The difference between a generic AI chatbot and one that actually helps your customers is training. Chatsloop uses Retrieval-Augmented Generation (RAG) — which means your chatbot answers questions based on what you've told it, not based on guesswork.
Traditional AI chatbots rely entirely on their pre-trained knowledge. They often hallucinate — making up answers that sound plausible but are completely wrong.
RAG fixes this by giving the AI a specific knowledge base — your website content, documents, and FAQs — and instructing it to only answer from that source. If the answer isn't in your content, it says so honestly.
The fastest way to train your chatbot is to let Chatsloop crawl your website.
https://yoursite.com)Chatsloop will visit every public page and extract the text content. For most sites, this takes 2–10 minutes.
What gets indexed: Page text, headings, product descriptions, service pages, FAQ pages, blog posts, contact info.
What doesn't get indexed: Content inside images, content behind login walls, dynamically loaded content (use manual content instead).
Have a product manual, service brochure, or rate card? Upload it directly.
Useful for: price lists, terms and conditions, product specifications, and onboarding guides.
Add specific question-and-answer pairs that may not appear clearly on your website.
This is especially useful for:
Have content in a Google Doc or Word file? Paste it directly into the text input field under Knowledge → Custom Text.
Your website changes. Your chatbot should too.
After training, go to the Preview tab and ask your chatbot the questions your customers ask most. If an answer is wrong or incomplete, check your source content — either add missing information or create a Q&A pair to override it.
Accurate training is the single biggest factor in chatbot performance. Spend 20 minutes here and your chatbot will handle 80% of your customer queries correctly.
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