Uses of Interface
org.nasdanika.ai.EmbeddingGenerator

Uses of EmbeddingGenerator in org.nasdanika.ai

Subinterfaces of EmbeddingGenerator in org.nasdanika.ai

Modifier and Type	Interface	Description
interface	EmbeddingModel<S,E>
interface	FloatVectorEmbeddingGenerator<S>
interface	ImageEmbeddingGenerator<E>
interface	ImageFloatVectorEmbeddingModel
interface	ImageNarrator	Converts image to text (String).
interface	Narrator<S>	Converts source to text (String).
interface	TextEmbeddingGenerator<E>
interface	TextFloatVectorEmbeddingModel	TextFloatVectorEmbeddingModel "business" interface focusing on ease of use and leaving token usage reporting to implementations.
interface	VectorEmbeddingGenerator<S,E>

Classes in org.nasdanika.ai that implement EmbeddingGenerator

Modifier and Type	Class	Description
class	BagOfWordsGenerator	Splits input by whitespace, lowercases and then computes frequency of each word
class	ByteArrayImageMetadataNarrator
class	CachingEmbeddingGenerator<S,E,K>	Caches image embeddings in a map which can be loaded and saved between runs Uses image digest as caching key
class	CachingImageEmbeddingGenerator<E>	Caches image embeddings in a map which can be loaded and saved between runs Uses image digest as caching key
class	CachingImageNarrator
class	CachingTextEmbeddingGenerator<E>	Caches text embeddings in a map which can be loaded and saved between runs Uses text digest as caching key
class	ChatImageNarrator
class	FileImageMetadataNarrator
class	ImageMetadataNarrator<S>
class	MapCachingEmbeddingGenerator<S,E,K>	Caches image embeddings in a map which can be loaded and saved between runs Uses image digest as caching key
class	TextFloatVectorCharChunkingEmbeddings	A simple implementation which treats a character as a token.
class	TextFloatVectorChunkingEmbeddingModel<T>
class	TextFloatVectorEncodingChunkingEmbeddingModel
class	UriImageMetadataNarrator	Can handle data: URIs
class	UrlImageMetadataNarrator

Fields in org.nasdanika.ai declared as EmbeddingGenerator

Modifier and Type	Field	Description
protected EmbeddingGenerator<S,E>	CachingEmbeddingGenerator.target

Methods in org.nasdanika.ai that return EmbeddingGenerator

Modifier and Type	Method	Description
default <V> EmbeddingGenerator<V,E>	EmbeddingGenerator.adapt(Function<V,reactor.core.publisher.Mono<S>> mapper)
default EmbeddingGenerator<File,E>	ImageEmbeddingGenerator.asFileEmbeddingGenerator()
default EmbeddingGenerator<InputStream,E>	ImageEmbeddingGenerator.asInputStreamEmbeddingGenerator()
default EmbeddingGenerator<URL,E>	ImageEmbeddingGenerator.asUrlEmbeddingGenerator()
default EmbeddingGenerator<S,E>	EmbeddingGenerator.compose(EmbeddingGenerator<? super S,? extends E> other, BinaryOperator<E> composer)	Calls this embedding generator and returns its return value if it is not null and composer is null.
default EmbeddingGenerator<S,E>	EmbeddingGenerator.compose(EmbeddingGenerator<S,E> other)
static <S, E> EmbeddingGenerator<S,E>	EmbeddingGenerator.compose(EmbeddingGenerator<S,E> a, EmbeddingGenerator<S,E> b, BinaryOperator<E> composer)
default EmbeddingGenerator<S,E>	EmbeddingGenerator.composeAsync(EmbeddingGenerator<? super S,? extends E> other, BiFunction<? super E,? super E,reactor.core.publisher.Mono<E>> composer)	Calls this embedding generator and returns its return value if it is not null and composer is null.
default <F> EmbeddingGenerator<S,F>	EmbeddingGenerator.then(EmbeddingGenerator<E,F> next)

Methods in org.nasdanika.ai that return types with arguments of type EmbeddingGenerator

Modifier and Type	Method	Description
Predicate<EmbeddingGenerator<?,?>>	EmbeddingGenerator.Requirement.predicate()	Returns the value of the predicate record component.
static <S, E> Optional<EmbeddingGenerator<S,E>>	EmbeddingGenerator.reduce(Stream<EmbeddingGenerator<S,E>> stream, BinaryOperator<E> composer)
Predicate<Class<? extends EmbeddingGenerator<?,?>>>	EmbeddingGenerator.Requirement.typePredicate()	Returns the value of the typePredicate record component.

Methods in org.nasdanika.ai with parameters of type EmbeddingGenerator

Modifier and Type	Method	Description
default EmbeddingGenerator<S,E>	EmbeddingGenerator.compose(EmbeddingGenerator<? super S,? extends E> other, BinaryOperator<E> composer)	Calls this embedding generator and returns its return value if it is not null and composer is null.
default EmbeddingGenerator<S,E>	EmbeddingGenerator.compose(EmbeddingGenerator<S,E> other)
static <S, E> EmbeddingGenerator<S,E>	EmbeddingGenerator.compose(EmbeddingGenerator<S,E> a, EmbeddingGenerator<S,E> b, BinaryOperator<E> composer)
default EmbeddingGenerator<S,E>	EmbeddingGenerator.composeAsync(EmbeddingGenerator<? super S,? extends E> other, BiFunction<? super E,? super E,reactor.core.publisher.Mono<E>> composer)	Calls this embedding generator and returns its return value if it is not null and composer is null.
static <S, E, K> MapCachingEmbeddingGenerator<S,E,K>	MapCachingEmbeddingGenerator.create(EmbeddingGenerator<S,E> target, Map<K,E> cache, Function<S,K> keyComputer)	Creates an instance which uses the provided key computer.
default <F> EmbeddingGenerator<S,F>	EmbeddingGenerator.then(EmbeddingGenerator<E,F> next)

Method parameters in org.nasdanika.ai with type arguments of type EmbeddingGenerator

Modifier and Type	Method	Description
static <S, E> Optional<EmbeddingGenerator<S,E>>	EmbeddingGenerator.reduce(Stream<EmbeddingGenerator<S,E>> stream, BinaryOperator<E> composer)

Constructors in org.nasdanika.ai with parameters of type EmbeddingGenerator

Modifier	Constructor	Description
protected	CachingEmbeddingGenerator(EmbeddingGenerator<S,E> target)
protected	MapCachingEmbeddingGenerator(EmbeddingGenerator<S,E> target, Map<K,E> cache)

Constructor parameters in org.nasdanika.ai with type arguments of type EmbeddingGenerator

Modifier	Constructor	Description
	Requirement(Class<?> sourceType, Class<?> embeddingType, Predicate<Class<? extends EmbeddingGenerator<?,?>>> typePredicate, Predicate<EmbeddingGenerator<?,?>> predicate)	Creates an instance of a Requirement record class.