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KAG – Knowledge Graph RAG Framework

(github.com)
230 points taikon | 2 comments | 30 Dec 24 02:55 UTC | HN request time: 0s | source
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isoprophlex ◴[30 Dec 24 06:49 UTC] No.42547133[source]▶
Fancy, I think, but again no word on the actual work of turning a few bazillion csv files and pdf's into a knowledge graph.

I see a lot of these KG tools pop up, but they never solve the first problem I have, which is actually constructing the KG itself.

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1. axpy906 ◴[30 Dec 24 14:14 UTC] No.42549416[source]▶
Came here to say this and glad I am not the only one. Building out an ontology seems like quite an expensive process. It would be hard to convince my stakeholders to do this.
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2. lunatuna ◴[01 Jan 25 01:14 UTC] No.42563165[source]▶
There are several ontologies already well built out. Utilities and pharma both have them as an example. They are built by committee of vendors and users. They take a bit to penetrate the approach and language used. Often they are built to be adaptable.

I’ve had good success with CIM for Utilities to build a network graph for modelling the distribution and transmission networks adding sensor and event data for monitoring and analysis about 15 years ago.

Anywhere there is a technology focussed consortium of vendors and users building standards you will likely find a prebuilt graph. When RDF was “hot” many of the these groups spun out some attempt to model their domain.

In summary, if you need one look for one. Maybe there’s one waiting for you and you get to do less convincing and more doing.