Displaying 1 to 11 from 11 results

tntsearch - A fully featured full text search engine written in PHP

  •    PHP

We created also some demo pages that show tolerant retrieval with n-grams in action. The package has bunch of helper functions like jaro-winkler and cosine similarity for distance calculations. It supports stemming for English, Croatian, Arabic, Italian, Russian, Portuguese and Ukrainian. If the built in stemmers aren't enough, the engine lets you easily plugin any compatible snowball stemmer. Some forks of the package even support Chinese. Unlike many other engines, the index can be easily updated without doing a reindex or using deltas.

Lemur - Search Engine

  •    Java

The Lemur Project develops search engines, browser toolbars, text analysis tools, and data resources that support research and development of information retrieval and text mining software. The project is best known for its Indri search engine, Lemur Toolbar, and ClueWeb09 dataset.

Terrier - Information Retrieval Platform

  •    Java

Terrier is a highly flexible, efficient, and effective open source search engine, readily deployable on large-scale collections of documents. Terrier implements state-of-the-art indexing and retrieval functionalities, and provides an ideal platform for the rapid development and evaluation of large-scale retrieval applications. Terrier can index large corpora of documents, and provides multiple indexing strategies, such as multi-pass, single-pass and large-scale MapReduce indexing.

MG4J - Managing Gigabytes for Java

  •    Java

MG4J (Managing Gigabytes for Java) is a free full-text search engine for large document collections written in Java. MG4J is a highly customisable, high-performance, full-fledged search engine providing state-of-the-art features (such as BM25/BM25F scoring) and new research algorithms. The main points of MG4J are Powerful indexing, Multi-index interval semantics, Virtual fields, Clustering and lot more.




HubbleDotNet - Open source full-text search engine

  •    

HubbleDotNet is an open source full text search database project based on .net framework. Fast, precise, SQL supported and easy to use.

riot - Go Open Source, Distributed, Simple and efficient Search Engine

  •    Go

Supporting riot, buy me a coffee.Riot is primarily distributed under the terms of the Apache License (Version 2.0), base on wukong.

scout - RESTful search server written in Python, powered by SQLite.

  •    Python

scout is a RESTful search server written in Python. The search is powered by SQLite's full-text search extension, and the web application utilizes the Flask framework.Scout can be installed from PyPI using pip or from source using git. Should you install from PyPI you will run the latest version, whereas installing from git ensures you have the latest changes.


ndx - Javascript (TypeScript) full text indexing and searching library

  •    TypeScript

ndx is a lightweight javascript (TypeScript) full-text indexing and searching library. Reddit Comments Search Engine - is a simple demo application that indexes 10,000 reddit comments. Demo application requires modern browser features: WebWorkers and IndexedDB. Comments are stored in the IndexedDB, and search engine is working in a WebWorker.

riddle - Ruby Client API for Sphinx

  •    Ruby

Riddle is a Ruby library interfacing with the Sphinx full-text search tool. It is written by Pat Allan, and has been influenced by both Dmytro Shteflyuk's Ruby client and the original PHP client. It can be used for interactions with Sphinx's command-line tools searchd and indexer, sending search queries via the binary protocol, and programmatically generating Sphinx configuration files. The syntax here, while closer to a usual Ruby approach than the PHP client, is quite old (Riddle was first published in 2007). While it would be nice to re-work things, it's really not a priority, given the bulk of Riddle's code is for Sphinx's deprecated binary protocol.

marian - A search engine focused on documentation.

  •    Javascript

Marian is an HTTP full text search service. You will need Node.js v8.0 or later.





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