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Description
GreyMatter is a RAG-powered scientific discovery platform built for the Claude Solvathon hackathon. It transforms decades of dark matter research literature into living debates—retrieving, comparing, and transparently arguing across experiments with citations and uncertainty quantification. Using hybrid retrieval (dense embeddings + BM25), Claude-powered debate synthesis, and interactive consensus graphs, it makes cutting-edge astrophysics research accessible to both experts and the public.
Tech Stack
Next.js 15TypeScriptTailwind CSSAnthropic Claude AIGoogle Gemini AIPineconeLangChainPrisma ORMPostgreSQLBetter AuthVercel AI SDKGroqReact Graph Visshadcn/uiFramer Motion
Highlights
•Hybrid RAG retrieval combining dense embeddings with BM25 keyword search, optional cross-encoder reranking, and MMR diversification to avoid duplicate results
•Claude-powered debate synthesis generating expert summaries with methods and caveats, layperson analogies, embedded glossaries, and argument maps (supports/refutes/uncertain)
•Interactive consensus and contradiction graph visualization using React Graph Vis, mapping support, conflict, and uncertainty relationships across research papers
•Uncertainty quantification scoring each claim on source weight (peer-reviewed > preprint), recency, agreement count, method quality, and statistical strength
•Voice-powered research interface with text-to-speech synthesis, enabling hands-free exploration of dark matter literature and debate maps