Private On-Device RAG for Personal Knowledge That Runs Natively on Mobile

mobile app real project •• multiple requests

People want to chat with their personal documents (PDFs, notes, health records, financial docs) using AI without uploading anything to the cloud. Desktop solutions exist (Reor, AnythingLLM, Obsidian+Ollama) but mobile is severely underserved. The few mobile options are either just API wrappers to cloud models or require connecting to a home server. A truly on-device mobile RAG app with local inference doesn't exist yet.

builder note

The hardware is finally ready. Flagship phones can run Phi-3-mini at usable speeds. The app needs three things: (1) dead-simple document import from camera/files/share sheet, (2) local embedding + vector store on device, (3) a chat UI that cites which document passages it's drawing from. Skip multi-model support at launch. Pick one model, make it fast, and nail the UX.

landscape (4 existing solutions)

Desktop private RAG is a solved problem (Reor, AnythingLLM, Obsidian+Ollama). Mobile private RAG is not. The existing mobile options either require a home server connection or are proof-of-concept quality. Modern phones (Snapdragon 8 Gen 3, Apple A17 Pro) can run 3-7B models at usable speeds, but nobody has built a polished mobile app that combines document ingestion, local embedding, local inference, and a good chat UI into one package.

Reor Excellent private RAG for notes but desktop-only (Mac, Linux, Windows). No mobile version. Your personal knowledge base is stranded on your laptop.

AnythingLLM Feature-rich desktop RAG but requires a running server. No standalone mobile app. Privacy depends on where your server is hosted.

LMSA (Local Model Service Assistant) Android app but it's a client that connects to your local LM Studio/Ollama server. Not on-device inference. Requires home server running and accessible.

Off Grid Runs on-device but very early stage. Limited model support and document format handling. More proof-of-concept than product.

sources (3)

other https://dev.to/alichherawalla/how-to-build-a-private-knowled... "knowledge base entirely on your phone, indexed locally" 2026-02-15

other https://github.com/reorproject/reor "private and local AI personal knowledge management" 2026-03-10

reddit https://bloggerwalk.com/top-6-privacy-focused-offline-ai-too... "privacy-focused offline AI tools Reddit users use" 2026-03-25

RAGmobileprivacylocal-aiknowledge-base