I will build an advanced PDF rag chatbot using python and ai

M
m_taha357
M
m_taha357
M Taha

About this gig

Are you looking for an enterprise-grade AI chatbot to query your PDFs, documents, or knowledge base with high accuracy? I build custom, end-to-end Retrieval-Augmented Generation (RAG) applications using Python and modern AI tools.


WHAT YOU GET: Advanced Hybrid Search: Combines BM25 keyword matching with neural re-ranking (Cohere) for maximum retrieval accuracy.

Scanned PDF Support: Automatic fallback to Tesseract OCR for image-heavy or scanned documents.

Custom UI: Modern, responsive Streamlit dashboard with customizable dark/navy themes and hyperparameter controls.

Inline Source Citations: Accurate answer generation with direct file name and page-level attributions.

Clean Source Code: Fully documented, modular Python code ready for cloud deployment.


TECH STACK: Python | Streamlit | PyMuPDF | Tesseract OCR | OpenAI API | Cohere | Vector Databases

Send me a message or place your order today to transform your complex documents into an interactive AI assistant!

Live Demo Preview available!

Message me to test the interactive Streamlit RAG app in real time

Get to know M Taha

M Taha

Python Developer for RAG Chatbots, LangChain, and AI Agents

  • FromPakistan
  • Member sinceAug 2026
  • Avg. response time2 hours
  • Languages

    English
I am a Python developer specializing in custom AI chatbots, RAG (Retrieval-Augmented Generation) applications, and smart automation. I build intelligent document Q&A systems, custom vector database integrations, and web interfaces using LangChain and OpenAI APIs. My focus is delivering clean, production-ready code that turns your raw files and data into interactive AI tools.I can integrate chatbot in your website and apps

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