https://www.m365.fm/entity/hnsw/HNSW is a graph-based approximate nearest neighbor algorithm that builds a multi-layer proximity graph for fast vector search. It keeps the whole graph in memory, which makes it fast but RAM-intensive at large scale.enhttps://www.m365.fm/show/episodes/the-billion-vector-problem-hnsw-vs-diskann-in-azure-ai-search/https://www.m365.fm/show/episodes/the-billion-vector-problem-hnsw-vs-diskann-in-azure-ai-search/Mon, 08 Jun 2026 00:00:00 -0000episodeThe explosion of AI-powered applications has created a new challenge: how do you efficiently search through billions of vector embeddings without exploding infrastructure costs? In this episode, we explore the “billion-vector problem” and compare two leading…