[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
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Updated
Dec 9, 2024 - C++
[SIGMOD 2024] RaBitQ: Quantizing High-Dimensional Vectors with a Theoretical Error Bound for Approximate Nearest Neighbor Search
An Effective and Scalable Framework for Multimodal Search with Target Modality
Github repository of VerHem project source tree. A tensor-valued (up to 18 components) solving, post-processing and visualization parallel suite for 3D GL equations and complex geometries with adaptive mesh.
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