Although QnA doesn’t seem to work in a bot where there are other flows, my workaround has always been to create a bot specifically handling QnA and then use interbot communication to connect to my QnA bot.
However, I tried to do that this morning to no avail. The QnA has 229 (289kb) unique entries, all with the recommended 10+ sample questions. The questions consists an amalgamation of the efforts of five different data capture folks who inputted manually on different bots, exported and sent me the jsons. I then imported to this bot.
On training the model (claims to have) trained successfully. However, when I type in anything verbatim from sample question I get this and the default message which I set on
event.nlu.intent.name === 'none'
At the bottom, I get this red gear icon which doesn’t restart the server as it promises
when I refresh browser I get a red NLU performance icon (the box) If I retrain my score is 17% (I don’t know if that’s good or bad)
My cli looks like this
See below from @Pierre Paul