Search Results for "google search engine"

Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. You can even combine both approaches efficiently in the same query, something no other engine can do. ...

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, including the Indri search engine in C++, the Galago search engine research framework in Java, the RankLib learning to rank library, ClueWeb09 and ClueWeb12 datasets and the Sifaka data mining application.

BlackRay is a persistent in-memory high performance relational database written in C++. It combines regular database features with search engine like performance. Please visit https://forge.softmethod.de for the main development site.

Kneobase is an enterprise search engine, based upon the Lucene search engine and the Spring framework. It allows to perform full-text search across many different content sources. It is highly adaptable out-of-the-box and has a pluggable architecture.

BlackRay is a high performance relational database, which combines regular database features with search engine like performance. Full transaction support, SQL and version controlled persisted snapshots characterize BlackRay.

DBPrism is a framework to generate dynamic XML from a database, it provides an high performance DBGenerator for Cocoon2. Also is a J2EE replacement for Oracle mod_plsql. This project also includes a Restlet-Oracle connector exam. and Lucene Domain In

Egothor is a high-performance, full-featured text search engine written entirely in Java. It is a technology suitable for nearly any application that requires full-text search.

FastFreeTextSearchFiles (fastfreetextsea) is a external, internal hard disk, USB flash pen, file indexer for Fast Free Text Search.

Whirlwind is a fuzzy matching database engine capable of providing human-like search results that make life much easier for users of websites searching for things like cars, houses, people and jobs.

myDbSearcher is a search engine for MySQL Databases. It is written in Java. It scans several tables on different databases. A XMLRPC-Server will give you access to the Index. Currently it runs on http://www.idowa.de/ueberblick/suche/index_html

XQEngine is a Java component for searching collections of XML documents that uses an XQuery front end. The engine has a straightforward API that allows it to be easily embedded in end user applications. Requires some basic Java programming skills.

MAOS (Meta-Attribute Object Store) is a light-weight Java library / framework implementing simple Object persistence using search-engine technology

TM4J is a topic map engine implemented entirely in Java. Topic maps are a standard paradigm for the interchange of knowledge structures. This project aims to produce a complete suite of tools for creating, processing and publishing topic map information.

Lucene has moved to Jakarta. Please visit http://lucene.apache.org/

XQuench is an XML Query parser and engine. The aim is to provide programmers with an API that implements the specifications at http://www.w3.org/XML/Query At first, XQuench will be Java-only. Future versions will include C++, while keeping a similar API.

Omseek has been renamed to Xapian. Xapian is a Search Engine Library, written in C++ with bindings for Perl, Python, PHP, Java, Tcl, C# and Ruby. It allows you to easily add advanced indexing and search facilities to your applications.

A word-pattern, dictionary and thesaurus search engine.

The Centre d'Informations (CI) aim is to articulate and display whatever type of knowledge available on a given field (see screenshots examples for various fields). The software is built as a network of information articulated using concepts (figure). The website should not be understood as a conventional search engine but as different ways to navigate within this knowledge (information and concept) network. Each information is thoroughly formalized; the aim is not exhaustivity or information amount but rather information quality so as to ensure the best possible articulation within the existing network (quality of the network) and ensure the subject diversity so as to cover the field with robustness.