Dot is a local-first RAG application that allows users to load and query documents (PDF, DOCX, PPTX, XLSX) using local LLMs. Built with Electron, it uses FAISS for vector storage, Langchain for orchestration, and llama.cpp for inference. The application defaults to the Phi-3.5 model and includes text-to-speech and Whisper-based speech recognition capabilities.