Concept
HNSW is a graph-based approximate nearest neighbor algorithm that builds a multi-layer proximity graph for fast vector search. It keeps the whole graph in memory, which makes it fast but RAM-intensive at large scale.
| Type | Concept |
|---|---|
| Wikipedia | en.wikipedia.org/wiki/Hierarchical_navigable_small_world |
2026-06-08 · Video on YouTube
The explosion of AI-powered applications has created a new challenge: how do you efficiently search through billions of vector embeddings without exploding infrastructure costs? In this episode, we explore the “billion-vector problem” and compare two leading…
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Maintained by Mirko Peters (Microsoft MVP) · Last updated:
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