One Query Language to Rule Them All: VelesQL Consolidates AI Search

Modern AI applications require three separate database systems with different query languages to handle vector similarity, graph relationships, and full-text ranking—creating integration complexity and maintenance overhead. VelesQL collapses this fragmented stack into a single SQL-like language, allowing developers to unify vector, graph, and text search in one query interface. This represents a significant shift toward simplified database architectures in AI-driven applications.