处理长文本时,最麻烦的往往不是让 AI 总结,而是把里面的关键信息准确抽出来。
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.
处理长文本时,最麻烦的往往不是让 AI 总结,而是把里面的关键信息准确抽出来。 Google 开源的 LangExtract,就是专门干这个的。 给它几个示例,它就能用 LLM 从非结构化文本里提取指定信息,而且每条结果都能对应回原文位置,方便检查来源。 几个实用点: ① 自动分块,支持长文档并行处理 ② 支持 Gemini、OpenAI,也能接本地 Ollama ③ 自带 HTML 可视化,提取结果直接在原文里高亮 ④ 不需要专门微调模型,给示例就能开始用 合同、报告、论文、小说这类长文本,都可以拿来试试。 🔗 https://github.com/google/langextract
Posted by lumxss (24.8k followers) 1 h ago · 3 likes · 304 views · view the original post on X. Kept by the Dev Radar as AI dev tools. Tools mentioned: langextract.
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