Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models

Why Retrieval-Augmented Generation Is Still Relevant in the Era of Long-Context Language Models

In this article we will explore why 128K tokens and more models can’t fully replace using RAG.

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Jérôme DIAZ

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Posted

December 13, 2024

in

aimldsaimlds, artificial-intelligence, large-language-models, long-context, machine-learning, retrieval-augmented-gen

by

leeanne

Tags:

models, retrieval, why