1. 1. Introduction to RAG
2. 1. 1.1. What is RAG?
   2. 1.2. Why RAG is Important?
3. 2. RAG Foundations
4. 1. 2.1. Core Components
   2. 2.2. Naive RAG Pipeline
5. 3. The RAG Workflow
6. 1. 3.1. Overview of Modules
   2. 3.2. Vector Databases
7. 4. Key Techniques and Tools
8. 1. 4.1. Chunking Strategies
   2. 4.2. Embedding Models
   3. 4.3. Metadata Usage
9. 5. Advanced and Modular RAG
10. 1. 5.1. Advanced RAG Improvements
    2. 5.2. Modular RAG
    3. 5.3. Common Flow Patterns
11. 6. RAG vs. Other LLM Enhancement Techniques
12. 1. 6.1. Fine-tuning vs. RAG
    2. 6.2. Prompt Engineering vs. RAG
13. 7. Evaluation of RAG Systems
14. 1. 7.1. Metrics
    2. 7.2. Datasets and Benchmarks
15. 8. Real-World Applications
16. 9. Challenges and Future Directions
17. 1. 9.1. Common Challenges
    2. 9.2. Future Research
18. 10. REFERNCESE