Aliyun Qwen Rerank

该 Skill 使用阿里云 Model Studio 的重排序模型，为检索候选生成重排序请求，支持混合检索后的 top-k 精排与多语言相关性排序；包含 Python 请求准备脚本，但未包含实际服务调用或密钥配置。

cinience

热度 38.69

最近更新 2026-05-11 17:39:12

分类：搜索依赖：代码执行 / 读写文件 / 第三方 API应用场景：研究 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add aliyun-qwen-rerank

Metadata

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

references/sources.md