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Lightfeed Extractor is a TypeScript library that enables robust web data extraction using LLMs with natural language prompts, featuring HTML-to-markdown conversion, structured data extraction with Zod schemas, JSON recovery, and integration with Playwright and browser agents for production data pipelines. 原文翻译： Lightfeed Extractor 是一个 TypeScript 库，利用大语言模型通过自然语言提示进行稳健的网页数据提取，具备 HTML 转 Markdown、基于 Zod 模式的结构化数据提取、JSON 恢复功能，并能与 Playwright 和浏览器代理集成，适用于生产数据管道。

RAG Web UI is an open-source intelligent dialogue system that enables users to build custom knowledge base Q&A systems using RAG technology, supporting multiple LLM deployments and document formats. 原文翻译： RAG Web UI是一个开源的智能对话系统，允许用户使用RAG技术构建自定义知识库问答系统，支持多种LLM部署和文档格式。

使用专用卸载工具或手动清理注册表及残留文件，彻底移除OpenClaw，解决其导致的系统卡顿与资源占用问题。 原文翻译： Use dedicated uninstaller tools or manually clean the registry and residual files to completely remove OpenClaw, resolving the system lag and resource consumption issues it causes.

As traditional SEO declines with the rise of zero-click searches, GEO (Generative Engine Optimization) has become crucial for 2026 marketing. This article explains GEO's core logic of becoming a trusted AI knowledge source and provides practical optimization methods, including content distribution, structured formatting, and authoritative validation. It also profiles three leading Chinese GEO service providers with their unique strengths. 原文翻译： 随着零点击搜索的兴起，传统SEO逐渐式微，GEO（生成式引擎优化）已成为2026年营销的关键。本文阐述了GEO成为AI可信赖知识源的核心逻辑，并提供了包括内容分发、结构化格式和权威验证在内的实用优化方法。同时，还介绍了三家具有独特优势的中国领先GEO服务商。

RAG-Anything is an all-in-one multimodal RAG system that processes documents containing text, images, tables, and formulas. It features end-to-end processing pipelines, knowledge graph indexing, and c

This article explains how to optimize content for Generative Engine Optimization (GEO) in the DeepSeek ecosystem, focusing on making content model-friendly through structured formats, consistent knowl

Legal RAG Bench, a new benchmark for legal RAG systems, reveals that information retrieval, not reasoning, is the primary performance driver. The Kanon 2 Embedder model outperforms competitors by 17 points on average, and most 'hallucinations' are actually triggered by retrieval failures. 原文翻译： 法律RAG Bench是一个新的法律RAG系统基准测试，揭示了信息检索（而非推理）是性能的主要驱动因素。Kanon 2 Embedder模型平均比竞争对手高出17分，大多数“幻觉”实际上是由检索失败触发的。

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.

This guide outlines four proven GEO methods for 2026: configuring AI-specific protocols like llms.txt, structuring core content with Schema markup, implementing entity co-occurrence strategies, and optimizing content for long-tail prompts to capture high-intent leads. 原文翻译： 本指南概述了2026年四种经过验证的GEO方法：配置AI专属协议（如llms.txt）、使用Schema标记结构化核心内容、实施实体词共现策略，以及优化内容以匹配长尾指令，从而捕获高意向客户。

This comprehensive guide explains Retrieval-Augmented Generation (RAG) as a solution to large language models' knowledge cutoff and hallucination issues, detailing its five-generation evolution, pract