Rerank is a powerful model that provides a semantic boost to search quality. It aims to refine enterprise search and retrieval with precise result ranking.

Key Features:

• Applies cross-attention for fine-grained ranking
• Fluent in 100+ global business languages
• Compatible with complex enterprise data
• Secure, scalable, and seamless deployment
• Easy integration with existing search pipelines

Use Cases:

• Improving response quality in AI agents
• Enhancing retrieval in workplace solutions
• Supporting intelligent agents with relevant context
• Boosting accuracy in RAG and agentic pipelines

Benefits:

• Reduces token use and minimizes latency
• Boosts accuracy of search results
• Reduces system load and compute costs
• Scales semantic retrieval into production