Build Powerful Chatbots with Kore.ai

Table of Contents:

1. Introduction to Chordata
2. Understanding Bots 2.1 Types of Bot Activities 2.2 An Overview of Bot Building Process
3. Bot Builder UI and Features 3.1 Navigating the UI 3.2 Tasks in Bot Builder 3.3 Training the Bot 3.4 Channel Identification 3.5 Configuring Bot Settings
4. Publishing and Analyzing the Bot 4.1 Publishing the Bot 4.2 Analyzing Conversation History
5. Building Single System and Multi-System Bots 5.1 Building Bots for Specific Systems 5.2 Building Bots with Overarching Capabilities
6. Conclusion

Introduction to Chordata

Chordata is an advanced bot builder that allows users to Create their own bots. In this walkthrough, we will explore the various aspects of Chordata's bot builder, including the different types of bot activities, the user interface, and the process of building, deploying, and analyzing bots. We will also discuss the differences between single system and multi-system bots.

Understanding Bots

Bots are essentially empty constructs or shells of ideas or thoughts. The true capability of a bot lies in the paths or tasks that are built within it. There are four types of bot activities: alerts, actions, information tasks, and dialogues.

Alerts are bot-initiated activities that involve sending notifications to the user. Actions, on the other HAND, are user-initiated activities where the bot performs a specific action Based on the user's intent. Information tasks involve pulling useful information for the user, initiated by the user. Lastly, dialogues are more complex interactions where the bot walks the user through different conversations or scenarios.

An Overview of Bot Building Process

Before delving into the bot builder, it is essential to define the capabilities of the bot. This involves thinking about the features and tasks the bot needs to perform to solve a particular problem. Once the capabilities are defined, the bot can be built by creating tasks and training it to understand conversations and user intents.

After training the bot, the next step is to identify the channels through which users can access the bot. This involves configuring external endpoints and fine-tuning the bot's settings. Once everything is set up, the bot can be published, and its lifecycle can be controlled. Conversations can be analyzed to Gather insights and improve the bot's performance.

Bot Builder UI and Features

The bot builder has a user-friendly interface that allows users to navigate and create bots effortlessly. The UI is organized into different sections, each serving a specific purpose.

When creating a new task within a bot, users can determine the Type of task they are building. The natural language tab allows for training the bot to understand conversations and user intents. This ensures that the bot can perform activities on the user's behalf based on their requests.

Navigating the UI

Understanding the layout of the bot builder UI is crucial for efficiently creating and managing bots. The UI is divided into sections that encompass different functionalities and settings.

Tasks in Bot Builder

Tasks are the Core building blocks of a bot. By defining tasks, users can specify the capabilities and functions of the bot. The bot can then perform actions, retrieve information, and engage in dialogues based on these defined tasks.

Training the Bot

Training the bot is essential to ensure that it understands user conversations and intents accurately. The natural language tab provides the tools to train the bot and map user inputs to specific tasks. This enables the bot to perform actions or retrieve information based on user requests.

Channel Identification

Identifying the channels through which users can access the bot is an important step in the bot building process. The bot builder allows users to configure external endpoints and define the channels for communication.

Configuring Bot Settings

Configuring bot settings involves fine-tuning various configurations to optimize the bot's performance. Users can adjust settings related to conversation flow, language understanding, and other bot functionalities.

Publishing and Analyzing the Bot

Once the bot is built and configured, it can be published to make it available to users. During the publishing process, users have control over which tasks need to be exposed and can manage the bot's lifecycle.

Analyzing the conversation history provides valuable insights into how users Interact with the bot. It helps identify successful interactions, areas for improvement, and user queries that were not anticipated. This information can be used to enhance the bot's capabilities and train it to better understand user conversations.

Building Single System and Multi-System Bots

Users have the flexibility to build bots for specific systems or create bots with overarching capabilities. Building a bot for a specific system involves integrating with that system's APIs and designing tasks accordingly. On the other hand, creating a bot with overarching capabilities requires managing multiple systems and APIs to provide a comprehensive user experience.

Conclusion

Chordata's bot builder provides a powerful platform for creating and managing bots. By understanding the various aspects of bot building, users can develop bots that perform specific tasks, understand user conversations, and provide seamless user experiences. Whether building single system bots or multi-system bots, Chordata offers the tools and functionalities needed to create advanced and efficient bots.

Highlights

• Chordata's bot builder simplifies the process of creating bots.
• Bots can perform alerts, actions, information tasks, and engage in dialogues.
• The bot builder UI is user-friendly and allows for easy navigation and management.
• Training the bot enables it to understand user conversations and intents accurately.
• Identifying channels and publishing the bot make it available to users.
• Analyzing conversation history provides insights for improving the bot's performance.
• Users can build single system bots or create bots with overarching capabilities.

FAQ

Q: Can Chordata's bot builder be used for both single system and multi-system bots? A: Yes, Chordata's bot builder supports both single system and multi-system bots. Users have the flexibility to build bots specific to a particular system or create bots with overarching capabilities that integrate with multiple systems.

Q: How does the bot builder help in training the bot? A: The bot builder provides a natural language tab that allows users to train the bot to understand conversations and user intents. This ensures that the bot can accurately interpret user requests and perform actions or retrieve information based on those requests.

Q: Can the conversation history be analyzed to improve the bot's performance? A: Yes, analyzing the conversation history provides valuable insights into user interactions with the bot. It helps identify successful interactions, areas for improvement, and user queries that were not anticipated. This information can be used to enhance the bot's capabilities and improve its understanding of user conversations.