Pinecone 2.0 — Edo Liberty, Pinecone

Modern AI agents often function like new employees lacking essential "tribal knowledge"—the specific culture, processes, and internal goals that define an organization. While general knowledge and RAG-based search address public and specific data, they fail to capture the evolving, contextual intelligence required for effective enterprise operations. Nexus introduces a persistent knowledge layer that utilizes a "manifest" to track domain-specific tasks and entities, moving beyond simple chat interfaces. By employing a runtime coding agent that generates and executes code to retrieve information, this system significantly reduces token consumption and latency while increasing accuracy. This approach shifts the paradigm from static data retrieval to an active, context-aware framework, allowing agents to maintain updated, company-specific intelligence that evolves alongside organizational changes.