Vector Database
A database optimized for similarity search over high-dimensional embedding vectors — the backbone of RAG and semantic search.
Vector DBs index thousands to billions of embedding vectors and serve approximate-nearest-neighbour queries in milliseconds. The 2026 default for new projects is Postgres + pgvector (works with existing Postgres infra and now supports HNSW/IVF). Pinecone, Qdrant, Weaviate, and Milvus remain strong picks for >100M-vector workloads.
Related terms
An AI pattern that retrieves relevant documents from a vector database and injects them into the LLM prompt — so the model can answer from custom knowledge it was not trained on.
Dense numerical vector representations of text (or images, code, audio) where semantically similar inputs map to nearby vectors.
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