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VertexAI's API documentation [1] is an absolute mess. In it, they describe the parameter to configure output dimensionality as `output_dimensionality`. In the API example, they switch to using snake case `outputDimensionality`, which is the correct variant. [1]: https://cloud.google.com/vertex-ai/generative-ai/docs/model-reference/text-embeddings-api#generative-ai-get-text-embedding-drest |
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| .. | ||
| batches | ||
| context_caching | ||
| files | ||
| fine_tuning | ||
| gemini | ||
| gemini_embeddings | ||
| image_generation | ||
| multimodal_embeddings | ||
| text_to_speech | ||
| vertex_ai_partner_models | ||
| vertex_embeddings | ||
| vertex_model_garden | ||
| common_utils.py | ||
| cost_calculator.py | ||
| vertex_ai_non_gemini.py | ||
| vertex_llm_base.py | ||