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论文、财报、合同这类长文档,手动整理结构化信息真的太费时间。

论文、财报、合同这类长文档,手动整理结构化信息真的太费时间。 Hyper-Extract 用 LLM 直接把非结构化文本转成知识图谱,一条命令就能跑。 1️⃣ 支持超图,还能处理时间、空间关系 2️⃣ 80+ 领域模板,拿来就用 3️⃣…

This is a dev post classified by Jev as AI dev tools (a tool drop), kept by the Dev Radar because it carries real work, not commentary.

论文、财报、合同这类长文档,手动整理结构化信息真的太费时间。 Hyper-Extract 用 LLM 直接把非结构化文本转成知识图谱,一条命令就能跑。 1️⃣ 支持超图,还能处理时间、空间关系 2️⃣ 80+ 领域模板,拿来就用 3️⃣ 支持增量更新,知识可以持续积累 4️⃣ 能导出到 Obsidian,也支持本地运行 简单说,就是把“翻文档、摘信息、整理关系”这套活交给 AI。 🔗 https://github.com/yifanfeng97/hyper-extract

Posted by lumxss (24.7k followers) 2 days ago · 30 likes · 2.2k views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: hyper-extract.

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