AI Data Privacy and Cross-Border Compliance 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.

111 chunks from 6 sources covering the fastest-moving area of AI compliance: US state AI privacy laws and EU cross-border requirements. Sources include Colorado SB 24-205, Texas HB 149, California SB 53, EDPB-EDPS Joint Opinion 1/2026, EU AI Act privacy articles with GDPR interaction mapping, and CISA 2025 SBOM Minimum Elements.

Privacy-specific metadata with 13 controlled vocabulary values for obligation type, plus jurisdiction, data_category, affected_party, and regulatory_pathway fields. Cross-references link to Governance and Security packs.

Built for privacy compliance agents, cross-border regulatory analysis, and legal research assistants. Commercial license included.