Uses of Class
dev.langchain4j.data.embedding.Embedding

Packages that use Embedding

Package	Description
dev.langchain4j.data.embedding
dev.langchain4j.model.embedding
dev.langchain4j.store.embedding

Uses of Embedding in dev.langchain4j.data.embedding

Methods in dev.langchain4j.data.embedding that return Embedding

Modifier and Type	Method	Description
static Embedding	Embedding.from(float[] vector)	Creates a new Embedding from the given vector.
static Embedding	Embedding.from(List<Float> vector)	Creates a new Embedding from the given vector.

Uses of Embedding in dev.langchain4j.model.embedding

Methods in dev.langchain4j.model.embedding that return types with arguments of type Embedding

Modifier and Type	Method	Description
Response<Embedding>	DisabledEmbeddingModel.embed(TextSegment textSegment)
Response<Embedding>	DisabledEmbeddingModel.embed(String text)
default Response<Embedding>	EmbeddingModel.embed(TextSegment textSegment)	Embed the text content of a TextSegment.
default Response<Embedding>	EmbeddingModel.embed(String text)	Embed a text.
Response<List<Embedding>>	DisabledEmbeddingModel.embedAll(List<TextSegment> textSegments)
Response<List<Embedding>>	EmbeddingModel.embedAll(List<TextSegment> textSegments)	Embeds the text content of a list of TextSegments.

Uses of Embedding in dev.langchain4j.store.embedding

Methods in dev.langchain4j.store.embedding that return Embedding

Modifier and Type	Method	Description
Embedding	EmbeddingMatch.embedding()	Returns the embedding that has been matched.
Embedding	EmbeddingSearchRequest.queryEmbedding()

Methods in dev.langchain4j.store.embedding with parameters of type Embedding

Modifier and Type	Method	Description
String	EmbeddingStore.add(Embedding embedding)	Adds a given embedding to the store.
String	EmbeddingStore.add(Embedding embedding, Embedded embedded)	Adds a given embedding and the corresponding content that has been embedded to the store.
void	EmbeddingStore.add(String id, Embedding embedding)	Adds a given embedding to the store.
static double	CosineSimilarity.between(Embedding embeddingA, Embedding embeddingB)	Calculates cosine similarity between two vectors.
default List<EmbeddingMatch<Embedded>>	EmbeddingStore.findRelevant(Embedding referenceEmbedding, int maxResults)	Deprecated, for removal: This API element is subject to removal in a future version. as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
default List<EmbeddingMatch<Embedded>>	EmbeddingStore.findRelevant(Embedding referenceEmbedding, int maxResults, double minScore)	Deprecated, for removal: This API element is subject to removal in a future version. as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
default List<EmbeddingMatch<Embedded>>	EmbeddingStore.findRelevant(Object memoryId, Embedding referenceEmbedding, int maxResults)	Deprecated, for removal: This API element is subject to removal in a future version. as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
default List<EmbeddingMatch<Embedded>>	EmbeddingStore.findRelevant(Object memoryId, Embedding referenceEmbedding, int maxResults, double minScore)	Deprecated, for removal: This API element is subject to removal in a future version. as of 0.31.0, use EmbeddingStore.search(EmbeddingSearchRequest) instead.
EmbeddingSearchRequest.EmbeddingSearchRequestBuilder	EmbeddingSearchRequest.EmbeddingSearchRequestBuilder.queryEmbedding(Embedding queryEmbedding)

Method parameters in dev.langchain4j.store.embedding with type arguments of type Embedding

Modifier and Type	Method	Description
List<String>	EmbeddingStore.addAll(List<Embedding> embeddings)	Adds multiple embeddings to the store.
List<String>	EmbeddingStore.addAll(List<Embedding> embeddings, List<Embedded> embedded)	Adds multiple embeddings and their corresponding contents that have been embedded to the store.

Constructors in dev.langchain4j.store.embedding with parameters of type Embedding

Modifier	Constructor	Description
	EmbeddingMatch(Double score, String embeddingId, Embedding embedding, Embedded embedded)	Creates a new instance.
	EmbeddingSearchRequest(Embedding queryEmbedding, Integer maxResults, Double minScore, Filter filter)	Creates an instance of an EmbeddingSearchRequest.