RERANK

Refine your enterprise search and retrieval with precise result ranking

Rerank passes only the most relevant documents into your RAG pipeline and agentic workflows — reducing token use, minimizing latency, and boosting accuracy.

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Trusted by industry leaders and developers worldwide

The precision filter at the end of your retrieval pipeline

From improving response quality to feeding AI agents higher-signal inputs, Rerank delivers accurate retrieval ranking at enterprise scale.

AI Agents
RAG Accuracy
Upgraded Search

Support intelligent agents

Guide AI agents with leaner, more relevant context — minimizing trace bloat and improving task execution.

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Cohere Team - Dec 11, 2025

Introducing Rerank 4: Cohere’s most powerful reranker yet

Cohere Team - Jul 24, 2024

Introducing Rerank 3 on Microsoft Azure AI

Sylvie Shi, Chris Kim - Jul 05, 2023

How to Boost Wikipedia Search with Rerank

Designed for the realities of enterprise retrieval

Rerank adapts to the messiness of real-world queries and data — prioritizing the most relevant results with speed and accuracy.

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Applies cross-attention for fine-grained ranking

Compare query and document directly — improving result quality for complex, under-specified queries.

Fluent in 100+ global business languages

Surface relevant results across language boundaries with accurate retrieval from international and multilingual datasets.

Compatible with complex enterprise data

Rank multi-aspect and semi-structured docs — like emails, tables, JSON, and code — with the same precision as long-form text.

Secure. Scalable. Seamless.

Privately deployable: Deploy Rerank in your virtual private cloud (VPC) or on-premises environment for full control over data privacy and security. Also available through Cohere’s platform or trusted cloud providers.
Built for speed and scale: Reorder retrieved results in real time with high accuracy and minimal latency — reducing compute costs in RAG systems by passing fewer, more relevant documents to your generative model.
Easy to integrate: Add precision to existing search pipelines with just a few lines of code — no heavy setup or system changes required.

Enhancing retrieval in workplace solutions

See how Rerank adds precision to our workplace AI tools — North and Compass.

North

Powered by Command, Compass, Embed, and Rerank, North helps you transform the way you work with secure AI agents, advanced search, and leading generative AI - all in one place.

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Compass

Unlock the potential of your data with an intelligent search and discovery system that doesn't compromise on security.

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Deployed and delivering — See what global teams are saying about Rerank

“The driving force behind Atomicwork's digital workplace experience solution is Cohere's Rerank model and Azure AI Studio, which powers Atom AI, our digital assistant, with the precision and performance required to deliver real-world results.”

— Vijay Rayapati, CEO, Atomicwork

Atomicwork featured image: Business people walking through a large convention center with bright overhead lights

“The driving force behind Atomicwork's digital workplace experience solution is Cohere's Rerank model and Azure AI Studio, which powers Atom AI, our digital assistant, with the precision and performance required to deliver real-world results.”

— Vijay Rayapati, CEO, Atomicwork

Ready to refine your retrieval pipeline?

Talk to our team to learn how Rerank can help you improve result quality, reduce system load, and scale semantic retrieval into production.

Evaluate how Rerank can improve accuracy and efficiency across your existing retrieval stack
Explore how Rerank, Embed, and Command can work together in RAG and agentic pipelines
Determine the best deployment model for your infrastructure and privacy requirements
Get help adding Rerank to your stack — no major setup or system changes needed