How Graph-Based ANN Indexes Work

Graph-based indexes connect vectors to their nearest neighbors, creating a navigable graph. Search is a greedy walk: start at an entry point, hop to the closest neighbor, repeat until nothing better exists. This approach dominates in-memory benchmarks because each step is a small, targeted read. The tradeoffs: larger index size from edge storage, expensive inserts and deletes, and terrible performance on object storage where every random read has high latency. Graph-based indexing is the fastest option when data fits in RAM.

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Видео How Graph-Based ANN Indexes Work канала Joe Sack | AI