Vector Library versus Vector Database
Learn more about the differences between vector libraries and vector databases!
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.
The Lock Striping pattern is a great way to solve race conditions without sacrificing performance. Lean about Weaviate's improvements.
Learn how to use build an image search application using the Img2vec-neural module in Weaviate.
Vector search on disks: How does Vamana compare to HNSW?
Learn about the various Sentence Transformers from Hugging Face!
Running ML Model Inference in production is hard. You can use Weaviate – a vector database – with Hugging Face Inference module to delegate the heavy lifting.
Two weeks after the 1.15 release, we have a patch (v1.15.1) release for you, which brings 15 bug fixes and 2 UX improvements.
Weaviate 1.15 introduces Cloud-native Backups, Memory Optimizations, faster Filtered Aggregations and Ordered Imports, new Distance Metrics and new Weaviate modules.
Press Release: Pay-as-you-grow comes to Vector Search.