ModelRefs / Feature Store — AI Glossary
Feature Store — AI Glossary
A centralized system for storing, serving, and sharing ML feature transformations consistently between training and inference.
Overview
Feature stores (Feast, Tecton, Vertex AI Feature Store, Databricks Feature Store) solve the training-serving skew problem by computing features once and serving them to both training pipelines and online inference. For LLMs: less critical for text input but essential for tabular/retrieval features injected as RAG metadata.
Reference details
| Topic | infrastructure |
|---|---|
| Last reviewed | 2026-06-24 |
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Frequently asked questions
What is Feature Store?
A centralized system for storing, serving, and sharing ML feature transformations consistently between training and inference.
What concepts are related to Feature Store?
Closely related concepts include model registry, experiment tracking, retrieval pipeline.