Xiaohongshu's engine team has developed HELMSMAN, a new infrastructure for billion-scale vector search. Presented at OSDI 2026, HELMSMAN utilizes all-flash storage to replace a significant portion of traditional CPU and DRAM resources. This approach achieves a 90% cost reduction while maintaining performance for large-scale vector search operations. AI
IMPACT This development could significantly reduce the cost of deploying and scaling AI models that rely on large-scale vector search.
RANK_REASON Publication of a new infrastructure system at a research conference. [lever_c_demoted from research: ic=1 ai=0.7]
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