Pinecone

Pinecone is a fully managed, serverless vector database built to power high‑quality retrieval for AI applications at production scale. It stores and searches dense and sparse vector embeddings with low latency and high recall, making it ideal for RAG, semantic search, recommendations, and AI agents. With automatic scaling, real‑time indexing, and dedicated read nodes when needed, Pinecone removes the operational burden of provisioning, sharding, and tuning—so teams can focus on building great AI products instead of managing infrastructure. Engineers, data scientists, and platform teams at startups and enterprises use Pinecone to deliver relevant results over dynamic datasets across clouds and regions. Pinecone integrates hosted embedding models and rerankers, supports hybrid search (dense + sparse + keyword), and offers enterprise‑grade controls like SSO, RBAC, private networking, CMEK, backups, and a 99.95% uptime SLA on Enterprise. Usage‑based pricing with a generous free tier, a self‑serve standard plan, and a private BYOC deployment option provide flexible paths from prototype to mission‑critical production. Customers like Gong report 10x cost savings after moving to Pinecone serverless, while running billions of vectors with consistent performance.