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


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
Python Developer for RAG Chatbots, LangChain, and AI Agents
- FromPakistan
- Member sinceAug 2026
- Avg. response time2 hours
Languages
English
My Portfolio
FAQ
Do I need my own API keys?
Yes, you will need your own Groq and Cohere API keys, which are free to obtain. I will guide you through setting them up.
Can this process scanned image PDFs?
Yes, the app includes automatic Tesseract OCR fallback to extract and index text from scanned documents.

