Cyberax AI Playbook
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Model · BAAI · Embeddings

BGE-M3

BAAI's multi-functional embedding model. Supports dense, sparse, and multi-vector retrieval in one model — the strongest open-weights embedding option.

Modality
Embeddings
License
MIT (Open)
Parameter size
568M
Context window
8,192 tokens
Released
January 30, 2024
Last verified
May 10, 2026
Runs locally
Yes

Strengths

  • MIT license, fully self-hostable
  • 100+ language support
  • Three retrieval modes (dense, sparse, multi-vector) from one model

Weaknesses

  • Heavier than smaller embedding models — needs a GPU for high throughput
  • Less polished than commercial options at the highest quality bar

Try it

WhereTypeNotes
Hugging Face weights MIT
FlagEmbedding local Reference implementation

Used in solutions

Change log

  • — Initial entry.