Flowchart Updated 7/12/2026

ML Pipeline Architecture

Flowchart of an end-to-end ML pipeline showing data sources flowing into a raw data lake, ingestion, and a feature store, then training to a model registry and serving API for apps and users, with monitoring and drift feedback loops.

ml pipelinefeature storemodel servingtrainingmodel registrymonitoring
9 nodes 11 connections

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