Intermediate

Pinecone Vector Database

Master Pinecone — the fully managed vector database. Learn cloud deployment, cost optimization, pod vs serverless, and production best practices.

What you'll learn

Set up Pinecone accounts and manage API keys across environments

Create and configure indexes with proper sizing for your workload

Understand the difference between pods and serverless pricing models

Implement metadata filtering and understand its limitations

Optimize costs through proper index sizing and model selection

Monitor query performance and resource utilization

Implement backup and migration strategies for vector data

Apply security best practices for production deployments

Course content

6 sections · 18 articles · 6h total

Course OverviewArticle

Course RoadmapArticle

Account Setup & API KeysArticle

Your First IndexArticle

SDK & Client SetupArticle

Pinecone ArchitectureArticle

Pods vs ServerlessArticle

Metadata & FilteringArticle

Index Types & MetricsArticle

Index Sizing GuideArticle

Scaling & ReplicasArticle

Understanding PricingArticle

Cost Optimization StrategiesArticle

When to Use ServerlessArticle

Monitoring & AlertsArticle

Backup & MigrationArticle

Security Best PracticesArticle

TroubleshootingArticle

Prerequisites

Basic Linux command line knowledge
Docker and Docker Compose fundamentals
Understanding of JSON and REST APIs

Docker Engine or Docker DesktopInstall or Podman

Container runtime required for all labs in this course.

Docker ComposeInstall or Podman Compose

Multi-container orchestration used in every hands-on exercise.