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English
$
USD
I will build a custom rag ai chatbot for your documents
Muhammad Saqib
About this gig
Turn your documents into a smart AI chatbot. I build custom RAG (Retrieval-Augmented Generation) chatbots that answer questions from YOUR PDFs, Word files, manuals, or knowledge base accurate, source-grounded answers, not generic guesses.
WHAT YOU GET
- Custom RAG AI chatbot trained on your documents
- Source-cited, hallucination-free answers
- Clean, documented Python code fully yours
- Optional web chat interface
- Optional FastAPI endpoint for your website/app
PERFECT FOR
Students, researchers, small businesses & teams needing a private AI document Q&A assistant not generic ChatGPT.
TECH STACK
Python, LangChain, RAG, ChromaDB/FAISS, OpenAI, Gemini using your own API key, so your data & costs stay in your control.
WHY CHOOSE ME
Master's in Computer Science, 3+ years in AI/ML & NLP. I build real RAG pipelines for messy real-world documents, with honest scoping and no surprise costs.
HOW IT WORKS
1) Message me your documents + questions
2) I confirm scope & best package
3) Get a tested AI chatbot built on your content
Message me before ordering so I can scope it right the first time.
Get to know Muhammad Saqib
Muhammad Saqib
Hardwork, trust and motivation
- FromPakistan
- Member sinceSep 2019
- Avg. response time1 hour
- Last delivery5 years
Languages
Urdu, English
Master’s graduate in Computer Science with 3+ years of hands-on experience in AI, Machine Learning, Deep Learning, and Applied Research. I combine research expertise with practical skills to build and deploy reliable AI solutions.
• ML/DL Model Development & Training
• Computer Vision & Object Detection
• Generative AI & NLP
• IoT & Edge AI Deployment
• Python, PyTorch, TensorFlow, Hugging Face
• FastAPI, Flask & Django
• API & AI System Integration
• Raspberry Pi, EdgeTPU & Embedded AI
• Data Annotation & Labelling
• Research & AI Prototyping
FAQ
What is a RAG chatbot, and how is it different from a normal chatbot?
A normal chatbot answers from general AI knowledge and can guess wrong on your specifics. A RAG chatbot searches your actual documents first, then answers from what it finds — grounded in your real content.
What document types can you use?
PDF, Word (DOCX), and plain text files. Let me know your format when you message me - most are supported.
Do I need my own OpenAI/Gemini API key?
Yes, you'll use your own key so your data and usage costs stay fully in your control. I'll guide you through getting one - it takes a few minutes, and I'll help you estimate your expected monthly cost before you order.
Will it make up answers if it doesn't know something?
No - it's built to only answer from your documents, and say so clearly when something isn't covered, rather than guessing.
Can this be added to my website?
Yes - the Premium package includes a FastAPI endpoint so your own website or app can call it directly.
How long does it take?
Basic orders are typically delivered in 4 days, giving enough time to properly test accuracy on your real documents rather than rushing a generic setup.
