You’ve heard “RAG” and “vector search.” Here’s what they actually mean for your business — without the jargon.
The hallucination problem
A raw language model will happily invent a fee or a policy if you let it. For a business, that’s unacceptable. The fix is to never let it answer from memory — only from your documents.
What a knowledge base does
You upload your rate card, menu, brochures, and FAQs. Nudge splits them into chunks and indexes them. When a customer asks a question, it retrieves the most relevant chunks and answers strictly from those — citing your content, not guessing.
Why “vector search” matters
Customers don’t use your exact words. Vector search matches meaning, not keywords — so “how much for the morning batch?” still finds the right line in your rate card. That’s what makes retrieval feel like it understands.
The practical upshot
The better your uploaded documents, the sharper the AI. Garbage in, garbage out — but accurate rate cards in, accurate quotes out.
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