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Optimizing Memory Consumption During Bulk Uploads Efficient memory management is a constant challenge when you’re dealing with large-scale vector data. In high-volume ingestion scenarios, even seemingly minor configuration choices can significantly impact stability and performance.
Let’s take a look at the best practices and recommendations to help you optimize memory usage during bulk uploads in Qdrant. We’ll cover scenarios with both dense and sparse vectors, helping your deployments remain performant even under high load and avoiding out-of-memory errors.