如何将文本转换为向量？(方法四)

from dashvector import Clientimport requestsfrom typing import List

# 调用百川智能向量化模型服务，将文本embedding为向量def generate_embeddings(texts: List[str]):    headers = {      'Content-Type': 'application/json',      'Authorization': 'Bearer {your-baichuan-api-key}'    }    data = {'input': texts, 'model': 'Baichuan-Text-Embedding'}    response = requests.post('http://api.baichuan-ai.com/v1/embeddings', headers=headers, json=data)    return [record["embedding"] for record in response.json()["data"]]

# 创建DashVector Clientclient = Client(    api_key='{your-dashvector-api-key}',    endpoint='{your-dashvector-cluster-endpoint}')
# 创建DashVector Collectionrsp = client.create('baichuan-text-embedding', 1024)assert rspcollection = client.get('baichuan-text-embedding')assert collection
# 向量入库DashVectorcollection.insert(    ('ID1', generate_embeddings(['阿里云向量检索服务DashVector是性能、性价比具佳的向量数据库之一'])[0]))
# 向量检索docs = collection.query(    generate_embeddings(['The best vector database'])[0])print(docs)