# PixelFace vs rag

The clearest difference is ads: rag at none against PixelFace's shown. PixelFace's advantage is iOS requirement (14.0 vs 17.0). On price, in-app purchases and device support there is nothing between them.

Both are free to download. Neither carries in-app purchases, so what you see is what you pay.

## The numbers

| Metric | PixelFace | rag |
| --- | --- | --- |
| Price | Free | Free |
| Rating | — | **[1.0 (1 ratings)](https://appshunter.io/ios/app/rag-bot/id6752555846/reviews)** |
| Number of ratings | — | **1** |
| Positive reviews | — | 0.0% of reviews |
| In-app purchases | No | No |
| Ads | Yes | **No** |
| Update frequency | Every 3 weeks | — |
| Monetization | — | Free |
| Size | 34 MB | 79 MB |
| Requires iOS | **14.0** | 17.0 |
| Devices | iPhone, iPod | iPhone, iPad |
| Age rating | 4+ | 4+ |
| Developer | [APTE Ltd](https://appshunter.io/developer/1675202009) | [Kyle Essenmacher](https://appshunter.io/developer/1608051632) |

## What reviewers say

### PixelFace

[App page](https://appshunter.io/ios/app/pixelface-pixel-art/id6445971761)

**Features:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


### rag

[App page](https://appshunter.io/ios/app/rag-bot/id6752555846)

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:** macOS Compatibility, Vision Pro support

**In-app purchases:** none


## Frequently asked questions

### Is PixelFace free?

PixelFace is free to download, with no in-app purchases.

### Is rag free?

rag is free to download, with no in-app purchases.

### Do PixelFace or rag have ads?

PixelFace shows ads; rag does not.

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*Compared by [AppsHunter](https://appshunter.io/) from daily US App Store data. Review summaries are generated from verbatim App Store reviews.*