A fully managed vector database for storing and querying embeddings at scale, built for retrieval-augmented and agent-based AI applications.
What it does
Pinecone is a managed vector database designed to power AI applications that need fast, accurate similarity search over large amounts of embedded data. It handles automatic indexing, real-time writes, and consistent low-latency queries at scale, and is used for use cases like AI agent memory, semantic search, and recommendations.
Core features
Fully managed vector storage with automatic index tuning
Sub-100ms write acknowledgment with near-instant searchability
Metadata filtering integrated directly into vector queries
Dense, sparse and full-text index support
Namespace isolation for per-agent or per-user memory
Enterprise security features like SSO, RBAC, CMEK and private networking
Best for
→Powering retrieval-augmented generation (RAG) pipelines
→Giving AI agents isolated, scalable long-term memory
→Building large-scale semantic search over documents or products
→Serving real-time recommendation systems with filtered vector queries
Pricing
Starter
$0
Builder
$20/month
Standard
$50/month
Enterprise
$500/month
Toolspool rankingby global site rank
Reviews
Big-picture takes: what it's for and whether it delivers. High-engagement YouTube videos — not sponsored.
Tutorials
Step-by-step: exactly how to get things done with it.