BGE-M3

BAAI · 2024 · Embeddings · China

A to Z

A · App: No
B · Built By: BAAI
C · CEO & Politics: N/A (research institute) — Not publicly documented (PRC-based; operates under Chinese regulatory environment)
D · Date: 2024
E · Expertise: Intermediate+
F · Free Tier: Yes
G · Generates: Text only
H · Deployment: Cloud + Local (open weights)
I · Inputs: Text
J · Jurisdiction: China
K · Key Staffers: Jianlv Chen (Lead author), Shitao Xiao (Co-lead author), Zheng Liu (Corresponding author), Defu Lian (Corresponding author)
L · Languages: Chinese-primary
M · Model Type: Embeddings
N · Safety Issues: None reported
O · Open Source: Yes — open weights
P · Pricing: Free (open weights, MIT)
Q · AIDb Rating: [UNKNOWN]
R · What Makes It Special: BAAI's BGE-M3 embedding model, which performs dense, multi-vector and sparse retrieval in one model, works in more than 100 languages and handles inputs from short sentences up to 8,192 tokens.
S · Stock / Status: N/A (research)
T · Training Cutoff: [UNKNOWN]
U · Users: [UNKNOWN]
V · Voice Chat: No
W · Weights: Downloadable
X · X Handle: [UNKNOWN]
Y · Year Founded: [UNKNOWN]
Z · Bottom Line: Open-weights Embeddings from BAAI, released 2024.

Data completeness 81% · Last verified 2026-05-12 · Primary source ↗

“BGE-M3.” AIDb — The AI Database. Verified 2026-05-12. https://theaidatabase.com/m/bge-m3.html