
+<h4 class="anchor anchorTargetStickyNavbar_Vzrq" id="configure-docling-ingestion-settings">Configure Docling ingestion settings<a href="#configure-docling-ingestion-settings" class="hash-link" aria-label="Direct link to Configure Docling ingestion settings" title="Direct link to Configure Docling ingestion settings" translate="no">​</a></h4>
+<p>To modify the Docling document processing and embedding parameters, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong> in OpenRAG, and then find the <strong>Knowledge Ingest</strong> section.</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>The TUI warns you if <code>docling serve</code> isn&#x27;t running.
 For information about starting and stopping OpenRAG native services, like Docling, see <a class="" href="/manage-services">Manage OpenRAG services</a>.</p></div></div>
+<p>You can edit the following parameters:</p>
 <ul>
 <li class="">
 <p><strong>Embedding model</strong>: Select the model to use to generate vector embeddings for your documents.</p>
 <p>This is initially set during installation.
-The recommended way to change this setting is in the OpenRAG <strong>Settings</strong> or your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.
-This will automatically update all relevant <a class="" href="/agents">OpenRAG flows</a> to use the new embedding model configuration.</p>
+The recommended way to change this setting is in the OpenRAG <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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong> or your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.
+This ensures that all relevant <a class="" href="/agents">OpenRAG flows</a> are updated to use the new embedding model configuration.</p>
 <p>If you uploaded documents prior to changing the embedding model, you can <a class="" href="/knowledge-filters">create filters</a> to separate documents embedded with different models, or you can reupload all documents to regenerate embeddings with the new model.
-If you want to use multiple embeddings models, similarity search (in the <strong>Chat</strong>) can take longer as it searching each model&#x27;s embeddings separately.</p>
+If you want to use multiple embeddings models, similarity search (in the <strong>Chat</strong>) can take longer as it searches each model&#x27;s embeddings separately.</p>
 </li>
 <li class="">
 <p><strong>Chunk size</strong>: Set the number of characters for each text chunk when breaking down a file.
@@ -112,7 +161,7 @@ Use larger overlap values for documents where context is most important. Use sma
 The default value is 200 characters, which represents an overlap of 20 percent if the <strong>Chunk size</strong> is 1000. This is suitable for general use. For faster processing, decrease the overlap to approximately 10 percent. For more complex documents where you need to preserve context across chunks, increase it to approximately 40 percent.</p>
 </li>
 <li class="">
-<p><strong>Table Structure</strong>: Enables Docling&#x27;s <a href="https://docling-project.github.io/docling/reference/document_converter/" target="_blank" rel="noopener noreferrer" class=""><code>DocumentConverter</code></a> tool for parsing tables. Instead of treating tables as plain text, tables are output as structured table data with preserved relationships and metadata. This option is enabled by default.</p>
+<p><strong>Table structure</strong>: Enables Docling&#x27;s <a href="https://docling-project.github.io/docling/reference/document_converter/" target="_blank" rel="noopener noreferrer" class=""><code>DocumentConverter</code></a> tool for parsing tables. Instead of treating tables as plain text, tables are output as structured table data with preserved relationships and metadata. This option is enabled by default.</p>
 </li>
 <li class="">
 <p><strong>OCR</strong>: Enables Optical Character Recognition (OCR) processing when extracting text from images and ingesting scanned documents. This setting is best suited for processing text-based documents faster with Docling&#x27;s <a href="https://docling-project.github.io/docling/reference/document_converter/" target="_blank" rel="noopener noreferrer" class=""><code>DocumentConverter</code></a>. Images are ignored and not processed.</p>
@@ -128,14 +177,17 @@ The default value is 200 characters, which represents an overlap of 20 percent i
 <p>To change this location, modify the <strong>Documents Paths</strong> variable in either the <a class="" href="/install#setup"><strong>Basic/Advanced Setup</strong> menu</a> or in your <a class="" href="/reference/configuration">OpenRAG <code>.env</code> file</a>.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="delete-knowledge">Delete knowledge<a href="#delete-knowledge" class="hash-link" aria-label="Direct link to Delete knowledge" title="Direct link to Delete knowledge" translate="no">​</a></h2>
 <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>This is a destructive operation that cannot be undone.</p></div></div>
-<p>To clear your entire knowledge base, <a class="" href="/manage-services#reset-containers">reset your OpenRAG containers</a> or <a class="" href="/reinstall">reinstall OpenRAG</a>.</p>
+<p>To delete documents from your knowledge base, 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-library" aria-hidden="true"><path d="m16 6 4 14"></path><path d="M12 6v14"></path><path d="M8 8v12"></path><path d="M4 4v16"></path></svg> <strong>Knowledge</strong>, use the checkboxes to select one or more documents, and then click <strong>Delete</strong>.
