RagEmbeddingModelConfig_HybridSearchConfig class final

Config for hybrid search.

Inheritance

Constructors

RagEmbeddingModelConfig_HybridSearchConfig({RagEmbeddingModelConfig_SparseEmbeddingConfig? sparseEmbeddingConfig, required RagEmbeddingModelConfig_VertexPredictionEndpoint? denseEmbeddingModelPredictionEndpoint})
RagEmbeddingModelConfig_HybridSearchConfig.fromJson(Object? j): factory

denseEmbeddingModelPredictionEndpoint → RagEmbeddingModelConfig_VertexPredictionEndpoint?: Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.
final
hashCode → int: The hash code for this object.
no setterinherited
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
sparseEmbeddingConfig → RagEmbeddingModelConfig_SparseEmbeddingConfig?: Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override