Unlock the power of modular RAG architectures. This course will teach you to decompose RAG models into independent modules, implement flexible and reusable designs, and evaluate their performance, scalability, and maintainability for optimal results.
AI systems often face challenges with performance, scalability, and maintainability due to monolithic designs. In this course, Modular RAGs, you’ll learn to implement modular architectures for RAG models. First, you’ll explore techniques for decomposing RAG systems into independent modules, such as retrieval, encoding, and generation. Next, you’ll discover how to implement flexible and reusable designs for improved system performance. Finally, you’ll learn how to evaluate the benefits and trade-offs of modular RAG designs in terms of performance, scalability, and maintainability. When you’re finished with this course, you’ll have the skills and knowledge of modular RAG architectures needed to optimize complex AI systems effectively.
AI systems often face challenges with performance, scalability, and maintainability due to monolithic designs. In this course, Modular RAGs, you’ll learn to implement modular architectures for RAG models. First, you’ll explore techniques for decomposing RAG systems into independent modules, such as retrieval, encoding, and generation. Next, you’ll discover how to implement flexible and reusable designs for improved system performance. Finally, you’ll learn how to evaluate the benefits and trade-offs of modular RAG designs in terms of performance, scalability, and maintainability. When you’re finished with this course, you’ll have the skills and knowledge of modular RAG architectures needed to optimize complex AI systems effectively.
