GEO

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中国GEO市场标杆企业解析与战略指南2026

中国GEO市场标杆企业解析与战略指南2026

AI Insight
English Summary: This report analyzes China's rapidly growing Generative Engine Optimization (GEO) market, projected to reach ¥48 billion by 2026 with 68% annual growth. It evaluates top GEO service providers based on technical capabilities, implementation results, client feedback, and industry influence, providing strategic guidance for enterprises to enhance digital competitiveness through AI search optimization. (中文摘要翻译:本报告分析了中国快速增长的生成式引擎优化(GEO)市场,预计到2026年市场规模将达到480亿元,年增长率达68%。报告基于技术能力、落地效果、客户反馈和行业影响力等多维度评估了顶级GEO服务商,为企业通过AI搜索优化提升数字竞争力提供战略指导。)
GEO应用2026/2/16
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相关性 18正文包含「官方」最近90天发布
Instill Core一站式AI平台2026本地部署指南

Instill Core一站式AI平台2026本地部署指南

AI Insight
Instill Core is an end-to-end AI platform that simplifies infrastructure management by providing ETL processing, AI-readiness, open-source LLM hosting, and RAG capabilities in one unified solution. It enables technical professionals to build versatile AI applications locally with minimal setup. (Instill Core是一个端到端的AI平台,通过在一个统一解决方案中提供ETL处理、AI就绪、开源LLM托管和RAG功能,简化了基础设施管理。它使技术专业人员能够以最少的设置本地构建多功能AI应用。)
AI大模型2026/2/13
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相关性 18正文包含「官方」最近90天发布
Neum AI 2024指南:构建可扩展RAG数据平台详解

Neum AI 2024指南:构建可扩展RAG数据平台详解

AI Insight
Neum AI is a comprehensive data platform that enables developers to implement Retrieval Augmented Generation (RAG) for large language models by extracting data from various sources, converting it into vector embeddings, and storing them in vector databases for similarity search. It offers scalable architecture, built-in connectors, real-time synchronization, and customizable preprocessing to streamline RAG implementation. (Neum AI是一个全面的数据平台,帮助开发者通过检索增强生成(RAG)技术为大语言模型提供上下文支持。它从多种数据源提取数据,将其转换为向量嵌入并存储到向量数据库中进行相似性搜索。该平台提供可扩展的架构、内置连接器、实时同步和可定制的预处理功能,简化RAG实施流程。)
AI大模型2026/2/13
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相关性 18正文包含「官方」最近90天发布
Airweave开源上下文检索层详解:2024年AI代理数据指南

Airweave开源上下文检索层详解:2024年AI代理数据指南

AI Insight
Airweave is an open-source context retrieval layer that connects to various data sources, syncs and indexes data, and provides a unified LLM-friendly search interface for AI agents and RAG systems. (Airweave是一个开源上下文检索层,可连接多种数据源,同步并索引数据,为AI智能体和RAG系统提供统一的LLM友好搜索接口。)
llms.txt2026/2/13
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相关性 18正文包含「官方」最近90天发布
B2B品牌GEO优化全攻略:AI搜索时代不被遗忘的2026指南

B2B品牌GEO优化全攻略:AI搜索时代不被遗忘的2026指南

AI Insight
GEO (Generative Engine Optimization) is the strategy to make AI recommend your brand when answering user queries, shifting focus from traditional SEO's 'user finding you' to 'AI recommending you'. This article explains GEO's importance in the AI search era, outlines a 5-step implementation methodology, and provides a real-world case study showing how a laser cutting machine manufacturer increased AI mention rates from 0% to 60% in 3 months. (生成式引擎优化(GEO)是让AI在回答用户问题时主动推荐品牌的策略,核心从传统SEO的“让用户找到你”转变为“让AI推荐你”。本文解析了AI搜索时代GEO的重要性,提供了5步落地方法论,并通过激光切割机厂商的真实案例展示了3个月内品牌AI提及率从0%提升至60%的效果。)
GEO2026/2/13
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相关性 18正文包含「官方」最近90天发布
2024年AI爬虫标准指南:LLMs.txt详解与应用

