A 10x increase in scale coincided with a 90% cost reduction for Notion's vector search implementation. The team optimized their indexing and retrieval pipelines over two years to handle massive document growth. This efficiency gain proves that early AI infrastructure is often wasteful. Developers can now achieve high-performance semantic search without prohibitive cloud spend.