Weaviate is an open-source vector database where you can store data objects and vector embeddings from ML models, scaling easily to billions of objects.
The tool offers rapid pure vector similarity searches across data objects or raw vectors, along with combined keyword-based and vector search methods for top-tier search results.
Weaviate lets you use any generative model alongside your data to build innovative search experiences. It integrates with many popular neural search frameworks and provides immediate vectorization support.
Weaviate's modules offer comprehensive vectorization support. It is designed to offer developers an excellent experience, allowing them to move from initial setup to production seamlessly.
The tool emphasizes community and open-source values. Join the Weaviate community on Slack. It includes backup and restore features, making it a reliable solution for data-intensive applications.
Weaviate provides extensive resources to help users learn how to utilize the tool and gain inspiration from the creative apps of other users. Weaviate is an open-source tool available for use anywhere.
Stores vector embeddings
Scales to billions of objects
Fast vector similarity search capabilities
Integration options are limited
Lacks commercial support
Has open-source drawbacks

Released 3 years ago
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Released 2 years ago
Free + from $99/month