System and Method for Generating Query Variations of Retrieval Augmented Generation (RAG) Systems
卷宗概要
发明人
Laurent Boué; Yasmin Bokobza; Kiran Rama; Naveen Panwar
IPC 分类
CPC 分类
A method, computer program product, and computing system for processing a plurality of query-answer pairs associated with a generative artificial intelligence (AI) model. A first set of query variations are generated from the plurality of query-answer pairs using a genetic algorithm. A plurality of content portions associated with the first set of query variations are identified using a Retrieval Augmentation Generation (RAG) system. A fitness score associated with each of the query variations of the first set of query variations is determined using the plurality of content portions. A plurality of query variation-answer pairs are generated by generating a second set of query variations from the first set of query variations using the genetic algorithm and the fitness scores associated with each of the first set of query variations.
原文（中文）
A method, computer program product, and computing system for processing a plurality of query-answer pairs associated with a generative artificial intelligence (AI) model. A first set of query variations are generated from the plurality of query-answer pairs using a genetic algorithm. A plurality of content portions associated with the first set of query variations are identified using a Retrieval Augmentation Generation (RAG) system. A fitness score associated with each of the query variations of the first set of query variations is determined using the plurality of content portions. A plurality of query variation-answer pairs are generated by generating a second set of query variations from the first set of query variations using the genetic algorithm and the fitness scores associated with each of the first set of query variations.