Pinecone

Teams that want vector search without operating their own infrastructure use Pinecone, a fully managed, closed-source vector database for production AI applications. Its serverless architecture separates storage from compute, so indexes scale automatically toward billions of vectors and thousands of queries per second with no capacity planning, and new writes become searchable within seconds. Queries can combine dense vector similarity with keyword and full-text matching, metadata filtering, and namespaces, and the platform layers on hosted embedding and reranking models plus MCP servers for agent integrations. The core engine relies on proprietary Rust implementations of approximate nearest neighbor search tuned for low latency. Pricing is usage based across Starter, Standard, and Enterprise tiers, with a free entry level. The company reports more than 9,000 customers across finance, legal, healthcare, and SaaS, typically building RAG pipelines, recommendation systems, and AI agents.