Microsoft's Bing team open-sources "Harrier" embedding model
Microsoft just open-sourced Harrier. It tops the multilingual MTEB v2 benchmark across 100+ languages.

Why it matters
Microsoft is making a strategic move to democratize multilingual AI infrastructure by releasing a top-performing embedding model, signaling a shift toward open-source competition in the embedding space and potentially influencing how enterprises build multilingual search and retrieval systems.
The key facts
5 to knowMicrosoft Bing team developed Harrier embedding model
Open-sourced release (not proprietary)
Tops MTEB v2 benchmark
Supports 100+ languages
Multilingual focus
Go to the source
The Decoderthe-decoder.com
Publisher excerpt: Microsoft's Bing team open-sources Harrier, an embedding model that tops the multilingual MTEB v2 benchmark and supports more than 100 languages.