I will build a rag ai chatbot trained on your documents and website data

I build retrieval-augmented chatbots that answer from your actual content - your PDFs, your help docs, your website, your database - and cite where each answer came from.

The difference matters. A prompt-only chatbot invents answers. A RAG system retrieves the real passage first and answers from it, so when a customer asks about your refund window they get your refund window, with a link to the page it came from.

What you get:

Your documents chunked, embedded and stored in a vector database

Retrieval tuned so answers stay grounded in your content

An embeddable chat widget that matches your site

An admin panel to upload and remove documents without calling me

Source citations on every answer, so nothing is a black box

Typical uses: customer support deflection, internal knowledge bases, staff onboarding assistants, and product documentation search.

I have built RAG pipelines connecting language models to real document and video data, including vector search systems running in production.

Message me with what you want it to answer questions about and roughly how much content there is, and I will tell you which package fits before you order.