What does the FLAT vector index algorithm offer compared with HNSW?
- A Faster queries on large datasets
- B Exact (100% recall) search at higher query cost, suited to smaller datasets (correct answer)
- C Lower memory always
- D Support for sparse vectors
Shortcut: FLAT performs a brute-force comparison, giving exact results but scaling linearly with dataset size. HNSW is approximate but far faster at scale.