paper-qa and msmarco-genqa
These are complements: paper-qa provides a complete production-ready RAG system for scientific documents, while msmarco-genqa demonstrates core RAG components (BM25 retrieval, FAISS indexing, reranking) that could be integrated into or compared against paper-qa's architecture.
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 msmarco-genqa
GioiaZheng/msmarco-genqa
RAG-based search question answering system on MS MARCO with BM25 retrieval, FAISS indexing, and transformer reranking.
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