AntData
AntData
Jul 8, 2025 · Artificial Intelligence

How RaBitQ Achieves 32× Vector Compression Without Sacrificing Accuracy

This article explains the challenges of high‑dimensional vector retrieval, introduces quantization techniques—especially the binary RaBitQ method and its MRQ extension—detailing their compression ratios, speed gains, compatibility with search indexes, and real‑world performance results in the VSAG system.

AI embeddingsMRQRaBitQ
0 likes · 15 min read
How RaBitQ Achieves 32× Vector Compression Without Sacrificing Accuracy