IVF-RaBitQ (GPU) has been made public on arXiv
We are pleased to announce that our paper “GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search” is now publicly available on arXiv!
We are pleased to announce that our paper “GPU-Native Approximate Nearest Neighbor Search with IVF-RaBitQ: Fast Index Build and Search” is now publicly available on arXiv!

Congratulations to Jianyang Gao for publishing the paper “Practical and Asymptotically Optimal Quantization of High-Dimensional Vectors in Euclidean Space for Approximate Nearest Neighbor Search” at SIGMOD 2025!

Congratulations to Jianyang Gao for publishing the paper “RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search” at SIGMOD 2024!

Congratulations to Jianyang Gao for publishing the paper “RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search” at SIGMOD 2023!