
PageIndex:开源无向量RAG系统,重塑长文档精准检索
PageIndex is an open-source, vector-free Retrieval-Augmented Generation (RAG) system developed by VectifyAI. It addresses accuracy issues in long-document retrieval by constructing hierarchical tree-like indexes that mimic human document processing logic, enabling precise retrieval based on reasoning rather than vector matching. It supports features like chunk-free processing and visual retrieval, making it suitable for professional scenarios such as financial reports, academic papers, and legal documents, and can be deployed via self-hosting or cloud services.
PageIndex 是由 VectifyAI 开发的开源、无向量检索增强生成(RAG)系统。它通过构建层级树状索引模拟人类处理文档的逻辑,基于推理而非向量匹配实现精准检索,解决了传统向量数据库在长文档检索中依赖语义相似性导致的准确性问题。它支持无分块处理、视觉检索等功能,适用于金融报告、学术论文、法律文档等专业场景,可通过自托管或云服务快速部署使用。
AI大模型2026/1/27
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