Pinecone Nexus
A Pinecone product that pre-organizes a company's documents into a structured layer AI agents can query directly, instead of searching raw text every time.
Pinecone Nexus is a “knowledge layer” for AI agents, built by the database company Pinecone. Instead of an agent searching through raw documents from scratch every time it gets a question, a slow and error-prone process called retrieval-augmented generation (RAG), Nexus pre-processes a company’s documents once into a structured, queryable form that an agent can ask precise questions against.
The idea behind it is that a lot of what looks like an unreliable AI agent is really a search problem, not a model problem: the agent is being handed messy, disorganized information and has to reconstruct context on every request. Give the same model better-organized knowledge instead of a bigger brain, and accuracy, speed, and cost can all improve at once.