Pinecone
Purpose-built vector database for AI
About Pinecone
Pinecone is the leading purpose-built vector database for AI applications. Founded in 2019 by Edo Liberty (former director of Amazon's AI Labs), Pinecone provides the infrastructure that powers semantic search, retrieval-augmented generation (RAG), and recommendation systems across thousands of enterprises.
Vector databases store and search high-dimensional embeddings — the numerical representations that AI models use to understand meaning. When an enterprise builds a RAG system (connecting an LLM to company data), the vector database is what makes it possible to find relevant documents based on semantic meaning rather than keyword matching.
Pinecone's managed service handles the complexity of vector storage, indexing, and search at scale, with features like metadata filtering, hybrid search, and namespace isolation. The company serves 10,000+ organizations building AI-powered search, chatbots, and recommendation systems.
Products & Services
Pinecone Database
Managed vector database for AI applications. Stores and searches embeddings with sub-millisecond latency at any scale.
DatabasePinecone Serverless
Pay-per-use vector database that scales automatically. Up to 50x cost reduction for intermittent workloads.
Cloud ServicePinecone Assistant
RAG-as-a-service that connects your documents to an AI assistant with a single API call.
AI ProductLeadership
Notable Achievements
- ✓ Leading vector database with 10,000+ organizations
- ✓ Powers RAG systems for enterprises including Shopify, HubSpot, and Notion
- ✓ Pinecone Serverless reduced costs up to 50x
- ✓ Founded by former head of Amazon AI Labs
- ✓ $100M Series B at $750M valuation
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