+If you select the checkbox at the top of the list, all documents are selected and your entire knowledge base will be deleted.</p>
+<p>To delete an individual document, you can also 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-ellipsis" aria-hidden="true"><circle cx="12" cy="12" r="1"></circle><circle cx="19" cy="12" r="1"></circle><circle cx="5" cy="12" r="1"></circle></svg> <strong>More</strong> next to that document, and then select <strong>Delete</strong>.</p>
+<p>To completely clear your entire knowledge base and OpenSearch index, <a class="" href="/manage-services#reset-containers">reset your OpenRAG containers</a> or <a class="" href="/reinstall">reinstall OpenRAG</a>.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="see-also">See also<a href="#see-also" class="hash-link" aria-label="Direct link to See also" title="Direct link to See also" translate="no">​</a></h2>
 <ul>
 <li class=""><a class="" href="/ingestion">Ingest knowledge</a></li>
 <li class=""><a class="" href="/knowledge-filters">Filter knowledge</a></li>
 <li class=""><a class="" href="/chat">Chat with knowledge</a></li>
 <li class=""><a class="" href="/agents#inspect-and-modify-flows">Inspect and modify flows</a></li>
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class="docMainContainer_TBSr"><div 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">Manage services</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>Manage OpenRAG containers and services</h1></header><p>Service management is an essential part of maintaining your OpenRAG deployment.</p>
 <p>Most OpenRAG services run in containers.
 However, some services, like Docling, run directly on the local machine.</p>
 <p>If you <a class="" href="/install-options">installed OpenRAG</a> with the automated installer script, <code>uv</code>, or <code>uvx</code>, you can use the <a class="" href="/tui">Terminal User Interface (TUI)</a> to manage your OpenRAG configuration and services.</p>
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markdown"><header><h1>Quickstart</h1></header><p>Use this quickstart to install OpenRAG, and then try some of OpenRAG&#x27;s core features.</p>
 <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>
 <ul>
 <li class="">Install <a href="https://www.python.org/downloads/release/python-3100/" target="_blank" rel="noopener noreferrer" class="">Python</a> version 3.13 or later.</li>
@@ -156,7 +156,7 @@ You can use these flows as-is or modify them to better suit your needs, as demon
 <p>You can send and receive requests with the Langflow API using Python, TypeScript, or curl.</p>
 <ol>
 <li class="">
-<p>Open the <strong>OpenRAG OpenSearch Agent</strong> flow in the Langflow visual editor: From the <strong>Chat</strong> window, 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>, click <strong>Edit in Langflow</strong>, and then click <strong>Proceed</strong>.</p>
+<p>Open the <strong>OpenRAG OpenSearch Agent</strong> flow in the Langflow visual editor: 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-settings2 lucide-settings-2" aria-hidden="true"><path d="M14 17H5"></path><path d="M19 7h-9"></path><circle cx="17" cy="17" r="3"></circle><circle cx="7" cy="7" r="3"></circle></svg> <strong>Settings</strong>, click <strong>Edit in Langflow</strong>, and then click <strong>Proceed</strong>.</p>
 </li>
 <li class="">
 <p>Optional: If you don&#x27;t want to use the Langflow API key that is generated automatically when you install OpenRAG, you can create a <a href="https://docs.langflow.org/api-keys-and-authentication" target="_blank" rel="noopener noreferrer" class="">Langflow API key</a>.
diff --git a/reference/api-sdk-overview/index.html b/reference/api-sdk-overview/index.html
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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">APIs and SDKs</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>OpenRAG APIs and SDKs</h1></header><p>You can use OpenRAG&#x27;s APIs and SDKs to integrate and extend OpenRAG&#x27;s capabilities:</p>
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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">APIs and SDKs</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>OpenRAG APIs and SDKs</h1></header><p>You can use OpenRAG&#x27;s APIs and SDKs to integrate and extend OpenRAG&#x27;s capabilities:</p>
 <ul>
 <li class=""><a href="https://github.com/langflow-ai/openrag/tree/main/sdks/python" target="_blank" rel="noopener noreferrer" class="">Python SDK</a></li>
 <li class=""><a href="https://github.com/langflow-ai/openrag/tree/main/sdks/typescript" target="_blank" rel="noopener noreferrer" class="">TypeScript/JavaScript SDK</a></li>
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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">Environment variables</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>Environment variables</h1></header><p>OpenRAG&#x27;s <code>.env</code> file is the primary configuration file for OpenRAG.
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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">Environment variables</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>Environment variables</h1></header><p>OpenRAG&#x27;s <code>.env</code> file is the primary configuration file for OpenRAG.
