Class E5SmallV2QuantizedEmbeddingModel

java.lang.Object

dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

dev.langchain4j.model.embedding.onnx.AbstractInProcessEmbeddingModel

dev.langchain4j.model.embedding.onnx.e5smallv2q.E5SmallV2QuantizedEmbeddingModel

All Implemented Interfaces:

EmbeddingModel

public class E5SmallV2QuantizedEmbeddingModel
extends AbstractInProcessEmbeddingModel

Quantized Microsoft E5-small-v2 embedding model that runs within your Java application's process.

Maximum length of text (in tokens) that can be embedded at once: unlimited. However, while you can embed very long texts, the quality of the embedding degrades as the text lengthens. It is recommended to embed segments of no more than 512 tokens long.

Embedding dimensions: 384

It is recommended to use the "query:" prefix for queries and the "passage:" prefix for segments.

Uses an Executor to parallelize the embedding process. By default, uses a cached thread pool with the number of threads equal to the number of available processors. Threads are cached for 1 second.

More details here

Field Summary

Fields inherited from class DimensionAwareEmbeddingModel

dimension

Constructor Summary

Constructors

Constructor	Description
E5SmallV2QuantizedEmbeddingModel()	Creates an instance of an E5SmallV2QuantizedEmbeddingModel.
E5SmallV2QuantizedEmbeddingModel(Executor executor)	Creates an instance of an E5SmallV2QuantizedEmbeddingModel.

Method Summary

Modifier and Type	Method	Description
protected Integer	knownDimension()	When known (e.g., can be derived from the model name), returns the dimension of the Embedding produced by this embedding model.
protected OnnxBertBiEncoder	model()

Methods inherited from class AbstractInProcessEmbeddingModel

embedAll, loadFromJar

Methods inherited from class DimensionAwareEmbeddingModel

dimension

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

E5SmallV2QuantizedEmbeddingModel

public E5SmallV2QuantizedEmbeddingModel()

Creates an instance of an E5SmallV2QuantizedEmbeddingModel. Uses a cached thread pool with the number of threads equal to the number of available processors. Threads are cached for 1 second.

E5SmallV2QuantizedEmbeddingModel

public E5SmallV2QuantizedEmbeddingModel(Executor executor)

Creates an instance of an E5SmallV2QuantizedEmbeddingModel.

Parameters:

executor - The executor to use to parallelize the embedding process.

Method Details

model

protected OnnxBertBiEncoder model()

Specified by:

model in class AbstractInProcessEmbeddingModel

knownDimension

protected Integer knownDimension()

Description copied from class: DimensionAwareEmbeddingModel

When known (e.g., can be derived from the model name), returns the dimension of the Embedding produced by this embedding model. Otherwise, it returns null.

Overrides:

knownDimension in class DimensionAwareEmbeddingModel

Returns:

the known dimension of the Embedding, or null if unknown.