SDEvelo revolutionizes RNA velocity analysis in single-cell genomics by leveraging multivariate stochastic differential equations within a generative framework. The model uniquely captures the inherent stochasticity of gene expression dynamics, enabling more accurate inference of cell state transitions in both scRNA-seq and spatial transcriptomics data.