Compare
RAG vs Generic Chatbots
Generic chatbots improvise. Digicane RAG retrieves your documents first and cites sources so answers stay grounded.
| Dimension | Digicane | Alternative |
|---|---|---|
| Truth source | Your indexed SOPs, PDFs, wikis | Model priors + thin FAQs |
| Citations | Multi-source cites for verification | Rarely cite enterprise docs |
| Best fit | Policy, SOP, and product knowledge Q&A | Casual FAQ with low risk |
Frequently asked questions
Is RAG just a chatbot wrapper?+
No — retrieval, reranking, evaluation, and citation UX are the product, not only the chat UI.
What if the answer is not in our docs?+
Systems should refuse or escalate rather than invent — Digicane designs for that behavior.
See Digicane on your workflow
Book a walkthrough with Digicane engineers for your use case.