Pinecone (Vector Database) Cheat Sheet

Pinecone is a fully managed, cloud-native vector database designed to store and query high-dimensional vector embeddings at production scale. It sits at the heart of modern AI pipelines — enabling semantic search, retrieval-augmented generation (RAG), recommendation engines, and anomaly detection — by finding the nearest neighbors of a query vector in milliseconds across billions of records. The critical mental model is that Pinecone is not a general-purpose database: you choose your distance metric and dimensionality at index-creation time and cannot change them, so aligning those choices with your embedding model upfront is the single most important architectural decision.