Mouse Research Intelligence
Knowledge graph platform built from mouse genetics literature
In progress ReactViteTypeScriptHonoMongoDBSQLitePrismaLLM extraction
Ingests papers from PubMed, Europe PMC, MGI, UniProt, ChEMBL, and other biomedical sources, then uses an LLM to extract sourced facts about genes, diseases, and drugs into a MongoDB knowledge graph. Every fact keeps a receipt back to its paper and quote, and every quote is checked against the source text before it's trusted, so researchers can verify AI-read findings rather than take them on faith.
- Ingestion pipeline across ten public sources (PubMed, Europe PMC, PubTator, MGI, UniProt, Gene Ontology, Reactome, ChEMBL, Disease Ontology) with raw payloads landed in SQLite before deterministic shaping into MongoDB
- LLM-driven fact extraction with quote verification against source text, confidence scoring, and multi-pass re-reads that stop once no new facts are found
- Conflicting evidence is kept and flagged rather than silently resolved, so contradicting papers stay visible for a human to weigh
- Investigation workspaces with a human-in-the-loop verification queue for AI-extracted quotes, gap detection, and entity bookmarking