EmbeddingVector

@RequiresFeature(enforcement = "androidx.appsearch.app.Features#isFeatureSupported", name = Features.SCHEMA_EMBEDDING_PROPERTY_CONFIG)
class EmbeddingVector

Embeddings are vector representations of data, such as text, images, and audio, which can be generated by machine learning models and used for semantic search. This class represents an embedding vector, which wraps a float array for the values of the embedding vector and a model signature that can be any string to distinguish between embedding vectors generated by different models.

For more details on how embedding search works, check search and setRankingStrategy.

Summary

EmbeddingVector(values: FloatArray, modelSignature: String)

fun equals(o: Any!): Boolean

fun getModelSignature(): String

fun getValues(): FloatArray<Float>

fun hashCode(): Int