Restructuring and version for Data Platform

.circleci/config.yml

@@ -43,7 +43,7 @@ parameters:
     type: string
     default: "undefined"
 
-  arangodb-3_13:
+  arangodb-4_0:
     type: string
     default: "undefined"
 
@@ -116,7 +116,7 @@ jobs:
 
             python3 generate_config.py \
               --workflow << pipeline.parameters.workflow >> \
-              --arangodb-branches << pipeline.parameters.arangodb-3_10 >> << pipeline.parameters.arangodb-3_11 >> << pipeline.parameters.arangodb-3_12 >> << pipeline.parameters.arangodb-3_13 >> \
+              --arangodb-branches << pipeline.parameters.arangodb-3_10 >> << pipeline.parameters.arangodb-3_11 >> << pipeline.parameters.arangodb-3_12 >> << pipeline.parameters.arangodb-4_0 >> \
               --arangodb-branch << pipeline.parameters.arangodb-branch >> \
               --release-type << pipeline.parameters.release-type >> \
               --docs-version << pipeline.parameters.docs-version >> \

PULL_REQUEST_TEMPLATE.md

@@ -9,4 +9,4 @@
 - 3.10: 
 - 3.11: 
 - 3.12: 
-- 3.13: 
+- 4.0: 

site/config/_default/config.yaml

@@ -26,12 +26,12 @@ module:
       excludeFiles:
 #       - arangodb/3.10/*
 #       - arangodb/3.11/*
-#       - arangodb/3.13/*
+#       - arangodb/4.0/*
 
     - source: content/arangodb/3.12
       target: content/arangodb/stable
 
-    - source: content/arangodb/3.13
+    - source: content/arangodb/4.0
       target: content/arangodb/devel
 
 markup:

site/content/_index.md

@@ -62,7 +62,7 @@ data management, monitoring, and automation.
 
 ### Graph Queries
 
-Utilizing connected data starts with running simple [graph queries](arangodb/3.12/aql/graphs/_index.md).
+Utilizing connected data starts with running simple [graph queries](arangodb/3.12/aql/graph-queries/_index.md).
 Using ArangoDB and its query language, you can determine the shortest paths between nodes as well as execute graph traversals. A traversal starts at a
 given node of a graph and follows the directly connected edges. The edges indicate
 what the next connected nodes are, and this discovery of neighbors can repeat.

site/content/ai-suite/_index.md

@@ -1,5 +1,5 @@
 ---
-title: The AI Suite of the Arango AI Data Platform
+title: The AI Suite of the Arango AI Data Platform (v3.0)
 menuTitle: AI Suite
 weight: 2
 description: >-
@@ -9,6 +9,12 @@ description: >-
   natural language querying, and AI-powered insights, all through an intuitive
   web interface
 ---
+{{< tip >}}
+The Arango AI Data Platform is available as a pre-release. To get
+exclusive early access, [get in touch](https://arango.ai/contact-us/) with
+the Arango team.
+{{< /tip >}}
+
 ## What's included
 
 The AI Suite is composed of three major components:
@@ -43,5 +49,5 @@ Alongside these components, you also get the following additional features:
 ## Sample datasets
 
 If you want to try out ArangoDB's data science features, you may use the
-[`arango-datasets` Python package](../arangodb/3.12/components/tools/arango-datasets.md)
+[`arango-datasets` Python package](../ecosystem/arango-datasets.md)
 to load sample datasets into a deployment.

site/content/ai-suite/graphml/_index.md

@@ -8,7 +8,7 @@ aliases:
   - arangographml
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/graphml/notebooks-api.md

@@ -79,7 +79,7 @@ news sources, and locations are interconnected into a large graph.
 
 ![Example Event](../../images/ArangoML_open_intelligence_visualization.png)
 
-The [`arango-datasets`](../../arangodb/3.12/components/tools/arango-datasets.md) Python package
+The [`arango-datasets`](../../ecosystem/arango-datasets.md) Python package
 allows you to load pre-defined datasets into Arango Data Platform. It comes pre-installed in the
 GraphML notebook environment.
 

site/content/ai-suite/graphrag/_index.md

@@ -9,7 +9,7 @@ aliases:
   llm-knowledge-graphs
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/graphrag/technical-overview.md

@@ -6,9 +6,8 @@ description: >-
   Technical overview of ArangoDB's GraphRAG solution, including
   architecture, services, and deployment options
 ---
-
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/graphrag/tutorial-notebook.md

