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V

AI CONCEPTS

Vector Database

Also known as: Vector Store, Vector DB

Definition

A vector database stores and searches embeddings — mathematical representations of meaning. Unlike traditional databases that match exact keywords, vector databases find semantically similar items.

Simple Explanation

Traditional search is like finding a word in a book index. Vector search is like asking 'find pages related to what I'm thinking about.' It finds meaning, not just strings.

Real-World Use Case

Your company has 10,000 support tickets. You want to find all tickets 'similar to the one Sarah filed yesterday.' A vector database instantly finds them by semantic similarity.

Examples

PineconeMilvusWeaviateChromapgvector (PostgreSQL)Supabase pgvector

Related Terms

Embedding →RAG →Semantic Search

Learn More

  • Pinecone Documentation
  • Chroma Getting Started

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