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

# Guides Introduction

> Comprehensive guides to help you build powerful AI agents with LarAgent. From basic implementations to advanced patterns and real-world use cases.

<Note>
  Welcome to the LarAgent Guides! These step-by-step tutorials will help you
  master LarAgent's capabilities and build production-ready AI agents for your
  Laravel applications.
</Note>

## What You'll Find Here

The Guides section provides practical, hands-on tutorials that complement the core documentation. While the [Core Concepts](/core-concepts/agents) explain *what* LarAgent can do, these guides show you *how* to implement real-world solutions.

<CardGroup cols={2}>
  <Card title="RAG Implementation" icon="database" href="/guides/rag/vector-based">
    Build intelligent document search and retrieval systems
  </Card>

  <Card title="Coming Soon" icon="clock" color="#6b7280">
    More guides are being prepared
  </Card>
</CardGroup>

## Guide Categories

### 🔍 Retrieval-Augmented Generation (RAG)

Learn how to enhance your AI agents with external knowledge sources:

* **[Vector-Based RAG](/guides/rag/vector-based)** - Implement semantic search using vector embeddings for document retrieval

### 🚀 More Guides Coming Soon

We're actively working on additional guides covering:

* **Multi-Agent Systems** - Orchestrating multiple agents for complex workflows
* **Custom Tool Development** - Building specialized tools for your domain
* **Production Deployment** - Best practices for scaling LarAgent in production
* **Integration Patterns** - Common patterns for integrating with existing Laravel applications
* **Performance Optimization** - Tips for optimizing agent response times and resource usage

## How to Use These Guides

Each guide follows a consistent structure to help you learn effectively:

<Steps>
  <Step title="Prerequisites">
    What you need to know or have installed before starting
  </Step>

  <Step title="Step-by-Step Implementation">
    Detailed instructions with code examples
  </Step>

  <Step title="Testing & Validation">
    How to verify your implementation works correctly
  </Step>

  <Step title="Next Steps">
    Suggestions for extending or improving the implementation
  </Step>
</Steps>

## Before You Begin

Make sure you've completed the [Quickstart](/quickstart) tutorial and have a basic understanding of:

* [Agents](/core-concepts/agents) - The foundation of LarAgent
* [Tools](/core-concepts/tools) - How agents interact with external systems
* [Chat History](/core-concepts/chat-history) - Managing conversation context

## Getting Help

If you encounter issues while following these guides:

<CardGroup cols={2}>
  <Card title="GitHub Issues" icon="github" href="https://github.com/MaestroError/LarAgent/issues">
    Report bugs or request new guides
  </Card>

  <Card title="Discord Community" icon="discord" href="https://discord.gg/NAczq2T9F8">
    Get help from the community
  </Card>
</CardGroup>

## Contributing to Guides

Found an error or want to suggest improvements? We welcome contributions to make these guides better for everyone. You can:

* Submit issues for unclear instructions
* Propose new guide topics
* Share your own implementation examples

***

Ready to dive in? Start with [Vector-Based RAG](/guides/rag/vector-based) to learn how to build knowledge-enhanced AI agents, or explore the [Core Concepts](/core-concepts/agents) if you need to review the fundamentals.