CollectionVectorSchemaDenseVectorVertexEmbeddingConfig class

Constructors

CollectionVectorSchemaDenseVectorVertexEmbeddingConfig({required Input<String> modelId, required Input<String> taskType, required Input<String> textTemplate})

Creates a new CollectionVectorSchemaDenseVectorVertexEmbeddingConfig. modelId Required: ID of the embedding model to use. See taskType Possible values: textTemplate Required: Text template for the input to the model. The template must

const

CollectionVectorSchemaDenseVectorVertexEmbeddingConfig.fromMap(Map<String, dynamic> map)

factory

Properties

hashCode → int

The hash code for this object.

no setter, inherited

modelId → Input<String>

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.

final

runtimeType → Type

A representation of the runtime type of the object.

no setter, inherited

taskType → Input<String>

Possible values: RETRIEVAL_QUERY RETRIEVAL_DOCUMENT SEMANTIC_SIMILARITY CLASSIFICATION CLUSTERING QUESTION_ANSWERING FACT_VERIFICATION CODE_RETRIEVAL_QUERY

final

textTemplate → Input<String>

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}".

final

Methods

noSuchMethod(Invocation invocation) → dynamic

Invoked when a nonexistent method or property is accessed.

inherited

toMap() → Map<String, dynamic>

toString() → String

A string representation of this object.

inherited

Operators

operator ==(Object other) → bool

The equality operator.

inherited