RAG for AI Agents: Knowledge Layer Architecture Guide

What's really happening inside the AI agent memory infrastructure war?

The common story is that bigger context windows and better vector search will solve it — but the reality is every serious infrastructure vendor is racing to fix a deeper problem that classic RAG can't touch.

In this video, I share the inside scoop on why memory is now the real battleground for production AI agents:

• Why classic RAG was built for chatbots, not agents

• How Pinecone, PageIndex, SAP, and GraphRAG attack different shapes

• What a retrieval contract actually looks like for AI agents

• Where most agent builds quietly waste their token budget

Builders who write down what their agent needs before picking a database will ship reliable systems — the ones who shop vendor-first will keep paying for rediscovery on every run.

Subscribe for daily AI strategy and news.

For deeper playbooks and analysis: https://natesnewsletter.substack.com/

Hosted on Acast. See acast.com/privacy for more information.