Open Source Rust Search Software

fd is a program to find entries in your filesytem. It is a simple, fast and user-friendly alternative to find. While it does not aim to support all of find's powerful functionality, it provides sensible (opinionated) defaults for a majority of use cases. First, to get an overview of all available command line options, you can either run fd -h for a concise help message or fd --help for a more detailed version. fd is designed to find entries in your filesystem. The most basic search you can perform is to run fd with a single argument: the search pattern. Instead of just showing the search results, you often want to do something with them. fd provides two ways to execute external commands for each of your search results: the -x/--exec option runs an external command for each of the search results (in parallel), or the -X/--exec-batch option launches the external command once, with all search results as arguments.

rga is a line-oriented search tool that allows you to look for a regex in a multitude of file types. rga wraps the awesome ripgrep and enables it to search in PDF, docx, sqlite, JPG, movie subtitles (mkv, mp4), etc.

An open-source, lightning-fast, and hyper-relevant search engine that fits effortlessly into your apps, websites, and workflow. Meilisearch is a flexible and powerful user-focused search engine that can be added to any website or application. Search-as-you-type returns answers in less than 50 milliseconds. That's faster than the blink of an eye! Deploy in a matter of minutes. Smart presets let you start searching through your data with zero configuration. Send data to Meilisearch however you want, no need to match a schema or convert your dataset to a compatible format. Everyone makes mistakes! If typos break your search experience, many users will leave thinking what they were looking for just wasn't there. Start searching through your dataset in less than 5 minutes and quickly connect your codebase to Meilisearch with our official libraries. Meilisearch is designed to work out-of-the-box, no configuration needed.

Sonic is a super fast and lightweight, schema-less search backend that can be used in place of super-heavy and full-featured search backends like Elasticsearch. It is able to normalize language search queries, auto-complete search queries and offer the most relevant results. Being an identifier index rather than a document index, when queried it provides IDs that can be used to refer to matched documents in an external database.

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 for macOS, Windows, and Linux (AppImage, .deb, .rpm). On Linux, no installation is required — just download and run the AppImage.

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. Additionally, its File Name Cleaner allows you to apply custom patterns and substitution rules to modify file names efficiently.

Trieve is an all-in-one infrastructure for building hybrid vector search, recommendations, and RAG.