paper-qa and rag-qa

These are competitors in the PDF-RAG-QA space, with paper-qa offering a specialized, production-ready solution for scientific documents with citation tracking, while rag-qa provides a more general-purpose, containerized alternative for broader document Q&A use cases.

paper-qa
77
Verified
rag-qa
27
Experimental
Maintenance 20/25
Adoption 12/25
Maturity 25/25
Community 20/25
Maintenance 0/25
Adoption 6/25
Maturity 9/25
Community 12/25
Stars: 8,264
Forks: 838
Downloads:
Commits (30d): 7
Language: Python
License: Apache-2.0
Stars: 20
Forks: 3
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
No risk flags
Stale 6m No Package No Dependents

About paper-qa

Future-House/paper-qa

High accuracy RAG for answering questions from scientific documents with citations

Implements agentic RAG with iterative query refinement and LLM-based re-ranking, automatically enriches documents with metadata (citations, journal quality) from Semantic Scholar and Crossref, and supports multiple document formats (PDFs, text, code, Office files) with full-text search via tantivy. Integrates with any LiteLLM-supported model provider and offers local embedding alternatives, enabling deployment without proprietary APIs.

About rag-qa

ruankie/rag-qa

RAG-QA is a free, containerised question-answer framework that allows you to ask questions to your documents in an intuitive way

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