What do you get when you combine the best AI and Machine Learning technology with a Natural Language Processing engine with over ten years of lexical development? Inbenta Chatbot is a sophisticated chatbot engine, equipped with semantic search and transactional intelligence. And if you add one of our state-of-the-art 3D avatar, the ultimate face-to-face customer experience.

Table of Contents

1. API
   • API Setup - Getting started with the Inbenta Chatbot API: set up the API, request and retrieve information.
   • API Routes - API endpoints, requests and response formats.
   • API Definitions - Bot responses schemas.
   • API Tracking Guidelines - Recommended tracking settings for optimal Chatbot analytics.
   • API Answer Types - Explaining the possible answers that Inbenta Chatbot returns and their possible attributes and parameters.
   • API Direct Answers - Inbenta Chatbot's static, automated answers.
   • Webhooks - Explaining Webhooks and how Inbenta Chatbot uses them.
   • API Change Log - Chatbot API version log.
2. Editor API
   • Editor API Setup - Set up the Editor API, request and retrieve information.
   • Editor API Routes - Editor API endpoints, requests and response formats.
   • Editor API Definitions - Editor API responses schemas.
   • Editor API Change Log - Editor API version log.
3. JavaScript SDK
   • SDK Setup - Getting started with the Inbenta Chatbot SDK: set up, build a UI, introduction to adapters.
   • SDK configuration - SDK Build options, Answers, Avatars, customization.
   • SDK customization - Advanced SDK Customization with Actions, Subscriptions and Adapters.
     • Feature example - Functional example with adapter.
     • Step by Step Guide - Detailed customization instructions with examples.
   • SDK Adapters - Explaining internal and external Adapters, with the following functional examples:
     • NL-Escalation adapter
     • HyperChat adapter
     • HyperChat Integration
     • Promotional message
   • SDK JS-Client - Introducing the JavaScript JS-Client for Inbenta Chatbot.
     • Methods - In-depth look at the JS-Client configuration methods.
   • SDK Styles - Customizing the look and feel of your Chatbot using CSS.
   • SDK Subresource Integrity - Checking and validating your SDK version.
   • SDK Change Log - Chatbot SDK version log.
4. Language Detection
   • Language Detection Overview - Integrating language detection to point at the relevant language instances.
   • Unexpected Languages - Dealing with the detection of queries in unexpected languages.