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post/embeddings/v1/rerank1 credit

rerank documents by relevance to a query (BGE-reranker-v2-m3 cross-encoder, multilingual). params: query (str) + documents (list of str). Returns ranked results[{index, relevance_score}] (most-relevant first).

Working example

Parameters

queryrequired

documentsrequired

modeloptional

top_noptional

⌘↵

request preview

curl -X POST https://api.reefapi.com/embeddings/v1/rerank \
  -H "x-api-key: $REEF_KEY" \
  -H "content-type: application/json" \
  -d '{"query":"best coffee shop near me","documents":"[\"A cozy cafe with award-winning espresso\",\"An auto repair garage\",\"The top-rated coffee place downtown\"]"}'

Hit Send (or ⌘↵) to run this endpoint live.