I will build a custom ai chatbot that answers from your documents using rag

M
mh_hamim00
M
mh_hamim00
Mahmudul Hasan
build a custom ai chatbot that answers from your documents using rag
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build a custom ai chatbot that answers from your documents using rag
Full Screen
build a custom ai chatbot that answers from your documents using ragbuild a custom ai chatbot that answers from your documents using rag

About this gig

WHAT I BUILD


A retrieval-based (RAG) chatbot that reads your documents and answers questions from them, with citations back to the exact source. Every answer is grounded in your documents and cited, so you can verify it against the source.


TECH STACK


Python, LangChain, ChromaDB, OpenAI or Groq models, FastAPI backend, Streamlit or React chat interface.


WHAT IS INCLUDED


- Document ingestion pipeline (PDF, DOCX, TXT, CSV)

- Vector database setup and indexing

- A chat interface you can use immediately

- Full source code and written documentation

- Deployment to a live URL


WHY ME


I have built and deployed six AI applications, including a bilingual RAG assistant over legal documents and an AI support ticket triage system. Everything I deliver runs live, not only on my machine.


PLEASE NOTE


You provide your own OpenAI or Groq API key. Token usage is billed to you by the provider and is not included in the gig price.


Message me before ordering with your document type and page count, and I will confirm which package fits.


  • AI engine

    • ChatGPT
    • Claude
    • Gemini
    • Azure OpenAI
    • Grok
    • DeepSeek
    • Hugging Face
    • Ollama

  • Tools & frameworks

    • LangChain
    • LangGraph
    • CrewAI
    • OpenAI Agents SDK
    • n8n

  • AI solution type

    • AI agent
    • AI chatbot
    • Rag system

  • Purpose

    • Customer support
    • Sales assistance
    • Data analysis
    • Customer service
    • Project management
    • It support
    • Ecommerce
    • Healthcare

Get to know Mahmudul Hasan

Mahmudul Hasan

LLM Integration and RAG Systems Developer

  • FromBangladesh
  • Member sinceJul 2026

  • Languages

    English
I build LLM and RAG systems that ship — not demos that break the moment real users touch them. I'm a CSE graduate (Data Science) and I've built and deployed: a bilingual RAG assistant over legal documents (LangChain + ChromaDB + GPT-4o-mini), an AI support-ticket triage app (FastAPI + React), a natural-language-to-SQL tool. What I take on: - Chatbots that answer questions from your documents (RAG) - LLM API integration into existing applications - FastAPI backends for AI features Every project ships with clean code, documentation, and a live deployment.

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