BGE-M3
BAAI multi-granularity multilingual embedding with dense + sparse
Verdict
Unique hybrid model supporting dense, sparse, and ColBERT retrieval in one model. 100+ languages, 8K context. Best open-source choice for multilingual RAG systems.
Other Embedding Models
- Cohere Embed v3Production
Multilingual embedding model optimised for search and RAG
- E5-Mistral-7BStable
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- GTE-Qwen2Experimental
Alibaba's embedding model with strong CJK language support
- Jina Embeddings v3Stable
8K context multilingual embedding with task-specific LoRAs
- Mixedbread EmbedExperimental
Emerging high-quality embedding model from Berlin-based lab
- Nomic Embed v1.5Stable
Fully open-source embedding model with Matryoshka support

