Index

A B C D E F G H I L M N O P R S T U V W
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

AbstractDoubleFitter - Class in org.nasdanika.ai

Collects all samples to double[][] features and double[][] labels, then calls fit(double[][] features, double[][] labels) to fit Function<double[][],double[][]> which makes predictions for multiple features at once.

AbstractDoubleFitter() - Constructor for class org.nasdanika.ai.AbstractDoubleFitter

AbstractMapReduceDoubleFitter - Class in org.nasdanika.ai

Creates a Function<double[][],double[]> predictor for each label element, predicts label elements using provided predictors and then combines

AbstractMapReduceDoubleFitter() - Constructor for class org.nasdanika.ai.AbstractMapReduceDoubleFitter

AbstractRecursiveDoubleFitter - Class in org.nasdanika.ai

Creates a Function<double[][],double[]> predictor for each label element with features for later elements including labels for earlier.

AbstractRecursiveDoubleFitter() - Constructor for class org.nasdanika.ai.AbstractRecursiveDoubleFitter

adapt(Function<U, T>, Function<U, Mono<T>>) - Method in interface org.nasdanika.ai.SimilaritySearch

adapt(Function<V, Mono<S>>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

adapt(Function<V, Mono<T>>) - Method in interface org.nasdanika.ai.SimilarityComputer

adapt(SimilaritySearch<List<Float>, D>) - Static method in interface org.nasdanika.ai.SimilaritySearch

Adapts a single vector search to multi-vector search

adaptFeature(Function<G, F>) - Method in interface org.nasdanika.ai.FittedPredictor

adaptFeature(Function<G, F>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

adaptFeature(Function<G, F>) - Method in interface org.nasdanika.ai.Predictor

adaptFeatureAsync(Function<G, Mono<F>>) - Method in interface org.nasdanika.ai.FittedPredictor

adaptFeatureAsync(Function<G, Mono<F>>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

adaptFeatureAsync(Function<G, Mono<F>>) - Method in interface org.nasdanika.ai.Predictor

adaptLabel(Function<L, M>) - Method in interface org.nasdanika.ai.FittedPredictor

adaptLabel(Function<L, M>) - Method in interface org.nasdanika.ai.Predictor

adaptLabel(Function<M, L>, Function<L, M>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

adaptLabelAsync(Function<L, Mono<M>>) - Method in interface org.nasdanika.ai.FittedPredictor

adaptLabelAsync(Function<L, Mono<M>>) - Method in interface org.nasdanika.ai.Predictor

adaptLabelAsync(Function<M, Mono<L>>, Function<L, Mono<M>>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

addComputer(SimilarityComputer<? super T, Float>, float) - Method in class org.nasdanika.ai.CompositeFloatSimilarityComputer

addImage(BufferedImage) - Method in interface org.nasdanika.ai.Chat.Message

addImage(File) - Method in interface org.nasdanika.ai.Chat.Message

addImage(InputStream) - Method in interface org.nasdanika.ai.Chat.Message

addImage(String) - Method in interface org.nasdanika.ai.Chat.Message

Adds an image encoded as base64 data URL

addImage(String) - Method in interface org.nasdanika.ai.Chat.ResponseMessage

addImage(URL) - Method in interface org.nasdanika.ai.Chat.Message

asFileEmbeddingGenerator() - Method in interface org.nasdanika.ai.ImageEmbeddingGenerator

asFileSimilarityComputer() - Method in interface org.nasdanika.ai.BufferedImageSimilarityComputer

asInputStreamEmbeddingGenerator() - Method in interface org.nasdanika.ai.ImageEmbeddingGenerator

asInputStreamSimilarityComputer() - Method in interface org.nasdanika.ai.BufferedImageSimilarityComputer

assistant - Enum constant in enum class org.nasdanika.ai.Chat.Role

asUrlEmbeddingGenerator() - Method in interface org.nasdanika.ai.ImageEmbeddingGenerator

asUrlSimilarityComputer() - Method in interface org.nasdanika.ai.BufferedImageSimilarityComputer

