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| <section id="module-apache_beam.ml.rag.embeddings.vertex_ai"> |
| <span id="apache-beam-ml-rag-embeddings-vertex-ai-module"></span><h1>apache_beam.ml.rag.embeddings.vertex_ai module<a class="headerlink" href="#module-apache_beam.ml.rag.embeddings.vertex_ai" title="Link to this heading"></a></h1> |
| <p>RAG-specific embedding implementations using Vertex AI models.</p> |
| <dl class="py class"> |
| <dt class="sig sig-object py" id="apache_beam.ml.rag.embeddings.vertex_ai.VertexAITextEmbeddings"> |
| <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.embeddings.vertex_ai.</span></span><span class="sig-name descname"><span class="pre">VertexAITextEmbeddings</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">model_name</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/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a></span></em>, <em class="sig-param"><span class="o"><span class="pre">*</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">title</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/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><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>, <em class="sig-param"><span class="n"><span class="pre">task_type</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/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</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">'RETRIEVAL_DOCUMENT'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">project</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/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><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>, <em class="sig-param"><span class="n"><span class="pre">location</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/stdtypes.html#str" title="(in Python v3.13)"><span class="pre">str</span></a><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>, <em class="sig-param"><span class="n"><span class="pre">credentials</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">Credentials</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>, <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><a class="reference internal" href="_modules/apache_beam/ml/rag/embeddings/vertex_ai.html#VertexAITextEmbeddings"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.rag.embeddings.vertex_ai.VertexAITextEmbeddings" 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.EmbeddingsManager" title="apache_beam.ml.transforms.base.EmbeddingsManager"><code class="xref py py-class docutils literal notranslate"><span class="pre">EmbeddingsManager</span></code></a></p> |
| <p>Utilizes Vertex AI text embeddings for semantic search and RAG |
| pipelines.</p> |
| <dl class="field-list simple"> |
| <dt class="field-odd">Parameters<span class="colon">:</span></dt> |
| <dd class="field-odd"><ul class="simple"> |
| <li><p><strong>model_name</strong> – Name of the Vertex AI text embedding model</p></li> |
| <li><p><strong>title</strong> – Optional title for the text content</p></li> |
| <li><p><strong>task_type</strong> – Task type for embeddings (default: RETRIEVAL_DOCUMENT)</p></li> |
| <li><p><strong>project</strong> – GCP project ID</p></li> |
| <li><p><strong>location</strong> – GCP location</p></li> |
| <li><p><strong>credentials</strong> – Optional GCP credentials</p></li> |
| <li><p><strong>**kwargs</strong> – Additional arguments passed to EmbeddingsManager including</p></li> |
| <li><p><strong>inference_args.</strong> (<a class="reference internal" href="apache_beam.ml.inference.base.html#apache_beam.ml.inference.base.ModelHandler" title="apache_beam.ml.inference.base.ModelHandler"><em>ModelHandler</em></a>)</p></li> |
| </ul> |
| </dd> |
| </dl> |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.rag.embeddings.vertex_ai.VertexAITextEmbeddings.get_model_handler"> |
| <span class="sig-name descname"><span class="pre">get_model_handler</span></span><span class="sig-paren">(</span><span class="sig-paren">)</span><a class="reference internal" href="_modules/apache_beam/ml/rag/embeddings/vertex_ai.html#VertexAITextEmbeddings.get_model_handler"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.rag.embeddings.vertex_ai.VertexAITextEmbeddings.get_model_handler" title="Link to this definition"></a></dt> |
| <dd><p>Returns model handler configured with RAG adapter.</p> |
| </dd></dl> |
| |
| <dl class="py method"> |
| <dt class="sig sig-object py" id="apache_beam.ml.rag.embeddings.vertex_ai.VertexAITextEmbeddings.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">→</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 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 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/embeddings/vertex_ai.html#VertexAITextEmbeddings.get_ptransform_for_processing"><span class="viewcode-link"><span class="pre">[source]</span></span></a><a class="headerlink" href="#apache_beam.ml.rag.embeddings.vertex_ai.VertexAITextEmbeddings.get_ptransform_for_processing" title="Link to this definition"></a></dt> |
| <dd><p>Returns PTransform that uses the RAG adapter.</p> |
| </dd></dl> |
| |
| </dd></dl> |
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| </section> |
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