Paper Qa
High accuracy RAG for answering questions from scientific documents with citations
About
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.
Open Source Health
- Stars
- 9,196
- Forks
- 916
- License
- Apache-2.0
- Last commit
- 1 months ago
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FutureHouse
Open-source project on GitHub: Paper Qa
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