B

BagOfWordsGenerator - Class in org.nasdanika.ai

Splits input by whitespace, lowercases and then computes frequency of each word

BagOfWordsGenerator() - Constructor for class org.nasdanika.ai.BagOfWordsGenerator

BufferedImageSimilarityComputer<S> - Interface in org.nasdanika.ai

ByteArrayImageMetadataNarrator - Class in org.nasdanika.ai

ByteArrayImageMetadataNarrator() - Constructor for class org.nasdanika.ai.ByteArrayImageMetadataNarrator

C

cache - Variable in class org.nasdanika.ai.MapCachingEmbeddingGenerator

CachingEmbeddingGenerator<S,E,K> - Class in org.nasdanika.ai

Caches image embeddings in a map which can be loaded and saved between runs Uses image digest as caching key

CachingEmbeddingGenerator(EmbeddingGenerator<S, E>) - Constructor for class org.nasdanika.ai.CachingEmbeddingGenerator

CachingImageEmbeddingGenerator<E> - Class in org.nasdanika.ai

Caches image embeddings in a map which can be loaded and saved between runs Uses image digest as caching key

CachingImageEmbeddingGenerator(ImageEmbeddingGenerator<E>, Map<String, E>) - Constructor for class org.nasdanika.ai.CachingImageEmbeddingGenerator

Uses SHA-512 algorithm

CachingImageEmbeddingGenerator(ImageEmbeddingGenerator<E>, Map<String, E>, String) - Constructor for class org.nasdanika.ai.CachingImageEmbeddingGenerator

CachingImageNarrator - Class in org.nasdanika.ai

CachingImageNarrator(ImageEmbeddingGenerator<String>, Map<String, String>) - Constructor for class org.nasdanika.ai.CachingImageNarrator

CachingImageNarrator(ImageEmbeddingGenerator<String>, Map<String, String>, String) - Constructor for class org.nasdanika.ai.CachingImageNarrator

CachingTextEmbeddingGenerator<E> - Class in org.nasdanika.ai

Caches text embeddings in a map which can be loaded and saved between runs Uses text digest as caching key

CachingTextEmbeddingGenerator(TextEmbeddingGenerator<E>, Map<String, E>) - Constructor for class org.nasdanika.ai.CachingTextEmbeddingGenerator

Uses SHA-512 algorithm

CachingTextEmbeddingGenerator(TextEmbeddingGenerator<E>, Map<String, E>, String) - Constructor for class org.nasdanika.ai.CachingTextEmbeddingGenerator

chat(List<Chat.Message>) - Method in interface org.nasdanika.ai.Chat

chat(Chat.Message...) - Method in interface org.nasdanika.ai.Chat

Chat - Interface in org.nasdanika.ai

Chat.Message - Interface in org.nasdanika.ai

Chat.Requirement - Record Class in org.nasdanika.ai

Chat requirement.

Chat.ResponseMessage - Interface in org.nasdanika.ai

Chat.Role - Enum Class in org.nasdanika.ai

chatAsync(List<Chat.Message>) - Method in interface org.nasdanika.ai.Chat

chatAsync(Chat.Message...) - Method in interface org.nasdanika.ai.Chat

ChatImageNarrator - Class in org.nasdanika.ai

ChatImageNarrator(Chat) - Constructor for class org.nasdanika.ai.ChatImageNarrator

ChatImageNarrator(Chat, String) - Constructor for class org.nasdanika.ai.ChatImageNarrator

chunk(String) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

compareTo(SearchResult<D>) - Method in interface org.nasdanika.ai.SearchResult

compose(EmbeddingGenerator<? super S, ? extends E>, BinaryOperator<E>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

Calls this embedding generator and returns its return value if it is not null and composer is null.

compose(EmbeddingGenerator<S, E>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

compose(EmbeddingGenerator<S, E>, EmbeddingGenerator<S, E>, BinaryOperator<E>) - Static method in interface org.nasdanika.ai.EmbeddingGenerator

compose(FittedPredictor.Fitter<double[], double[], Double>) - Method in class org.nasdanika.ai.AbstractDoubleFitter

compose(FittedPredictor.Fitter<F, L, E>, BinaryOperator<L>, BinaryOperator<L>, FittedPredictor.ErrorComputer<F, L, E>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

Composes two predictors by fitting this one, then computing label difference between this predictor predictions and labels and fitting the next one with the difference.

composeAsync(EmbeddingGenerator<? super S, ? extends E>, BiFunction<? super E, ? super E, Mono<E>>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

Calls this embedding generator and returns its return value if it is not null and composer is null.

