Sort Index Families by Constraint
Classify vector index approaches by the constraint they primarily optimize.
Sort each index situation by the primary constraint it addresses. Exactness baseline Interactive high-recall ANN Memory-constrained scale Use FLAT search on a 50,000-vector set to create ground-truth recall comparisons Run exhaustive search for a small regulated collection where perfect recall matters more than latency Use HNSW for a live support assistant that needs low latency and high recall Increase graph exploration until recall@10 meets the product guardrail Use product quantization on a historical archive where small recall loss is acceptable Compress vectors to fit hundreds of millions of low-risk records inside budget
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