You have deployed a RAG model for document retrieval and response generation in a customer service application. Over time, you want to monitor if the performance of your model degrades, particularly in terms of its ability to generate useful and accurate responses. Which of the following approaches would be most appropriate for using MLflow to monitor model drift over time?