I’ve seen it happen: CEOs pasting sensitive client contracts into standard ChatGPT to get a summary. Stop. You’re potentially training a public model on your private data. Here’s a better approach: Self-Hosted RAG Agents. We spin up a private Vector Database (like Pinecone or pgvector) on your own server. The AI ‘reads’ your data, but never ‘learns’ from it for the public. It lives in a walled garden. You get the intelligence of LLMs without the data leak risk.
vectorDb = Pinecone.create_index('my_index')
rag = n8n.create_workflow('my_workflow')
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