Package org.springframework.ai.bedrock.cohere

Class BedrockCohereEmbeddingClient

java.lang.Object

org.springframework.ai.embedding.AbstractEmbeddingClient

org.springframework.ai.bedrock.cohere.BedrockCohereEmbeddingClient

All Implemented Interfaces:

EmbeddingClient, ModelClient<EmbeddingRequest,EmbeddingResponse>

public class BedrockCohereEmbeddingClient
extends AbstractEmbeddingClient

EmbeddingClient 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.AbstractEmbeddingClient

embeddingDimensions

Constructor Summary

Constructors

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

Method Summary

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

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

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.EmbeddingClient

embed, embed, embedForResponse

Constructor Details

BedrockCohereEmbeddingClient

public BedrockCohereEmbeddingClient(CohereEmbeddingBedrockApi cohereEmbeddingBedrockApi)

BedrockCohereEmbeddingClient

public BedrockCohereEmbeddingClient(CohereEmbeddingBedrockApi cohereEmbeddingBedrockApi,
 BedrockCohereEmbeddingOptions options)

Method Details

embed

public List<Double> embed(Document document)

Description copied from interface: EmbeddingClient

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: ModelClient

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