I will build a rag chatbot to chat with your documents using langchain and openai

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Mubashir Ahmed

About this gig

Do you want to chat with your documents, PDFs, or knowledge base using AI?


I will build a powerful RAG (Retrieval-Augmented Generation) chatbot that lets you ask questions to your own documents and get accurate, instant answers powered by LangChain and OpenAI.


What you get:

Custom RAG pipeline built with LangChain

Chat with PDFs, Word docs, Excel files, or websites

OpenAI / GPT-4 powered intelligent responses

Vector database setup (FAISS / Pinecone / Chroma)

Clean API or Streamlit web interface

Source citations AI shows where it found the answer

Production-ready, documented code


Perfect for:

Companies with large document libraries

Legal, medical, or HR teams

Customer support knowledge base

Internal company Q&A chatbot

Research and data analysis


Why choose me?

I don't just connect LLM to your files I build a proper RAG pipeline with chunking strategy, embedding optimization, and retrieval tuning so your chatbot actually gives correct answers.


Message me first to discuss your documents and use case I'll give you a custom plan!

Get to know Mubashir Ahmed

Mubashir Ahmed

Full Stack AI and LLM Engineer RAG Agents Fine Tuning and Production Deployment

  • FromPakistan
  • Member sinceFeb 2025
  • Avg. response time1 hour
  • Languages

    English, Urdu
Full Stack AI Engineer with 3+ years of experience designing and deploying production-grade AI systems. Core Expertise: - LLMs, RAG Pipelines & Multi-Agent Systems - Fine-Tuning with LoRA, QLoRA & Instruction Tuning - LangChain, LangGraph, CrewAI & AutoGen - OpenAI, Anthropic, Gemini, Groq & HuggingFace APIs - FastAPI, Node.js, React.js & WebSockets - PostgreSQL, MongoDB, Redis, ChromaDB & Pinecone - AWS, Docker, Kubernetes & GitHub Actions CI/CD I don't just write code — I architect scalable, secure, and production-ready AI solutions. Let's build something extraordinary. 🚀