Catalog/AI & Automation/AI Chatbot Trained on Your Data

AI Chatbot Trained on Your Data

An AI chatbot that actually understands your product — trained on your docs, knowledge base, or database — not a generic GPT wrapper.

After purchase, we'll ask you about: What data source(s) will the chatbot be trained on?, Approximately how much content will you provide?, Where will the chatbot live?, and more.

Pricing

Choose Your Tier

All tiers include the same quality and communication — just different scope and delivery timelines.

Chatbot (Embed)

$3499
12 days
2 revisions
RAG pipeline (vector search + LLM)
Your data ingested and embedded
Embeddable chat widget
Fallback handling
Admin knowledge management
Conversation logs and analytics
Custom branding
Most Popular

Chatbot + Admin

$5499
16 days
3 revisions
RAG pipeline (vector search + LLM)
Your data ingested and embedded
Embeddable chat widget
Fallback handling
Admin knowledge management
Conversation logs and analytics
Custom branding

A Chatbot That Knows Your Product

Generic GPT wrappers answer questions about everything — and get your product wrong. We build RAG-powered chatbots that are grounded in your actual documentation, knowledge base, or product data. When a user asks a question, the answer comes from your content.

How It Works

  • Your documents and knowledge base are chunked and embedded
  • User questions retrieve the most relevant context
  • The AI answers using your content — not general training data
  • Fallback handling when the answer is not in your data
  • Admin interface to add, update, or remove knowledge
  • Usage and conversation logs

Frequently Asked Questions

We use a RAG (Retrieval-Augmented Generation) pipeline, not traditional model training. Your documents (PDFs, web pages, Notion docs, support articles, etc.) are processed, chunked, and stored in a vector database. When a user asks a question, the most relevant chunks are retrieved and sent to the AI model as context — so it answers based on your data, not just its training.

This approach is faster, cheaper, and more up-to-date than fine-tuning. You can add or update documents without retraining anything.

We configure the chatbot to respond honestly when it doesn't have a good answer — rather than hallucinating a plausible-sounding but incorrect response. The fallback message is customisable (e.g. "I don't have information on that — contact our support team at..."). We also build an admin view so you can see which questions the bot is struggling with and improve your knowledge base over time.

Still Have Questions?

Book a free 30-minute consultation and we'll scope out your project together.