Comparing vectors is a fundamental capability in modern generative AI applications, enabling RAG and hybrid search use cases among others. Yet the details of how vectors are stored, retrieved, and compared by search engines are not widely understood. Modern vector search techniques allow for reduced memory and storage footprint and lower latency than naive exact comparisons, providing a better user experience at lower infrastructure cost. Join this session for a deep dive on modern vector search techniques and implementation in OpenSearch.