 Environment variables in <code>.env</code> always take precedence over other sources.</p>
 <p>For deployments managed with the Terminal User Interface (TUI), this file is located at <code>~/.openrag/tui</code>, and it can be created automatically during <a class="" href="/install-options">installation</a>.</p>
 <p>For <a class="" href="/docker">self-managed deployments</a>, this file can be located at the root of your OpenRAG project directory or referenced from another location.</p>
@@ -50,11 +50,12 @@ Some of these variables are immutable and can only be changed by redeploying Ope
 <table><thead><tr><th>Variable</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td><code>EMBEDDING_MODEL</code></td><td><code>text-embedding-3-small</code></td><td>Embedding model for generating vector embeddings for documents in the knowledge base and similarity search queries. Can be changed after the application onboarding process. Accepts one or more models.</td></tr><tr><td><code>LLM_MODEL</code></td><td><code>gpt-4o-mini</code></td><td>Language model for language processing and text generation in the <strong>Chat</strong> feature.</td></tr><tr><td><code>MODEL_PROVIDER</code></td><td><code>openai</code></td><td>Model provider, as one of <code>openai</code>, <code>watsonx</code>, <code>ollama</code>, or <code>anthropic</code>.</td></tr><tr><td><code>ANTHROPIC_API_KEY</code></td><td>Not set</td><td>API key for the Anthropic language model provider.</td></tr><tr><td><code>OPENAI_API_KEY</code></td><td>Not set</td><td>API key for the OpenAI model provider, which is also the default model provider.</td></tr><tr><td><code>OLLAMA_ENDPOINT</code></td><td>Not set</td><td>Custom provider endpoint for the Ollama model provider.</td></tr><tr><td><code>WATSONX_API_KEY</code></td><td>Not set</td><td>API key for the IBM watsonx.ai model provider.</td></tr><tr><td><code>WATSONX_ENDPOINT</code></td><td>Not set</td><td>Custom provider endpoint for the IBM watsonx.ai model provider.</td></tr><tr><td><code>WATSONX_PROJECT_ID</code></td><td>Not set</td><td>Project ID for the IBM watsonx.ai model provider.</td></tr></tbody></table>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="document-processing-settings">Document processing settings<a href="#document-processing-settings" class="hash-link" aria-label="Direct link to Document processing settings" title="Direct link to Document processing settings" translate="no">​</a></h2>
 <p>Control how OpenRAG <a class="" href="/ingestion">processes and ingests documents</a> into your knowledge base.</p>
-<table><thead><tr><th>Variable</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td><code>CHUNK_OVERLAP</code></td><td><code>200</code></td><td>Overlap between chunks.</td></tr><tr><td><code>CHUNK_SIZE</code></td><td><code>1000</code></td><td>Text chunk size for document processing.</td></tr><tr><td><code>DISABLE_INGEST_WITH_LANGFLOW</code></td><td><code>false</code></td><td>Disable Langflow ingestion pipeline.</td></tr><tr><td><code>DOCLING_OCR_ENGINE</code></td><td>Set by OS</td><td>OCR engine for document processing. For macOS, <code>ocrmac</code>. For any other OS, <code>easyocr</code>.</td></tr><tr><td><code>OCR_ENABLED</code></td><td><code>false</code></td><td>Enable OCR for image processing.</td></tr><tr><td><code>OPENRAG_DOCUMENTS_PATH</code></td><td><code>~/.openrag/documents</code></td><td>The <a class="" href="/knowledge#set-the-local-documents-path">local documents path</a> for ingestion.</td></tr><tr><td><code>PICTURE_DESCRIPTIONS_ENABLED</code></td><td><code>false</code></td><td>Enable picture descriptions.</td></tr></tbody></table>
+<p>Most of these settings can be configured on the OpenRAG <strong>Settings</strong> page or in the <code>.env</code> file.</p>
+<table><thead><tr><th>Variable</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td><code>CHUNK_OVERLAP</code></td><td><code>200</code></td><td>Overlap between chunks.</td></tr><tr><td><code>CHUNK_SIZE</code></td><td><code>1000</code></td><td>Text chunk size for document processing.</td></tr><tr><td><code>DISABLE_INGEST_WITH_LANGFLOW</code></td><td><code>false</code></td><td>Disable Langflow ingestion pipeline.</td></tr><tr><td><code>DOCLING_OCR_ENGINE</code></td><td>Set by OS</td><td>OCR engine for document processing. For macOS, <code>ocrmac</code>. For any other OS, <code>easyocr</code>.</td></tr><tr><td><code>DOCLING_SERVE_URL</code></td><td><code>http://**HOST_IP**:5001</code></td><td>URL for the <a class="" href="/knowledge#select-a-docling-implementation">Docling Serve instance</a>. By default, OpenRAG starts a local <code>docling serve</code> process and auto-detects the host. To use your own local or remote Docling Serve instance, set this variable to the full path to the target instance. The service must run on port 5001.</td></tr><tr><td><code>OCR_ENABLED</code></td><td><code>false</code></td><td>Enable OCR for image processing.</td></tr><tr><td><code>OPENRAG_DOCUMENTS_PATH</code></td><td><code>~/.openrag/documents</code></td><td>The <a class="" href="/knowledge#set-the-local-documents-path">local documents path</a> for ingestion.</td></tr><tr><td><code>PICTURE_DESCRIPTIONS_ENABLED</code></td><td><code>false</code></td><td>Enable picture descriptions.</td></tr></tbody></table>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="langflow-settings">Langflow settings<a href="#langflow-settings" class="hash-link" aria-label="Direct link to Langflow settings" title="Direct link to Langflow settings" translate="no">​</a></h2>
