---
type: Glossary Term
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"
category: infrastructure
language: en
timestamp: "2026-07-01T13:56:40.026Z"
---

# 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.