About Cohere Rerank
"Cross-encoder reranking API to dramatically improve RAG and search relevance"
Cohere Rerank is a powerful relevance reranking API that dramatically improves search and RAG quality by using a cross-encoder model to score the true relevance of retrieved documents to a query. Unlike embedding-based retrieval that uses vector similarity, Rerank understands the nuanced relationship between queries and documents, filtering out irrelevant results and surfacing the most useful information. Adding Rerank as a post-processing step to any retrieval pipeline — including keyword search, vector search, or hybrid search — consistently boosts answer quality with minimal code changes.
Key Features
- Cross-encoder relevance scoring
- Works with any retrieval system
- Multi-language support
- Low-latency API
- Measurable accuracy improvement
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