はじめに
対話型AIプラットフォーム
チャットボットの概要
自然言語処理(NLP)
ボットの概念と用語
クイックスタートガイド
プラットフォームへのアクセス
ボットビルダーの操作
リリースノート
最新バージョン(英語)
以前のバージョン(英語)
廃止機能(英語)
コンセプト
設計
ストーリーボード
ダイアログタスク
ダイアログタスクとは
ダイアログビルダー
ノードタイプ
インテントノード
ダイアログノード
エンティティノード
フォームノード
確認ノード
ロジックノード
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ユーザープロンプト
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イベント ハンドラー
ナレッジグラフ
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ボットにナレッジグラフを追加
グラフの作成
ナレッジグラフの構築
既存のソースからFAQを構築
通知タスク
スモールトーク
デジタルスキル
デジタルフォーム
デジタルビュー
デジタルビューとは
パネル
ウィジェット
トレーニング
トレーニングとは
機械学習
機械学習とは
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ナレッジグラフ
示唆
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インテリジェンス
インテリジェンスとは
コンテキスト
コンテキストインテント
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複数インテントの検出
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公開
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封じ込め測定
カスタムダッシュボード
カスタムダッシュボードとは
メタタグ
カスタムダッシュボードとウィジェット
LLM and Generative AI
Introduction
LLM Integration
Kore.ai XO GPT Module
Prompts & Requests Library
Co-Pilot Features
Dynamic Conversations Features
ユニバーサルボット
ユニバーサルボットとは
ユニバーサルボットの定義
ユニバーサルボットの作成
ユニバーサルボットのトレーニング
ユニバーサルボットのカスタマイズ
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ハウツー
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バンキングボット – 残高を更新
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Here
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デジタルスキルの設計
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データテーブルのデータの追加方法
データテーブルのデータの更新方法
Add Data from Digital Forms
ボットのトレーニング
示唆の使用方法
インテントとエンティティのパターンの使用方法
コンテキスト切り替えの管理方法
ボットのデプロイ
エージェント転送の設定方法
ボット関数の使用方法
コンテンツ変数の使用方法
グローバル変数の使用方法
ボットの分析
カスタムダッシュボードの作成方法
カスタムタグを使ってフィルタリング
Data
Overview
Data Table
Table Views
App Definitions
Data as Service
Build a Travel Planning Assistant
Travel Assistant Overview
Create a Travel Virtual Assistant
Design Conversation Skills
Create an ‘Update Booking’ Task
Create a Change Flight Task
Build a Knowledge Graph
Schedule a Smart Alert
Design Digital Skills
Configure Digital Forms
Configure Digital Views
Train the Assistant
Use Traits
Use Patterns
Manage Context Switching
Deploy the Assistant
Use Bot Functions
Use Content Variables
Use Global Variables
Use Web SDK
Build a Banking Assistant
Migrate External Bots
Google Dialogflow Bot
APIs & SDKs
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API Introduction
Rate Limits
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koreUtil Libraries
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Web SDK
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BotKit SDK
BotKit SDK Deployment Guide
Installing the BotKit SDK
Using the BotKit SDK
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SDK Functions
Tutorials
BotKit - Blue Prism
BotKit - Flight Search Sample VA
BotKit - Agent Transfer
  1. ホーム
  2. Docs
  3. Process Apps
  4. How To Articles
  5. Travel Assistant Overview

Travel Assistant Overview

The Kore.ai XO Platform allows you to create a variety of Virtual Assistants, to suit business needs that are just as diverse. In this section of the Platform’s Documentation, we will explore a use case that will help you gain more in-depth knowledge about building specific scenarios within your VA. For this purpose, we will build a Travel Planning Assistant and focus on several essential topics, which we will be discussing below: 

Designing Conversation Skills

Conversation skills are central to your VA, since they make the functionality possible. In this section of our Use Case Documentation, you will learn how to create the following:

  1. A simple Travel Planning Assistant, with a Check Flight Status Dialog Task.
  2. An Update Booking Dialog Task that allows users to update the name on their travel booking. 
  3. A Change Flight Task that lets users change flights by providing the flights to change from and to, as well as the seat preference.
  4. Some Knowledge Graph FAQs along with relevant structure that lets your VA reply to users’ questions, initiate tasks and detect intents appropriately. 
  5. A Smart Alert that sends users weather forecasts.

