Open Source ChromeOS Search Software

CLucene is a C++ port of Lucene: the high-performance, full-featured text search engine written in Java. CLucene is faster than lucene as it is written in C++.

Power searching on your desktop without the pain. Perform powerful desktop searches without having to index your system using regular expressions. Graphical equivalent to find/grep. Available for Windows (JAVA) and Linux (Gnome & KDE) and easy to translate into your locale.

Search and replace operations on file content accross multiple files. Recursive operations within entire directory trees. FAR comes with support for regular expressions (regex) over multiple lines, automatic backup and various character encodings. Run grep like extractions to condense or rearrange sources, or perform bulk file renaming.

Career Ops is an open-source platform designed to help individuals manage their job search process with a structured, operations-style approach that treats career development like a pipeline. It provides a system for organizing job applications, tracking progress across different stages, and maintaining visibility into opportunities, much like a lightweight CRM tailored for job seekers. The project emphasizes clarity and accountability, enabling users to monitor applications, follow-ups, and outcomes in a centralized environment. It is typically built with modern web technologies, allowing for easy customization and self-hosting by developers who want full control over their data. Career Ops focuses on reducing the chaos and fragmentation that often comes with job searching by introducing a repeatable workflow that can be iterated and improved over time. It also supports the idea of data-driven job searching.

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. The platform supports browser-level integration so users can set it as their default search engine for quick access. Its architecture emphasizes privacy by avoiding tracking and minimizing data collection while still enabling advanced AI features. Overall, MiniSearch targets users who want a self-hosted, Perplexity-style search experience with strong control over data and models.

rag-search is a lightweight Retrieval-Augmented Generation API service designed to provide structured semantic search and answer generation through a simple FastAPI backend. The project integrates web search, vector embeddings, and reranking logic to retrieve relevant context before passing it to a language model for response generation. It is built to be easily deployable, requiring only environment configuration and dependency installation to run a functional RAG service. The system supports configurable filtering, scoring thresholds, and reranking options, allowing developers to fine-tune retrieval quality. Its architecture is modular, separating handlers, services, and utilities to support customization and extension. Overall, rag-search serves as a practical starter backend for teams building AI search or question-answering applications on their own data.

turbovec is a Rust-based vector index with Python bindings for fast similarity search. It is built around TurboQuant, a quantization approach designed to reduce vector storage while preserving useful distance information. The project targets workloads where embedding search needs to be compact, efficient, and practical to integrate into Python applications. It avoids a separate training phase for the quantizer, which can simplify setup compared with systems that require codebook learning. TurboVec is useful for developers building retrieval, ranking, semantic search, recommendation, or AI memory systems. Its main value is combining Rust performance with a Python-facing workflow for modern vector search experiments and applications.

phpMorphy is morphological analyzer library written in pure PHP. Currently supports Russian, English and German languages.

OpenSearchServer is a powerful, enterprise-class, search engine program. Using the web user interface, the crawlers (web, file, database, etc.) and the client libraries (REST/API , Ruby, Rails, Node.js, PHP, Perl) you will be able to integrate quickly and easily advanced full-text search capabilities in your application: Full-text with basic semantic, join queries, boolean queries, facet and filter, document (PDF, Office, etc.) indexation, web scrapping,etc. OpenSearchServer runs on Windows and Linux/Unix/BSD.

Aperture is a Java framework for extracting and querying full-text content and metadata from various information systems (file systems, web sites, mail boxes, ...) and the file formats (documents, images, ...) occurring in these systems.

disk manager is a CD/DVD archiving tool. It storys the directory contents of any media so you can search it later. Its also designed as file explorer which makes it easy to find big files. Windows Version supports native file context menus.

This is a autorun menu for cd's. It link a name with a file and a short description. It can execute/open files, copy directories, execute commands, etc and it is really easy to use. (Spanish)

Enhanced version of the standard Unix strings(1) program which uses language models for automatic language identification and character-set identification, supporting over 1400 languages, dozens of character encodings, and 4800+ language/encoding pairs.

Distributed Desktop Search is the first attempt to enhance a wide-used file sharing software (Limewire) with the capabilities of a desktop search application, namely Google Desktop Search. The goal is to evolve from file-sharing to content-sharing.

Midlet that allows you to send e-mails from MIDP(j2me)-capable device.

PDFcat - Portable Document (PDF) Catalog Manager

A software for indexing and searching a samba based files sharing network.

SCAN (Smart Content Aggregation and Navigation) is a universal semantic content aggregator. It combines search, text analysis, tagging and metadata functions to provide new user experience of desktop navigation and document management.

Enable your academic documents on your hard-drive to be searched using an automated solution with limited user-intervention. All this is done in a non-intrusive manner, ensuring your files are not moved.

BeanQuery is a Java solution that allows for querying arbitrary collections of arbitrary object types by using a criteria like API in a declarative and typesafe manner.

A high-performance implementation of bloom filters, a lightweight duplicate detection algorithm.

Dessy is a DEsktop Search and SYnchronization framework for mobile devices. It allows file search using content, metadata, and custom tags, and synchronization of results, and entire file system subtrees. It works on MIDP 2.0 handsets and Java 2 SE.

Didaskon will deliver a framework for assembling a curriculum from existing learning objects provided by e-Learning services. The selection of learning objects will be based on the semantically annotated specification of the user's current skills.

The application should take a directory and parse it recursively or not, and execute a given executor. The executors shuold be pluggable and rendered on the application's ui according to some strict rules.

Java application using tree map algorithms to visualise disc space usage. Lets find forgotten large "space-eaters" files in an easy way.