Package dev.langchain4j.model.nomic

Class NomicEmbeddingModel

java.lang.Object

dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

dev.langchain4j.model.nomic.NomicEmbeddingModel

All Implemented Interfaces:

EmbeddingModel

public class NomicEmbeddingModel
extends DimensionAwareEmbeddingModel

An integration with Nomic Atlas's Text Embeddings API. See more details here.

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	NomicEmbeddingModel.NomicEmbeddingModelBuilder

Field Summary

Fields inherited from class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

dimension

Constructor Summary

Constructors

Constructor	Description
NomicEmbeddingModel(String baseUrl, String apiKey, String modelName, String taskType, Integer maxSegmentsPerBatch, Duration timeout, Integer maxRetries, Boolean logRequests, Boolean logResponses)

Method Summary

Modifier and Type	Method	Description
static NomicEmbeddingModel.NomicEmbeddingModelBuilder	builder()
Response<List<Embedding>>	embedAll(List<TextSegment> textSegments)	Embeds the text content of a list of TextSegments.

Methods inherited from class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

dimension, knownDimension

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface dev.langchain4j.model.embedding.EmbeddingModel

embed, embed

Constructor Details

NomicEmbeddingModel

public NomicEmbeddingModel(String baseUrl,
 String apiKey,
 String modelName,
 String taskType,
 Integer maxSegmentsPerBatch,
 Duration timeout,
 Integer maxRetries,
 Boolean logRequests,
 Boolean logResponses)

Method Details

builder

public static NomicEmbeddingModel.NomicEmbeddingModelBuilder builder()

embedAll

public Response<List<Embedding>> embedAll(List<TextSegment> textSegments)

Description copied from interface: EmbeddingModel

Embeds the text content of a list of TextSegments.

Parameters:

textSegments - the text segments to embed.

Returns:

the embeddings.