Designing Digital Skills

Digital Skills improve your user’s experience by gathering and displaying information in a more efficient and visually appealing manner. You can build the following:

  1. Digital Forms: These allow you to build complex forms through which to retrieve information from users in one go, rather than through multiple back and forth User-VA interactions.
  2. Digital Views: These are composed of Widgets and Panels, which you can use to display information to users, either via the VA or via an app integration.

Training the Assistant

Assistant Training is essential to any well-performing VA. For our use case, we discuss the following training related topics, within the context of our Travel Planning Assistant:

  1. Using Traits to improve intent detection.Traits let you make specific associations which the VA should follow in order to properly detect specific intents.
  2. Using Patterns to improve intent detection, as well as entity recognition. Patterns allow you, for example, to determine word order for expressions that should be used as such when determining intents or entities.
  3. Context Switching allows you to enable content sharing across intents and/or FAQs to improve experience and avoid redundancy.

Deploying the Assistant

When the Travel Assistant has been developed, it is time to deploy it. For this section, we will go through the following scenarios:

  1. Configuring Agent Transferf to LiveChat to allow the VA to pass conversations to human agents via the LiveChat application.
  2. Using Bot Functions to enable the use of scripts across the VA.
  3. Using Content Variable to improve performance and avoid having to manually process the same type of information multiple times. 
  4. Using Global Variables to pass API endpoints and easily change them when migrating from development to testing to production environments.
  5. A tutorial of the Kore.ai Web SDK that allows you to integrate the XO Platform to external applications.

Travel Assistant Overview

The Kore.ai XO Platform allows you to create a variety of Virtual Assistants, to suit business needs that are just as diverse. In this section of the Platform’s Documentation, we will explore a use case that will help you gain more in-depth knowledge about building specific scenarios within your VA. For this purpose, we will build a Travel Planning Assistant and focus on several essential topics, which we will be discussing below: 

Designing Conversation Skills

Conversation skills are central to your VA, since they make the functionality possible. In this section of our Use Case Documentation, you will learn how to create the following:

  1. A simple Travel Planning Assistant, with a Check Flight Status Dialog Task.
  2. An Update Booking Dialog Task that allows users to update the name on their travel booking. 
  3. A Change Flight Task that lets users change flights by providing the flights to change from and to, as well as the seat preference.
  4. Some Knowledge Graph FAQs along with relevant structure that lets your VA reply to users’ questions, initiate tasks and detect intents appropriately. 
  5. A Smart Alert that sends users weather forecasts.

Designing Digital Skills

Digital Skills improve your user’s experience by gathering and displaying information in a more efficient and visually appealing manner. You can build the following:

  1. Digital Forms: These allow you to build complex forms through which to retrieve information from users in one go, rather than through multiple back and forth User-VA interactions.
  2. Digital Views: These are composed of Widgets and Panels, which you can use to display information to users, either via the VA or via an app integration.

Training the Assistant

Assistant Training is essential to any well-performing VA. For our use case, we discuss the following training related topics, within the context of our Travel Planning Assistant:

  1. Using Traits to improve intent detection.Traits let you make specific associations which the VA should follow in order to properly detect specific intents.
  2. Using Patterns to improve intent detection, as well as entity recognition. Patterns allow you, for example, to determine word order for expressions that should be used as such when determining intents or entities.
  3. Context Switching allows you to enable content sharing across intents and/or FAQs to improve experience and avoid redundancy.

Deploying the Assistant

When the Travel Assistant has been developed, it is time to deploy it. For this section, we will go through the following scenarios:

  1. Configuring Agent Transferf to LiveChat to allow the VA to pass conversations to human agents via the LiveChat application.
  2. Using Bot Functions to enable the use of scripts across the VA.
  3. Using Content Variable to improve performance and avoid having to manually process the same type of information multiple times. 
  4. Using Global Variables to pass API endpoints and easily change them when migrating from development to testing to production environments.
  5. A tutorial of the Kore.ai Web SDK that allows you to integrate the XO Platform to external applications.
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