参考 rag_with_openai_embedding.py，只使用了OpenAI的embedding接口，没有调用向量模型，实现简单。
可以先跑通这个流程。
pip install transformers torch torchvision
pip install numpy chromadb tqdm openai参考 149行 ChromaDB 这个类的实现。
如果你当前环境联网，下载模型权重很慢，可以使用本地下载的方式； 将下面的大模型权重下载下来，解压缩，放在一个目录里，比如D:\AAA，然后对下面这个代码的地址修改为D:\AAA。
BGE_MODEL_PATH = "D:\\codes\\bge-large-zh" #替换成你自己的实际地址链接：https://pan.baidu.com/s/1XMVmn0C57D7A4mfOjQnl1g
提取码：34r8
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