I will develop ai chatbot with rag and website integration


About this gig
I am Huzaifa Mushtaq Full Stack AI Developer
I build modern AI chatbots and RAG-based systems with full website UI and backend integration.
I design and develop intelligent chatbot solutions that connect directly with your business data using RAG (Retrieval-Augmented Generation). My focus is on building practical, production-ready systems that improve customer support and automate responses.
From creating a clean, responsive chat UI to integrating it seamlessly with your website and backend, I handle the full implementation so everything works smoothly and is easy to maintain.
Important Note:
The LLM API (Open AI and etc )is not included in this service. It must be purchased and managed by the client. I only handle the development, UI design, system setup, and full integration. This approach keeps the system flexible, scalable, and cost-efficient based on your usage.
Quick Call Available
Im available for a quick call or chat to understand your requirements, clear any confusion, and finalize the best solution for your project before starting the work.
Get to know Huzaifa Mushtaq
Full Stack Developer
- FromPakistan
- Member sinceMar 2023
- Avg. response time1 hour
Languages
English
My Portfolio
FAQ
What is a RAG chatbot?
A RAG chatbot (Retrieval-Augmented Generation chatbot) is an AI system that answers questions based on your own data like PDFs, website content, or documents. It does not rely only on general AI knowledge, it pulls real information from your provided data to give accurate answers
Q: Can you build a custom RAG chatbot for my website?
Yes. I can build and integrate a fully custom RAG chatbot into your website with a modern UI and backend system connected to your data.
Who pays for the LLM API?
The LLM API cost is paid by the client separately. I handle the full setup, integration, and UI development.
Is the RAG chatbot connected to an AI model?
Yes. The chatbot uses an LLM (AI model) along with a RAG system to generate accurate, context-based responses.
