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Alex Ksikes b118558962 MLT Query: Support for artificial documents 
Previously, the only way to specify a document not present in the index was to
use `like_text`. This would usually lead to complex queries made of multiple
MLT queries per document field. This commit adds the ability to the MLT query
to directly specify documents not present in the index (artificial documents).
The syntax is similar to the Percolator API or to the Multi Term Vector API.

Closes #7725
 		2014-09-29 15:49:13 +02:00
..
community Docs: Update frontends.asciidoc 2014-08-18 12:59:31 +02:00
groovy-api Updated groovy docs to point to the new groovy repo 2014-05-14 12:08:02 +02:00
java-api Docs: fix no callouts refer to list item 3 2014-09-23 13:30:36 +02:00
javascript added doc page for the JavaScipt client, and listed it in the clients list. 2013-12-17 15:26:29 -07:00
perl [DOCS] Updated the Perl docs 2014-03-09 19:45:16 +01:00
python [DOCS] adding a note on python client versioning schema 2014-02-11 03:43:53 +01:00
reference MLT Query: Support for artificial documents 2014-09-29 15:49:13 +02:00
river [DOCS] Fixed typo 2013-10-05 17:10:30 +02:00
ruby [DOC] Added comprehensive documentation for the Ruby and Rails integrations 2014-07-10 11:21:27 +02:00
README.md [DOCS] various docs fixes 2014-01-23 10:52:13 +01:00

README.md

The Elasticsearch docs are in AsciiDoc format and can be built using the Elasticsearch documentation build process

See: https://github.com/elasticsearch/docs