A detailed technical comparison of IVF (Inverted File Index) and HNSW (Hierarchical Navigable Small World) indexing strategies in Milvus, the open-source vector database. Covers how each algorithm works internally, performance benchmarks across datasets from 1M to 100M vectors, memory and build-time trade-offs, parameter tuning
Table of contents
Milvus Architecture OverviewIVF — Inverted File IndexIVF Index Variants in MilvusHow IVF_FLAT Works — Step by StepHNSW — Hierarchical Navigable Small WorldThe HNSW Graph StructureHNSW Build AlgorithmHNSW SearchHead-to-Head ComparisonPros and Cons BreakdownPerformance BenchmarksCode Examples in MilvusDecision FrameworkTL;DR SummaryGet TechLatest.Net ’s stories in your inboxConclusionThank you so much for readingSort: