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Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG)
Every LLM you've ever used was frozen in time the moment training stopped. GPT-4 doesn't know about your company's internal docs. Claude can't read the support tickets from last week. And no amount of prompting changes that, because the knowledge simply isn't in the weights.
RAG is the practical fix the industry converged on. Instead of retraining or fine-tuning a model every time your knowledge base changes, you retrieve the relevant information at query time and hand it to the LLM as context. The model reads it, reasons over it, and responds as if it knew all along. Think of it as giving the LLM an open-book exam instead of expecting it to memorize everything in advance.
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