Power Virtual Agents has just been equipped with the new functionality called “global variables”. With it we are now able to chain topics’ conversation and still be able to know the context from previous topics. Also – bots can be given the context from external applications using those variables. How to do it? Let me show you.
Ever been there? You know what question you want to ask to a chatbot, but it is not trained to understand it, so instead telling you, it doesn’t know the answer, it’s just constantly asking you to rephrase the question?
I was recently taking part in a Regarding365 hackathon where our goal was to build solutions for companies struggling with communications during the time of COVID-19 pandemic. Sometime after a friend of mine asked me a question about building the same solution I did during that hackathon. The solution was – QnA chatbot using QnA maker as a database. How to do it? Read on!
One of the very powerful features of Power Virtual Agent is the functionality called “Entities”. It’s main purpose is to let bot ask question to user, then let user answer to the question in natural language, using full sentence and finally to extract from that response key points, that will let the bot to move on in the conversation.
With the fresh release of Power Virtual Agent and its general availability (2nd December 2019) a bunch of new features were added to the tool. One of them is the functionality that allows us to publish the bot and use it in Teams for example. Or Messenger. Or Slack. Or …
In my previous post you were able to learn how to authenticate user in Power Virtual Agent. This post is about getting and using context of the authenticated user.
Today Microsoft already released some of the features, which were planned to be released on 2nd of December 2019, in their “new” product: Power Virtual Agent. One of them is “Authentication”. In this post I will help you to set up Azure Active Directory as an oAuth2.0 authentication endpoint.