Embeddings
Definition: An embedding is a numerical representation (a vector) of text that captures meaning: texts close in meaning have close vectors.
It's the building block of semantic search and RAG: vectors are compared to find relevant information, beyond exact keywords.
Frequently asked questions
What are embeddings for?
Representing a text as a vector that captures its meaning, so contents can be compared by semantic closeness. It's the building block of semantic search and RAG.
Embeddings vs keyword search?
Keywords match exact terms; embeddings find what's close in meaning even without the same words ("car" ↔ "automobile").