Poor node deduplication - how to have more control?

[jbartot]

I see issues with node deduplication. Ingesting transcripts of informal conversations, I am getting, for example, duplicate nodes for what is clearly the same person, e.g., "John Doe" and "John T. Doe". Is there a way to have more control over this, of even post-training, a capability to collapse these nodes into a single one?

[rabner]

I've posted the same question on discord yesterday. I'm testing LightRAG with scientific papers which use abbreviated names very often. The same is for entities that are rephrased.

[jbartot]

@rabner - I guess I could try to preprocess the raw text and normalize the names before training, but being able to have some control over the deduping seems like a basic capability that is still missing.