🇺🇳 Discover a country UN SDGs concerns w/ Open Metadata on Neo4J

🤔 About

Did you already ask yourself how a country handles the The United Nations 17 Sustainable Goals (UN SDGs)

and discover how a country acts:

• 🪞 For Itself
• 🌏 For the region it belongs to
• 🌐 (more globally) for the world

Well...this is all what this post is about, as part of #NODES23 event.

🪝 Teaser

With this first 30' content, you'll discover how to:

1. 💡 Brainstorm with many creative AIs and build a project roadmap thanks to Self-Critique LLM Chain Using LangChain & SmartLLMChain
2. 🔗 Organize and link heterogeneous data together (Kaggle, DuckDb)
3. ⚙️ Build & RUN an efficient pipeline
4. 📦 Deliver a global well designed knowledge graph
5. 🗣️ Chat/Q&A with data in natural language: interact with the knowledge Graph (Langchain & Llama_Index)
6. 🔬 Interactively explore the graph (ie. see how the open data is linked to more global concerns from UNs)
7. 🌌 Dive into dataviz experience, with Kineviz GraphXR
8. 🧑‍🎨 Enjoy some movie data art experience with Gephi and Runway

📽️ Storytelling

Enough chat, here is the live session replay:

🧑‍🎨 Data art contemplation 🎶

The creation pipeline is as follows:

1. Export data from Neo4J Bloom
2. Import data into Gephi
3. Tune a dataviz with Gephi (Force Atlas based)
4. Inject dataviz into Runway Gen2
5. Play with Slow motion
6. Add soundtrack

Below the output:

🎹 More about "Clair de Lune de Claude Debussy - Myung Whun Chung (2013)" ☺️