I will build a rag chatbot over your documents with cited answers

M
mohammedammar20
M
mohammedammar20
Mohammed A.

About this gig

Most chatbots confidently answer questions they were never taught. Mine don't. They answer strictly from YOUR documents, cite sources inline, and say "that's not in the knowledge base" when it isn't.


Try a live demo before you order: https://llm-handbook-five.vercel.app


What you get:

  • A real coded RAG pipeline (Python/TypeScript, LangChain), not a no-code wrapper
  • Inline [1][2] citations linked to your source documents
  • Honest refusals with a relevance threshold: no hallucinated answers
  • Deployed to your infrastructure (Vercel, Cloudflare, AWS) or mine
  • Full source code and clean handover docs


For founders and teams who need support bots, internal knowledge assistants, or documentation Q&A they can trust.


How we work: fully async, in writing, with a work-in-progress draft mid-project. You bring your documents and an OpenAI or Gemini API key. I'll show you how to get one free, you pay the provider directly, and I never take custody of your key.


Premium adds an eval harness measuring groundedness, retrieval hit rate, citation validity and latency, so you can SEE the quality rather than take my word for it.


Get to know Mohammed A.

Mohammed A.

AI Developer: Chatbots, RAG and LLM Agents

  • FromEgypt
  • Member sinceAug 2026
  • Languages

    Arabic, English
Senior software engineer building production AI systems professionally — everything listed above is shipped work, not tutorials. I take small, fixed-scope projects and deliver deployed, working software, communicating clearly and fast in writing.

My Portfolio