Claude-skill-registry embedding-service

文本向量化（Embedding）基础服务。将自然语言转换为高维稠密向量，为语义搜索、聚类分析、推荐系统等下游任务提供核心数据支持。

install

source · Clone the upstream repo

git clone https://github.com/majiayu000/claude-skill-registry

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/embedding-service-lin-a1-skills-agent" ~/.claude/skills/majiayu000-claude-skill-registry-embedding-service && rm -rf "$T"

manifest: skills/data/embedding-service-lin-a1-skills-agent/SKILL.md

source content

功能

将输入文本转换为高维向量表示，用于语义相似度计算、聚类分析等下游任务。

调用方式

from services.embedding_service.client import EmbeddingServiceClient

client = EmbeddingServiceClient()

# 单个文本向量化
vector = client.embed_query("人工智能")  # -> list[float]

# 多个文本向量化
texts = ["机器学习", "深度学习", "自然语言处理"]
vectors = client.embed_documents(texts)  # -> list[list[float]]

返回格式

{
  "object": "list",
  "data": [
    {
      "object": "embedding",
      "index": 0,
      "embedding": [-0.031, -0.016, -0.007, ...]
    }
  ],
  "model": "Qwen/Qwen3-Embedding-0.6B"
}