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RAG with Milvus
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RAG with OpenSearch
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RAG with Weaviate
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RAG with MongoDB + VoyageAI
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RAG with Vault PII transform [↗]
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<h1>Advanced options</h1>
<h2 id="model-prefetching-and-offline-usage">Model prefetching and offline usage</h2>
<p>By default, models are downloaded automatically upon first usage. If you would prefer
to explicitly prefetch them for offline use (e.g. in air-gapped environments) you can do
that as follows:</p>
<p><strong>Step 1: Prefetch the models</strong></p>
<p>Use the <code>docling-tools models download</code> utility:</p>
<div class="highlight"><pre><span></span><code>$<span class="w"> </span>docling-tools<span class="w"> </span>models<span class="w"> </span>download
Downloading<span class="w"> </span>layout<span class="w"> </span>model...
Downloading<span class="w"> </span>tableformer<span class="w"> </span>model...
Downloading<span class="w"> </span>picture<span class="w"> </span>classifier<span class="w"> </span>model...
Downloading<span class="w"> </span>code<span class="w"> </span>formula<span class="w"> </span>model...
Downloading<span class="w"> </span>easyocr<span class="w"> </span>models...
Models<span class="w"> </span>downloaded<span class="w"> </span>into<span class="w"> </span><span class="nv">$HOME</span>/.cache/docling/models.
</code></pre></div>
<p>Alternatively, models can be programmatically downloaded using <code>docling.utils.model_downloader.download_models()</code>.</p>
<p>Also, you can use <code>download-hf-repo</code> parameter to download arbitrary models from HuggingFace by specifying repo id:</p>
<div class="highlight"><pre><span></span><code>$<span class="w"> </span>docling-tools<span class="w"> </span>models<span class="w"> </span>download-hf-repo<span class="w"> </span>ds4sd/SmolDocling-256M-preview
Downloading<span class="w"> </span>ds4sd/SmolDocling-256M-preview<span class="w"> </span>model<span class="w"> </span>from<span class="w"> </span>HuggingFace...
</code></pre></div>
<p><strong>Step 2: Use the prefetched models</strong></p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.base_models</span><span class="w"> </span><span class="kn">import</span> <span class="n">InputFormat</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.pipeline_options</span><span class="w"> </span><span class="kn">import</span> <span class="n">EasyOcrOptions</span><span class="p">,</span> <span class="n">PdfPipelineOptions</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.document_converter</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentConverter</span><span class="p">,</span> <span class="n">PdfFormatOption</span>
<span class="n">artifacts_path</span> <span class="o">=</span> <span class="s2">&quot;/local/path/to/models&quot;</span>
<span class="n">pipeline_options</span> <span class="o">=</span> <span class="n">PdfPipelineOptions</span><span class="p">(</span><span class="n">artifacts_path</span><span class="o">=</span><span class="n">artifacts_path</span><span class="p">)</span>
<span class="n">doc_converter</span> <span class="o">=</span> <span class="n">DocumentConverter</span><span class="p">(</span>
<span class="n">format_options</span><span class="o">=</span><span class="p">{</span>
<span class="n">InputFormat</span><span class="o">.</span><span class="n">PDF</span><span class="p">:</span> <span class="n">PdfFormatOption</span><span class="p">(</span><span class="n">pipeline_options</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">)</span>
<span class="p">}</span>
<span class="p">)</span>
</code></pre></div>
<p>Or using the CLI:</p>
<div class="highlight"><pre><span></span><code>docling<span class="w"> </span>--artifacts-path<span class="o">=</span><span class="s2">&quot;/local/path/to/models&quot;</span><span class="w"> </span>FILE
</code></pre></div>
<p>Or using the <code>DOCLING_ARTIFACTS_PATH</code> environment variable:</p>
<div class="highlight"><pre><span></span><code><span class="nb">export</span><span class="w"> </span><span class="nv">DOCLING_ARTIFACTS_PATH</span><span class="o">=</span><span class="s2">&quot;/local/path/to/models&quot;</span>
python<span class="w"> </span>my_docling_script.py
</code></pre></div>
<h2 id="using-remote-services">Using remote services</h2>
<p>The main purpose of Docling is to run local models which are not sharing any user data with remote services.
