Pinecone, founded in 2019 by Edo Liberty, a former head of Amazon AI Labs, built one of the first fully managed vector databases, storing the numerical embeddings that let an AI system search by meaning rather than exact keyword match, the retrieval layer underneath most production RAG systems and AI agents that need to search a company's own documents.
That early focus on a fully managed, serverless experience, rather than requiring a team to run its own vector search infrastructure, helped Pinecone become one of the most widely adopted vector databases as retrieval-augmented generation moved from research demos into production systems, backed by a $100 million Series B at a $750 million valuation in 2023.
A free Starter tier covers building and testing without a monthly minimum, while the usage-based Standard plan carries a $50 monthly minimum covering storage and read/write operations at scale. For a developer or team building a RAG system or AI agent that needs to search its own documents by meaning rather than exact keywords, without running vector search infrastructure itself, Pinecone's managed retrieval layer addresses that directly.
