Pinecone

Pinecone is a fully managed, serverless vector database for storing embeddings and running fast similarity search, widely used for RAG, semantic search, and agent memory. It handles scaling and operations for you and bills based on usage. It is proprietary and cannot be self-hosted.

Pinecone is a proprietary, fully managed vector database designed to store and search high-dimensional embeddings at scale. It is a foundational component for retrieval-augmented generation (RAG), semantic search, recommendation, and agent memory use cases, letting developers add vectors and run low-latency similarity queries through a simple API without operating any infrastructure. Pinecone popularized the serverless vector database model, where storage and compute scale independently and you pay for what you use rather than provisioning fixed pods. It offers hybrid search combining dense and sparse vectors, metadata filtering, namespaces for multi-tenancy, and integrated inference for embedding and reranking. Its focus is operational simplicity and reliability at large scale. Unlike several competitors, Pinecone is not open source and cannot be self-hosted, which is a deliberate tradeoff: you get a hands-off managed service in exchange for vendor lock-in and usage-based billing that can become hard to predict at scale. It remains one of the most widely adopted vector databases, particularly among teams that prioritize not running their own data infrastructure.