Class AbstractInProcessEmbeddingModel

java.lang.Object

dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

dev.langchain4j.model.embedding.onnx.AbstractInProcessEmbeddingModel

All Implemented Interfaces:

EmbeddingModel

Direct Known Subclasses:

AllMiniLmL6V2EmbeddingModel, AllMiniLmL6V2QuantizedEmbeddingModel, BgeSmallEnEmbeddingModel, BgeSmallEnQuantizedEmbeddingModel, BgeSmallEnV15EmbeddingModel, BgeSmallEnV15QuantizedEmbeddingModel, BgeSmallZhV15EmbeddingModel, BgeSmallZhV15QuantizedEmbeddingModel, E5SmallV2EmbeddingModel, E5SmallV2QuantizedEmbeddingModel, OnnxEmbeddingModel

public abstract class AbstractInProcessEmbeddingModel
extends DimensionAwareEmbeddingModel

Field Summary

Fields inherited from class DimensionAwareEmbeddingModel

dimension

Constructor Summary

Constructors

Modifier	Constructor	Description
protected	AbstractInProcessEmbeddingModel(Executor executor)

Method Summary

Modifier and Type	Method	Description
Response<List<Embedding>>	embedAll(List<TextSegment> segments)	Embeds the text content of a list of TextSegments.
protected static OnnxBertBiEncoder	loadFromJar(String modelFileName, String tokenizerFileName, PoolingMode poolingMode)
protected abstract OnnxBertBiEncoder	model()

Methods inherited from class DimensionAwareEmbeddingModel

dimension, knownDimension

Methods inherited from class Object

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

Methods inherited from interface EmbeddingModel

embed, embed, modelName

Constructor Details

AbstractInProcessEmbeddingModel

protected AbstractInProcessEmbeddingModel(Executor executor)

Method Details

loadFromJar

protected static OnnxBertBiEncoder loadFromJar(String modelFileName,
 String tokenizerFileName,
 PoolingMode poolingMode)

model

protected abstract OnnxBertBiEncoder model()

embedAll

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

Description copied from interface: EmbeddingModel

Embeds the text content of a list of TextSegments.

Parameters:

segments - the text segments to embed.

Returns:

the embeddings.