What if you could ask AI questions about your documents without any internet connection at all? LocalRAG! makes this possible with a built-in on-device language model. Download the Qwen3 4B model once, and from that point on, every question you ask is processed entirely on your phone or tablet — no Wi-Fi, no cellular data, no cloud servers involved. Your documents and conversations never leave your device.
Nearly every AI document tool on the market requires a constant internet connection. Your questions are sent to remote servers, your documents are uploaded to the cloud, and your data passes through third-party infrastructure. This creates real problems: you cannot use AI on airplanes, in remote areas, or in secure facilities. Sensitive documents risk exposure every time they leave your device. And when the server goes down or your connection drops, you lose access entirely. For professionals handling confidential data — legal contracts, medical records, financial reports — this cloud dependency is not just inconvenient, it is a security risk.
LocalRAG! includes an optional built-in language model (Qwen3 4B) that runs entirely on your device. After a one-time download of approximately 3 GB, the model is stored locally and never needs the internet again. When you ask a question, LocalRAG! uses on-device RAG (Retrieval-Augmented Generation) to find relevant passages in your documents, then feeds them to the local model for answer generation. The entire pipeline — document indexing, semantic search, and language model inference — runs on your phone's processor. No data is transmitted anywhere.
In Settings, download the Qwen3 4B model (~3 GB). This is a one-time download. Once stored on your device, it works forever without internet.
Add PDFs, EPUBs, Word files, or any of the 15 supported formats. Documents are indexed on-device using local embeddings.
Switch to Local LLM mode and ask questions — on a plane, in a basement, in a secure facility. Answers are generated entirely on your device.
Your documents and questions never leave your device. Not a single byte is sent to any server. This is the highest level of data privacy available in any AI document tool.
Airplanes, remote job sites, underground facilities, rural areas with no signal — LocalRAG! works wherever you are. No Wi-Fi or cellular data required.
The on-device model is completely free to use after download. Ask unlimited questions without worrying about token costs or subscription fees for API usage.
Ideal for classified environments, SCIF-compatible workflows, and any situation where data must not cross a network boundary. True air-gapped AI.
The local LLM analyzes the contract text retrieved from your on-device index and highlights important clauses, obligations, and deadlines — all without internet.
LocalRAG! retrieves relevant sections from the EPUB and generates a concise summary using the on-device Qwen3 model.
The AI searches your imported technical manual and lists the safety procedures with page references, entirely offline.
With both documents in the same collection, the local model cross-references relevant figures and provides a comparison — no cloud needed.
True offline AI is no longer a compromise — it is a feature. LocalRAG!'s built-in Qwen3 4B model delivers document Q&A that works without any internet connection, with zero data leaving your device. Whether you are on a flight, in a secure facility, or simply prefer complete privacy, LocalRAG! gives you a fully functional AI document assistant that runs entirely on your phone.
The Qwen3 4B model is approximately 3 GB. You download it once over Wi-Fi, and it is stored on your device permanently. No further internet access is needed.
On modern devices (iPhone 15 Pro, Pixel 8 and newer), answers typically generate in 5–15 seconds depending on question complexity. Older devices may take longer but still work.
For document-specific Q&A using RAG, the Qwen3 4B model provides highly accurate answers because it works from your actual document text. For general knowledge questions unrelated to your documents, cloud models have an advantage.
iOS devices with an A16 chip or later (iPhone 15 and newer) and Android devices with 8 GB+ RAM are recommended. The model runs on the device's neural engine or GPU for best performance.
Battery impact is moderate. Expect roughly 2–3% battery usage per 10 questions on modern devices. The model only runs when you ask a question — it does not consume power in the background.
Try LocalRAG! Free
Free tier with 5 questions per day. No account required.