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<section id="module-apache_beam.ml.rag.chunking.base">
<span id="apache-beam-ml-rag-chunking-base-module"></span><h1>apache_beam.ml.rag.chunking.base module<a class="headerlink" href="#module-apache_beam.ml.rag.chunking.base" title="Link to this heading"></a></h1>
<dl class="py class">
<dt class="sig sig-object py" id="apache_beam.ml.rag.chunking.base.ChunkingTransformProvider">
<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">apache_beam.ml.rag.chunking.base.</span></span><span class="sig-name descname"><span class="pre">ChunkingTransformProvider</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">chunk_id_fn</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><a class="reference external" href="https://docs.python.org/3/library/collections.abc.html#collections.abc.Callable" title="(in Python v3.13)"><span class="pre">Callable</span></a><span class="p"><span class="pre">[</span></span><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.ml.rag.types.html#apache_beam.ml.rag.types.Chunk" title="apache_beam.ml.rag.types.Chunk"><span class="pre">Chunk</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">]</span></span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/constants.html#None" title="(in Python v3.13)"><span class="pre">None</span></a></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/rag/chunking/base.html#ChunkingTransformProvider"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.rag.chunking.base.ChunkingTransformProvider" title="Link to this definition"></a></dt>
<dd><p>Bases: <a class="reference internal" href="apache_beam.ml.transforms.base.html#apache_beam.ml.transforms.base.MLTransformProvider" title="apache_beam.ml.transforms.base.MLTransformProvider"><code class="xref py py-class docutils literal notranslate"><span class="pre">MLTransformProvider</span></code></a></p>
<p>Base class for chunking transforms in RAG pipelines.</p>
<p>ChunkingTransformProvider defines the interface for splitting documents
into chunks for embedding and retrieval. Implementations should define how
to split content while preserving metadata and managing chunk IDs.</p>
<p>The transform flow:
- Takes input documents with content and metadata
- Splits content into chunks using implementation-specific logic
- Preserves document metadata in resulting chunks
- Optionally assigns unique IDs to chunks (configurable via chunk_id_fn</p>
<dl>
<dt>Example usage:</dt><dd><div class="doctest highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="k">class</span><span class="w"> </span><span class="nc">MyChunker</span><span class="p">(</span><span class="n">ChunkingTransformProvider</span><span class="p">):</span>
<span class="gp">... </span> <span class="k">def</span><span class="w"> </span><span class="nf">get_splitter_transform</span><span class="p">(</span><span class="bp">self</span><span class="p">):</span>
<span class="gp">... </span> <span class="k">return</span> <span class="n">beam</span><span class="o">.</span><span class="n">ParDo</span><span class="p">(</span><span class="n">MySplitterDoFn</span><span class="p">())</span>
<span class="gp">...</span>
<span class="gp">&gt;&gt;&gt; </span><span class="n">chunker</span> <span class="o">=</span> <span class="n">MyChunker</span><span class="p">(</span><span class="n">chunk_id_fn</span><span class="o">=</span><span class="n">my_id_function</span><span class="p">)</span>
<span class="gp">&gt;&gt;&gt;</span>
<span class="gp">&gt;&gt;&gt; </span><span class="k">with</span> <span class="n">beam</span><span class="o">.</span><span class="n">Pipeline</span><span class="p">()</span> <span class="k">as</span> <span class="n">p</span><span class="p">:</span>
<span class="gp">... </span> <span class="n">chunks</span> <span class="o">=</span> <span class="p">(</span>
<span class="gp">... </span> <span class="n">p</span>
<span class="gp">... </span> <span class="o">|</span> <span class="n">beam</span><span class="o">.</span><span class="n">Create</span><span class="p">([{</span><span class="s1">&#39;text&#39;</span><span class="p">:</span> <span class="s1">&#39;document...&#39;</span><span class="p">,</span> <span class="s1">&#39;source&#39;</span><span class="p">:</span> <span class="s1">&#39;doc.txt&#39;</span><span class="p">}])</span>
<span class="gp">... </span> <span class="o">|</span> <span class="n">MLTransform</span><span class="p">(</span><span class="o">...</span><span class="p">)</span><span class="o">.</span><span class="n">with_transform</span><span class="p">(</span><span class="n">chunker</span><span class="p">))</span>
</pre></div>
</div>
</dd>
</dl>
<dl class="field-list simple">
<dt class="field-odd">Parameters<span class="colon">:</span></dt>
<dd class="field-odd"><p><strong>chunk_id_fn</strong> – Optional function to generate chunk IDs. If not provided,
random UUIDs will be used. Function should take a Chunk and return str.</p>
</dd>
</dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.rag.chunking.base.ChunkingTransformProvider.get_splitter_transform">
<em class="property"><span class="pre">abstract</span><span class="w"> </span></em><span class="sig-name descname"><span class="pre">get_splitter_transform</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><span class="pre">PTransform</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.ml.rag.types.html#apache_beam.ml.rag.types.Chunk" title="apache_beam.ml.rag.types.Chunk"><span class="pre">Chunk</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/rag/chunking/base.html#ChunkingTransformProvider.get_splitter_transform"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.rag.chunking.base.ChunkingTransformProvider.get_splitter_transform" title="Link to this definition"></a></dt>
<dd><p>Creates transforms that emits splits for given content.</p>
</dd></dl>
<dl class="py method">
<dt class="sig sig-object py" id="apache_beam.ml.rag.chunking.base.ChunkingTransformProvider.get_ptransform_for_processing">
<span class="sig-name descname"><span class="pre">get_ptransform_for_processing</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="o"><span class="pre">**</span></span><span class="n"><span class="pre">kwargs</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><a class="reference internal" href="apache_beam.transforms.ptransform.html#apache_beam.transforms.ptransform.PTransform" title="apache_beam.transforms.ptransform.PTransform"><span class="pre">PTransform</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Dict" title="(in Python v3.13)"><span class="pre">Dict</span></a><span class="p"><span class="pre">[</span></span><a class="reference external" href="https://docs.python.org/3/library/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference external" href="https://docs.python.org/3/library/typing.html#typing.Any" title="(in Python v3.13)"><span class="pre">Any</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">,</span></span><span class="w"> </span><a class="reference internal" href="apache_beam.pvalue.html#apache_beam.pvalue.PCollection" title="apache_beam.pvalue.PCollection"><span class="pre">PCollection</span></a><span class="p"><span class="pre">[</span></span><a class="reference internal" href="apache_beam.ml.rag.types.html#apache_beam.ml.rag.types.Chunk" title="apache_beam.ml.rag.types.Chunk"><span class="pre">Chunk</span></a><span class="p"><span class="pre">]</span></span><span class="p"><span class="pre">]</span></span></span></span><a class="reference internal" href="_modules/apache_beam/ml/rag/chunking/base.html#ChunkingTransformProvider.get_ptransform_for_processing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.rag.chunking.base.ChunkingTransformProvider.get_ptransform_for_processing" title="Link to this definition"></a></dt>
<dd><p>Creates transform for processing documents into chunks.</p>
</dd></dl>
</dd></dl>
</section>
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