VecML vs Embark Reader

VecML APP offers tools for intelligent photo search and large language models (LLMs) fully on device. Users can select from a range of small LLMs and engage in conversations with documents stored locally. The app can process files (PDFs, DOC documents, images, etc.) to generate embedding vectors, which are stored locally on the device. These embedding vectors are crucial for RAG (retrieval-augmented generation) capabilities, enhancing the LLM's ability to provide more accurate and relevant responses when queries are related to the local files.

Read, organize, and track arXiv research papers. If you're drowning in browser tabs full of papers you'll "read later," this is for you. Browse daily arXiv paper drops by category, mark papers as read, download PDFs for offline reading, and organize everything with folders. Finally bring order to your research reading list. Track GitHub repos linked to papers to see when "code coming soon" actually ships. Import your existing Chrome tabs to escape tab bankruptcy, search arXiv directly from the app. Download the app for desktop too. Thank you to arXiv for use of its open access interoperability. Embark Reader was not reviewed or approved by, nor does it necessarily express or reflect the policies or opinions of, arXiv.