Cohere Rerank
FreeBoost Enterprise Search and Retrieval with Precise Result Ranking
FreeFree tier
Inputs: text
About Cohere Rerank
Cohere Rerank is a precision reranking model designed to improve enterprise search and retrieval systems. It applies cross-attention to directly compare queries and documents, boosting the accuracy of RAG pipelines and agentic workflows. Rerank supports over 100 languages, handles complex data types like emails, tables, and JSON, and can be privately deployed in VPC or on-premises. With minimal latency and easy integration, it reduces token usage and enhances the quality of retrieved results. Available through Cohere's platform or cloud providers, Rerank is used in workplace AI tools like North and Compass.
Key Features
Applies cross-attention for fine-grained ranking between query and document
Fluent in 100+ global business languages for multilingual retrieval
Compatible with complex enterprise data including emails, tables, JSON, and code
Privately deployable in VPC or on-premises for full data privacy and security
Built for speed and scale with real-time reordering and minimal latency
Easy integration with existing search pipelines via few lines of code
Reduces token use and latency by passing only the most relevant documents into RAG systems
Pros & Cons
Pros
- Improves result quality through cross-attention ranking compared to embedding-only approaches
- Reduces token consumption and latency in RAG pipelines by filtering irrelevant documents early
- Supports over 100 languages for accurate multilingual retrieval
- Handles complex and semi-structured data types like emails, tables, JSON, and code
- Privately deployable in VPC or on-premises, giving enterprises control over data security
- Easy integration with existing search infrastructure via simple API calls
- Real-time reordering of retrieved results enables fast, accurate retrieval
Cons
- Relies on an initial retrieval step; does not perform first-stage document retrieval
- Production use requires a paid API key or dedicated model instance (free trial available)
- Performance may vary depending on the model tier and deployment environment
- Requires GPU infrastructure for optimal performance, though cloud and private deployment options mitigate this
Best For
AI Agents – guiding agents with leaner, more relevant contextRAG Accuracy – improving response quality in retrieval-augmented generationEnterprise Search – precision ranking for internal knowledge bases and workplace toolsMultilingual Retrieval – surfacing relevant results across language boundariesWorkplace AI (North, Compass) – enhancing search and discovery in Cohere's platformsIntelligent Agent Support – minimizing trace bloat and improving task execution
FAQ
How do I get a Trial API key?
When an account is created, a Trial API key is automatically generated and available on the Cohere dashboard. This key is free but rate-limited and not for production use.
What is the difference between a Trial API key and Production API key?
Trial API keys are free and rate-limited, intended for evaluation only. Production API keys are charged on a pay-as-you-go basis and designed for production use at scale.
Which Rerank model should I pick?
Model selection depends on your prioritization of performance versus speed. Larger models (e.g., Rerank 4 Pro Large) offer better performance, while smaller models (e.g., Rerank 4 Fast Medium) are faster. Evaluate different tiers against your use case.
How do I inquire about private deployment of Rerank?
Cohere supports private deployment of Rerank in your virtual private cloud (VPC) or on-premises environment. Custom pricing is available based on your enterprise needs; contact sales for details.