Pinecone 2.0

Official Schedule Context

Autonomous agents are smart but don’t know your business or your objectives. That’s why most agents

in the enterprise remain stuck in retrieval loops, burning millions of tokens on processing raw

documents A shift from traditional retrieval systems + agents (aka RAG) to purpose-built knowledge

engines is underway. I'll talk about why moving reasoning upstream and compiling raw enterprise

data into specialized, task-specific context artifacts is critical to unlocking reliable agentic

workflows. And I'll show you how offloading knowledge management to a dedicated layer enables

engineering teams to achieve up to a 90% reduction in token consumption while drastically improving

task completion rates, speed, and accuracy.

No official session recording transcript was found by exact title match on the AI Engineer YouTube channel during this run.

Pending transcript synthesis when an official recording or confirmed matching video is available.