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

# RAG Isn't a Silver Bullet for Every Document Problem While RAG (a popular AI retrieval method) works well for certain tasks, many common document challenges—like sorting requests into categories, matching text against a checklist, extracting data from tables, or fixing scanner errors—actually have simpler and cheaper solutions that work just as well. The real skill in solving document problems isn't using one powerful tool for everything, but knowing which of several different techniques to use for each specific job.
Enterprise Document Intelligence [Vol.1 #B00] - Retrieval answers one kind of question. Classifying a request, matching free text to a reference list, reading a table, cleaning OCR noise: each has a cheaper method that works, and the engineering is knowing which one to reach for The post RAG Is Not
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