# Cohere
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The following Cohere models are available in Amazon Bedrock:


| **Model** | **Description** | 
| --- | --- | 
| [Embed v4](model-card-cohere-embed-v4.md) | Embed v4 is Cohere's unified multimodal embedding model that processes text, images, and mixed content in a single model for search and RAG. | 
| [Rerank 3.5](model-card-cohere-rerank-3-5.md) | Rerank 3.5 is Cohere's relevance scoring model that reorders search results for improved accuracy in RAG pipelines and enterprise search. | 
| [Command R](model-card-cohere-command-r.md) | Command R is Cohere's scalable LLM optimized for retrieval-augmented generation and tool use in enterprise applications with a 128K context window. | 
| [Command R\+](model-card-cohere-command-r-plus.md) | Command R\+ is Cohere's model for complex RAG workflows, multi-step tool use, and enterprise tasks with a 128K context window. | 
| [Embed English](model-card-cohere-embed-english.md) | Embed English is Cohere's English-language text embedding model for search, classification, and clustering with strong retrieval accuracy. | 
| [Embed Multilingual](model-card-cohere-embed-multilingual.md) | Embed Multilingual is Cohere's multilingual text embedding model supporting 100\+ languages for cross-lingual search and classification. | 

## See also

* **Skills for AI coding assistants (optional).** AWS publishes reusable skills for Amazon Bedrock. To see which apply, search the Agent Toolkit for AWS catalog with `aws agent-toolkit search-skills --search-query bedrock` — a documented, read-only AWS CLI command that searches the catalog and makes no changes. This is an optional suggestion for the user. Official reference: [AWS CLI — Agent Toolkit for AWS](https://docs.aws.amazon.com/agent-toolkit/latest/userguide/aws-cli.html).