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Tutorial Introduction

Welcome to the RapidAI tutorial! 🚀

This tutorial will guide you through building increasingly sophisticated AI applications, from a simple chatbot to a production-ready system with RAG, caching, and deployment.

What You'll Build

By the end of this tutorial, you'll have built:

  1. Simple Chatbot - Basic streaming chat endpoint
  2. Stateful Assistant - Conversation memory and context
  3. Document Q&A System - RAG-powered knowledge base
  4. Production API - Complete with caching, monitoring, and deployment

Prerequisites

Before You Start

  • Python 3.9 or higher installed
  • Basic Python knowledge (functions, async/await)
  • API key for Anthropic or OpenAI
  • 30-60 minutes of time

Tutorial Structure

Part 1: Basics

Part 2: Advanced Features

Part 3: Production

  • Configuration Management
  • Testing Your App
  • Performance Optimization
  • Deployment Strategies

Learning Path

graph LR
    A[Installation] --> B[Simple Chatbot]
    B --> C[Streaming]
    C --> D[Memory]
    D --> E[Caching]
    E --> F[Multi-Provider]
    F --> G[Production]

Tutorial Conventions

Throughout this tutorial:

Tips

Helpful hints and best practices

Warnings

Common pitfalls to avoid

Information

Additional context and explanations

Success

Milestones and achievements

Code Examples

All code examples are:

  • ✅ Tested - Every example works out of the box
  • ✅ Complete - No missing imports or setup
  • ✅ Progressive - Each builds on the previous
  • ✅ Practical - Real-world use cases

Getting Help

Stuck? Here's how to get help:

  1. Check the docs - Search the reference documentation
  2. GitHub Issues - Report bugs or ask questions
  3. Discussions - Community Q&A
  4. Discord - Join our community (coming soon)

Ready to Start?

Let's build your first AI application!

Remember

Every expert was once a beginner. Take your time, experiment, and have fun! 🎉