June 4, 2024, 3:35 p.m. | /u/elliesleight

Machine Learning www.reddit.com

This paper dives into the world of Hierarchical Navigable Small World (HNSW) graphs and their performance in vector search systems. The paper uncovers significant insights that can impact your retrieval system's efficiency and accuracy.

Key findings:

1. **Parameter Configuration Matters**: Under-configured parameters in HNSW can drop NDCG@10 by up to 18% and change model rankings compared to exact KNN.
2. **Order of Data Insertion**: The order in which data is inserted into the HNSW graph can cause up to a …

accuracy configuration data dimensionality efficiency graphs hierarchical hnsw impact impacts insights intrinsic key machinelearning paper parameters performance recall retrieval search small systems vector vector search world

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