Open-source vector database for storing data objects and vector embeddings
Weaviate is an open-source vector database that allows users to store data objects and vector embeddings from their favorite machine learning models. It is designed to scale seamlessly into billions of data objects. Weaviate uses generative AI to effortlessly generate custom apps and websites, unlocking endless possibilities for users and transforming the way we create, connect, and impact our world. The platform offers a wide range of tools and features, including vector search, hybrid search, and generative search, to help users create next-gen search experiences.
Weaviate is ideal for developers, data scientists, and businesses looking to store and manage large volumes of data objects and vector embeddings from machine learning models. It is also suitable for users who want to create custom apps and websites using generative AI.
Weaviate is an open-source vector database that allows users to store data objects and vector embeddings from their favorite machine learning models. The platform uses generative AI to create custom apps and websites and offers a wide range of tools and features to help users create next-gen search experiences. Weaviate is ideal for developers, data scientists, and businesses looking to store and manage large volumes of data objects and vector embeddings.
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