Anyhow, there are valid use cases for processing part of the pipeline using remote services, for example invoking OCR engines from cloud vendors or the usage of hosted LLMs.</p>
<p>In Docling we decided to allow such models, but we require the user to explicitly opt-in in communicating with external services.</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.base_models</span><span class="w"> </span><span class="kn">import</span> <span class="n">InputFormat</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.pipeline_options</span><span class="w"> </span><span class="kn">import</span> <span class="n">PdfPipelineOptions</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.document_converter</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentConverter</span><span class="p">,</span> <span class="n">PdfFormatOption</span>
<span class="n">pipeline_options</span> <span class="o">=</span> <span class="n">PdfPipelineOptions</span><span class="p">(</span><span class="n">enable_remote_services</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">doc_converter</span> <span class="o">=</span> <span class="n">DocumentConverter</span><span class="p">(</span>
<span class="n">format_options</span><span class="o">=</span><span class="p">{</span>
<span class="n">InputFormat</span><span class="o">.</span><span class="n">PDF</span><span class="p">:</span> <span class="n">PdfFormatOption</span><span class="p">(</span><span class="n">pipeline_options</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">)</span>
<span class="p">}</span>
<span class="p">)</span>
</code></pre></div>
<p>When the value <code>enable_remote_services=True</code> is not set, the system will raise an exception <code>OperationNotAllowed()</code>.</p>
<p><em>Note: This option is only related to the system sending user data to remote services. Control of pulling data (e.g. model weights) follows the logic described in <a href="#model-prefetching-and-offline-usage">Model prefetching and offline usage</a>.</em></p>
<h3 id="list-of-remote-model-services">List of remote model services</h3>
<p>The options in this list require the explicit <code>enable_remote_services=True</code> when processing the documents.</p>
<ul>
<li><code>PictureDescriptionApiOptions</code>: Using vision models via API calls.</li>
</ul>
<h2 id="adjust-pipeline-features">Adjust pipeline features</h2>
<p>The example file <a href="../../examples/custom_convert/">custom_convert.py</a> contains multiple ways
one can adjust the conversion pipeline and features.</p>
<h3 id="control-pdf-table-extraction-options">Control PDF table extraction options</h3>
<p>You can control if table structure recognition should map the recognized structure back to PDF cells (default) or use text cells from the structure prediction itself.
This can improve output quality if you find that multiple columns in extracted tables are erroneously merged into one.</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.base_models</span><span class="w"> </span><span class="kn">import</span> <span class="n">InputFormat</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.document_converter</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentConverter</span><span class="p">,</span> <span class="n">PdfFormatOption</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.pipeline_options</span><span class="w"> </span><span class="kn">import</span> <span class="n">PdfPipelineOptions</span>
<span class="n">pipeline_options</span> <span class="o">=</span> <span class="n">PdfPipelineOptions</span><span class="p">(</span><span class="n">do_table_structure</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">pipeline_options</span><span class="o">.</span><span class="n">table_structure_options</span><span class="o">.</span><span class="n">do_cell_matching</span> <span class="o">=</span> <span class="kc">False</span> <span class="c1"># uses text cells predicted from table structure model</span>
<span class="n">doc_converter</span> <span class="o">=</span> <span class="n">DocumentConverter</span><span class="p">(</span>
<span class="n">format_options</span><span class="o">=</span><span class="p">{</span>
<span class="n">InputFormat</span><span class="o">.</span><span class="n">PDF</span><span class="p">:</span> <span class="n">PdfFormatOption</span><span class="p">(</span><span class="n">pipeline_options</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">)</span>
<span class="p">}</span>
<span class="p">)</span>
</code></pre></div>
