Builder

Storyboard

Visualizing how end-users are expected to interact with the bots is a very essential exercise in building successful bots. This helps you design engaging conversations as well as simplifies the communication between business users, conversation designers, language experts, and bot developers. Designing chatbots comes with different challenges as compared to…

Knowledge Graph Analysis

A careful analysis of the Knowledge Graph helps in detecting errors in your questions and the path associated with the same that hamper the user experience. Knowledge Graph Diagnosis tool helps you to identify any inefficiencies in your knowledge graphs and suggest possible corrective actions. Note that these are just…

Small Talk

Small Talk refers to the casual conversations that a bot can have with the end-users. The ability to engage end-users in casual conversations helps socialize your bot and improves the recall rates. The Small Talk conversation is designed as a series of interaction volleys between the bot and the user.…

Generation of Knowledge Graph

The performance of Kore.ai’s Knowledge Graph is based on the proper organization of the Knowledge Graph-based upon key domain terms and establishing a hierarchy. Building the FAQs is easy when you start fresh with the Knowledge Graph, but in case you have a list of questions-answer pairs converting the same…

Knowledge Graph

Kore.ai’s Knowledge Graph helps you turn your static FAQ text into an intelligent, personalized conversational experience. It goes beyond the usual practice of capturing FAQs in the form of flat question-answer pairs. Instead, Knowledge Graph enables you to create an ontological structure of key domain terms and associate them with…

Confirmation Nodes

Confirmation Node allows you to prompt the user for a yes or no answer. It helps in the verification or allowing users to accept or decline a choice. For example, in the Books Flight Bot, you can use a confirmation node to prompt the user to respond if they would like…

Dialog Node

Dialog Node lets you start a new dialog task within an existing dialog task if the user intent changes. For example, let us consider a travel bot that has the following three dialog tasks: Flight Availability, Book a Flight, and Book a Hotel. You may want to invoke the Book…

Using Session and Context Variables in Tasks

When you define tasks, you can access session variables provided by the Bots Platform, or custom variables that you define, as well as the context that defines the scope of the variable. For example, some API requests may require you to set session variables before the request is executed, or a…

User Prompts

After creating an Entity, Confirmation, or Message node in the Dialog Builder, Kore.ai lets you do the following: Modify the default message or user prompt displayed to the end-user. Add new prompts or messages. Add channel-specific prompts or messages. Prompt Types Dialog Tasks support two types of user prompts: Standard:…

Context Object

The Context object is the container object that persists data for dialog execution and across all intents i.e. dialog tasks, action, alert & info tasks, and FAQs. Kore.ai’s natural language processing (NLP) engine populates the intent identified, entities extracted, and history into this object. Keys from the Context object are…