Package com.google.cloud.aiplatform.v1

Interface RetrieveContextsRequest.VertexRagStoreOrBuilder

All Superinterfaces:
com.google.protobuf.MessageLiteOrBuilder, com.google.protobuf.MessageOrBuilder
All Known Implementing Classes:
RetrieveContextsRequest.VertexRagStore, RetrieveContextsRequest.VertexRagStore.Builder
Enclosing class:
RetrieveContextsRequest
public static interface RetrieveContextsRequest.VertexRagStoreOrBuilder extends com.google.protobuf.MessageOrBuilder

  • Method Details

    • getRagResourcesList

      List<RetrieveContextsRequest.VertexRagStore.RagResource> getRagResourcesList()
       Optional. The representation of the rag source. It can be used to specify
 corpus only or ragfiles. Currently only support one corpus or multiple
 files from one corpus. In the future we may open up multiple corpora
 support.
      repeated .google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource rag_resources = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getRagResources

      RetrieveContextsRequest.VertexRagStore.RagResource getRagResources(int index)
       Optional. The representation of the rag source. It can be used to specify
 corpus only or ragfiles. Currently only support one corpus or multiple
 files from one corpus. In the future we may open up multiple corpora
 support.
      repeated .google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource rag_resources = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getRagResourcesCount

      int getRagResourcesCount()
       Optional. The representation of the rag source. It can be used to specify
 corpus only or ragfiles. Currently only support one corpus or multiple
 files from one corpus. In the future we may open up multiple corpora
 support.
      repeated .google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource rag_resources = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getRagResourcesOrBuilderList

      List<? extends RetrieveContextsRequest.VertexRagStore.RagResourceOrBuilder> getRagResourcesOrBuilderList()
       Optional. The representation of the rag source. It can be used to specify
 corpus only or ragfiles. Currently only support one corpus or multiple
 files from one corpus. In the future we may open up multiple corpora
 support.
      repeated .google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource rag_resources = 3 [(.google.api.field_behavior) = OPTIONAL];

    • getRagResourcesOrBuilder

      RetrieveContextsRequest.VertexRagStore.RagResourceOrBuilder getRagResourcesOrBuilder(int index)
       Optional. The representation of the rag source. It can be used to specify
 corpus only or ragfiles. Currently only support one corpus or multiple
 files from one corpus. In the future we may open up multiple corpora
 support.
      repeated .google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.RagResource rag_resources = 3 [(.google.api.field_behavior) = OPTIONAL];

    • hasVectorDistanceThreshold

      @Deprecated boolean hasVectorDistanceThreshold()
      Deprecated.
      google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.vector_distance_threshold is deprecated. See google/cloud/aiplatform/v1/vertex_rag_service.proto;l=143
       Optional. Only return contexts with vector distance smaller than the
 threshold.
      optional double vector_distance_threshold = 2 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      Whether the vectorDistanceThreshold field is set.

    • getVectorDistanceThreshold

      @Deprecated double getVectorDistanceThreshold()
      Deprecated.
      google.cloud.aiplatform.v1.RetrieveContextsRequest.VertexRagStore.vector_distance_threshold is deprecated. See google/cloud/aiplatform/v1/vertex_rag_service.proto;l=143
       Optional. Only return contexts with vector distance smaller than the
 threshold.
      optional double vector_distance_threshold = 2 [deprecated = true, (.google.api.field_behavior) = OPTIONAL];
      Returns:
      The vectorDistanceThreshold.