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Certificate of Completion
THIS ACKNOWLEDGES THAT
HAS COMPLETED THE SPRING 2024 DATA SCIENCE BOOT CAMP
XINYUAN LAI
Roman Holowinsky, PhD
MAY 01, 2024
DIRECTOR
DATE
TEAM
Improving RAG by Averaging
Qidu(Quentin) Fu, Gilyoung Cheong, Sixuan Lou, Junichi Koganemaru, Dapeng Shang, XINYUAN LAI
We implement a specific pipeline of Retrieval-Augmented Generation (RAG) for a question answering machine using SBERT developed by Nils Reimers and Iryna Gurevych based on Google's BERT. Experimentally, we show that the one we implement (averaging RAG) is better than the other baseline one (naïve RAG) in retrieval based on two reasonable relative performance metrics. In the retrieval process, we also apply K-Means Clustering to reduce the runtime significantly.
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