Package org.springframework.ai.minimax
Class MiniMaxEmbeddingModel
java.lang.Object
org.springframework.ai.embedding.AbstractEmbeddingModel
org.springframework.ai.minimax.MiniMaxEmbeddingModel
- All Implemented Interfaces:
EmbeddingModel
,Model<EmbeddingRequest,
EmbeddingResponse>
MiniMax Embedding Model implementation.
- Since:
- 1.0.0 M1
- Author:
- Geng Rong, Thomas Vitale
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Field Summary
Fields inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel
embeddingDimensions
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Constructor Summary
ConstructorDescriptionMiniMaxEmbeddingModel
(MiniMaxApi miniMaxApi) Constructor for the MiniMaxEmbeddingModel class.MiniMaxEmbeddingModel
(MiniMaxApi miniMaxApi, MetadataMode metadataMode) Initializes a new instance of the MiniMaxEmbeddingModel class.MiniMaxEmbeddingModel
(MiniMaxApi miniMaxApi, MetadataMode metadataMode, MiniMaxEmbeddingOptions miniMaxEmbeddingOptions) Initializes a new instance of the MiniMaxEmbeddingModel class.MiniMaxEmbeddingModel
(MiniMaxApi miniMaxApi, MetadataMode metadataMode, MiniMaxEmbeddingOptions miniMaxEmbeddingOptions, org.springframework.retry.support.RetryTemplate retryTemplate) Initializes a new instance of the MiniMaxEmbeddingModel class.MiniMaxEmbeddingModel
(MiniMaxApi miniMaxApi, MetadataMode metadataMode, MiniMaxEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate, io.micrometer.observation.ObservationRegistry observationRegistry) Initializes a new instance of the MiniMaxEmbeddingModel 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) 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
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Constructor Details
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MiniMaxEmbeddingModel
Constructor for the MiniMaxEmbeddingModel class.- Parameters:
miniMaxApi
- The MiniMaxApi instance to use for making API requests.
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MiniMaxEmbeddingModel
Initializes a new instance of the MiniMaxEmbeddingModel class.- Parameters:
miniMaxApi
- The MiniMaxApi instance to use for making API requests.metadataMode
- The mode for generating metadata.
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MiniMaxEmbeddingModel
public MiniMaxEmbeddingModel(MiniMaxApi miniMaxApi, MetadataMode metadataMode, MiniMaxEmbeddingOptions miniMaxEmbeddingOptions) Initializes a new instance of the MiniMaxEmbeddingModel class.- Parameters:
miniMaxApi
- The MiniMaxApi instance to use for making API requests.metadataMode
- The mode for generating metadata.miniMaxEmbeddingOptions
- The options for MiniMax embedding.
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MiniMaxEmbeddingModel
public MiniMaxEmbeddingModel(MiniMaxApi miniMaxApi, MetadataMode metadataMode, MiniMaxEmbeddingOptions miniMaxEmbeddingOptions, org.springframework.retry.support.RetryTemplate retryTemplate) Initializes a new instance of the MiniMaxEmbeddingModel class.- Parameters:
miniMaxApi
- The MiniMaxApi instance to use for making API requests.metadataMode
- The mode for generating metadata.miniMaxEmbeddingOptions
- The options for MiniMax embedding.retryTemplate
- - The RetryTemplate for retrying failed API requests.
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MiniMaxEmbeddingModel
public MiniMaxEmbeddingModel(MiniMaxApi miniMaxApi, MetadataMode metadataMode, MiniMaxEmbeddingOptions options, org.springframework.retry.support.RetryTemplate retryTemplate, io.micrometer.observation.ObservationRegistry observationRegistry) Initializes a new instance of the MiniMaxEmbeddingModel class.- Parameters:
miniMaxApi
- - The MiniMaxApi instance to use for making API requests.metadataMode
- - The mode for generating metadata.options
- - The options for MiniMax 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
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