LightRAG 简单快速的检索增强生成
- https://arxiv.org/html/2410.05779?_immersive_translate_auto_translate=1
代码
- https://github.com/HKUDS/LightRAG
摘要
Retrieval-Augmented Generation (RAG) systems enhance large language models (LLMs) by integrating external knowledge sources, enabling more accurate and contextually relevant responses tailored to user needs. However, existing RAG systems have significant limitations, including reliance on flat data representations and inadequate contextual awareness, which can lead to fragmented answers that fail to capture complex inter-dependencies. To address these challenges, we propose LightRAG, which incorporates graph structures into text i