public sealed class RagEmbeddingModelConfig.Types.HybridSearchConfig : IMessage<RagEmbeddingModelConfig.Types.HybridSearchConfig>, IEquatable<RagEmbeddingModelConfig.Types.HybridSearchConfig>, IDeepCloneable<RagEmbeddingModelConfig.Types.HybridSearchConfig>, IBufferMessage, IMessageReference documentation and code samples for the Vertex AI v1beta1 API class RagEmbeddingModelConfig.Types.HybridSearchConfig.
Config for hybrid search.
Implements
IMessageRagEmbeddingModelConfigTypesHybridSearchConfig, IEquatableRagEmbeddingModelConfigTypesHybridSearchConfig, IDeepCloneableRagEmbeddingModelConfigTypesHybridSearchConfig, IBufferMessage, IMessageNamespace
Google.Cloud.AIPlatform.V1Beta1Assembly
Google.Cloud.AIPlatform.V1Beta1.dll
Constructors
HybridSearchConfig()
public HybridSearchConfig()HybridSearchConfig(HybridSearchConfig)
public HybridSearchConfig(RagEmbeddingModelConfig.Types.HybridSearchConfig other)| Parameter | |
|---|---|
| Name | Description |
other |
RagEmbeddingModelConfigTypesHybridSearchConfig |
Properties
DenseEmbeddingModelPredictionEndpoint
public RagEmbeddingModelConfig.Types.VertexPredictionEndpoint DenseEmbeddingModelPredictionEndpoint { get; set; }Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.
| Property Value | |
|---|---|
| Type | Description |
RagEmbeddingModelConfigTypesVertexPredictionEndpoint |
|
SparseEmbeddingConfig
public RagEmbeddingModelConfig.Types.SparseEmbeddingConfig SparseEmbeddingConfig { get; set; }Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.
| Property Value | |
|---|---|
| Type | Description |
RagEmbeddingModelConfigTypesSparseEmbeddingConfig |
|