点击重建向量库后一直转圈圈

[futureflsl]

一直转圈试了几次都不行，也不报错

[dosubot]

It looks like the issue with the "点击重建向量库后一直转圈圈" problem might be related to the configuration or location of your vector file. Here's a streamlined approach to troubleshoot and potentially resolve the issue:

1. Check and Update Configuration: Ensure your EMBEDDING_MODEL is correctly set to "bge-large-zh". Also, verify that MODEL_ROOT_PATH points to the directory where your models, including the embedding model, are stored. Adjust these settings if necessary.

2. Verify Vector File Location: The vector file for "bge-large-zh" should be located at "BAAI/bge-large-zh" relative to MODEL_ROOT_PATH. If it's not there, move it to the correct location.

3. Permissions Check: Ensure the application has read access to the vector file and its directory. Incorrect permissions can prevent the application from accessing the necessary files.

4. Update Your Code: If the issue persists, consider updating your code to the latest version. There was a similar issue reported in the Langchain-Chatchat repository that was resolved by updating the code.

5. Address Python Deprecation Warning: While the imp module deprecation warning is not directly related to your issue, it's advisable to update your code to use importlib for future compatibility.

6. HTTP Status Codes: The 200 OK and 404 Not Found HTTP status codes in your logs suggest that some requests are successful while others can't find the resources. This might not be directly related to the vector database rebuilding issue but is worth noting for troubleshooting HTTP requests.

By following these steps, you should be able to identify and resolve the issue with the vector database not rebuilding properly. If you encounter further issues or have additional questions, feel free to ask.

Sources

• [BUG] 无法使用zhipu的在线embedding
• init_database.py
• webui_pages/knowledge_base/knowledge_base.py
• requirements_lite.txt

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