@@ -6,7 +6,7 @@ description: >-
 weight: 25
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/graphrag/web-interface.md

@@ -6,7 +6,7 @@ description: >-
  Learn how to create, configure, and run a full GraphRAG workflow in just a few steps
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/notebook-servers.md

@@ -8,7 +8,7 @@ aliases:
   - arangograph-notebooks
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/reference/gen-ai.md

@@ -7,7 +7,7 @@ description: >-
 weight: 5
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/reference/importer.md

@@ -7,7 +7,7 @@ description: >-
 weight: 10
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/reference/mlflow.md

@@ -7,7 +7,7 @@ description: >-
 weight: 25
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/reference/retriever.md

@@ -7,7 +7,7 @@ description: >-
 weight: 15
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/ai-suite/reference/triton-inference-server.md

@@ -6,7 +6,7 @@ description: >-
 weight: 30
 ---
 {{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
+The Arango AI Data Platform is available as a pre-release. To get
 exclusive early access, [get in touch](https://arango.ai/contact-us/) with
 the Arango team.
 {{< /tip >}}

site/content/arangodb/3.10/develop/integrations/spring-data-arangodb/reference-version-3/_index.md

@@ -1,5 +1,5 @@
 ---
-title: Spring Data ArangoDB - Reference (version 3)
+title: Spring Data ArangoDB - Reference (v3.0)
 menuTitle: Reference version 3
 weight: 6
 description: ''

site/content/arangodb/3.11/about/features/community-edition.md

@@ -117,23 +117,23 @@ see [arangodb.com/community-server/](https://www.arangodb.com/community-server/)
   match up documents from different collections, allowing normalized data models.
 
 - **Advanced Path-Finding with Multiple Algorithms**:
-  Graphs can be [traversed](../../aql/graphs/traversals-explained.md) with AQL to
+  Graphs can be [traversed](../../aql/graph-queries/traversals-explained.md) with AQL to
   retrieve direct and indirect neighbor nodes using a fixed or variable depth.
-  The [traversal order](../../aql/graphs/traversals.md) can be
+  The [traversal order](../../aql/graph-queries/traversals.md) can be
   depth-first, breadth-first, or in order of increasing edge weights
   ("Weighted Traversals"). Stop conditions for pruning paths are supported.
-  Traversal algorithms to get a [shortest path](../../aql/graphs/shortest-path.md),
-  [all shortest paths](../../aql/graphs/all-shortest-paths.md), paths in order of
-  increasing length ("[k Shortest Paths](../../aql/graphs/k-shortest-paths.md)"),
+  Traversal algorithms to get a [shortest path](../../aql/graph-queries/shortest-path.md),
+  [all shortest paths](../../aql/graph-queries/all-shortest-paths.md), paths in order of
+  increasing length ("[k Shortest Paths](../../aql/graph-queries/k-shortest-paths.md)"),
   and to enumerate all paths between two vertices
-  ("[k Paths](../../aql/graphs/k-paths.md)") are available, too.
+  ("[k Paths](../../aql/graph-queries/k-paths.md)") are available, too.
 
 - [**Pregel**](../../data-science/pregel/_index.md):
   Iterative graph processing for single servers with pre-built algorithms like
   PageRank, Connected Components, and Label Propagation. Cluster support
   requires the Enterprise Edition.
 
-- [**ArangoSearch for Text Search and Ranking**](../../index-and-search/arangosearch/_index.md):
+- [**ArangoSearch for Text Search and Ranking**](../../indexes-and-search/arangosearch/_index.md):
   A built-in search engine for full-text, complex data structures, and more.
   Exact value matching, range queries, prefix matching, case-insensitive and
   accent-insensitive search. Token, phrase, wildcard, and fuzzy search support
@@ -185,34 +185,34 @@ see [arangodb.com/community-server/](https://www.arangodb.com/community-server/)
 
 ## Performance
 
-- [**Persistent Indexes**](../../index-and-search/indexing/basics.md#persistent-index):
+- [**Persistent Indexes**](../../indexes-and-search/indexing/basics.md#persistent-index):
   Indexes are stored on disk to enable fast server restarts. You can create
   secondary indexes over one or multiple fields, optionally with a uniqueness
   constraint. A "sparse" option to only index non-null values is also available.
   The elements of an array can be indexed individually.
 
