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I've launched and Azure container app, including a container hosting Kernel Memory. Its called by my api container as users upload docs - it handles generating embeddings for the doc stored in a vector DB.
We've just added a large number of users, and I'm seeing the memory on my Kernel Memory container (I've got several replicas) steadily growing over the days since launch. It is a slow trend but shows no significant regression.
Is this expected? Is there a way to control caching of document content and releasing from memory?
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I've launched and Azure container app, including a container hosting Kernel Memory. Its called by my api container as users upload docs - it handles generating embeddings for the doc stored in a vector DB.
We've just added a large number of users, and I'm seeing the memory on my Kernel Memory container (I've got several replicas) steadily growing over the days since launch. It is a slow trend but shows no significant regression.
Is this expected? Is there a way to control caching of document content and releasing from memory?
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