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
- September 8, 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
| Where | Type | Notes |
|---|---|---|
| Hugging Face | weights | MIT |
| FlagEmbedding | local | Reference implementation |
Used in solutions
Official sources
- Model card model
- Paper paper
Change log
- — Verified current. No bge-m4 exists; BGE-M3's successors are task-specific siblings rather than a new generation.
- — Initial entry.
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