RAG Is Dying — Pinecone Sees What’s Coming

Everyone keeps talking about better LLMs… but what if the real bottleneck isn’t the model anymore? In this video, I break down Pinecone Nexus — Pinecone’s new “Knowledge Engine” for AI agents — and explain why the future of AI may depend more on context engineering and knowledge retrieval than on larger models. We’ll cover: Why current RAG pipelines are inefficient Why AI agents waste huge amounts of tokens on retrieval loops What Pinecone Nexus and KnowQL actually do The idea of “compiled knowledge” for agents Why precompiled artifacts can improve latency and reduce token usage The hidden limitations nobody is talking about Whether this is a true paradigm shift… or just another enterprise AI abstraction layer My honest take: Pinecone is directionally right about the future of AI infrastructure — but I also think the marketing overstates how revolutionary this really is.