About Cohere
Cohere ships production LLMs (Command R+) and best-in-class embeddings for enterprise search and RAG. Strong privacy and on-prem options. Cohere stands out for generative language models, intelligent search and discovery, speech recognition, and machine translation.
Cohere is a paid tool from Cohere, founded by Aidan Gomez and launched on 2019-06-01. It sits in the Coding and Research space and is best used to Investment team acceleration, Back-office automation, Customer service operations.
Pricing
Embed 5 Fast Small$3.00/hour or $2,000/month
Embed 5 Fast Medium$5.00/hour or $3,250/month
Embed 5 Pro Small$3.00/hour or $2,000/month
Embed 5 ProCustom
NorthCustom
- Intuitive interface
- Purpose-built generative models
- Intelligent search
- AI agents for routine tasks and complex workflows
CompassCustom
- Pre-built data connectors
- Intelligent search
- Document parsing
- Managed index
Features
- •Generative language modelsBuilt-in support for generative language models — used for investment team acceleration.
- •Intelligent search and discoveryBuilt-in support for intelligent search and discovery — used for investment team acceleration.
- •Speech recognitionBuilt-in support for speech recognition — used for investment team acceleration.
- •Machine translationBuilt-in support for machine translation — used for investment team acceleration.
- •Document parsingBuilt-in support for document parsing — used for investment team acceleration.
- •Semantic embeddingsBuilt-in support for semantic embeddings — used for investment team acceleration.
- •Retrieval optimizationBuilt-in support for retrieval optimization — used for investment team acceleration.
- •Private deployments and Model VaultBuilt-in support for private deployments and model vault — used for investment team acceleration.
AI Models used
The foundation models that power Cohere under the hood.
Flagship large language model for enterprise applications including text generation, summarization, and complex reasoning tasks.
Text embedding model for semantic search, clustering, and similarity matching across enterprise documents.
Specialized ranking model that improves retrieval accuracy by reordering search results based on relevance.
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