20.qna-with-appinsights

QnA Maker with AppInsights

Bot Framework v4 QnA Maker with AppInsights sample

This sample shows how to create a bot that uses QnA Maker with Application Insights to get telemetry around bot and QnA Maker performance. This bot example uses applicationinsights.

This bot has been created using Microsoft Bot Framework.

This samples shows how to:

• Use QnAMaker to implement core AI capabilities
• How to use Middleware to log messages to Application Insights
• How to log QnAMaker results to Application Insights
• View metrics using a PowerBI report, Azure Monitor queries or Visual Studio

Prerequisites

This samples requires prerequisites in order to run.

• Required Prerequisites

To run the bot

• Install modules

  npm install

• Setup LUIS Assuming prerequisites have been installed:

  # log into Azure
  az login

  # set you Azure subscription
  az account set --subscription "<azure-subscription>"

  # Create LUIS service application
  msbot clone services --name "<your-bot-name>" --location <azure region like eastus, westus, westus2 etc.> --folder "deploymentScripts/msbotClone" --verbose

• Start the bot

  npm start

Testing the bot using Bot Framework Emulator v4

Microsoft Bot Framework Emulator is a desktop application that allows bot developers to test and debug their bots on localhost or running remotely through a tunnel.

• Install the Bot Framework Emulator version 4.1.0 or greater from here.

Connect to bot using Bot Framework Emulator v4

• Launch Bot Framework Emulator
• File -> Open Bot Configuration and navigate to BotBuilder-Samples/samples/javascript_nodejs/20.qna-with-appinsights
• Select <your-bot-name>.bot file

QnA Maker service

QnA Maker enables you to power a question and answer service from your semi-structured content.

One of the basic requirements in writing your own Bot service is to seed it with questions and answers. In many cases, the questions and answers already exist in content like FAQ URLs/documents, product manuals, etc. With QnA Maker, users can query your application in a natural, conversational manner. QnA Maker uses machine learning to extract relevant question-answer pairs from your content. It also uses powerful matching and ranking algorithms to provide the best possible match between the user query and the questions.

Deploy the bot to Azure

After creating the bot and testing it locally, you can deploy it to Azure to make it accessible from anywhere. To learn how, see Deploy your bot to Azure for a complete set of deployment instructions.

View metrics

• Learn how to use PowerBI, use Azure Monitor queries and Visual Studio to view Application Insights data.

Further reading

• Bot Framework Documentation
• Bot Basics
• Azure Bot Service Introduction
• Azure Bot Service Documentation
• Deploying Your Bot to Azure
• Azure CLI
• msbot CLI
• Azure Portal
• QnA Maker