Comparison

rag vs QuickLLM

Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.

Head to head
About

rag

Engage in private AI conversations with locally-running language models. Upload documents like PDFs and DOCX to query them with AI, and visualize your document embeddings in a 3D atlas. Choose from various AI providers and models optimized for your device's performance.

Highlights
  • 100% offline AI chat
  • Document RAG with PDF/DOCX
  • Multiple AI model providers
  • 3D embedding visualization
  • Real-time device monitoring
  • Conversation history with search
Features
Read full description

RAG Bot — Private AI on Your Device Have natural conversations with locally-running large language models. Your chats stay on your device with full conversation history and search. Your Documents, AI-Powered Upload PDFs or DOCX files. RAG Bot generates embeddings so you can chat with your documents using retrieval-augmented generation. Visualize your document embeddings in an interactive 3D atlas. Choose Your Model Browse and download from three AI providers (Cactus, ExecuTorch, llama.rn). Filter by type (LLM or embedding), size, capabilities like vision and tool calling — find the right model for your hardware. Built for Performance Real-time device monitoring shows memory and storage usage so you always know what your device can handle. Optimized for Apple Silicon with multiple inference backends. Key Features 100% offline — no internet required after model download Multiple model providers and quantization options Document RAG with PDF, DOCX support Conversation history with full search Vision and tool-calling capable models Real-time device resource monitoring 3D embedding visualization

About

QuickLLM

Features
Read full description

QuickLLM is a private local AI workspace designed for iOS and macOS. QuickLLM keeps inference, conversations, documents, embeddings, retrieval, and generated text on your device while making model fit and network purpose visible. KEY FEATURES: - Private local chat: Run conversations through packaged local inference with visible model, Profile, Knowledge, context, generation, and Stop state. - Model fit: Measure device capability, compare memory and storage needs, download verified models, and explain unsupported configurations. - Knowledge Bases: Ingest supported documents, build local indexes, retrieve grounded excerpts, and open citations at their source. - Profiles and LoRA: Save model, context, sampling, backend, and adapter combinations for repeatable work. - Templates and Actions: Reuse private prompts and run shared-text workflows that keep results available for copy, share, or conversation. - Portable control: Export conversations, run a desktop local API when explicitly enabled, and create encrypted backup and restore files. PERFECT FOR: - Private drafting, brainstorming, summarization, and coding assistance - Offline or local-only conversations with downloaded models - Question answering over personal PDFs, DOCX, Markdown, and text - Reusable local Profiles, Templates, Actions, and encrypted backups GETTING STARTED: - Run device diagnostics and choose a model that fits. - Download, verify, and load the model. - Start a conversation and choose a Profile. - Optionally create a Knowledge Base, add trusted documents, and verify citations. - Export important work or create an encrypted backup before moving or deleting data. PRIVACY & SECURITY: - Prompts, conversations, documents, embeddings, retrieval, and generated text stay on-device. - Mobile share inputs are temporary and external originals are never deleted. - App-owned workspace data and managed copies can be removed through the reviewed privacy workflow. FREE AND PRO: - Start with a seven-day ad-free trial. - Free keeps the full feature set and may show mobile advertising or a daily desktop support reminder. - QuickLLM Pro removes ads and reminders through a yearly subscription or a one-time lifetime purchase. Terms of Use: https://kakitiro.com/quickapps/quickllm/terms/

Screenshots

rag4 screens
QuickLLM4 screens

Verdict

The call

The clearest difference is in-app purchases: rag at none against QuickLLM's 2. rag also leads on ads (none vs shown). On price, device support and iOS requirement there is nothing between them.

Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS

CostPrice · In-app purchases · Ads · Monetization

Both are free to download. QuickLLM sells 2 in-app purchases, starting at $0.99 per year. rag asks for nothing beyond the download.

Scorecard2 real differences · 8 level
rag versus QuickLLM: the parameters behind the verdict, then further details
ParameterragQuickLLM
PriceFreeFree
Rating1.0 (1 ratings) — better—
Positive reviews0.0% of reviews—
Number of ratings1 — better—
Update frequency—Every 2 months
AdsNo — betterYes
In-app purchasesNo — betterYes
MonetizationFree—
DevicesiPhone, iPadiPhone, iPad, Mac — better
Requires iOS17.016.4 — better
Further details — not scored
Size79 MB83 MB
Age rating4+4+
DeveloperKyle EssenmacherKAZUHIRO KAKIMOTO

In-app purchases

None

rag

No in-app purchases

2 purchases

QuickLLM

Subscriptions1
  • Pro - Annual$0.991 Year
One-time1
  • Pro - Lifetime$4.99

Questions

Is rag free?
rag is free to download, with no in-app purchases.
Is QuickLLM free?
QuickLLM is free to download, with in-app purchases available.
Do rag or QuickLLM have ads?
QuickLLM shows ads; rag does not.

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