AntData
Jul 8, 2026 · Databases
Deep Dive into SINDI: High‑Performance Sparse Vector Search Index for VSAG
The article explains SINDI, a sparse‑vector retrieval index designed for VSAG, detailing its window‑based weighted inverted lists, multi‑layer pruning, quantization and reranking techniques that achieve dramatically faster index construction, smaller index size, and high query throughput compared with traditional inverted or graph indexes.
Inverted IndexMaximum Inner Product SearchPruning
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