OpenSearch: Your friendly neighborhood vector database

At SCaLE 23x, the authors presented OpenSearch as an accessible and powerful vector database solution, emphasizing its community-driven, open-source nature and ease of use. Unlike traditional search, OpenSearch uses vector embeddings to understand intent and deliver more relevant results based on meaning, not just keywords – offering features like semantic, multimodal, and hybrid search. It’s designed to be easily integrated and scaled for applications like e-commerce, content discovery, and customer support, making enterprise-grade vector search attainable for teams new to AI.