Bot Building

Digital Forms

This feature was released in v7.3 of the platform and is in the (beta) state. Virtual Agents engage end-users primarily using a conversational interface that typically includes an exchange of a series of messages. But oftentimes, there is a need to gather information from the end-user to proceed further. Examples…

Digital Views

Interactions with virtual agents are typically conducted using chat/messaging tools, voice channels, or digital assistants. In the majority of the cases, the virtual agents respond to the user queries only when the users have requested some information. This works well for conducting on-demand tasks that need user input for execution…

Panels & Widgets

Interactions with virtual agents are typically conducted using chat / messaging tools, voice channels or digital assistants. In the majority of the cases, the virtual agents respond to the user queries only when the users have requested for some information. This works well for conducting on-demand tasks that need user…

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 the…

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…

Working with the 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…

Working with the 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…