Package com.google.cloud.aiplatform.v1beta1

Interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
RagEmbeddingModelConfig.HybridSearchConfig, RagEmbeddingModelConfig.HybridSearchConfig.Builder
Enclosing class:
RagEmbeddingModelConfig
public static interface RagEmbeddingModelConfig.HybridSearchConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasSparseEmbeddingConfig

      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:
      Whether the sparseEmbeddingConfig field is set.

    • getSparseEmbeddingConfig

      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:
      The sparseEmbeddingConfig.

    • getSparseEmbeddingConfigOrBuilder

      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];

    • hasDenseEmbeddingModelPredictionEndpoint

      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:
      Whether the denseEmbeddingModelPredictionEndpoint field is set.

    • getDenseEmbeddingModelPredictionEndpoint

      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:
      The denseEmbeddingModelPredictionEndpoint.

    • getDenseEmbeddingModelPredictionEndpointOrBuilder

      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];