Core Concepts

What Is a Vector Database?

A vector database is a system built to store embeddings and quickly find the items most similar to a query vector. By enabling fast similarity search over millions of vectors, it powers semantic search, recommendations, and retrieval-augmented generation, where relevant documents must be located before a model answers.