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
- Author:
- Geng Rong, Thomas Vitale, Soby Chacko
-
Field Summary
Fields inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel
embeddingDimensions -
Constructor Summary
ConstructorsConstructorDescriptionMiniMaxEmbeddingModel(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.voidsetObservationConvention(EmbeddingModelObservationConvention observationConvention) Methods inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel
dimensions, dimensionsMethods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, waitMethods inherited from interface org.springframework.ai.embedding.EmbeddingModel
embed, embed, embed, embedForResponse
-
Constructor Details
-
MiniMaxEmbeddingModel
Constructor for the MiniMaxEmbeddingModel class.- Parameters:
miniMaxApi- The MiniMaxApi instance to use for making API requests.
-
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.
-
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.
-
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.
-
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.
-
-
Method Details
-
embed
Description copied from interface:EmbeddingModelEmbeds the given document's content into a vector.- Parameters:
document- the document to embed.- Returns:
- the embedded vector.
-
call
Description copied from interface:ModelExecutes 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
-
setObservationConvention
-