 <p>Configure the OpenRAG Langflow server&#x27;s authentication, contact point, and built-in flow definitions.</p>
 <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>The <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set in your <code>.env</code> file, and this value determines the default values for several other Langflow authentication variables.</p><p>If the <code>LANGFLOW_SUPERUSER_PASSWORD</code> variable isn&#x27;t set, then the Langflow server starts <em>without</em> authentication enabled.</p><p>For better security, it is recommended to set <code>LANGFLOW_SUPERUSER_PASSWORD</code> so the <a href="https://docs.langflow.org/api-keys-and-authentication#start-a-langflow-server-with-authentication-enabled" target="_blank" rel="noopener noreferrer" class="">Langflow server starts with authentication enabled</a>.</p></div></div>
-<table><thead><tr><th>Variable</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td><code>LANGFLOW_AUTO_LOGIN</code></td><td>Determined by <code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Whether to enable <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login" target="_blank" rel="noopener noreferrer" class="">auto-login mode</a> for the Langflow visual editor and CLI. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> isn&#x27;t set, then <code>LANGFLOW_AUTO_LOGIN</code> is <code>True</code> and auto-login mode is enabled. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set, then <code>LANGFLOW_AUTO_LOGIN</code> is <code>False</code> and auto-login mode is disabled. Langflow API calls always require authentication with a Langflow API key regardless of the auto-login setting.</td></tr><tr><td><code>LANGFLOW_ENABLE_SUPERUSER_CLI</code></td><td>Determined by <code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Whether to enable the <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-enable-superuser-cli" target="_blank" rel="noopener noreferrer" class="">Langflow CLI <code>langflow superuser</code> command</a>. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> isn&#x27;t set, then <code>LANGFLOW_ENABLE_SUPERUSER_CLI</code> is <code>True</code> and superuser accounts can be created with the Langflow CLI. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set, then <code>LANGFLOW_ENABLE_SUPERUSER_CLI</code> is <code>False</code> and the <code>langflow superuser</code> command is disabled.</td></tr><tr><td><code>LANGFLOW_NEW_USER_IS_ACTIVE</code></td><td>Determined by <code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Whether new <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-new-user-is-active" target="_blank" rel="noopener noreferrer" class="">Langflow user accounts are active by default</a>. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> isn&#x27;t set, then <code>LANGFLOW_NEW_USER_IS_ACTIVE</code> is <code>True</code> and new user accounts are active by default. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set, then <code>LANGFLOW_NEW_USER_IS_ACTIVE</code> is <code>False</code> and new user accounts are inactive by default.</td></tr><tr><td><code>LANGFLOW_PUBLIC_URL</code></td><td><code>http://localhost:7860</code></td><td>Public URL for the Langflow instance. Forms the base URL for Langflow API calls and other interfaces with your OpenRAG Langflow instance.</td></tr><tr><td><code>LANGFLOW_KEY</code></td><td>Automatically generated</td><td>A Langflow API key to run flows with Langflow API calls. Because Langflow API keys are server-specific, allow OpenRAG to generate this key initially. You can create additional Langflow API keys after deploying OpenRAG.</td></tr><tr><td><code>LANGFLOW_SECRET_KEY</code></td><td>Automatically generated</td><td>Secret encryption key for Langflow internal operations. It is recommended to <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key" target="_blank" rel="noopener noreferrer" class="">generate your own Langflow secret key</a> for this variable. If this variable isn&#x27;t set, then Langflow generates a secret key automatically.</td></tr><tr><td><code>LANGFLOW_SUPERUSER</code></td><td><code>admin</code></td><td>Username for the Langflow administrator user.