Package org.springframework.ai.openai

Class OpenAiEmbeddingClient

java.lang.Object

org.springframework.ai.embedding.AbstractEmbeddingClient

org.springframework.ai.openai.OpenAiEmbeddingClient

All Implemented Interfaces:

EmbeddingClient, ModelClient<EmbeddingRequest,EmbeddingResponse>

public class OpenAiEmbeddingClient
extends AbstractEmbeddingClient

Open AI Embedding Client implementation.

Author:

Christian Tzolov

Field Summary

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

embeddingDimensions

Constructor Summary

Constructors

Constructor	Description
OpenAiEmbeddingClient(OpenAiApi openAiApi)
OpenAiEmbeddingClient(OpenAiApi openAiApi, MetadataMode metadataMode)
OpenAiEmbeddingClient(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate)

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

OpenAiEmbeddingClient

public OpenAiEmbeddingClient(OpenAiApi openAiApi)

OpenAiEmbeddingClient

public OpenAiEmbeddingClient(OpenAiApi openAiApi,
 MetadataMode metadataMode)

OpenAiEmbeddingClient

public OpenAiEmbeddingClient(OpenAiApi openAiApi,
 MetadataMode metadataMode,
 OpenAiEmbeddingOptions options,
 org.springframework.retry.support.RetryTemplate retryTemplate)

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