Approximate Nearest Neighbor

Turkish equivalent: Yaklaşık en yakın komşu aramasıDomain: Information Retrieval

Approximate Nearest Neighbor — A family of search techniques that trades exact nearest-neighbor guarantees for substantially faster similarity retrieval in high-dimensional vector spaces.

Information-Retrieval Context

Approximate nearest-neighbor search deliberately relaxes exact-neighbor guarantees to reduce latency and memory cost in high-dimensional retrieval. Index parameters in systems such as HNSW or IVF-PQ trade recall against query time, build time, and resident memory.

Evaluation Boundary

ANN results are approximate, so latency alone is not an adequate benchmark. Recall@k, filtering behavior, construction cost, memory use, and the target data distribution must be measured together.

Related technical article: Artificial Intelligence: Philosophy, Theory and Practice.

Updated: 02.09.2026

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