Embedding
A dense vector that places text in a space where distance means semantic similarity. Retrieval compares a query vector against stored passage vectors, which is why a vector database is the storage layer for RAG.
Why exams ask this
Tested on what embeddings do NOT give you: they carry no notion of recency, authority, or truth. Similarity is not correctness.
Relevant to
AI Fluency: Framework and FoundationsGenerative AI FundamentalsGenerative AI LeaderOCI Generative AI ProfessionalAI Agents CourseGenerative AI and LLMs, NCA-GENLAI Engineering Professional CertificateCertified Machine Learning Engineer, AssociateClaude Code in ActionClaude Certified Architect, Foundations
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