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Cohere Rerank

Semantic relevance reranking API to improve RAG retrieval accuracy

Code & Development
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Cohere Rerank

Semantic relevance reranking API to improve RAG retrieval accuracy

Cohere Rerank is an API that takes an initial set of candidate documents retrieved by keyword or vector search and reorders them by semantic relevance to the query, significantly improving the precision of the top results passed to an LLM. Using a cross-encoder architecture, Rerank scores each document-query pair jointly rather than independently, capturing nuanced relevance that embedding similarity misses. Supports 100+ languages.

Key Features

  • Cross-encoder scoring
  • 100+ languages
  • Model-agnostic
  • RAG accuracy improvement
  • Low latency API
  • Hybrid search boost
#rag#retrieval#reranking#semantic-search#nlp

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