| name | aliyun-qwen-rerank |
| description | Use when reranking search candidates is needed with Alibaba Cloud Model Studio rerank models, including hybrid retrieval, top-k refinement, and multilingual relevance sorting. |
| version | 1.0.0 |
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