AI models are dynamic assets, constantly evolving. Effective version control is crucial for reproducibility, governance, and seamless deployment. This article dives deep into building AI model registry systems, exploring their architecture, core components, and best practices. Discover how a robust registry can streamline your MLOps workflows, ensuring models are tracked, managed, and deployed with confidence.