Built an offline air-gapped clinical knowledge engine synthesizing 15 million patient records and biomedical research papers for 3,000 oncologists with verifiable medical citations.
Physicians were spending up to 3 hours daily sifting through unstructured medical charts and drug trial literature, causing cognitive burnout and delayed treatments.
An on-premise private RAG system powered by fine-tuned Llama 3 70B, high-dimensional vector search, and strict citation tracking that highlights the exact paragraph of medical source evidence.
Fuses keyword precision with vector conceptual search for 98%+ recall accuracy.
Combines Knowledge Graphs (Neo4j) with vector embeddings for multi-hop reasoning across complex entity relationships.
This is the first AI tool our physicians actually trust. The citations are indisputable and instant.
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