Vector, not lookup.

A lookup table is a filing cabinet: ask for the exact key and you get the drawer; ask wrong and you get nothing. Fast, exact, and brittle — it has no idea what you meant, only what you literally said.

A vector search trades exactness for meaning. Every word, sentence, or image becomes a point — an embedding — in a high-dimensional space, and retrieval finds the nearest neighbors instead of an exact match. Ask a question nobody indexed and it still hands you the closest meanings. The map and the proof in this garden are that intuition made visible: position is meaning, distance is similarity.