<p>Since docling 1.16.0: You can control which TableFormer mode you want to use. Choose between <code>TableFormerMode.FAST</code> (faster but less accurate) and <code>TableFormerMode.ACCURATE</code> (default) to receive better quality with difficult table structures.</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.base_models</span><span class="w"> </span><span class="kn">import</span> <span class="n">InputFormat</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.document_converter</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentConverter</span><span class="p">,</span> <span class="n">PdfFormatOption</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.pipeline_options</span><span class="w"> </span><span class="kn">import</span> <span class="n">PdfPipelineOptions</span><span class="p">,</span> <span class="n">TableFormerMode</span>
<span class="n">pipeline_options</span> <span class="o">=</span> <span class="n">PdfPipelineOptions</span><span class="p">(</span><span class="n">do_table_structure</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">pipeline_options</span><span class="o">.</span><span class="n">table_structure_options</span><span class="o">.</span><span class="n">mode</span> <span class="o">=</span> <span class="n">TableFormerMode</span><span class="o">.</span><span class="n">ACCURATE</span> <span class="c1"># use more accurate TableFormer model</span>
<span class="n">doc_converter</span> <span class="o">=</span> <span class="n">DocumentConverter</span><span class="p">(</span>
<span class="n">format_options</span><span class="o">=</span><span class="p">{</span>
<span class="n">InputFormat</span><span class="o">.</span><span class="n">PDF</span><span class="p">:</span> <span class="n">PdfFormatOption</span><span class="p">(</span><span class="n">pipeline_options</span><span class="o">=</span><span class="n">pipeline_options</span><span class="p">)</span>
<span class="p">}</span>
<span class="p">)</span>
</code></pre></div>
<h2 id="impose-limits-on-the-document-size">Impose limits on the document size</h2>
<p>You can limit the file size and number of pages which should be allowed to process per document:</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">pathlib</span><span class="w"> </span><span class="kn">import</span> <span class="n">Path</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.document_converter</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentConverter</span>
<span class="n">source</span> <span class="o">=</span> <span class="s2">&quot;https://arxiv.org/pdf/2408.09869&quot;</span>
<span class="n">converter</span> <span class="o">=</span> <span class="n">DocumentConverter</span><span class="p">()</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">converter</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">source</span><span class="p">,</span> <span class="n">max_num_pages</span><span class="o">=</span><span class="mi">100</span><span class="p">,</span> <span class="n">max_file_size</span><span class="o">=</span><span class="mi">20971520</span><span class="p">)</span>
</code></pre></div>
<h2 id="convert-from-binary-pdf-streams">Convert from binary PDF streams</h2>
<p>You can convert PDFs from a binary stream instead of from the filesystem as follows:</p>
<div class="highlight"><pre><span></span><code><span class="kn">from</span><span class="w"> </span><span class="nn">io</span><span class="w"> </span><span class="kn">import</span> <span class="n">BytesIO</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.datamodel.base_models</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentStream</span>
<span class="kn">from</span><span class="w"> </span><span class="nn">docling.document_converter</span><span class="w"> </span><span class="kn">import</span> <span class="n">DocumentConverter</span>
<span class="n">buf</span> <span class="o">=</span> <span class="n">BytesIO</span><span class="p">(</span><span class="n">your_binary_stream</span><span class="p">)</span>
<span class="n">source</span> <span class="o">=</span> <span class="n">DocumentStream</span><span class="p">(</span><span class="n">name</span><span class="o">=</span><span class="s2">&quot;my_doc.pdf&quot;</span><span class="p">,</span> <span class="n">stream</span><span class="o">=</span><span class="n">buf</span><span class="p">)</span>
<span class="n">converter</span> <span class="o">=</span> <span class="n">DocumentConverter</span><span class="p">()</span>
<span class="n">result</span> <span class="o">=</span> <span class="n">converter</span><span class="o">.</span><span class="n">convert</span><span class="p">(</span><span class="n">source</span><span class="p">)</span>
</code></pre></div>
<h2 id="limit-resource-usage">Limit resource usage</h2>
<p>You can limit the CPU threads used by Docling by setting the environment variable <code>OMP_NUM_THREADS</code> accordingly. The default setting is using 4 CPU threads.</p>
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