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<td>Extract components such as tables and figures</td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<tr>
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<td>Automate your process via the
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<ahref="#toolkit">Toolkit</a>
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</td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<tr>
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<td>Upload and search your own documents</td>
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<td></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<tr>
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<td>Configure the document conversion process</td>
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<td></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<tr>
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<td>Search millions of
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<ahref="#collect">pre-loaded documents</a>
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</td>
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<td></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<tr>
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<td>Use <ahref="#doc-qa">question-answering</a> on your own documents</td>
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<td></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<td>Integrate with gen AI systems like <ahref="https://www.ibm.com/products/watsonx-ai"target="_blank">IBM watsonx.ai</a></td>
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<td></td>
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<td><imgsrc="/icons/checkmark.svg"/></td>
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</tr>
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<tr>
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<td>Search and extract
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<ahref="#chemistry">chemical (sub-)structures</a>
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</td>
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<td></td>
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<td>on request</td>
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</tr>
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</tbody>
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</table>
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<b>public and proprietary PDF documents</b>.
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</p>
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</header>
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<section>
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<h2>Docling</h2>
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<p>
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Work on Deep Search has evolved into <ahref="https://docling.ai"><strong>Docling</strong></a>, an open-source package that has quickly become a leader in the document processing community. The project has been donated to LF AI & Data—learn more at <ahref="https://docling.ai">docling.ai</a>.
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