I will build a rag ai customer support chatbot using gemini

Are you looking for an AI assistant that actually relies on your business data instead of guessing?

Whether you run an e-commerce store selling premium footwear or a B2B software company, your customers expect instant, accurate answers. Standard AI chatbots hallucinate and give wrong information. I build production-ready, RAG-powered (Retrieval-Augmented Generation) chatbots that ground every answer in your actual documents.

What You Get:

• Grounded AI: The model is only shown cases that are actually relevant using ChromaDB and MiniLM embeddings, enforced in the code.
• Full-Stack Delivery: A fast Python/FastAPI backend paired with a dynamic React frontend.
• Global Reach: Full English and Arabic (RTL) support, including automatic translation of non-English queries.
• Enterprise Security: Real authentication via bcrypt and JWT.
• High Performance: Optimized architectures designed for speed, just like my previous system that dropped response times from 86 seconds to 2.5 seconds.
• Transparency: A built-in panel that visually shows the real embedding space behind each answer.

I don't just write prompts; I build hardened, Dockerized applications backed by automated CI test suites.