Interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder (3.56.0)

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public static interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getDenseEmbeddingModelPredictionEndpoint()

public abstract RagEmbeddingModelConfig.VertexPredictionEndpoint getDenseEmbeddingModelPredictionEndpoint()

Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpoint	The denseEmbeddingModelPredictionEndpoint.

getDenseEmbeddingModelPredictionEndpointOrBuilder()

public abstract RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder getDenseEmbeddingModelPredictionEndpointOrBuilder()

Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder

getSparseEmbeddingConfig()

public abstract RagEmbeddingModelConfig.SparseEmbeddingConfig getSparseEmbeddingConfig()

Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RagEmbeddingModelConfig.SparseEmbeddingConfig	The sparseEmbeddingConfig.

getSparseEmbeddingConfigOrBuilder()

public abstract RagEmbeddingModelConfig.SparseEmbeddingConfigOrBuilder getSparseEmbeddingConfigOrBuilder()

Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
RagEmbeddingModelConfig.SparseEmbeddingConfigOrBuilder

hasDenseEmbeddingModelPredictionEndpoint()

public abstract boolean hasDenseEmbeddingModelPredictionEndpoint()

Required. The Vertex AI Prediction Endpoint that hosts the embedding model for dense embedding generations.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.VertexPredictionEndpoint dense_embedding_model_prediction_endpoint = 2 [(.google.api.field_behavior) = REQUIRED];

Returns
Type	Description
boolean	Whether the denseEmbeddingModelPredictionEndpoint field is set.

hasSparseEmbeddingConfig()

public abstract boolean hasSparseEmbeddingConfig()

Optional. The configuration for sparse embedding generation. This field is optional the default behavior depends on the vector database choice on the RagCorpus.

.google.cloud.aiplatform.v1beta1.RagEmbeddingModelConfig.SparseEmbeddingConfig sparse_embedding_config = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the sparseEmbeddingConfig field is set.