
如何使用LangExtract构建知识图谱?2025年Google开源工具实战指南 | Geoz.com.cn
LangExtract is Google's open-source programmatic extraction tool that transforms unstructured text into structured, traceable data with character-level offsets. It enables efficient long-document processing, multi-round extraction for recall, and direct structured output, reducing traditional RAG overhead. This guide demonstrates building a knowledge graph chatbot using Streamlit, Agraph, and LangExtract with dynamic few-shot template selection. LangExtract是Google开源的程序化抽取工具,可将非结构化文本转化为可追溯的结构化数据,通过字符偏移实现高亮验证。它支持长文档分块并行处理、多轮抽取保证召回率,并直接生成结构化结果,减少传统RAG流程开销。本文演示了使用Streamlit、Agraph和LangExtract构建知识图谱聊天机器人,实现动态few-shot模板选择和实体关系并行抽取。
AI大模型2026/2/12
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