Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data

no code implementations • 13 Nov 2024 • Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes

Given the growing trend of many organizations integrating Retrieval Augmented Generation (RAG) into their operations, we assess RAG on domain-specific data and test state-of-the-art models across various optimization techniques.

In-Context Learning Language Modeling +3