Developer creates fully offline enterprise RAG boilerplate for local AI use

A developer has built an open-source, production-ready RAG application called VaultRAG designed to run entirely offline. The system addresses data privacy concerns by avoiding cloud-based AI services, targeting businesses with sensitive documents. Its tech stack combines Ollama for local LLMs, FastAPI for the backend, LangChain for orchestration, and React for the frontend, all deployed via Docker. The application allows users to upload documents, which are processed and embedded locally for secure question-answering. The project aims to simplify the complex setup typically required for local, enterprise-grade AI applications.