提示"初始模型已成功加载，可以开始对话",也上传了一个只有几句话的txt,提问后报这个错,请问是什么原因?为什么要找D:\a\faiss-wheels\这个文件夹?

[jiakuaibu]

To create a public link, set share=True in launch(). Traceback (most recent call last): File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\gradio\routes.py", line 394, in run_predict output = await app.get_blocks().process_api( File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\gradio\blocks.py", line 1075, in process_api result = await self.call_function( File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\gradio\blocks.py", line 884, in call_function prediction = await anyio.to_thread.run_sync( File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\anyio\to_thread.py", line 31, in run_sync return await get_asynclib().run_sync_in_worker_thread( File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\anyio_backends_asyncio.py", line 937, in run_sync_in_worker_thread return await future File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\anyio_backends_asyncio.py", line 867, in run result = context.run(func, args) File "app.py", line 215, in predict resp = knowladge_based_chat_llm.get_knowledge_based_answer( File "app.py", line 127, in get_knowledge_based_answer vector_store = FAISS.load_local('faiss_index', self.embeddings) File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\langchain\vectorstores\faiss.py", line 449, in load_local index = faiss.read_index( File "D:\Program Files\Anaconda\envs\langChainChatGLM\lib\site-packages\faiss\swigfaiss.py", line 9795, in read_index return _swigfaiss.read_index(args) RuntimeError: Error in __cdecl faiss::FileIOReader::FileIOReader(const char *) at D:\a\faiss-wheels\faiss-wheels\faiss\faiss\impl\io.cpp:68: Error: 'f' failed: could not open faiss_index\index.faiss for reading: No such file or directory

[thomas-yanxin]

没有点知识库文件向量化这个button