RAG and GenAI for Regulated Sectors

What this post added

This post details the application of event streaming (Kafka) to build a secure, compliant Retrieval-Augmented Generation (RAG) system for regulated sectors. It outlines a streaming RAG ML pipeline that uses Change Data Capture (CDC) for real-time data ingestion from databases, a governance layer for PII masking, schema enforcement via a schema registry, and tokenization. It also describes secure vector index retrieval with Context Scoping, LLM integration with safety guardrails, and an observability layer for response provenance. The post contrasts batch RAG with real-time streaming RAG, highlighting the latter's advantages in data freshness, compliance timing, audit complexity, and policy enforcement for regulated environments.