From Knowledge Graph Generation to RAG for Stablecoin Regulatory Intelligence

Stablebridge is an ambitious project aiming to create comprehensive regulatory intelligence systems for the stablecoin market, focusing on the complex landscape of regulations across US and EU jurisdictions. The project explores the use of Knowledge Graph-based Retrieval Augmented Generation (KG-RAG) systems and traditional RAG systems, employing SurrealDB to manage the intricate web of regulatory information with speed and precision. The KG-RAG system, leveraging knowledge graphs generated by kg-gen, offers faster and more precise reasoning but faces challenges with entity extraction and relationship quality, while the traditional RAG system, inspired by the MUVERA approach, provides more reliable and broader coverage, albeit at a slower pace. The study underscores the potential of hybrid systems that combine the strengths of both approaches for optimal performance in navigating the evolving stablecoin regulatory environment, thereby supporting Stablebridge’s mission to deliver robust regulatory intelligence.