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API models for enterprise retrieval and agents: Command generation, Embed representations and Rerank ordering.
TOOLORA / Local reading edition
Cohere
API models for enterprise retrieval and agents: Command generation, Embed representations and Rerank ordering.
Overview
Cohere provides models including Command for language generation, Embed for semantic representations and Rerank for retrieval ordering. Enterprises can combine them for Q&A, search and document understanding, alongside North, Compass and document-processing tools. Dedicated inference and private deployment options support applications built around internal enterprise information.
- Company country / region
- Canada / United States · Company headquarters
Access options
Company background
- Company website
- https://cohere.com/
- Founded
- 2019
- Founders
- Aidan Gomez · Nick Frosst · Ivan Zhang
- Business focus
- Develops enterprise language models, retrieval and reranking technology, and agent products for AI deployments on business data.
Related product news
News summaries are prepared by this site; open the title to read the original.
Cohere releases Embed 5 Pro and Fast with shared embeddings
Embed 5 offers Pro and Fast tiers for enterprise retrieval and RAG, supporting text, images and combined inputs. Both share an embedding space, allowing Pro indexing and queries with either tier without rebuilding the index for that switch. The release lists API and multiple deployment channels.
Cohere ↗Product profile →Official sources and references
- Official websitehttps://dashboard.cohere.com/
- Documentationhttps://docs.cohere.com/v2/docs/models
- Documentationhttps://docs.cohere.com/v2/reference/chat
- Pricing sourcehttps://cohere.com/pricing
Descriptions summarize public information; consult official websites for features, pricing and regional availability.