📄 中文摘要
当前构建 AI 文档聊天机器人的方式存在缺陷。大多数系统采用 RAG 方法，将文档拆分为块，创建嵌入并通过相似性搜索检索答案。尽管在演示中效果良好，但在实际应用中常常失败，容易遗漏明显的答案或选择错误的上下文。为了解决这些问题，出现了一种新的方法，即 PageIndex，它可能在构建文档聊天机器人方面提供更有效的解决方案。
PageIndex 与传统 RAG：构建文档聊天机器人的更好方法
出处: PageIndex vs Traditional RAG: A Better Way to Build Document Chatbots
发布: 2026年3月21日
📄 English Summary
PageIndex vs Traditional RAG: A Better Way to Build Document Chatbots
The current approach to building AI document chatbots is flawed. Most systems utilize RAG, which involves splitting documents into chunks, creating embeddings, and retrieving answers through similarity search. While this method performs well in demos, it often fails in real-world applications, missing obvious answers or selecting the wrong context. To address these issues, a new approach called PageIndex has emerged, potentially offering a more effective solution for constructing document chatbots.