Weaviate, an open-source AI-native vector search engine, has released version 1.31.0, designed to handle over 10 billion objects in production deployments. The latest version addresses limitations encountered by other vector databases at scale, particularly with hybrid search and filtered queries. This guide focuses on enterprise deployment of Weaviate on Kubernetes, detailing configurations for hybrid search, multi-modal data, access control, and backup strategies, all supported by production-tested performance metrics. AI
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