![]() The slot color is automatically paired with the entity color. In the example below, color: Your browser does not support the video tag. To store the value of an entity in a slots, you simply need to create a slot with the same name. Information can be stored in slots in different ways: From entities While other types of slots can also influence the course of the conversation. Unfeaturized slots can be used only to store information, Slots are containers you can create to store information in the conversation’s context. Therefore you can re-use the same intent several times in a row and give different responses. When predicting a response to eet, Rasa will consider the whole story, not just the latest user message. Your browser does not support the video tag. The following video shows how to replicate this with your assistant. If you say Hi three times in a row to someone, the third response might be different from the first one. We remember facts, about the other person, but also the previous turns of the conversation. When we respond to someone else’s utterance, we respond considering the history we have with that person. This issue disappears if you put the retrieval intent responses within your NLU files instead of in your domain.yml file.The best way to understand context is to think about how we, humans, handle it. Please make sure the action is listed in your domain and there is a template defined with its name. ~/lib/python3.8/site-packages/rasa/shared/utils/io.py:93: UserWarning: The action 'utter_chitchat' is used in the stories, but is not a valid utterance action. In my case, I have two retrieval intent rules (faq & chichat), and I’m getting the following warnings before the Project validation completed with errors message appears: /~/lib/python3.8/site-packages/rasa/shared/utils/io.py:93: UserWarning: The action 'utter_faq' is used in the stories, but is not a valid utterance action. I’m also having troubles with rasa data validate when having retrieval intents. Project validation completed with errors. Python3.6/site-packages/rasa/shared/utils/io.py:93: UserWarning: The action 'utter_mood' is used in the stories, but is not a valid utterance action. Python3.6/site-packages/rasa/shared/utils/io.py:93: UserWarning: The action 'utter_info' is used in the stories, but is not a valid utterance action. Python3.6/site-packages/rasa/shared/utils/io.py:93: UserWarning: The action 'utter_bot' is used in the stories, but is not a valid utterance action. Python3.6/site-packages/rasa/shared/utils/io.py:93: UserWarning: The action 'utter_social_media' is used in the stories, but is not a valid utterance action. 09:56:41 INFO rasa.validator - Validating utterances. 09:56:41 INFO rasa.validator - Validating uniqueness of intents and stories. 09:56:41 INFO rasa.validator - Validating intents. I can only solve it by creating responses (utter_social_media, utter_bot, utter_info, utter_mood), but i don’t need this responses. Training the bot works without errors, but I like to validate the data before I start training for several minutes. Iam trying to validate my files with command “rasa data validate” but I always get this errors for retrieval intents.
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