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paper-qa
High accuracy RAG for answering questions from scientific documents with citations
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python/uvpythonPythonsearchragscienceai
paper-qa is a Python tool that performs retrieval-augmented generation (RAG) to answer questions from scientific documents. It pairs answers with citations back to the source documents.
Use it when you need accurate, citation-backed answers drawn from scientific papers rather than generic LLM responses.
Use it to
- Answer questions over a corpus of scientific PDFs
- Generate cited answers for literature review
- Search scientific documents with RAG pipelines
- Integrate citation-grounded QA into research workflows
For Researchers and developers building scientific document QA systems
- Role
- rag
- Language
- Python
- Licence
- Apache-2.0
- Forks
- 919
- Open issues
- 132
- Last push
- 2026-09-17
- Latest release
- v0.0.1 · 2023-02-05
topicsragcitationsscientific-documentsquestion-answeringpythonsearch