This video demonstrates how to build generative AI applications using Amazon OpenSearch Service Machine Learning (ML) connectors. It covers integrating with third-party model-hosting services like SageMaker and OpenAI, creating ML connectors, deploying models, and implementing semantic search. The demo walks through creating connectors, registering models, generating vector embeddings, and performing vector searches. Key benefits of OpenSearch ML connectors include creating personalized semantic search applications, building native integrations with embedding services, and leveraging OpenSearch's distributed design for scalable vector databases.