Weaviate 1.29 Release
Blog post from Weaviate
Weaviate 1.29 introduces several new features and enhancements, including multi-vector embedding support (in technical preview) and integration with NVIDIA models. The update makes role-based access control (RBAC) and asynchronous replication generally available, providing more refined user permissions and improved data consistency in distributed environments. Significant improvements have been made to the BlockMax WAND algorithm, offering up to a tenfold increase in search performance by optimizing keyword and hybrid search through block organization of the inverted index. While some features like multi-vector embeddings and BlockMax WAND remain in technical preview, the release aims to enhance search precision, user access management, and data replication efficiency. Users are encouraged to explore these updates on GitHub and Weaviate Cloud, with tutorials and resources available to facilitate the integration of these new capabilities into their applications.