</td></tr><tr><td><code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Not set</td><td>Langflow administrator password. If this variable isn&#x27;t set, then the Langflow server starts <em>without</em> authentication enabled. It is recommended to set <code>LANGFLOW_SUPERUSER_PASSWORD</code> so the <a href="https://docs.langflow.org/api-keys-and-authentication#start-a-langflow-server-with-authentication-enabled" target="_blank" rel="noopener noreferrer" class="">Langflow server starts with authentication enabled</a>.</td></tr><tr><td><code>LANGFLOW_URL</code></td><td><code>http://localhost:7860</code></td><td>URL for the Langflow instance.</td></tr><tr><td><code>LANGFLOW_CHAT_FLOW_ID</code>, <code>LANGFLOW_INGEST_FLOW_ID</code>, <code>NUDGES_FLOW_ID</code></td><td>Built-in flow IDs</td><td>These variables are set automatically to the IDs of the chat, ingestion, and nudges <a class="" href="/agents">flows</a>. The default values are found in <a href="https://github.com/langflow-ai/openrag/blob/main/.env.example" target="_blank" rel="noopener noreferrer" class=""><code>.env.example</code></a>. Only change these values if you want to replace a built-in flow with your own custom flow. The flow JSON must be present in your version of the OpenRAG codebase. For example, if you <a class="" href="/docker">deploy self-managed services</a>, you can add the flow JSON to your local clone of the OpenRAG repository before deploying OpenRAG.</td></tr><tr><td><code>SYSTEM_PROMPT</code></td><td><code>You are a helpful AI assistant with access to a knowledge base. Answer questions based on the provided context.</code></td><td>System prompt instructions for the agent driving the <strong>Chat</strong> flow.</td></tr></tbody></table>
+<table><thead><tr><th>Variable</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td><code>LANGFLOW_AUTO_LOGIN</code></td><td>Determined by <code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Whether to enable <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-auto-login" target="_blank" rel="noopener noreferrer" class="">auto-login mode</a> for the Langflow visual editor and CLI. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> isn&#x27;t set, then <code>LANGFLOW_AUTO_LOGIN</code> is <code>True</code> and auto-login mode is enabled. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set, then <code>LANGFLOW_AUTO_LOGIN</code> is <code>False</code> and auto-login mode is disabled. Langflow API calls always require authentication with a Langflow API key regardless of the auto-login setting.</td></tr><tr><td><code>LANGFLOW_ENABLE_SUPERUSER_CLI</code></td><td>Determined by <code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Whether to enable the <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-enable-superuser-cli" target="_blank" rel="noopener noreferrer" class="">Langflow CLI <code>langflow superuser</code> command</a>. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> isn&#x27;t set, then <code>LANGFLOW_ENABLE_SUPERUSER_CLI</code> is <code>True</code> and superuser accounts can be created with the Langflow CLI. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set, then <code>LANGFLOW_ENABLE_SUPERUSER_CLI</code> is <code>False</code> and the <code>langflow superuser</code> command is disabled.</td></tr><tr><td><code>LANGFLOW_NEW_USER_IS_ACTIVE</code></td><td>Determined by <code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Whether new <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-new-user-is-active" target="_blank" rel="noopener noreferrer" class="">Langflow user accounts are active by default</a>. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> isn&#x27;t set, then <code>LANGFLOW_NEW_USER_IS_ACTIVE</code> is <code>True</code> and new user accounts are active by default. If <code>LANGFLOW_SUPERUSER_PASSWORD</code> is set, then <code>LANGFLOW_NEW_USER_IS_ACTIVE</code> is <code>False</code> and new user accounts are inactive by default.</td></tr><tr><td><code>LANGFLOW_PUBLIC_URL</code></td><td><code>http://localhost:7860</code></td><td>Public URL for the Langflow instance. Forms the base URL for Langflow API calls and other interfaces with your OpenRAG Langflow instance.</td></tr><tr><td><code>LANGFLOW_KEY</code></td><td>Automatically generated</td><td>A Langflow API key to run flows with Langflow API calls. Because Langflow API keys are server-specific, allow OpenRAG to generate this key initially. You can create additional Langflow API keys after deploying OpenRAG.</td></tr><tr><td><code>LANGFLOW_SECRET_KEY</code></td><td>Automatically generated</td><td>Secret encryption key for Langflow internal operations. It is recommended to <a href="https://docs.langflow.org/api-keys-and-authentication#langflow-secret-key" target="_blank" rel="noopener noreferrer" class="">generate your own Langflow secret key</a> for this variable. If this variable isn&#x27;t set, then Langflow generates a secret key automatically.