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Pinecone

Purpose-built vector database for AI applications and semantic search.

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📋About Pinecone

Updated August 26, 2026

Pinecone is a vector database company founded in 2019 by Edo Liberty, former head of Amazon's AI research lab. The company provides a fully managed vector database optimized for AI applications, particularly retrieval-augmented generation (RAG), semantic search, and recommendation systems.

Pinecone's database stores and searches vector embeddings — the numerical representations that AI models use to understand meaning in text, images, and other data. When an AI application needs to find relevant information (for RAG, search, or recommendations), Pinecone provides fast, accurate similarity search across billions of vectors. The platform handles indexing, scaling, and infrastructure automatically, with sub-second query latency at production scale.

Pinecone is the most widely recognized dedicated vector database and was an early mover in the space, establishing brand recognition as the default choice for developers building RAG applications. The company competes with Weaviate, Qdrant, Chroma, and vector capabilities built into general-purpose databases (MongoDB Atlas, PostgreSQL with pgvector). Pinecone's fully managed approach and focus on operational simplicity make it popular with teams that want vector search without managing infrastructure.

🛠️Products & Tools (1)

PineconeVector Databases & RAG

The leading managed vector database for AI applications. Serverless pricing, 99.99% SLA, and billions of vectors at millisecond query speeds. Widely used in production RAG systems.

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