编程

Alibaba Cloud AI Search Rerank

试用

Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual...

它能做什么

Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual...

技能文档

Category: provider

Model Studio Rerank

Validation

mkdir -p output/aliyun-qwen-rerank
python -m py_compile skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py && echo "py_compile_ok" > output/aliyun-qwen-rerank/validate.txt

Pass criteria: command exits 0 and output/aliyun-qwen-rerank/validate.txt is generated.

Critical model names

Use one of these exact model strings:

  • gte-rerank-v2
  • gte-rerank
  • gte-multilingual-rerank
  • qwen3-reranker-8b
  • qwen3-reranker-4b
  • qwen3-reranker-0.6b

Quick start

python skills/ai/search/aliyun-qwen-rerank/scripts/prepare_rerank_request.py \
  --query "cloud vector database" \
  --output output/aliyun-qwen-rerank/request.json

Notes

  • Use after embedding/vector retrieval to reorder candidates.
  • Prefer multilingual rerankers when query/document languages differ.

References

  • references/sources.md

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