Machine learningDeep Learning, Language Models, Knowledge Graphs
GraphRAG
GraphRAG是一种检索增强生成方法,它通过知识图谱增强大型语言模型,以提高答案质量和事实准确性。GraphRAG不是检索扁平的文本段落,而是构建并查询从文档中提取的结构化知识图谱,为语言模型提供丰富的上下文信息。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Gao, Y., Xiong, Y., Gao, X., Jia, K., Pan, J., Bi, Y., Dai, Y., Sun, J., & Wang, M. (2023). Retrieval-augmented generation for large language models: A survey. arXiv preprint arXiv:2312.10997. link ↗
如何引用本页
ScholarGate. (2026, June 3). Graph-based Retrieval-Augmented Generation. ScholarGate. https://scholargate.app/zh/deep-learning/graphrag
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
Compare side by side →