Document Re-ranking using LLMs - Advanced RAG

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#llms #rag #machinelearning

⏩ Paper Title: Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
⏩ Author: Zhen Qin, Rolf Jagerman, Kai Hui, Honglei Zhuang, Junru Wu, Jiaming Shen, Tianqi Liu, Jialu Liu, Donald Metzler, Xuanhui Wang, Michael Bendersky
⏩ Organisation: Google Research

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I am Prakhar Mishra and this channel is my passion project. I am currently pursuing my MS (by research) in Data Science. I have an industry work-ex of 4+ years in the field of Data Science and Machine Learning with a particular focus on Natural Language Processing (NLP).

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you are God-sent. i am literally cooking up my master’s thesis proposal covering RAG and in search of research papers. Thanks for these videos. keep them coming!!!

tombombadil

Interesting.... Thank you for sharing....🤝

himanshukumarsharma

Will it behave better than similarity matching between query and the context ?

saurabhghosh

Will the Re Ranking Approach help imporive RAG performance if i have 1 Million Documents to be ingested and retrived ?

sridattamarati

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