HelloTech
Apr 12, 2023 · Artificial Intelligence
Integrating Machine Learning Ranking into Elasticsearch: Architecture, Components, and Performance
The team embedded a full machine‑learning ranking pipeline as an Elasticsearch plug‑in—combining real‑time and offline feature stores, hot‑loadable model jars via Dragonfly, an MLeap execution engine, and a DSL for feature definition—replacing the coarse‑ranking logistic‑regression with a tree model that adds ~10 ms latency but yields a 1.2 % AB‑test lift, while maintaining high throughput, low CPU usage, and supporting future batch deep‑learning rescoring.
Model Deploymentelasticsearchfeature engineering
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