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<!-- -->
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<p>The <strong>NVIDIA Retriever Extraction</strong> component integrates with the <a href="https://github.com/NVIDIA/nv-ingest" target="_blank" rel="noopener noreferrer">NVIDIA nv-ingest</a> microservice for data ingestion, processing, and extraction of text files.</p>
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<p>The <code>nv-ingest</code> service supports multiple extraction methods for PDF, DOCX, and PPTX file types, and includes pre- and post-processing services like splitting, chunking, and embedding generation. The extractor service's High Resolution mode uses the <code>nemoretriever-parse</code> extraction method for better quality extraction from scanned PDF documents. This feature is only available for PDF files.</p>
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<p>The <strong>NVIDIA Retriever Extraction</strong> component imports the NVIDIA <code>Ingestor</code> client, ingests files with requests to the NVIDIA ingest endpoint, and outputs the processed content as a list of <a href="/data-types#data"><code>Data</code></a> objects. <code>Ingestor</code> accepts additional configuration options for data extraction from other text formats. To configure these options, see the <a href="#parameters">component parameters</a>.</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>NVIDIA Retriever Extraction is also known as NV-Ingest and NeMo Retriever Extraction.</p></div></div>
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<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="prerequisites">Prerequisites<a href="#prerequisites" class="hash-link" aria-label="Direct link to Prerequisites" title="Direct link to Prerequisites"></a></h2>
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<ul>
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<li>
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<p>An NVIDIA Ingest endpoint. For more information on setting up an NVIDIA Ingest endpoint, see the <a href="https://github.com/NVIDIA/nv-ingest?tab=readme-ov-file#quickstart" target="_blank" rel="noopener noreferrer">NVIDIA Ingest quickstart</a>.</p>
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</li>
|
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<li>
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<p>The <strong>NVIDIA Retriever Extraction</strong> component requires the installation of additional dependencies to your Langflow environment. To install the dependencies in a virtual environment, run the following commands.</p>
|
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<ul>
|
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<li>If you have the Langflow repository cloned and installed from source:</li>
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||
</ul>
|
||
<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>source **YOUR_LANGFLOW_VENV**/bin/activate</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>uv sync --extra nv-ingest</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>uv run langflow run</span></div></div><br></code></div></div>
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<ul>
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<li>If you are installing Langflow from the Python Package Index:</li>
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</ul>
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||
<div class="ch-codeblock not-prose" data-ch-theme="github-dark"><div class="ch-code-wrapper ch-code" data-ch-measured="false"><code class="ch-code-scroll-parent"><br><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>source **YOUR_LANGFLOW_VENV**/bin/activate</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>uv pip install --prerelease=allow 'langflow[nv-ingest]'</span></div></div><div><span class="ch-code-line-number">_<!-- -->10</span><div style="display:inline-block;margin-left:16px"><span>uv run langflow run</span></div></div><br></code></div></div>
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||
</li>
|
||
</ul>
|
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<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="use-the-nvidia-retriever-extraction-component-in-a-flow">Use the NVIDIA Retriever Extraction component in a flow<a href="#use-the-nvidia-retriever-extraction-component-in-a-flow" class="hash-link" aria-label="Direct link to Use the NVIDIA Retriever Extraction component in a flow" title="Direct link to Use the NVIDIA Retriever Extraction component in a flow"></a></h2>
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<p>The <strong>NVIDIA Retriever Extraction</strong> component accepts <code>Message</code> inputs, and then outputs <code>Data</code>. The component calls an NVIDIA Ingest microservice's endpoint to ingest a local file and extract the text.</p>
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||
<p>To use the <strong>NVIDIA Retriever Extraction</strong> component in your flow, follow these steps:</p>
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||
<ol>
|
||
<li>
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||
<p>Add the <strong>NVIDIA Retriever Extraction</strong> component to your flow.</p>
|
||
</li>
|
||
<li>
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||
<p>In the <strong>Base URL</strong> field, enter the URL of the NVIDIA Ingest endpoint.