CompositeFloatSimilarityComputer<T> - Class in org.nasdanika.ai

CompositeFloatSimilarityComputer() - Constructor for class org.nasdanika.ai.CompositeFloatSimilarityComputer

compute(T, T) - Method in interface org.nasdanika.ai.SimilarityComputer

computeAsync(Mono<T>, Mono<T>) - Method in interface org.nasdanika.ai.SimilarityComputer

computeAsync(T, T) - Method in class org.nasdanika.ai.CompositeFloatSimilarityComputer

computeAsync(T, T) - Method in interface org.nasdanika.ai.SimilarityComputer

computeError(Function<double[][], double[][]>, double[][], double[][]) - Static method in class org.nasdanika.ai.AbstractDoubleFitter

computeError(Predictor<F, L>, Collection<S>, Function<S, F>, Function<S, L>) - Method in interface org.nasdanika.ai.FittedPredictor.ErrorComputer

computeKey(BufferedImage) - Method in class org.nasdanika.ai.CachingImageEmbeddingGenerator

computeKey(String) - Method in class org.nasdanika.ai.CachingTextEmbeddingGenerator

computeKey(S) - Method in class org.nasdanika.ai.CachingEmbeddingGenerator

Computes caching key from source.

computeKey(S) - Method in class org.nasdanika.ai.MapCachingEmbeddingGenerator

Computes caching key from source.

computers - Variable in class org.nasdanika.ai.CompositeFloatSimilarityComputer

Coordinates - Interface in org.nasdanika.ai

Model coordinates (identifier)

COSINE_SIMILARITY_COMPUTER - Static variable in interface org.nasdanika.ai.FloatVectorSimilarityComputer

Calculates the cosine similarity.

create(String, String) - Static method in interface org.nasdanika.ai.Chat.Message

Creates a message

create(EmbeddingGenerator<S, E>, Map<K, E>, Function<S, K>) - Static method in class org.nasdanika.ai.MapCachingEmbeddingGenerator

Creates an instance which uses the provided key computer.

createMessage(String) - Method in enum class org.nasdanika.ai.Chat.Role

createPredictor(Function<double[][], double[][]>, double[][], double[][]) - Method in class org.nasdanika.ai.AbstractDoubleFitter

createRequirement(String, String, String) - Static method in interface org.nasdanika.ai.ImageFloatVectorEmbeddingModel

Creates ImageFloatVectorEmbeddingModel requirement.

createRequirement(String, String, String) - Static method in interface org.nasdanika.ai.TextFloatVectorEmbeddingModel

Creates TextFloatVectorEmbeddingModel requirement.

D

decode(char[]) - Method in class org.nasdanika.ai.TextFloatVectorCharChunkingEmbeddings

decode(IntArrayList) - Method in class org.nasdanika.ai.TextFloatVectorEncodingChunkingEmbeddingModel

decode(T) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

Decodes a string from an array of tokens

developer - Enum constant in enum class org.nasdanika.ai.Chat.Role

dimensions() - Method in record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Returns the value of the dimensions record component.

E

ECHO - Static variable in interface org.nasdanika.ai.Chat

EmbeddingGenerator<S,E> - Interface in org.nasdanika.ai

Generates an embedding from source.

EmbeddingGenerator.Requirement - Record Class in org.nasdanika.ai

EmbeddingGenerator requirement.

