I will a custom ai chatbot using gpt, rag, and llm integration


About this gig
Stop using generic ChatGPT wrappers. Build an AI that actually knows YOUR business.
I build custom, production-ready AI chatbots powered by RAG (Retrieval-Augmented Generation). Instead of generic AI responses, your chatbot will securely read your PDFs, documents, and website data to give accurate, context-aware answers to your customers or team.
What You Get:
- Custom RAG Systems: AI trained exclusively on your specific business data.
- Top LLMs: Integration with GPT-4, Claude, Groq, or DeepSeek.
- Full-Stack Delivery: Scalable FastAPI backend & an embeddable React chat widget.
- Platform Integration: Deployment for your Website.
Why Work With Me? I am a dedicated AI Engineer who builds real, tailored systems from scratchno cookie-cutter templates. You will receive clean, highly documented source code with every single order so you own your project completely.
Lets build exactly what you need. Please message me before ordering so we can discuss your specific use case and choose the right package!
Get to know Abdul Basit
Full Stack AI Developer, Chatbot, Voice Bot, LLM, MERN, Asterisk
- FromPakistan
- Member sinceAug 2025
- Avg. response time8 hours
Languages
Urdu, English
My Portfolio
FAQ
What's the difference between a regular chatbot and a RAG chatbot?
A regular chatbot only knows what the LLM was trained on. A RAG chatbot reads YOUR documents in real-time and answers based on your actual content — far more accurate for business use cases.
Which LLM should I choose?
GPT-4 is best for general accuracy, Claude excels at nuanced reasoning, and Groq (Llama 3) is fastest and most affordable. I'll help you decide based on your budget and use case.
Do I need to provide API keys?
Yes, you'll need an API key for your chosen LLM provider (OpenAI, Anthropic, or Groq). I'll guide you through getting one if you don't have it already — it only takes a few minutes.
Will I receive the full source code?
Yes, all packages include complete, documented source code delivered via GitHub or ZIP file. You own everything after delivery.

