AI & Machine Learning

Pinecone

4.62

provides a managed vector database purpose-built for machine learning applications, powering similarity search at scale.

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Pinecone was founded in 2019 by Edo Liberty, a former head of Amazon’s AI Labs, in New York City. The company builds a fully managed vector database designed to store, index, and query high-dimensional vector embeddings — the numerical representations that AI models use to understand meaning.

Pinecone raised over $138 million, including a $100 million Series B led by Andreessen Horowitz in 2023 at a $750 million valuation. The surge in funding coincided with the explosion of retrieval-augmented generation (RAG) applications after ChatGPT’s launch.

The platform handles billions of vectors with low-latency queries, making it a go-to choice for developers building semantic search, recommendation systems, and AI chatbots that need to reference external knowledge. Pinecone’s serverless architecture means developers don’t need to manage infrastructure or tune database parameters.

With tens of thousands of developers and companies using the platform — including Shopify, Hubspot, and Notion — Pinecone has become one of the defining companies in the vector database category. Their focus on a managed, cloud-native experience differentiates them from open-source alternatives like Milvus or FAISS, especially for teams that want production-ready performance without operational overhead.