Pinecone Introduces Nexus Engine for Compiling Business Context into Structured Data for AI Agents
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Pinecone Nexus engine for AI agent knowledge, perfectly matches reader's focus on agent context and data.
Pinecone's newly GA Nexus Engine compiles scattered enterprise business context from sources like contracts, wikis, and support tickets into a structured query layer for AI agents, eliminating expensive per-query retrieval. Using workspaces, contexts, and manifests, domain experts define schemas upfront, and agents query via KnowQL—yielding 9–15× token reduction, 90% accuracy in data management (vs. 65% RAG), and perfect task completion in legal research vs. 6% for a coding agent. Built-in connectors support local files, Box, and OneLake, with Google Drive, Slack, GitHub, and S3 coming soon, along with BYOC deployment for compliance.