Future-House/paper-qa
High accuracy RAG for answering questions from scientific documents with citations
This tool helps researchers, scientists, and academics quickly find precise answers within a collection of scientific documents, such as PDFs or text files. You feed it your papers, and it provides accurate answers to your questions, complete with in-text citations to the original sources. This is ideal for anyone needing to extract specific information from a large volume of research literature.
8,264 stars. Used by 2 other packages. Actively maintained with 3 commits in the last 30 days. Available on PyPI.
Use this if you need to rapidly and accurately answer specific questions using information directly from a collection of scientific papers, ensuring all claims are backed by citations.
Not ideal if you're looking for a general-purpose search engine for web content or if your primary data source isn't scientific documents.
Stars
8,264
Forks
838
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
3
Dependencies
16
Reverse dependents
2
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