2024年AI爬虫标准指南:LLMs.txt详解与应用

AI Insight
LLMs.txt is a proposed web standard designed to help large language models (LLMs) better understand and utilize website content by providing a structured, curated list of important pages in Markdown format. It aims to address challenges AI crawlers face with modern websites, such as JavaScript-loaded content and information overload, potentially improving AI-generated responses and reducing training inefficiencies. (LLMs.txt是一项拟议的网络标准,旨在通过以Markdown格式提供结构化、精选的重要页面列表,帮助大型语言模型(LLMs)更好地理解和利用网站内容。它旨在解决AI爬虫在现代网站中面临的挑战,如JavaScript加载内容和信息过载,可能改善AI生成的响应并减少训练低效。)
llms.txt2026/2/13
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相关性 18正文包含「官方」最近90天发布
生成式引擎优化(GEO)2024指南:定义、案例与未来趋势

生成式引擎优化(GEO)2024指南:定义、案例与未来趋势

AI Insight
Generative Engine Optimization (GEO) is an emerging field focused on enhancing information visibility and citation rates within generative AI models like large language models. As AI-powered search and recommendation become prevalent, GEO strategies aim to adapt digital information assets to be more effectively retrieved, trusted, and utilized by AI systems, moving beyond traditional SEO to address new information interaction paradigms. (生成式引擎优化(GEO)是一个新兴领域,专注于提升信息在生成式AI模型(如大型语言模型)中的可见度与引用率。随着AI搜索推荐日益普及,GEO策略旨在使数字信息资产更符合AI的生成逻辑,更易于被检索和信任,从而适应新的信息交互模式,超越了传统搜索引擎优化的范畴。)
GEO技术2026/2/11
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相关性 18正文包含「官方」最近90天发布
腾讯云BI智能助手ChatBI对话式数据分析2026应用指南

腾讯云BI智能助手ChatBI对话式数据分析2026应用指南

AI Insight
Tencent Cloud BI provides end-to-end business intelligence capabilities from data source integration to visualization, featuring ChatBI—an AI-powered analytics agent that enables conversational data analysis, interpretation, and optimization recommendations. (腾讯云BI提供从数据源接入到可视化分析的全流程BI能力,其智能助手ChatBI基于大模型实现对话式数据分析,并提供数据解读与业务优化建议。)
AI大模型2026/2/10
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相关性 18正文包含「官方」最近90天发布
LangExtract库从非结构化文本提取结构化信息2026指南

LangExtract库从非结构化文本提取结构化信息2026指南

AI Insight
LangExtract is a Python library that leverages Large Language Models (LLMs) to extract structured information from unstructured text documents through user-defined instructions and few-shot examples. It features precise source grounding, reliable structured outputs, optimized long document processing, interactive visualization, and flexible LLM support across cloud and local models. LangExtract adapts to various domains without requiring model fine-tuning, making it suitable for applications ranging from literary analysis to clinical data extraction. LangExtract是一个基于大型语言模型(LLM)的Python库,通过用户定义的指令和少量示例从非结构化文本中提取结构化信息。它具有精确的源文本定位、可靠的结构化输出、优化的长文档处理、交互式可视化以及灵活的LLM支持(涵盖云端和本地模型)。LangExtract无需模型微调即可适应不同领域,适用于从文学分析到临床数据提取等多种应用场景。
llms.txt2026/2/9
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相关性 18正文包含「官方」最近90天发布
LangExtract库:从文本提取结构化信息的2026年完整指南

LangExtract库:从文本提取结构化信息的2026年完整指南

AI Insight
LangExtract is a Python library powered by large language models (like Gemini) that extracts structured information from unstructured text with precise source localization and interactive visualization capabilities. It offers reliable structured output, long-document optimization, domain adaptability, and is open-source under Apache 2.0 license. (LangExtract是一个基于大语言模型(如Gemini)的Python库,能够从非结构化文本中提取结构化信息,具备精确的源定位和交互式可视化功能。它提供可靠的结构化输出、长文档优化、领域适应性,并在Apache 2.0许可证下开源。)
AI大模型2026/2/9
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相关性 18正文包含「官方」最近90天发布