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<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="install-docling-dependency">Install Docling dependency<a href="#install-docling-dependency" class="hash-link" aria-label="Direct link to Install Docling dependency" title="Direct link to Install Docling dependency"></a></h2>
<div class="theme-admonition theme-admonition-important 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>important</div><div class="admonitionContent_BuS1"><p>You must install the Docling dependency to use the Docling components in Langflow.</p></div></div>
<div class="tabs-container tabList__CuJ"><ul role="tablist" aria-orientation="horizontal" class="tabs"><li role="tab" tabindex="0" aria-selected="true" class="tabs__item tabItem_LNqP tabs__item--active">Langflow OSS</li><li role="tab" tabindex="-1" aria-selected="false" class="tabs__item tabItem_LNqP">Langflow Desktop</li></ul><div class="margin-top--md"><div role="tabpanel" class="tabItem_Ymn6"><p>Install the Docling extra in Langflow OSS with <code>uv pip install &#x27;langflow[docling]&#x27;</code>.</p></div><div role="tabpanel" class="tabItem_Ymn6" hidden=""><p>To add a dependency to Langflow Desktop, add an entry for Docling to the application&#x27;s <code>requirements.txt</code> file.
For more information, see <a href="/install-custom-dependencies#langflow-desktop">Install custom dependencies in Langflow Desktop</a>.</p></div></div></div>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-docling-components-in-a-flow">Use Docling components in a flow<a href="#use-docling-components-in-a-flow" class="hash-link" aria-label="Direct link to Use Docling components in a flow" title="Direct link to Use Docling components in a flow"></a></h2>
<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 learn more about content extraction with Docling, see the video tutorial <a href="https://www.youtube.com/watch?v=5DuS6uRI5OM" target="_blank" rel="noopener noreferrer">Docling + Langflow: Document Processing for AI Workflows</a>.</p></div></div>
<p>This example demonstrates how to use Docling components to split a PDF in a flow:</p>
<ol>
<li>
<p>Connect a <strong>Docling</strong> and an <strong>Export DoclingDocument</strong> component to a <a href="/components-processing#split-text"><strong>Split Text</strong> component</a>.</p>
<p>The <strong>Docling</strong> component loads the document, and the <strong>Export DoclingDocument</strong> component converts the <code>DoclingDocument</code> into the format you select. This example converts the document to Markdown, with images represented as placeholders.
The <strong>Split Text</strong> component will split the Markdown into chunks for the vector database to store in the next part of the flow.</p>
</li>
<li>
<p>Connect a <a href="/components-vector-stores#chroma-db"><strong>Chroma DB</strong> vector store component</a> to the <strong>Split Text</strong> component&#x27;s <strong>Chunks</strong> output.</p>
</li>
<li>
<p>Connect an <a href="/components-embedding-models"><strong>Embedding Model</strong> component</a> to the <strong>Chroma DB</strong> component&#x27;s <strong>Embedding</strong> port and a <strong>Chat Output</strong> component to view the extracted <a href="/data-types#dataframe"><code>DataFrame</code></a>.</p>
</li>
<li>
<p>Add your OpenAI API key to the <strong>Embedding Model</strong> component.</p>
<p><img decoding="async" loading="lazy" alt="Docling and ExportDoclingDocument extracting and splitting text to vector database" src="/assets/images/integrations-docling-split-text-7dfa4c618be68f4559ce6247630dbdf1.png" width="4000" height="2060" class="img_ev3q"></p>
</li>
<li>
<p>Add a file to the <strong>Docling</strong> component.</p>
</li>
<li>
<p>To run the flow, 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-play" aria-hidden="true"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Playground</strong>.</p>
<p>The chunked document is loaded as vectors into your vector database.</p>
</li>
</ol>
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="docling-components">Docling components<a href="#docling-components" class="hash-link" aria-label="Direct link to Docling components" title="Direct link to Docling components"></a></h2>
<p>The following sections describe the purpose and configuration options for each component in the <strong>Docling</strong> bundle.</p>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="docling-language-model">Docling language model<a href="#docling-language-model" class="hash-link" aria-label="Direct link to Docling language model" title="Direct link to Docling language model"></a></h3>
<p>The <strong>Docling</strong> language model component ingest documents, and then uses Docling to process them by running the Docling models locally.</p>
<p>It outputs <code>files</code>, which is the processed files with <code>DoclingDocument</code> data.</p>
<h4 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="docling-parameters">Docling parameters<a href="#docling-parameters" class="hash-link" aria-label="Direct link to Docling parameters" title="Direct link to Docling parameters"></a></h4>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>files</td><td>File</td><td>The files to process.</td></tr><tr><td>pipeline</td><td>String</td><td>Docling pipeline to use (standard, vlm).</td></tr><tr><td>ocr_engine</td><td>String</td><td>OCR engine to use (easyocr, tesserocr, rapidocr, ocrmac).</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="docling-serve">Docling Serve<a href="#docling-serve" class="hash-link" aria-label="Direct link to Docling Serve" title="Direct link to Docling Serve"></a></h3>
<p>The <strong>Docling Serve</strong> component ingests documents, and then uses Docling to process them by connecting to your instance of Docling Serve.</p>
<p>It outputs <code>files</code>, which is the processed files with <code>DoclingDocument</code> data.</p>
