Package org.springframework.ai.ollama
Class OllamaEmbeddingModel
java.lang.Object
org.springframework.ai.embedding.AbstractEmbeddingModel
org.springframework.ai.ollama.OllamaEmbeddingModel
- All Implemented Interfaces:
EmbeddingModel
,Model<EmbeddingRequest,
EmbeddingResponse>
EmbeddingModel
implementation for Ollama. Ollama allows developers
to run large language models and generate embeddings locally. It supports open-source
models available on [Ollama AI Library](...)
and on Hugging Face. Please refer to the official Ollama
website for the most up-to-date information on available models.- Since:
- 0.8.0
- Author:
- Christian Tzolov, Thomas Vitale
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Nested Class Summary
Modifier and TypeClassDescriptionstatic final class
static class
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Field Summary
Fields inherited from class org.springframework.ai.embedding.AbstractEmbeddingModel
embeddingDimensions
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Constructor Summary
ConstructorDescriptionOllamaEmbeddingModel
(OllamaApi ollamaApi, OllamaOptions defaultOptions, io.micrometer.observation.ObservationRegistry observationRegistry, ModelManagementOptions modelManagementOptions) -
Method Summary
Modifier and TypeMethodDescriptionstatic OllamaEmbeddingModel.Builder
builder()
call
(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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OllamaEmbeddingModel
public OllamaEmbeddingModel(OllamaApi ollamaApi, OllamaOptions defaultOptions, io.micrometer.observation.ObservationRegistry observationRegistry, ModelManagementOptions modelManagementOptions)
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Method Details
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builder
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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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