ByteDance's UBASE: AI Search Engine for Trillion-Scale Vectors

_reachsumit · x · 2026-09-01

ByteDance presents UBASE, an AI search engine powering its infrastructure, indexing nearly one trillion vectors.

• Quantization: Introduces a quantization-aware vector kernel based on SymRaBitQ, enabling accurate index construction directly in quantized space without full-precision copies.
• Storage: Supports memory, hybrid, and SSD deployments with fine-grained record-level caching to trade memory for latency.
• Performance: Improves throughput up to 3x, reduces indexing memory by 80%, and lowers operating costs by 86% on large-scale benchmarks.

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