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rework data platform content, make kubernetes more prominent
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‎site/content/data-platform/_index.md‎

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title: Arango Data Platform
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menuTitle: Arango Data Platform
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weight: 1
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layout: default
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description: >-
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The Arango Data Platform brings everything ArangoDB offers together to a single
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solution that you can deploy on-prem or use as a managed service
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---
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{{< tip >}}
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The Arango Data Platform & GenAI Suite is available as a pre-release. To get
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exclusive early access, [get in touch](https://arangodb.com/contact/) with
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the ArangoDB team.
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{{< /tip >}}
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The Arango Data Platform is a **Kubernetes-native** technical infrastructure that acts as the umbrella
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for hosting the entire ArangoDB offering of products. Built from the ground up for
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cloud-native orchestration, the platform leverages the power of Kubernetes to make it easy
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to deploy, scale, and operate the core ArangoDB database system along with any additional
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GenAI solutions for GraphRAG, graph machine learning, data explorations, and more. You can
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run it on-premises or in the cloud yourself on top of Kubernetes to access all
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of the platform features with enterprise-grade automation and reliability.
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{{< cards >}}
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{{% card title="What is the Arango Data Platform?" link="about/" %}}
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The Arango Data Platform is the umbrella for hosting the entire ArangoDB offering
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of products, including GraphML and GraphRAG.
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{{% card title="Get started with the Arango Data Platform" link="get-started/" %}}
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Deploy the core ArangoDB database system with Kubernetes orchestration.
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Optionally add the GenAI Suite to turn data into an AI-powered knowledge engine.
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{{% /card %}}
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{{% card title="Features and Architecture" link="features/" %}}
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Explore the Kubernetes-native architecture, unified interface, and enterprise-grade capabilities of the Arango Data Platform.
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{{% /card %}}
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{{% card title="ArangoDB Kubernetes Operator" link="../../arangodb/3.12/deploy/kubernetes/" %}}
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Learn about the official ArangoDB Kubernetes Operator that powers the Arango Data Platform.
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{{% /card %}}
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{{% card title="Graph Visualizer" link="graph-visualizer/" %}}
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Explore your graph data with an intuitive web interface.
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Explore your graph data with an intuitive web interface and sophisticated querying capabilities.
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{{% /card %}}
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{{% card title="GenAI Suite" link="../../gen-ai/" %}}
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Supercharge your platform with GraphRAG, GraphML, and advanced analytics for AI-powered data insights.
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{{% /card %}}
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{{% card title="ArangoDB Core Database" link="../../arangodb/3.12/" %}}
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Discover the multi-model database at the heart of the platform supporting graphs, documents, key-value, and vector search.
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{{% /card %}}
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{{< /cards >}}

‎site/content/data-platform/about/features.md‎

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‎site/content/data-platform/features.md‎

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---
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title: Feature list of the Arango Data Platform
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menuTitle: Features
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weight: 5
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description: >-
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The Arango Data Platform is a scalable Kubernetes-native architecture that gets you all features
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of ArangoDB as a single solution with a unified interface
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---
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## Architecture
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The Arango Data Platform is built on a modern, cloud-native foundation designed for enterprise scalability and reliability.
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{{< tip >}}
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**Kubernetes-Native Architecture**: Built as a cloud-native platform that leverages
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[Kubernetes](https://kubernetes.io/) for container orchestration, automated deployment,
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scaling, and management. Powered by the official
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[ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/) for
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enterprise-grade database management and high availability.
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{{< /tip >}}
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- **Core Database**: The ArangoDB database system forms the solid core
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of the Arango Data Platform.
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- **Helm**: A package manager for Kubernetes that enables consistent, repeatable
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installations and version control.
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- **Envoy**: A high-performance service proxy that acts as the gateway for the
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Arango Data Platform for centralizing authentication and routing.
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- **Web interface**: The Platform includes a unified, browser-based UI that lets
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you access its features in an intuitive way. Optional products like the
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GenAI Suite seamlessly integrate into the UI if installed.
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## Kubernetes Integration
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At its core, the Arango Data Platform is purpose-built for Kubernetes environments, leveraging the
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[official ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/docs/)
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(`kube-arangodb`) to deliver enterprise-grade automation, scalability, and operational excellence.
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## Features
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The Arango Data Platform provides these core capabilities out of the box:
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- [**ArangoDB Core**](../../arangodb/3.12/_index.md): The ArangoDB database system with support for
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graphs, documents, key-value, full-text search, and vector search.
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- [**Graph Visualizer**](graph-visualizer.md):
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A web-based tool for exploring your graph data with an intuitive interface and
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sophisticated querying capabilities.
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## Extend the Arango Data Platform with GenAI capabilities
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Take your Arango Data Platform to the next level with the [**GenAI Suite**](../../gen-ai/_index.md) that offers advanced AI and machine learning capabilities that integrate seamlessly into the platform's unified web interface.
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What you get with the GenAI Suite:
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- [GraphRAG](../../gen-ai/graphrag/): Generate knowledge graphs from documents and enable
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conversational querying of your data.
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- [GraphML](../../gen-ai/graphml/): Apply machine learning algorithms that leverage graph
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structure for better predictions.
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- [Graph Analytics](../../gen-ai/graph-analytics/): Run advanced algorithms like PageRank
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to discover influential nodes and patterns.
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- [Jupyter notebooks](../../gen-ai/notebook-servers.md): Run Jupyter Notebooks to build and
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experiment with graph-powered data, GenAI, and machine learning workflows directly connected
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to ArangoDB databases.
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- Public and private LLM support: Use public LLMs such as OpenAI
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or private LLMs with [Triton Inference Server](../gen-ai/services/triton-inference-server.md).
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- [MLflow integration](../gen-ai/services/mlflow.md): Use the popular MLflow as a model registry
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for private LLMs or to run machine learning experiments as part of the Arango Data Platform.
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{{< tip >}}
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The GenAI Suite integrates directly into the existing platform interface, no need for
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separate systems to manage or learn. A separate license is required.
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{{< /tip >}}
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‎site/content/data-platform/about/_index.md‎ renamed to ‎site/content/data-platform/get-started.md‎

