Vector Embedding
In plain terms
A numeric vector representation capturing data's meaning.
Going deeper
A vector embedding encodes text, images, or items as points in space so similar things sit close together, enabling semantic comparison. Meaning becomes geometry.
Under the hood
Powers semantic search and RAG; similarity is measured by distance or cosine similarity.
Examples
Semantic search, RAG, recommendations, vector databases, similarity.
Think of it like...
Like placing every concept on a map where related ideas cluster nearby.