Improve docs structure

docs/antora/modules/ROOT/content-nav.adoc

@@ -1,8 +1,13 @@
 * xref:index.adoc[]
 * xref:installation.adoc[]
 * xref:getting-started.adoc[]
-* xref:integration.adoc[]
 * xref:rendering.adoc[]
 * xref:customizing.adoc[]
+* xref:integration/index.adoc[]
+** xref:integration/gds.adoc[]
+** xref:integration/neo4j.adoc[]
+** xref:integration/snowflake.adoc[]
+** xref:integration/gql.adoc[]
+** xref:integration/pandas.adoc[]
 * link:{tutorials-docs-uri}[Tutorials]
 * link:{api-docs-uri}[API reference]

docs/antora/modules/ROOT/pages/customizing.adoc

@@ -10,7 +10,7 @@ If you have not yet created a `VisualizationGraph` object, refer to one of the f
 * xref:getting-started.adoc[Getting started] for creating a visualization graph from scratch using `neo4j-viz`
   primitives like link:{api-docs-uri}/node/[Node] and link:{api-docs-uri}/relationship/[Relationship] and
   link:{api-docs-uri}/visualization-graph[`VisualizationGraph`] directly.
-* xref:integration.adoc[] for importing data from a Pandas DataFrame or Neo4j GDS projection.
+* xref:integration/index.adoc[] for importing data from a Pandas DataFrame or Neo4j GDS projection.
 
 == Setting node captions
 

docs/antora/modules/ROOT/pages/getting-started.adoc

@@ -86,6 +86,6 @@ Now that we have covered the basics of creating and rendering a visualization gr
 Here are some suggestions for what to do next:
 
 * Browse the link:{tutorials-docs-uri}[notebook examples] for more examples and use cases
-* Learn about the xref:integration.adoc[integrations] with other libraries such as Neo4j GDS and Pandas
+* Learn about the xref:integration/index.adoc[integrations] with other libraries such as Neo4j GDS and Pandas
 * Check out the xref:rendering.adoc[rendering options] and convenience methods of `VisualizationGraph`
 * Read about our link:{api-docs-uri}/[API reference]

docs/antora/modules/ROOT/pages/index.adoc

@@ -1,10 +1,13 @@
 = Introduction
 
-This is the documentation for the `neo4j-viz` Python library by Neo4j.
-The library allows you to visualize graph data interactively in Python using a simple API.
+The Python Graph Visualization library allows you to visualize graph data interactively in Python.
 
-The library wraps the link:https://neo4j.com/docs/nvl/current/[Neo4j Visualization JavaScript library (NVL)], and provides additional features for working with graph data in Python.
-Notably, there are convenience methods for importing data from source such as link:https://pandas.pydata.org/[Pandas DataFrames], link:https://neo4j.com/docs/graph-data-science/current/[Neo4j Graph Data Science], link:https://neo4j.com/docs/python-manual/current/[Neo4j Database], and link:https://docs.snowflake.com/[Snowflake tables].
+The library wraps the JavaScript-based link:https://neo4j.com/docs/nvl/current/[Neo4j Visualization Library (NVL)] and adds convenience methods to import data from sources such as:
+
+* xref:integration/pandas.adoc[]
+* xref:integration/gds.adoc[]
+* xref:integration/neo4j.adoc[]
+* xref:integration/snowflake.adoc[]
 
 The source code is available on link:https://github.com/neo4j/python-graph-visualization[GitHub].
 If you have a suggestion on how we can improve the library or want to report a problem, you can create a link:https://github.com/neo4j/python-graph-visualization/issues/new[new issue].

docs/antora/modules/ROOT/pages/installation.adoc

@@ -1,6 +1,6 @@
 = Installation
 
-To install the latest version of the library, run:
+You can install the latest version of the library with `pip`:
 
 [source, console]
 ----
@@ -9,47 +9,16 @@ pip install neo4j-viz
 
 == Optional dependencies
 
-In addition, there are a few optional dependencies that you can install to enable additional features of the library.
+There are a few optional dependencies that you can install to enable additional features of the library.
 
-=== Pandas DataFrames `from_dfs` importer
+=== Integration with external sources
 
-To install the additional dependencies required for the link:{api-docs-uri}/from_pandas[`from_dfs`] importer you can run:
-
-[source, console]
-----
-pip install neo4j-viz[pandas]
-----
-
-=== Neo4j `from_neo4j` importer
-
-To install the additional dependencies required for the link:{api-docs-uri}/from_neo4j[`from_neo4j`] importer you can run:
-
-[source, console]
-----
-pip install neo4j-viz[neo4j]
-----
-
-=== Neo4j Graph Data Science `from_gds` importer
-
-To install the additional dependencies required for the link:{api-docs-uri}/from_gds[`from_gds`] importer you can run:
-
-[source, console]
-----
-pip install neo4j-viz[gds]
-----
-
-=== Neo4j Graph Data Science `from_snowflake` importer
-
-To install the additional dependencies required for the link:{api-docs-uri}/from_snowflake[`from_snowflake`] importer you can run:
-
-[source, console]
-----
-pip install neo4j-viz[snowflake]
-----
+The library can import data directly from xref:integration/index.adoc[external sources].
+Each integration page includes installation instructions for the needed dependencies.
 
 === Notebook tutorials
 
-To install all the additional dependencies required for the link:{tutorials-docs-uri}[notebook examples] you can run:
+You need to install some additional dependencies to run the link:{tutorials-docs-uri}[Jupyter notebook tutorials]:
 
 [source, console]
 ----