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Fix references to old gds-session notebooks
now called graph-analytics-serverless
1 parent 1ea3351 commit c02fb73

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doc/modules/ROOT/content-nav.adoc

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* xref:common-datasets.adoc[]
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* xref:rel-embedding-models.adoc[]
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* xref:bookmarks.adoc[]
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* xref:gds-session.adoc[]
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* xref:graph-analytics-serverless.adoc[]
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* xref:visualization.adoc[]
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* xref:tutorials/tutorials.adoc[]
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// https://docs.antora.org/antora/latest/navigation/include-lists/

doc/modules/ROOT/pages/algorithms.adoc

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(d:City {name: "Baltimore"}),
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(e:City {name: "Atlantic City"}),
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(f:City {name: "Boston"}),
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(a)-[:ROAD {cost: 50}]->(b),
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(a)-[:ROAD {cost: 50}]->(c),
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(a)-[:ROAD {cost: 100}]->(d),
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Some algorithms deviate from the standard syntactic structure.
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We describe how to use them in the Python client in the sections below.
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// // Suppose to be uncommented when the algorithms are available.
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// [NOTE]
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// ====
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// There are some algorithm which are available for xref:gds-session.adoc[GDS Sessions] only.
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// See the list:
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//
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// include::ROOT:partial$gds-session-algorithms-algorithms.adoc[]
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// ====
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[[algorithms-execution-mode]]
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== Execution modes

doc/modules/ROOT/pages/graph-analytics-serverless.adoc

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NOTE: Graph Analytics Serverless is not available by default. See the Aura https://neo4j.com/docs/aura/graph-analytics/#aura-gds-serverless[docs] for details on how to enable it.
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TIP: For ready-to-run notebooks, see our tutorials on GDS Sessions for xref:tutorials/gds-sessions.adoc[AuraDB] and xref:tutorials/gds-sessions-self-managed[self-managed databases].
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TIP: For ready-to-run notebooks, see our tutorials on GDS Sessions for xref:tutorials/graph-analytics-serveless.adoc[AuraDB] and xref:tutorials/graph-analytics-serveless-self-managed[self-managed databases].
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== GDS Session management

doc/modules/ROOT/pages/tutorials/graph-analytics-serveless.adoc

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This Jupyter notebook is hosted
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https://github.com/neo4j/graph-data-science-client/blob/main/examples/gds-sessions.ipynb[here]
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https://github.com/neo4j/graph-data-science-client/blob/main/examples/graph-analytics-serveless.ipynb[here]
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in the Neo4j Graph Data Science Client Github repository.
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The notebook shows how to use the `graphdatascience` Python library to
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listing, and deletion.
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If you are using self managed DB, follow
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link:../gds-sessions-self-managed[this example].
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link:../graph-analytics-serveless-self-managed[this example].
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== Prerequisites
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doc/modules/ROOT/pages/tutorials/graph-analytics-serverless-self-managed.adoc

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This Jupyter notebook is hosted
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https://github.com/neo4j/graph-data-science-client/blob/main/examples/gds-sessions-self-managed.ipynb[here]
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https://github.com/neo4j/graph-data-science-client/blob/main/examples/graph-analytics-serveless-self-managed.ipynb[here]
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in the Neo4j Graph Data Science Client Github repository.
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The notebook shows how to use the `graphdatascience` Python library to
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results to your Neo4j database. We will cover all management operations:
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creation, listing, and deletion.
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If you are using AuraDB, follow link:../gds-sessions[this example].
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If you are using AuraDB, follow link:../graph-analytics-serveless[this
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example].
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== Prerequisites
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