Index

A B C D E F G H I M Q R S T V
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form

A

AbstractAzureAiSearchEmbeddingStore - Class in dev.langchain4j.store.embedding.azure.search

AbstractAzureAiSearchEmbeddingStore() - Constructor for class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

add(Document) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add Document to the full text search engine.

add(Embedding) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add an embedding to the store.

add(Embedding, TextSegment) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add an embedding and the related content to the store.

add(TextSegment) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add TextSegment to the full text search engine.

add(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add content to the full text search engine.

add(String, Embedding) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add an embedding to the store.

add(List<TextSegment>) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

Add a list of TextSegments to the full text search engine.

addAll(List<Embedding>) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add a list of embeddings to the store.

addAll(List<Embedding>, List<TextSegment>) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Add a list of embeddings, and the list of related content, to the store.

apiKey(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the Azure AI Search API key.

apiKey(String) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

Sets the Azure AI Search API key.

Attribute() - Constructor for class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute

AzureAiSearchContentRetriever - Class in dev.langchain4j.rag.content.retriever.azure.search

Represents Azure AI Search Service as a ContentRetriever.

AzureAiSearchContentRetriever(String, AzureKeyCredential, TokenCredential, boolean, int, SearchIndex, String, EmbeddingModel, int, double, AzureAiSearchQueryType) - Constructor for class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

AzureAiSearchContentRetriever.Builder - Class in dev.langchain4j.rag.content.retriever.azure.search

AzureAiSearchEmbeddingStore - Class in dev.langchain4j.store.embedding.azure.search

Azure AI Search EmbeddingStore Implementation

AzureAiSearchEmbeddingStore(String, AzureKeyCredential, boolean, int, String) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore(String, AzureKeyCredential, boolean, SearchIndex, String) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore(String, TokenCredential, boolean, int, String) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore(String, TokenCredential, boolean, SearchIndex, String) - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

AzureAiSearchEmbeddingStore.Builder - Class in dev.langchain4j.store.embedding.azure.search

AzureAiSearchQueryType - Enum in dev.langchain4j.rag.content.retriever.azure.search

AzureAiSearchRuntimeException - Exception Class in dev.langchain4j.store.embedding.azure.search

AzureAiSearchRuntimeException() - Constructor for exception class dev.langchain4j.store.embedding.azure.search.AzureAiSearchRuntimeException

AzureAiSearchRuntimeException(String) - Constructor for exception class dev.langchain4j.store.embedding.azure.search.AzureAiSearchRuntimeException

AzureAiSearchRuntimeException(String, Throwable) - Constructor for exception class dev.langchain4j.store.embedding.azure.search.AzureAiSearchRuntimeException

B

build() - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

build() - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

builder() - Static method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

builder() - Static method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore

Builder() - Constructor for class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Builder() - Constructor for class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

C

createOrUpdateIndex(boolean) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Whether to create or update the search index.

createOrUpdateIndex(boolean) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

Whether to create or update the search index.

createOrUpdateIndex(int) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Creates or updates the index using a ready-made index.

D

DEFAULT_FIELD_CONTENT - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

DEFAULT_FIELD_CONTENT_VECTOR - Variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

DEFAULT_FIELD_METADATA - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

DEFAULT_FIELD_METADATA_ATTRS - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

DEFAULT_FIELD_METADATA_SOURCE - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

DEFAULT_INDEX_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

deleteIndex() - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

dev.langchain4j.rag.content.retriever.azure.search - package dev.langchain4j.rag.content.retriever.azure.search

dev.langchain4j.store.embedding.azure.search - package dev.langchain4j.store.embedding.azure.search

dimensions(int) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

If using the ready-made index, sets the number of dimensions of the embeddings.

dimensions(int) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

If using the ready-made index, sets the number of dimensions of the embeddings.

Document - Class in dev.langchain4j.store.embedding.azure.search

Document() - Constructor for class dev.langchain4j.store.embedding.azure.search.Document

Document.Metadata - Class in dev.langchain4j.store.embedding.azure.search

Document.Metadata.Attribute - Class in dev.langchain4j.store.embedding.azure.search

E

embeddingModel(EmbeddingModel) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the Embedding Model.

endpoint(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the Azure AI Search endpoint.

endpoint(String) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

Sets the Azure AI Search endpoint.

F

findRelevant(Embedding, int, double) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

fromAzureScoreToRelevanceScore(double) - Static method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

Calculates LangChain4j's RelevanceScore from Azure AI Search's score.

FULL_TEXT - Enum constant in enum dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType

Uses the full text search to find the most similar TextSegments.

G

getAttributes() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata

getContent() - Method in class dev.langchain4j.store.embedding.azure.search.Document

getContentVector() - Method in class dev.langchain4j.store.embedding.azure.search.Document

getId() - Method in class dev.langchain4j.store.embedding.azure.search.Document

getKey() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute

getMetadata() - Method in class dev.langchain4j.store.embedding.azure.search.Document

getSource() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata

getValue() - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute

H

HYBRID - Enum constant in enum dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType

Uses the hybrid search (vector + full text) to find the most similar TextSegments.

HYBRID_WITH_RERANKING - Enum constant in enum dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType

Uses the hybrid search (vector + full text) to find the most similar TextSegments, and uses the semantic re-ranker algorithm to rank the results.

I

index(SearchIndex) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

If using a custom index, sets the index to be used.

index(SearchIndex) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

If using a custom index, sets the index to be used.

indexName(String) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

If no index is provided, set the name of the default index to be used.

indexName(String) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

If no index is provided, set the name of the default index to be used.

initialize(String, AzureKeyCredential, TokenCredential, boolean, int, SearchIndex, String) - Method in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

M

maxResults(int) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the maximum number of Contents to retrieve.

Metadata() - Constructor for class dev.langchain4j.store.embedding.azure.search.Document.Metadata

minScore(double) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the minimum relevance score for the returned Contents.

Q

queryType(AzureAiSearchQueryType) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Sets the Azure AI Search Query Type.

R

retrieve(Query) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever

S

searchClient - Variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

SEMANTIC_SEARCH_CONFIG_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

setAttributes(Collection<Document.Metadata.Attribute>) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata

setContent(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document

setContentVector(Collection<Float>) - Method in class dev.langchain4j.store.embedding.azure.search.Document

setId(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document

setKey(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute

setMetadata(Document.Metadata) - Method in class dev.langchain4j.store.embedding.azure.search.Document

setSource(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata

setValue(String) - Method in class dev.langchain4j.store.embedding.azure.search.Document.Metadata.Attribute

T

tokenCredential(TokenCredential) - Method in class dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchContentRetriever.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

tokenCredential(TokenCredential) - Method in class dev.langchain4j.store.embedding.azure.search.AzureAiSearchEmbeddingStore.Builder

Used to authenticate to Azure OpenAI with Azure Active Directory credentials.

V

valueOf(String) - Static method in enum dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType

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

values() - Static method in enum dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType

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

VECTOR - Enum constant in enum dev.langchain4j.rag.content.retriever.azure.search.AzureAiSearchQueryType

Uses the vector search algorithm to find the most similar TextSegments.

VECTOR_ALGORITHM_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

VECTOR_SEARCH_PROFILE_NAME - Static variable in class dev.langchain4j.store.embedding.azure.search.AbstractAzureAiSearchEmbeddingStore

A B C D E F G H I M Q R S T V
All Classes and Interfaces|All Packages|Constant Field Values|Serialized Form