</td></tr><tr><td><code>LANGFLOW_SUPERUSER</code></td><td><code>admin</code></td><td>Username for the Langflow administrator user.</td></tr><tr><td><code>LANGFLOW_SUPERUSER_PASSWORD</code></td><td>Not set</td><td>Langflow administrator password. If this variable isn&#x27;t set, then the Langflow server starts <em>without</em> authentication enabled. It is recommended to set <code>LANGFLOW_SUPERUSER_PASSWORD</code> so the <a href="https://docs.langflow.org/api-keys-and-authentication#start-a-langflow-server-with-authentication-enabled" target="_blank" rel="noopener noreferrer" class="">Langflow server starts with authentication enabled</a>.</td></tr><tr><td><code>LANGFLOW_URL</code></td><td><code>http://localhost:7860</code></td><td>URL for the Langflow instance.</td></tr><tr><td><code>LANGFLOW_CHAT_FLOW_ID</code>, <code>LANGFLOW_INGEST_FLOW_ID</code>, <code>NUDGES_FLOW_ID</code></td><td>Built-in flow IDs</td><td>These variables are set automatically to the IDs of the chat, ingestion, and nudges <a class="" href="/agents">flows</a>. The default values are found in <a href="https://github.com/langflow-ai/openrag/blob/main/.env.example" target="_blank" rel="noopener noreferrer" class=""><code>.env.example</code></a>. Only change these values if you want to replace a built-in flow with your own custom flow. The flow JSON must be present in your version of the OpenRAG codebase. For example, if you <a class="" href="/docker">deploy self-managed services</a>, you can add the flow JSON to your local clone of the OpenRAG repository before deploying OpenRAG.</td></tr><tr><td><code>SYSTEM_PROMPT</code></td><td><code>You are a helpful AI assistant with access to a knowledge base. Answer questions based on the provided context.</code></td><td>System prompt instructions for the agent driving the <strong>Agent</strong> flow (OpenRAG <strong>Chat</strong>).</td></tr></tbody></table>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="oauth-provider-settings">OAuth provider settings<a href="#oauth-provider-settings" class="hash-link" aria-label="Direct link to OAuth provider settings" title="Direct link to OAuth provider settings" translate="no">​</a></h2>
 <p>Configure <a class="" href="/ingestion#oauth-ingestion">OAuth providers</a> and external service integrations.</p>
 <table><thead><tr><th>Variable</th><th>Default</th><th>Description</th></tr></thead><tbody><tr><td><code>AWS_ACCESS_KEY_ID</code><br><code>AWS_SECRET_ACCESS_KEY</code></td><td>Not set</td><td>Enable access to AWS S3 with an <a href="https://docs.aws.amazon.com/singlesignon/latest/userguide/manage-your-applications.html" target="_blank" rel="noopener noreferrer" class="">AWS OAuth app</a> integration.</td></tr><tr><td><code>GOOGLE_OAUTH_CLIENT_ID</code><br><code>GOOGLE_OAUTH_CLIENT_SECRET</code></td><td>Not set</td><td>Enable the <a href="https://developers.google.com/identity/protocols/oauth2" target="_blank" rel="noopener noreferrer" class="">Google OAuth client</a> integration. You can generate these values in the <a href="https://console.cloud.google.com/apis/credentials" target="_blank" rel="noopener noreferrer" class="">Google Cloud Console</a>.</td></tr><tr><td><code>MICROSOFT_GRAPH_OAUTH_CLIENT_ID</code><br><code>MICROSOFT_GRAPH_OAUTH_CLIENT_SECRET</code></td><td>Not set</td><td>Enable the <a href="https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/graph-oauth" target="_blank" rel="noopener noreferrer" class="">Microsoft Graph OAuth client</a> integration by providing <a href="https://learn.microsoft.com/en-us/onedrive/developer/rest-api/getting-started/app-registration?view=odsp-graph-online" target="_blank" rel="noopener noreferrer" class="">Azure application registration credentials for SharePoint and OneDrive</a>.</td></tr><tr><td><code>WEBHOOK_BASE_URL</code></td><td>Not set</td><td>Base URL for OAuth connector webhook endpoints. If this variable isn&#x27;t set, a default base URL is used.</td></tr></tbody></table>
diff --git a/reinstall/index.html b/reinstall/index.html
index 6af33a58..d78d78a0 100644
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width="13.5" height="13.5" aria-label="(opens in new tab)" class="iconExternalLink_nPIU"><use href="#theme-svg-external-link"></use></svg></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Reinstall OpenRAG</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>Reinstall OpenRAG</h1></header><p>You can reset your OpenRAG deployment to its initial state by recreating the containers and deleting accessory data, such as the <code>.env</code> file and ingested documents.</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>These are destructive operations that reset your OpenRAG deployment to an initial state.
