Index

A B C D G H I M O Q R S V W
All Classes and Interfaces|All Packages

A

AdaptiveRag - Class in dev.langchain4j.adaptiverag

AdaptiveRag

AdaptiveRag(String, String) - Constructor for class dev.langchain4j.adaptiverag.AdaptiveRag

Constructor for the AdaptiveRag class.

AdaptiveRag.State - Class in dev.langchain4j.adaptiverag

Represents the state of our graph.

AnswerGrader - Class in dev.langchain4j.adaptiverag

Class to grade answers based on whether they address a given question.

AnswerGrader() - Constructor for class dev.langchain4j.adaptiverag.AnswerGrader

AnswerGrader.Arguments - Class in dev.langchain4j.adaptiverag

Represents the arguments for a structured prompt, encapsulating both a user's question and an LLM-generated response.

AnswerGrader.Score - Class in dev.langchain4j.adaptiverag

Binary score to assess answer addresses question.

apply(AnswerGrader.Arguments) - Method in class dev.langchain4j.adaptiverag.AnswerGrader

Applies the given arguments to generate a score using a language model.

apply(HallucinationGrader.Arguments) - Method in class dev.langchain4j.adaptiverag.HallucinationGrader

Applies the provided arguments to a chat language model and returns the score.

apply(RetrievalGrader.Arguments) - Method in class dev.langchain4j.adaptiverag.RetrievalGrader

Applies the provided arguments to generate a score using a chat language model.

apply(String) - Method in class dev.langchain4j.adaptiverag.QuestionRewriter

Applies a natural language processing pipeline to improve a given question.

apply(String) - Method in class dev.langchain4j.adaptiverag.QuestionRouter

Applies a given question to an AI model and extracts the data source from the response.

apply(String) - Method in class dev.langchain4j.adaptiverag.WebSearchTool

Applies the query to a search engine and retrieves up to 3 results.

apply(String, List<String>) - Method in class dev.langchain4j.adaptiverag.Generation

Apply a text-based query to an AI model and retrieve the model's response.

Arguments() - Constructor for class dev.langchain4j.adaptiverag.AnswerGrader.Arguments

Arguments() - Constructor for class dev.langchain4j.adaptiverag.HallucinationGrader.Arguments

Arguments() - Constructor for class dev.langchain4j.adaptiverag.RetrievalGrader.Arguments

B

binaryScore - Variable in class dev.langchain4j.adaptiverag.AnswerGrader.Score

binaryScore - Variable in class dev.langchain4j.adaptiverag.HallucinationGrader.Score

binaryScore - Variable in class dev.langchain4j.adaptiverag.RetrievalGrader.Score

buildGraph() - Method in class dev.langchain4j.adaptiverag.AdaptiveRag

C

ChromaStore - Class in dev.langchain4j.adaptiverag

The ChromaStore class provides a singleton interface for interacting with the Chroma Embedding Store.

D

dev.langchain4j.adaptiverag - package dev.langchain4j.adaptiverag

documents() - Method in class dev.langchain4j.adaptiverag.AdaptiveRag.State

G

generation() - Method in class dev.langchain4j.adaptiverag.AdaptiveRag.State

Generation - Class in dev.langchain4j.adaptiverag

This class provides a service for generating answers to questions using natural language processing.

Generation() - Constructor for class dev.langchain4j.adaptiverag.Generation

Generation.Service - Interface in dev.langchain4j.adaptiverag

Interface for service implementation that provides capabilities to answer questions based on given context.

H

HallucinationGrader - Class in dev.langchain4j.adaptiverag

Provides functionality to grade the groundedness of an LLM generation with respect to a set of facts.

HallucinationGrader() - Constructor for class dev.langchain4j.adaptiverag.HallucinationGrader

HallucinationGrader.Arguments - Class in dev.langchain4j.adaptiverag

Represents a set of facts and an associated LLM generation.

HallucinationGrader.Score - Class in dev.langchain4j.adaptiverag

Binary score for hallucination present in generation answer.

I

invoke(String, List<String>) - Method in interface dev.langchain4j.adaptiverag.Generation.Service

Retrieves and answers a question based on the provided context.

M

main(String[]) - Static method in class dev.langchain4j.adaptiverag.AdaptiveRag

O

of(String) - Static method in class dev.langchain4j.adaptiverag.ChromaStore

Creates a new instance of ChromaStore using the provided OpenAI API key.

Q

question() - Method in class dev.langchain4j.adaptiverag.AdaptiveRag.State

QuestionRewriter - Class in dev.langchain4j.adaptiverag

This class implements a Function to rewrite questions for better vectorstore retrieval.

QuestionRewriter() - Constructor for class dev.langchain4j.adaptiverag.QuestionRewriter

QuestionRouter - Class in dev.langchain4j.adaptiverag

Router for user queries to the most relevant datasource.

QuestionRouter() - Constructor for class dev.langchain4j.adaptiverag.QuestionRouter

QuestionRouter.Type - Enum Class in dev.langchain4j.adaptiverag

R

RetrievalGrader - Class in dev.langchain4j.adaptiverag

The RetrievalGrader class implements a function to assess the relevance of a retrieved document to a user's question.

RetrievalGrader() - Constructor for class dev.langchain4j.adaptiverag.RetrievalGrader

RetrievalGrader.Arguments - Class in dev.langchain4j.adaptiverag

Represents a structure for holding the arguments needed to process a user's query.

RetrievalGrader.Score - Class in dev.langchain4j.adaptiverag

A static class that represents a score in a binary format.

S

Score() - Constructor for class dev.langchain4j.adaptiverag.AnswerGrader.Score

Score() - Constructor for class dev.langchain4j.adaptiverag.HallucinationGrader.Score

Score() - Constructor for class dev.langchain4j.adaptiverag.RetrievalGrader.Score

search(String) - Method in class dev.langchain4j.adaptiverag.ChromaStore

Searches for text segments in the embedding index that match a given query.

State(Map<String, Object>) - Constructor for class dev.langchain4j.adaptiverag.AdaptiveRag.State

V

valueOf(String) - Static method in enum class dev.langchain4j.adaptiverag.QuestionRouter.Type

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

values() - Static method in enum class dev.langchain4j.adaptiverag.QuestionRouter.Type

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

vectorstore - Enum constant in enum class dev.langchain4j.adaptiverag.QuestionRouter.Type

W

web_search - Enum constant in enum class dev.langchain4j.adaptiverag.QuestionRouter.Type

WebSearchTool - Class in dev.langchain4j.adaptiverag

The `WebSearchTool` class provides a solution for performing web searches based on user queries.

WebSearchTool() - Constructor for class dev.langchain4j.adaptiverag.WebSearchTool

A B C D G H I M O Q R S V W
All Classes and Interfaces|All Packages