New Release Delivers 30X Faster Performance While Unifying Vector and Keyword Search SAN FRANCISCO, Dec.17, 2024 (GLOBE NEWSWIRE) -- Zilliz, the company behind the open-source vector database Milvus, today announced the release of Milvus 2.5, which includes powerful advancements to hybrid vector and keyword search capabilities that process queries 30 times faster than traditional solutions while eliminating the need for separate vector and keyword search systems.Available now, Milvus 2.5 marks a significant advancement in making sophisticated AI-powered search accessible to organizations of all sizes.
Traditionally, organizations implementing hybrid search have been forced to maintain two separate systems - one for semantic search and another for keyword search - resulting in duplicate infrastructure, complex integrations, and increased operational costs.Milvus 2.5 solves this challenge through an innovative approach that unifies both capabilities in a single, high-performance platform.
Unlike basic hybrid implementations, Milvus 2.5 maintains high accuracy even as document collections grow and change over time, automatically adapting to new terminology and specialized vocabulary across any industry or domain.Milvus 2.5's hybrid search provides benefits including: Unified Infrastructure: Managing one system rather than two minimizes operational complexity while saving organizations time and resources, including less context switching and no need to master two different sets of APIs.
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