Update of machine learning algorithm with new data in tidymodels

Dear all, I would like to update a Xgboost algorithm embedded into a workflow with new data. I cannot find a way to do that except by running again the workflow on the augmented data (previous ones and the new ones). I know that it is possible with keras for neural network to start from save values but I am not sure it is possible for other approaches.If someone has a solution?
Many thanks in advance.

You'll have to completely refit for a tree-based model :-/

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