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Fiverr Pro
Nederlands
$
USD
I will build a custom ai chatbot that answers PDF related queries
Ishmal Khalid
Over deze dienst
I build custom chatbots that read your documents (PDFs, manuals, policies, reports) and answer questions accurately based only on that content - no generic AI guesses, no hallucinated answers.
This uses retrieval-augmented generation (RAG), the same technique behind serious enterprise AI assistants. I have a live, working demo (see the video above) so you can see real output before you order.
Perfect for:
- Businesses wanting an internal "ask our documentation" tool for employees
- Course creators wanting students to query course materials
- Law firms, clinics, or agencies with policy/procedure documents
- Anyone drowning in PDFs who wants instant, accurate answers
What you get: a working chatbot connected to your specific documents, deployed and ready to use, with source citations so answers are traceable.
Message me before ordering if your use case is different - happy to scope it out first.
Maak kennis met Ishmal Khalid
Ishmal Khalid
AI and Full Stack Web Developer
- Afkomstig uitPakistan
- Lid sindsjul 2026
Talen
Engels
BS Artificial Intelligence student building practical AI tools — from resume tailoring apps to document chatbots and OCR automation. I focus on working, deployed products, not just code — every project I build, you can test live before you order.
Mijn portfolio
Veelgestelde vragen
Question: What do you need from me to get started?
Answer: To get started, I will need a clear description of your project requirements, any specific AI engine preferences (like GPT or Claude), and access details or existing code files if we are integrating the AI into an existing app.
Question: Do you provide the complete source code after completion?
Answer: Yes, you will receive the full, clean, and well-commented source code of the application once the project is successfully completed and approved.
Question: Can the chatbot only answer from my documents, or will it make things up?
Answer: It only answers based on the content you provide — this is what RAG (Retrieval-Augmented Generation) does differently from a generic chatbot.
