A generic public model knows everything about the world and nothing about your business. It cannot cite your contracts, policies, or product docs, and it guesses when it should stay silent.
Private RAG fixes the gap. The flow is simple and powerful:
query -> retrieve relevant chunks from YOUR kb
-> generate answer grounded in those chunks
-> return answer + source citations
Because it runs on your content within your control, you get accuracy, security, and an audit trail that a raw public model cannot provide. That is why private RAG is becoming the default base layer instead of an add-on.
CustomGPT.ai is built on this private RAG approach, letting you deploy AI on your own documents without exposing the data publicly.
If your stack starts with a generic model and bolts knowledge on later, you built on the wrong foundation.
Read more: https://www.sortresume.ai/why-private-rag-is-becoming-the-foundation-of-enterprise-ai/
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