dagmmeko/et-laws

A modern conversational AI application built with Retrieval-Augmented Generation (RAG) that allows users to interact with Ethiopian law documents through an intelligent chatbot interface. # AI-Powered RAG Chatbot with Ethiopian Law Parser A modern conversational AI application built with Retrieval-Augmented Generation (RAG) that allows users to interact with Ethiopian law documents through an intelligent chatbot interface. ## 🌟 Features - **RAG-powered Chatbot**: Get precise answers based on stored knowledge - **Ethiopian Law Document Parser**: Upload and parse PDF legal documents - **Vector Database Storage**: Store and retrieve embedded information efficiently - **Dark/Light Mode Support**: Beautiful UI with theme preferences - **Modern Tech Stack**: Built with Next.js 14, Vercel AI SDK, and more ## 🛠️ Technology Stack - **Framework**: Next.js 14 (App Router) - **AI Integration**: Vercel AI SDK with Google's Gemini API - **Database**: Turso (libSQL) for edge-compatible vector storage - **ORM**: Drizzle ORM for type-safe database access - **UI**: shadcn-ui components with TailwindCSS styling - **Edge Compatibility**: Deployed on Vercel with Edge Runtime support ## 💡 Use Cases - **Legal Research**: Quick access to Ethiopian law information - **Knowledge Base**: Store and retrieve specialized information - **Customer Support**: Build intelligent support systems - **Personal Assistant**: Create your own second brain ## 🚀 Getting Started Clone the repository, install dependencies, and set up your environment variables to start exploring the power of AI-driven conversational interfaces backed by your own knowledge base.