Databricks Vector Search

Eurowings Delivers Real-Time Travel Insights with Databricks

Eurowings, a Lufthansa Group subsidiary, migrated to a unified data platform called Minerva, built on Databricks with a medallion architecture, to replace siloed data systems. It implemented semantic search on eurowings.com using Databricks AI Search and Model Serving, replacing keyword-based search. The change delivered a 109% lift in search relevance, improved recall from 50% to over 75%, and cut search latency from six seconds to under two seconds. MLflow is used to manage the model lifecycle, with Model Serving acting as a single endpoint for testing different embedding models.

EurowingsDatabricks Vector Search · Model Serving · MLflow