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Technical implementation · AI Search Infrastructure
Definition
Approximate nearest neighbor search is the algorithm that finds the vectors closest to a query vector in a large index. It trades a small, controlled amount of recall for dramatic speed gains over exact search.
Why It Matters for AI Search
Exact search over millions of vectors is computationally prohibitive at production scale. ANN algorithms — HNSW, IVF, and others — make vector retrieval fast enough for real-time query responses. The approximation means that a small percentage of genuinely relevant chunks may not appear in first-pass results. This is why the reranking stage exists: to catch precision failures that the approximate first pass missed.
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