RAG Is Not the Whole Toolkit: The NLP Techniques Real Problems Still Need

While Retrieval-Augmented Generation (RAG) is a powerful tool, it's often an expensive and slow first choice for many common natural language processing tasks. A more effective engineering approach involves a cascade of simpler, cheaper methods like exact matching, spelling correction, and