Technology
Vector indexing, similarity search, metadata filtering, retrieval, and operational trade-offs.
Practice items tagged with Vector Databases.
Defines embeddings as model-produced vectors used for similarity and contrasts representation with text generation.
Preparation paths where this taxonomy appears in the track scope.
Applied AI interview preparation grounded in real product and production decisions.
An applied AI engineering path covering model behavior, tokens, context, output controls, embeddings, model selection, reliability boundaries, and production diagnosis.