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Embeddings
Represent meaning as vectors so machines can compare and search by similarity.
5 conceptsEmbeddings
An embedding represents information as a numerical vector that captures useful semantic relationships.
Intermediate · 4 minVector
A vector is an ordered list of numbers used to represent a point in a high-dimensional space.
Beginner · 3 minSemantic Similarity
Semantic similarity measures how close two pieces of content are in meaning, typically by comparing their embeddings.
Intermediate · 3 minVector Search
Vector search finds the most similar items to a query by comparing embeddings instead of matching exact keywords.
Intermediate · 4 minVector Database
A vector database stores embeddings and is optimized for fast similarity search at scale.
Intermediate · 4 min