Nexus GA: It's the Knowledge, Not the Models

This post announces the General Availability (GA) of Pinecone Nexus, a managed knowledge layer for AI applications. It details the system's architecture, which compiles enterprise knowledge into a governed layer ahead of time, moving retrieval work out of the per-query loop. Key components include the Manifest (SME-defined knowledge structure), the compiled knowledge layer (summaries, structured extracts, entity-and-relationship graphs), and KnowQL (a declarative query language for agents). The post presents benchmark results showing significant reductions in tool and model calls, leading to lower costs and improved accuracy for LLMs. It also highlights how Nexus addresses common enterprise agent failure points: accuracy stalls, high token bills, high latency, and lack of citations. The system's ability to keep knowledge current incrementally and adapt to business changes is emphasized. Pinecone's internal use case demonstrates a substantial increase in support ticket resolution rates.