跑不动，完全跑不动

[running-frog]

停了好长时间了，跑不动了。。

[dosubot[bot]]

It sounds like the "RapidJSONLoader" process is encountering issues, potentially due to the size or complexity of the JSON data being loaded, which could be resource-intensive. To address this, consider the following steps:

1. Check System Resources: Monitor your CPU and memory usage during the process to identify if the system is running out of resources.
2. Modify Batch Size or Data Complexity: Try running the process with a smaller batch size or simpler data to see if it completes successfully.
3. Review Application Requirements: Ensure your system meets the Langchain-Chatchat application requirements, including the operating system, Python version, installed dependencies, and NVIDIA GPU support if necessary.
4. Examine Logs: The application's logging mechanism might provide insights. Look for any error messages or exceptions that could indicate the cause of the issue.

Providing more details about the error messages, system resource usage, troubleshooting steps you've already tried, and your system configuration could further help in diagnosing and resolving the issue effectively.

Details

Sources

• No sentence-transformers model found with name C:\Users\Administrator/.cache\torch\sentence_transformers\GanymedeNil_text2vec-large-chinese. Creating a new one with MEAN pooling.
• document_loaders/mypptloader.py
• knowledge_base/samples/content/test_files/langchain-ChatGLM_closed.jsonl
• server/knowledge_base/utils.py
• README_en.md
• Dockerfile
• README_ja.md
• knowledge_base/samples/content/test_files/langchain-ChatGLM_open.jsonl
• README.md
• configs/basic_config.py.example
• document_loaders/mydocloader.py
• configs/server_config.py.example

About Dosu This response is meant to be useful and save you time. It is not meant to be a precise solution, but rather a starting point for your own research.

Help me be more useful! Please leave a 👍 if this is helpful and 👎 if it is irrelevant.

To continue the conversation, mention @dosu.

[zRzRzRzRzRzRzR]

大文件很吃配置，尽量用GPU来做OCR，CPU很慢甚至卡死