Future-House/paper-qa

Health v2 · maintenance only

Adoption not part of the score

9103 stars · 913 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

PaperQA2 is a Python library and CLI for high-accuracy retrieval augmented generation (RAG) over PDFs, text, Office documents, and source code, focused on scientific literature. It answers questions with inline citations and supports agentic or manual document indexing and querying.

Use cases

• answer questions from scientific papers with citations
• build a RAG pipeline over PDFs
• summarize scientific literature
• detect contradictions across papers
• search and query a corpus of research documents
• run literature question answering from the command line

When to choose

• you need cited, high-accuracy QA over scientific PDFs
• you want a Python RAG library tuned for academic literature
• you need agentic document querying with local or hosted LLMs

When to avoid

• you need a general-purpose chatbot without document grounding
• you want a no-code hosted research platform rather than a library
• your documents are not text-extractable (e.g., scanned images without OCR)

Facets

library · maturity active

rag search-engine llm-inference pdf nlp large-language-models pdf python cli cross-platform paperqa2 scientific-literature citations question-answering pdf-qa retrieval-augmented-generation natural-language-processing science

Member repositories

For agents

markdown · JSON · MCP: product_card(name="Future-House/paper-qa")