Humanizing Artificial Intelligence

Graph Databases

Graph databases are all about relationships.

They focus on how things are connected.

Graph databases store information as “nodes” and “edges”.

A node is an item - like Bob, Spike, and Vector.

An edge is the connection between nodes.

If you’ve ever used mind map or diagram tools - nodes are shapes & edges are where you connect lines between them.

In some of those tools, you can label the lines you draw, like so: Bob --- owns --- Spike

These types of databases are great for things like Social networks - who knows who and how.

While graph databases can be used with LLMs, there is a better option. One that combines the benefits of all these databases - in a way that works best for computing.