EmbeddingModel<S,E> - Interface in org.nasdanika.ai

EmbeddingsItem(SimilaritySearch.IndexId, float[], int) - Constructor for record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Creates an instance of a EmbeddingsItem record class.

embeddingType() - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Returns the value of the embeddingType record component.

encode(String) - Method in class org.nasdanika.ai.TextFloatVectorCharChunkingEmbeddings

encode(String) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

Encodes a string into tokens

encode(String) - Method in class org.nasdanika.ai.TextFloatVectorEncodingChunkingEmbeddingModel

equals(Object) - Method in record class org.nasdanika.ai.Chat.Requirement

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in record class org.nasdanika.ai.Predictor.Sample

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Indicates whether some other object is "equal to" this one.

equals(Object) - Method in record class org.nasdanika.ai.SimilaritySearch.IndexId

Indicates whether some other object is "equal to" this one.

F

feature() - Method in record class org.nasdanika.ai.Predictor.Sample

Returns the value of the feature record component.

FileImageMetadataNarrator - Class in org.nasdanika.ai

FileImageMetadataNarrator() - Constructor for class org.nasdanika.ai.FileImageMetadataNarrator

find(T, int) - Method in interface org.nasdanika.ai.SimilaritySearch

Finds items closest to the query

findAsync(T, int) - Method in interface org.nasdanika.ai.SimilaritySearch

Finds items closest to the query

fit(double[][], double[]) - Method in class org.nasdanika.ai.AbstractMapReduceDoubleFitter

fit(double[][], double[]) - Method in class org.nasdanika.ai.AbstractRecursiveDoubleFitter

fit(double[][], double[][]) - Method in class org.nasdanika.ai.AbstractDoubleFitter

fit(double[][], double[][]) - Method in class org.nasdanika.ai.AbstractMapReduceDoubleFitter

fit(double[][], double[][]) - Method in class org.nasdanika.ai.AbstractRecursiveDoubleFitter

fit(Collection<S>, Function<S, double[]>, Function<S, double[]>) - Method in class org.nasdanika.ai.AbstractDoubleFitter

fit(Collection<S>, Function<S, F>, Function<S, L>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

Creates a predictor by fitting a collection of samples.

fitAsync(Flux<S>, Function<S, Mono<double[]>>, Function<S, Mono<double[]>>) - Method in class org.nasdanika.ai.AbstractDoubleFitter

fitAsync(Flux<S>, Function<S, Mono<F>>, Function<S, Mono<L>>) - Method in interface org.nasdanika.ai.FittedPredictor.Fitter

Creates a predictor by fitting a flux of samples.

FittedPredictor<F,L,E> - Interface in org.nasdanika.ai

A predictor which is fitted (trained)

FittedPredictor.ErrorComputer<F,L,E> - Interface in org.nasdanika.ai

FittedPredictor.Fitter<F,L,E> - Interface in org.nasdanika.ai

FloatVectorEmbeddingGenerator<S> - Interface in org.nasdanika.ai

FloatVectorSimilarityComputer - Interface in org.nasdanika.ai

from(Index<SimilaritySearch.IndexId, float[], SimilaritySearch.EmbeddingsItem, Float>) - Static method in interface org.nasdanika.ai.SimilaritySearch

from(Index<SimilaritySearch.IndexId, float[], SimilaritySearch.EmbeddingsItem, Float>, Function<float[], float[]>) - Static method in interface org.nasdanika.ai.SimilaritySearch

function - Enum constant in enum class org.nasdanika.ai.Chat.Role

G

generate(BufferedImage) - Method in class org.nasdanika.ai.ChatImageNarrator

generate(String) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

generate(Collection<S>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

Batch generation

generate(S) - Method in interface org.nasdanika.ai.EmbeddingGenerator

generate(S) - Method in class org.nasdanika.ai.ImageMetadataNarrator

generate(S) - Method in class org.nasdanika.ai.MapCachingEmbeddingGenerator

generateAsync(BufferedImage) - Method in class org.nasdanika.ai.ChatImageNarrator

generateAsync(String) - Method in class org.nasdanika.ai.BagOfWordsGenerator

generateAsync(String) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

generateAsync(Collection<S>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

Asynchronous batch generation

generateAsync(S) - Method in class org.nasdanika.ai.CachingEmbeddingGenerator

generateAsync(S) - Method in interface org.nasdanika.ai.EmbeddingGenerator

generateAsync(S) - Method in class org.nasdanika.ai.ImageMetadataNarrator

get(K) - Method in class org.nasdanika.ai.CachingEmbeddingGenerator

get(K) - Method in class org.nasdanika.ai.MapCachingEmbeddingGenerator

getCharset() - Method in class org.nasdanika.ai.CachingTextEmbeddingGenerator

getContent() - Method in interface org.nasdanika.ai.Chat.Message

getContents() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResource

getContents() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResourceContents

