RAG Systems

Build AI that knows your documents

Author: AI Learning Club Team · Difficulty: Intermediate · Duration: 2 hr 10 min · Modules: 25

Modules

1. Introduction to RAG Systems (5 min)
2. Fundamentals of Vector Databases (5 min)
3. Embedding Techniques for RAG (5 min)
4. Chunking Strategies in RAG (5 min)
5. Advanced Chunking Methods (5 min)
6. Introduction to Reranking Algorithms (5 min)
7. Implementing Reranking in RAG (5 min)
8. LangChain Basics (5 min)
9. Advanced LangChain Techniques (5 min)
10. Hybrid Search Fundamentals (5 min)
11. Combining Vector and Keyword Search (5 min)
12. Optimizing Hybrid Search Performance (5 min)
13. Case Studies in RAG Applications (5 min)
14. Evaluating RAG System Performance (5 min)
15. Scaling RAG Systems (5 min)
16. Security and Privacy in RAG (5 min)
17. Ethical Considerations in RAG (5 min)
18. Future Trends in RAG Technology (5 min)
19. Project: Building a Simple RAG System (5 min)
20. Project: Advanced RAG System with LangChain (5 min)
21. Capstone Project: Comprehensive RAG Application (5 min)
22. Review and Best Practices (5 min)
23. Q&A Session (5 min)
24. Course Wrap-Up and Next Steps (5 min)
25. Resources & References (2 min)

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