6. Vector Indexing Explained: How HNSW, IVF, & PQ Algorithms Power AI Search
Have you ever wondered how modern AI search engines, like the ones used by large language models, can find similar documents in milliseconds? The secret is Vector Indexing. In this deep dive, we break down the fundamental algorithms that make high-speed similarity search possible. You'll learn the core concepts behind Inverted File Indexes (IVF) for clustering, Product Quantization (PQ) for compression, and the game-changing Hierarchical Navigable Small Worlds (HNSW) graph algorithm. Understand the trade-offs between speed, memory, and accuracy, and know exactly which index to choose for your next AI project!
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