Weaviate Blog

Recent advances in AI are breathing new life into podcasting! The Whisper speech-to-text model is a game-changer!

Machine learning models can create beautiful and novel images. Learn how Diffusion Models work and how you could make use of them.

Get an intuitive understanding of what exactly vector embeddings are, how they're generated, and how they're used in semantic search.

Ever wonder how Weaviate turns objects into vectors, behind-the-scenes? Find out in this post!

Learn about the hardware, software and performance metric specifications behind our ~1B object import of the Sphere dataset into Weaviate.

Weaviate 1.17 introduces Replication, Hybrid Search, BM25, Faster Startup and Imports and more. Learn all about it.

Cohere announced the release of the text-understanding multilingual model. Learn how to use it in Weaviate.

Learn how to import and query the Sphere dataset in Weaviate!

Learn more about the differences between vector libraries and vector databases!

Weaviate introduces Ref2Vec, a new module that utilises Cross-References for Recommendation!

Learn how to quickly and easily back up and restore your Weaviate data with the native backup feature.

Weaviate 1.16 introduces New Filter Operators, Distributed Backups, Centroid Module, Node Status API, Azure-based OIDC, and more. Lear all about it.