RagContexts_Context class - aiplatform library

Constructors

RagContexts_Context({String sourceUri = '', String sourceDisplayName = '', String text = '', double distance = 0, double sparseDistance = 0, double? score, RagChunk? chunk})
RagContexts_Context.fromJson(Map<String, dynamic> json): factory

chunk → RagChunk?: Context of the retrieved chunk.
final
distance → double: The distance between the query dense embedding vector and the context text vector.
final
hashCode → int: The hash code for this object.
no setterinherited
qualifiedName → String: The fully qualified name of this message, i.e., google.protobuf.Duration or google.rpc.ErrorInfo.
finalinherited
runtimeType → Type: A representation of the runtime type of the object.
no setterinherited
score → double?: According to the underlying Vector DB and the selected metric type, the score can be either the distance or the similarity between the query and the context and its range depends on the metric type.
final
sourceDisplayName → String: The file display name.
final
sourceUri → String: If the file is imported from Cloud Storage or Google Drive, source_uri will be original file URI in Cloud Storage or Google Drive; if file is uploaded, source_uri will be file display name.
final
sparseDistance → double: The distance between the query sparse embedding vector and the context text vector.
final
text → String: The text chunk.
final

noSuchMethod(Invocation invocation) → dynamic: Invoked when a nonexistent method or property is accessed.
inherited
toJson() → Object: override
toString() → String: A string representation of this object.
override