Pinecone

Pinecone is a managed vector database purpose-built for AI applications, particularly retrieval-augmented generation (RAG) and semantic search. Pinecone enables developers to store, index, and query high-dimensional vector embeddings at scale with low latency — a foundational capability for grounding AI agents in real-world data.

Vector databases like Pinecone are essential infrastructure for the agentic economy because they power the memory and retrieval systems that agents depend on. When an agent needs to find relevant context from a knowledge base, answer questions about documents, or recall previous interactions, it queries vector embeddings stored in systems like Pinecone.

Pinecone's fully managed, serverless architecture has made it one of the most widely-adopted vector databases, serving as the retrieval layer for thousands of AI applications and agent systems.