Sergio ezequiel Chavez

Sergio ezequiel Chavez

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1d ago

At what point do you outgrow n8n and need to build a local/physical RAG?

Hey guys,

Quick question for those of you dealing with AI architecture and scaling.

Right now, we rely pretty heavily on n8n at our startup. It s been amazing for moving fast, tying APIs together, and automating workflows. But looking ahead, I'm trying to figure out the long-term play.

At what exact point does it make sense to move away from n8n (and paying for third-party LLM APIs) to actually build out a specialized, local RAG on physical hardware?

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