RAG matters because it grounds the AI. A model answering from memory alone will confidently fill gaps with plausible-sounding inventions; a RAG system answers from retrieved source material, can cite where an answer came from, and can say "I'm not sure" when the sources contain nothing relevant.
For business chatbots, RAG is what makes "trained on your website" real: the site's pages are stored as searchable passages, the visitor's question retrieves the relevant ones, and the answer is composed from what the business actually says.
Clerkzo is built on this approach. Answers come from your crawled pages and uploaded documents, sources can be shown under each answer, and when the content genuinely doesn't cover a question, the agent says so and offers your team instead of guessing.
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Related terms
Browse all 104 terms- Lead generationLead generation is the process of attracting potential customers and collecting their interest, so a business has people to follow up with and convert.
- Prompt injectionPrompt injection is an attack where a user types instructions to an AI system, like "ignore your previous instructions," attempting to trick it into abandoning its rules and behaving outside its intended job.
- Customer self-serviceCustomer self-service is letting customers find answers and complete simple tasks on their own, like checking prices, confirming service areas, or requesting a booking, without needing a staff member to respond.
- After-hours answeringAfter-hours answering is covering customer enquiries that arrive outside business hours, evenings, weekends, and holidays, so those customers get a response instead of moving on to a competitor.