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+---
+title: What's new in the AI Suite
+menuTitle: Release notes
+weight: 100
+description: >-
+ Features and improvements in the AI Suite of the Arango Data Platform
+---
+{{< tip >}}
+The AI Suite is available as a pre-release. To get exclusive early access,
+[get in touch](https://arango.ai/contact-us/) with the Arango team.
+{{< /tip >}}
+
+## October 2024 (pre-release)
+
+This release introduces new features and enhancements to the AI Suite components.
+See also the [Arango Data Platform Release Notes](../data-platform/release-notes.md).
+
+### GraphRAG enhancements
+
+- **Instant and Deep Search**: New [Retriever](reference/retriever.md#search-methods) search methods
+ optimized for different use cases. Instant Search provides fast responses with
+ streaming support. Deep Search offers detailed, accurate responses for complex queries
+ requiring high accuracy. Both methods are accessible via the API or the
+ [GraphRAG web interface](graphrag/web-interface.md#chat-with-your-knowledge-graph).
+
+- **Update Knowledge Graphs**: [Add additional data sources](graphrag/web-interface.md#update-the-knowledge-graph)
+ to existing Knowledge Graphs through the web interface. Upload new files to
+ automatically update the Knowledge Graph and underlying collections with new data.
+
+- **Unified LLM provider configuration**: Simplified deployment configuration using
+ OpenAI-compatible APIs. Mix and match providers for chat and embeddings (e.g.,
+ use OpenRouter for chat and OpenAI for embeddings). Support for OpenAI, OpenRouter,
+ Gemini, Anthropic, and any self-hosted LLM with OpenAI-compatible endpoints.
+
+### AQLizer
+
+The [Natural Language to AQL Translation Service](reference/natural-language-to-aql.md)
+enables you to query your ArangoDB database using natural language or get
+LLM-powered answers to general questions.
+
+You can generate AQL queries from natural language directly in the Query Editor using the
+[AQLizer](aqlizer.md) mode. More advanced features are available via the API.
+
+## July 2024 (pre-release)
+
+This release marks the initial internal launch of the AI Suite with the following
+components. For Data Platform features in this release, see
+[Arango Data Platform Release Notes](../data-platform/release-notes.md).
+
+- **[GraphRAG](graphrag/_index.md)**: Transform unstructured documents into
+ intelligent knowledge graphs and natural language querying through Importer
+ and Retriever services.
+
+- **[GraphML](graphml/_index.md)**: Apply machine learning to graphs with node
+ classification and embedding generation, built on GraphSAGE framework.
+
+- **[Graph Analytics](graph-analytics.md)**: Run algorithms like PageRank,
+ Connected Components, and more.
+
+- **[Jupyter Notebooks](notebook-servers.md)**: Launch integrated Jupyter
+ notebook servers with pre-installed ArangoDB drivers and data science libraries
+ for interactive experimentation.
+
+- **[MLflow Integration](reference/mlflow.md)**: Use MLflow as a model registry
+ for private LLMs and machine learning experiment tracking.
+
+- **[Triton Inference Server](reference/triton-inference-server.md)**: Host
+ private Large Language Models using NVIDIA Triton Inference Server for secure,
+ on-premises AI capabilities.
diff --git a/site/content/data-platform/release-notes.md b/site/content/data-platform/release-notes.md
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--- a/site/content/data-platform/release-notes.md
+++ b/site/content/data-platform/release-notes.md
@@ -6,34 +6,91 @@ description: >-
Features and improvements in the Arango Data Platform
---
{{< tip >}}
-The Arango Data Platform & AI Suite are available as a pre-release. To get
-exclusive early access, [get in touch](https://arango.ai/contact-us/) with
-the Arango team.
+The Arango 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 >}}
-## Arango Data Platform
+## October 2024 (pre-release)
-Introduced in: v3.12.5
+ArangoDB Enterprise Edition: v3.12.6
-The Arango Data Platform is a scalable architecture that offers you all features
-of the core ArangoDB database system along with graph-powered machine learning
-and AI capabilities as a single solution with a unified interface. Deploy the
-Platform on-premise or in the cloud on top of Kubernetes.
