So this post is about using RAG/LLM to generate queries (Cypher in this case, to be consumed by Kuzu). That way you could ask natural-language questions to be answered by the result of the query.
I wonder if you could comment about other areas of AI+Graphs (I think this is mostly Graph Neural Networks, not sure if anything else?).
For instance, I found PyG and Deep Graph Library but the use cases are so jargon-heavy [1], [2], I'm not sure about the real world applications, in layman terms.
I wonder if you could comment about other areas of AI+Graphs (I think this is mostly Graph Neural Networks, not sure if anything else?).
For instance, I found PyG and Deep Graph Library but the use cases are so jargon-heavy [1], [2], I'm not sure about the real world applications, in layman terms.
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1: https://pytorch-geometric.readthedocs.io/en/latest/tutorial/...
2: https://docs.dgl.ai/tutorials/blitz/index.html