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You can also store the URL as a <a href="/configuration-global-variables">global variable</a> to reuse it in multiple components and flows.</p>
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||
</li>
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||
<li>
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<p>Click <strong>Select Files</strong> to select a file to ingest.</p>
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||
</li>
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<li>
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<p>Select which text type to extract from the file: text, charts, tables, images, or infographics.</p>
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||
</li>
|
||
<li>
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||
<p>Optional: For PDF files, enable <strong>High Resolution Mode</strong> for better quality extraction from scanned documents.</p>
|
||
</li>
|
||
<li>
|
||
<p>Select whether to split the text into chunks.</p>
|
||
<p>Some parameters are hidden by default in the visual editor.
|
||
You can modify all parameters through 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-sliders-horizontal" aria-hidden="true"><line x1="21" x2="14" y1="4" y2="4"></line><line x1="10" x2="3" y1="4" y2="4"></line><line x1="21" x2="12" y1="12" y2="12"></line><line x1="8" x2="3" y1="12" y2="12"></line><line x1="21" x2="16" y1="20" y2="20"></line><line x1="12" x2="3" y1="20" y2="20"></line><line x1="14" x2="14" y1="2" y2="6"></line><line x1="8" x2="8" y1="10" y2="14"></line><line x1="16" x2="16" y1="18" y2="22"></line></svg> <strong>Controls</strong> in the <a href="/concepts-components#component-menus">component's header menu</a>.</p>
|
||
</li>
|
||
<li>
|
||
<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-play" aria-hidden="true"><polygon points="6 3 20 12 6 21 6 3"></polygon></svg> <strong>Run component</strong> to ingest the file, and then click <strong>Logs</strong> or <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-text-search" aria-hidden="true"><path d="M21 6H3"></path><path d="M10 12H3"></path><path d="M10 18H3"></path><circle cx="17" cy="15" r="3"></circle><path d="m21 19-1.9-1.9"></path></svg> <strong>Inspect output</strong> to confirm the component ingested the file.</p>
|
||
</li>
|
||
<li>
|
||
<p>To store the processed data in a vector database, add a <strong>Vector Store</strong> component to your flow, and then connect the <strong>NVIDIA Retriever Extraction</strong> component's <code>Data</code> output to the <strong>Vector Store</strong> component's input.</p>
|
||
<p>When you run the flow with a <strong>Vector Store</strong> component, the processed data is stored in the vector database.
|
||
You can query your database to retrieve the uploaded data.</p>
|
||
<p><img decoding="async" loading="lazy" alt="NVIDIA Retriever Extraction component flow" src="/assets/images/nvidia-component-ingest-astra-c6f0107751252206ab0d500a25ba3f9c.png" width="1722" height="1548" class="img_ev3q"></p>
|
||
</li>
|
||
</ol>
|
||
<h2 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="parameters">NVIDIA Retriever Extraction component parameters<a href="#parameters" class="hash-link" aria-label="Direct link to NVIDIA Retriever Extraction component parameters" title="Direct link to NVIDIA Retriever Extraction component parameters"></a></h2>
|
||
<p>The <strong>NVIDIA Retriever Extraction</strong> component has the following parameters.</p>
|
||
<p>For more information, see the <a href="https://nvidia.github.io/nv-ingest/user-guide/" target="_blank" rel="noopener noreferrer">NV-Ingest documentation</a>.</p>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="inputs">Inputs<a href="#inputs" class="hash-link" aria-label="Direct link to Inputs" title="Direct link to Inputs"></a></h3>
|
||
<table><thead><tr><th>Name</th><th>Display Name</th><th>Info</th></tr></thead><tbody><tr><td>base_url</td><td>NVIDIA Ingestion URL</td><td>The URL of the NVIDIA Ingestion API.</td></tr><tr><td>path</td><td>Path</td><td>File path to process.</td></tr><tr><td>extract_text</td><td>Extract Text</td><td>Extract text from documents. Default: true.</td></tr><tr><td>extract_charts</td><td>Extract Charts</td><td>Extract text from charts. Default: false.</td></tr><tr><td>extract_tables</td><td>Extract Tables</td><td>Extract text from tables. Default: true.</td></tr><tr><td>extract_images</td><td>Extract Images</td><td>Extract images from document. Default: true.</td></tr><tr><td>extract_infographics</td><td>Extract Infographics</td><td>Extract infographics from document. Default: false.</td></tr><tr><td>text_depth</td><td>Text Depth</td><td>The level at which text is extracted. Options: 'document', 'page', 'block', 'line', 'span'. Default: <code>page</code>.</td></tr><tr><td>split_text</td><td>Split Text</td><td>Split text into smaller chunks. Default: true.