<h4 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="docling-serve-parameters">Docling Serve parameters<a href="#docling-serve-parameters" class="hash-link" aria-label="Direct link to Docling Serve parameters" title="Direct link to Docling Serve parameters"></a></h4>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>files</td><td>File</td><td>The files to process.</td></tr><tr><td>api_url</td><td>String</td><td>URL of the Docling Serve instance.</td></tr><tr><td>max_concurrency</td><td>Integer</td><td>Maximum number of concurrent requests for the server.</td></tr><tr><td>max_poll_timeout</td><td>Float</td><td>Maximum waiting time for the document conversion to complete.</td></tr><tr><td>api_headers</td><td>Dict</td><td>Optional dictionary of additional headers required for connecting to Docling Serve.</td></tr><tr><td>docling_serve_opts</td><td>Dict</td><td>Optional dictionary of additional options for Docling Serve.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="chunk-doclingdocument">Chunk DoclingDocument<a href="#chunk-doclingdocument" class="hash-link" aria-label="Direct link to Chunk DoclingDocument" title="Direct link to Chunk DoclingDocument"></a></h3>
<p>The <strong>Chunk DoclingDocument</strong> component uses the <code>DoclingDocument</code> chunkers to split a document into chunks.</p>
<p>It outputs the chunked documents as a <a href="/data-types#dataframe"><code>DataFrame</code></a>.</p>
<h4 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="chunk-doclingdocument-parameters">Chunk DoclingDocument parameters<a href="#chunk-doclingdocument-parameters" class="hash-link" aria-label="Direct link to Chunk DoclingDocument parameters" title="Direct link to Chunk DoclingDocument parameters"></a></h4>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>data_inputs</td><td>Data/DataFrame</td><td>The data with documents to split in chunks.</td></tr><tr><td>chunker</td><td>String</td><td>Which chunker to use (HybridChunker, HierarchicalChunker).</td></tr><tr><td>provider</td><td>String</td><td>Which tokenizer provider (Hugging Face, OpenAI).</td></tr><tr><td>hf_model_name</td><td>String</td><td>Model name of the tokenizer to use with the HybridChunker when Hugging Face is chosen.</td></tr><tr><td>openai_model_name</td><td>String</td><td>Model name of the tokenizer to use with the HybridChunker when OpenAI is chosen.</td></tr><tr><td>max_tokens</td><td>Integer</td><td>Maximum number of tokens for the HybridChunker.</td></tr><tr><td>doc_key</td><td>String</td><td>The key to use for the <code>DoclingDocument</code> column.</td></tr></tbody></table>
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="export-doclingdocument">Export DoclingDocument<a href="#export-doclingdocument" class="hash-link" aria-label="Direct link to Export DoclingDocument" title="Direct link to Export DoclingDocument"></a></h3>
<p>The <strong>Export DoclingDocument</strong> component exports <code>DoclingDocument</code> to Markdown, HTML, and other formats.</p>
<p>It can output the exported data as either <a href="/data-types#data"><code>Data</code></a> or <a href="/data-types#dataframe"><code>DataFrame</code></a>.</p>
<h4 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="export-doclingdocument-parameters">Export DoclingDocument parameters<a href="#export-doclingdocument-parameters" class="hash-link" aria-label="Direct link to Export DoclingDocument parameters" title="Direct link to Export DoclingDocument parameters"></a></h4>
<table><thead><tr><th>Name</th><th>Type</th><th>Description</th></tr></thead><tbody><tr><td>data_inputs</td><td>Data/DataFrame</td><td>The data with documents to export.</td></tr><tr><td>export_format</td><td>String</td><td>Select the export format to convert the input (Markdown, HTML, Plaintext, DocTags).</td></tr><tr><td>image_mode</td><td>String</td><td>Specify how images are exported in the output (placeholder, embedded).</td></tr><tr><td>md_image_placeholder</td><td>String</td><td>Specify the image placeholder for markdown exports.</td></tr><tr><td>md_page_break_placeholder</td><td>String</td><td>Add this placeholder between pages in the markdown output.</td></tr><tr><td>doc_key</td><td>String</td><td>The key to use for the <code>DoclingDocument</code> column.</td></tr></tbody></table></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/bundles-deepseek"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">DeepSeek</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/bundles-duckduckgo"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">DuckDuckGo</div></a></nav></div></div><div class="col col--3"><div class="tableOfContents_bqdL thin-scrollbar theme-doc-toc-desktop"><ul class="table-of-contents table-of-contents__left-border"><li><a href="#install-docling-dependency" class="table-of-contents__link toc-highlight">Install Docling dependency</a></li><li><a href="#use-docling-components-in-a-flow" class="table-of-contents__link toc-highlight">Use Docling components in a flow</a></li><li><a href="#docling-components" class="table-of-contents__link toc-highlight">Docling components</a><ul><li><a href="#docling-language-model" class="table-of-contents__link toc-highlight">Docling language model</a></li><li><a href="#docling-serve" class="table-of-contents__link toc-highlight">Docling Serve</a></li><li><a href="#chunk-doclingdocument" class="table-of-contents__link toc-highlight">Chunk DoclingDocument</a></li><li><a href="#export-doclingdocument" class="table-of-contents__link toc-highlight">Export DoclingDocument</a></li></ul></li></ul></div></div></div></div></main></div></div></div><footer class="theme-layout-footer footer"><div class="container container-fluid"><div class="row footer__links"><div class="theme-layout-footer-column col footer__col"><div class="footer__title"></div><ul class="footer__items clean-list"><li class="footer__item"><div class="footer-links">
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