I will build a rag based PDF chatbot using python and langchain

D
dhanibaksh123
D
dhanibaksh123
Dhani Baksh
Alcune informazioni sono riportate in lingua inglese.

Informazioni su questo servizio

Need a chatbot that reads and understands your documents?

I build RAG-based PDF chatbots using Python, LangChain, and OpenAI so your users can ask questions and get accurate answers directly from your files and knowledge base.

I've already built and deployed a production RAG system this isn't theory, it's something I've actually shipped.

What I Build:

  • PDF and document Q&A chatbots using RAG
  • Multi-document support with vector search
  • Conversation memory with PostgreSQL
  • FastAPI backend powering the chatbot
  • Supabase vector store integration
  • Deployment on Railway or Render

Perfect For:

  • Law firms, startups, hospitals, education platforms
  • Any business with large document collections

What You Get:

  • Clean, production-ready Python code
  • Full source code no black box
  • FastAPI endpoints ready for any frontend
  • Postman collection for testing
  • Clear communication throughout

Why Me?

Every RAG system I build is coded from scratch LangChain, OpenAI embeddings, vector search. Full control, full source code, built to scale.

Check my work: github.com/dhanibaksh777-byte

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Dhani Baksh

Python Backend Developer

  • DaPakistan
  • Membro dagiu 2026
  • Lingue

    Urdu, Inglese
Python Backend Developer specializing in FastAPI, PostgreSQL, and REST APIs. I build secure, scalable, and well-structured backend systems — from authentication and database integrations to full production-ready APIs. My work includes deploying real backends for startups like Scaterly, an AI-powered content distribution platform. Clean code, timely delivery, and clear communication — always.