Can I train a chatbot with my own data?

Yes. You can train a chatbot with your own data using Retrieval-Augmented Generation (RAG). This works by uploading your documents—PDFs, Notion pages, web content, or support articles—then converting them into embeddings stored in a vector database.

When users ask questions, the system retrieves the most relevant chunks of your content and sends them to a large language model like GPT-4 to generate answers. Because the AI only uses your verified documents to respond, it avoids hallucination and keeps sensitive information private.

Tools like Typebot combined with Flowise, or platforms like Chatbase, let you build custom knowledge base chatbots without coding. This ensures responses are grounded in your actual documentation rather than generic internet data.