HNSW indices load entirely into memory for query performance. Collections with millions of high-dimensional vectors can exhaust available RAM, causing OOM errors, system instability, or swapping that degrades query performance by orders of magnitude. Memory requirements scale with collection size, dimensionality, and HNSW parameters (M, ef_construction).