Class WatsonxScoringModel

java.lang.Object
dev.langchain4j.model.watsonx.WatsonxScoringModel
All Implemented Interfaces:
dev.langchain4j.model.scoring.ScoringModel

public class WatsonxScoringModel extends Object implements dev.langchain4j.model.scoring.ScoringModel
A ScoringModel implementation that integrates IBM watsonx.ai with LangChain4j.

Example usage:


 ScoringModel scoringModel = new WatsonxScoringModel.builder()
     .url("https://...") // or use CloudRegion
     .apiKey("...")
     .projectId("...")
     .modelId("cross-encoder/ms-marco-minilm-l-12-v2")
     .build();
 
  • Method Details

    • scoreAll

      public dev.langchain4j.model.output.Response<List<Double>> scoreAll(List<dev.langchain4j.data.segment.TextSegment> segments, String query)
      Specified by:
      scoreAll in interface dev.langchain4j.model.scoring.ScoringModel
    • scoreAll

      public dev.langchain4j.model.output.Response<List<Double>> scoreAll(List<dev.langchain4j.data.segment.TextSegment> segments, String query, com.ibm.watsonx.ai.rerank.RerankParameters parameters)
      Scores all provided TextSegments against a given query using the given RerankParameters.
      Parameters:
      segments - The list of TextSegments to score.
      query - The query against which to score the segments.
      parameters - the rerank parameters to use.
      Returns:
      the list of scores. The order of scores corresponds to the order of TextSegments.
    • builder

      public static WatsonxScoringModel.Builder builder()
      Returns a new WatsonxScoringModel.Builder instance.

      Example usage:

      
       ScoringModel scoringModel = new WatsonxScoringModel.builder()
           .url("https://...") // or use CloudRegion
           .apiKey("...")
           .projectId("...")
           .modelId("cross-encoder/ms-marco-minilm-l-12-v2")
           .build();