objManager vs rag

"objManager" is a Wavefront .OBJ file viewer (3D models with .obj + .mtl file extension). With "objManager" you will have the ability to: 1) save your 3D models on your mobile device 2) display the 3D models in any times and under any working condition (no Internet connection is required) 3) create images of your 3D model using the HD rendering procedure (with anti-aliasing and image enhancement filters) 4) choose the background color 5) move the light where You want in the 3D world The software does not need an internet connections: each 3D model is stored in your mobile device (using the technology "iTunes File Sharing" or "Open In") and can be read and visualized by objManager. objManager works like the integrated image viewer of the device, you can then: - ZOOM IN / ZOOM OUT the 3D model by dragging two fingers on the screen or using the ZOOM controls - Rotate the 3D model (ROTATE TOOL) by dragging a finger across the screen - Move the 3D model (PAN TOOL) using the PAN controls - Load the 3D model (from the obj files archive of objManager; 3D models are displayed in alphabetical order into the "obj Archive" of "objManager") - Save an infinite number of 3D models into the "obj Archive" of "objManager" (until the physical memory of the device is ended) - Share 3D models ( .obj files ) with File, Google Drive, DROPBOX, iFolders Safe, etc... or from iCloud Drive or other installed apps (cloud sharing: OUT) - Import 3D models from the web links, email attachments, File, Google Drive, DROPBOX, iFolders Safe, iCloud Drive or other installed apps (cloud sharing: IN) Compatibility with: 1) Maya 3D 2) Blender 3) 3D Studio 4) Finger3D 5) FingerCAD 6) Unity 7) 3D modeling software with export to .obj feature (or .obj + .mtl) If "objManager" is not enough for your aim, try the complete 3D modeler: Finger3D. "objManager" can also be used to view the .obj + .mtl models created with Finger3D in full screen (with orientation: Portrait).

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