Abstract: Sentence meaning similarity in machine learning (ML), which is automatically done by calculating the semantic similarity between sentences. In this study, word embeddings are used to depict ...
This guide shows how to instantiate, configure, and query SVS indices and how to enable LVQ/LeanVec compression in Faiss. To build Faiss with SVS support, see Building with Intel SVS. SVS indexes ...
SVS Vamana — Combines the Vamana graph-based search algorithm, introduced by Subramanya et al., with Intel's LVQ and LeanVec compression. It uses a single-layer proximity graph (vs. HNSW’s multi-layer ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback