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Search & retrieval
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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