In this episode, dive into how vector embeddings revolutionize knowledge graphs by transforming words, images, and nodes into numerical vectors—enabling AI systems to grasp semantic meaning, identify hidden relationships, and boost applications like semantic search, recommendations, and link prediction. We'll unpack embeddings like Word2Vec, GloVe, FastText, Doc2Vec, and graph-based techniques (Node2Vec, GraphSAGE), and show how they empower knowledge graphs to evolve from static data maps into dynamic, intelligent systems that drive actionable insights.

https://blog.datamatics.com/unveiling-the-power-of-vector-embeddings-the-secret-sauce-of-smarter-knowledge-graphs