[msejas]

I called it a graph because really its a DAG (Directed Acyclic Graph) , in my example I kept it simple so there was only one input to every node, but in more advanced use cases you might have a synthesis node that takes in 2 or more inputs making it more akin to an execution graph in Tensorflow for example

[greazy]

DAGs are used in scientific workflows like snakemake. I wonder if such pipeline engines are use in LLM space.