Built an AI Chatbot Using React, FastAPI & Gemini (RAG System + Docker)

Description

In this project, I built a full-stack AI Support Chatbot using modern technologies like React, FastAPI, and Google Gemini 2.0. The system uses Retrieval Augmented Generation (RAG) to provide intelligent, context-aware responses based on custom data. The backend is powered by FastAPI with WebSockets for real-time communication, while the frontend is built in React with a clean, responsive UI. The AI layer uses vector embeddings and semantic search to improve accuracy and relevance of responses. This project is fully production-ready with Docker support, error handling, retry logic, and real-time streaming responses. Tech Stack: React 18 FastAPI Google Gemini 2.0 RAG (Retrieval Augmented Generation) WebSockets Docker Vector Embeddings #AI #Chatbot #FullStackDeveloper #ReactJS #FastAPI #GeminiAI #RAG #MachineLearning #WebDevelopment #Python