Pinecone

What Is a Vector Database?

A vector database stores data as high-dimensional numerical embeddings — mathematical representations of meaning. Unlike traditional databases that match exact values, vector databases find semantically similar results, making them essential for AI applications like semantic search, RAG pipelines, and recommendation engines.

Also see: Portkey

What Is Pinecone Used For?

Pinecone is used to store and query vector embeddings at scale — the core infrastructure layer for RAG (retrieval-augmented generation), semantic search, and similarity matching in production AI applications. It's fully managed, so no database administration is required.