aahepburn/RAG-Assistant-for-Zotero
An open‑source desktop RAG application that enables semantic search across your Zotero library. Easily discover conceptually related papers and ideas within your PDF collection using local or cloud‑based LLMs. The app provides source attribution, metadata filtering, and seamless integration with Zotero to support deeper, more efficient research.
This desktop application helps researchers, academics, and students quickly find specific information within their Zotero PDF library. You input natural language questions, and it delivers answers directly from your papers, complete with citations and page numbers. It's designed for anyone managing a large collection of research documents who needs to efficiently extract and verify information.
Use this if you need to semantically search your personal Zotero PDF library, get cited answers to your research questions, and explore connections between papers without manually sifting through documents.
Not ideal if your Zotero library consists primarily of scanned PDFs without searchable text (OCR), or if you only need basic keyword search functionality.
Stars
76
Forks
2
Language
Python
License
—
Category
Last pushed
Mar 05, 2026
Commits (30d)
0
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