This video explores the vector capabilities of Amazon OpenSearch Service, featuring insights from Jon Handler, Achal Kumar from Intuit, and Aruna Govindaraju. It covers the basics of vector search, its advantages over traditional text-based search, and how it improves relevance in search results. The speakers discuss the integration of large language models with OpenSearch, the creation of AI/ML connectors, and the use of neural plugins for simplified vector operations. Intuit's case study demonstrates the practical application of vector search in their Generative Q&A system. The session includes a live demo of creating AI/ML connectors and performing vector searches in OpenSearch. Learn how vector search enhances search relevance, improves semantic understanding, and enables more efficient data retrieval for various use cases.