Exploring RAG System Implementation Strategies

This chapter delves into the various methods of implementing a RAG system, covering the pros and cons of building a model from the ground up, refining existing models, and utilizing RAG. It emphasizes the cost-efficiency, interpretability, and user-friendliness of RAG, particularly beneficial for non-ML proficient teams, alongside discussing the significance of open-source models and the dynamic AI sector.