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Fix asciidoc errors and warnings (#3196)
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* Fix dropping cells from incomplete row detected end of table

* Fix id assigned to block already in use
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malliaridis authored Feb 18, 2025
1 parent ddb8dd4 commit 4e98925
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Expand Up @@ -62,6 +62,7 @@ The next sections describe some installation options:
| xref:package-manager.adoc[]: Package-based plugins.
| xref:cluster-plugins.adoc[]: Cluster-level plugins.
| xref:replica-placement-plugins.adoc[]: Plugins specifically for replica placement.
|
|===
// end::plugin-sections[]
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Expand Up @@ -396,7 +396,7 @@ At this point, if you run a query on a node having e.g., `rack=rack1`, Solr will

=== List Cluster Properties

[tabs#setobjproperty-request]
[tabs#listclusterproperties-request]
======
V1 API::
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=== Fetch Cluster Property

[tabs#setobjproperty-request]
[tabs#fetchclusterproperty-request]
======
V1 API::
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Expand Up @@ -166,7 +166,8 @@ Here are sections throughout the Guide describing each screen of the Admin UI:
| xref:query-guide:query-screen.adoc[]: Form-based query builder.
| xref:query-guide:stream-screen.adoc[]: Submit streaming expressions and see results and parsing explanations.
| xref:query-guide:sql-screen.adoc[]: SQL query runner with tabular results.
| xref:query-guide:schema-browser-screen.adoc[]: Field-level schema details.
| xref:indexing-guide:schema-browser-screen.adoc[]: Field-level schema details.
|
|===
// end::ui-collection-tools[]
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Expand Up @@ -3270,7 +3270,7 @@ With class name (legacy)::

*Example 2:*

[tabs#lang-spanish]
[tabs#lang-spanish-plural]
======
With name::
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Expand Up @@ -66,7 +66,6 @@ If you have custom parsing needs, you may want to extend that class to create yo
| xref:sql-query.adoc[]: SQL language support for Solr.
| xref:query-screen.adoc[]: Form-based query builder.
| xref:sql-screen.adoc[]: SQL query runner with tabular results.
|
|===
// end::parser-sections[]
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Expand Up @@ -129,7 +129,7 @@ Many are shared but for the full set of parameters of the model you are interest
Apache Solr uses https://github.com/langchain4j/langchain4j[LangChain4j] to support text vectorisation.
The models currently supported are:

[tabs#supported-models]
[tabs#supported-models-hugging-face]
======
Hugging Face::
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