getDescriptionKeyword() - Method in class org.nasdanika.ai.ImageMetadataNarrator

getDimensions() - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

getDimensions() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResourceContents

getDimensions() - Method in interface org.nasdanika.ai.VectorEmbeddingGenerator

getDistance() - Method in interface org.nasdanika.ai.SearchResult

Distance from the query vector

getEmbeddings() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResourceContents

getError() - Method in interface org.nasdanika.ai.FittedPredictor

getFinishReason() - Method in interface org.nasdanika.ai.Chat.ResponseMessage

getImageMetadata(byte[]) - Method in class org.nasdanika.ai.ByteArrayImageMetadataNarrator

getImageMetadata(File) - Method in class org.nasdanika.ai.FileImageMetadataNarrator

getImageMetadata(URL) - Method in class org.nasdanika.ai.UrlImageMetadataNarrator

getImageMetadata(URI) - Method in class org.nasdanika.ai.UriImageMetadataNarrator

getImageMetadata(S) - Method in class org.nasdanika.ai.ImageMetadataNarrator

getImages() - Method in interface org.nasdanika.ai.Chat.Message

Images encoded as base64 url

getImages() - Method in interface org.nasdanika.ai.Chat.ResponseMessage

getIndex() - Method in interface org.nasdanika.ai.SearchResult

Embedding position

getMaxInputTokens() - Method in interface org.nasdanika.ai.Model

getMaxInputTokens() - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

getMaxOutputTokens() - Method in interface org.nasdanika.ai.Chat

getMimeType() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResource

getMimeType() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResourceContents

getName() - Method in interface org.nasdanika.ai.Coordinates

Model name

getName() - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

getProvider() - Method in interface org.nasdanika.ai.Coordinates

Provider name - OpenAI, Ollama, ...

getProvider() - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

getRefusal() - Method in interface org.nasdanika.ai.Chat.ResponseMessage

getRole() - Method in interface org.nasdanika.ai.Chat.Message

getUri() - Method in interface org.nasdanika.ai.SearchResult

Resource URI

getUri() - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingResourceContents

getVersion() - Method in interface org.nasdanika.ai.Coordinates

getVersion() - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

H

hashCode() - Method in record class org.nasdanika.ai.Chat.Requirement

Returns a hash code value for this object.

hashCode() - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Returns a hash code value for this object.

hashCode() - Method in record class org.nasdanika.ai.Predictor.Sample

Returns a hash code value for this object.

hashCode() - Method in record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Returns a hash code value for this object.

hashCode() - Method in record class org.nasdanika.ai.SimilaritySearch.IndexId

Returns a hash code value for this object.

I

id() - Method in record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Returns the value of the id record component.

ImageEmbeddingGenerator<E> - Interface in org.nasdanika.ai

ImageFloatVectorEmbeddingModel - Interface in org.nasdanika.ai

ImageMetadataNarrator<S> - Class in org.nasdanika.ai

ImageMetadataNarrator() - Constructor for class org.nasdanika.ai.ImageMetadataNarrator

ImageNarrator - Interface in org.nasdanika.ai

Converts image to text (String).

index() - Method in record class org.nasdanika.ai.SimilaritySearch.IndexId

Returns the value of the index record component.

IndexId(String, int) - Constructor for record class org.nasdanika.ai.SimilaritySearch.IndexId

Creates an instance of a IndexId record class.

isTooLong(String) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

isTooLong(String) - Method in interface org.nasdanika.ai.TextFloatVectorEmbeddingModel

L

label() - Method in record class org.nasdanika.ai.Predictor.Sample

Returns the value of the label record component.

