Hi, I tried to use the Knowledge Base Bot from the Rasa Tutorial on Knowledge Base Actions: rasa/examples/knowledgebasebot at master · RasaHQ/rasa · GitHub
And I found that when asking the question: “what is the price range of Berlin Burrito Company?” the bot does not recognize it. Eventhough it is stated this way 1:1 in the NLU data. So is it possible that knowledge base actions are not supported anymore by the newest version of rasa?
Thanks
Welcome Emildeon,
We still support actions. Can you send the debug output when you enter the utterance.
Greg
Hi, thanks for the quick response. Here is the debug output:
Bot loaded. Type a message and press enter (use '/stop' to exit):
Your input -> what is the price range of Berlin Burrito Company?
2020-07-26 16:05:47 DEBUG rasa.core.tracker_store - Creating a new tracker for id '5756d386a2274c8da129b6e2652914af'.
2020-07-26 16:05:47 DEBUG rasa.core.processor - Starting a new session for conversation ID '5756d386a2274c8da129b6e2652914af'.
2020-07-26 16:05:47 DEBUG rasa.core.processor - Action 'action_session_start' ended with events '[<rasa.core.events.SessionStarted object at 0x000001DC652CEA20>, <rasa.core.events.ActionExecuted object at 0x000001DC652CEEF0>]'.
2020-07-26 16:05:47 DEBUG rasa.core.processor - Current slot values:
attribute: None
city: None
cuisine: None
hotel: None
knowledge_base_last_object: None
knowledge_base_last_object_type: None
knowledge_base_listed_objects: None
mention: None
object_type: None
restaurant: None
2020-07-26 16:05:47 DEBUG rasa.core.processor - Received user message 'what is the price range of Berlin Burrito Company?' with intent '{'name': 'query_knowledge_base', 'confidence': 1.0}' and entities '[{'entity': 'attribute', 'start': 12, 'end': 23, 'value': 'price-range', 'extractor': 'DIETClassifier', 'processors': ['EntitySynonymMapper']}, {'entity': 'restaurant', 'start': 27, 'end': 49, 'value': 'Berlin Burrito Company', 'extractor': 'DIETClassifier'}]'
2020-07-26 16:05:47 DEBUG rasa.core.processor - Current slot values:
attribute: price-range
city: None
cuisine: None
hotel: None
knowledge_base_last_object: None
knowledge_base_last_object_type: None
knowledge_base_listed_objects: None
mention: None
object_type: None
restaurant: Berlin Burrito Company
2020-07-26 16:05:47 DEBUG rasa.core.processor - Logged UserUtterance - tracker now has 6 events.
2020-07-26 16:05:47 DEBUG rasa.core.policies.memoization - Current tracker state [None, None, None, {}, {'entity_restaurant': 1.0, 'entity_attribute': 1.0, 'intent_query_knowledge_base': 1.0, 'prev_action_listen': 1.0}]
2020-07-26 16:05:47 DEBUG rasa.core.policies.memoization - There is no memorised next action
2020-07-26 16:05:47 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_1_TEDPolicy
2020-07-26 16:05:47 DEBUG rasa.core.processor - Predicted next action 'action_query_knowledge_base' with confidence 0.76.
2020-07-26 16:05:47 DEBUG rasa.core.actions.action - Calling action endpoint to run action 'action_query_knowledge_base'.
2020-07-26 16:05:50 DEBUG rasa.core.processor - Action 'action_query_knowledge_base' ended with events '[BotUttered('Sorry, I'm not sure I understand. Can you rephrase?', {"elements": null, "quick_replies": null, "buttons": null, "attachment": null, "image": null, "custom": null}, {}, 1595772350.3741302)]'.
2020-07-26 16:05:50 DEBUG rasa.core.processor - Current slot values:
attribute: price-range
city: None
cuisine: None
hotel: None
knowledge_base_last_object: None
knowledge_base_last_object_type: None
knowledge_base_listed_objects: None
mention: None
object_type: None
restaurant: Berlin Burrito Company
2020-07-26 16:05:50 DEBUG rasa.core.policies.memoization - Current tracker state [None, None, {}, {'entity_restaurant': 1.0, 'entity_attribute': 1.0, 'intent_query_knowledge_base': 1.0, 'prev_action_listen': 1.0}, {'entity_restaurant': 1.0, 'entity_attribute': 1.0, 'prev_action_query_knowledge_base': 1.0, 'intent_query_knowledge_base': 1.0}]
2020-07-26 16:05:50 DEBUG rasa.core.policies.memoization - There is no memorised next action
2020-07-26 16:05:50 DEBUG rasa.core.policies.ensemble - Predicted next action using policy_1_TEDPolicy
2020-07-26 16:05:50 DEBUG rasa.core.processor - Predicted next action 'action_listen' with confidence 0.97.
2020-07-26 16:05:50 DEBUG rasa.core.processor - Action 'action_listen' ended with events '[]'.
2020-07-26 16:05:50 DEBUG rasa.core.lock_store - Deleted lock for conversation '5756d386a2274c8da129b6e2652914af'.
Sorry, I'm not sure I understand. Can you rephrase?Or can someone tell me at which version Knowledge Base Actions worked flawlessly? Because I wanted to use this feature for my Bot with a different Knowledge Base, but unfortunately it does seem like at least attribute queries do not work in the latest Rasa version.
I see that the Knowledge Base Bot has been updated 2 days ago. Now when I try “rasa train” with the newest version, it says “No training data given. Please provide stories and NLU data in order to train a Rasa model using the ‘–data’ argument.”. Never got that error before. Also I saw that in the data folder the files nlu.md and stories.md have been both changed to nlu.yaml and rules.yaml. Why is that?
EDIT 1: @b-quachtran
Maybe you can help here 
EDIT 2: I just saw now that the new format was edited to adhere to Rasa 2.0 standards, so I installed the latest version of Rasa which is 2.0.0a1. Now the command “rasa train” works without problems, but the knowledge base bot still doesn’t understand the sentence "what is the price range of Berlin Burrito Company? 
It seems like the Bot does not understand questions where a specific attribute of a specific restaurant/hotel is needed. If instead of a specific restaurant I first ask for a list of restaurants and then ask about a specific attribute of the last restaurant in the list via mentions, the Bot understands that and gives me the right answer.
Ok now after some testing I found out, that everything works if first you ask for a list of objects (restaurants or hotels). Then the bot is able to extract specific attribute values for the objects. But if you start the conversation with a question for a specific attribute the bot does not understand the question. Is this bot or knowledge base actions meant to work this way?
Yep, that’s how it works for me. I assume that it is an example of how each mechanism in the knowledge Base - can work, not how it should work.
Ah alright, thank you. Good to know
have you guys figured out a way to just have attribute related questions without the whole list being displayed first@TheDrEmil @skylacking ? because I am stuggling with the same thing too
After two years, this problem/bug still exists… I dont think it’s mechanism but thanks for your share, at least it solves some of my problems now…