Vector Indexes in Db2 – Understanding the search accuracy vs speed tradeoffs
Date postedMarch 10, 2026
Written by Christian Garcia-Arellano, Zach Hoggard, and Chris Stojanovsky
As vector data sets grow from thousands to millions of embeddings, brute-force nearest-neighbor search quickly becomes a bottleneck, making low-latency semantic search impractical. Vector indexing based on approximate nearest-neighbor (ANN) search provides dramatic performance gains.
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