AI-Enhanced Personalized Learning Trajectory Database

Develop an advanced machine learning database using Pinecone vector search that generates hyper-personalized learning trajectories based on semantic understanding of student learning styles, cognitive patterns, and historical performance. Create a schema that supports multi-dimensional learner profiling and dynamically adaptive content recommendations. Implement a real-time inference engine that can generate learning paths with 90%+ relevance accuracy.