Hi, I have a rasa chatbot api&action released on azure kubernetes as docker images. The memory usage is super high for api (This is for processing request not for training model). How to reduce/limit the memory usage?
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Memory usage For RASA api, the CPU is less than 1%; but the memory usage is above 91% (Usage about 1.8G, the pod is about 512 Mi, limit 1.95G) For RASA action, the CPU is less than 1% and the memory usage is about 7% (75Mi, the pod is about 512 Mi, limit 1.95G)
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RASA version and model use rasa==3.0.8 fuzzywuzzy spacy
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Language model use: python