System Architecture & Development: Developed LegalRAG, an AI-driven system designed to retrieve and analyze information from Kazakhstan's legal codes using Retrieval-Augmented Generation (RAG). Data Engineering: Built and managed a vector database utilizing ChromaDB to facilitate efficient information retrieval. Search Optimization: Implemented hybrid search capabilities, combining BM25 and vector search to improve the accuracy of legal document processing. Model Fine-Tuning: Applied fine-tuning techniques, specifically LoRA (Low-Rank Adaptation), to optimize models for the nuances of legal terminology and analysis. Backend Implementation: Utilized the Go programming language and the Gin web framework to develop robust backend services, including specialized APIs for data handling.