Pinecone

About Pinecone

Pinecone is a fully managed vector database built for production AI applications, founded in 2019 by Edo Liberty (former Amazon AI director) and publicly launched in 2021. Pinecone's defining characteristic is operational simplicity — developers get a fully managed, serverless vector search infrastructure with no indexes to tune, no clusters to manage, and autoscaling built in. Pinecone's API is intentionally minimal: create an index (specify dimension and metric), upsert vectors with IDs and metadata, and query by similarity in milliseconds. Pinecone supports cosine similarity, dot product, and Euclidean distance for different embedding types. Pinecone's namespaces provide logical data partitioning within a single index — useful for multi-tenant applications separating customer data without separate indexes. Metadata filtering allows post-filtering vector results by structured attributes (category, date, user_id) without a separate database query. Pinecone Serverless (2024) eliminated the pod-based pricing model in favor of usage-based billing on storage and reads, dramatically reducing costs for sparse workloads. Pinecone's Assistant (2024) adds managed RAG as a product layer — upload documents, Pinecone handles chunking, embedding, indexing, and query synthesis with any LLM. Pinecone raised $100M in 2023 at a $750M valuation and powers vector search at companies including Shopify, Notion, Brex, and Gong. Pinecone integrates with LangChain, LlamaIndex, Hugging Face, and all major LLM providers.