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<title data-rh="true">What is OpenRAG? | OpenRAG</title><meta data-rh="true" name="viewport" content="width=device-width,initial-scale=1"><meta data-rh="true" name="robots" content="noindex, nofollow"><meta data-rh="true" name="twitter:card" content="summary_large_image"><meta data-rh="true" property="og:url" content="https://docs.openr.ag/"><meta data-rh="true" property="og:locale" content="en"><meta data-rh="true" name="docusaurus_locale" content="en"><meta data-rh="true" name="docsearch:language" content="en"><meta data-rh="true" name="docusaurus_version" content="current"><meta data-rh="true" name="docusaurus_tag" content="docs-default-current"><meta data-rh="true" name="docsearch:version" content="current"><meta data-rh="true" name="docsearch:docusaurus_tag" content="docs-default-current"><meta data-rh="true" property="og:title" content="What is OpenRAG? | OpenRAG"><meta data-rh="true" name="description" content="OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers."><meta data-rh="true" property="og:description" content="OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers."><link data-rh="true" rel="icon" href="/img/favicon.ico"><link data-rh="true" rel="canonical" href="https://docs.openr.ag/"><link data-rh="true" rel="alternate" href="https://docs.openr.ag/" hreflang="en"><link data-rh="true" rel="alternate" href="https://docs.openr.ag/" hreflang="x-default"><script data-rh="true">function insertBanner(){var n=document.createElement("div");n.id="__docusaurus-base-url-issue-banner-container";n.innerHTML='\n<div id="__docusaurus-base-url-issue-banner" style="border: thick solid red; background-color: rgb(255, 230, 179); margin: 20px; padding: 20px; font-size: 20px;">\n <p style="font-weight: bold; font-size: 30px;">Your Docusaurus site did not load properly.</p>\n <p>A very common reason is a wrong site <a href="https://docusaurus.io/docs/docusaurus.config.js/#baseUrl" style="font-weight: bold;">baseUrl configuration</a>.</p>\n <p>Current configured baseUrl = <span style="font-weight: bold; color: red;">/</span> (default value)</p>\n <p>We suggest trying baseUrl = <span id="__docusaurus-base-url-issue-banner-suggestion-container" style="font-weight: bold; color: green;"></span></p>\n</div>\n',document.body.prepend(n);var e=document.getElementById("__docusaurus-base-url-issue-banner-suggestion-container"),s=window.location.pathname,o="/"===s.substr(-1)?s:s+"/";e.innerHTML=o}document.addEventListener("DOMContentLoaded",function(){void 0===window.docusaurus&&insertBanner()})</script><script data-rh="true" type="application/ld+json">{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"About OpenRAG","item":"https://docs.openr.ag/"}]}</script><link rel="stylesheet" href="/assets/css/styles.66669ecc.css">
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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-link theme-doc-sidebar-item-link-level-1 menu__list-item"><a class="menu__link" href="/install"><span title="Install OpenRAG with TUI" class="linkLabel_WmDU">Install OpenRAG with 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="/docker"><span title="Install OpenRAG containers" class="linkLabel_WmDU">Install OpenRAG containers</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="/agents"><span title="Langflow in OpenRAG" class="linkLabel_WmDU">Langflow in OpenRAG</span></a></li><li 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class="container padding-top--md padding-bottom--lg"><div class="row"><div class="col"><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">About OpenRAG</span></li></ul></nav><div class="theme-doc-markdown markdown"><header><h1>What is OpenRAG?</h1></header><p>OpenRAG is an open-source package for building agentic RAG systems that integrates with a wide range of orchestration tools, vector databases, and LLM providers.</p>
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<p>OpenRAG connects and amplifies three popular, proven open-source projects into one powerful platform:</p>
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<ul>
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<li class="">
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<p><a href="https://docs.langflow.org" target="_blank" rel="noopener noreferrer" class="">Langflow</a>: Langflow is a versatile tool for building and deploying AI agents and MCP servers. It supports all major LLMs, vector databases, and a growing library of AI tools.</p>
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</li>
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<li class="">
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<p><a href="https://docs.opensearch.org/latest/" target="_blank" rel="noopener noreferrer" class="">OpenSearch</a>: OpenSearch is a community-driven, Apache 2.0-licensed open source search and analytics suite that makes it easy to ingest, search, visualize, and analyze data.</p>
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</li>
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<li class="">
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<p><a href="https://docling-project.github.io/docling/" target="_blank" rel="noopener noreferrer" class="">Docling</a>: Docling simplifies document processing, parsing diverse formats — including advanced PDF understanding — and providing seamless integrations with the gen AI ecosystem.</p>
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</li>
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</ul>
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<p>OpenRAG builds on Langflow's familiar interface while adding OpenSearch for vector storage and Docling for simplified document parsing. It uses opinionated flows that serve as ready-to-use recipes for ingestion, retrieval, and generation from familiar sources like Google Drive, OneDrive, and SharePoint.</p>
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<p>What's more, every part of the stack is interchangeable: You can write your own custom components in Python, try different language models, and customize your flows to build a personalized agentic RAG system.</p>
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<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>Ready to get started? Try the <a class="" href="/quickstart">quickstart</a> to install OpenRAG and start exploring in minutes.</p></div></div>
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<h2 class="anchor anchorTargetStickyNavbar_Vzrq" id="openrag-architecture">OpenRAG architecture<a href="#openrag-architecture" class="hash-link" aria-label="Direct link to OpenRAG architecture" title="Direct link to OpenRAG architecture" translate="no"></a></h2>
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<p>OpenRAG deploys and orchestrates a lightweight, container-based architecture that combines <strong>Langflow</strong>, <strong>OpenSearch</strong>, and <strong>Docling</strong> into a cohesive RAG platform.</p>
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<!-- -->
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<ul>
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<li class="">
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<p>The <strong>OpenRAG Backend</strong> is the central orchestration service that coordinates all other components.</p>
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</li>
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<li class="">
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<p><strong>Langflow</strong> provides a visual workflow engine for building AI agents, and connects to <strong>OpenSearch</strong> for vector storage and retrieval.</p>
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</li>
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<li class="">
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<p><strong>Docling Serve</strong> is a local document processing service managed by the <strong>OpenRAG Backend</strong>.</p>
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</li>
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<li class="">
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<p><strong>External connectors</strong> integrate third-party cloud storage services through OAuth authenticated connections to the <strong>OpenRAG Backend</strong>, allowing synchronization of external storage with your OpenSearch knowledge base.</p>
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</li>
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<li class="">
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<p>The <strong>OpenRAG Frontend</strong> provides the user interface for interacting with the platform.</p>
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</li>
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