open mindset vs rag
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
open mindset
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This application is 100% developed using Python. It communicates with Chat GPT and Stability AI. This application is a Python framework for others to use as we learn how to use Artificial Intelligence. If users find this application useful as is that is great. But it is also intended for others to either contribute to the existing GitHub repository (https://github.com/amwebexpert/poc-mobile-python) or clone it and develop their own enhancements.
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.
- 100% offline AI chat
- Document RAG with PDF/DOCX
- Multiple AI model providers
- 3D embedding visualization
- Real-time device monitoring
- Conversation history with search
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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
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Verdict
open mindset and rag are too close to call on the numbers: across 5 compared parameters — price, ads, in-app purchases and device support among them — neither pulls far enough ahead to decide it. What separates them is feature set and interface, not measurable difference.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
| Parameter | open mindset | rag |
|---|---|---|
| Price | Free | Free |
| Rating | — | 1.0 (1 ratings) — better |
| Positive reviews | — | 0.0% of reviews |
| Number of ratings | — | 1 — better |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Free |
| Devices | iPhone, iPad | iPhone, iPad |
| Requires iOS | 16.0 — better | 17.0 |
| Further details — not scored | ||
| Size | 94 MB | 79 MB |
| Age rating | 4+ | 4+ |
| Developer | Nick Rodriguez | Kyle Essenmacher |
In-app purchases
open mindset
No in-app purchases
rag
No in-app purchases









