I am trying to build a bot that would answer users questions using a knowledge base of our resolved support tickets.
The goal would be that the bot is able to resolve recurring problems that have already been solve before.
My problem is that my knowledge base has a lot of irrelevant tickets, for example with no explanations of how it was solved or with a badly exposed/unclear problem.
I was thinking of creating an AI Task that would try to clean up the knowledge base, but from what I can find the AI task canno’t directly interact with it ?
For now, I use the knowledge base description to influence the bot to only use the relevant informations he can find.
But I wonder if there are better solution to this ? (Beside cleaning up the dataset by hand)