Package org.springframework.ai.openai
Class OpenAiEmbeddingModel
java.lang.Object
org.springframework.ai.embedding.AbstractEmbeddingModel
org.springframework.ai.openai.OpenAiEmbeddingModel
- All Implemented Interfaces:
EmbeddingModel
,Model<EmbeddingRequest,
EmbeddingResponse>
Open AI Embedding Model implementation.
- Author:
- Christian Tzolov, Thomas Vitale
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Field Summary
Fields inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel
embeddingDimensions
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Constructor Summary
ConstructorDescriptionOpenAiEmbeddingModel
(OpenAiApi openAiApi) Constructor for the OpenAiEmbeddingModel class.OpenAiEmbeddingModel
(OpenAiApi openAiApi, MetadataMode metadataMode) Initializes a new instance of the OpenAiEmbeddingModel class.OpenAiEmbeddingModel
(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions openAiEmbeddingOptions) Initializes a new instance of the OpenAiEmbeddingModel class.OpenAiEmbeddingModel
(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate) Initializes a new instance of the OpenAiEmbeddingModel class.OpenAiEmbeddingModel
(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate, io.micrometer.observation.ObservationRegistry observationRegistry) Initializes a new instance of the OpenAiEmbeddingModel class. -
Method Summary
Modifier and TypeMethodDescriptioncall
(EmbeddingRequest request) Executes a method call to the AI model.float[]
Embeds the given document's content into a vector.void
setObservationConvention
(EmbeddingModelObservationConvention observationConvention) Use the provided convention for reporting observation dataMethods 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
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Constructor Details
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OpenAiEmbeddingModel
Constructor for the OpenAiEmbeddingModel class.- Parameters:
openAiApi
- The OpenAiApi instance to use for making API requests.
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OpenAiEmbeddingModel
Initializes a new instance of the OpenAiEmbeddingModel class.- Parameters:
openAiApi
- The OpenAiApi instance to use for making API requests.metadataMode
- The mode for generating metadata.
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OpenAiEmbeddingModel
public OpenAiEmbeddingModel(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions openAiEmbeddingOptions) Initializes a new instance of the OpenAiEmbeddingModel class.- Parameters:
openAiApi
- The OpenAiApi instance to use for making API requests.metadataMode
- The mode for generating metadata.openAiEmbeddingOptions
- The options for OpenAi embedding.
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OpenAiEmbeddingModel
public OpenAiEmbeddingModel(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate) Initializes a new instance of the OpenAiEmbeddingModel class.- Parameters:
openAiApi
- - The OpenAiApi instance to use for making API requests.metadataMode
- - The mode for generating metadata.options
- - The options for OpenAI embedding.retryTemplate
- - The RetryTemplate for retrying failed API requests.
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OpenAiEmbeddingModel
public OpenAiEmbeddingModel(OpenAiApi openAiApi, MetadataMode metadataMode, OpenAiEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate, io.micrometer.observation.ObservationRegistry observationRegistry) Initializes a new instance of the OpenAiEmbeddingModel class.- Parameters:
openAiApi
- - The OpenAiApi instance to use for making API requests.metadataMode
- - The mode for generating metadata.options
- - The options for OpenAI embedding.retryTemplate
- - The RetryTemplate for retrying failed API requests.observationRegistry
- - The ObservationRegistry used for instrumentation.
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Method Details
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embed
Description copied from interface:EmbeddingModel
Embeds the given document's content into a vector.- Parameters:
document
- the document to embed.- Returns:
- the embedded vector.
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call
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
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setObservationConvention
Use the provided convention for reporting observation data- Parameters:
observationConvention
- The provided convention
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