materialAssist vs LatentChat

Would you like to keep an overview of your material in the workplace? Would you like to avoid the search for the right material (e.g. edgebands)? With the materialAssist you always know where all your edgebands are and how much material per type is still available at the workplace. At the same time, you can have the exact location of the edgeband that you want to process next located. In the future we will expand this function - then you can also use the HOMAG materialAssist to manage your plate remnants, for example. materialAssist Edge for edge band management Clear management of your edgebands: Document all storage and retrieval and always know how much edging material you still have at the workplace. LED display for optimal organization: Reduce your set-up times by changing edges faster and avoid searching for edge strips. LEDs show you the storage space on the edge shelf and mark the edge on the shelf that is to be processed next (pick by light). Time saving in label printing: Print the edging tape label directly from the app and thus label your edges. The free construction plan for the edgeband shelf (for organizing and storing the edgebands) is available for download free of charge: homag.com/edgebandmanagement

Try different generative language models with LatentChat, a fully offline, on-device private AI chatbot. LatentChat is ready to use right out of the box. Ask questions, brainstorm, reason, transcribe speech, add your own models and create with your customized chat companion from anywhere, even without an internet connection. - Local chat Try models like Llama, Gemma, Qwen and Mistral or use your own local LLMs by selecting your preferred open-source language models stored on your device. Reasoning models are supported, too. - Remote chat LatentChat can be used as a client to connect to any OpenAI-compatible and Anthropic-compatible API endpoint, whether it is running on your own private servers like Ollama, LM Studio or on cloud services OpenRouter (Bring your own API Key). - Retrieval-Augmented Generation (RAG) Create your knowledge center from text or files (PDF, TXT, JSON, HTML) and retrieve your documents while you chat to ask related questions or summarize. A RAG system can also help the model reduce hallucinations by referencing the knowledge you added. - Vision capabilities Try multimodal models like Qwen 3 VL, InternVL and LFM2.5 with vision capabilities, to analyze images or extract text. - Transcription and Voice (STT and TTS) Transcribe recordings or audio files with Whisper and read messages aloud with different voice styles. Multiple languages are supported. - System Prompts Use System Prompts to personalize your conversations by providing custom instructions that can modify the behavior or personality of the AI. Features: == Completely offline and on-device processing == Your prompts remain private and are never shared == Model catalog: a selection of LLMs downloadable from HuggingFace == Bring your AI models: download and choose your favorite LLMs (.gguf) == Connect to servers like Ollama or LM Studio for more powerful models == Local RAG: Integrate your own knowledge from text == Vision capabilities with multimodal models to process images == Text to speech: read messages aloud (English, Spanish, French, Portuguese) == Multilingual transcription (STT) using Whisper == Customize system instructions and parameters == Shortcuts integration == No subscriptions, buy once and get any update Read the terms and privacy policy before using this app, available on latentlake.com/termspolicy/chat-policy-terms