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请问作者大大,如果在不考虑global search的情况下只提取entity和relationship的话,是否可以用一些传统模型来替代实体关系抽取的功能,还是说graphrag的重心是在知识图谱的构建过程(不考虑成本效率的话确实会有点倒行逆施的感觉,针对于summary,能不能通过一个pre-build的Kgs将其实体和关系导进去再做summary)
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可以的,微软最近新提出的LazyGraphRAG,实体&关系抽取就是用的NLP模型,没用LLM。 https://www.microsoft.com/en-us/research/blog/lazygraphrag-setting-a-new-standard-for-quality-and-cost/
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请问作者大大,如果在不考虑global search的情况下只提取entity和relationship的话,是否可以用一些传统模型来替代实体关系抽取的功能,还是说graphrag的重心是在知识图谱的构建过程(不考虑成本效率的话确实会有点倒行逆施的感觉,针对于summary,能不能通过一个pre-build的Kgs将其实体和关系导进去再做summary)
The text was updated successfully, but these errors were encountered: