📄 中文摘要
构建 RAG（检索增强生成）系统时，需要干净的文本而非原始 HTML。使用 CheerioCrawler 可以轻松实现这一目标。通过移除网页中的噪音元素，如脚本、样式、导航、页脚、头部、侧边栏、广告和无脚本标签，能够有效提取主要内容。主要内容通常位于文章标签、主角色或内容类中。该方法确保获取的文本适合后续处理和分析，提升了 RAG 系统的性能和准确性。
从任何网页提取干净文本以用于 RAG 流水线
出处: Extract Clean Text from Any Webpage for RAG Pipelines
发布: 2026年3月18日
📄 English Summary
Extract Clean Text from Any Webpage for RAG Pipelines
When building Retrieval-Augmented Generation (RAG) systems, clean text is essential rather than raw HTML. A straightforward approach using CheerioCrawler can achieve this. By removing noisy elements from the webpage, such as scripts, styles, navigation, footers, headers, sidebars, ads, and noscript tags, one can effectively extract the main content. The primary content is typically found within article tags, main roles, or content classes. This method ensures that the extracted text is suitable for further processing and analysis, enhancing the performance and accuracy of RAG systems.