Milvus Vector Search

Milvus is an open-source vector database optimized for searching embeddings (vectors representing text, images, or entities). You generate embeddings with LLMs or other models, store in Milvus, and query for semantic similarity. Used for recommendation engines (find similar products), semantic search (understand intent not keywords), and RAG (retrieval-augmented generation for LLMs). Senior practitioners earn 140-210k USD. Mastery takes 8-12 weeks. Growing 50% YoY as LLMs and embeddings become standard. It's a specialization with 3-5 year runway: companies building semantic AI will need vector database experts.