Announcing Command-R, our new highly scalable enterprise language model.

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Build conversational apps with RAG

Cohere’s Retrieval Augmented Generation (RAG) toolkit allows LLMs to accurately answer questions and solve tasks using enterprise data as the source of truth

Give your technology language

Cohere’s world-class large language models (LLMs) help enterprises build powerful, secure applications that search, understand meaning and converse in text.

Command

Chat with RAG

Cohere’s Command lets you build powerful chatbots and knowledge assistants. Command uses RAG (Retrieval Augmented Generation) to deliver accurate conversations grounded by your enterprise data.

Embed

Powerful, accurate semantic search

Cohere’s Embed model allows enterprises to build powerful search solutions. Embed is the industry’s highest performing embedding model in English and over 100 other languages, ensuring relevant results.

Rerank

Search performance improvement

Rerank greatly improves the relevance of search results from existing lexical and semantic search tools, such as Elasticsearch, OpenSearch, or Solr, and is customizable by domain for better performance.

Accelerate the next wave of productivity

Today’s language models already show productivity gains in white-collar tasks of over 50%. The coming Intelligent Assistants will understand your enterprise data, giving your employees the tools to make decisions far more quickly than we can imagine today.

Source: MIT Shakked Noy / Whitney Zhang

The enterprise LLM

1

CUSTOMIZABLE MODELS

Cohere offers sophisticated customization (fine-tuning) tools and capabilities that give superior model performance at industry-leading inference cost


2

PERFORMANCE AND SCALABILITY

Cohere’s models are packaged with inference engines that deliver better runtime performance at a lower cost than open-source equivalents

3

FLEXIBLE DEPLOYMENT OPTIONS

Cohere models are accessible through a SaaS API, cloud services (e.g., OCI, AWS SageMaker, Bedrock), and private deployments (VPC and on-prem)

4

PRIVACY

Customer data is never used in training base models, and customers have complete control over customization and model inputs/outputs

LLM University

Curious about large language models?

LLM University offers an approachable and structured
 curriculum to get you speaking our language.