APAC Training Series - Knowledge Graphs with ChatGPT

This is the third session as part of the training series.
Session #3: Knowledge Graphs with ChatGPT
ChatGPT seems fascinating?
In this session, we will do analysis of the OpenAI engine to produce meaningful output from the text in the form of a knowledge graph using Neo4j.
Resources:
1. Workshop slides: drive.google.c...
2. dzone.com/arti...
3. www.deeplearni...
4. towardsdatasci...
5. / graphgpt-convert-unstr...
6. huggingface.co/

[@RedCloudServices]

What happens if you query nodes or edges that have not been previously created in the neo4j schema? The entities must be dynamic (not fixed) as context is important to the user query and response not limited the prexisting graphdb schema. If the user said “films” or “people” instead of “movies” or “actors”? Do you see the dilemma here?

[@chainweaver]

This is fantastic. Can see great things being built on top of this. Do you have the code work available please.

[@neo4j]

Only the slides were shared: drive.google.com/file/d/1T5fx1iGS5sEE6dWuMbtQStrMBTlYA4SV/view?usp=sharing