paper-qa and Rag-based-quiz-generator
These are complements: paper-qa provides the foundational RAG infrastructure for accurately retrieving and citing content from scientific documents, while the quiz generator builds on top of RAG capabilities to transform that same document retrieval into an assessment generation use case.
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-based-quiz-generator
SanskrutiPadamatintiwar/Rag-based-quiz-generator
A RAG-based quiz generation platform that creates MCQs and fill-in-the-blank questions from user-provided documents or trusted external sources using an LLM.
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