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。
Gemini is Google DeepMind's largest and most capable AI model, designed for efficient operation across devices from data centers to mobile. It outperforms GPT-4 in most tasks and comes in three versions: Ultra for complex tasks, Pro for general use, and Nano for on-device applications. (Gemini是谷歌DeepMind开发的最大、能力最强的人工智能模型,可在数据中心到移动设备上高效运行。在多数任务上表现优于GPT-4,提供Ultra、Pro和Nano三个版本,分别适用于复杂任务、通用场景和端侧应用。)
Gemini 3 is Google DeepMind's latest AI model featuring state-of-the-art reasoning, multimodal understanding, and intelligent agent capabilities. It excels in programming, scientific analysis, and complex task execution with a 1M token context window and multilingual support. (Gemini 3是谷歌DeepMind推出的新一代人工智能模型,具备顶尖推理能力、多模态理解和智能代理功能。它在编程、科学分析和复杂任务执行方面表现卓越,拥有100万token上下文窗口并支持100多种语言。)