LOREM_IPSUM - Static variable in interface org.nasdanika.ai.Chat

LOREM_IPSUM_TEXT - Static variable in interface org.nasdanika.ai.Chat

M

MapCachingEmbeddingGenerator<S,E,K> - Class in org.nasdanika.ai

Caches image embeddings in a map which can be loaded and saved between runs Uses image digest as caching key

MapCachingEmbeddingGenerator(EmbeddingGenerator<S, E>, Map<K, E>) - Constructor for class org.nasdanika.ai.MapCachingEmbeddingGenerator

model() - Method in record class org.nasdanika.ai.Chat.Requirement

Returns the value of the model record component.

Model - Interface in org.nasdanika.ai

Base interface for interfaces to work with (large language) models.

N

narrateMetadata(ImageMetadata) - Method in class org.nasdanika.ai.ImageMetadataNarrator

narrateMetadataAsync(ImageMetadata) - Method in class org.nasdanika.ai.ImageMetadataNarrator

Narrator<S> - Interface in org.nasdanika.ai

Converts source to text (String).

O

org.nasdanika.ai - module org.nasdanika.ai

org.nasdanika.ai - package org.nasdanika.ai

P

predicate() - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Returns the value of the predicate record component.

predict(F) - Method in interface org.nasdanika.ai.Predictor

predict(Collection<F>) - Method in interface org.nasdanika.ai.Predictor

Batch prediction

predictAsync(F) - Method in interface org.nasdanika.ai.Predictor

predictAsync(Flux<F>) - Method in interface org.nasdanika.ai.Predictor

Asynchronous batch generation

Predictor<F,L> - Interface in org.nasdanika.ai

Predicts output from input

Predictor.Sample<F,L> - Record Class in org.nasdanika.ai

provider() - Method in record class org.nasdanika.ai.Chat.Requirement

Returns the value of the provider record component.

put(K, E) - Method in class org.nasdanika.ai.CachingEmbeddingGenerator

put(K, E) - Method in class org.nasdanika.ai.MapCachingEmbeddingGenerator

R

reduce(Stream<EmbeddingGenerator<S, E>>, BinaryOperator<E>) - Static method in interface org.nasdanika.ai.EmbeddingGenerator

Requirement(Class<?>, Class<?>, Predicate<Class<? extends EmbeddingGenerator<?, ?>>>, Predicate<EmbeddingGenerator<?, ?>>) - Constructor for record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Creates an instance of a Requirement record class.

Requirement(String, String, String) - Constructor for record class org.nasdanika.ai.Chat.Requirement

Creates an instance of a Requirement record class.

S

Sample(F, L) - Constructor for record class org.nasdanika.ai.Predictor.Sample

Creates an instance of a Sample record class.

SearchResult<D> - Interface in org.nasdanika.ai

SimilarityComputer<T,S> - Interface in org.nasdanika.ai

Computes pair-wise similarity

SimilaritySearch<T,D> - Interface in org.nasdanika.ai

SimilaritySearch.EmbeddingsItem - Record Class in org.nasdanika.ai

Vector index item

SimilaritySearch.IndexId - Record Class in org.nasdanika.ai

Index id - item URI and embedding vector index for URIs with multiple vectors/chunks.

size(char[]) - Method in class org.nasdanika.ai.TextFloatVectorCharChunkingEmbeddings

size(IntArrayList) - Method in class org.nasdanika.ai.TextFloatVectorEncodingChunkingEmbeddingModel

size(T) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

slice(char[], int, int) - Method in class org.nasdanika.ai.TextFloatVectorCharChunkingEmbeddings

slice(IntArrayList, int, int) - Method in class org.nasdanika.ai.TextFloatVectorEncodingChunkingEmbeddingModel

slice(T, int, int) - Method in class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

sourceType() - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Returns the value of the sourceType record component.

system - Enum constant in enum class org.nasdanika.ai.Chat.Role

T

target - Variable in class org.nasdanika.ai.CachingEmbeddingGenerator

TextEmbeddingGenerator<E> - Interface in org.nasdanika.ai

TextFloatVectorCharChunkingEmbeddings - Class in org.nasdanika.ai

A simple implementation which treats a character as a token.

