📖 xMagic Glossary of Terms
Welcome to the xMagic Glossary! Here, you'll find definitions for commonly used terms throughout our platform, helping you better understand how to utilize xMagic for your conversational AI needs.
AI Agent
An AI Agent refers to a software entity that acts on behalf of a user or another program with some degree of autonomy. In xMagic, an AI agent is responsible for handling and responding to user queries based on trained models and predefined rules.
Knowledge Base
A Knowledge Base in xMagic is a digital repository of structured and unstructured data that an AI agent uses to answer questions and resolve user requests. It typically includes PDFs, excel sheets, websites parsed and other informational content.
Tool
In the context of xMagic, a Tool refers to software or applications integrated into the AI system to enhance its capabilities. Examples include scheduling tools, form-filling applications, or analytics platforms.
API Keys
API Keys are unique identifiers used to authenticate a user, developer, or calling program to an API. These keys are essential for integrating xMagic with other software applications securely.
Quick Actions
Quick Actions are predefined responses or tasks that an AI agent can execute with minimal input from the user. They are designed to streamline interactions by automating common actions such as scheduling appointments or retrieving user information.
Playground
The Playground in xMagic is a development and testing environment where users can experiment with and fine-tune their AI agents. It allows for real-time interaction with the agent without affecting the live environment.
Channels
Channels refer to the various communication pathways through which users can interact with an AI agent. Common channels include web chat, email, SMS, and voice calls.
Tasks
In xMagic, Tasks refer to any actionable items assigned to or handled by an AI agent. Tasks can range from sending reminders to processing transactions, depending on the capabilities of the agent.
Conversations
Conversations are interactions between the AI agent and users. These can be analyzed to improve the agent's responses and overall effectiveness in handling user requests.
Feedback
Feedback involves user responses and reactions to interactions with the AI agent. Gathering and analyzing feedback is crucial for iterative improvement of the AI system.
This glossary provides a foundation for understanding the essential components and features of xMagic. For more detailed information, please refer to specific documentation sections or contact our support team.