Core Concepts

These common terms must be understood in context of Rnet documentation.

Model

Models are the foundational components of AI applications. A well-suited model can handle effectively the specific task your application require .Rnet provides access to a wide range of models from various providers.

Application Orchestration

Application Orchestration allows developers and non-technical users to build, manage, and deploy complex AI applications in a structured and efficient way, simplifying the process of building and scaling AI solutions.

Workflow

The heart of Workflow is an intuitive, drag-and-drop interface. It enables you to break down complex tasks into smaller steps.

Knowledge

Knowledge refers to the structured information and data that the AI models use to understand, process, and respond to user inputs. It encompasses all the information the AI has been trained on, as well as any additional data or context that you provide to enhance the AI's performance in specific tasks.

Tools

Tools that extend the capabilities of Language Learning Models (LLMs) can significantly enhance their functionality and interaction with the external world.