In our use case, we had to build a graph data structure with subjects, relations, and objects. To do this, we used many basic data structures in Go, such as structs, slices, maps, and strings.

A graph is a data structure that holds not only business records but also information about how those records are connected to one another. For example, it can point out if two purchase logs were ...

The real value comes when graph databases and knowledge graphs are integrated, said Gnau. “In a multi-model platform, graph and semantic modeling capabilities work together to provide both structure ...

Graph databases, including Neo4j and Amazon Neptune, are different from databases in that they are designed to facilitate the storage and querying of graph structures.

Unlike RDB, the graph database utilizes graphs linked by points and lines to store and manage each aspect of data, thus enabling analysis of a large volume of data in a short period of time. According ...

New techniques make graph databases a powerful tool for grounding large language models in private data. Once you get past the chatbot hype, it’s clear that generative AI is a useful tool ...

Data Squared (Data²), a small business dedicated to helping public and private sector organizations unlock the full potential of their data, is partnering with Neo4j, a leading graph database and ...