Class: Google::Cloud::VectorSearch::V1::VertexEmbeddingConfig

Inherits:
Object
  • Object
show all
Extended by:
Protobuf::MessageExts::ClassMethods
Includes:
Protobuf::MessageExts
Defined in:
proto_docs/google/cloud/vectorsearch/v1/embedding_config.rb

Overview

Message describing the configuration for generating embeddings for a vector field using Vertex AI embeddings API.

Instance Attribute Summary collapse

Instance Attribute Details

#model_id ⇒ ::String

Returns Required. Required: ID of the embedding model to use. See https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models#embeddings-models for the list of supported models.

Returns:



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# File 'proto_docs/google/cloud/vectorsearch/v1/embedding_config.rb', line 39

class VertexEmbeddingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#task_type ⇒ ::Google::Cloud::VectorSearch::V1::EmbeddingTaskType

Returns Required. Required: Task type for the embeddings.

Returns:



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# File 'proto_docs/google/cloud/vectorsearch/v1/embedding_config.rb', line 39

class VertexEmbeddingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end

#text_template ⇒ ::String

Returns Required. Required: Text template for the input to the model. The template must contain one or more references to fields in the DataObject, e.g.: "Movie Title: {title} ---- Movie Plot: {plot}".

Returns:

  • (::String) —

    Required. Required: Text template for the input to the model. The template must contain one or more references to fields in the DataObject, e.g.: "Movie Title: {title} ---- Movie Plot: {plot}".



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# File 'proto_docs/google/cloud/vectorsearch/v1/embedding_config.rb', line 39

class VertexEmbeddingConfig
  include ::Google::Protobuf::MessageExts
  extend ::Google::Protobuf::MessageExts::ClassMethods
end