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---
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title: The Arango Data Platform
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menuTitle: Platform
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weight: 5
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title: Get Started with the Arango Data Platform
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menuTitle: Get Started
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weight: 10
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description: >-
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The Arango Data Platform brings everything ArangoDB offers together to a single
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solution that you can deploy on-prem or use as a managed service
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run it on-premises or in the cloud yourself on top of Kubernetes to access all
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of the platform features.
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## Features of the Arango Data Platform
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- **Core database system**: The ArangoDB graph database system for storing
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interconnected data.{{< comment >}} You can use the free Community Edition or the commercial
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Enterprise Edition.{{< /comment >}}
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- **Graph Visualizer**: A web-based tool for exploring your graph data with an
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intuitive interface and sophisticated querying capabilities.
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- **Graph Analytics**: A suite of graph algorithms including PageRank,
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community detection, and centrality measures with support for GPU
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acceleration thanks to Nvidia cuGraph.
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- **GenAI Suite**: A set of machine learning services, APIs, and
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user interfaces that are available as a package as well as individual products.
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- **GraphML**: A turnkey solution for graph machine learning for prediction
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use cases such as fraud detection, supply chain, healthcare, retail, and
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cyber security.
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- **GraphRAG**: Leverage ArangoDB's graph, document, key-value,
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full-text search, and vector search features to streamline knowledge
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extraction and retrieval.
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{{< comment >}}TODO: Not available in prerelease version
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- **Txt2AQL**: Unlock natural language querying with a service that converts
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user input into ArangoDB Query Language (AQL), powered by fine-tuned
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private or public LLMs.
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{{< /comment >}}
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- **GraphRAG Importer**: Extract entities and relationships from large
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text-based files, converting unstructured data into a knowledge graph
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stored in ArangoDB.
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- **GraphRAG Retriever**: Perform semantic similarity searches or aggregate
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insights from graph communities with global and local queries.
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- **Public and private LLM support**: Use public LLMs such as OpenAI
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or private LLMs with [Triton Inference Server](../../gen-ai/services/triton-inference-server.md).
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- **MLflow integration**: Use the popular MLflow as a model registry for private LLMs
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or to run machine learning experiments as part of the Arango Data Platform.
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- **Jupyter notebooks**: Run a Jupyter kernel in the platform for hosting
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interactive notebooks for experimentation and development of applications
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that use ArangoDB as their backend.
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{{< comment >}}TODO: Mostly unrelated to Platform, vector index in core,
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- **Vector embeddings**: You can train machine learning models for later use
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in vector search in conjunction with the core database system's `vector`
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index type. It allows you to find similar items in your dataset.
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{{< /comment >}}
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## Get started with the Arango Data Platform
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### Use the Arango Data Platform as a managed service
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## Use the Arango Data Platform as a managed service
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The Arango Data Platform is not available as a managed service yet, but it will
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become available for the [Arango Managed Platform (AMP)](../../amp/_index.md)
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in the future. Until then, you can request early access to the self-hosted
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Arango Data Platform for testing.
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### Self-host the Arango Data Platform
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## Self-host the Arango Data Platform
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You can set up and run the Arango Data Platform on-premises or in the cloud and
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manage this deployment yourself.
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#### Requirements for self-hosting
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{{< info >}}
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**Kubernetes-Native**: The Arango Data Platform is built specifically for Kubernetes
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environments and relies on the official [ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/)
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to provide automated deployment, scaling, and management capabilities.
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{{< /info >}}
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### Requirements for self-hosting
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- **Early access to the Arango Data Platform**:
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[Get in touch](https://arangodb.com/contact/) with the ArangoDB team to get
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#### Setup
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### Setup
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1. Obtain a zip package of the Arango Data Platform for the offline installation.
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It includes helm charts, manifests, and blobs of the container image layers.
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--set crds.enabled=true
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```
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4. Install the ArangoDB operator for Kubernetes `kube-arangodb` with helm,
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4. Install the [ArangoDB Kubernetes Operator](https://arangodb.github.io/kube-arangodb/) `kube-arangodb` with helm,
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with options to enable webhooks, certificates, and the gateway feature.
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```sh

‎site/content/data-platform/release-notes.md‎

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and GenAI capabilities as a single solution with a unified interface. Deploy the
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Platform on-premise or in the cloud on top of Kubernetes.
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To get started, see [Self-host the Arango Data Platform](about/_index.md#self-host-the-arango-data-platform).
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To get started, see [Self-host the Arango Data Platform](./get-started.md#self-host-the-arango-data-platform).
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### GenAI Suite
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‎site/content/gen-ai/graph-analytics.md‎

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ArangoDB offers a feature for running algorithms on your graph data,
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called Graph Analytics Engines (GAEs). It is available on request for the
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[Arango Managed Platform (AMP)](https://dashboard.arangodb.cloud/home?utm_source=docs&utm_medium=cluster_pages&utm_campaign=docs_traffic)
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and included in the [Arango Data Platform](../data-platform/about/_index.md).
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and included in the [Arango Data Platform](../data-platform/_index.md).
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Key features:
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