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Hands-On Workshop: Build Hybrid Search Apps with Milvus 2.5 Milvus 2.5 introduces text search by introducing native full text search capabilities, seamlessly combining term-based matching with vector similarity in a single system. This feature automatically handles text-to-vector conversion and real-time BM25 scoring, eliminating the complexity of manual embedding generation and external processing pipelines. Topics Covered How to implement powerful hybrid search solutions with just raw text input Techniques for enhancing Retrieval-Augmented Generation (RAG) applications Steps to leverage BM25 scoring for improved search relevance Methods to combine semantic and term-based search for optimal results Perfect for developers looking to build more accurate search applications or enhance their RAG systems while significantly reducing implementation complexity and maintenance overhead. ▼ ▽ LINKS & RESOURCES Slides: https://www.slideshare.net/slideshow/... Milvus 2.5: https://milvus.io/blog/introduce-milv... Getting Started with Hybrid Semantic / Full text Search: https://milvus.io/blog/get-started-wi... Full-text search: https://milvus.io/docs/full-text-sear... ▼ ▽ JOIN THE COMMUNITY - MILVUS Discord channel Join this active community of Milvus users to get help, learn tips and tricks on how to use Milvus, or just get to be part of a vibrant community of smart developers! / discord ▶ CONNECT WITH US X: / zilliz_universe LINKEDIN: / zilliz ZILLIZ WEBSITE: https://zilliz.com/ MILVUS WEBSITE: https://milvus.io/