I will build a custom ai chatbot trained on your documents using rag

Generic AI chatbots give generic answers. If you want a chatbot that actually knows YOUR business your documents, product info, FAQs, internal knowledge you need Retrieval-Augmented Generation (RAG), not just a ChatGPT wrapper.

I build custom AI chatbots trained on your own documents and data, so every answer is grounded in real information you provide not made up, not generic.

What I build:

A chatbot that reads and understands your PDFs, docs, FAQs, or website content

Accurate, context-aware answers pulled directly from YOUR data

Clean integration into a website widget, Slack, or standalone interface

Built using LangChain, vector databases and OpenAI/Claude APIs

Why RAG instead of a basic chatbot? A basic AI chatbot guesses. A RAG-based chatbot retrieves the actual relevant information from your documents before answering fewer wrong answers, no hallucinated facts.

My process: you share your documents, I build the retrieval pipeline, connect it to an LLM, test it for accuracy, and deliver it working with documentation.

I have hands-on production experience building RAG pipelines and AI agents as a Backend AI Engineering Intern, and I've built multiple RAG-b