Cohere Embed v3
Commercial text embedding model from Cohere with multilingual support and 1,024-dimensional vectors. Optimized for semantic search and retrieval tasks. This is a commercial API service with pay-per-use pricing.
About this tool
Overview
Cohere Embed v3 is a text-only embedding model that generates 1,024-dimensional vectors for semantic search and retrieval applications. Available in both English-only and multilingual variants.
Key Features
- High-Quality Embeddings: Optimized for search and retrieval tasks
- Multilingual Support: Supports 100+ languages in multilingual variant
- 1,024 Dimensions: Dense vector representations
- Production-Ready: Enterprise-grade API with high availability
- Multiple Deployment Options: Available via Cohere API, AWS Marketplace, Azure Marketplace
Pricing
API Pricing
- Embed v3: $0.10 per million tokens
- Embed v4 (newer): $0.12 per million tokens (text), $0.47 per million image tokens
Free Tier
- Trial API Key: 1,000 free API calls per month
- Rate Limits: 5 calls/minute for Embed, 20 calls/minute for Chat
- Access to all models including Command R+, Rerank 3.5, and Embed 4
Billing
- Pay-as-you-go for Production keys
- Monthly billing or when reaching $250 in outstanding balances
- Priced based on tokens embedded
Model Variants
- embed-english-v3.0: English-only model
- embed-multilingual-v3.0: 100+ language support
Cloud Marketplace Availability
- AWS Marketplace: Self-service deployment
- Azure Marketplace: Managed service options
Use Cases
- Semantic search applications
- Document retrieval systems
- RAG pipelines
- Content recommendation
- Clustering and classification
API Access
Available through:
- Cohere REST API
- Python SDK
- Node.js SDK
- Cloud marketplace deployments
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