I will build custom ai chatbot with rag using python and llms

S
samim_reza101
S
samim_reza101
Samim

About this gig

Looking for custom AI chatbot/RAG chatbot/LLM-powered assistant for your business, website, startup, or personal project?

You're in the right place.

I will build a custom AI chatbot with RAG for your PDFs, website, FAQ, or business data using Python, FastAPI, LangChain, and LLMs.

What I can build for you:

  • Custom AI chatbot using Python
  • LLM integration (OpenAI,Gemini,open-source models, etc.)
  • RAG chatbot for documents,notes or website content
  • Chatbots with predefined conversational flow
  • FastAPI / backend API integration
  • Database / CRM integration
  • User authentication
  • Organized source code

Great for:

  • Customer support
  • FAQ assistants
  • Internal company knowledge bots
  • Personal AI assistants
  • Document Q&A bots
  • Website AI chatbot integration

Why choose this gig?

  • Clean and scalable code structure
  • Custom-built solution based on your use case
  • Beginner-friendly communication
  • Focus on functionality, clarity, and usability
  • Support for both simple and advanced chatbot systems

Tech stack can include:

  • Python
  • LangChain
  • FastAPI/Flask
  • Vector databases
  • OpenAI/Gemini API/open-source LLM

Before placing order:

Please message me first with your requirements so I can suggest the best package for your project.

Get to know Samim

Samim

AI Developer, LLM, RAG, Python, Chatbot, Machine Learning, Model training

  • FromBangladesh
  • Member sinceJul 2025
  • Avg. response time1 hour
  • Languages

    Bengali, English, Spanish, German, Arabic
Hi, I'm Samim, an AI/ML developer with hands-on experience in Python, PyTorch, TensorFlow, FastAPI, LangChain, RAG systems, and chatbot development. I have built deployed AI assistants, fine-tuned Gemma 2 9B with LoRA, and developed AI-powered healthcare and prediction systems. I help clients build custom chatbots, train ML models, analyze data, and turn ideas into working AI products with clean, documented code.

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