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Rename index.adoc to installation.adoc
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Mats-SX committed Oct 3, 2024
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2 changes: 1 addition & 1 deletion doc/modules/ROOT/content-nav.adoc
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* xref:index.adoc[]
* xref:introduction.adoc[]
* xref:installation/index.adoc[]
* xref:installation/installation.adoc[]
** xref:installation/supported-neo4j-versions.adoc[]
** xref:installation/neo4j-desktop.adoc[]
** xref:installation/neo4j-server.adoc[]
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4 changes: 2 additions & 2 deletions doc/modules/ROOT/pages/getting-started/index.adoc
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:description: This chapter gives users the basic information to start using the Neo4j Graph Data Science library.
:keywords: GDS, getting started

After xref:installation/index.adoc[installation], you can start using the GDS library in two main ways:
After xref:installation/installation.adoc[installation], you can start using the GDS library in two main ways:

* To run one or more algorithms on an in-memory graph, inspect the result of the computation, and potentially write it back to Neo4j.
* To configure a machine learning pipeline and use it to train a model, then use the model for prediction.
Expand Down Expand Up @@ -43,4 +43,4 @@ The typical workflow with a machine learning pipeline in GDS is as follows:

image::pipeline-model.svg["Workflow of pipelines and models.", 400]

The xref:getting-started/ml-pipeline.adoc[] example shows how to configure and use a basic Link Prediction pipeline.
The xref:getting-started/ml-pipeline.adoc[] example shows how to configure and use a basic Link Prediction pipeline.
2 changes: 1 addition & 1 deletion doc/modules/ROOT/pages/index.adoc
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Expand Up @@ -24,7 +24,7 @@ endif::[]
The manual covers the following areas:

* xref:introduction.adoc[Introduction] -- An introduction to the Neo4j Graph Data Science library.
* xref:installation/index.adoc[Installation] -- Instructions for how to install and use the Neo4j Graph Data Science library.
* xref:installation/installation.adoc[Installation] -- Instructions for how to install and use the Neo4j Graph Data Science library.
* xref:common-usage/index.adoc[Common usage] -- General usage patterns and recommendations for getting the most out of the Neo4j Graph Data Science library.
* xref:management-ops/index.adoc[Graph management] -- A detailed guide to the graph catalog and utility procedures included in the Neo4j Graph Data Science library.
* xref:algorithms/index.adoc[Graph algorithms] -- A detailed guide to each algorithm in their respective categories, including use-cases and examples.
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.2+<.^| xref:management-ops/utility-functions.adoc[The version of the installed GDS]
| `gds.version` label:procedure[Procedure]
| `gds.version` label:function[Function]
| xref:installation/index.adoc#_verifying_the_installation[List all operations in GDS] | `gds.list` label:procedure[Procedure]
| xref:installation/installation.adoc#_verifying_the_installation[List all operations in GDS] | `gds.list` label:procedure[Procedure]
| xref:common-usage/logging.adoc#logging-progress-logging[List logged progress] | `gds.listProgress` label:procedure[Procedure]
| xref:common-usage/logging.adoc#logging-user-warnings[List warnings] | `gds.userLog` label:procedure[Procedure]
.2+<.^| xref:installation/index.adoc#_verifying_the_installation[The license state of the installed GDS] | `gds.license.state` label:procedure[Procedure]
.2+<.^| xref:installation/installation.adoc#_verifying_the_installation[The license state of the installed GDS] | `gds.license.state` label:procedure[Procedure]
| `gds.isLicensed` label:function[Function]
.2+<.^| xref:management-ops/utility-functions.adoc#utility-functions-node-path[Node id functions]
| `gds.util.asNode` label:function[Function]
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4 changes: 2 additions & 2 deletions doc/modules/ROOT/pages/production-deployment/composite.adoc
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Expand Up @@ -48,7 +48,7 @@ Another use case is to replicate the graph's topology across multiple shards, wh

In this scenario we need to set up the shards to run the Neo4j Graph Data Science library.

Every shard that will run the Graph Data Science library should be configured just as a standalone GDS database would be, for more information see xref:installation/index.adoc[Installation].
Every shard that will run the Graph Data Science library should be configured just as a standalone GDS database would be, for more information see xref:installation/installation.adoc[Installation].

The composite database does not require any special configuration, i.e., the GDS library plugin does not need to be installed.
However, the Composite database should be configured to handle the amount of data received from the shards.
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In this scenario we need to set up the proxy to run the Neo4j Graph Data Science library.

The dbms that manages the composite database needs to have the GDS plugin installed and configured.
For more information see xref:installation/index.adoc[Installation].
For more information see xref:installation/installation.adoc[Installation].
The proxy node should also be configured to handle the amount of data received from the shards as well as executing graph projections and algorithms.

Fabric shards do not need any special configuration, i.e., the GDS library plugin does not need to be installed.
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