 Destroyed containers and deleted data are lost and cannot be recovered after running these operations.</p></div></div>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="reinstall-tui-managed-containers">Reinstall TUI-managed containers<a href="#reinstall-tui-managed-containers" class="hash-link" aria-label="Direct link to Reinstall TUI-managed containers" title="Direct link to Reinstall TUI-managed containers" translate="no">​</a></h2>
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OpenRAG</h1></header><p>This page provides troubleshooting advice for issues you might encounter when using OpenRAG or contributing to OpenRAG.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="installation-and-start-up-issues">Installation and start up issues<a href="#installation-and-start-up-issues" class="hash-link" aria-label="Direct link to Installation and start up issues" title="Direct link to Installation and start up issues" translate="no">​</a></h2>
 <p>The following issues relate to OpenRAG installation and start up.</p>
 <h3 class="anchor anchorTargetStickyNavbar_Vzrq" id="opensearch-fails-to-start">OpenSearch fails to start<a href="#opensearch-fails-to-start" class="hash-link" aria-label="Direct link to OpenSearch fails to start" title="Direct link to OpenSearch fails to start" translate="no">​</a></h3>
diff --git a/tui/index.html b/tui/index.html
index 0c1cd020..3705a759 100644
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.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">Use the TUI</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>Use the TUI</h1></header><p>The OpenRAG Terminal User Interface (TUI) provides a simplified and guided experience for configuring, managing, and monitoring your OpenRAG deployment directly from the terminal.</p>
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theme-doc-sidebar-item-category-level-1 menu__list-item menu__list-item--collapsed"><div class="menu__list-item-collapsible"><a class="categoryLink_byQd menu__link menu__link--sublist menu__link--sublist-caret" role="button" aria-expanded="false" href="/knowledge"><span title="Knowledge" class="categoryLinkLabel_W154">Knowledge</span></a></div></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/chat"><span title="Chat" class="linkLabel_WmDU">Chat</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/configuration"><span title="Environment variables" class="linkLabel_WmDU">Environment variables</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a href="https://github.com/langflow-ai/openrag/releases" target="_blank" rel="noopener noreferrer" class="menu__link menuExternalLink_NmtK"><span title="Changelog" class="linkLabel_WmDU">Changelog</span><svg width="13.5" height="13.5" aria-label="(opens in new tab)" class="iconExternalLink_nPIU"><use href="#theme-svg-external-link"></use></svg></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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">Use the TUI</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>Use the TUI</h1></header><p>The OpenRAG Terminal User Interface (TUI) provides a simplified and guided experience for configuring, managing, and monitoring your OpenRAG deployment directly from the terminal.</p>
 <p><img decoding="async" loading="lazy" alt="OpenRAG TUI Interface" src="/assets/images/openrag_tui_dec_2025-c7022e66cc6675f25aced7b8acd8274d.png" width="653" height="397" class="img_ev3q"></p>
 <p>If you install OpenRAG with the <a class="" href="/install">automatic installer script</a>, <a class="" href="/install-uv"><code>uv</code></a>, or <a class="" href="/install-uvx"><code>uvx</code></a>, you use the TUI to manage your OpenRAG deployment.
 The TUI guides you through the initial setup, automatically manages your OpenRAG <code>.env</code> and <code>docker-compose</code> files, and provides convenient access to <a class="" href="/manage-services">service management</a> controls.</p>
@@ -38,7 +38,7 @@ For more information, see <a class="" href="/manage-services">Manage OpenRAG ser
 <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>
+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 Docling Serve 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.
diff --git a/uninstall/index.html b/uninstall/index.html
index 48d99154..1802ddfc 100644
--- a/uninstall/index.html
+++ b/uninstall/index.html
@@ -10,14 +10,14 @@
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+<script src="/assets/js/runtime~main.a09b72d8.js" defer="defer"></script>
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uv</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-uvx"><span title="Invoke OpenRAG with uvx" class="linkLabel_WmDU">Invoke OpenRAG with uvx</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-windows"><span title="Install OpenRAG on Windows" class="linkLabel_WmDU">Install OpenRAG on Windows</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docker"><span title="Deploy self-managed services" class="linkLabel_WmDU">Deploy self-managed services</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/upgrade"><span title="Upgrade OpenRAG" class="linkLabel_WmDU">Upgrade 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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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Remove OpenRAG</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>Remove OpenRAG</h1></header><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>If you want to reset your OpenRAG containers without removing OpenRAG entirely, see <a class="" href="/manage-services">Reset OpenRAG containers</a> and <a class="" href="/reinstall">Reinstall OpenRAG</a>.</p></div></div>
