As AI evolves, the choice isn't just between supermassive context windows and retrieval-augmented generation (RAG)—it's about leveraging RAG for enterprise success. Despite the perks of larger context windows, they bring increased costs and latency. RAG, however, remains
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HireBorderless RAG-Powered Legal AI Assistant with Cohere
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Learn about the @hireborderless success story in our upcoming webinar on April 30 at 2pm ET! Discover how RAG technology within Cohere’s Command R and Embed model helped them develop a cutting-edge legal AI assistant for global employment. Register here: https://
info.cohere.ai/building-a-rag
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Automate Enterprise Workflows with Cohere Command R+
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Automate your enterprise workflows with Cohere's multi-step tool use. Our generative model Command R+ excels at leveraging external tools to execute complex tasks to streamline business operations. Get started today!
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Cohere Compass: Enterprise Embedding Model for Multi-Aspect Data
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Announcing the private beta of our newest foundation embedding model, Cohere Compass: designed specifically for multi-aspect data like emails, invoices, CVs, and support tickets to offer superior enterprise search capabilities. Sign up to try it out!
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Legal Tech Sector Set to Exceed $45B by 2030 with GenAI
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Poised to exceed $45 billion by 2030, the legal tech sector is rapidly leveraging the value of GenAI with retrieval-augmented generation (RAG). From redefining efficiency across research, document management, horizon scanning, and more to innovations in multilingual applications
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Company Recognized on Forbes AI 50 List Third Year
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We’re honored to be recognized in @Forbes AI 50 list for the 3rd year in a row! Our incredible team will continue to ship enterprise-grade AI solutions to enable global businesses to move into production!
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Cohere hiring: Join our AI team with open roles
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Come join us, we have some great open roles: https://
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Cohere Rerank 3 Now Natively Supported in Elastic
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We are excited to announce that Rerank 3 is supported natively in @elastic
’s Inference API starting today. To start building enterprise search systems with Cohere and Elastic, check out the latest guide: -
Rerank 3 Improves RAG Efficiency While Reducing Costs Significantly
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An increasingly common approach for RAG is using generative LLMs to prioritize information from large sets of documents. Rerank 3 provides a better solution, outperforms on ranking accuracy while being between 90-98% less expensive.
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Rerank 3 Achieves 2-3x Speed Improvement in Inference Performance
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Rerank 3 is extremely efficient, offering state-of-the-art throughput with a 2-3x improvement in inference speed compared to prior models. We understand that in many business domains, such as customer support, quality results need to be delivered quickly.