LexBotID

This project is an Indonesian legal chatbot built using Next.js, Express, TypeScript, Tailwind CSS, and a Retrieval-Augmented Generation (RAG) architecture powered by a Large Language Model (LLM). The system is designed to assist users in navigating Indonesian law by providing contextually relevant, AI-generated answers based on a curated legal knowledge base. On the frontend, the chatbot offers a clean, responsive user interface built with Next.js and styled using Tailwind CSS, ensuring an accessible experience across devices. The backend, developed with Express and TypeScript, handles request processing, RAG-based context retrieval, and communication with the language model. Legal documents are indexed and retrieved dynamically, enabling the chatbot to provide accurate and up-to-date information tailored to user queries. By combining natural language understanding with domain-specific data, the chatbot serves as an intelligent legal assistant that empowers users to access legal information in a more efficient, conversational way—especially in a country where legal literacy is often limited. This solution is ideal for helping citizens understand regulations, legal rights, and procedures without needing direct consultation with a legal expert. The project highlights the potential of AI and modern web technologies in bridging the gap between complex legal systems and everyday people.