Aliyun Qwen Rerank

该工具基于阿里云Model Studio指定重排模型，对嵌入/向量检索后的候选结果重新排序，提升相关性。典型场景包括混合检索结果优化、跨语言文档-查询排序。输入需提供查询与候选文档，输出排序后结果；跨语言场景推荐多语言重排模型。

cinience

热度 38.61

最近更新 2026-05-11 17:39:12

分类：搜索依赖：代码执行 / 第三方 API应用场景：数据处理 / 研究

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