paper-qa and DeepRag
These are competitors offering different implementations of RAG systems for PDF question-answering, with paper-qa targeting high-precision scientific document citation tasks while DeepRag provides a more accessible Streamlit interface for general PDF chat applications.
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 DeepRag
jaicdev/DeepRag
DeepRag is a Streamlit app that lets you chat with your PDF documents using advanced RAG techniques. Upload any PDF and ask questions to get concise, accurate answers extracted directly from the document content.
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