Search Results for "web-based"
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Showing 157 open source projects for "web-based"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Error to trace to log to deploy. One click. No SSH.AppSignal links every error to the trace, the trace to the log, the log to the deploy that shipped it.
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AnySearch Skill
Unified real-time search engine skill for AI agents
AnySearch Skill is a real-time search engine skill for AI agents. It gives agents a structured way to search the web, run vertical searches, perform parallel batch searches, and extract full-page content. The project is packaged as a skill rather than a standalone search application, so it is meant to be installed into compatible AI-agent environments. It supports multiple domain-specific search categories, making it useful when general web search is too broad. -
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MiniSearch
Minimalist web-searching platform with an AI assistant
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. -
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rag-search
RAG Search API
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. ... -
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Elasticsearch
A Distributed RESTful Search Engine
Elasticsearch is a distributed, RESTful search and analytics engine that lets you store, search and analyze with ease at scale. It lets you perform and combine many types of searches; it scales seamlessly, and offers answers incredibly fast with search results you can rank based on a variety of factors. Elasticsearch can be used for a wide variety of use cases, from maps and metrics to site search and workplace search, and with all data types. -
Enterprise-grade ITSM, for every businessFreshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
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Meilisearch
An open-source, lightning-fast, and hyper-relevant search engine
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... -
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turbovec
A vector index built on TurboQuant, written in Rust with Python
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. -
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fd
A simple, fast and user-friendly alternative to 'find'
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... -
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Career-Ops
AI-powered job search system built on Claude Code
...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. -
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Laravel Scout
Provides a driver based solution to searching your Eloquent models
Laravel Scout provides a simple, driver-based solution for adding full-text search to your Eloquent models. Once Scout is installed and configured, it will automatically sync your model changes to your search indexes. -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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Ransack
Object-based searching
Create search forms for your Ruby on Rails application with Ransack! Ransack is available in two modes: simple and advanced, allowing you to create either simple or advanced search forms. Simple mode works much like MetaSearch and is very easy to set up. The advanced mode makes use of Rails' nested attributes functionality in order to generate complex queries with nested AND/OR groupings, etc. This involves more complexity but does produce some very interesting search interfaces and puts... -
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Fuse.js
Lightweight fuzzy-search, in JavaScript
...This is useful if you want to override default options for all Fuse instances. Fuse.js supports logical query operators. These operators are used for filtering the data and getting precise results based on the given conditions. -
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Apache Lucene
Apache Lucene open-source search software
...The Apache Software Foundation provides support for the Apache community of open-source software projects. The Apache projects are defined by collaborative consensus-based processes, an open, pragmatic software license and a desire to create high-quality software that leads the way in its field. Apache Lucene, Apache Solr, Apache PyLucene, Apache Open Relevance Project and their respective logos are trademarks of The Apache Software Foundation. -
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Searchmonkey III
Real-time file search powered by ripgrep. No indexing. No stale result
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... -
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Katalog
Catalog your devices to search, analyze, and backup your files.
Catalog your devices to search, analyze, and backup your files: - Create catalogs from different sources or devices - Search and explore files even when the devices are disconnected - Organize and backup your collection of files, and get statistics User documentation: - Get started/Tutorial: https://stephanecouturier.github.io/Katalog/docs/tutorial - Download (Linux Flathub): https://flathub.org/en/apps/io.github.stephanecouturier.Katalog - Documentation:... -
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Syncdrome
Syncdrome: Fast, smart file catalog & search for your drives
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. ... -
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Searcher
Search utility for files
This utility is intended to help in search or grep for multiple content in multiple locations for multiple file types. For help/usage, see the wiki page: https://sourceforge.net/p/searcher/wiki/Home/ -
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local_search
Load filenames to a local database for an easy search
Load filenames to a local database for an easy search. This program is made with my Swedish Compiler. That is focusing on a simple Gui and support many different databases (PostgreSQL, MariaDB, SqLite, Odbc). It’s working under Linux (Wine). -
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Path Lister
Get list of files and folders tree
Folder digging tool to retrieve the list of files based on a search criteria. You can get on the file name, or full path. You can get the file count based on a file mask. -
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UniversalTextExtractor
Command-line toolset for extracting text from files
Command-line toolset for extracting text from files (documents, images, archives) into SQLite with OCR support. Simple, expandable, one shell script only. -
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Zoekt
Fast trigram based code search
...The indexer uses efficient n-gram dictionaries and posting lists to keep query latency low, while storing metadata (branch, language, repo) for precise filtering. A built-in web UI and JSON API enable both interactive exploration and integration into editors and other tools. It supports ranking heuristics such as path weighting and symbol awareness to surface likely matches first, even in monorepos. Incremental and parallel indexing let it keep up with active codebases, making it suitable for both local deployments and multi-tenant service setups. -
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z
Tracks your most used directories, based on 'frecency'
Tracks your most used directories, based on 'frecency'. After a short learning phase, z will take you to the most 'frecent directory that matches ALL of the regexes given on the command line, in order. For example, z foo bar would match /foo/bar but not /bar/foo. The rank of directories maintained by z undergoes aging based on a simple formula. The rank of each entry is incremented every time it is accessed. -
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FSearch
A fast file search utility for Unix-like systems based on GTK3
FSearch is a blazing-fast file search utility for Linux inspired by Windows’ Everything Search Engine, built to allow users to locate files and directories instantly by name rather than content. It achieves its high performance by indexing the filesystem and updating that index in real time, so as you create, rename, or delete files the results stay up to date without noticeable lag. The intuitive user interface supports incremental search — where results filter as you type — plus features... -
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IXSF Search
IXSF Search is a web interface for Windows Indexing Service
IXSF Search is a web interface for Windows Indexing Service / Microsoft Index Server. It's written in ASP.NET and can be easily adapted for searching your web-site or it may be used as a customizable intranet / desktop search. -
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Search Online (ver.Chrome Sel) [I.S.A]
Search Online (ver.Chrome Selinium) [Improved.Simplified.Alternative]
Search Online (ver.Chrome Selinium) [Improved.Simplified.Alternative] A desktop application developed using python 3.6.8 and other add-on libaries. Uses chrome driver and python 'Selinium' library to automate web browsing. Compatible only for windows OS. -
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Paul Graham GPT
RAG on Paul Graham's essays
...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.
