The project implements a retrieval-augmented generation system that allows users to upload documents, build a knowledge base, and query it using a local ChatGLM-6b language model. It uses LangChain for orchestration, FAISS for vector similarity search, and supports parsing of PDFs, DOCX, and PPT files. A Gradio-based web interface provides the user-facing UI for knowledge base selection and interactive Q&A.