🤔 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:
-
💡 Brainstorm with many creative AIs and build a project roadmap thanks to Self-Critique LLM Chain Using LangChain &
SmartLLMChain - 🔗 Organize and link heterogeneous data together (Kaggle, DuckDb)
- ⚙️ Build & RUN an efficient pipeline
- 📦 Deliver a global well designed knowledge graph
- 🗣️ Chat/Q&A with data in natural language: interact with the knowledge Graph (Langchain & Llama_Index)
- 🔬 Interactively explore the graph (ie. see how the open data is linked to more global concerns from UNs)
- 🌌 Dive into dataviz experience, with Kineviz GraphXR
- 🧑🎨 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:
-
Export data from
Neo4J Bloom -
Import data into
Gephi - Tune a dataviz with Gephi (Force Atlas based)
-
Inject dataviz into
RunwayGen2 - Play with Slow motion
- Add soundtrack
Below the output:
🎹 More about "Clair de Lune de Claude Debussy - Myung Whun Chung (2013)" ☺️
Top comments (8)
❔ Context
From Python/LlamaIndex and Python/Langchain I could successfully interact with a Neo4J instance :
Now, I would like to use this on Quarkus for a corporate KG and I wonder how this could be achieved on the Quarkus stack.
❔ Question