A 10x scale increase in vector search at Notion coincided with a 90% reduction in operational costs. The team shifted from expensive managed services to a custom implementation using Qdrant. This transition proves that moving away from high-level abstractions saves capital. Engineers can now scale retrieval systems without linear cost growth.