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
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  • Why Choose Rnet?
  • Official Links
  1. INTRODUCTION

About Rnet

Welcome to Rnet! an easy-to-use LLMOps platform that aims to create AI applications easier. By providing a comprehensive suite of tools and features, Rnet simplifies the entire AI development process, making it accessible to developers and non-technical innovators.

Our platform integrates:

  • Supports for Leading MMLs

  • User-Friendly Prompt Orchestration Interface

  • Advanced RAG Engines

  • Versatile AI Agent Framework

  • Low-Code Workflow Interface

  • Simple Interfaces and APIs

Why Choose Rnet?

  • All-in-One Platform: Unlike many AI development tools that provide isolated components, Rnet offers a complete, integrated solution. Think of Rnet as a well-designed scaffolding system that supports your entire AI project from start to finish, rather than just a collection of separate tools.

  • Rapid Iteration and Robust Features: The open-source nature of Rnet encourages frequent updates and the addition of new features. Users benefit from cutting-edge functionalities and timely enhancements driven by collective expertise and real-world feedback.

  • Flexible and Powerful Capabilities: Rnet allows you to deploy capabilities similar to Assistant APIs and GPTs using any AI model of your choice.

  • Easy to Use Interface: Rnet straightforward and well-designed interface simplifies the process of managing and deploying AI applications.

Official Links

  • Website

  • Twitter

  • Discord

NextQuickstart

Last updated 9 months ago