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A managed, production-grade vector database for storing, indexing, and querying large-scale embeddings with low-latency semantic search.
A managed, production-grade vector database for storing, indexing, and querying large-scale embeddings with low-latency semantic search.
Pinecone is a fully managed vector database designed to store, index, and query high-dimensional vector embeddings at production scale. It provides low-latency similarity search across billions of items via simple API calls and SDKs, enabling retrieval-augmented generation, semantic search, recommendation systems, and other embedding-based workflows. Pinecone exposes REST and gRPC endpoints with public OpenAPI specifications, integrates with RAG frameworks and developer tools, and focuses on scalability, reliability, and production-ready operations for knowledge-centric AI applications.