</td></tr><tr><td>chunk_size</td><td>Chunk Size</td><td>The number of tokens per chunk. Default: <code>500</code>. Make sure the chunk size is compatible with your embedding model. For more information, see <a href="/components-processing#chunk-size">Tokenization errors due to chunk size</a>.</td></tr><tr><td>chunk_overlap</td><td>Chunk Overlap</td><td>Number of tokens to overlap from previous chunk. Default: <code>150</code>.</td></tr><tr><td>filter_images</td><td>Filter Images</td><td>Filter images (see advanced options for filtering criteria). Default: false.</td></tr><tr><td>min_image_size</td><td>Minimum Image Size Filter</td><td>Minimum image width/length in pixels. Default: <code>128</code>.</td></tr><tr><td>min_aspect_ratio</td><td>Minimum Aspect Ratio Filter</td><td>Minimum allowed aspect ratio (width / height). Default: <code>0.2</code>.</td></tr><tr><td>max_aspect_ratio</td><td>Maximum Aspect Ratio Filter</td><td>Maximum allowed aspect ratio (width / height). Default: <code>5.0</code>.</td></tr><tr><td>dedup_images</td><td>Deduplicate Images</td><td>Filter duplicated images. Default: true.</td></tr><tr><td>caption_images</td><td>Caption Images</td><td>Generate captions for images using the NVIDIA captioning model. Default: true.</td></tr><tr><td>high_resolution</td><td>High Resolution (PDF only)</td><td>Process PDF in high-resolution mode for better quality extraction from scanned PDF. Default: false.</td></tr></tbody></table>
|
||
<h3 class="anchor anchorWithHideOnScrollNavbar_WYt5" id="outputs">Outputs<a href="#outputs" class="hash-link" aria-label="Direct link to Outputs" title="Direct link to Outputs"></a></h3>
|
||
<p>The <strong>NVIDIA Retriever Extraction</strong> component outputs a list of <a href="/data-types#data"><code>Data</code></a> objects where each object contains:</p>
|
||
<ul>
|
||
<li><code>text</code>: The extracted content.<!-- -->
|
||
<ul>
|
||
<li>For text documents: The extracted text content.</li>
|
||
<li>For tables and charts: The extracted table/chart content.</li>
|
||
<li>For images: The image caption.</li>
|
||
<li>For infographics: The extracted infographic content.</li>
|
||
</ul>
|
||
</li>
|
||
<li><code>file_path</code>: The source file name and path.</li>
|
||
<li><code>document_type</code>: The type of the document, which can be <code>text</code>, <code>structured</code>, or <code>image</code>.</li>
|
||
<li><code>description</code>: Additional description of the content.</li>
|
||
</ul>
|
||
<p>The output varies based on the <code>document_type</code>:</p>
|
||
<ul>
|
||
<li>
|
||
<p>Documents with <code>document_type: "text"</code> contain:</p>
|
||
<ul>
|
||
<li>Raw text content extracted from documents, for example, paragraphs from PDFs or DOCX files.</li>
|
||
<li>Content stored directly in the <code>text</code> field.</li>
|
||
<li>Content extracted using the <code>extract_text</code> parameter.</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>Documents with <code>document_type: "structured"</code> contain:</p>
|
||
<ul>
|
||
<li>Text extracted from tables, charts, and infographics and processed to preserve structural information.</li>
|
||
<li>Content extracted using the <code>extract_tables</code>, <code>extract_charts</code>, and <code>extract_infographics</code> parameters.</li>
|
||
<li>Content stored in the <code>text</code> field after being processed from the <code>table_content</code> metadata.</li>
|
||
</ul>
|
||
</li>
|
||
<li>
|
||
<p>Documents with <code>document_type: "image"</code> contain:</p>
|
||
<ul>
|
||
<li>Image content extracted from documents.</li>
|
||
<li>Caption text stored in the <code>text</code> field when <code>caption_images</code> is enabled.</li>
|
||
<li>Content extracted using the <code>extract_images</code> parameter.</li>
|
||
</ul>
|
||
</li>
|
||
</ul></div></article><nav class="docusaurus-mt-lg pagination-nav" aria-label="Docs pages"><a class="pagination-nav__link pagination-nav__link--prev" href="/bundles-nvidia"><div class="pagination-nav__sublabel">Previous</div><div class="pagination-nav__label">NVIDIA components</div></a><a class="pagination-nav__link pagination-nav__link--next" href="/integrations-nvidia-ingest-wsl2"><div class="pagination-nav__sublabel">Next</div><div class="pagination-nav__label">NVIDIA NIM on WSL2</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="#prerequisites" class="table-of-contents__link toc-highlight">Prerequisites</a></li><li><a href="#use-the-nvidia-retriever-extraction-component-in-a-flow" class="table-of-contents__link toc-highlight">Use the NVIDIA Retriever Extraction component in a flow</a></li><li><a href="#parameters" class="table-of-contents__link toc-highlight">NVIDIA Retriever Extraction component parameters</a><ul><li><a href="#inputs" class="table-of-contents__link toc-highlight">Inputs</a></li><li><a href="#outputs" class="table-of-contents__link toc-highlight">Outputs</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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