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POST
/
v1
/
rerank
curl https://www.qingbo.dev/v1/rerank \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "jina-reranker-v2-base-multilingual",
    "query": "什么是机器学习？",
    "documents": [
      "机器学习是人工智能的一个分支",
      "今天天气很好",
      "深度学习使用神经网络进行特征学习"
    ]
  }'

Documentation Index

Fetch the complete documentation index at: https://docs.qingbo.dev/llms.txt

Use this file to discover all available pages before exploring further.

Synchronous endpoint — reranks candidate documents by their relevance to a query, commonly used in RAG pipelines. Parameters are passed through directly to the upstream model. 
curl https://www.qingbo.dev/v1/rerank \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "jina-reranker-v2-base-multilingual",
    "query": "什么是机器学习？",
    "documents": [
      "机器学习是人工智能的一个分支",
      "今天天气很好",
      "深度学习使用神经网络进行特征学习"
    ]
  }'

​
Request Parameters

​
model
string
required
Reranker model ID, e.g., jina-reranker-v2-base-multilingual.
​
query
string
required
Query text.
​
documents
string[]
required
Array of candidate documents.
​
top_n
integer
Return the top N most relevant documents.