[BUG] 上传文件后资源没有释放，连续上传一段时间之后导致OOM about langchain-chatchat HOT 1 CLOSED

To address the issue of memory not being released and leading to an OutOfMemory (OOM) error when consecutively uploading documents with self.milvus.add_documents, consider implementing the following strategies:

1. Batch Processing: Break down the document uploads into smaller batches. This approach limits the amount of memory used at any given time and allows for periodic memory release.

2. Garbage Collection: Manually invoke Python's garbage collector using import gc followed by gc.collect() after processing each batch or a significant operation. This can help in reclaiming memory that's no longer in use.

3. Optimize Document Handling: Ensure that the operations on documents before uploading do not unnecessarily increase memory usage. This includes careful management of any modifications or additions to document metadata.

4. Memory Profiling: Utilize memory profiling tools to identify specific areas in your code where memory usage is high or not being released as expected. This can provide insights into potential optimizations or issues.

5. Review Milvus Configuration: Check the configurations used for Milvus to ensure they are optimized for your specific use case, as certain settings might impact memory usage.

By implementing these strategies, you should be able to mitigate the memory issues and prevent the OutOfMemory error during document upload processes.

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