Pinecone is a fully managed, serverless vector database designed for production-grade AI workloads, including semantic search, retrieval-augmented generation (RAG), and AI assistants. It provides fast approximate nearest-neighbor search on high-dimensional vectors, real-time indexing of upserts/updates, and hybrid retrieval that combines dense embeddings with sparse or full-text signals. It offers integrated embedding and inference features (hosted embedding models, reranking, Pinecone Assistant), plus namespaces, metadata filters, and mixing semantic with lexical search. Dedicated Read Nodes (DRN) deliver predictable low-latency, high-QPS workloads, and the Bring-Your-Own-Cloud option supports private cloud deployments. SDKs for Python, Node.js, Java, Go, .NET, and Rust, along with API endpoints for vector operations and inference, cover common developer workflows.