

Rerank 3
Overview :
Rerank 3 is a new foundational model optimized for enterprise search and retrieval-augmented generation (RAG) systems. It supports multilingual and multi-structured data search, provides high-precision semantic ranking, significantly improves response accuracy and latency, and greatly reduces the overall cost of ownership. Rerank 3 can be seamlessly integrated into any database or search engine and supports seamless integration with existing applications' native search functionality.
Target Users :
Enterprise Search & Retrieval-Augmented Generation (RAG) Systems
Use Cases
Use Rerank 3 to perform high-precision search and retrieval of complex information within an enterprise, including emails, reports, contracts, and financial data.
Integrate Rerank 3 into enterprise applications to enhance existing search functionality and improve user experience.
Utilize Rerank 3 in retrieval-augmented generation systems to perform fast and efficient semantic ranking of large volumes of documents, enhancing response accuracy and reducing costs.
Features
4k Context Length Support, Notably Enhances Long Text Search Quality
Supports Multilingual and Multi-structured Data Search, Including Emails, Invoices, JSON Documents, Code, Tables, etc.
Covers 100+ Languages
Significantly Improves Latency and Reduces Overall Cost of Ownership
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