Healthcare Network Cuts Compliance Query Time 94% with RAG Knowledge Base

We built a Retrieval-Augmented Generation (RAG) knowledge base specifically designed for healthcare compliance: Document Ingestion Pipeline: Processed and indexed 8,500+ documents including HIPAA regulations, CMS manuals, state-specific healthcare laws, Joint Commission standards, and MedAlliance's 340 internal policies. Used advanced chunking strategies with semantic overlap to preserve regulatory context. Multi-Modal RAG Architecture: Implemented hybrid retrieval combining dense vector search (for semantic understanding) with BM25 keyword search (for exact regulation numbers and legal citations). Added a re-ranking layer using cross-encoder models to ensure the most relevant passages surfaced first. Citation-Backed Responses: Every AI answer included exact source citations—regulation numbers, policy document names, page numbers, and effective dates. Staff could verify any answer with one click, building trust in the system. Role-Based Access: Nurses, billing staff, administrators, and physicians each saw answers tailored to their role and facility. A billing question from Facility 3 automatically considered that location's specific payer contracts and state regulations. Continuous Learning Loop: The compliance team could flag and correct AI responses, which automatically fine-tuned retrieval relevance. New regulations and policy updates were ingested within 24 hours of publication.