I will build a custom rag chatbot with langchain, openai, and vector database

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Muhammad Awais

About this gig

Want a chatbot that answers from YOUR documents not generic AI?


I build custom RAG chatbots and pipelines that connect your PDFs, 

CSVs, databases, or websites to a powerful AI model for accurate, 

context-aware answers from your own data.


WHAT YOU GET


RAG chatbot on PDFs, CSVs, URLs, DOCX, or text files

LangChain / LlamaIndex pipeline production-ready

Vector database: FAISS, ChromaDB, or Pinecone

OpenAI, Gemini, Claude, or open-source LLM integration

Chat UI with Streamlit or Gradio

FastAPI backend for website/app integration

Full source code + documentation + setup guide


PERFECT FOR


Businesses wanting an AI chatbot on their own data

Developers needing a deployable RAG system fast

Startups building AI-powered search or support tools


MY TECH STACK

Python, LangChain, LlamaIndex, OpenAI, FAISS, ChromaDB,

Pinecone, Streamlit, FastAPI, Docker


WHY CHOOSE ME


I deliver working, documented, deployable solutions not 

copy-paste templates. Every RAG pipeline is custom-built 

for your use case.


Message me before ordering. I reply within 1 hour.

Get to know Muhammad Awais

Muhammad Awais

AI Engineer

  • FromPakistan
  • Member sinceAug 2022
  • Languages

    English
I'm Muhammad Awais, an AI/ML Engineer building smart chatbots, RAG pipelines, and custom AI solutions for businesses. I work with LangChain, LangGraph, OpenAI, FastAPI, and vector databases. My projects include a document-trained RAG chatbot, an AI Notes app (Whisper + OCR), and a Traffic Analytics System (YOLOv8). Microsoft Azure AI certified. What I deliver: - AI chatbots for support & lead gen - RAG systems trained on your PDFs - LangChain/LangGraph agents - FastAPI + Django AI backends Fast replies. Clean code. No ghosting after delivery. Message me — let's build.

My Portfolio