Original Summary

A full-stack Retrieval-Augmented Generation (RAG) platform that enables conversational Q&A over PDF documents. Built with a modular FastAPI backend, React (Vite) frontend, and LangChain, utilizing Google Gemini for intelligent chunking, semantic vector synthesis, and transparent page-level citations.

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：GitHub · AI 新项目
  • 发布时间：2026/9/26 23:11:44