I’ve recently been working with the Weaviate team on Vector Search Engines. One of our projects that I’m the most excited about is creating Web Demos where anyone across the world can see the power of Neural Search for themselves -- for free.
I’m really to excited to share that there are 2 new web demos in Weaviate
Wikidata Weaviate Demo (subject of this video):
Demo:
Wikipedia Weaviate Demo:
This video will explains all sorts of things around this such as: (1) the difference between Wikidata and Wikipedia, (2) how graph embeddings are computed with Facebook AI’s PyTorch-BigGraph, (3) a visualization of the demo itself, and (4) a conclusion where I present my ideas on how I’m using graph-structured data and how I’m currently about thinking about the field of Graph Neural Networks and Knowledge