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69 changes: 69 additions & 0 deletions site/content/ai-suite/release-notes.md
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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.
101 changes: 79 additions & 22 deletions site/content/data-platform/release-notes.md
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Expand Up @@ -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)

<small>Introduced in: v3.12.5</small>
<small>ArangoDB Enterprise Edition: v3.12.6</small>

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)

<small>ArangoDB Enterprise Edition: v3.12.5</small>

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).