Retrieval-Augmented Generation

Turkish equivalent: Getirim destekli üretimDomain: Large Language Models

Retrieval-Augmented Generation — A generation architecture that retrieves external information at request time and supplies selected evidence to a language model as additional context.

Context and Inference Boundary

RAG does not update model parameters; it supplies external context at inference time and therefore depends heavily on retrieval and context-construction quality.

Source

https://arxiv.org/abs/2005.11401

Related technical article: Artificial Intelligence: Philosophy, Theory and Practice.

Updated: 02.09.2026

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