Register: [https://gdg.community.dev/events/details/google-gdg-berlin-presents-ai-amp-cloud-graph-based-recommenders-and-cost-efficient-generative-architectures/](https://gdg.community.dev/events/details/google-gdg-berlin-presents-ai-amp-cloud-graph-based-recommenders-and-cost-efficient-generative-architectures/)

Join us for a deep dive into two exciting froantiers of AI. We’ll explore how graph-based approaches can enhance recommendation systems, and how to architect scalable, cost-efficient generative AI platforms using Cloud Run, GKE, and Vertex AI. Expect practical insights into building smarter algorithms and running them efficiently in the cloud.

**A Sommelier's Guide to Recommendation Algorithms: Classical and Graph-Based Recommender Systems**

by **Moritz Wegener**
Recommendation engines are all around us – on Netflix, Spotify, Amazon and many other platforms, they subtly shape what we watch, listen to, or buy. In fact, around 80% of what users watch on Netflix comes from recommendations, making these systems critical for user satisfaction and engagement. But building effective recommendation systems comes with challenges: massive datasets, complex user preferences, and the need for fast, accurate predictions.

Graph Database - DACH (Germany, Austria, Switzerland )

Neo4j

Felix Müller

Marc Haller

Bazeed Shaik

Victor Gras

C² Wulff

Samil

Athi

Valery Sorokin

Tomris Teymurlu

Gigi Leung

Omar Chimère Ndiaye

rnai.atmiya

Shanti

Sreerag

mk1811527

AI & Cloud: Graph-Based Recommenders and Cost-Efficient Generative Architectures

Google

Season 03 Episode 2 of Going Meta – a Series on Semantics, Knowledge Graphs and All Things AI
Topic:

Jesús Barrasa: [https://twitter.com/BarrasaDV](https://twitter.com/BarrasaDV)
Repository: [https://github.com/jbarrasa/goingmeta](https://github.com/jbarrasa/goingmeta)
Knowledge Graph Book: [https://bit.ly/3LaqE6b](https://bit.ly/3LaqE6b)
Previous Episodes: [https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/](https://neo4j.com/video/going-meta-a-series-on-graphs-semantics-and-knowledge/)

Graph Database - Online

Disha Sharma

Vikram Jha

Elijah Angelman

MarkFMB

Peter

Julio Saldaña

James K

Vman Me

Annie Salazar

Going Meta S03E02 – a Series on Semantics, Knowledge Graphs and All Things AI

Online event

### Step into the future of Open Source innovation at India’s biggest developer conference — **OpenSource India 2025**, right in the heart of Bengaluru! 🧑‍💻

This **October**, join a vibrant gathering of open-source contributors, developers, and technology leaders for an immersive experience celebrating the spirit of collaboration and the power of community-driven innovation. **[OpenSource India 2025](https://www.opensourceindia.in/)** is your gateway to the forefront of open technologies — from AI and cloud-native systems to DevOps, security, and developer tools shaping the future of software. 🚀

#### Who Should Join?

* Open source developers, maintainers, and contributors
* AI/ML engineers, DevOps professionals, and cloud architects
* Startup founders, community leaders, and students passionate about open tech

#### What Awaits You?

* **Keynote Sessions:** Inspiring talks from open-source pioneers, industry experts, and thought leaders
* **Deep-Dive Tracks:** Hands-on sessions covering AI, cloud, DevOps, databases, and security
* **Community Showcase:** Explore projects, tools, and innovations driving the open-source revolution
* **Networking & Collaboration:** Dedicated spaces to connect, share ideas, and collaborate with India’s thriving open-source community

Let’s build the future of software—**openly, collaboratively, and fearlessly.** 🌍

More details here: [https://www.opensourceindia.in/](https://www.opensourceindia.in/)

Graph Database Bengaluru

Arshad Mohammed

pihusnaik01

vaishnavi1melagiri

Akshat Anand

Amruta Bandhu Choudhury

Thilak Kumar M

Punith N

Sumit Saha

harishyadavkr007

Drishti Mishra

pavansai tadepalli

Mohammed Madani

Shalini Kumari

shree

Dilip Chaudhary

Vinay

Madhu M R

MD FARHAN KHAN

Varun Gopal

[Sponsored Event] OpenSourceIndia 2025

NIMHANS Convention Centre

NODES, the biggest community gathering dedicated to graph-powered apps, knowledge graphs, and AI, returns on November 6, 2025, for its seventh year.

Join thousands of developers and data and AI practitioners for this free, 24-hour[ conference ](https://neo4j.com/nodes-2025/)to learn about the latest advancements in intelligent systems and gain insights from speakers who showcase their implementations, tools, and models.

This year's four tracks are:

* **Applications:** Libraries, Frameworks, and Platforms
* **AI Engineering:** Generative AI, RAG, and Agents
* **Data Intelligence:** Machine Learning, Algorithms, and Models
* **Graphs:** Visualization, Knowledge Graphs and Tips & Tricks

Don't miss it. [Register now](https://neo4j.com/nodes-2025/).

Before NODES, you can join [Road to NODES workshops](https://neo4j.com/nodes-2025/) — practical, hands-on sessions to build your graph skills ahead of the conference.

Graph Database Sydney

Q. Ve

James Litten

Faramarz

Duyen

Erran Su

Nasser

Mel Loveridge

Bernice Yeow

Ashish Krishnan

NODES 2025 - Asia Pacific 

Graph Database - San Francisco

NODES 2025 - Europe 

Neo4j MeetUp

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Connect with our diverse Neo4j community: software engineers, data scientists, mathematicians, and academics. We're for anyone interested in learning about and working with graph databases for social, spatial, hierarchical, or other highly connected data sets. We host hands-on lab sessions, technology reviews, topical lectures, and plenty of social beer nights. Curious about graphs or noSQL tech? Join us!

A comprehensive guide to building GenAI applications using Neo4j's KGs.

Building Neo4j-Powered Apps with Gen-AI

Learn about LLMs + Knowledge Graphs, RAG and more

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Building Neo4j-Powered Apps with Gen-AI

Free Hands-on Online Training

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