O'Reilly Book RAG - Interactive Learning Platform

Learn from your PDF books - build quizzes, Q&A, and chat for learning from your books.

Overview

This project implements a Retrieval-Augmented Generation (RAG) solution for creating an interactive quiz-based learning platform from O'Reilly books. The system transforms static PDF content into dynamic, engaging learning experiences through AI-powered quiz generation, adaptive learning paths, and comprehensive progress tracking.

Key Features

📚 Document Processing

• PDF Parsing: Extract text, metadata, and structure from O'Reilly books
• Smart Chunking: Optimized content segmentation for quiz generation
• Vector Indexing: Fast semantic search using embeddings and vector databases

🎯 Quiz Generation

• Multiple Question Types: Multiple choice, true/false, fill-in-the-blank, short answer
• Concept-Based Questions: Focus on key concepts, definitions, and examples
• Application Questions: Real-world scenarios and practical applications
• Code Questions: Programming-specific questions for technical books
• Adaptive Difficulty: Questions adjust based on user performance

🧠 Learning Intelligence

• Progress Tracking: Detailed analytics and learning insights
• Spaced Repetition: Optimized review scheduling for better retention
• Knowledge Gap Analysis: Identify areas needing improvement
• Personalized Recommendations: Customized learning paths

🎮 Gamification

• Points & Badges: Reward system for achievements
• Learning Streaks: Daily study motivation
• Leaderboards: Social learning competition
• Study Groups: Collaborative learning features

📊 Analytics Dashboard

• Performance Visualization: Charts and graphs showing learning progress
• Mastery Tracking: Subject and topic proficiency levels
• Study Insights: Detailed learning analytics and recommendations
• Export Reports: Share progress with instructors or peers

Technology Stack

Backend

• FastAPI: Modern, fast web framework for APIs
• LlamaIndex: Document processing and RAG implementation
• SentenceTransformers: High-quality text embeddings
• ChromaDB/FAISS: Vector database for semantic search
• PostgreSQL: User data, quizzes, and progress storage
• SQLAlchemy: Database ORM and migrations

Frontend

• React: Modern UI framework with Vite build tool
• Tailwind CSS: Utility-first styling
• React Query: Server state management
• Framer Motion: Smooth animations and transitions
• Chart.js/Recharts: Data visualization

Project Structure

oreilly-rag/
├── backend/          # FastAPI backend with RAG services
├── frontend/         # React frontend application
├── data/            # Processed documents and embeddings
├── resources/       # PDF books and source materials
└── docs/           # Documentation and guides

Getting Started

Coming soon - Setup instructions and installation guide

Development Status

This project is currently in planning phase with a comprehensive implementation roadmap covering:

• Phase 1-2: Environment setup and document processing pipeline
• Phase 3-4: Quiz generation core and backend API development
• Phase 5: Frontend development with modern UI/UX
• Phase 6: Advanced features (adaptive learning, social features)
• Phase 7-8: Integration, testing, and deployment

Contributing

Coming soon - Contribution guidelines and development setup

License

Coming soon - License information

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Transform your static PDF books into dynamic, interactive learning experiences with AI-powered quizzes and personalized learning paths.