Both projects are Retrieval-Augmented Generation (RAG) pipelines specifically designed to query and answer questions from specialized Armenian-language documents (legal and financial) using semantic search and large language models.
A Retrieval-Augmented Generation (RAG) system designed to answer questions about Armenian Labor Law in Armenian. It i...
A Master's thesis project implementing a full Retrieval-Augmented Generation (RAG) pipeline for querying Armenian ban...