Auto Evaluator
Last updated
Last updated
The AutoEvaluator
class in the RAGchain framework is used for evaluating metrics without the need for ground truths. You only need to pass the questions and your pipeline for evaluation. It will evaluate context precision, which measures retrieval performance. And answer relevancy and faithfulness can measure answer generation performance of your pipeline. It uses metrics for evaluation without ground truths.