Search Results for "web-based"

MiniSearch is a minimalist web search application with a built-in AI assistant that runs largely inside the browser for privacy-focused information retrieval. The project combines metasearch capabilities with local or remote language model inference to provide conversational answers alongside traditional search results. It is designed to be lightweight, easy to deploy with Docker, and configurable for both personal and hosted use cases.

Searchmonkey III is a modern desktop search tool for finding text in your files instantly. Originally used by thousands of Linux users, it has been rebuilt from the ground up for macOS, Windows, and Linux. Unlike traditional search tools, it performs real-time searches directly on disk — no indexing, no background services, and no stale results. Powered by ripgrep, it delivers fast, accurate results with support for regular expressions, file filtering, and live previews. Available...

Syncdrome is a standalone tool that creates a comprehensive catalog of files from your personal hard drives. It enables rapid keyword searches, delivering results in a style similar to web search engines. When a drive is connected, you can directly open files with your system’s default applications. The application lets you designate a working folder for storing the file catalog, which can even be located on a cloud storage service like Dropbox or Google Drive for easy access from any device. With an intuitive interface, Syncdrome also provides a Navigator for exploring your synchronized drives, a Bookmark system to save your favorite files with comments, and a Folder Sync feature to keep directories consistent between locations. ...

...The repo stores the full text of his essays (chunked), uses embeddings (e.g. via OpenAI embeddings) to allow semantic search over that corpus, and hosts a chat interface that combines retrieval results with LLM-based answering — enabling RAG (retrieval-augmented generation) over a fixed dataset. The app uses a Postgres database (with pgvector) hosted on Supabase for its embedding store, making the backend relatively simple and accessible, and the frontend is again built with Next.js/TypeScript for a modern responsive UI. By pulling together search and chat, it creates a useful tool both for readers who want to revisit or explore Paul Graham’s ideas thematically, and for learners or researchers who want to query specific essays or concepts quickly.

Web Page Application: https://shemeshg.github.io/desktop-search/ Github: https://github.com/shemeshg/desktop-search-code * Dropbox sync is performed manually (from admin screen) and not on interval.