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Neberej: AI-Enhanced Semantic Search for Mac Users

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The content outlines a local file indexing and search tool that enhances quick access to documents. It utilizes various models, including PyPDF2, pytesseract, beautifulsoup4, and python-docx. The system consists of two main components: a backend handling the creation of embeddings and a frontend that communicates through REST APIs. To initiate the application, users can run ./start-frontend.sh and ./start-backend.sh. The build process produces a .dmg file for installation in the dist_electron/ folder. After installation, users can toggle the search feature with Ctrl + Space (or Cmd + Space) and employ additional shortcuts for navigating the results—Backspace to edit input, Esc to exit, and the arrow keys to scroll through results, with Enter to open selected folders.

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