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Research2026-07-11 · source-backed
HeadGym's breakdown puts a knowledge-graph + vector hybrid at ~72.9% task accuracy but ~17s p95 latency, versus a flat vector store at ~66.9% and ~1.44s. Roughly 6 accuracy points for a 12x latency swing. Pure vector similarity is fading because retrieving facts through entities and relationships captures what embeddings miss. Pick the pattern from your latency budget, not from habit. Start MVPs on a buffer + SQL + lightweight in-process vector index, graduate to hybrid only when accuracy actually demands it.
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