Class OllamaEmbeddingModel

java.lang.Object
org.springframework.ai.embedding.AbstractEmbeddingModel
org.springframework.ai.ollama.OllamaEmbeddingModel
All Implemented Interfaces:
EmbeddingModel, Model<EmbeddingRequest,EmbeddingResponse>

public class OllamaEmbeddingModel extends AbstractEmbeddingModel
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
  • Constructor Details

    • OllamaEmbeddingModel

      public OllamaEmbeddingModel(OllamaApi ollamaApi, OllamaOptions defaultOptions, io.micrometer.observation.ObservationRegistry observationRegistry, ModelManagementOptions modelManagementOptions)
  • Method Details

    • builder

      public static OllamaEmbeddingModel.Builder builder()
    • embed

      public float[] embed(Document document)
      Description copied from interface: EmbeddingModel
      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: 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
    • setObservationConvention

      public void setObservationConvention(EmbeddingModelObservationConvention observationConvention)
      Use the provided convention for reporting observation data
      Parameters:
      observationConvention - The provided convention