The Enterprise Reference Implementation repo on GitHub provides a detailed comparison between a simple design for a conversation application and an enterprise conversation-based application architecture. The architecture consists of four main components: Ingress Data, Analyzer, Middleware, and Storage. The Simple Architecture is suitable for transactional use cases with real-time conversation analysis, while the Enterprise Architecture can handle more complex use cases, including aggregating insights from historical data and querying relationships between data points. The storage component requires scalable backend storage that can handle millions of conversations, with a 50/50 read/write access ratio. The Middleware component captures business rules and defines relationships between contextual insights, enabling real-time analytics and decision-making. The implementation is designed to be extensible, scalable, and adaptable to various programming languages and industries.