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LocalRAG!

AI AssistantFree

Private, offline RAG for iOS—powered by your documents and open‑source .gguf LLMs.

Last updated Apr 30, 2026

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What is LocalRAG!?

LocalRAG is a fully on‑device, offline iOS RAG chatbot that augments open‑source .gguf large language models with your own documents to deliver grounded, low‑hallucination answers. Built for privacy and performance, LocalRAG runs retrieval‑augmented generation entirely on your iPhone or iPad, supports Whisper speech‑to‑text, offers customizable system prompts, and ships as a one‑time purchase with no data collection or sharing—ideal for private, reliable AI assistance anywhere.

LocalRAG!'s Top Features

Key capabilities that make LocalRAG! stand out.

On‑device, offline Retrieval‑Augmented Generation (RAG)

Complete privacy with no data collection or sharing

Support for open‑source LLMs in .gguf format

Whisper‑powered on‑device speech‑to‑text transcription

Customizable system prompts for tailored behavior

User‑uploaded documents for grounded, low‑hallucination answers

Local indexing and retrieval for private knowledge bases

Runs entirely on iOS hardware—no server required

One‑time purchase with no subscriptions

Configurable model selection and parameters to balance speed and quality

Use Cases

Who benefits most from this tool.

Students

Summarize readings and ask grounded questions using course materials, all offline.

Researchers

Query papers and notes with citations drawn from a private, local corpus.

Professionals

Draft emails and briefs with references pulled from internal documents on‑device.

Journalists

Search interviews and transcripts locally and generate fact‑checked summaries.

Lawyers

Explore case notes and filings with retrieval‑backed answers that stay on device.

Healthcare practitioners

Consult local guidelines and protocols privately during offline workflows.

Sales & support

Answer FAQs from product docs without sending data to the cloud.

Developers

Query code snippets and docs locally to generate grounded explanations.

Travelers

Use speech queries and offline RAG for itineraries and reference docs on the go.

Privacy‑conscious users

Chat with a private assistant that never uploads personal data or conversations.

Explore Top AI Use Cases

Tags

RAG chatboton-device AIoffline iOSprivacyperformancelow-hallucination answersspeech-to-textcustomizable promptsno data collectionAI assistance

LocalRAG!'s Pricing

Free plan available

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Frequently Asked Questions

What is LocalRAG?
LocalRAG is an iOS app that performs retrieval‑augmented generation (RAG) entirely on‑device, enhancing open‑source .gguf LLMs with your documents for grounded, private answers.
Does LocalRAG work offline?
Yes. All processing—including RAG, inference, and transcription—runs locally on your device, so it works without an internet connection.
How does LocalRAG protect my privacy?
Your data never leaves your device. The app collects no analytics, shares nothing with third parties, and performs all AI tasks on‑device.
Which language models does it support?
LocalRAG supports open‑source LLMs in the .gguf format, allowing you to load compatible models locally.
What is RAG and why does it reduce hallucinations?
RAG retrieves relevant snippets from your uploaded documents and feeds them to the model at answer time, grounding responses in real sources to reduce hallucinations.
Can I customize the assistant’s behavior?
Yes. You can set custom system prompts to tailor tone, role, and constraints for different tasks or domains.
Does LocalRAG support speech input?
Yes. It uses Whisper for on‑device speech‑to‑text transcription so you can speak your queries privately.
What’s the pricing model?
LocalRAG is a one‑time purchase with no subscriptions or recurring fees.
How do I add my documents?
You can import and index your documents locally; the app builds a private knowledge base for retrieval during chats.
Which devices are supported?
LocalRAG is designed for iOS devices and runs fully on‑device; performance depends on your device’s available memory and compute.