Vector Search's Blind Spot: Why Hybrid Graph-Vector Approaches Win

Vector search excels at semantic matching but fails to preserve structural relationships in data. VelesQL's hybrid approach combines vector embeddings with graph traversal to enable context-aware queries that find not just similar content, but correctly related data—essential for codebases, knowledge bases, and any domain where data structure matters as much as meaning.