RNet AI
  • INTRODUCTION
    • About Rnet
    • Quickstart
    • Core Concepts
      • List of Model Providers
  • GETTING STARTED
    • Model
      • Add New Provider
      • Predefined Model Integration
      • Custom Model Integration
      • Interfaces
      • Schema
    • Application Orchestration
      • Overview
      • Interactive Chat Application
      • Agent
      • App Kits
    • Workflow
      • Core Concepts
      • Node Overview
        • Start
        • Question Classifier
        • Knowledge Retrieval
        • Variable Aggregator
        • LLM
        • Direct Reply
        • IF/ELSE
        • HTTP Request
        • End
    • Knowledge Base
Powered by GitBook
On this page
  • Creating a New Application
  • Application Types
  • Creating from a DSL File
  • Import local DSL file
  1. GETTING STARTED
  2. Application Orchestration

Overview

PreviousApplication OrchestrationNextInteractive Chat Application

Last updated 8 months ago

There are three ways to create an application on Rnet:

  • Create based on an application template ()

  • Create a blank application

  • Create application via DSL file (Local/Online)

DSL is an AI application engineering file standard defined by Rnet.AI. The file format is YML. This standard covers the basic description of the application, model parameters, orchestration configuration, and other information.

Creating a New Application

If you need to create a blank application on Rnet, you can select “Studio” from the navigation and then choose “Create from Blank” in the application list.

When creating an application for the first time, you might need to first understand the basic concepts of the four different types of applications on Rnet

Application Types

When creating an application, you need to give it a name, choose an appropriate icon, and use clear and concise text to describe the purpose of this application, to facilitate its subsequent use within the team.

Creating from a DSL File

Import local DSL file

If you have obtained a template (DSL file) from the community or others, you can choose "Import DSL File" from the studio. After importing, all configuration information of the original application will be loaded directly.

Chat Assistant

A Chat Assistant is essentially an AI-driven chatbot powered by a large language model like GPT.

Use Cases

Customer support, Virtual Assistant,Educational Tool, etc

Text Generation

An assistant for text generation tasks such as writing stories, text classification, translation, etc.

Use Cases

Content Creation, Summarization, Translation, etc

Agent

An intelligent assistant built on large language models (LLMs) that can perform sophisticated tasks by understanding and processing complex instructions.

Use Cases

Customer Support Agent, Research Assistant, Personal Assistant, etc

Workflow

Is a structured, automated sequence of tasks designed to handle complex processes involving large language models (LLMs).

Use Cases

Data Analysis and Reporting, Task Automation, etc

recommended for beginners
Create an application by importing a DSL file