How Vector Search Actually Works: IVF and HNSW

The article dives into the mechanics behind vector search algorithms like IVF and HNSW, which are crucial for modern systems handling semantic searches across various applications. Instead of brute-force scanning or simple tree structures, these methods cleverly navigate through millions of vectors to find the closest in meaning, balancing speed and accuracy. This is vital for optimizing performance in recommendation engines, image search, and more, ensuring these systems can scale efficiently without sacrificing precision. Understanding these techniques helps appreciate how cutting-edge tech achieves near-instantaneous search capabilities.