Converting information (or any arbitrary data) to vector data.
"my name is Sam" -> [0.2, 0.1, 0.01, ... -0.3]
When you visualize the embeddings in a 3D graph, you can see the "clustering" of relevant information in a space.
This clustering shows a visual relevance of each data stored in vector by the distance between them.