Cohere Embed English Light v3
flagshipCohere Embed English Light v3 is a lightweight English text embedding model optimized for fast, cost-effective vector generation. It produces high-quality embeddings suitable for semantic search, text classification, and clustering, while being significantly faster and cheaper than the full v3 model.
The model generates compact vector representations that capture semantic meaning effectively, supporting use cases in RAG pipelines, recommendation systems, and content similarity analysis. It's designed for high-throughput applications where embedding cost is a key concern.
Embed English Light v3 is recommended for production search and retrieval systems processing large volumes of English text.
Providers for Cohere Embed English Light v3
1 routes · sorted by uptimeClosedRouter routes requests to the providers best able to handle your prompt size and parameters, with automatic fallbacks to maximize uptime.
