Uses of Class com.microsoft.semantickernel.ai.embeddings.Embedding (Semantic Kernel API 0.2.7-alpha API)

Packages that use Embedding
Package Description

com.microsoft.semantickernel.ai.embeddings

com.microsoft.semantickernel.memory

Uses of Embedding in com.microsoft.semantickernel.ai.embeddings

Methods in com.microsoft.semantickernel.ai.embeddings that return Embedding
Modifier and Type	Method	Description
`static <EmbeddingType extends Number> Embedding<EmbeddingType>`	Embedding.`empty()`

Methods in com.microsoft.semantickernel.ai.embeddings that return types with arguments of type Embedding
Modifier and Type	Method	Description
`reactor.core.publisher.Mono<List<Embedding<TEmbedding>>>`	EmbeddingGeneration.`generateEmbeddingsAsync(List<TValue> data)`	Generates a list of embeddings associated to the data

Uses of Embedding in com.microsoft.semantickernel.memory

Methods in com.microsoft.semantickernel.memory that return Embedding
Modifier and Type	Method	Description
`Embedding<? extends Number>`	MemoryRecord.`getEmbedding()`	Gets the source content embeddings.

Methods in com.microsoft.semantickernel.memory with parameters of type Embedding
Modifier and Type	Method	Description
`static MemoryRecord`	MemoryRecord.`fromMetadata(MemoryRecordMetadata metadata, Embedding<Float> embedding, String key, ZonedDateTime timestamp)`	Create a memory record from a memory record's metadata.
`reactor.core.publisher.Mono<reactor.util.function.Tuple2<MemoryRecord,? extends Number>>`	MemoryStore.`getNearestMatchAsync(String collectionName, Embedding<? extends Number> embedding, double minRelevanceScore, boolean withEmbedding)`	Gets the nearest match to the `Embedding` of type `Float`.
`reactor.core.publisher.Mono<Collection<reactor.util.function.Tuple2<MemoryRecord,Number>>>`	MemoryStore.`getNearestMatchesAsync(String collectionName, Embedding<? extends Number> embedding, int limit, double minRelevanceScore, boolean withEmbeddings)`	Gets the nearest matches to the `Embedding` of type `Float`.
`static MemoryRecord`	MemoryRecord.`localRecord(String id, String text, String description, Embedding<Float> embedding, String additionalMetadata, String key, ZonedDateTime timestamp)`	Prepare an instance for a memory stored in the internal storage provider.
`static MemoryRecord`	MemoryRecord.`referenceRecord(String externalId, String sourceName, String description, Embedding<Float> embedding, String additionalMetadata, String key, ZonedDateTime timestamp)`	Prepare an instance about a memory which source is stored externally.

Constructors in com.microsoft.semantickernel.memory with parameters of type Embedding
Constructor	Description
`MemoryRecord(MemoryRecordMetadata metadata, Embedding<? extends Number> embedding, String key, ZonedDateTime timestamp)`	Creates an instance of a `MemoryRecord`.