Scan to join WeChat groupRerank v3.5
Rerank v3.5 for reranking search results and improving RAG answer quality
Rerank v3.5 is a Cohere reranking model for search reranking, RAG refinement and answer-quality improvements.
descriptionOverview
Overview
Rerank v3.5 is listed in Cohere's official model documentation, with model ID rerank-v3.5. Cohere's lineup focuses on enterprise RAG, retrieval augmentation, multilingual generation, embeddings and reranking.
Best for
Use Rerank v3.5 to improve search relevance, knowledge-base Q&A hit rate or RAG context ordering. Test ranking lift, latency overhead, batch size and overall answer quality before production.
lightbulbUse cases
- Search-result reranking
- RAG quality improvement
- Search relevance optimization
- Knowledge-base answer ranking
thumb_upStrengths
- Strong focus on enterprise retrieval and RAG
- Complete generation, embedding and reranking stack
- Useful for knowledge-base and search pipelines
- Multilingual support for global products
infoLimitations
- Results depend on retrieval pipeline design
- Embedding and reranking models are not chat generators
- Chinese and domain terminology need evaluation
- Limits depend on Cohere documentation