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

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 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.

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. 

 

We offer multiple hosting options to give you full control over data security and privacy, with private cloud, secure cloud partners (AWS, Oracle, Google), and Cohere’s managed cloud as options.

Our language models are performant out-of-the-box, but we offer 

 (fine-tunes) that make your models work for any use case, domain or industry.

We understand that building apps based on language models is new, so we offer industry leading support. Over 98% of questions are answered by our 

 responds to customers in less than a minute

SaaS

supporting

time to get started

benefits

limitations

pricing structure

Best for


Get started with LLMs instantly through Cohere's Software as a Service (SaaS) platform, all without managing backend infrastructure.


Private Deployments

Compute and infrastructure management required

Organizations with strict data residency requirements

Need for maximum control and customization

Organizations dealing with sensitive or customer data

Bring Cohere's models into your own infrastructure, whether in the cloud or on-premises. Maintain a high level of security and control over sensitive information.

For ultimate customization and control over security

Cloud AI Platforms

Deployment depends on cloud provider features

Companies seeking easy integration with cloud service

Use Cohere's models through a variety of platforms such as Amazon SageMaker, Amazon Bedrock, OCI Generative AI, etc.



For running Cohere’s models across cloud AI platforms

Cohere provides industry-leading large language models (LLMs) and RAG capabilities, tailored to meet the needs of enterprise use cases that solve real-world problems.

We charge differently for input and output tokens. You are charged based on the sum of tokens processed.

Each text (input) classified counts as one classification. You are not charged for examples provided.

Embeddings perform best when the text to be embedded is less than 512 tokens. You can create up to 96 embeddings per API call.

We charge differently for input and output tokens. You are charged based on the sum of tokens processed. Only Command Light is available for fine-tuning at this moment. Fine-tuning inference costs will be the same as our base models.

We count a single search unit as a query with up to 100 documents to be ranked. Documents longer than 510 tokens when including the length of the search query will be split up into multiple chunks, where each chunk counts as a singular document. Fine-tuning inference costs will be the same as our base models.

Build conversational apps with RAG

Give your technology language

Chat with RAG

Powerful, accurate semantic search

Search performance improvement

Accelerate the next wave of productivity

The enterprise LLM