vector

A vector is a fixed-length array of numbers; embeddings represent meaning as vectors for search and clustering.

vector 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 vector manifests in their stack—data handling, evaluation, and runtime guardrails—and revisit assumptions as models update.