Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is an AI architecture that combines a large language model with a retrieval system that fetches relevant documents at query time—enabling domain-specific answers without full model retraining.
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Finocchiaro, Michael. “Retrieval-Augmented Generation (RAG).” DemystifyingPLM PLM Glossary, 2026, https://www.demystifyingplm.com/glossary/retrieval-augmented-generation-rag