π€ 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:
- πͺ For Itself
- π For the region it belongs to
- π (more globally) for the world
Well...this is all what this post is about, as part of #NODES23
event.
πͺ Teaser
With this first 30'
content, you'll discover how to:
-
π‘ Brainstorm with many creative AIs and build a project roadmap thanks to Self-Critique LLM Chain Using LangChain &
SmartLLMChain
- π Organize and link heterogeneous data together (Kaggle, DuckDb)
- βοΈ Build & RUN an efficient pipeline
- π¦ Deliver a global well designed knowledge graph
- π£οΈ Chat/Q&A with data in natural language: interact with the knowledge Graph (Langchain & Llama_Index)
- π¬ Interactively explore the graph (ie. see how the open data is linked to more global concerns from UNs)
- π Dive into dataviz experience, with Kineviz GraphXR
- π§βπ¨ Enjoy some movie data art experience with Gephi and Runway
π½οΈ Storytelling
Enough chat, here is the live session replay:
π§βπ¨ Data art contemplation πΆ
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
Runway
Gen2 - Play with Slow motion
- Add soundtrack
Below the output:
Top comments (11)
β 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.
β Question