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tboeghktboeghk
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update existing components
1 parent eeb3c88 commit 78733c1

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lines changed

‎_data/categories.yaml

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- name: responsewriters
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description: Response Writers
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image: fa-file-text
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- name: updateprocessors
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description: Update Processors
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image: fa-spinner
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#- name: updateprocessors
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# description: Update Processors
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# image: fa-spinner
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- name: searchcomponents
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description: Search Components
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image: fa-ship
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- name: utilities
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description: Utilities
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image: fa-gear
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- name: attic
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description: Attic (unmaintained)
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image: fa-chain-broken

‎_data/packages/bmax-queryparser.yaml

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name: Bmax Query Parser
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category: queryparsers
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category: attic
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description: A boosting dismax query parser for Apache Solr. The bmax query parser relies on field types and tokenizer chains to parse the user query, discover synonyms, boost and penalize terms at query time. Hence it is highly configurable. The lucene query composed is a boosted and reranked dismax query with a minimum must match of 100%.
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url: https://github.com/solr-cool/solr-bmax-queryparser
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license: Apache License v2
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license_url: http://choosealicense.com/licenses/apache-2.0/
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pros:
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- For E-Commerce centric applications
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- Used in production
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cons:
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- Native Lucene query syntax not supported
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manifest_deactivated: |
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{
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"version-constraint": "6 - 9",
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"plugins": [
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{
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"name": "queryparser",
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"setup-command": {
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"path": "/api/collections/${collection}/config",
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"payload": {
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"add-queryparser": {
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"name": "${BMAX_DEF_TYPE}",
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"class": "bmax:com.s24.search.solr.query.bmax.BmaxQParserPlugin"
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}
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},
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"method": "POST"
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},
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"uninstall-command": {
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"path": "/api/collections/${collection}/config",
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"payload": {
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"delete-queryparser": "${BMAX_DEF_TYPE}"
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},
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"method": "POST"
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}
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},
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{
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"name": "searchcomponent",
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"setup-command": {
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"path": "/api/collections/${collection}/config",
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"payload": {
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"add-searchcomponent": {
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"name": "${BMAX_DEF_TYPE}.booster",
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"class": "bmax:com.s24.search.solr.component.BmaxBoostTermComponent"
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}
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},
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"method": "POST"
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},
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"uninstall-command": {
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"path": "/api/collections/${collection}/config",
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"payload": {
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"delete-searchcomponent": "${BMAX_DEF_TYPE}.booster"
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},
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"method": "POST"
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}
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}
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],
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"parameter-defaults": {
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"BMAX_DEF_TYPE": "bmax"
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}
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}

‎_data/packages/language-detection.yaml

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name: Language Detection Component
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category: searchcomponents
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category: attic
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description: Solr search component for language detection.
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installation: Build Your Own
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url: https://gist.github.com/vsdev1/8397079

‎_data/packages/mapping-update-processor.yaml

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name: Mapping Update Processor
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category: updateprocessors
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category: attic
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description: The MappingUpdateProcessor lets you map value of a field to some other value based on a dictionary
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installation: Build Your Own
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url: https://github.com/cominvent/solr-mapping-processor
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license: Apache License v2
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license_url: http://choosealicense.com/licenses/apache-2.0/
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license_url: http://choosealicense.com/licenses/apache-2.0/

‎_data/packages/querqy-queryparser.yaml

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@@ -4,5 +4,3 @@ description: Querqy is a framework for query preprocessing in Java-based search
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url: https://github.com/querqy/querqy
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license: Apache License v2
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license_url: http://choosealicense.com/licenses/apache-2.0/
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pros:
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- Used in production

‎_data/packages/query-segmenter-queryparser.yaml

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name: Query Segmenter
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category: queryparsers
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category: attic
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description: The QuerySegmenter core library is used to find typed segments within a user query. For example, for the query “Pizza New York”, the segment “New York” can be extracted as a segment of type “city”. The typed segments are matched against a dictionary, which is usually a text file.
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installation: Solr Plugin (JAR)
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url: https://github.com/sematext/query-segmenter
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license: Apache License v2
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license_url: http://choosealicense.com/licenses/apache-2.0/
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pros:
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- Used in production
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- Supported Text, Geo, Date Segmenter

‎_data/packages/search-schemer.yaml

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name: SearchSchemer
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category: utilities
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category: attic
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description: "SearchSchemer is a simple application which allows to convert index structure between the following search engines: Solr, ElasticSearch, SenseiDB"
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installation: Build Your Own
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url: https://github.com/sematext/SearchSchemer

