AI Quick Reference

Practical references for vector data lakes, Milvus components, retrieval indexes, AI agents, data curation, and production systems. Browse questions by topic.

• What is a vector database, and when do you need one?
• What is vector search?
• What are embeddings in vector search?
• How do you choose an embedding model for retrieval?
• How do cosine similarity, inner product, and L2 differ?
• What are dense and sparse embeddings?
• What are multimodal embeddings?
• What is multi-vector retrieval, and how do MaxSim and MUVERA work?