The RAG-based Local LLM for PDFs project uses a Retrieval-Augmented Generation model to enable intelligent querying and summarization of PDF content locally, ensuring data privacy. It extracts and indexes document content, combining retrieval and generative capabilities for contextual answers, enhancing efficiency in document automation workflows.