Weaviate develops an open-source, AI-native database for storing objects and vector embeddings and retrieving them through semantic, keyword, hybrid, and multimodal search. It is available as managed cloud infrastructure and for customer-controlled deployments.
Developers use Weaviate as the knowledge layer for retrieval-augmented generation, agents, recommendation, enterprise search, and other AI applications. The platform combines database operations, vector indexing, filtering, model integrations, and developer tools so systems can retrieve relevant context at production scale.
Director of Product
