Hybrid Search with Milvus
Blog post from Zilliz
Milvus 2.4 introduces multi-vector search and hybrid search capabilities, allowing simultaneous queries across multiple vector fields and integrating the results with re-ranking strategies. Hybrid search is a process of conducting searches across various vector fields within the same dataset. This tutorial demonstrates how to leverage Milvus's hybrid search capabilities using the eSci dataset and BGE-M3 model. The steps include preparing the dataset, generating embeddings with BGE-M3, setting up a Milvus collection, inserting data into the collection, and executing hybrid searches in Milvus.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 17 | 2,800 | 287 | 106 | +39% |
| Serverless | 1 | 1,028 | 194 | 87 | +23% |
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.