HNSW index for vector embeddings in approx 500 LOC

In plain words

This is a lightweight implementation of the HNSW (Hierarchical Navigable Small World) algorithm for indexing vector embeddings, written in approximately 500 lines of code. It is designed for developers who need fast approximate nearest neighbor search without heavy dependencies. The compact codebase makes it suitable for projects where minimal footprint and straightforward implementation are priorities.

written from the facts on this page · September 2026

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