Index (Nasdanika AI Core 2025.7.0 API)

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

A

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
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

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
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
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
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

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.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

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

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

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.
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

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

SearchResult<D extends Comparable<D>> - Interface in org.nasdanika.ai
SimilarityComputer<T,S> - Interface in org.nasdanika.ai: Computes pair-wise similarity
SimilaritySearch<T,D extends Comparable<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.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.
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.

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