MetaGraph, described in Nature, launched as a search engine designed to index and query petabases of raw sequencing reads across public repositories like the Sequence Read Archive. The platform uses graph‑based indexing to recover genetic patterns that lack explicit annotation, enabling searches for sequences and structural patterns at unprecedented scale. Authors and external experts called MetaGraph a major advance for computational genomics: it makes raw sequencing data queryable without prior alignment or annotation and can reveal hidden patterns across studies. The tool promises to accelerate discovery by surfacing candidate sequences and enabling cross‑study retrieval of reads tied to biological signals. Adoption will hinge on compute infrastructure, standards for interoperability, and integration into existing bioinformatics pipelines, but MetaGraph represents a step toward democratizing access to the growing sea of raw sequencing data.