searchhub - Fusion demo app searching open-source project data from the Apache Software Foundation

  •        5

Search Hub Fusion Application

https://github.com/Lucidworks/fusion-seed-app#readme

Tags
Implementation
License
Platform

   




Related Projects

solr-scale-tk - Fabric-based framework for deploying and managing SolrCloud clusters in the cloud.


Setup========Make sure you're running Python 2.7 and have installed Fabric and boto dependencies. On the Mac, you can do:```sudo easy_install fabricsudo easy_install boto```For more information about fabric, see: http://docs.fabfile.org/en/1.8/Clone the pysolr project from github and set it up as well:```git clone https://github.com/toastdriven/pysolr.gitcd pysolrsudo python setup.py install```Note, you do not need to know any Python in order to use this framework.Local Setup========The framewor

fusion-examples


This repository contains various examples for running and working with Lucidworks Fusion. Lucidworks Fusion may be downloaded at http://lucidworks.com/fusion/download/

code-examples


Code Examples from LucidWorks for Lucene, Solr, LucidWorks Search, LucidWorks Big Data, Mahout and other projects

Prism - Solr and LucidWorks search user interface


Solr and LucidWorks search user interface



fusion-builder


Public docker image with Jenkins slave and dependencies for building/testing Lucidworks Fusion

lucid-kstemmer - LucidWorks KStemmer (Solr 3.2 Compatible)


LucidWorks KStemmer (Solr 3.2 Compatible)

fusion-financial-demo - Simple Financial Demo for LWS that indexes S&P 500 company info, historical stock prices and Twitter feeds


Simple Financial Demo for LWS that indexes S&P 500 company info and historical stock price information.NOTE: if you want to try with a smaller number of companies, you can use the CSV files in https://github.com/lucidworks/fusion-financial-demo/tree/master/data/sp/sample interchangeably with the currently configured one in index-s-and-p by changing the start URL appropriately.

flare - Blacklight powered by LucidWorks Search


Blacklight powered by LucidWorks Search

behemoth-lws - Integration of Behemoth from Digital Pebble with LucidWorks Search


Integration of Behemoth from Digital Pebble with LucidWorks Search

air-travel - Mashup some air travel data using LucidWorks and Banana


Mashup some air travel data using LucidWorks and Banana

lucid-pyton - Python based LucidWorks BigData Client API


Python based LucidWorks BigData Client API

fusion-solr-plugins - Plugins for Solr to communicate with Fusion query and index pipelines


Plugins for Solr to communicate with Fusion query and index pipelines

managedfusion-rewriter - Managed Fusion URL Rewriter is a powerful URL manipulation engine based on the Apache mod_rewrite extension


Managed Fusion URL Rewriter is a powerful URL manipulation engine based on the {"Apache mod_rewrite"} extension. It is designed, from the ground up to bring all the features of {"Apache mod_rewrite"} to IIS 6.0 and IIS 7.0. Managed Fusion Url Rewriter works with ASP.NET on Microsoft's Internet Information Server (IIS) 6.0 and Mono XPS Server and is fully supported, for all languages, in IIS 7.0, including ASP.NET and PHP. Managed Fusion Url Rewriter gives you the freedom to go beyond the standard URL schemes and develop your own scheme.URL Rewriter provides web site owners with the ability to replace URL paths and querystring into links that your users can easily remember without the need for bookmarks. As an added benefit your web site becomes search engine friendly, which means higher page ranking from the search engines, and should result in better lead generation.

ACS-Deployment-Tutorial - A tutorial on how to deploy a Dockerised deep learning application on Azure Container Services


Deploying machine learning models can often be tricky due to their numerous dependencies, deep learning models often even more so. One of the ways to overcome this is to use Docker containers. Unfortunately, it is rarely straight-forward. In this tutorial, we will demonstrate how to deploy a pre-trained deep learning model using Azure Container Services, which allows us to orchestrate a number of containers using DC/OS. By using Azure Container Services, we can ensure that it is performant, scalable and flexible enough to accommodate any deep learning framework. The Docker image we will be deploying can be found here. It contains a simple Flask web application with Nginx web server. The deep learning framework we will use is the Microsoft Cognitive Toolkit (CNTK) and we will be using a pre-trained model; specifically the ResNet 152 model.Azure Container Services enables you to configure, construct and manage a cluster of virtual machines pre-configured to run containerized applications. Once the cluster is set up you can use a number of open-source scheduling and orchestration tools, such as Kubernetes and DC/OS. This is ideal for machine learning application since we can use Docker containers which enable us to have ultimate flexibility in the libraries we use and allows us to easily scale up based on demand. While always ensuring that our application remains performant. You can create an ACS through the Azure portal but in this tutorial we will be constructing it using the Azure CLI.

Solr - Blazing-fast, open source enterprise search platform


Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, dynamic clustering, database integration, and rich document (e.g., Word, PDF) handling. Solr is highly scalable, providing distributed search and index replication, and it powers the search and navigation features of many of the world's largest internet sites.

spark-kafka-docker - Docker container to locally run Spark and Kafka


Docker container to locally run Spark and Kafka

docker-solr - a Docker container running a continuous Solr server


a Docker container running a continuous Solr server

splainer-search - Angular JS Solr and Elasticsearch Diagnostic Search Services


Splainer Search is an Angular Solr and Elasticsearch Search library focussed on relevance diagnostics. It's used in relevancy tuning tools Quepid and Splainer. Its available for anyone to use (see license).Splainer search utilizes a JSONP wrapper for communication with Solr. Elasticsearch communicates clearly with simple HTTP and JSON. All fields are explained and highligted. A friendly interface is provided to specify the arguments in terms of a Javascript object. See below for basic examples.

yelp-fusion - Yelp Fusion API


Yelp Fusion includes better tools for developers to build with the new Yelp Fusion API, which provides access to the industry leading Yelp content and data, a revamped developer portal, and cool new partner integration examples to inspire developers.Our getting started tutorial provides step-by-step instructions to get up and running with the new Yelp Fusion API.