### Contact Information _No response_ ### MaxKB Version v2.1.1 | v1.10.10-lts ### Problem Description 接入阿里百炼平台的 text-embedding-v3 及 text-embedding-v4 模型后向量化文件导致返回向量维度不固定,检索报错 <img width="1744" height="1378" alt="Image" src="https://github.com/user-attachments/assets/d0acf557-7d85-45d9-9338-636a6654c800" /> 查看官网python sdk ```python import os from openai import OpenAI client = OpenAI( api_key=os.getenv("DASHSCOPE_API_KEY"), # 如果您没有配置环境变量,请在此处用您的API Key进行替换 base_url="https://dashscope.aliyuncs.com/compatible-mode/v1" # 百炼服务的base_url ) completion = client.embeddings.create( model="text-embedding-v4", input='衣服的质量杠杠的,很漂亮,不枉我等了这么久啊,喜欢,以后还来这里买', dimensions=1024, # 指定向量维度(仅 text-embedding-v3及 text-embedding-v4支持该参数) encoding_format="float" ) print(completion.model_dump_json()) ``` [可以指定向量返回维度](https://help.aliyun.com/zh/model-studio/text-embedding-synchronous-api?disableWebsiteRedirect=true) ### Steps to Reproduce - 接入百炼 text-embedding-v3 / text-embedding-v4 向量模型 - 知识库上传文档执行向量化 - 检索报错 ### The expected correct result _No response_ ### Related log output ```shell ``` ### Additional Information _No response_