---
type: "GlossaryTerm"
title: "Vector Database"
description: "Specialized database for high-dimensional vectors (embeddings). Enables semantic similarity search instead of exact keyword matches. Core infrastructure for RAG"
resource: "https://www.contextstudios.ai/glossary/vector-database"
language: "en"
tags: ["infrastructure"]
generated:
  by: "process:contextstudios-md/1"
  at: "2026-10-08T20:44:19.048Z"
status: "stable"
---

# Vector Database

Specialized database for high-dimensional vectors (embeddings). Enables semantic similarity search instead of exact keyword matches. Core infrastructure for RAG, recommendation systems, and multimodal search. Leading solutions: Pinecone, Weaviate, Qdrant, Chroma, pgvector.

## Business Value



Makes your unstructured data (documents, images, audio) searchable by meaning, not just keywords.

## Context Studios Perspective



We choose the right vector database based on your use case: Pinecone for scale, pgvector for PostgreSQL integration, Chroma for rapid prototyping.