如何将文本转换为向量（DashScope）

import dashscopefrom dashscope import TextEmbeddingfrom dashvector import Clientfrom typing import List, Union

dashscope.api_key = '{your-dashscope-api-key}'

# 调用DashScope通用文本向量模型，将文本embedding为向量def generate_embeddings(texts: Union[List[str], str], text_type: str = 'document'):    rsp = TextEmbedding.call(        model=TextEmbedding.Models.text_embedding_v2,        input=texts,        text_type=text_type    )    embeddings = [record['embedding'] for record in rsp.output['embeddings']]    return embeddings if isinstance(embeddings, list) else embeddings[0]

# 创建DashVector Clientclient = Client(    api_key='{your-dashvector-api-key}',    endpoint='{your-dashvector-cluster-endpoint}')
# 创建DashVector Collectionrsp = client.create('dashscope-text-embedding', 1536)assert rspcollection = client.get('dashscope-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')))
# 向量检索docs = collection.query(    generate_embeddings('The best vector database', 'query'))print(docs)