We're running a mediawiki in our organisation. The standard search engine integrated with Mediawiki provides only mediocre search results and we're trying to improve this situation. I want to use solr, but currently I'm stuggling with integration of the solr search results in Mediawiki. Is there a standard tool or a library that would allow for the integration of solr search results in mediawiki.
Probably not really, but you can try to learn a thing or two from this extension:
http://www.mediawiki.org/wiki/Extension:SolrStore
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I am working on solr 8 version. I want to integrate solr with NLP improve the search relevancy. I am unable to find any solution. please help me to configure and intergrate solr with NLP
Here is a starting point for what you are asking for, for the 8.2 solr version:
Integrating openNLP with solr 8.2
Also, here is another link where you can see some things in action with openNLP and solr with respect to search relevancy:
Named Entity Extraction with OpenNLP
There is a Medium post on how to add embedding to solr. I suggested you to use Sentence-transformers from Huggingface library to build sentence embedding.
https://medium.com/swlh/fun-with-apache-lucene-and-bert-embeddings-c2c496baa559
Has anyone ever tried to use the model that has been generated by the Watson Knowledge studio outside of the Alchemy language API?
Or do I always need to upload the model to knowledge studio and from then on talk to the api?
Though I have always used my Knowledge Studio based models on Natural Language Understanding, I believe it's possible to deploy these models to Discovery and Watson Explorer as well for text extraction.
Check this documentation for details on how to deploy the model to different components.
I have used solr to index and search pdf files.. it is working fine. Now I am said to use Mahout to my project and was told to integrate it with solr. I am new to this technology so please do help me from scratch. in a basic way....
Do i need to download and inmstall mahout first or will modifications in schema and solrconfig will make it? for integrating tika functionality it was just modification in the config file.
Mahout is a separate project, so you have to download, install, and learn how to use it...will not be a one afternoon thing.
But, you should be aware of this Lucene clasiffication module (Solr is built on top of Lucene). It is not as complete as Mahout, but for not massive projects, with can work really well. The advantage is that it integrates with Lucene/Solr, so you have much less work to do. I have used successfully with Sorl4.6
I am exploring the features of Apache Jackrabbit to be used in one of my projects. One of the features that I would require is a faceted search implementation based on the metadata stored in the content repository. Does Jackrabbit provide any out of the box faceted search implementation? Or should I need to go for Apache solr or some other search engine for obtaining the faceted search feature. Any Jackrabbit experts out there, who have faced similar challenge ?
The default search engine provided with Jackrabbit is lucene. This guide to doing faceted search with lucene may prove helpful to you.
everyone. I used Ruby and Rails before, and I enjoy Rails's ORM, which make me develop application very fast... ...(also make me reduce lots of SQL statement.) But now, I need to move from ROR to Google App Engine. Is there any ORM tools on that? Also, I heart that Google have some amazing tools called "Google Web Toolkit", can I take advance of this tools within any setup? Thank u.
GWT is not a ORM tool by any stretch of imagination. You can check JDO or JPA for GAE applications built using GWT. My personal favorite is Objectify, a perfect balance between native API and JDO. YMMV
If you are not particular of language, have you considered Python + Django?
I've been lead developer for mardao, https://github.com/sosandstrom/mardao/wiki/Quick for three years now, and it is a combined ORM and Dao generator. You run it as a maven plugin at build-time, it scans your JPA-annotated domain objects and generates DAOs for you, using the Low-level API of the Datastore. No classpath scanning or reflection is used run-time!
It is in stable production maturity (version 2.3.0) and available in Maven Central.