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

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
Embedding	Embedding.divide(float divisor)	Divide the Embedding vector by a divisor.
static Embedding	Embedding.empty()
Embedding	Embedding.multiply(float multiplier)	Multiply the Embedding vector by a multiplier.
Embedding	Embedding.normalize()	Normalizes the underlying vector, such that the Euclidean length is 1.

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>>	EmbeddingGeneration.generateEmbeddingsAsync(List<TValue> data)	Generates a list of embeddings associated to the data

Methods in com.microsoft.semantickernel.ai.embeddings with parameters of type Embedding

Modifier and Type	Method	Description
float	Embedding.cosineSimilarity(Embedding other)	Calculates the cosine similarity of this vector with another.
float	Embedding.dot(Embedding other)	Calculates the dot product of this Embedding with another.

Uses of Embedding in com.microsoft.semantickernel.memory

Methods in com.microsoft.semantickernel.memory that return Embedding

Modifier and Type	Method	Description
Embedding	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.fromJsonMetadata(String json, Embedding embedding, String key, ZonedDateTime timestamp)
static MemoryRecord	MemoryRecord.fromMetadata(MemoryRecordMetadata metadata, Embedding embedding, String key, ZonedDateTime timestamp)	Create a memory record from a memory record's metadata.
reactor.core.publisher.Mono<reactor.util.function.Tuple2<MemoryRecord,Float>>	MemoryStore.getNearestMatchAsync(String collectionName, Embedding embedding, float minRelevanceScore, boolean withEmbedding)	Gets the nearest match to the Embedding of type Float.
reactor.core.publisher.Mono<Collection<reactor.util.function.Tuple2<MemoryRecord,Float>>>	MemoryStore.getNearestMatchesAsync(String collectionName, Embedding embedding, int limit, float minRelevanceScore, boolean withEmbeddings)	Gets the nearest matches to the Embedding of type Float.
static MemoryRecord	MemoryRecord.localRecord(String id, String text, String description, Embedding 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 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 embedding, String key, ZonedDateTime timestamp)	Creates an instance of a MemoryRecord.