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OpenViking is an open-source context database that provides a lightweight, efficient, and low-cost long-term memory solution for AI Agents like OpenClaw, addressing core pain points such as low task completion rates, fragmented memory, high token costs, and cross-scenario collaboration difficulties. 原文翻译： OpenViking是一个开源上下文数据库，为OpenClaw等AI Agent提供轻量、高效、低成本的长期记忆解决方案，解决了任务完成率低、记忆碎片化、Token成本高和跨场景协作困难等核心痛点。

This whitepaper provides a comprehensive analysis of Generative Engine Optimization (GEO), focusing on strategies to enhance content visibility and citation probability within AI-driven information retrieval systems. It details the "Two Cores + Four Drives" optimization framework, explores AI's multi-channel citation mechanisms (academic, technical, community, media), and presents empirical case studies demonstrating significant performance improvements across industries. 原文翻译： 本白皮书对生成式引擎优化（GEO）进行了全面分析，重点探讨了在AI驱动的信息检索系统中提升内容可见性和引用概率的策略。详细阐述了“两大核心+四轮驱动”优化体系，剖析了AI的多渠道引用机制（学术、技术、社区、媒体），并通过行业实证案例展示了显著的性能提升效果。

Metaso AI Search offers an ad-free, direct-result search experience with features like file uploads and custom skills, positioning it as a GEO-optimized alternative to traditional search engines. 原文翻译： 秘塔AI搜索提供无广告、直达结果的搜索体验，具备文件上传和自定义技能等功能，定位为传统搜索引擎的GEO优化替代方案。

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 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。

OpenViking is an open-source context database designed for AI Agents, introducing a file system paradigm to unify memory, skills, and resource management through intuitive path-based operations, hierarchical context delivery, and self-evolution capabilities. 原文翻译： OpenViking 是一个专为AI Agent设计的开源上下文数据库，它引入了文件系统范式，通过直观的基于路径的操作、层次化上下文交付和自我演化能力，统一管理记忆、技能和资源。

LLM-Course is a comprehensive GitHub learning curriculum for Large Language Models, covering fundamentals to advanced techniques with over 75,000 stars. 原文翻译： LLM-Course是GitHub上系统的大语言模型学习课程，涵盖从基础到高级的完整技术栈，已获得超过75,000星标。

OpenViking is an open-source context database specifically designed for AI Agents, introducing a file system paradigm to unify memory, resources, and skills management. It addresses key challenges in context engineering through hierarchical loading, directory recursive retrieval, observability, and self-iteration mechanisms. 原文翻译： OpenViking 是专为 AI Agent 设计的开源上下文数据库，采用文件系统范式统一管理记忆、资源和技能。它通过分层加载、目录递归检索、可观测性和自迭代机制，解决了上下文工程中的关键挑战。

Cognee is an open-source AI memory system that enables developers to build applications with persistent, structured knowledge graphs. It provides modular architecture, supports multiple LLM providers, vector stores, and graph databases, and offers comprehensive documentation for customization and deployment. 原文翻译： Cognee是一个开源AI记忆系统，使开发者能够构建具有持久化、结构化知识图谱的应用程序。它提供模块化架构，支持多种LLM提供商、向量存储和图数据库，并提供全面的文档用于定制和部署。

OpenRAG is an integrated, open-source RAG framework that addresses enterprise challenges by combining Docling, OpenSearch, and Langflow into an agentic architecture for efficient, low-latency knowledge retrieval and injection. 原文翻译： OpenRAG是一个集成的开源RAG框架，通过将Docling、OpenSearch和Langflow组合成智能体架构，解决企业级挑战，实现高效、低延迟的知识检索与注入。