embedding

An embedding maps text or media into a dense vector so similarity and retrieval can be computed geometrically.

embedding shows up constantly when teams ship LLM features. Practically, it influences how you design prompts, evaluate quality, and reason about failure modes. Teams should document how embedding manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.