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.
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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