How do vector databases work and what should you consider when choosing one?

Vector DBs store embeddings and support approximate nearest neighbor (ANN) search. Consider: - Index type and recall/latency trade-offs - Filtering + hybrid search (keyword + vector) - Update frequency and reindexing - Multi-tenant isolation and cost Choose based on workload: query volume, freshness needs, and filter complexity.