Retrieval-Augmented Generation for Technical Intelligence in Aerospace and Defense Systems
Retrieval-Augmented Generation for Technical Intelligence in Aerospace and Defense Systems
Abstract
Description
Keywords
Large Language Models, Retrieval-Augmented Generation, NLP, Domain-Specific Question Answering, Vector Similarity Search
Fields of Science
0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology
Citation
WoS Q
Scopus Q
Volume
Issue
Start Page
1
End Page
5
