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Cohere Rerank

Specialized model for re-ranking search results to improve relevance in RAG pipelines.


Overview

Cohere's Rerank API takes a query and a list of documents (retrieved from any source) and returns them sorted by semantic relevance. It acts as a filter layer after initial retrieval, significantly boosting the quality of context provided to the LLM.

Best for

  • Improving RAG precision
  • Hybrid search post-processing
  • Reducing noise in large context windows

Trade-offs

vs Cohere Embed
Cohere Embed for creating vectors; Cohere Rerank for sorting pre-retrieved lists.
vs ColBERT (Local)
Cohere API for ease/speed; ColBERT for privacy/on-premise cost control.

What XeroHack pre-wires

When you pick Cohere Rerank in the interview, the engine emits these files into your scaffold:

  • LangChain CohereReranker
  • LlamaIndex CohereRerank

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