Virtual Assistants

Bot Summary and Usage Metrics

Kore.ai Bots Platform provides in-depth insights and metrics on the performance of the virtual assistants. Following are the key features: Bot Summary to get a bird's eye view of all the bot configuration and capabilities in a place. See here for details. The Overview Dashboard gives a snapshot of the…

Amend Entity

Time and again, we come across situations wherein the users change their preferences during task execution. For example, while booking a flight, the user might change the date of travel and at times even the destination. Amend Entity is a feature for such scenarios. Using this feature, you can allow…

Multi-Intent Detection

Kore.ai’s NLP engine breaks conversations down to their essence, identifies and follows-up on multiple action items, or intents, from a single message. The virtual assistant can then execute tasks in a sequential and logical manner. You can allow the NLP engine to detect and execute multiple intents identified in a…

Intelligence Overview

The best, most memorable Virtual Assistants have conversation flows that feel natural and human-like. Natural conversations, however, often tend to go beyond the pre-defined and linear intent resolution paths that seem inherent in most VAs. To further complicate this, users often fail to follow a task to its logical conclusion…

Knowledge Graph Training

Training your Assistant is not restricted to the Machine Learning and Fundamental Meaning engines. You must also train the Knowledge Graph (KG) engine, too. The Ontology-based Knowledge Graph turns static FAQ text into an intelligent, personalized conversational experience. It uses domain terms and relationships thus reducing the training needs. It…

Fundamental Meaning

Fundamental Meaning is a computational linguistics approach that is built on ChatScript. The model analyzes the structure of a user’s utterance to identify each word by meaning, position, conjugation, capitalization, plurality, and other factors. FM Engine Overview The Fundamental Meaning model is a deterministic model that uses semantic rules and…

Nodes Overview

In order to create Dialog Tasks, the Dialog Builder uses nodes and transitions to make the necessary connections between the components of your conversation. In this article, we will overview the available node types, transitions, as well as context object information. How do Nodes and Transitions Work? Nodes are a…

Universal Bots

Kore.ai’s Universal Bots facilitate a scalable, modular approach to Bot building by helping you link several Bots into one. Universal Bot is a container bot that can be linked with one or more Standard Bots. When a user interacts with the Universal Bots, it routes the user utterance to the…

Bots Platform v2.1

In this page: v2.1.1 release highlights, v2.1 release highlights. Bot Builder v2.1.1 This section contains the release information for Bot Builder v2.1.1, a minor release on Feb 22, 2017. Changes The following list describes changes to existing features in Bot Builder since the last release. Task transitions use nodeId instead…

Bots Platform v2.2

This is the release information for the Bots Admin v2.2 and Bot Builder v2.2 released on April 16, 2017. Bots Admin Console v2.2 This section contains the release information for the Bots Admin v2.2 released on Mar 10, 2017. Manage Builder Access - A new module page in Bots Management…