+This release includes new features and enhancements for the Data Platform web
+interface, running with ArangoDB Enterprise Edition v3.12.6. For AI Suite updates
+in this release, see [AI Suite Release Notes](../ai-suite/release-notes.md).
-To get started, see [Self-host the Arango Data Platform](./get-started.md#self-host-the-arango-data-platform).
+### Query Editor
-### AI Suite
+A new [Query Editor](query-editor.md) has been integrated into the
+Arango Data Platform web interface for writing, executing, and managing AQL queries.
-The Arango AI Data Platform features dedicated AI and data science services, built upon
-the powerful ArangoDB database core.
+Key features:
-The AI Suite consists of the following components, each featuring an intuitive,
-user-friendly interface seamlessly integrated into the Arango Data Platform web interface:
-- GraphRAG
-- GraphML
-- Jupyter Notebooks
-- MLflow integration
-- Graph Visualizer
+- **Tabbed interface**: Work on multiple queries concurrently with side-by-side
+ query and results views.
+- **Query operations**: Run, explain, and profile queries with dedicated buttons
+ and result history tracking.
+- **Saved queries**: Save and share frequently used queries with all users in the
+ database, persisted across sessions.
+- **Query monitoring**: View running queries and slow query logs, with the ability
+ to kill long-running operations.
+- **Flexible viewport**: Drag and drop tabs to reorganize panels horizontally or
+ vertically.
-To learn more, see [AI Suite](../ai-suite/_index.md)
-documentation.
+### Graph Visualizer enhancements
+
+The [Graph Visualizer](graph-visualizer.md) has been significantly enhanced with
+new visual customization capabilities, improved navigation features, and better
+performance for exploring large-scale graphs.
+
+Key improvements:
+
+- **Icon assignment**: Assign pictograms to node collections for quick visual
+ identification of entity types on the canvas.
+- **Theme support**: Create and manage multiple themes to highlight different
+ aspects of graph data, with default themes that automatically color different
+ collections on the canvas.
+- **Shortest path**: Find and visualize the shortest path between two selected
+ nodes directly on the canvas.
+- **Enhanced tooltips**: Hover over nodes and edges to view document IDs and
+ customizable additional attributes without opening the full properties dialog.
+- **Bulk selection**: Select all nodes or edges of a specific type (collection)
+ from the Legend panel, showing the count of elements per collection.
+- **Edge properties view**: View and edit edge properties through a dedicated
+ properties dialog with Form and JSON editing modes.
+- **Attribute-based styling**: Define conditional styling rules based on document
+ attributes to dynamically color and style nodes and edges (e.g., apply colors
+ based on genre or other field values).
+- **Performance improvements**: Optimized rendering for large graphs with
+ millions of nodes and edges.
+
+## July 2024 (pre-release)
+
+ArangoDB Enterprise Edition: v3.12.5
+
+This release marks the initial internal launch of the Arango Data Platform, running with
+ArangoDB Enterprise Edition v3.12.5. For AI Suite features in this release, see
+[AI Suite Release Notes](../ai-suite/release-notes.md).
+
+### Arango Data Platform
+
+The Arango Data Platform is a Kubernetes-native technical infrastructure that
+brings together the entire ArangoDB offering into a unified solution.
+See [Get Started with the Arango Data Platform](get-started.md).
+
+What's included:
+
+- **ArangoDB Enterprise Edition**: Multi-model database foundation supporting
+ graphs, documents, key-value, vector search, and full-text search capabilities.
+- **Graph Visualizer**: Sophisticated web-based interface for interactive graph
+ exploration, visual customization, and direct graph editing.
+- **Arango Platform Suite**: Enterprise-grade features including high availability
+ and monitoring, comprehensive APIs and connectors, and centralized orchestration
+ and resource management.
+- **Kubernetes orchestration**: Powered by the official ArangoDB Kubernetes
+ Operator for automated deployment, scaling, and management.
+- **Unified web interface**: Single interface for accessing all Platform services
+ and components.
+
+The Platform can be extended with the [AI Suite](../ai-suite/_index.md) for
+advanced capabilities like GraphRAG, GraphML, Graph Analytics, AQLizer, and more
+(requires separate license).