Pinecone

Pinecone is a fully managed vector database that lets developers store, index, and search billions of high-dimensional embeddings at millisecond latency. Behind the scenes, it shards vectors across distributed FAISS-based indexes, adds approximate-nearest-neighbor search with HNSW or IVF-PQ, and replicates data for fault tolerance. The service exposes a simple REST and Python client—pinecone.init, index.upsert, index.query—handling scaling, metadata filtering, and namespace isolation without DevOps overhead. Built-in streaming upserts, pod auto-scaling, and server-side filtering enable real-time personalization and Retrieval-Augmented Generation (RAG) pipelines. Usage metrics and cost tracking appear in a web console, while role-based access and optional SOC 2 compliance meet enterprise security. By offloading vector infrastructure, Pinecone lets teams focus on embedding quality and prompt design, not search ops.