+<script>!function(){var t=function(){try{return new URLSearchParams(window.location.search).get("docusaurus-theme")}catch(t){}}()||function(){try{return window.localStorage.getItem("theme")}catch(t){}}();document.documentElement.setAttribute("data-theme",t||"light"),document.documentElement.setAttribute("data-theme-choice",t||"light")}(),function(){try{const c=new URLSearchParams(window.location.search).entries();for(var[t,e]of c)if(t.startsWith("docusaurus-data-")){var a=t.replace("docusaurus-data-","data-");document.documentElement.setAttribute(a,e)}}catch(t){}}()</script><div id="__docusaurus"><link rel="preload" as="image" href="/img/logo-openrag-light.svg"><link rel="preload" as="image" href="/img/logo-openrag-dark.svg"><div role="region" aria-label="Skip to main content"><a class="skipToContent_fXgn" href="#__docusaurus_skipToContent_fallback">Skip to main content</a></div><nav aria-label="Main" class="theme-layout-navbar navbar navbar--fixed-top"><div class="navbar__inner"><div 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uv</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-uvx"><span title="Invoke OpenRAG with uvx" class="linkLabel_WmDU">Invoke OpenRAG with uvx</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-windows"><span title="Install OpenRAG on Windows" class="linkLabel_WmDU">Install OpenRAG on Windows</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docker"><span title="Deploy self-managed services" class="linkLabel_WmDU">Deploy self-managed services</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/upgrade"><span title="Upgrade OpenRAG" class="linkLabel_WmDU">Upgrade OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/reinstall"><span title="Reinstall OpenRAG" class="linkLabel_WmDU">Reinstall OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/uninstall"><span title="Remove OpenRAG" class="linkLabel_WmDU">Remove OpenRAG</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link 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width="13.5" height="13.5" aria-label="(opens in new tab)" class="iconExternalLink_nPIU"><use href="#theme-svg-external-link"></use></svg></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Remove OpenRAG</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>Remove OpenRAG</h1></header><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>If you want to reset your OpenRAG containers without removing OpenRAG entirely, see <a class="" href="/manage-services">Reset OpenRAG containers</a> and <a class="" href="/reinstall">Reinstall OpenRAG</a>.</p></div></div>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="uninstall-tui-managed-deployments">Uninstall TUI-managed deployments<a href="#uninstall-tui-managed-deployments" class="hash-link" aria-label="Direct link to Uninstall TUI-managed deployments" title="Direct link to Uninstall TUI-managed deployments" translate="no">​</a></h2>
 <p>If you used the <a class="" href="/install">automated installer script</a> or <a class="" href="/install-uvx"><code>uvx</code></a> to install OpenRAG, clear your <code>uv</code> cache (<code>uv cache clean</code>) to remove the TUI environment, and then delete the <code>~/.openrag</code> directory.</p>
 <p>If you used <a class="" href="/install-uv"><code>uv</code></a> to install OpenRAG, run <code>uv remove openrag</code> in your Python project, and then delete the <code>~/.openrag</code> directory.</p>
diff --git a/upgrade/index.html b/upgrade/index.html
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uv</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-uvx"><span title="Invoke OpenRAG with uvx" class="linkLabel_WmDU">Invoke OpenRAG with uvx</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-windows"><span title="Install OpenRAG on Windows" class="linkLabel_WmDU">Install OpenRAG on Windows</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docker"><span title="Deploy self-managed services" class="linkLabel_WmDU">Deploy self-managed services</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/upgrade"><span title="Upgrade OpenRAG" 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uv</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-uvx"><span title="Invoke OpenRAG with uvx" class="linkLabel_WmDU">Invoke OpenRAG with uvx</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/install-windows"><span title="Install OpenRAG on Windows" class="linkLabel_WmDU">Install OpenRAG on Windows</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/docker"><span title="Deploy self-managed services" class="linkLabel_WmDU">Deploy self-managed services</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link menu__link--active" aria-current="page" tabindex="0" href="/upgrade"><span title="Upgrade OpenRAG" class="linkLabel_WmDU">Upgrade OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/reinstall"><span title="Reinstall OpenRAG" class="linkLabel_WmDU">Reinstall OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-2 menu__list-item"><a class="menu__link" tabindex="0" href="/uninstall"><span title="Remove OpenRAG" class="linkLabel_WmDU">Remove OpenRAG</span></a></li></ul></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/tui"><span title="Use the TUI" class="linkLabel_WmDU">Use the TUI</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/manage-services"><span title="Manage services" class="linkLabel_WmDU">Manage services</span></a></li><li class="theme-doc-sidebar-item-link 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class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/reference/api-sdk-overview"><span title="APIs and SDKs" class="linkLabel_WmDU">APIs and SDKs</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/contribute"><span title="Contribute to OpenRAG" class="linkLabel_WmDU">Contribute to OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/support/troubleshoot"><span title="Troubleshoot OpenRAG" class="linkLabel_WmDU">Troubleshoot OpenRAG</span></a></li><li class="theme-doc-sidebar-item-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a href="https://github.com/langflow-ai/openrag/releases" target="_blank" rel="noopener noreferrer" class="menu__link menuExternalLink_NmtK"><span title="Changelog" class="linkLabel_WmDU">Changelog</span><svg width="13.5" height="13.5" aria-label="(opens in new tab)" class="iconExternalLink_nPIU"><use href="#theme-svg-external-link"></use></svg></a></li></ul></nav></div></div></aside><main class="docMainContainer_TBSr"><div 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"><span class="breadcrumbs__link">Installation</span></li><li class="breadcrumbs__item breadcrumbs__item--active"><span class="breadcrumbs__link">Upgrade OpenRAG</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>Upgrade OpenRAG</h1></header><p>Use these steps to upgrade your OpenRAG deployment to the latest version or a specific version.</p>
 <h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="export-customized-flows-before-upgrading">Export customized flows before upgrading<a href="#export-customized-flows-before-upgrading" class="hash-link" aria-label="Direct link to Export customized flows before upgrading" title="Direct link to Export customized flows before upgrading" translate="no">​</a></h2>
 <p>If you modified the built-in flows or created custom flows in your OpenRAG Langflow instance, <a href="https://docs.langflow.org/concepts-flows-import" target="_blank" rel="noopener noreferrer" class="">export your flows</a> before upgrading.
 This ensure that you won&#x27;t lose your flows after upgrading, and you can reference the exported flows if there are any breaking changes in the new version.</p>