Future-House / paper-qa
High accuracy RAG for answering questions from scientific documents with citations
Why this job: says: rag; topics: rag
What it does
PaperQA2 is a package for doing high-accuracy retrieval augmented generation (RAG) on PDFs, text files, Microsoft Office documents, and source code files, with a focus on the scientific literature. See our recent 2024 paper to see examples of PaperQA2's superhuman performance in scientific tasks like question answering, summarization, and contradiction detection.
Get started
pip install paper-qa>=5- Maintenance
- Active
- Last commit 15 days ago
- Stars
- 9,572
- +31 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2026.08.12
- Released 3 months ago
- Built with
- Python
- 86% of the code
Is it looked after?
- Contributors
- 2
- Last 90 days
- Issues
- 65% closed
- 134 still open
- Pull requests
- 804 merged
- 24 waiting
- Releases
- 169
- 10 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| neuml / rag | 466 | 5 months ago | Apache-2.0 | No downloads |
| phonny40rowle / rag-search | 51 | 5 days ago | Apache-2.0 | No downloads |
| Build5Nines / SharpVector | 146 | 5 months ago | MIT | No downloads |
More: languages, topics and project record
Languages
- Python 86%
- HTML 14%
Topics
- ai
- rag
- search
- science
Project record
- JobRAG and search
- StatusListed
- Commits939
- Forks953
- Watching61
- Stars in 28 days+218
- CreatedFeb 5, 2023
- First seen by usNov 7, 2026
- CheckedNov 10, 2026