Rag service

Skill Lin-A1/skills-agent/services/rag_service

根据agent skill理念构建的通用智能体框架

Install

npx -y skills add Lin-A1/skills-agent --skill rag_service

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What its author says it does

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高性能 RAG 多路检索服务。集成 Milvus 向量数据库进行语义检索，并结合 Rerank 模型进行精准重排序，支持海量文档的高效存储与历史内容召回。

SKILL.md

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功能

RAG 多路检索服务，提供：

向量语义检索 - 基于 Milvus 的向量相似度搜索
Rerank 重排序 - 对检索结果进行精排
文档存储 - 保存文档到向量数据库

调用方式

from services.rag_service.client import RAGServiceClient

client = RAGServiceClient()

# 健康检查
status = client.health()

# 语义检索
result = client.retrieve(
    query="Python 异步编程最佳实践",
    top_k=5,
    min_score=0.85,
    rerank=True
)
print(result["results"])

# 便捷方法：只获取文本列表
texts = client.retrieve_texts(query="Python 异步编程", top_k=5)

# 保存文档
client.save(documents=[
    {"text": "文档内容...", "metadata": {"title": "标题", "url": "..."}}
])

返回格式

retrieve

{
  "query": "Python 异步编程",
  "results": [
    {
      "id": "abc123",
      "text": "Python异步编程基于asyncio库...",
      "score": 0.92,
      "metadata": {"title": "Python官方文档", "url": "..."}
    }
  ],
  "total": 3,
  "elapsed_ms": 45.2,
  "from_cache": false
}

save

{
  "saved_count": 5,
  "collection_name": "websearch_results"
}