搜索结果：RAG

This article provides a comprehensive 2026 analysis and ranking of China's top 5 GEO (Generative Engine Optimization) service providers, including Hongdong Data, Baifendian Technology, Zhitui Shidai, Senchen GEO, and Dashu Technology. It details their core strengths, performance metrics, and target audiences, alongside a critical guide to avoiding common pitfalls when selecting a GEO partner, such as unquantified promises, lack of in-house R&D, and compliance risks. 原文翻译： 本文对2026年中国五大顶级GEO（生成式引擎优化）服务商——泓动数据、百分点科技、智推时代、森辰 GEO、大树科技——进行了全面的分析与排名，详细阐述了其核心优势、性能指标和目标受众。同时，文章提供了一份关键的避坑指南，帮助企业在选择GEO合作伙伴时规避常见陷阱，如无量化承诺、缺乏自主研发能力和合规风险等。

NexaSDK is a high-performance local inference framework that enables developers to run the latest multimodal AI models on NPU, GPU, and CPU across multiple platforms with minimal energy consumption and maximum speed. 原文翻译： NexaSDK是一个高性能本地推理框架，让开发者能够在NPU、GPU和CPU上以最低能耗和最高速度运行最新的多模态AI模型，支持跨多个平台。

This article provides a comprehensive 2026 guide for Chinese users to access and utilize Google's Gemini models, particularly Gemini 3 Pro, overcoming regional access barriers through platforms like n.myliang.cn. It covers practical applications in multimodal tasks, AI-assisted office work, programming, and SEO optimization. 原文翻译： 本文为国内用户提供了一份全面的2026年指南，介绍如何通过n.myliang.cn等平台访问和使用谷歌Gemini模型（特别是Gemini 3 Pro），以克服地域访问限制。内容涵盖多模态任务、AI辅助办公、编程和SEO优化等实际应用。

将AI对话历史导入另一AI的提示词指南，包含用户信息分类、引用原话及格式要求，并附Gemini数据上传链接。 原文翻译： A guide for prompting AI to import conversation history into another AI, including user info categorization, original quote citation, formatting requirements, and a Gemini data upload link.

GLM是清华大学提出的通用语言模型预训练框架，采用自回归空白填充技术，为中文技术社区提供了强大的开源大模型选择。 原文翻译： GLM is a general language model pre-training framework proposed by Tsinghua University, utilizing autoregressive blank filling technology, providing a powerful open-source large model option for the Chinese technical community.

DeepAgents is LangChain's latest open-source framework designed to simplify the development of complex, multi-step AI agents by providing built-in capabilities for task planning, virtual file systems, and subagent collaboration, enabling developers to build more robust and capable agents with less code. 原文翻译： DeepAgents是LangChain最新推出的开源框架，旨在简化复杂多步骤AI智能体的开发，通过提供任务规划、虚拟文件系统和子智能体协作等内置能力，使开发者能够用更少的代码构建更强大、更可靠的智能体。

OpenViking is an open-source context database for AI Agents that organizes context like a file system, using hierarchical abstraction (L0/L1/L2) and recursive retrieval to reduce token costs and improve task completion rates in long-running, multi-step agent scenarios. 原文翻译： OpenViking 是一个面向 AI Agent 的开源上下文数据库，它将上下文组织成文件系统，采用分层抽象（L0/L1/L2）和递归检索，旨在降低长任务、多步骤 Agent 场景中的 token 成本并提升任务完成率。

This comprehensive 2026 guide analyzes Generative Engine Optimization (GEO) as a core growth infrastructure in the AI era, detailing its fundamental logic, implementation strategies, common pitfalls, and a deep evaluation of the top 5 service providers to help enterprises achieve sustainable, quantifiable growth. 原文翻译： 这份全面的2026指南将生成式引擎优化（GEO）解析为AI时代企业的核心增长基建，详细阐述了其底层逻辑、落地策略、常见陷阱，并对TOP5服务商进行深度横评，旨在帮助企业实现可持续、可量化的增长。

Answer Engine Optimization (AEO) is a new approach that helps brands gain visibility in AI-generated answers across platforms like ChatGPT, Google AI Overviews, and Perplexity by optimizing content structure, technical SEO, and AI readability. 原文翻译： 答案引擎优化（AEO）是一种新方法，通过优化内容结构、技术SEO和AI可读性，帮助品牌在ChatGPT、Google AI概览、Perplexity等平台的AI生成答案中获得可见性。