‎_data/packages/solr-autocomplete.yaml

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name: Solr AutoComplete
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category: searchcomponents
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category: attic
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description: "Solr SearchComponent for altering and re-executing queries that product poor results. It contains two components: Relaxer & DYM (aka Did You Mean ReSearcher). They can be used to improve user's search experience."
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pros:
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- Used in production
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- Relax phrase query, mm parameter, term
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- Correct mispell query
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- Supported distributed search
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installation: Solr Plugin (JAR)
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url: https://github.com/sematext/solr-autocomplete
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license: Apache License v2

‎_data/packages/solr-rdf.yaml

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name: "SolRDF: Apache Solr meets RDF"
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category: searchcomponents
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category: attic
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description: SolRDF (i.e. Solr + RDF) is a set of Solr extensions for managing (index and search) RDF data.
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installation: Solr Plugin (JAR)
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url: https://github.com/SeaseLtd/SolRDF

‎_data/packages/solr-researcher.yaml

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name: Solr Researcher
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category: searchcomponents
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category: attic
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description: The AutoComplete (AC) enhances the search experience through suggest-as-you-type and auto-complete functionality built into the search form. As one starts to enter search terms, the module detects a pause in typing and offers a list of suggested searches. One can then easily pick one of the suggestions or continue refining the suggestions by typing in more of the query. For example, if you type "bass" AC might offer suggestions that include "bass fishing" or "bass guitar", and even "sea bass" (note how "bass" is not necessarily the first word)
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pros:
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- Used in production
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- Automatic mispelling correction
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- Suggestion group by a field
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- Full word match boosting, "word order" boost
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- Supported distributed search
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installation: Solr Plugin (JAR)
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url: https://github.com/sematext/solr-researcher
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license: Apache License v2

‎_data/packages/solr-swan-queryparser.yaml

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name: "SolrSwan: Proximity and Boolean Parser"
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category: queryparsers
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category: attic
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description: SolrSwan is a query parser and highlighter for Solr that accepts proximity (SAME, WITH, ADJACENT, NEAR) and Boolean queries.
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url: https://github.com/o19s/SolrSwan
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license: Apache License v2
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license_url: http://choosealicense.com/licenses/apache-2.0/
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pros:
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- SWAN syntax is commonly used in patent search.

‎_data/packages/synonym-expanding-edismax-queryparser.yaml

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name: Lucene/Solr Synonym-Expanding EDisMax Parser
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category: queryparsers
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category: attic
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description: Solr query parser plugin that performs proper query-time synonym expansion.
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url: http://nolanlawson.com/2012/10/31/better-synonym-handling-in-solr
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license: Apache License v2
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license_url: http://choosealicense.com/licenses/apache-2.0/
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pros:
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- Supports phrases in query-time synonyms
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- Apply same synonyms across all fields
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- Simple setup
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cons:
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- Cannot tune synonyms per field
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- May generate huge queries

‎_includes/component.html

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<div class="row">
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<div class="col-md-8 well">
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<div class="col-md-12 well">
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<div class="media">
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<div class="media-left">
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<a href="{{ component.url }}">
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<div class="media-body">
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<h4 class="media-heading">
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<a href="{{ component.url }}"><code>{{ component.name }}</code></a>
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{% if repo.updated_at %}
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<small class="pull-right">
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last updated {{ repo.updated_at | date: "%B %-d, %Y" }}
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</a>
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</li>
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{% endif %}
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<!--
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{% if details.stargazers_count %}
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<li>
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<i class="fa fa-star-o"></i>
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</li>
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{% endfor %}
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{% endif %}
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-->
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</ul>
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</div>
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</div>
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</div>
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<!--
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<div class="col-md-4 summary">
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<ul class="list-unstyled fa-ul">
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{% if releases.solr_package %}
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{% if releases.solr_package %}
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<li class="text-success"><i class="fa-li fa fa-cloud-download"></i>Package Manager Installation</li>
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{% elsif releases.releases[0] %}
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<li class="text-info"><i class="fa-li fa fa-floppy-o"></i>Manual installation (JAR)</li>
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{% else %}
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{% else %}
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<li class="text-warning"><i class="fa-li fa fa-cogs"></i>Compile your own</li>
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{% endif %}
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</ul>
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{% for r in releases.releases limit: 3 %}
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<li>
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<i class="fa-li fa fa-tag"></i>
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{{ r.name }}
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{{ r.name }}
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<small class="text-muted">{{ r.published_at | date: "%B %-d, %Y" }}</small>
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</li>
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{% endfor %}
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</ul>
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{% endif %}
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</div>
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-->
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</div>
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‎_layouts/archive.html

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</button>
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{% endfor %}
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</div>
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<hr />
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</div>
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</div>
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<div class="row">
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<div class="col-md-12 text-center">
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<div class="alert alert-info" role="alert">
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<strong>We are finally overhauling solr.cool for you.</strong> Until new features
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arrive, we updated the components below!
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</div>
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</div>
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</div>
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{% for category in site.data.categories %}

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