Retrieval-Augmented Generation (RAG)
Michael Klesel, H.F. Wittmann
Goethe University Frankfurt Hessian Agency for Nature Conservation, Environment and Geology Frankfurt University of Applied Sciences
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摘要与影响
The necessity for information is a fundamental aspect of human nature, and as such, there are ongoing efforts to enhance information retrieval with information systems (Alavi and Leidner 2001 ; Alavi et al. 2024 ). Companies are particularly affected by this, as they have extensive data at their disposal, and employees need to access it. Unfortunately, current systems are not able to adequately meet employees’ expectations. In fact, studies have shown that 79% of employees are dissatisfied with the user interfaces of enterprise search systems (Cleverley and Burnett 2019 ). This has led to a need for new approaches that can better address the information needs of organizations.
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计算机 / AITopic Modeling
Machine Learning and Algorithms · Domain Adaptation and Few-Shot Learning
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