I will build a custom ai chatbot to chat with your PDF documents and knowledge base

R
rta_ai
R
rta_ai
Muhammad Tayyab

About this gig

Turn any PDF into an intelligent AI assistant ask questions, get instant cited answers.

I build RAG (Retrieval-Augmented Generation) chatbots that let you upload documents and interact with them through natural language. Built on LLaMA 3.3, LangChain, and ChromaDB production-ready, not a tutorial project.

What you get:

  • Ask questions and get accurate, cited answers from your documents
  • Summarize any document instantly
  • Generate quizzes from document content
  • Extract specific topics on demand
  • Deployed as a live web app (Hugging Face or Streamlit)
  • Full source code delivered

My edge: I built DocuMind a live RAG system already deployed on Hugging Face as a working CS educator and AI developer. I understand both the technology and the real-world problem it solves.

Use cases: Research assistants, internal knowledge bases, educational tools, business document Q&A, legal/medical document search.

Stack: Python · LLaMA 3.3 · LangChain · ChromaDB · Streamlit · Hugging Face · Groq API

Message me before ordering to discuss your specific document type and use case.

Get to know Muhammad Tayyab

Muhammad Tayyab

AI Developer RAG Chatbots, LLM Apps, AI Grading and Educational AI Solutions

  • FromPakistan
  • Member sinceMay 2026
  • Languages

    Urdu, English
I build RAG chatbots, AI grading tools, and quiz generators for education and business. My edge: I am a CS educator and examiner with 20 years of experience who also builds the AI. I created TaleemCheck AI as a working teacher to fix the grading workload I face daily. DocuMind is a production RAG system I built and deployed. Deliverables: RAG chat assistants, LLM apps, AI grading, quiz generators, Python automation. Stack: Python, LLaMA 3.3, GPT-family, LangChain, ChromaDB, Streamlit, Hugging Face. MSCS CS, NCEAC-HEC Top Performer, Harvard CS50 AI, Andrew Ng ML Specialization.

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