Adaptive Learning Path Recommendation Engine Database

Create a high-performance database architecture for an adaptive learning recommendation system that can generate personalized learning paths in real-time. Design a schema that supports complex relationship tracking between student profiles, learning objects, performance metrics, and recommendation algorithms. Include strategies for managing machine learning model training data, implementing efficient graph-based relationship queries, and maintaining low-latency recommendation generation.