WIP: Add platform overview content from #671

Author: Simran-B

site/content/3.13/components/platform.md

@@ -0,0 +1,71 @@
+---
+title: The ArangoDB Platform
+menuTitle: Platform
+weight: 169
+description: >-
+  The ArangoDB Platform brings everything ArangoDB offers together to a single
+  solution that you can deploy on-prem or use as a managed service
+---
+The ArangoDB Platform is a technical infrastructure that acts as the umbrella
+for hosting the entire ArangoDB offering of products. The Platform makes it easy
+to deploy and operate the core ArangoDB database system along with any additional
+ArangoDB products for machine learning, data explorations, and more. You can
+run it on-premise or in the cloud yourself on top of Kubernetes, as well as use
+ArangoDB's managed service, the [ArangoGraph Insights Platform](../arangograph/_index.md)
+to access all of the platform features.
+
+## Requirements for self-hosting
+
+- **Kubernetes**: Orchestrates the selected services that comprise the
+  ArangoDB Platform, running them in containers for safety and scalability.
+- **Licenses**: If you want to use any paid features, you need to purchase the
+  respective packages.
+
+## Products available in the ArangoDB Platform
+
+- **Core database system**: The ArangoDB graph database system for storing
+  interconnected data. You can use the free Community Edition or the commercial
+  Enterprise Edition.
+- **Graph visualizer**: A web-based tool for exploring your graph data with an
+  intuitive interface and sophisticated querying capabilities.
+- **Data-science suite**: A set of paid machine learning services, APIs, and
+  user interfaces that are available as a package as well as individual products.
+  - **Vector embeddings**: You can train machine learning models for later use
+    in vector search in conjunction with the core database system's `vector`
+    index type. It allows you to find similar items in your dataset. <!-- TODO: GraphRAG importer/retriever -->
+  - **GraphRAG solutions**: Leverage ArangoDB's Graph, Document, Key-Value,
+      Full-Text Search, and Vector Search features to streamline knowledge
+      extraction and retrieval.
+      - **Txt2AQL**: Unlock natural language querying with a service that converts
+        user input into ArangoDB Query Language (AQL), powered by fine-tuned
+        private or public LLMs. <!-- TODO: GenAI -->
+      - **GraphRAG Importer**: Extract entities and relationships from large
+        text-based files, converting unstructured data into a knowledge graph
+        stored in ArangoDB.
+      - **GraphRAG Retriever**: Perform semantic similarity searches or aggregate
+        insights from graph communities with global and local queries.
+  - **GraphML**: A turnkey solution for graph machine learning for prediction
+    use cases such as fraud detection, supply chain, healthcare, retail, and
+    cyber security.
+  - **Graph Analytics**: A suite of graph algorithms including PageRank,
+    community detection, and centrality measures with support for GPU
+    acceleration thanks to Nvidia cuGraph.
+  - **Jupyter notebooks**: Run a Jupyter kernel in the platform for hosting
+    interactive notebooks for experimentation and development of applications
+    that use ArangoDB as their backend.
+
+<!-- TODO: Which product requires what license, free trial -->
+
+## Get started with the ArangoDB Platform
+
+### Use the ArangoDB Platform as a managed service
+
+<!-- TODO: Sign up at https://dashboard.arangodb.cloud -->
+
+### Self-host the ArangoDB Platform
+
+<!-- TODO: Adam's installer -->
+
+## Interfaces
+
+<!-- TODO: UIs, APIs (with links to generated docs) -->

site/content/3.13/deploy/_index.md

@@ -45,6 +45,15 @@ on a single DB-Server node for better performance and with transactional
 guarantees similar to a single server deployment. OneShard is primarily intended
 for multi-tenant use cases.
 
+### ArangoDB Platform
+
+The ArangoDB Platform is the umbrella for deploying and operating the entire
+ArangoDB product offering with a unified interface in a Kubernetes cluster.
+It is offered for self-hosting on-prem or in the cloud and as a managed service,
+superseding the ArangoGraph Insights Platform.
+
+See [The ArangoDB Platform](../components/platform.md) for details.
+
 ## How to deploy
 
 There are different ways to set up and operate ArangoDB.