MongoDB Design Patterns: Foundations for AI Applications 2026 (Part 1 of 2)
MongoDB revolutionizes AI application development through schema flexibility that enables rapid iteration without costly migrations. In this first part, we explore 4 foundational patterns tested in production: Polymorphic for heterogeneous multi-modal data, Extended Reference for optimized retrieval, Bucket for high-frequency time-series, Document Versioning for ML model management. Each pattern includes practical implementations, real code examples, benefit/ challenge analysis, specific use cases. In Part 2 we’ll dive into advanced patterns and production-grade best practices.
