Enterprises building multilingual search and RAG pipelines needing managed embedding and reranking.

Cohere provides hosted Embed and Rerank models that generate multilingual text embeddings and re-score retrieved documents for relevance.

Accessed via Cohere's API, AWS Bedrock, Azure AI, or Oracle OCI marketplaces.

Embed v4 and updated Rerank models released through 2026 alongside Cohere's Command model family.

It exists to give enterprises accurate, multilingual retrieval components that plug into existing RAG stacks.

Integrates with vector databases like Pinecone, Weaviate, and Elasticsearch's inference API.

SaaS, proprietary, requires an API key; usage-based per-token or per-search billing; enterprise deployment options include VPC; data sent to Cohere's cloud by default.