Pinecone

What is Pinecone?

Pinecone is the most widely used managed vector database, purpose-built for similarity search and retrieval-augmented generation (RAG). It offers serverless and pod-based architectures, supporting billions of vectors with single-digit millisecond query latency. Pinecone provides metadata filtering, namespaces, and hybrid search combining dense and sparse vectors. Its managed service eliminates infrastructure complexity, making it the go-to choice for teams building semantic search, recommendation engines, and RAG-powered AI applications.

Key Features

• ✓Fully managed serverless vector database
• ✓Hybrid search with sparse and dense vectors
• ✓Metadata filtering
• ✓Namespaces for multi-tenancy
• ✓Real-time index updates

Common Use Cases

Engineering teams building production AI applications that need managed, scalable vector search

• •Production RAG pipelines
• •Semantic search at scale
• •Recommendation systems
• •Multi-tenant SaaS AI features
• •Real-time personalization