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LangExtract 2025企业指南：从文本到JSON的生产级数据提取方案

LangExtract is Google's official open-source Python library designed for extracting structured data (JSON, Pydantic objects) from text, PDFs, and invoices. Unlike standard prompt engineering, it's built for enterprise-grade extraction with three core advantages: precise grounding (mapping fields to source coordinates), schema enforcement (ensuring output matches Pydantic definitions), and model agnosticism (compatible with Gemini, DeepSeek, OpenAI, and LlamaIndex). This guide provides practical insights for Chinese developers on local configuration, cost optimization, and handling long documents. LangExtract是Google官方开源的Python库，专为从文本、PDF和发票中提取结构化数据（JSON、Pydantic对象）而设计。与普通Prompt工程不同，它为企业级数据提取打造，具备三大核心优势：精准溯源（字段可映射回原文坐标）、Schema强约束（保证输出符合数据结构）、模型无关性（兼容Gemini、DeepSeek、OpenAI及LlamaIndex）。本指南基于真实项目经验，涵盖国内环境配置、API成本优化和长文档处理技巧。

AI大模型2026/2/9

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数字无障碍设计指南：核心原则与技术实践2024

Search engine product updates significantly impact SEO strategies, requiring technical professionals to adapt through continuous monitoring, algorithm understanding, and user-centric optimization. (搜索引擎产品更新对SEO策略产生重大影响，要求技术专业人员通过持续监控、算法理解和以用户为中心的优化来适应变化。)

GEO技术2026/1/24

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堆糖平台合规指南：法律框架与用户资源全解析

This article provides a comprehensive learning roadmap and curated resources for beginners in data science, covering foundational concepts, essential tools, and practical applications. (本文为数据科学初学者提供了全面的学习路线图和精选资源，涵盖基础概念、核心工具和实际应用。)

互联网2026/1/23

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查询含义全解析：从语言到技术指令的2024指南

Grok-1 is an open-source large language model developed by xAI, featuring 314 billion parameters and a Mixture-of-Experts architecture. It demonstrates strong performance in reasoning, coding, and multilingual tasks while maintaining full transparency through open weights and documentation. (Grok-1是由xAI开发的开源大语言模型，拥有3140亿参数和专家混合架构。该模型在推理、编程和多语言任务中表现出色，并通过开放的权重和文档保持完全透明。)

GEO2026/1/23

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SEO大师之路：从Mozlow框架到结构化数据标记的完整指南

This comprehensive SEO guide covers the Mozlow hierarchy framework with 7 essential steps: crawl accessibility, compelling content, keyword optimization, user experience, share-worthy content, title/URL optimization, and schema markup. It provides structured learning from basics to advanced techniques with practical certification options. (本综合SEO指南涵盖Mozlow层次框架的7个关键步骤：爬虫可访问性、引人入胜的内容、关键词优化、用户体验、值得分享的内容、标题/URL优化和结构化数据标记。提供从基础到高级技术的结构化学习路径及实用认证选项。)

互联网2026/1/21

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