with mlflow.start_run() as mlflow_run:
  logged_model = mlflow.langchain.log_model(
    retrieval_qa,
    "retrieval_qa_chain",
    loader_fn=load_retriever,
    persist_dir=persist_directory,
    model_config={"chain_type": "stuff"}
  )

logging model as above