Vendor case study · Undated
Condé Nast moves to MongoDBMoved content recommendations from Elasticsearch pipelines to vector search on MongoDB Atlas
Moved tofrom ElasticVendor case studyMongoDB AtlasAtlas Vector SearchVoyage AI
Moved content recommendations from Elasticsearch pipelines to vector search on MongoDB Atlas
To manage this complexity, Condé Nast’s engineering team built three separate recommendation pipelines on Elasticsearch.
From Condé Nast Improves Content Recommendation: +35% CTR | MongoDB, mongodb.com.
From public case studies, filings and announcements. Vendors publish their own success stories; check the source.
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