Healthcare AI and Medical Devices RAG Pack

Every time you ask an AI a question, you're giving it a test. If it doesn't know the answer, it might just make one up. RAG (Retrieval-Augmented Generation) fixes this by giving the AI an open book. It can look up real sources, reference them, and cite its work.

A RAG pack is that open book. A curated, structured collection of source documents, pre-processed and ready to hand to your AI. Instead of hoping the model remembers the EU AI Act or the FDA's guidance on medical device software, you give it the actual text, organized so it can find exactly what it needs.

190 chunks from 13 sources spanning FDA, EMA, HHS, AHRQ, VA, CMS, GAO, and ONC. Covers AI-enabled device software, predetermined change control, SaMD, ML transparency, nondiscrimination, patient safety, and interoperability requirements.

Healthcare-specific metadata with cross-references linking to all other Anvil Index packs. Built for clinical decision support validation, regulatory submission assistants, health system AI governance, and compliance chatbots.

All sources US public domain or EU institutional publications. Commercial license included.