By combining ontology and large language model-driven techniques, engineers can build a knowledge graph that is easily queried and updatable.

Graph databases are databases with the ability to fully support both read and write, utilizing a graph data model, API and query language.

Graph database query languages are growing, along with graph databases. They let developers ask complex questions and find relationships.

If the history of relational databases is any indication, what is going on in graph databases right now may be history in the making.