The answer is buried in thousands of papers. Generic chatbots make things up.
A working solution built on our production RAG architecture — papers, trials, andguidelines indexed and citation-linked. Document-grounded. Every answertraceable to source.
Retrieval-Augmented Generation — an AI pattern where the model retrieves relevant passages before generating an answer, so responses are grounded in your library, not invented.
Every answer is generated against retrieved passages and linked back to them as citations. The model is constrained to source content — if relevant passages don't exist, it declines instead of inventing.
No. Generic chatbots draw on their training data. This RAG layer answers only from documents you've indexed — your protocols, your library, your sources of truth. Every claim is citation-traceable.
