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I will build rag based chatbot with django and react
Arsalan Khan
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I will build a powerful AI chatbot with RAG and full-stack integration for your website!
Your chatbot can:
- Handle text-based conversations directly on your website
- Serve as a Customer Support / FAQ bot for instant user query responses
- Act as a Personal Assistant for scheduling, reminders, and general tasks
- Use RAG (Retrieval-Augmented Generation) to fetch accurate answers from PDFs, Word docs, spreadsheets, databases, or other structured/unstructured files
- Include a custom frontend interface with React, connected to a Django backend for smooth interaction and data management
I work with GPT, Claude, LLaMA, GLM, and Rasa to deliver smart, accurate, and fully customizable chatbots. Optimized conversation flows ensure your bot is practical, professional, and ready for real-world use.
Packages:
- Basic: FAQ bot
- Standard: Support / Personal Assistant bot
- Premium: RAG-enabled bot + Custom React frontend with Django backend
Extras: Multi-language support, additional intents, faster delivery
Lets create a chatbot that works smarter, engages better, and gives you full control over your website interactions!
Conoce a Arsalan Khan
Arsalan Khan
AI Engineer and Full Stack Developer ML, CV, Django, React, Chatbots
- DePakistán
- Miembro desdeene 2024
Idiomas
Pashto, Urdu, Inglés
Hello, I’m Muhammad Arsalan, a Full-Stack AI Developer passionate about creating smart, elegant, and high-performing digital solutions. I specialize in Python, Django, React, Machine Learning, Computer Vision, and AI chatbots. With a strong focus on clean code, scalability, and client satisfaction, I turn ideas into modern, reliable, and intelligent applications. Let’s work together to bring your vision to life with precision and creativity.
FAQ
What types of chatbots do you create?
I create text-based chatbots, including Customer Support / FAQ bots, Personal Assistants, Social Media bots, and bots with RAG capability for structured and unstructured data like PDFs, Word docs, or spreadsheets.
Can the chatbot access my documents or database?
Using RAG (Retrieval-Augmented Generation), your bot can fetch and provide accurate answers from PDFs, Word documents, spreadsheets, or other structured/unstructured files.
How long will it take to create the chatbot?
elivery time depends on the package and complexity. Basic bots usually take 2–5 days, standard bots 5–10 days, and premium bots 10+ days.
