Safety and MLOps
Feature store
A feature store manages reusable feature definitions and values for training and serving.
How it works
Shared definitions reduce training-serving skew. Point-in-time retrieval prevents future information from leaking into historical examples.
A concrete example
Illustrative: serve 120 features under 15 ms and reconstruct their values as of 2026-01-15.
Do not confuse it with Data warehouse
a warehouse stores analytical data broadly; a feature store specializes in model-ready features and serving consistency.