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Rabetbase Developer Documentation

Start with a Diagram​

Lovrabet System Architecture

This diagram illustrates how the Lovrabet ecosystem works:

Left Side - Input:

  • Business Requirements: Business users describe requirements in natural language or upload requirement documents
  • Data Sources: Connect to existing enterprise MySQL databases

Middle - Lovrabet Platform:

  • AI Agent: Analyzes business requirements and intelligently generates pages and features
  • Rabet Base: Provides ER models, APIs, SDKs, MCP, and other developer capabilities

Right Side - Output:

  • Lovrabet Business Systems: AI-generated management backends (RabetPage, RabetSearch, RabetChats, RabetReport)
  • Third-party Applications: Mini programs, Apps developed by developers through Rabetbase integration, or integrations with other systems

What is the Core Value?

80% of requirements can be handled by business users themselves — describe in natural language, AI generates directly.

Only 20% of customized requirements need technical personnel to integrate and develop through Rabetbase.

This is why you're reading this documentation — you are the developer for that 20% of scenarios.

What is Rabetbase​

Simply put, Rabetbase is Lovrabet's developer platform for technical roles.

Lovrabet Workbench is designed for business users, connecting to databases to generate management systems with AI. But there are always requirements that AI cannot handle:

  • Building a WeChat mini program for customers
  • Integrating with the company's existing ERP system
  • Writing complex business logic
  • Creating customized data dashboards

This is where Rabetbase comes in. It opens up Lovrabet platform's data capabilities (with business model understanding), allowing developers to:

  • Call OpenAPI to read and write data
  • Quickly integrate with TypeScript/Java SDK
  • Use MCP to let AI coding assistants understand your business model
  • Use CLI tools to boost development efficiency

Core Capability: AI Automatically Understands Your Business Data​

After connecting to the database, Lovrabet's AI Architect Team (collaboration of multiple AI roles including super DBA, enterprise architect, etc.) will automatically complete:

1. Business Model Inference

  • Analyze business relationships between tables (even if the database has no foreign key constraints)
  • Identify business entities: which are customers, orders, products, users...
  • Understand business processes: sales processes, approval processes, inventory flows...

2. Generate Development Resources with Business Semantics

Automatic Business Model Inference

The inferred business model is injected into:

  • API: Interfaces naturally understand business relationships, querying related data without manual JOIN
  • SDK: Type definitions reflect real business structures
  • MCP: Enables Claude/Cursor to truly understand your business, generating immediately usable code

3. Efficiency Boost 2-5x

Because AI understands the business model, you no longer need to repeatedly explain "what this table is" or "which table it's related to" during development. Code generation accuracy is significantly improved, reducing debugging and rework time.

What You Can Save​

In traditional mode, you have to:

  • Write a bunch of CRUD interfaces
  • Build a management backend
  • Handle authentication, permissions, pagination, and other common logic
  • Coordinate frontend and backend

After using Rabetbase, you don't need to worry about these. Connect to the database and you immediately have:

  • Ready-made API: Automatically generated CRUD interfaces for each table
  • Ready-made Backend: AI-generated management system, ready for business users
  • Ready-made SDK: TypeScript and Java, type-safe, ready to call

You only need to focus on writing business logic.

Create a project with CLI in minutes:

$ lovrabet create

* Project name: my-crm
* App AppCode [Optional]: app-c4c89304
√ Valid login status detected
* Do you want to automatically pull API configuration? ▶ Yes

✔ Copy project files
✔ Update project configuration
✔ Install npm dependencies
✔ Pull API configuration

🎉 Project created successfully!

  cd my-crm
  lovrabet start

📦 Generated APIs:
   └── src/api/
       ├── api.ts      # API interfaces for all data tables
       └── client.ts   # Encapsulated client, ready to use

Developer Tools Overview​

ToolPurposeDocumentation
TypeScript SDKWeb frontend, Node.js backend callsQuick Start
Java SDKSpring Boot and other Java backend integrationQuick Start
OpenAPIDirect API calls from mini programs, AppsAPI Documentation
CLICreate projects, generate configs, sync menusUser Guide
MCPLet Claude/Cursor understand your dataConfiguration

How to Choose​

What You Want to DoUse This
React / Vue / Next.js frontend projectTypeScript SDK
Spring Boot backend serviceJava SDK
WeChat mini program / AppOpenAPI
Write code with AI (Claude / Cursor)MCP

Next Steps​

Choose one to start: