> ## Documentation Index
> Fetch the complete documentation index at: https://docs.wetrocloud.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Welcome 👋 to the Wetrocloud Developer Documentation. Here you'll learn how to easily integrate Retrieval Augmented Generation (RAG) into your applications using the Wetrocloud API.

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Some reasons you might want to use Wetrocloud API:

1. **Data Categorization**: Categorize your data by defining specific rules with a JSON schema, making it easy to sort and manage your datasets.
2. **Structured Output**: Generate well-organized, consistent results from your data, ensuring that the information is presented in a clear and predictable format.
3. **Production-ready RAG**: Deploy Retrieval-Augmented Generation systems that are stable, efficient, and designed to handle production environments.
4. **Fast Retrieval**: Access relevant data quickly, ensuring your system can deliver responses without unnecessary delays.

## Next Steps

Learn how to make your first API request in minutes. Follow step-by-step instructions to get up and running

<CardGroup cols={2}>
  <Card title="Quick Start" icon="pen-to-square" href="quickstart">
    Cant wait to get started? This quickstart guide will help you setup quickly.
  </Card>

  <Card title="About Retrieval Augmented Generation" icon="image" href="/about-RAG">
    New to RAG? Here is a quick primer to aid your understanding
  </Card>
</CardGroup>