Master Retrieval-Augmented Generation (RAG) Systems
Transform AI Applications with RAG: Expert Techniques in Information Retrieval and Generation
Created by Paulo Dichone
Explore the world of Retrieval-Augmented Generation and learn how to build smarter AI applications that combine information retrieval with advanced answer generation. Move from foundational concepts to sophisticated techniques, gaining practical experience along the way. By the end, you will know how to design, implement, and optimize RAG systems for real-world use.
Packt | Jul 2024 | 99 min
What You Will Learn
You will work through practical exercises that reinforce each new concept, starting with basic RAG setups and moving to advanced optimization strategies. Real-world examples and project-based challenges help you apply what you learn, so you can confidently build and refine RAG systems for your own projects.
Key Features
- Build and optimize RAG pipelines for accurate information retrieval and generation
- Apply advanced techniques like query expansion and cross-encoder re-ranking
- Integrate dense passage retrieval to improve AI application performance
Target Audience
Designed for AI professionals, data scientists, and NLP specialists with a solid grasp of Python and basic AI concepts. If you want to deepen your expertise in information retrieval and generation, and apply advanced RAG methods to complex problems, this course will help you reach your goals.
