Scaling Search for AI: How Milvus Outperforms OpenSearch
Blog post from Zilliz
Milvus is an open-source vector database designed for scalable and high-performance vector search, specifically tailored for AI and large-scale data applications. It efficiently handles and searches billion-scale high-dimensional vectors, making it an excellent choice for AI-powered systems such as retrieval-augmented generation (RAG), image and video search, and recommendation engines. Milvus offers a wide range of search functionalities, including traditional full-text search, scalar filtering, hybrid search, and multimodal search capabilities. This comprehensive feature set allows Milvus to serve diverse search needs, making it a versatile and scalable platform for AI-driven and data-intensive applications.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 18 | 4,713 | 314 | 102 | +27% |
| RAG | 9 | 2,243 | 291 | 87 | +14% |
| Real-time | 1 | 4,539 | 1,016 | 242 | +4% |
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