On-disk ANN indexes cut vector search costs by 90%

The piece walks through RAM‑heavy HNSW versus on‑disk approaches like DiskANN and SPANN, showing how on‑disk graphs can keep query latency low while slashing RAM spend. It explains the storage‑latency trade‑offs and gives practical guidance for building cost‑effective, high‑throughput vector search pipelines.