RAG for researchers: page-level citations from your personal library, LLM access via MCP. Ask your entire archive, get answers with the intelligence of leading AI.
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数据Python · Jupyter NotebookGitHub @kasssandr自行安装运营者未确认
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正在加载完整 README。 以下为已保存的摘录。
A privacy-first RAG system that brings semantic search to your personal research library. Works with Calibre, Zotero, Obsidian vaults, and plain folders. Built for scholars, researchers, and anyone with a serious book collection.
Full codebase reviewed with Claude Fable 5 — the entire codebase underwent a complete code review in June 2026.查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
A privacy-first RAG system that brings semantic search to your personal research library. Works with Calibre, Zotero, Obsidian vaults, and plain folders. Built for scholars, researchers, and anyone with a serious book collection.
Full codebase reviewed with Claude Fable 5 — the entire codebase underwent a complete code review in June 2026.查看完整 README ↗