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

Anum Afzal, Juraj Vladika, Gentrit Fazlija +2

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-ar…