TextFloatVectorCharChunkingEmbeddings(TextFloatVectorEmbeddingModel, int, int) - Constructor for class org.nasdanika.ai.TextFloatVectorCharChunkingEmbeddings

TextFloatVectorChunkingEmbeddingModel<T> - Class in org.nasdanika.ai

TextFloatVectorChunkingEmbeddingModel(TextFloatVectorEmbeddingModel, int, int) - Constructor for class org.nasdanika.ai.TextFloatVectorChunkingEmbeddingModel

TextFloatVectorEmbeddingModel - Interface in org.nasdanika.ai

TextFloatVectorEmbeddingModel "business" interface focusing on ease of use and leaving token usage reporting to implementations.

TextFloatVectorEmbeddingResource - Interface in org.nasdanika.ai

A collection of strings pre-computed embeddings, e.g. web site contents.

TextFloatVectorEmbeddingResourceContents - Interface in org.nasdanika.ai

A pre-computed embeddings

textFloatVectorEmbeddingSearch(SimilaritySearch<List<List<Float>>, D>, TextFloatVectorEmbeddingModel) - Static method in interface org.nasdanika.ai.SimilaritySearch

Computes embeddings and uses them for similarity search in a multi-vector search.

TextFloatVectorEncodingChunkingEmbeddingModel - Class in org.nasdanika.ai

TextFloatVectorEncodingChunkingEmbeddingModel(TextFloatVectorEmbeddingModel, int, int, Encoding) - Constructor for class org.nasdanika.ai.TextFloatVectorEncodingChunkingEmbeddingModel

TextFloatVectorEncodingChunkingEmbeddingModel(TextFloatVectorEmbeddingModel, int, int, EncodingType) - Constructor for class org.nasdanika.ai.TextFloatVectorEncodingChunkingEmbeddingModel

TextSimilarityComputer<S> - Interface in org.nasdanika.ai

then(EmbeddingGenerator<E, F>) - Method in interface org.nasdanika.ai.EmbeddingGenerator

tool - Enum constant in enum class org.nasdanika.ai.Chat.Role

toString() - Method in record class org.nasdanika.ai.Chat.Requirement

Returns a string representation of this record class.

toString() - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Returns a string representation of this record class.

toString() - Method in record class org.nasdanika.ai.Predictor.Sample

Returns a string representation of this record class.

toString() - Method in record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Returns a string representation of this record class.

toString() - Method in record class org.nasdanika.ai.SimilaritySearch.IndexId

Returns a string representation of this record class.

totalWeight - Variable in class org.nasdanika.ai.CompositeFloatSimilarityComputer

typePredicate() - Method in record class org.nasdanika.ai.EmbeddingGenerator.Requirement

Returns the value of the typePredicate record component.

U

uri() - Method in record class org.nasdanika.ai.SimilaritySearch.IndexId

Returns the value of the uri record component.

UriImageMetadataNarrator - Class in org.nasdanika.ai

Can handle data: URIs

UriImageMetadataNarrator() - Constructor for class org.nasdanika.ai.UriImageMetadataNarrator

UrlImageMetadataNarrator - Class in org.nasdanika.ai

UrlImageMetadataNarrator() - Constructor for class org.nasdanika.ai.UrlImageMetadataNarrator

user - Enum constant in enum class org.nasdanika.ai.Chat.Role

V

valueOf(String) - Static method in enum class org.nasdanika.ai.Chat.Role

Returns the enum constant of this class with the specified name.

values() - Static method in enum class org.nasdanika.ai.Chat.Role

Returns an array containing the constants of this enum class, in the order they are declared.

vector() - Method in record class org.nasdanika.ai.SimilaritySearch.EmbeddingsItem

Returns the value of the vector record component.

VectorEmbeddingGenerator<S,E> - Interface in org.nasdanika.ai

VectorSimilarityComputer<E,S> - Interface in org.nasdanika.ai

version() - Method in record class org.nasdanika.ai.Chat.Requirement

Returns the value of the version record component.

W

wrap(Function<double[], Double>) - Static method in class org.nasdanika.ai.AbstractDoubleFitter

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