Package com.google.cloud.aiplatform.v1

Interface RagEmbeddingModelConfigOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
RagEmbeddingModelConfig, RagEmbeddingModelConfig.Builder
@Generated public interface RagEmbeddingModelConfigOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • hasVertexPredictionEndpoint

      boolean hasVertexPredictionEndpoint()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
      Returns:
      Whether the vertexPredictionEndpoint field is set.

    • getVertexPredictionEndpoint

      RagEmbeddingModelConfig.VertexPredictionEndpoint getVertexPredictionEndpoint()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;
      Returns:
      The vertexPredictionEndpoint.

    • getVertexPredictionEndpointOrBuilder

      RagEmbeddingModelConfig.VertexPredictionEndpointOrBuilder getVertexPredictionEndpointOrBuilder()
       The Vertex AI Prediction Endpoint that either refers to a publisher model
 or an endpoint that is hosting a 1P fine-tuned text embedding model.
 Endpoints hosting non-1P fine-tuned text embedding models are
 currently not supported.
 This is used for dense vector search.
      .google.cloud.aiplatform.v1.RagEmbeddingModelConfig.VertexPredictionEndpoint vertex_prediction_endpoint = 1;

    • getModelConfigCase

      RagEmbeddingModelConfig.ModelConfigCase getModelConfigCase()