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I think the confusion stems from the fact that we call a database what is really a database management system.
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I'd just like to interject for a moment. What you're refering to as a database, is in fact a database management system, or as I've recently taken to calling it, database plus management system.
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You confuse the raw fist with the master who calculates the shortest path to your destruction.
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Yes, the author is likely unaware of this. They see markdown files with links, so a graph and the set of those files, so a "database".

https://neo4j.com/docs/graph-data-science/current/algorithms...

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Neo4j looooooves the "if you think about it, everything is graphs!" marketing maneuver. They (their marketing department) were the very first thing I thought of when I read this headline.
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"Everything is graphs, so let's use a graph DBMS for anything" is a classic blunder
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I've seen it work to sell their product to managers who definitely should have gone with something else, so I get why they do it. It works.
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His argument is that the LLM is the query engine. By that logic you can approximate anything since LLMs can.
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Indeed, what is the point of links/edges when the llm can figure out the relations by itself?
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>what is the point of links/edges when the llm can figure out the relations by itself

Making it work less, faster, and saving tokens. Duh!

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