朝向最佳检索与获取的研究

Nov, 2024

Toward Optimal Search and Retrieval for RAG

Alexandria Leto, Cecilia Aguerrebere, Ishwar Bhati, Ted Willke, Mariano Tepper...

TL;DR本研究针对检索增强生成（RAG）中检索器和阅读器之间的关系进行探讨，旨在优化检索器以提高常见任务（如问答）的性能。通过实验证明，降低检索精度对RAG的性能影响较小，但可以提高检索速度和内存效率，为开发高性能RAG管道提供了重要的见解。

Abstract

Retrieval-Augmented Generation (RAG) is a promising method for addressing some of the memory-related challenges associated with Large Language Models (LLMs). Two separate systems form the RAG pipeline, the retrie