Package org.springframework.ai.bedrock.cohere

Class BedrockCohereEmbeddingModel

java.lang.Object

org.springframework.ai.embedding.AbstractEmbeddingModel

org.springframework.ai.bedrock.cohere.BedrockCohereEmbeddingModel

All Implemented Interfaces:

EmbeddingModel, Model<EmbeddingRequest,EmbeddingResponse>

public class BedrockCohereEmbeddingModel
extends AbstractEmbeddingModel

EmbeddingModel implementation that uses the Bedrock Cohere Embedding API. Note: The invocation metrics are not exposed by AWS for this API. If this change in the future we will add it as metadata.

Since:

0.8.0

Author:

Christian Tzolov

Field Summary

Fields inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel

embeddingDimensions

Constructor Summary

Constructors

Constructor	Description
BedrockCohereEmbeddingModel(CohereEmbeddingBedrockApi cohereEmbeddingBedrockApi)
BedrockCohereEmbeddingModel(CohereEmbeddingBedrockApi cohereEmbeddingBedrockApi, BedrockCohereEmbeddingOptions options)

Method Summary

Modifier and Type	Method	Description
EmbeddingResponse	call(EmbeddingRequest request)	Executes a method call to the AI model.
float[]	embed(Document document)	Embeds the given document's content into a vector.

Methods inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel

dimensions, dimensions

Methods inherited from class java.lang.Object

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

Methods inherited from interface org.springframework.ai.embedding.EmbeddingModel

embed, embed, embed, embedForResponse

Constructor Details

BedrockCohereEmbeddingModel

public BedrockCohereEmbeddingModel(CohereEmbeddingBedrockApi cohereEmbeddingBedrockApi)

BedrockCohereEmbeddingModel

public BedrockCohereEmbeddingModel(CohereEmbeddingBedrockApi cohereEmbeddingBedrockApi,
 BedrockCohereEmbeddingOptions options)

Method Details

embed

public float[] embed(Document document)

Description copied from interface: EmbeddingModel

Embeds the given document's content into a vector.

Parameters:

document - the document to embed.

Returns:

the embedded vector.

call

public EmbeddingResponse call(EmbeddingRequest request)

Description copied from interface: Model

Executes a method call to the AI model.

Parameters:

request - the request object to be sent to the AI model

Returns:

the response from the AI model