Docs

Bots Platform v6.0

This is the release information for the Bots Platform 6.0 released on Nov 4, 2017. Bot Ontology and Knowledge graph Enhancement to the Knowledge task capability with support to define Bot ontology and associate FAQs. The intent detection engine now works on a dual approach of Knowledge Graph and semantic…

Bots Platform v6.1

Release 6.1 comes with a host of new features like the ability to build Universal Bots, analyze your bot’s NLP performance and fulfillment process, dynamically auto-subscribe your customers to custom notifications that are sure to enhance your bot building capabilities significantly. One of the noticeable differences in this release a…

Bots Platform v6.2

Release 6.2 introduces Chatbot-IVR integration capability that enables developers to integrate conversational bots with your existing IVR systems. Also, in this release, we've made several signification additions to the Knowledge Graph and System Entities. Kore.ai Bots Platform now also lets developers customize the NLP parameters as every use-case demands a…

Bots Platform v6.2.2

The feature enhancements in this release empower bot developers to design intelligent bots using options like context switching and improved machine learning training models. Enterprises have better control over their bot deployment strategy by taking advantage of smart bots and applying redaction techniques for information security compliance. Enhanced context switching…

Bot Types

The following are the different bot types supported by Kore.ai: Standard Bots Standard Bots are the most common type of bots. Using these, you can create dialog, alert, action, information tasks, and knowledge graph, as well as flows that map one task to another. For more information, see Defining a…

Improving Bot Performance – NLP Optimization

A chatbot’s ability to consistently understand and interact with a user is dictated by the robustness of the Natural Language Processing (NLP) that powers the conversation. Kore.ai’s Platform uses a unique Natural Language Processing strategy, combining Fundamental Meaning and Machine Learning engines for maximum conversation accuracy with little upfront training.…

Design

Before you jump in to develop a Bot, it would be a good idea to spend some time in understanding what the Bot would be and how it would help you and your business. This understanding would bring clarity and efficiency to the Bot development. Chatbots are artificial intelligence systems…

Working with Composite Entities

Composite Entities help you capture multiple entity values in a user utterance. These multiple entity values can be optional and can come in any order in the user utterance. Example: Car Sales Bot: Consider the sales inquiries to car sales. Typical queries can be of the form: ‘I am interested…

Defining a Smart Bot

Kore.ai’s Smart Bots allow enterprises to build Bots centrally and allow various teams within the enterprise to reuse and extend the Bot configurations to suit their requirements. Smart Bots expedite the bot building process by allowing new bots to inherit the configuration and tasks of pre-defined bots. For a detailed…

Supported Entity Types

The Entity Type provides the NLP Interpreter with the expected type of data from a user utterance to enhance recognition and system performance. The Kore.ai NLP interpreter extracts the entity from the user utterance. If the user does not enter a required entity, you can define a Bot Response node…