Nathan Daly
15 July 2020
less than a minute read
Molham Aref and Nathan Daly describe their experience using Julia to build a next-generation knowledge graph database that combines reasoning and learning to solve problems that have historically been intractable. They explain how Julia's unique features enabled them to build a high-performance database with less time and effort.
About a decade ago, Marko Rodriguez wrote a blog post on Loopy Lattices. It became infamous amongst graph database practitioners as it taught them a very important lesson: Never give in to the temptation to ask for all potential paths between two nodes.
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