Class OracleEmbeddingModel

java.lang.Object
dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel
dev.langchain4j.model.oracle.OracleEmbeddingModel
All Implemented Interfaces:
dev.langchain4j.model.embedding.EmbeddingModel
public class OracleEmbeddingModel extends dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel
Embed documents Use dbms_vector_chain.utl_to_embeddings to get embeddings. You can specify which provider to use such as an ONNX model or a third-party provider via a REST call. Some example preferences To use an ONNX model: { "provider": "database", "model": "database" } To use a third-party provider: { "provider": "ocigenai", "credential_name": "OCI_CRED", "url": "https://inference.generativeai.us-chicago-1.oci.oraclecloud.com/20231130/actions/embedText", "model": "cohere.embed-english-light-v3.0" }

  • Field Summary

    Fields inherited from class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

    dimension

  • Constructor Summary

    Constructors
    Constructor
    Description
    OracleEmbeddingModel(Connection conn, String pref)
    Create an embedding model
    OracleEmbeddingModel(Connection conn, String pref, String proxy)
    Create an embedding model with a proxy

  • Method Summary

    Modifier and Type
    Method
    Description
    dev.langchain4j.model.output.Response<List<dev.langchain4j.data.embedding.Embedding>>
    embedAll(List<dev.langchain4j.data.segment.TextSegment> textSegments)
    get embeddings for a list of text segments
    boolean
    getBatching()
     
    static boolean
    loadOnnxModel(Connection conn, String dir, String onnxFile, String modelName)
    load an ONNX model located on the server into the database
    void
    setBatching(boolean batching)
     

    Methods inherited from class dev.langchain4j.model.embedding.DimensionAwareEmbeddingModel

    dimension, knownDimension

    Methods inherited from class Object

    clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

    Methods inherited from interface dev.langchain4j.model.embedding.EmbeddingModel

    embed, embed

  • Constructor Details

    • OracleEmbeddingModel

      public OracleEmbeddingModel(Connection conn, String pref)
      Create an embedding model

    • OracleEmbeddingModel

      public OracleEmbeddingModel(Connection conn, String pref, String proxy)
      Create an embedding model with a proxy

  • Method Details

    • setBatching

      public void setBatching(boolean batching)

    • getBatching

      public boolean getBatching()

    • loadOnnxModel

      public static boolean loadOnnxModel(Connection conn, String dir, String onnxFile, String modelName) throws SQLException
      load an ONNX model located on the server into the database
      Parameters:
      conn - connection
      dir - directory alias from create directory
      onnxFile - ONNX file
      modelName - model name
      Throws:
      SQLException

    • embedAll

      public dev.langchain4j.model.output.Response<List<dev.langchain4j.data.embedding.Embedding>> embedAll(List<dev.langchain4j.data.segment.TextSegment> textSegments)
      get embeddings for a list of text segments