-- [**Inverted indexes**](../../index-and-search/indexing/working-with-indexes/inverted-indexes.md):
+- [**Inverted indexes**](../../indexes-and-search/indexing/working-with-indexes/inverted-indexes.md):
   An eventually consistent index type that can accelerate a broad range of
   queries from simple to complex, including full-text search.
 
-- [**Vertex-centric Indexes**](../../index-and-search/indexing/basics.md#vertex-centric-indexes):
+- [**Vertex-centric Indexes**](../../indexes-and-search/indexing/basics.md#vertex-centric-indexes):
   Secondary indexes for more efficient graph traversals with filter conditions.
 
-- [**Time-to-Live (TTL) Indexes**](../../index-and-search/indexing/basics.md#ttl-time-to-live-index):
+- [**Time-to-Live (TTL) Indexes**](../../indexes-and-search/indexing/basics.md#ttl-time-to-live-index):
   Time-based removal of expired documents.
 
-- [**Geo-spatial Indexes**](../../index-and-search/indexing/basics.md#geo-index):
+- [**Geo-spatial Indexes**](../../indexes-and-search/indexing/basics.md#geo-index):
   Accelerated geo-spatial queries for locations and GeoJSON objects, based on
   the S2 library. <!-- TODO: list supported queries? Centroid-limitations? -->
   Support for composable, distance-based geo-queries ("geo cursors").
 
 {{% comment %}} Experimental feature
-- [**Multi-dimensional indexes**](../../index-and-search/indexing/working-with-indexes/multi-dimensional-indexes.md):
+- [**Multi-dimensional indexes**](../../indexes-and-search/indexing/working-with-indexes/multi-dimensional-indexes.md):
   An index type to efficiently intersect multiple range queries, like finding
   all appointments that intersect a time range.
 {{% /comment %}}
 
-- [**Background Indexing**](../../index-and-search/indexing/basics.md#creating-indexes-in-background):
+- [**Background Indexing**](../../indexes-and-search/indexing/basics.md#creating-indexes-in-background):
   Indexes can be created in the background to not block queries in the meantime.
 
 - [**Index cache refilling**](../../release-notes/version-3.11/whats-new-in-3-11.md#index-cache-refilling):

site/content/arangodb/3.11/about/features/enterprise-edition.md

@@ -54,11 +54,11 @@ features outlined below. For additional information, see
 - [**Parallel index creation**](../../release-notes/version-3.10/whats-new-in-3-10.md#parallel-index-creation-enterprise-edition):
   Non-unique indexes can be created with multiple threads in parallel.
 
-- [**`minhash` Analyzer**](../../index-and-search/analyzers.md#minhash):
+- [**`minhash` Analyzer**](../../indexes-and-search/analyzers.md#minhash):
   Jaccard similarity approximation for entity resolution, such as for finding
   duplicate records, based on how many elements they have in common
 
-- [**`geo_s2` Analyzer**](../../index-and-search/analyzers.md#geo_s2):
+- [**`geo_s2` Analyzer**](../../indexes-and-search/analyzers.md#geo_s2):
   Efficiently index geo-spatial data using different binary formats, tuning the
   size on disk, the precision, and query performance.
 
@@ -76,15 +76,15 @@ features outlined below. For additional information, see
 - [**Pregel in Cluster**](../../data-science/pregel/_index.md#prerequisites):
   Distributed iterative graph analytics for cluster deployments.
 
-- [**Search highlighting**](../../index-and-search/arangosearch/search-highlighting.md):
+- [**Search highlighting**](../../indexes-and-search/arangosearch/search-highlighting.md):
   Get the substring positions of matched terms, phrases, or _n_-grams.
 
-- [**Nested search**](../../index-and-search/arangosearch/nested-search.md):
+- [**Nested search**](../../indexes-and-search/arangosearch/nested-search.md):
   Match arrays of objects with all the conditions met by a single sub-object,
   and define for how many of the elements this must be true.
 
 {{% comment %}} Experimental feature
-- **[`classification`](../../index-and-search/analyzers.md#classification) and [`nearest_neighbors` Analyzers](../../index-and-search/analyzers.md#nearest_neighbors)**:
+- **[`classification`](../../indexes-and-search/analyzers.md#classification) and [`nearest_neighbors` Analyzers](../../indexes-and-search/analyzers.md#nearest_neighbors)**:
   Classification of text tokens and finding similar tokens using supervised
   fastText word embedding models.
 {{% /comment %}}