Why it matters

Most platforms force developers to choose a single data model—vector embeddings, graph, document, key/value, or time series—and then struggle to bridge gaps between them. This leads to duplication, awkward transformations, and missed opportunities to fully understand complex relationships. Modern applications demand more: a holistic way to represent, connect, and query data in its natural form.

How FlexVertex solves it

The FlexVertex Data Multiverse™ was built to unify diverse data models within a single, object-oriented framework. Embeddings, graph, document, key/value, and time series are first-class citizens, integrated seamlessly under a common architecture. With inheritance and class hierarchies, the Data Multiverse mirrors real-world complexity—allowing objects to be stored, queried, and related without compromise. Developers can traverse deep relationships with graph-style queries, examine embeddings, inspect documents, or retrieve key/value pairs, all within one coherent environment.

What you get

Unified data models – embeddings, graph, document, key/value, and time series under one platform

Object orientation – class hierarchies and inheritance to mirror real-world structures

Seamless queries – traverse complex relationships and patterns across data types

Contextual insights – connect diverse information into a meaningful, actionable whole