Convert text to dense vectors using ML models (BERT, sentence-transformers). Similar meanings cluster in vector space. "King - Man + Woman ≈ Queen".
Vector search finds nearest neighbors using cosine similarity or dot product. Enables semantic search: "automobile" matches "car" without synonyms. Approximate Nearest Neighbor (ANN) algorithms (HNSW, IVF) make billion-vector search fast.