Expand description
TurboQuant: Near-optimal vector quantization for instant indexing
Based on arXiv:2504.19874 (ICLR 2026)
Key benefits:
- Indexing time: 239s → 0.001s (vs Product Quantization)
- Memory compression: 6x
- Zero accuracy loss
- No training required (data-oblivious)
Structs§
- Linear
Scan Index - Linear scan index for comparison (exact search)
- Linear
Scan Stats - Statistics about a LinearScan index
- Turbo
Quant Config - TurboQuant configuration
- Turbo
Quant Index - TurboQuant index for fast approximate nearest neighbor search
- Turbo
Quant Stats - Statistics about a TurboQuant index