Pinecone
by Pinecone Systems
FreemiumManaged vector database for building high-performance AI applications with semantic search, RAG, and recommendation systems.
Overview
Pinecone is a managed vector database purpose-built for AI applications. It stores and searches high-dimensional vector embeddings at scale, enabling semantic search, retrieval-augmented generation (RAG), recommendation engines, and anomaly detection with millisecond-level latency.
The serverless architecture eliminates infrastructure management — developers simply send vectors via a clean API and Pinecone handles indexing, scaling, and optimization automatically. Namespaces, metadata filtering, and sparse-dense hybrid search give developers fine-grained control over retrieval quality without operational overhead.
Pinecone is the go-to choice for AI engineers building production-grade semantic search and RAG systems. It integrates natively with LangChain, LlamaIndex, and major embedding providers, making it the most popular dedicated vector database in the AI development ecosystem.
Pricing
- 2GB storage, 100K vector reads/month, and up to 5 serverless indexes
- Pay-as-you-go pricing based on reads, writes, and storage
- No upfront commitment
- Dedicated infrastructure, SSO, audit logs, private endpoints, and SLA. *Free tier is generous for prototyping
- Costs scale with usage — predictability improves with reserved capacity.*