嵌入与重排模型

from openai import OpenAI
client = OpenAI(api_key="sk-...", base_url="https://openp.ai/v1")

resp = client.embeddings.create(
    model="text-embedding-3-small",
    input=["OpenPAI 是一个 API 网关", "What is RAG?"],
)
for item in resp.data:
    print(len(item.embedding), item.embedding[:5])

curl https://openp.ai/v1/embeddings \
  -H "Authorization: Bearer $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "text-embedding-3-small",
    "input": "OpenPAI 是一个 API 网关"
  }'

curl https://openp.ai/v1/rerank \
  -H "Authorization: Bearer $OPENPAI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "rerank-multilingual-v3.0",
    "query": "什么是向量数据库?",
    "documents": [
      "向量数据库存储高维向量,用于相似度检索。",
      "Postgres 是一种关系型数据库。",
      "FAISS 与 Milvus 是常见的向量检索方案。"
    ],
    "top_n": 2
  }'

{
  "results": [
    {"index": 0, "relevance_score": 0.98},
    {"index": 2, "relevance_score": 0.83}
  ]
}