Most AI extraction tools treat every document the same way. Upload a medical paper or a legal contract and you get the same generic entity types, the same vague relationships, the same disappointing graph. Chaos Cypher takes a different approach: it detects what kind of document you uploaded and adapts its entire extraction pipeline to match.
You upload four research papers to your RAG chatbot. You ask: "How does Dr. Chen's CRISPR research connect to the gene therapy trials at Stanford?" The chatbot thinks for a moment and gives you... a paragraph about CRISPR. Generic, shallow, pulled from whichever single chunk happened to mention the word. The actual answer -- that Chen published a paper on CRISPR delivery mechanisms, which was cited by a Stanford clinical trial for retinal gene therapy, which built on a funding collaboration between both institutions -- exists across three different documents. Your chatbot never even tried to find it.