BGE M3
flagshipcurrently routing · 4.2k rpm
8K tokens
Context
open
License
/ ABOUT
The bge-m3 embedding model encodes sentences, paragraphs, and long documents into a 1024-dimensional dense vector space, delivering high-quality semantic embeddings optimized for multilingual retrieval, semantic search, and large-context applications.
Providers for BGE M3
1 routes · sorted by uptimeClosedRouter routes requests to the providers best able to handle your prompt size and parameters, with automatic fallbacks to maximize uptime.
Provider
Context
Quant
Uptime · 30d
