Cohere
Enterprise models for generation, embeddings, and reranking
Cohere is profiled here as a LLM tool for engineering teams. Read about features, pricing, and how it compares to related options in the tools directory.
Description
Cohere is an enterprise AI company founded in 2019 by Aidan Gomez, a co-author of the original transformer paper, together with Nick Frosst and Ivan Zhang. Its Command, Embed, and Rerank model families target business retrieval and generation, producing grounded answers with citations over private data. Models deploy through Cohere's API, the major cloud marketplaces, customer VPCs, or fully on-premises environments. The company also operates Cohere Labs, its research arm, which maintains the multilingual Aya model family with open weights for research use.
Key Capabilities:
Command generative models with citation-grounded RAG output
Embed multilingual and multimodal embeddings for retrieval
Rerank models that raise search precision over existing indexes
North platform for deploying enterprise AI agents
Fine-tuning for domain-specific model variants
Private deployment across VPC, on-premises, and air-gapped environments
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