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Weaviate is an open-source, AI-native vector database company founded in 2019. It provides infrastructure for developers and DevOps/MLOps teams to organize, store, and retrieve data using machine learning and vector search. The company's flagship product, the Weaviate Search Graph, allows for meaning-based indexing and semantic search by storing data objects in semantic vector spaces. This technology supports AI-native applications and integrates with machine learning models for embeddings. Weaviate offers its AI-native vector database infrastructure as open-source software and managed cloud services. The company has a global, remote-first team of over 100 employees and has experienced significant growth since its inception. It has secured funding from various investors and partners with organizations like Remote to enhance its offerings. Weaviate aims to facilitate the development of AI-powered applications at any scale, targeting a wide range of developers and operators worldwide.








Weaviate has been mentioned across 6 podcasts.