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Weaviate is an innovative, open-source vector database designed to cater to your data storage needs. It enables you to seamlessly store a diverse range of data objects and vector embeddings derived from your preferred machine learning models. Its robust design allows it to handle up to billions of data objects with impeccable ease, making it a go-to solution for substantial storage requirements.

Welcome | Weaviate - vector database
Welcome to Weaviate


One defining feature is its speed; Weaviate can conduct a 10-NN neighbor search among millions of objects in mere single-digit milliseconds. This rapid performance outperforms many existing databases, making it a standout choice for users requiring swift retrieval times.

Additionally, Weaviate offers flexibility in its usage. It gives you the option to vectorize your data at the time of import or upload your own vectors as needed. This flexibility ensures that Weaviate can adapt to unique user requirements and offer more personalized database solutions.

With 6974 GitHub stars and the latest commit on 2023-07-31 the project looks healthy.