RagEmbeddingModelConfig_HybridSearchConfig class final
Config for hybrid search.
Constructors
- RagEmbeddingModelConfig_HybridSearchConfig({RagEmbeddingModelConfig_SparseEmbeddingConfig? sparseEmbeddingConfig, required RagEmbeddingModelConfig_VertexPredictionEndpoint? denseEmbeddingModelPredictionEndpoint})
- RagEmbeddingModelConfig_HybridSearchConfig.fromJson(Object? j)
-
factory
Properties
- 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.Durationorgoogle.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
Methods
-
noSuchMethod(
Invocation invocation) → dynamic -
Invoked when a nonexistent method or property is accessed.
inherited
-
toJson(
) → Object -
toString(
) → String -
A string representation of this object.
override
Operators
-
operator ==(
Object other) → bool -
The equality operator.
inherited
Constants
- fullyQualifiedName → const String