Infrastructure

Feature Store

A centralized repository for storing, managing, and serving machine learning features. Feature stores enable feature reuse, ensure consistency between training and serving, and accelerate ML development.

Related terms

MLOps
Operational practices for machine-learning systems — data pipelines, model training pipelines, feature stores, drift monitoring, retraining. Precursor discipline to LLMOps; still relevant for traditional ML systems that run alongside GenAI.

Also referenced: Feature Engineering, Data Pipeline.

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Feature Store is part of the Infrastructure vocabulary used in the Generative AI Maturity Framework. See the full glossary for the complete set of 149 defined terms, or take the free maturity assessment to see where your organisation stands.

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