Cohere Command & Embed in Amazon Bedrock

Command R+ is Cohere's most advanced large language model, designed specifically for real-world enterprise applications. Command R+ balances efficiency and accuracy, empowering businesses to move beyond proof-of-concept and start utilizing AI in day-to-day operations. It supports 10 key business languages and excels at retrieval-augmented generation (RAG) use cases.

Command R is a powerful and versatile language model designed for businesses. It supports 10 languages and excels at long-context tasks, making it ideal for global enterprises. With a focus on efficiency and accuracy, Command R is optimized for RAG use cases. It adeptly handles text-generation tasks and is well-suited for full-scale AI implementation in enterprises.

Cohere Embed is a powerful embedding model that offers cutting-edge performance in over 100 languages. This innovative model can map text to a semantic vector space, bringing together texts with similar meanings. With this capability, developers can enhance search applications and results that deal with noisy data and improve retrieval accuracy for any RAG systems.

With a context window of up to 128K tokens, the Command R models understand and generate responses within a broad context, making them ideal for complex workflows with large document ingestion, relevant citations with advanced retrieval, and tool use.

The Command R models have the capability for multilingual generation across 10 key business languages including: English, French, Spanish, Italian, German, Portuguese, Japanese, Korean, Arabic, and Chinese.

Command R+ supports multi-step tool use which allows the model to combine multiple tools over multiple steps to accomplish difficult tasks. The model can even correct itself when it tries to use a tool and fails, enabling the model to make multiple attempts at accomplishing the task and increasing the overall success rate.

Command R models are designed to enhance productivity by seamlessly integrating generative AI capabilities into everyday apps and workflows. Businesses can now streamline their processes and improve overall efficiency, leading to better business outcomes. With Command R+, enterprises can unlock new possibilities and elevate employee and customer experiences.

Cohere instills robust data privacy measures, allowing customers to retain complete control over their data. From customization to model inputs and outputs, businesses can rest assured that their sensitive information remains secure and under their supervision.

Using RAG with Cohere models, an investment platform built an AI assistant for its clients to ask complex questions and get synthesized answers across financial reports, analyst research, investor call transcripts, and other data.

Using RAG with Cohere models, a CRM SaaS company built a tech support AI assistant to provide conversational responses to common queries based on product docs and internal knowledge bases.

Cohere partnered with a financial services company to create a seamless solution using Command and Embed with RAG. This enables leaders and managers to ask complex questions, retrieving data from previously inaccessible data sources. The models work together to break tasks and data retrieval into multiple steps for more accurate responses.

A customer deployed Command to summarize multi-modal files, including PowerPoint decks, notes, PDFs, and more. They trained the model using previous contract negotiation materials and summaries created by skilled global procurement staff.

Cohere worked with a global consultancy to build a custom RAG solution using Cohere's Command and Embed models. Consultants can now ask questions and get rapid, accurate answers with citations from an intelligent assistant.