Virtual Assistants

Traits

In natural conversations, it is very common that a user provides background/relevant information while describing a specific scenario. Traits are specific entities, attributes, or details that the users express in their conversations. The utterance may not directly convey any specific intent, but the traits present in the utterance are used…

User Intent Node

As a bot developer, you typically create a task to resolve one primary user intent. Yet, user conversations can branch into related intents (follow-up or sub-intents) as a part of the primary intent. Let us take a look into this sample conversation for a flight booking assistant: VA: Hi, how…

Virtual Assistants Overview

Introduction Communication has been the essence of life from the beginning of time. Traditionally, conversations were restricted to verbal and textual interaction between humans. These interactions were usually guided by emotions, context, and awareness of previous conversations. With the advent of computers, interactions have expanded to include machines i.e. human-machine…

Managing Dialogs

Your bot can have many dialog tasks with related components. You can use the Dialog Editor to create, review, and edit a single dialog task for a bot. However, to better visualize and understand relationships and settings for all dialog tasks in a bot, you must use the Manage Components…

Message (Bot Response) Nodes

The Message Node is used to deliver a message to the user. Message nodes commonly follow an API, web service call, or webhook event to define their results as a formatted response. You can format bot responses as below: Plain text: Type a message in plain text. You can use…

Talk to Bot

After you have defined your assistant and configured one or more tasks, you should test your settings before you publish your NLP-enabled assistant. Bot owners and developers can chat with the assistant in real-time to test recognition, performance, and flow as if it were a live session. Testing a Virtual…

Creating a Simple Virtual Assistant

After you have signed up with the Kore.ai Bots platform, the next step is to create a bot. Before you create a bot, it is recommended to go through the basics of bot-building from this link. You can follow the steps given in this document to build the bot at…

Adding the Mattermost Channel

You can connect Kore.ai assistants to your Mattermost account using either: Webhook based integration or WebSocket based integration. Before you begin, ensure that you have access to the administrative functions of your Mattermost account. WebHook based Integration Step 1: Setup Outgoing Webhook Login to your Mattermost account From the Main…

Adding the Google Chat Channel

Adding Google Chat as a channel to your Kore.ai assistant allows end-users to chat with it using Google Chat. This article shows you how to set it up. Step 1: Enable the Google Chat API Log into Google Cloud. Click Library, in the left side menu. Search and select the…

Ranking and Resolver

The Kore.ai NLP engine uses Machine Learning, Fundamental Meaning, and Knowledge Graph (if any) models to match intents. All the three Kore.ai engines finally deliver their findings to the Kore.ai Ranking and Resolver component as either exact matches or probable matches. Ranking and Resolver determines the final winner of the…