Weaviate 1.37 Release
Blog post from Weaviate
Weaviate v1.37 introduces new features and enhancements designed to extend its functionality and integration capabilities, particularly with AI agents and large-scale data operations. Key updates include the preview release of a built-in Model Context Protocol (MCP) server, enabling AI agents and IDEs to interact natively with the database, and Extensible Tokenizers offering accent folding and custom stopword presets for improved text analysis. Diversity Search with Maximum Marginal Relevance (MMR) provides query-time reranking to enhance result diversity, while Query Profiling offers detailed timing breakdowns for performance analysis. Incremental Backups streamline data management by storing references to unchanged files, reducing storage needs and speeding up the backup process. Additionally, support for audio as a modality in the multi2vec-google module and the BlobHash property type for efficient media vectorization are introduced. These features are available open-source and on Weaviate Cloud, with detailed guidance for those upgrading self-hosted versions.