Cohere Embed v3 is an enterprise-grade embedding model optimized for retrieval, classification, and clustering tasks. Supporting 100+ languages with multi-task embedding capabilities, it's the ideal choice for enterprise search and RAG applications.
Core Features
- Multilingual: 100+ languages
- Multi-task: searchdocument, searchquery, classification, clustering
- High Performance: Top MTEB rankings
- Long Context: 512 tokens
- Compression: int8 quantization support
Performance
- MTEB Average: 64.5+ score
- Cross-lingual: High accuracy
- Classification: Excellent F1 scores
- Clustering: Accurate semantic clustering
Use Cases
- Semantic search in enterprise knowledge bases
- RAG system document embedding
- Text classification and labeling
- Similarity computation for deduplication
- Clustering analysis for topic discovery
Pricing
- Trial: Free quota
- Pay-as-go: $0.10/1M tokens
- Enterprise: Custom plans
Summary
Cohere Embed v3 is the preferred commercial embedding model with enterprise-grade performance and multilingual support. Multi-task optimization and cost-effectiveness make it suitable for applications of all scales.
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