Optimize Search with Rerank from Cohere

Rerank is a powerful solution for enhancing search and retrieval quality in enterprise environments. It ensures precise result ranking by passing only the most relevant documents into your RAG pipeline and agentic workflows. This not only reduces token usage but also minimizes latency while boosting accuracy.

With Rerank, you can improve response quality and provide AI agents with higher-signal inputs. The system adapts to the complexities of real-world queries and data, delivering fast and accurate result ranking. It applies cross-attention for fine-grained ranking, allowing direct comparison between queries and documents, thus enhancing result quality for complex and underspecified queries.

Moreover, Rerank supports over 100 global business languages, enabling relevant results from international and multilingual datasets. It is compatible with complex enterprise data such as emails, tables, and JSON, ensuring the same precision as with long-form texts.

Rerank can be deployed in a virtual private cloud or on-premises environment, providing full control over data privacy and security. Built for speed and scale, it allows real-time reordering of retrieved results with high accuracy and minimal latency, reducing compute costs in RAG systems.

Integrating Rerank into existing search pipelines is easy and requires just a few lines of code. This solution is already being utilized in workplace AI tools like North and Compass, helping to transform the way work is done with secure AI agents and advanced search capabilities.