DocMind — RAG Frontend for Private Data
DocMind is a desktop application that makes private document collections (PDFs, notes, wikis) searchable — fully offline, with locally running embeddings and Qdrant as vector store.
ElectronReactTypeScriptQdrantSentence-Transformers
Architecture highlight
Qdrant runs as a sidecar process inside the Electron app. Embeddings are computed locally — user data never leaves the computer.
Practice proof
DocMind proves that productive RAG systems can work fully locally. We bring this experience into RAG strategy workshops.