Vector Databases Explained: 7 Key Concepts for 2026
Last updated: April 2026 A vector database is a storage system optimized for indexing and searching high-dimensional numerical representations (embeddings) of text, images, or audio. Instead of matching exact keywords, it finds semantically similar items using approximate nearest-neighbor (ANN) algorithms like HNSW — making it the core retrieval engine behind every production RAG pipeline and … Read more