SimoneZeng/awesome-vector-ANN-search-papers

A curated list of awesome works related to high dimensional structure/vector search & database

Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

Vector Index Benchmark for Embeddings (VIBE) is an extensible benchmark for approximate nearest neighbor search methods, or vector indexes, using modern embedding datasets.

[NeurIPS'24] Approximate Nearest Neighbor search using reduced-rank regression, with extremely fast queries, tiny memory usage, and rapid indexing on modern vector embeddings.

Benchmarks of approximate nearest neighbor libraries in Python

A distributed approximate nearest neighborhood search (ANN) library which provides a high quality vector index build, search and distributed online serving toolkits for large scale vector search scenario.

Framework for evaluating ANNS algorithms on billion scale datasets.

Lightweight Nearest Neighbors with Flexible Backends

A library for efficient similarity search and clustering of dense vectors.