Weaviate 1.27 Release

Weaviate 1.27 introduces several key updates, including significant improvements to filtered search performance through a new ACORN filtering strategy, which enhances the efficiency of negatively correlated filtered HNSW searches by ignoring objects that do not meet filters and optimizing the HNSW graph traversal. Multi-target vector search has been enhanced to support repeated searches within the same vector field, offering more flexibility. The update also includes support for Jina AI's V3 embeddings, which provide multilingual and efficient retrieval capabilities, and introduces a backup cancellation feature to prevent unwanted backups. Additionally, there are updates such as case-sensitive vectorization, renaming of Google modules, and improvements in product quantization training set sampling, all aimed at enhancing reliability and performance. These updates are part of Weaviate's continuous efforts to improve its database capabilities and user experience, with the release available open-source on GitHub and for new Sandboxes on Weaviate Cloud.

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