Chat With Your Documents

Private knowledge base that ingests many file types and lets you chat and semantically search them with a local LLM (any GGUF model); 100% offline.

Offline-first PDF knowledge manager that auto-files and tags documents by their actual contents using Apple Intelligence, with full-text/content search across devices.

Privacy-focused RAG assistant that chats with your PDFs and notes, auto-redacts sensitive data, and lets you choose offline local AI or protected cloud models.

Offline document Q&A for field workers: import PDFs/Markdown/text, index locally, and get grounded answers with no connectivity; says when it doesn't know.

On-device RAG over aviation technical manuals (FCOM, QRH, AFM) with semantic search and verifiable source citations; no network, no telemetry.

iOS document chat that runs entirely on-device via MLX and Vision OCR, answering questions across PDFs with numbered citations; no account, works offline.

Drops in contracts, invoices or papers and extracts structured insights with templates, plus grounded Q&A, all via on-device Apple Intelligence.

Semantic finder that indexes your files (docs, photos via OCR, audio via transcription) on-device and answers questions grounded in them, citing sources.

Mac RAG assistant that ingests PDFs/text/markdown and answers with cited sources using MLX models on Apple Silicon; all processing is local, no accounts.

PDF research assistant that chats with your docs via local LLMs (Ollama, LM Studio) for fully offline private RAG, or your own Gemini key; OCR-powered search.

Private PDF library you can talk to: auto-classifies and tags documents, hybrid semantic search, and Q&A using Apple on-device and local MLX models (Gemma, Mistral, Qwen).

Turns local folders of docs and PDFs into an LLM-powered wiki you can browse and question; runs on Apple Foundation Models or your own local server.

Study companion that turns your PDF textbooks into a local RAG knowledge base to chat with, quiz from and generate study guides.

Open-source private assistant for documents, images, audio, and video using Apple Foundation Models, Vision, and Speech fully on-device. Full source on GitHub.

Chat with your PDFs grounded in the document using your own Ollama/LM Studio models on your LAN, with optional embeddings retrieval.

Apple Intelligence document assistant with QuickActions to summarize, extract dates, translate and decode official letters or suspicious emails; 100% local, works offline.

Privacy-first PDF reader with built-in AI that answers questions on your docs and generates Anki flashcards from highlights, running locally on Apple Silicon.

Private RAG knowledge assistant running full on-device LLMs over your PDFs/docs with cited answers, built-in OCR, and a 2D/3D knowledge graph.

Private Mac knowledge base that indexes 30+ file types with on-device AI and answers questions with cited sources, using built-in MLX or local Ollama models.

Vision Pro spatial front-end for Manex Hub: query your personal knowledge graph with a VLM and search running on your Mac.

Menu-bar local RAG that vectorizes your PDFs, code, and notes via Ollama for private semantic Q&A; can switch to Gemini or GPT-4o when needed.

Offline-first PDF reader that lets you chat with your documents and generate structured summaries using on-device AI, with citations that jump to the source.

Ask questions of PDFs, photos, and pasted text and get grounded answers with source references plus smart summaries; runs fully on-device via Apple Intelligence.

A private research memory for Mac: capture papers and notes as moments, then return for source-grounded RAG conversations.

PDF reading workspace linking highlights into a knowledge graph, with on-device Core ML semantic search and BYO-key AI chat citing source pages.

Private document Q&A and summarization built on Apple Intelligence; embeddings and LLM processing run on-device so files never leave your Mac.

Local-first RAG chat for your PDFs and docs using llama.cpp, with sourced answers, plus optional Apple Foundation Models or a local Ollama server.

Native macOS companion for NotebookLM that locally transcribes audio/video (WhisperKit), OCRs images (Apple Vision) and packages rich sources for your notebooks.

Chat with your PDFs entirely on-device via Apple Intelligence: summaries, definitions, and auto-generated quiz questions. Provably offline (works in Airplane Mode).

Annotate PDFs and chat with them via an AI assistant that runs entirely on your Mac, with offline summarization, keyword extraction, and auto-highlighting.

Asks natural-language questions about the AA Big Book and returns grounded answers drawn from the source text, using Apple Foundation Models entirely offline.

Private PDF reader that summarizes sections, builds outlines and glossaries, translates, and OCR-scans paper, all powered by on-device Apple Intelligence.

PDF research assistant that chats with your docs via local Ollama/LM Studio models or your own Gemini key, with OCR and fast indexing; files stay on device.

iPad knowledge workspace that connects to an Obsidian vault for grounded Q&A with citations and conflict detection; supports Apple on-device Foundation Models.

Voice assistant powered by Apple Intelligence: load a menu, manual or guide and it answers spoken questions from only that file, offline, with a kiosk Totem mode.

Local-first AI workspace with on-device vector search and summarization over your notes and documents; nothing leaves the Mac.

PDF reader with Apple Intelligence summaries, key-point extraction, and document chat that answers with source citations, processed on-device.

Local-first RAG 'Super Brain' that chats with your PDFs, notes, and Notion/Obsidian content with source citations and auto-redaction; offline or protected cloud models.

Opens and edits Korean HWP/HWPX forms on iPad, adding Apple Intelligence summarization, document Q&A, and translation on supported devices.

Privacy-first document annotation that adds an on-device Apple LLM (macOS 26+) to summarize and answer questions about your files without uploading them.

Chat with your PDFs, TXT, and Markdown and review the source passages behind each answer; local providers keep processing on your Mac, cloud is opt-in.

Total.js docs reader that connects to your own local Ollama server to answer natural-language questions about the framework; offline-friendly browsing.

Builds a private local knowledge base from your files with embeddings and cited Q&A. Solid RAG concept, but unrated and thin on local-model specifics.

NotebookLM-style Mac research assistant that answers questions grounded in your imported PDFs, docs, and notes with source-backed summaries; data stays on device.

Ask questions of your PDFs, code, CSV and JSON and get answers cited to the source; runs local AI or your own private model setup.

Ask natural-language questions of your local documents and get contextual answers from a personal knowledge base built on your files.