Kommunicate Live Chat SDK VS nodejs-dialogflow

There are lots of low code no code chatbots available in the market now. I have created a chatbot for my project using Kommunicate. You can try them out, all features are available in the trial period. Also, its GUI is very easy to use and you can always take the help of support to speed up. They are mainly working in healthcare chatbots so it's an advantage to use it over others in your case.

If you are someone, looking for an AI chatbot, check out Kommunicate - https://www.kommunicate.io/

Here's Kommunicate's website: https://www.kommunicate.io/

Using Kommunicate to rather more effortlessly integrate the DialogFlow chatbot into React app

You will need a Kommunicate account for deploying the python chatbot.

Some of the competitors for Tidio are Intercom, Kommunicate and Freshchat

Kommunicate.io account

Step 3: Create a Kommunicate accountfor a free chatbot.

Below is an example of Kommunicate Support Bot developed in iOS using Dialogflow and Kommunicate. We actually use this bot on our website. If you wish to see the bot live in action, click here.

https://github.com/googleapis/nodejs-dialogflow - node library for work with dialogflow

Step 1 - Go to https://dialogflow.com/ and select Dialogflow ES, the standard agent type suitable for small and simple agents.

In this article, we will be sharing steps to building an iOS chatbot with Dialogflow. All you need to build a sample chatbot using Dialogflow and Kommunicate for an iOS app.

NLU services are complicated, but, generally, main NLU providers for general use are dialogflow.com or rasa.com or app.jaicp.com

Then we use this file from https://github.com/googleapis/nodejs-dialogflow I put it into a file I called chatbot-helper.js which I then exported and imported in my request handler. This file contains a function called 'runSample' which contains all the proper config to start communicating with your agent. We will have to edit a couple of things here. The only thing you have to change here is your actual project id in the parameters of the function. I stored my project id in .env and imported it here. Later on, we will add a parameter called message and pass it in for the value of text.text in the queryInput object.