Embedding service
根据agent skill理念构建的通用智能体框架
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What its author says it does
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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。
SKILL.md
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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"
}