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Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text searchengine 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. ...
We built Conductor to help us orchestrate microservices-based process flows at Netflix with the following features, a distributed server ecosystem, which stores workflow state information efficiently. Allow creation of process/business flows in which each individual task can be implemented by the same/different microservices. Simple interface to connect workers, which execute the tasks in workflows. Full operational control over workflows with the ability to pause, resume, restart, retry and...
Searchengine and data mining applications and ClueWeb datasets.
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 searchengine in C++, the Galago searchengine 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 searchengine like performance. Please visit https://forge.softmethod.de for the main development site.
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Kneobase is an enterprise searchengine, based upon the Lucene searchengine 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 searchengine 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 searchengine written entirely in Java. It is a technology suitable for nearly any application that requires full-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 searchengine 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.
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.
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 SearchEngine 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.
Not a searchengine but navigation routes within a research domain.
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 searchengine 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.