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I will develop custom ai chatbot trained on your PDF data website
M. Umair Habib
À propos de ce service
Build Your Own AI Chatbot Trained on Your Data (PDF / Website / Documents)
I will develop a custom AI-powered chatbot system using RAG that allows you to chat with your own data like:
- PDFs
- Websites
- ️ Business documents
- Knowledge bases
This is NOT a generic chatbot.
This is a smart AI system that retrieves real information from your data and generates accurate responses using LLMs (like GPT).
What I will build for you:
- AI chatbot trained on your private data (PDFs / docs / website)
- RAG pipeline (embedding + semantic search + LLM response)
- Vector database integration (FAISS / Chroma / Pinecone)
- Backend API using Flask / FastAPI / Django
- OpenAI / Groq / other LLM integration
- Optional web UI chatbot interface
- Deployment assistance (optional)
Use Cases:
- Customer support chatbot
- Chat with PDF documents
- Company internal knowledge assistant
- AI website chatbot
- SaaS AI assistant product
Why me?
I am a Computer Science graduate with hands-on experience in:
- Python (Advanced)
- Flask, Django, FastAPI
- LLM APIs (OpenAI, Groq)
- RAG architecture & vector databases
- Real-world AI SaaS systems
- Computer vision & automation systems
I build real production systems, not demos.
Découvrez M. Umair Habib
M. Umair Habib
AI Engineer and Backend Developer
- DePakistan
- Membre depuisjuil. 2024
- Temps de réponse moy.1 heure
Langues
Ourdou, Anglais
I am a passionate and versatile professional with a strong foundation in data science, artificial intelligence, and Python-based development. I have experience in software development, technical internships, and building scalable solutions using DevOps practices. I am highly motivated to apply data-driven and AI-powered approaches to deliver impactful insights and grow as a Data Scientist.
Mon portfolio
FAQ
What is a RAG-based AI chatbot?
A RAG (Retrieval-Augmented Generation) chatbot is an AI system that first retrieves relevant information from your data (PDFs, documents, website, etc.) and then uses an LLM (like GPT) to generate accurate, context-based answers. It is much more reliable than a normal chatbot because it answers base
What kind of data can I use for the chatbot?
You can provide: PDF files Word documents Website links Text files Business data or knowledge base I will process and structure this data into an AI-searchable system.
Do I need technical knowledge to use it?
No. I will deliver a fully working system with setup instructions. You can simply upload your data and start chatting with your AI assistant.
Which AI models do you use?
I can integrate: OpenAI GPT models Groq LLMs (fast inference) Other API-based LLMs if needed I will choose the best option based on your requirements.
Will this chatbot be accurate?
Yes. Since it uses RAG architecture, it does not “guess” answers. It retrieves real information from your documents and then generates responses based on that data.
Can you deploy the chatbot for me?
Yes, I can deploy it on: VPS / Linux server Azure AWS (optional) Deployment is available as an extra service.
Can I add this chatbot to my website?
Yes. I can provide: API integration Embedded chat UI Or full web dashboard depending on your package
How long does it take to complete?
It depends on the package: Basic: 2–3 days Standard: 4–6 days Premium: 7–14 days
Can I request custom features?
Yes. You can request: Authentication system Multi-user chatbot Admin dashboard Advanced UI Any custom AI workflow
Do you provide source code?
Yes. You will receive full source code with documentation so you can run or modify it anytime.
