RAG chatbots: why they don’t make things up
SoftsGrid TeamUpdated 1 min read
The problem with generic chatbots
A general AI model answers from what it learned in training, which may be outdated or simply wrong for your business.
How RAG works
- Your documents are split into small passages and indexed.
- When someone asks a question, the most relevant passages are found.
- The AI writes the answer using only those passages, and links to them.
What makes a good RAG assistant
- Clean, current source documents
- Answers that show where they came from
- A handover to a person when the assistant is not sure
- Testing with real questions before launch
Frequently asked questions
Is my data safe with a RAG chatbot?
It can be. Use providers that do not train on your data, control who can see which documents and keep logs of what was asked.