Retrieval-augmented generation fetches relevant passages from your own content and hands them to the model as grounding before it answers. If your chatbot must be accurate about your product, policies or data, you need RAG or something like it. Without grounding, the model improvises, confidently.
Have a question specific to your product?
Share the context and I will reply with a practical next step.