Most AI chatbots answer from whatever the model happens to know, so they make things up the moment a real user asks something specific. I build chatbots that answer only from your own content.

A RAG pipeline indexes your documents into a vector database. When a user asks a question, the bot retrieves the right content first, then generates the answer from that content, not from guesswork. If a question falls outside your knowledge base, it says so instead of inventing an answer.

Your documents, site, or database indexed into a vector database

Retrieval-first answers grounded in your real content

OpenAI, Claude, or Gemini, your choice of provider

Chat widget embedded into your existing app, or a standalone endpoint

Clean handoff logic for out-of-scope questions

Streaming responses so replies feel instant

I built this exact system for Echo, an AI support SaaS that held 60 live users on day one with zero dropped sessions, and for Form Flow, where a RAG assistant guides users field by field on financial forms.

You get a chatbot that sounds like it actually knows your business, because it only answers from your business.