Tools2 min read
Microsoft's Bing Team Open-Sources Harrier, a Multilingual Embedding Model That Tops the MTEB v2 Benchmark
Microsoft's Bing search team has released Harrier as an open-source embedding model, and it tops the multilingual MTEB v2 benchmark while supporting over 100 languages. The release is significant not just for the benchmark numbers but for the source: a search team that has spent decades optimizing retrieval systems has built an embedding model for the exact use case — semantic search and retrieval — that underpins most production RAG applications.
D.O.T.S AI Newsroom2 min read
