Keep the distance words straight
Recall the core vocabulary used to explain embedding search behavior.
Core term What is an embedding vector? Recall the basic object. A list of floating-point numbers that represents text or another item in a learned space. The vector enables mathematical comparison; it is not itself an explanation or answer. Do not mix these Similarity score vs. confidence A high-similarity chunk can still be stale, unauthorized, or incomplete. Metric What does cosine similarity compare? The normalized dot product of two vectors, often understood as how aligned their directions are. On normalized data, it is closely tied to linear comparison of vector direction. Common objection If the nearest neighbor is first, does…
Sign up free — one personalized lesson every day, matched to your role and goals.
Already have an account? Sign in