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# How Arango Evolved in 2025—and What It Enables Next • Arango

**[ArangoDB](https://daily.dev/sources/arango)** · 5 min read · 0 upvotes · 0 comments

## Summary

ArangoDB evolved significantly in 2025, strengthening its multi-model database core while expanding into a unified AI data platform. The first half focused on performance improvements, developer productivity, and Kubernetes-native operations. The second half introduced optional graph-powered AI capabilities including GraphRAG, VectorRAG, and HybridRAG. In October, Arango launched the AI Data Platform at Nvidia GTC, combining ArangoDB with unified tooling, cloud-native orchestration, and AI features like natural language querying (AQLizer), MLflow integration, and Triton Inference Server support. The platform enables teams to adopt AI capabilities at their own pace while maintaining production workloads on the proven multi-model foundation.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://arango.ai/blog/how-arango-evolved-in-2025-and-what-it-enables-next/>

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---

Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#kubernetes](https://daily.dev/tags/kubernetes), [#architecture](https://daily.dev/tags/architecture), [#arangodb](https://daily.dev/tags/arangodb)

[View this post on daily.dev](https://daily.dev/posts/how-arango-evolved-in-2025-and-what-it-enables-next-arango-bggyc03wg)

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