What is RAG? AI chatbots that answer from your own data

One of the most common questions about AI chatbots is: how does it actually know anything about my business? The answer is often RAG — Retrieval-Augmented Generation. It sounds technical, but the concept is simple: the chatbot is given access to your own documents and data, and answers based on them.

Why your chatbot needs RAG

A standard chatbot answers from what it was trained on — general knowledge, not your business. A RAG chatbot, on the other hand, retrieves the relevant information from your FAQs, prices, product catalogue and documents, and builds its answer on top of it. The result: accurate answers based on your data — not generic guesses.

How DreamItAI builds a RAG chatbot

• We gather your documents and information
• The data is structured and made searchable for the AI
• The chatbot is built with access to your systems
• It is deployed on your website or in your system

What can a RAG chatbot do for you?

Customers get answers about prices, delivery, status and products around the clock — using your company's own information. Employees can get answers from your internal documents without having to search. And you can measure everything: what people ask about, and how well the questions are answered.

Want a chatbot that knows your business? Book a meeting here.