LocalRAG – Ask AI about your own documents (iOS/Android)
Offline on-device RAG beats cloud-only competitors like NotebookLM.

On-device RAG for 9 document formats, but document Q&A apps are well-trodden.
Knowledge workers, students, researchers who handle sensitive documents, privacy-conscious users
ChatPDF · Ask Your PDF · Artifact
Offline on-device RAG beats cloud-only competitors like NotebookLM.
Exports a one-file 'brain' and a tiny MemoryOrchestrator API (remember/recall) so you can ditch Docker and hosted vector DBs — token-budgeted, deterministic recall and kill-9-safe durability are concrete wins. The Metal-accelerated vector search plus SQLite FTS5 fallback shows real engineering heft, but it's clearly tuned for the Apple ecosystem and the author is still asking for retrieval/eval feedback.
Offline RAG on mid-range Android, but Ollama + local LLM apps already exist.
Signed AI claims you can verify and undo—unlike black-box cloud models.
Card-based interface beats spreadsheet tables for mobile database browsing.
Comprehensive offline AI suite (text, vision, images) on $300 phones—genuinely complete.