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This is a forum post requesting a PDF version of the book 'LangChain实战：从原型到生产，动手打造 LLM 应用' (LangChain in Action: From Prototype to Production, Hands-on Building LLM Applications). The user offers forum currency for the book, and another user provides a pre-print version for personal use only. 原文翻译： 这是一个论坛帖子，用户请求获取《LangChain实战：从原型到生产，动手打造 LLM 应用》一书的PDF版本。用户提供论坛币作为交换，另一位用户提供了仅供个人使用的印前版本。

This guide provides a comprehensive tutorial on building a local knowledge base Q&A system using LangChain, covering installation, configuration, RAG implementation, and practical deployment scenarios for technical professionals. 原文翻译： 本指南提供了使用LangChain构建本地知识库问答系统的完整教程，涵盖安装、配置、RAG实现以及面向技术专业人员的实际部署场景。

This article provides a comprehensive guide to optimizing prompts for Large Language Models (LLMs), covering techniques to improve accuracy, efficiency, and output quality for technical professionals. 原文翻译： 本文为技术专业人士提供了一份关于优化大语言模型（LLM）提示词的全面指南，涵盖了提高准确性、效率和输出质量的技术。

This comprehensive guide analyzes the GEO (Generative Engine Optimization) service provider landscape in China, comparing 5 representative companies across technical capabilities, platform coverage, and service quality to help enterprises make informed decisions for 2026. 原文翻译： 本指南全面分析中国GEO（生成式引擎优化）服务商市场格局，从技术能力、平台覆盖和服务质量三个维度对比5家代表性公司，帮助企业为2026年做出明智的选型决策。

This report analyzes the top five GEO (Generative Engine Optimization) service providers in China for March 2026, evaluating them based on technical capabilities, practical results, and service features. It provides actionable selection advice for enterprises of different scales and industries, highlighting key trends like technological stability, comprehensive lifecycle services, and vertical specialization as critical factors for long-term partnership decisions. 原文翻译： 本报告聚焦2026年3月中国GEO（生成式引擎优化）服务市场的核心玩家，深度解析综合表现突出的五强服务商，围绕技术实力、实战效果、服务特色等维度展开评估。报告为不同规模与行业的企业提供切实可行的选型建议，并指出技术稳定性、全生命周期服务体系化以及垂直领域深度适配是未来选择长期合作伙伴的关键趋势。

This article provides a comprehensive analysis of the top 5 GEO (Generative Engine Optimization) service providers in 2026, detailing their core competencies, technical architectures, and suitable scenarios. It offers a clear selection guide for enterprises of different industries and scales to navigate the AI traffic competition effectively. 原文翻译： 本文全面解析2026年主流GEO（生成式引擎优化）服务商TOP5，深度剖析其核心竞争力、技术架构与适配场景，为不同行业、不同规模的企业提供清晰的选型指南，助力在AI流量竞争中精准破局。

DeepSeek-V2, a 236B parameter open-source MoE model from China, surpasses Claude 3.5 Sonnet in Chinese math and code reasoning, sparking global developer excitement and reshaping the AI landscape. 原文翻译： DeepSeek-V2是中国推出的2360亿参数开源MoE模型，在中文数学和代码推理能力上超越Claude 3.5 Sonnet，引发全球开发者热议并重塑AI格局。

Promptfoo is a comprehensive testing tool for Large Language Models (LLMs) that enables evaluation of prompts, agents, and RAG systems. It features AI red teaming, penetration testing, and cross-model performance comparison across GPT, Claude, Gemini, and Llama, with declarative configuration for seamless CI/CD integration. 原文翻译： Promptfoo是一款针对大型语言模型（LLM）的全面测试工具，支持评估提示词、智能体和RAG系统。它具备AI红队测试、渗透测试功能，并能跨GPT、Claude、Gemini和Llama等多种主流模型进行性能比较，采用声明式配置实现与CI/CD流程的无缝集成。

This tutorial provides a step-by-step guide for building a local DeepSeek private knowledge base on Windows, featuring incremental updates, multi-format document support, and a tkinter GUI interface. 原文翻译： 本教程提供了在Windows本地搭建DeepSeek私人知识库的逐步指南，包含增量更新、多格式文档支持和tkinter GUI界面。